Data 501 - Olympics Full Code
Rochelle Rafn
11/3/2021
install.packages(“rvest”)
library(tidyverse)
library(ggplot2)
library(rvest)
library(dplyr)Are humans getting faster? Or is it that more are participating?
100m Mens and Womens races in the Olympics over the last 100 years
Adidas, established in Herzogenaurach, Germany in 1949. Founded by Adolf “Adi” Dassler and brother Rudolf they developed spiked running shoes (spikes) for multiple athletic events. To enhance the quliaty of spiked athletic footwear, he transitioned from a previous model of heavy metal spikes to utilizing canvas and rubber. 1936 they convinced sprinter Jesse Owens to use the hand made spikes at the 1936 Summer Olympics (received 4 gold medals)
Nike, established in Eugene, OR 1964. Originally known as “Blue Ribbon Sports (BRS)” founded at U of O track athlete Phil Knight and his coach Bill Bowerman. The company initially operated in Eugene, OR as a distributor for Japanese shoe maker Onitsuka Tiger, making most sales at track meets out of Knights car. Otis Davis, 1960 Olympic gold medalist, claims Bowerman made the first pair of Nike shoes for him contradicting a claim they were made for Phil Knight.
Reebok, established in Bolton, UK in 1958 - In 1895 Joseph William Foster designed earliest spiked running shoes in the beginning. Opened a small factory called Olympic Works and became famous for “running pumps”. The company began distributing shoes across the Union Jack flag worn by British athletes. They were made amous by 100m champion Harold Abrahams in the 1924 Paris Olympics (Chariots of Fire). 1958 founded “Reebok” (after a type of African antelope)
World War II was between 1939-1942 resulting in slow times since people were focused on the war and not training
PEDs banned by the Olympic committee in 1967. Testing started and several athletes were stripped of their title due to steroid usage. Time slowed down slightly at this time, but then continued to get faster in the long run.
atl<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1996_Summer_Olympics")
tables<-atl%>%html_table(fill=TRUE)
atl_men<-tables[[2]]
atl_women<-tables[[3]]
atl_men_yr<- add_column(atl_men,"Year"=1996, "Host City"="Atlanta", "Host Country"="USA")%>%relocate("Year", "Host City","Host Country")
atl_women_yr<- add_column(atl_women,"Year"=1996,"Host City"="Atlanta","Host Country"="USA")%>%relocate("Year", "Host City","Host Country")
head(atl_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1996 Atlanta USA 100 … Dono… 9.84… Frank… 9.89 Ato B… 9.90
## 2 1996 Atlanta USA 200 … Mich… 19.3… Frank… 19.68… Ato B… 19.80
## 3 1996 Atlanta USA 400 … Mich… 43.4… Roger… 44.41 Davis… 44.53
## 4 1996 Atlanta USA 800 … Vebj… 1:42… Hezek… 1:42.… Fred … 1:42.…
## 5 1996 Atlanta USA 1500… Nour… 3:35… Fermí… 3:36.… Steph… 3:36.…
## 6 1996 Atlanta USA 5000… Vénu… 13:0… Paul … 13:08… Khali… 13:08…head(atl_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1996 Atlanta USA 100 … Gail… 10.94 Merle… 10.94 Gwen … 10.96
## 2 1996 Atlanta USA 200 … Mari… 22.12 Merle… 22.24 Mary … 22.38
## 3 1996 Atlanta USA 400 … Mari… 48.2… Cathy… 48.63 Falil… 49.10
## 4 1996 Atlanta USA 800 … Svet… 1:57… Ana F… 1:58.… Maria… 1:58.…
## 5 1996 Atlanta USA 1500… Svet… 4:00… Gabri… 4:01.… There… 4:03.…
## 6 1996 Atlanta USA 5000… Wang… 14:5… Pauli… 15:03… Rober… 15:07…syd<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_2000_Summer_Olympics")
tables<-syd%>%html_table(fill=TRUE)
syd_men<-tables[[3]]
syd_women<-tables[[4]]
syd_men_yr<- add_column(syd_men,"Year"=2000,"Host City"="Sydney", "Host Country"="Australia")%>%relocate("Year", "Host City","Host Country")
syd_women_yr<- add_column(syd_women,"Year"=2000,"Host City"="Atlanta", "Host Country"="USA")%>%relocate("Year", "Host City","Host Country")
head(syd_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2000 Atlanta USA 100 … Not … Not … Ekate… 11.12 Merle… 11.19
## 2 2000 Atlanta USA 100 … Not … Not … Tayna… 11.18 Merle… 11.19
## 3 2000 Atlanta USA 200 … Paul… 22.27 Susan… 22.28… Bever… 22.35
## 4 2000 Atlanta USA 400 … Cath… 49.11 Lorra… 49.58 Katha… 49.72
## 5 2000 Atlanta USA 800 … Mari… 1:56… Steph… 1:56.… Kelly… 1:56.…
## 6 2000 Atlanta USA 1500… Nour… 4:05… Viole… 4:05.… Gabri… 4:05.…head(syd_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2000 Sydney Australia 100 … Maur… 9.87 Ato B… 9.99 Obade… 10.04
## 2 2000 Sydney Australia 200 … Kons… 20.09 Darre… 20.14 Ato B… 20.20
## 3 2000 Sydney Australia 400 … Mich… 43.84 Alvin… 44.40 Greg … 44.70
## 4 2000 Sydney Australia 800 … Nils… 1:45… Wilso… 1:45.… Djabi… 1:45.…
## 5 2000 Sydney Australia 1500… Noah… 3:32… Hicha… 3:32:… Berna… 3:32.…
## 6 2000 Sydney Australia 5000… Mill… 13:3… Ali S… 13:36… Brahi… 13:36…ath<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_2004_Summer_Olympics")
tables<-ath%>%html_table(fill=TRUE)
ath_men<-tables[[3]]
ath_women<-tables[[4]]
ath_men_yr<- add_column(ath_men,"Year"=2004,"Host City"="Athens", "Host Country"="Greece")%>%relocate("Year", "Host City","Host Country")
ath_women_yr<- add_column(ath_women,"Year"=2004,"Host City"="Athens", "Host Country"="Greece")
head(ath_women_yr)## # A tibble: 6 × 10
## Event Gold Gold Silver Silver Bronze Bronze Year `Host City` `Host Country`
## <chr> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <chr> <chr>
## 1 100 … Yuli… 10.93 Laury… 10.96 Veron… 10.97 2004 Athens Greece
## 2 200 … Vero… 22.05 Allys… 22.18 Debbi… 22.30 2004 Athens Greece
## 3 400 … Toni… 49.41 Ana G… 49.56 Natal… 49.89 2004 Athens Greece
## 4 800 … Kell… 1:56… Hasna… 1:56.… Jolan… 1:56.… 2004 Athens Greece
## 5 1500… Kell… 3:57… Tatya… 3:58.… Maria… 3:58.… 2004 Athens Greece
## 6 5000… Mese… 14:4… Isabe… 14:48… Tirun… 14:51… 2004 Athens Greecehead(ath_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2004 Athens Greece 100 … Just… 9.85 Franc… 9.86 … Mauri… 9.87
## 2 2004 Athens Greece 200 … Shaw… 19.79 Berna… 20.01 Justi… 20.03
## 3 2004 Athens Greece 400 … Jere… 44.00 Otis … 44.16 Derri… 44.42
## 4 2004 Athens Greece 800 … Yuri… 1:44… Mbula… 1:44.… Wilso… 1:44.…
## 5 2004 Athens Greece 1500… Hich… 3:34… Berna… 3:34.… Rui S… 3:34.…
## 6 2004 Athens Greece 5000… Hich… 13:1… Kenen… 13:14… Eliud… 13:15…bej<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_2008_Summer_Olympics")
tables<-bej%>%html_table(fill=TRUE)
bej_men<-tables[[4]]
bej_women<-tables[[5]]
bej_men_yr<- add_column(bej_men,"Year"=2008,"Host City"="Beijing", "Host Country"="China")%>% relocate("Year", "Host City", "Host Country")
bej_women_yr<- add_column(bej_women,"Year"=2008,"Host City"="Beijing", "Host Country"="China")%>% relocate("Year", "Host City", "Host Country")
head(bej_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2008 Beijing China 100 … Shel… 10.78 Shero… 10.98 Not a… Not a…
## 2 2008 Beijing China 200 … Vero… 21.74 Allys… 21.93 Kerro… 22.00
## 3 2008 Beijing China 400 … Chri… 49.62 Sheri… 49.69 Sanya… 49.93
## 4 2008 Beijing China 800 … Pame… 1:54… Janet… 1:56.… Hasna… 1:56.…
## 5 2008 Beijing China 1500… Nanc… 4:00… Iryna… 4:01.… Natal… 4:01.…
## 6 2008 Beijing China 5000… Tiru… 15:4… Meser… 15:44… Sylvi… 15:44…head(bej_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2008 Beijing China 100 … Usai… 9.69… Richa… 9.89 Walte… 9.91
## 2 2008 Beijing China 200 … Usai… 19.3… Shawn… 19.96 Walte… 19.98
## 3 2008 Beijing China 400 … LaSh… 43.75 Jerem… 44.74 David… 44.80
## 4 2008 Beijing China 800 … Wilf… 1:44… Ismai… 1:44.… Alfre… 1:44.…
## 5 2008 Beijing China 1500… Asbe… 3:33… Nicho… 3:34.… Mehdi… 3:34.…
## 6 2008 Beijing China 5000… Kene… 12:5… Eliud… 13:02… Edwin… 13:06…lon_12<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_2012_Summer_Olympics")
tables<-lon_12%>%html_table(fill=TRUE)
lon_12_men<-tables[[7]]
lon_12_women<-tables[[8]]
lon_12_men_yr<- add_column(lon_12_men,"Year"=2012,"Host City"="London", "Host Country"="Great Britain")%>% relocate("Year", "Host City", "Host Country")
lon_12_women_yr<- add_column(lon_12_women,"Year"=2012,"Host City"="London", "Host Country"="Great Britain")%>% relocate("Year", "Host City", "Host Country")
head(lon_12_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2012 London Great Britain 100 … Shel… 10.75 Carme… 10.78 Veron… 10.81
## 2 2012 London Great Britain 200 … Ally… 21.88 Shell… 22.09 Carme… 22.14
## 3 2012 London Great Britain 400 … Sany… 49.55 Chris… 49.70 DeeDe… 49.72
## 4 2012 London Great Britain 800 … Cast… 1:57… Ekate… 1:57.… Pamel… 1:57.…
## 5 2012 London Great Britain 1500… Mary… 4:10… Tatya… 4:10.… Abeba… 4:11.…
## 6 2012 London Great Britain 5000… Mese… 15:0… Vivia… 15:04… Tirun… 15:05…head(lon_12_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2012 London Great Britain 100 … Usai… 9.63… Yohan… 9.75 Justi… 9.79
## 2 2012 London Great Britain 200 … Usai… 19.32 Yohan… 19.44 Warre… 19.84
## 3 2012 London Great Britain 400 … Kira… 43.94 Lugue… 44.46 Lalon… 44.52
## 4 2012 London Great Britain 800 … Davi… 1:40… Nijel… 1:41.… Timot… 1:42.…
## 5 2012 London Great Britain 1500… Taou… 3:34… Leone… 3:34.… Abdal… 3:35.…
## 6 2012 London Great Britain 5000… Mo F… 13:4… Dejen… 13:41… Thoma… 13:42…rio<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_2016_Summer_Olympics")
tables<-rio%>%html_table(fill=TRUE)
rio_men<-tables[[6]]
rio_women<-tables[[7]]
rio_men_yr<- add_column(rio_men,"Year"=2016,"Host City" ="Rio de Janeiro", "Host Country"="Brazil")%>% relocate("Year", "Host City", "Host Country")
rio_women_yr<- add_column(rio_women,"Year"=2016,"Host City" ="Rio de Janeiro", "Host Country"="Brazil")%>% relocate("Year", "Host City", "Host Country")
head(rio_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2016 Rio de Jan… Brazil 100 … Elai… 10.71 Tori … 10.83 Shell… 10.86
## 2 2016 Rio de Jan… Brazil 200 … Elai… 21.78 Dafne… 21.88 Tori … 22.15
## 3 2016 Rio de Jan… Brazil 400 … Shau… 49.44 Allys… 49.51 Sheri… 49.85
## 4 2016 Rio de Jan… Brazil 800 … Cast… 1:55… Franc… 1:56.… Marga… 1:56.…
## 5 2016 Rio de Jan… Brazil 1500… Fait… 4:08… Genze… 4:10.… Jenni… 4:10.…
## 6 2016 Rio de Jan… Brazil 5000… Vivi… 14:2… Helle… 14:29… Almaz… 14:33…head(rio_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2016 Rio de Jan… Brazil 100 … Usai… 9.81 Justi… 9.89 Andre… 9.91
## 2 2016 Rio de Jan… Brazil 200 … Usai… 19.78 Andre… 20.02 Chris… 20.12
## 3 2016 Rio de Jan… Brazil 400 … Wayd… 43.0… Kiran… 43.76 LaSha… 43.85
## 4 2016 Rio de Jan… Brazil 800 … Davi… 1:42… Taouf… 1:42.… Clayt… 1:42.…
## 5 2016 Rio de Jan… Brazil 1500… Matt… 3:50… Taouf… 3:50.… Nick … 3:50.…
## 6 2016 Rio de Jan… Brazil 5000… Mo F… 13:0… Paul … 13:03… Hagos… 13:04…bar<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1992_Summer_Olympics")
tables<-bar%>%html_table(fill=TRUE)
bar_men<-tables[[2]]
bar_women<-tables[[3]]
bar_men_yr<- add_column(bar_men,"Year"=1992,"Host City" ="Barcelona", "Host Country"="Spain")%>% relocate("Year", "Host City", "Host Country")
bar_women_yr<- add_column(bar_women,"Year"=1992,"Host City" ="Barcelona", "Host Country"="Spain")%>% relocate("Year", "Host City", "Host Country")
head(bar_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1992 Barcelona Spain 100 … Gail… 10.82 Julie… 10.83 Irina… 10.84
## 2 1992 Barcelona Spain 200 … Gwen… 21.81 Julie… 22.02 Merle… 22.09
## 3 1992 Barcelona Spain 400 … Mari… 48.83 Olga … 49.05 Ximen… 49.64
## 4 1992 Barcelona Spain 800 … Elle… 1:55… Liliy… 1:55:… Ana F… 1:56.…
## 5 1992 Barcelona Spain 1500… Hass… 3:55… Lyudm… 3:56.… Qu Yu… 3:57.…
## 6 1992 Barcelona Spain 3000… Yele… 8:46… Tetya… 8:46.… Angel… 8:47.…head(bar_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1992 Barcelona Spain 100 … Linf… 9.96 Frank… 10.02 Denni… 10.04
## 2 1992 Barcelona Spain 200 … Mich… 20.01 Frank… 20.13 Micha… 20.38
## 3 1992 Barcelona Spain 400 … Quin… 43.5… Steve… 44.21 Samso… 44.24
## 4 1992 Barcelona Spain 800 … Will… 1:43… Nixon… 1:43.… Johnn… 1:43.…
## 5 1992 Barcelona Spain 1500… Ferm… 3:40… Rachi… 3:40.… Moham… 3:40.…
## 6 1992 Barcelona Spain 5000… Diet… 13:1… Paul … 13:12… Fita … 13:13…seo<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1988_Summer_Olympics")
tables<-seo%>%html_table(fill=TRUE)
seo_men<-tables[[2]]
seo_women<-tables[[3]]
seo_men_yr<- add_column(seo_men,"Year"=1988,"Host City" ="Seoul", "Host Country"="South Korea")%>% relocate("Year", "Host City", "Host Country")
seo_women_yr<- add_column(seo_women,"Year"=1988,"Host City" ="Seoul", "Host Country"="South Korea")%>% relocate("Year", "Host City", "Host Country")
head(seo_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1988 Seoul South Korea 100 … Flor… 10.5… Evely… 10.83 Heike… 10.85
## 2 1988 Seoul South Korea 200 … Flor… 21.3… Grace… 21.72 Heike… 21.95
## 3 1988 Seoul South Korea 400 … Olga… 48.65 Petra… 49.45 Olga … 49.90
## 4 1988 Seoul South Korea 800 … Sigr… 1:56… Chris… 1:56.… Kim G… 1:56.…
## 5 1988 Seoul South Korea 1500… Paul… 3:53… Laimu… 4:00.… Tetya… 4:00.…
## 6 1988 Seoul South Korea 3000… Tety… 8:26… Paula… 8:27.… Yvonn… 8:29.…head(seo_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1988 Seoul South Korea 100 … Carl… 9.92… Linfo… 9.97(… Calvi… 9.99
## 2 1988 Seoul South Korea 200 … Joe … 19.75 Carl … 19.79 Robso… 20.04
## 3 1988 Seoul South Korea 400 … Stev… 43.87 Butch… 43.93 Danny… 44.09
## 4 1988 Seoul South Korea 800 … Paul… 1:43… Joaqu… 1:43.… Saïd … 1:44.…
## 5 1988 Seoul South Korea 1500… Pete… 3:35… Peter… 3:36.… Jens-… 3:36.…
## 6 1988 Seoul South Korea 5000… John… 13:1… Diete… 13:15… Hansj… 13:15…los<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1984_Summer_Olympics")
tables<-los%>%html_table(fill=TRUE)
los_men<-tables[[2]]
los_women<-tables[[3]]
los_men_yr<- add_column(los_men,"Year"=1984,"Host City" ="Los Angeles", "Host Country"="USA")%>% relocate("Year", "Host City", "Host Country")
los_women_yr<- add_column(los_women,"Year"=1984,"Host City" ="Los Angeles", "Host Country"="USA")%>% relocate("Year", "Host City", "Host Country")
head(los_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1984 Los Angeles USA 100 … Evel… 10.97 Alice… 11.13 Merle… 11.16
## 2 1984 Los Angeles USA 200 … Vale… 21.81 Flore… 22.04 Merle… 22.09
## 3 1984 Los Angeles USA 400 … Vale… 48.83 Chand… 49.05 Kathy… 49.42
## 4 1984 Los Angeles USA 800 … Doin… 1:57… Kim G… 1:58.… Fiţa … 1:58.…
## 5 1984 Los Angeles USA 1500… Gabr… 4:03… Doina… 4:03.… Maric… 4:04.…
## 6 1984 Los Angeles USA 3000… Mari… 8:35… Wendy… 8:39.… Lynn … 8:42.…head(los_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1984 Los Angeles USA 100 … Carl… 9.99 Sam G… 10.19 Ben J… 10.22
## 2 1984 Los Angeles USA 200 … Carl… 19.8… Kirk … 19.96 Thoma… 20.26
## 3 1984 Los Angeles USA 400 … Alon… 44.27 Gabri… 44.54 Anton… 44.71
## 4 1984 Los Angeles USA 800 … Joaq… 1:43… Sebas… 1:43.… Earl … 1:43.…
## 5 1984 Los Angeles USA 1500… Seba… 3:32… Steve… 3:33.… José … 3:34.…
## 6 1984 Los Angeles USA 5000… Saïd… 13:0… Marku… 13:07… Antón… 13:09…mos<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1980_Summer_Olympics")
tables<-mos%>%html_table(fill=TRUE)
mos_men<-tables[[3]]
mos_women<-tables[[4]]
mos_men_yr<- add_column(mos_men,"Year"=1980,"Host City" ="Moscow", "Host Country"="Russia")%>% relocate("Year", "Host City", "Host Country")
mos_women_yr<- add_column(mos_women,"Year"=1980,"Host City" ="Moscow", "Host Country"="Russia")%>% relocate("Year", "Host City", "Host Country")
head(mos_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1980 Moscow Russia 100 … Lyud… 11.06 Marli… 11.07 Ingri… 11.14
## 2 1980 Moscow Russia 200 … Bärb… 22.0… Natal… 22.19 Merle… 22.20
## 3 1980 Moscow Russia 400 … Mari… 48.8… Jarmi… 49.46 Chris… 49.66
## 4 1980 Moscow Russia 800 … Nadi… 1:53… Olga … 1:54.… Tatya… 1:55.…
## 5 1980 Moscow Russia 1500… Taty… 3:56… Chris… 3:57.… Nadiy… 3:59.…
## 6 1980 Moscow Russia 100 … Vera… 12.5… Johan… 12.63 Lucyn… 12.65head(mos_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1980 Moscow Russia 100 … Alla… 10.25 Silvi… 10.25 Petar… 10.39
## 2 1980 Moscow Russia 200 … Piet… 20.19 Allan… 20.21 Don Q… 20.29
## 3 1980 Moscow Russia 400 … Vikt… 44.60 Rick … 44.84 Frank… 44.87
## 4 1980 Moscow Russia 800 … Stev… 1:45… Sebas… 1:45.… Nikol… 1:45.…
## 5 1980 Moscow Russia 1500… Seba… 3:38… Jürge… 3:38.… Steve… 3:38.…
## 6 1980 Moscow Russia 5000… Miru… 13:2… Sulei… 13:21… Kaarl… 13:22…mon<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1976_Summer_Olympics")
tables<-mon%>%html_table(fill=TRUE)
mon_men<-tables[[1]]
mon_women<-tables[[2]]
mon_men_yr<- add_column(mon_men,"Year"=1976,"Host City" ="Montreal", "Host Country"="Canada")%>% relocate("Year", "Host City", "Host Country")
mon_women_yr<- add_column(mon_women,"Year"=1976,"Host City" ="Montreal", "Host Country"="Canada")%>% relocate("Year", "Host City", "Host Country")
head(mon_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1976 Montreal Canada 100 … Anne… 11.08 Renat… 11.13 Inge … 11.17
## 2 1976 Montreal Canada 200 … Bärb… 22.3… Anneg… 22.39 Renat… 22.47
## 3 1976 Montreal Canada 400 … Iren… 49.2… Chris… 50.51 Ellen… 50.55
## 4 1976 Montreal Canada 800 … Taty… 1:54… Nikol… 1:55.… Elfi … 1:55.…
## 5 1976 Montreal Canada 1500… Taty… 4:05… Gunhi… 4:06.… Ulrik… 4:06.…
## 6 1976 Montreal Canada 100 … Joha… 12.77 Tatia… 12.78 Natal… 12.80head(mon_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1976 Montreal Canada 100 … Hase… 10.06 Don Q… 10.08 Valer… 10.14
## 2 1976 Montreal Canada 200 … Don … 20.23 Milla… 20.29 Dwayn… 20.43
## 3 1976 Montreal Canada 400 … Albe… 44.26 Fred … 44.40 Herma… 44.95
## 4 1976 Montreal Canada 800 … Albe… 1:43… Ivo v… 1:43.… Rick … 1:44.…
## 5 1976 Montreal Canada 1500… John… 3:39… Ivo v… 3:39.… Paul-… 3:39.…
## 6 1976 Montreal Canada 5000… Lass… 13:2… Dick … 13:25… Klaus… 13:25…mun<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1972_Summer_Olympics")
tables<-mun%>%html_table(fill=TRUE)
mun_men<-tables[[1]]
mun_women<-tables[[2]]
mun_men_yr<- add_column(mun_men,"Year"=1972,"Host City" ="Munich", "Host Country"="Germany")%>% relocate("Year", "Host City", "Host Country")
mun_women_yr<- add_column(mun_women,"Year"=1972,"Host City" ="Munich", "Host Country"="Germany")%>% relocate("Year", "Host City", "Host Country")
head(mun_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1972 Munich Germany 100 … Rena… 11.0… Raele… 11.23 Silvi… 11.24
## 2 1972 Munich Germany 200 … Rena… 22.4… Raele… 22.45 Irena… 22.74
## 3 1972 Munich Germany 400 … Moni… 51.08 Rita … 51.21 Kathy… 51.64
## 4 1972 Munich Germany 800 … Hild… 1:58… Nijol… 1:58.… Gunhi… 1:59.…
## 5 1972 Munich Germany 1500… Ludm… 4:01… Gunhi… 4:02.… Paola… 4:02.…
## 6 1972 Munich Germany 100 … Anne… 12.5… Valer… 12.84 Karin… 12.90head(mun_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1972 Munich Germany 100 … Vale… 10.14 Rober… 10.24 Lenno… 10.33
## 2 1972 Munich Germany 200 … Vale… 20.00 Larry… 20.19 Pietr… 20.30
## 3 1972 Munich Germany 400 … Vinc… 44.66 Wayne… 44.80 Juliu… 44.92
## 4 1972 Munich Germany 800 … Dave… 1:45… Yevhe… 1:45.… Mike … 1:46.…
## 5 1972 Munich Germany 1500… Pekk… 3:36… Kipch… 3:36.… Rod D… 3:37.…
## 6 1972 Munich Germany 5000… Lass… 13:2… Moham… 13:27… Ian S… 13:27…mex<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1968_Summer_Olympics")
tables<-mex%>%html_table(fill=TRUE)
mex_men<-tables[[2]]
mex_women<-tables[[3]]
mex_men_yr<- add_column(mex_men,"Year"=1968,"Host City" ="Mexico City", "Host Country"="Mexico")%>% relocate("Year", "Host City", "Host Country")
mex_women_yr<- add_column(mex_women,"Year"=1968,"Host City" ="Mexico City", "Host Country"="Mexico")%>% relocate("Year", "Host City", "Host Country")
head(mex_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1968 Mexico City Mexico 100 … Wyom… 11.0… Barba… 11.15 Irena… 11.19
## 2 1968 Mexico City Mexico 200 … Iren… 22.5… Raele… 22.74 Jenny… 22.88
## 3 1968 Mexico City Mexico 400 … Cole… 52.03 Lilli… 52.12 Natal… 52.25
## 4 1968 Mexico City Mexico 800 … Made… 2:00… Ilona… 2:02.… Maria… 2:02.…
## 5 1968 Mexico City Mexico 80 m… Maur… 10.3… Pam K… 10.46 Chi C… 10.51
## 6 1968 Mexico City Mexico 4×10… Unit… 42.8… Cuba … 43.36 Sovie… 43.41head(mex_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1968 Mexico City Mexico 100 … Jim … 9.95… Lenno… 10.04 Charl… 10.07
## 2 1968 Mexico City Mexico 200 … Tomm… 19.8… Peter… 20.06… John … 20.10
## 3 1968 Mexico City Mexico 400 … Lee … 43.8… Larry… 43.97 Ron F… 44.41
## 4 1968 Mexico City Mexico 800 … Ralp… 1:44… Wilso… 1:44.… Tom F… 1:45.…
## 5 1968 Mexico City Mexico 1500… Kipc… 3:34… Jim R… 3:37.… Bodo … 3:39.…
## 6 1968 Mexico City Mexico 5000… Moha… 14:0… Kipch… 14:05… Nafta… 14:06…tok<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1964_Summer_Olympics")
tables<-tok%>%html_table(fill=TRUE)
tok_men<-tables[[1]]
tok_women<-tables[[2]]
tok_men_yr<- add_column(tok_men,"Year"=1964,"Host City" ="Tokyo", "Host Country"="Japan")%>% relocate("Year", "Host City", "Host Country")
tok_women_yr<- add_column(tok_women,"Year"=1964,"Host City" ="Tokyo", "Host Country"="Japan")%>% relocate("Year", "Host City", "Host Country")
head(tok_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1964 Tokyo Japan 100 … Wyom… 11.4 Edith… 11.6 Ewa K… 11.6
## 2 1964 Tokyo Japan 200 … Edit… 23.0… Irena… 23.1 Maril… 23.1
## 3 1964 Tokyo Japan 400 … Bett… 52.0… Ann P… 52.2 Judy … 53.4
## 4 1964 Tokyo Japan 800 … Ann … 2:01… Maryv… 2:01.9 Maris… 2:02.8
## 5 1964 Tokyo Japan 80 m… Kari… 10.5 Teres… 10.5 Pam K… 10.6
## 6 1964 Tokyo Japan 4×10… Pola… 43.6… Unite… 43.9 Great… 44.0head(tok_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1964 Tokyo Japan 100 … Bob … 10.0… Enriq… 10.2 Harry… 10.2
## 2 1964 Tokyo Japan 200 … Henr… 20.3… Paul … 20.5 Edwin… 20.6
## 3 1964 Tokyo Japan 400 … Mike… 45.1 Wende… 45.2 Andrz… 45.6
## 4 1964 Tokyo Japan 800 … Pete… 1:45… Bill … 1:45.6 Wilso… 1:45.9
## 5 1964 Tokyo Japan 1500… Pete… 3:38… Josef… 3:39.6 John … 3:39.6
## 6 1964 Tokyo Japan 5000… Bob … 13:4… Haral… 13:49… Bill … 13:49…rom<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1960_Summer_Olympics")
tables<-rom%>%html_table(fill=TRUE)
rom_men<-tables[[3]]
rom_women<-tables[[4]]
rom_men_yr<- add_column(rom_men,"Year"=1960,"Host City" ="Rome", "Host Country"="Italy")%>% relocate("Year", "Host City", "Host Country")
rom_women_yr<- add_column(rom_women,"Year"=1960,"Host City" ="Rome", "Host Country"="Italy")%>% relocate("Year", "Host City", "Host Country")
head(rom_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1960 Rome Italy 100 … Wilm… 11.0 Dorot… 11.3 Giuse… "11.3"
## 2 1960 Rome Italy 200 … Wilm… 24.0 Jutta… 24.4 Dorot… "24.7"
## 3 1960 Rome Italy 800 … Lyud… 2:04… Brend… 2:04.4 Ursul… "2:05…
## 4 1960 Rome Italy 80 m… Irin… 10.8 Carol… 10.9 Gisel… "11.0"
## 5 1960 Rome Italy 4×10… Unit… 44.5 Unite… 44.8 Polan… "45.0"
## 6 1960 Rome Italy High… Iola… 1.85… Jaros… 1.71 m none … ""head(rom_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1960 Rome Italy 100 … Armi… 10.2… Dave … 10.2(… Peter… 10.3
## 2 1960 Rome Italy 200 … Livi… 20.5… Leste… 20.6 Abdou… 20.7
## 3 1960 Rome Italy 400 … Otis… 44.9… Carl … 44.9(… Malco… 45.5
## 4 1960 Rome Italy 800 … Pete… 1:46… Roger… 1:46.5 Georg… 1:47.1
## 5 1960 Rome Italy 1500… Herb… 3:35… Miche… 3:38.4 Istvá… 3:39.2
## 6 1960 Rome Italy 5000… Murr… 13:4… Hans … 13:44… Kazim… 13:44…mel<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1956_Summer_Olympics")
tables<-mel%>%html_table(fill=TRUE)
mel_men<-tables[[2]]
mel_women<-tables[[3]]
mel_men_yr<- add_column(mel_men,"Year"=1956,"Host City" ="Melbourne", "Host Country"="Australia")%>% relocate("Year", "Host City", "Host Country")
mel_women_yr<- add_column(mel_women,"Year"=1956,"Host City" ="Melbourne", "Host Country"="Australia")%>% relocate("Year", "Host City", "Host Country")
head(mel_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1956 Melbourne Australia 100 … Bett… 11.5 Chris… 11.7 Marle… "11.7"
## 2 1956 Melbourne Australia 200 … Bett… 23.4… Chris… 23.7 Marle… "23.8"
## 3 1956 Melbourne Australia 80 m… Shir… 10.7… Gisel… 10.9 Norma… "11.0"
## 4 1956 Melbourne Australia 4 × … Aust… 44.5… Great… 44.7 Unite… "44.9"
## 5 1956 Melbourne Australia High… Mild… 1.76… Thelm… 1.67 m none … ""
## 6 1956 Melbourne Australia Long… Elżb… 6.35… Willy… 6.09 m Nadez… "6.07…head(mel_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1956 Melbourne Australia 100 … Bobb… 10.5 Thane… 10.5 Hecto… 10.6
## 2 1956 Melbourne Australia 200 … Bobb… 20.6… Andy … 20.7 Thane… 20.9
## 3 1956 Melbourne Australia 400 … Char… 46.7 Karl-… 46.8 Voitt… 47.0
## 4 1956 Melbourne Australia 400 … Char… 46.7 Karl-… 46.8 Ardal… 47.0
## 5 1956 Melbourne Australia 800 … Tom … 1:47… Derek… 1:47.8 Audun… 1:48.1
## 6 1956 Melbourne Australia 1500… Ron … 3:41… Klaus… 3:42.0 John … 3:42.0hel<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1952_Summer_Olympics")
tables<-hel%>%html_table(fill=TRUE)
hel_men<-tables[[2]]
hel_women<-tables[[3]]
hel_men_yr<- add_column(hel_men,"Year"=1952,"Host City" ="Helsinki", "Host Country"="Finland")%>% relocate("Year", "Host City", "Host Country")
hel_women_yr<- add_column(hel_women,"Year"=1952,"Host City" ="Helsinki", "Host Country"="Finland")%>% relocate("Year", "Host City", "Host Country")
head(hel_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1952 Helsinki Finland 100 … Marj… 11.5 Daphn… 11.8 Shirl… 11.9
## 2 1952 Helsinki Finland 200 … Marj… 23.7 Berth… 24.2 Nadez… 24.2
## 3 1952 Helsinki Finland 80 m… Shir… 10.9 Mariy… 11.1 Maria… 11.1
## 4 1952 Helsinki Finland 4 × … Unit… 45.9 Germa… 45.9 Great… 46.2
## 5 1952 Helsinki Finland High… Esth… 1.67… Sheil… 1.65 m Aleks… 1.63 m
## 6 1952 Helsinki Finland Long… Yvet… 6.24… Aleks… 6.14 m Shirl… 5.92 mhead(hel_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1952 Helsinki Finland 100 … Lind… 10.4 Herb … 10.4 McDon… 10.4
## 2 1952 Helsinki Finland 200 … Andy… 20.7 Thane… 20.8 James… 20.8
## 3 1952 Helsinki Finland 400 … Geor… 45.9 Herb … 45.9 Ollie… 46.8
## 4 1952 Helsinki Finland 800 … Mal … 1:49… Arthu… 1:49.4 Heinz… 1:49.7
## 5 1952 Helsinki Finland 1500… Josy… 3:45… Bob M… 3:45.2 Werne… 3:45.4
## 6 1952 Helsinki Finland 5000… Emil… 14:0… Alain… 14:07… Herbe… 14:08…lon_48<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1948_Summer_Olympics")
tables<-lon_48%>%html_table(fill=TRUE)
lon_48_men<-tables[[2]]
lon_48_women<-tables[[3]]
lon_48_men_yr<- add_column(lon_48_men,"Year"=1948,"Host City" ="London", "Host Country"="Great Britain")%>% relocate("Year", "Host City", "Host Country")
lon_48_women_yr<- add_column(lon_48_women,"Year"=1948,"Host City" ="London", "Host Country"="Great Britain")%>% relocate("Year", "Host City", "Host Country")
head(lon_48_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1948 London Great Britain 100 … Fann… 11.9 Dorot… 12.2 Shirl… 12.2
## 2 1948 London Great Britain 200 … Fann… 24.4 Audre… 25.1 Audre… 25.2
## 3 1948 London Great Britain 80 m… Fann… 11.2 Maure… 11.2 Shirl… 11.4
## 4 1948 London Great Britain 4 × … Neth… 47.5 Austr… 47.6 Canad… 47.8
## 5 1948 London Great Britain High… Alic… 1.68… Dorot… 1.68 m Miche… 1.61 m
## 6 1948 London Great Britain Long… Olga… 5.69… Noemí… 5.60 m Ann-B… 5.575…head(lon_48_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1948 London Great Britain 100 … Harr… 10.3 Barne… 10.4 Lloyd… 10.6
## 2 1948 London Great Britain 200 … Mel … 21.1 Barne… 21.1 Lloyd… 21.2
## 3 1948 London Great Britain 400 … Arth… 46.2 Herb … 46.4 Mal W… 46.8
## 4 1948 London Great Britain 800 … Mal … 1:49… Arthu… 1:49.5 Marce… 1:49.8
## 5 1948 London Great Britain 1500… Henr… 3:49… Lenna… 3:50.4 Wim S… 3:50.4
## 6 1948 London Great Britain 5000… Gast… 14:1… Emil … 14:17… Wim S… 14:26…ber<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1936_Summer_Olympics")
tables<-ber%>%html_table(fill=TRUE)
ber_men<-tables[[2]]
ber_women<-tables[[3]]
ber_men_yr<- add_column(ber_men,"Year"=1936,"Host City" ="Berlin", "Host Country"="Germany")%>% relocate("Year", "Host City", "Host Country")
ber_women_yr<- add_column(ber_women,"Year"=1936,"Host City" ="Berlin", "Host Country"="Germany")%>% relocate("Year", "Host City", "Host Country")
head(ber_women_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Games Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1936 Berlin Germany 100 … Hele… 11.5 Stani… 11.7 Käthe… 11.9
## 2 1936 Berlin Germany 80 m… Treb… 11.7 Anni … 11.7 Betty… 11.7
## 3 1936 Berlin Germany 4 × … Unit… 46.9 Great… 47.6 Canad… 47.8
## 4 1936 Berlin Germany High… Ibol… 1.60… Dorot… 1.60 m Elfri… 1.60 m
## 5 1936 Berlin Germany Disc… Gise… 47.6… Jadwi… 46.22… Paula… 39.80…
## 6 1936 Berlin Germany Jave… Till… 45.1… Luise… 43.29… Maria… 41.80…head(ber_men_yr)## # A tibble: 6 × 10
## Year `Host City` `Host Country` Event Gold Gold Silver Silver Bronze Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1936 Berlin Germany 100 … Jess… 10.3 Ralph… 10.4 Tinus… 10.5
## 2 1936 Berlin Germany 200 … Jess… 20.7 Mack … 21.1 Tinus… 21.3
## 3 1936 Berlin Germany 400 … Arch… 46.5 Godfr… 46.7 James… 46.8
## 4 1936 Berlin Germany 800 … John… 1:52… Mario… 1:53.3 Phil … 1:53.6
## 5 1936 Berlin Germany 1500… Jack… 3:47… Glenn… 3:48.4 Luigi… 3:49.2
## 6 1936 Berlin Germany 5000… Gunn… 14:2… Lauri… 14:25… Henry… 14:29…No times, medals and countries only
ams<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1928_Summer_Olympics")
tables<-ams%>%html_table(fill=TRUE)
ams_men<-tables[[3]]
ams_women<-tables[[4]]
ams_men_yr<- add_column(ams_men,"Year"=1928,"Host City" ="Amesterdam", "Host Country"="Netherlands")%>% relocate("Year", "Host City", "Host Country")
ams_women_yr<- add_column(ams_women,"Year"=1928,"Host City" ="Amesterdam", "Host Country"="Netherlands")%>% relocate("Year", "Host City", "Host Country")
head(ams_women_yr)## # A tibble: 5 × 7
## Year `Host City` `Host Country` Games Gold Silver Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1928 Amesterdam Netherlands 100 met… Betty Robi… Bobbie Rose… Ethel Smit…
## 2 1928 Amesterdam Netherlands 800 met… Lina Radke… Kinue Hitom… Inga Gentz…
## 3 1928 Amesterdam Netherlands 4 × 100… Canada (CA… United Stat… Germany (G…
## 4 1928 Amesterdam Netherlands High ju… Ethel Cath… Lien Gisolf… Mildred Wi…
## 5 1928 Amesterdam Netherlands Discus … Halina Kon… Lillian Cop… Ruth Svedb…head(ams_men_yr)## # A tibble: 6 × 7
## Year `Host City` `Host Country` Games Gold Silver Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1928 Amesterdam Netherlands 100 metresdetails Percy W… Jack Lo… Georg L…
## 2 1928 Amesterdam Netherlands 200 metresdetails Percy W… Walter … Helmut …
## 3 1928 Amesterdam Netherlands 400 metresdetails Ray Bar… James B… Joachim…
## 4 1928 Amesterdam Netherlands 800 metresdetails Douglas… Erik By… Hermann…
## 5 1928 Amesterdam Netherlands 1500 metresdetails Harri L… Jules L… Eino Pu…
## 6 1928 Amesterdam Netherlands 5000 metresdetails Ville R… Paavo N… Edvin W…Mens medals only, no women and no time.
par<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1924_Summer_Olympics")
tables<-par%>%html_table(fill=TRUE)
par_men<-tables[[2]]
par_men_yr<- add_column(par_men,"Year"=1924,"Host City" ="Paris", "Host Country"="France")%>% relocate("Year", "Host City", "Host Country")
head(par_men_yr)## # A tibble: 6 × 7
## Year `Host City` `Host Country` Event Gold Silver Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1924 Paris France 100 metresdetails Harold … Jackson… Arthur …
## 2 1924 Paris France 200 metresdetails Jackson… Charles… Eric Li…
## 3 1924 Paris France 400 metresdetails Eric Li… Horatio… Guy But…
## 4 1924 Paris France 800 metresdetails Douglas… Paul Ma… Schuyle…
## 5 1924 Paris France 1500 metresdetails Paavo N… Willy S… H. B. S…
## 6 1924 Paris France 5000 metresdetails Paavo N… Ville R… Edvin W…ant<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1920_Summer_Olympics")
tables<-ant%>%html_table(fill=TRUE)
ant_men<-tables[[2]]
ant_men_yr<- add_column(ant_men,"Year"=1920,"Host City" ="Antwerp", "Host Country"="Belgium")%>% relocate("Year", "Host City", "Host Country")
head(ant_men_yr)## # A tibble: 6 × 7
## Year `Host City` `Host Country` Event Gold Silver Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1920 Antwerp Belgium 100 metresdetails Charles… Morris … Harry E…
## 2 1920 Antwerp Belgium 200 metresdetails Allen W… Charles… Harry E…
## 3 1920 Antwerp Belgium 400 metresdetails Bevil R… Guy But… Nils En…
## 4 1920 Antwerp Belgium 800 metresdetails Albert … Earl Eb… Bevil R…
## 5 1920 Antwerp Belgium 1500 metresdetails Albert … Philip … Lawrenc…
## 6 1920 Antwerp Belgium 5000 metresdetails Joseph … Paavo N… Eric Ba…sto<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1912_Summer_Olympics")
tables<-sto%>%html_table(fill=TRUE)
sto_men<-tables[[2]]
sto_men_yr<- add_column(sto_men,"Year"=1912,"Host City" ="Stockholm", "Host Country"="Sweden")%>% relocate("Year", "Host City", "Host Country")
head(sto_men_yr)## # A tibble: 6 × 7
## Year `Host City` `Host Country` Event Gold Silver Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1912 Stockholm Sweden 100 metresdetails Ralph C… Alvah M… Donald …
## 2 1912 Stockholm Sweden 200 metresdetails Ralph C… Donald … Willie …
## 3 1912 Stockholm Sweden 400 metresdetails Charles… Hanns B… Edward …
## 4 1912 Stockholm Sweden 800 metresdetails Ted Mer… Mel She… Ira Dav…
## 5 1912 Stockholm Sweden 1500 metresdetails Arnold … Abel Ki… Norman …
## 6 1912 Stockholm Sweden 5000 metresdetails Hannes … Jean Bo… George …lon_08<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1908_Summer_Olympics")
tables<-lon_08%>%html_table(fill=TRUE)
lon_08_men<-tables[[2]]
lon_08_men_yr<- add_column(lon_08_men,"Year"=1908,"Host City" ="London", "Host Country"="Great Britain")%>% relocate("Year", "Host City", "Host Country")
head(lon_08_men_yr)## # A tibble: 6 × 7
## Year `Host City` `Host Country` Event Gold Silver Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1908 London Great Britain 100 metresdetails Reggie … James R… Robert …
## 2 1908 London Great Britain 200 metresdetails Robert … Robert … Nate Ca…
## 3 1908 London Great Britain 400 metresdetails Wyndham… none aw… none aw…
## 4 1908 London Great Britain 800 metresdetails Mel She… Emilio … Hanns B…
## 5 1908 London Great Britain 1500 metresdetails Mel She… Harold … Norman …
## 6 1908 London Great Britain 5 milesdetails Emil Vo… Edward … John Sv…stl<-read_html("https://en.wikipedia.org/wiki/Athletics_at_the_1904_Summer_Olympics")
tables<-stl%>%html_table(fill=TRUE)
stl_men<-tables[[3]]
stl_men_yr<- add_column(stl_men,"Year"=1904,"Host City" ="St Louis", "Host Country"="USA")%>% relocate("Year", "Host City", "Host Country")
head(stl_men_yr)## # A tibble: 6 × 7
## Year `Host City` `Host Country` Event Gold Silver Bronze
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1904 St Louis USA 60 metresdetails Archie … William… Fay Mou…
## 2 1904 St Louis USA 100 metresdetails Archie … Nate Ca… William…
## 3 1904 St Louis USA 200 metresdetails Archie … Nate Ca… William…
## 4 1904 St Louis USA 400 metresdetails Harry H… Frank W… Herman …
## 5 1904 St Louis USA 800 metresdetails James L… Howard … Emil Br…
## 6 1904 St Louis USA 1500 metresdetails James L… Frank V… Lacey H…oly_men<- bind_rows(rio_men_yr,lon_12_men_yr,bej_men_yr,ath_men_yr,syd_men_yr,atl_men_yr,bar_men_yr,seo_men_yr,los_men_yr,mos_men_yr,mon_men_yr,mun_men_yr,mex_men_yr,tok_men_yr,rom_men_yr,mel_men_yr,hel_men_yr,lon_48_men_yr,ber_men_yr,ams_men_yr,par_men_yr,ant_men_yr,sto_men_yr,lon_08_men_yr,stl_men_yr)
oly_men## # A tibble: 641 × 14
## Year `Host City` `Host Country` Event Gold...5 Gold...6 Silver...7
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2016 Rio de Janeiro Brazil "100 me… "Usain Bol… "9.81" "Justin Ga…
## 2 2016 Rio de Janeiro Brazil "200 me… "Usain Bol… "19.78" "Andre De …
## 3 2016 Rio de Janeiro Brazil "400 me… "Wayde van… "43.03 … "Kirani Ja…
## 4 2016 Rio de Janeiro Brazil "800 me… "David Rud… "1:42.1… "Taoufik M…
## 5 2016 Rio de Janeiro Brazil "1500 m… "Matthew C… "3:50.0… "Taoufik M…
## 6 2016 Rio de Janeiro Brazil "5000 m… "Mo Farah … "13:03.… "Paul Chel…
## 7 2016 Rio de Janeiro Brazil "10,000… "Mo Farah … "27:05.… "Paul Tanu…
## 8 2016 Rio de Janeiro Brazil "" "" "" ""
## 9 2016 Rio de Janeiro Brazil "110 me… "Omar McLe… "13.05" "Orlando O…
## 10 2016 Rio de Janeiro Brazil "400 me… "Kerron Cl… "47.73" "Boniface …
## # … with 631 more rows, and 7 more variables: Silver...8 <chr>,
## # Bronze...9 <chr>, Bronze...10 <chr>, Games <chr>, Gold <chr>, Silver <chr>,
## # Bronze <chr>oly_women<- bind_rows(rio_women_yr,lon_12_women_yr,bej_women_yr,ath_women_yr,syd_women_yr,atl_women_yr,bar_women_yr,seo_women_yr,los_women_yr,mos_women_yr,mon_women_yr,mun_women_yr,mex_women_yr,tok_women_yr,rom_women_yr,mel_women_yr,hel_women_yr,lon_48_women_yr,ber_women_yr,ams_women_yr)
head(oly_women)## # A tibble: 6 × 20
## Year `Host City` `Host Country` Event Gold...5 Gold...6 Silver...7 Silver...8
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2016 Rio de Jan… Brazil 100 … Elaine … 10.71 Tori Bowi… 10.83
## 2 2016 Rio de Jan… Brazil 200 … Elaine … 21.78 Dafne Sch… 21.88
## 3 2016 Rio de Jan… Brazil 400 … Shaunae… 49.44 Allyson F… 49.51
## 4 2016 Rio de Jan… Brazil 800 … Caster … 1:55.28… Francine … 1:56.49
## 5 2016 Rio de Jan… Brazil 1500… Faith K… 4:08.92 Genzebe D… 4:10.27
## 6 2016 Rio de Jan… Brazil 5000… Vivian … 14:26.1… Hellen On… 14:29.77
## # … with 12 more variables: Bronze...9 <chr>, Bronze...10 <chr>,
## # Gold...2 <chr>, Gold...3 <chr>, Silver...4 <chr>, Silver...5 <chr>,
## # Bronze...6 <chr>, Bronze...7 <chr>, Games <chr>, Gold <chr>, Silver <chr>,
## # Bronze <chr>oly_men <- oly_men %>% mutate(Event = coalesce(Event,Games))
oly_women <- oly_women %>% mutate(Event = coalesce(Event,Games))oly_men$Event <- gsub("details", "", as.character(oly_men$Event))
colnames(oly_men)[c(5,6,7,8,9,10)]<- c("Gold_Name", "Gold_Time","Silver_Name","Silver_Time","Bronze_Name","Bronze_Time")
oly_men$Gold_Name<- gsub("\u00A0", " ", oly_men$Gold_Name, fixed =TRUE)
oly_men<- oly_men%>%separate(Gold_Name, into=c("gold_first_name","gold_last_name", "gold_country"), sep=" ",extra="merge")%>%separate(Gold_Time,into=c("gTime","gwr_or"), sep="\\(")
oly_men$Silver_Name<- gsub("\u00A0", " ", oly_men$Silver_Name, fixed =TRUE)
oly_men<- oly_men%>%separate(Silver_Name, into=c("silver_first_name","silver_last_name", "silver_country"), sep=" ",extra="merge")%>%separate(Silver_Time,into=c("sTime","swr_or"), sep="\\(")
oly_men$Bronze_Name<- gsub("\u00A0", " ", oly_men$Bronze_Name, fixed =TRUE)
oly_men<- oly_men%>%separate(Bronze_Name, into=c("bronze_first_name","bronze_last_name", "bronze_country"), sep=" ",extra="merge")%>%separate(Bronze_Time,into=c("bTime","bwr_or"), sep="\\(")
oly_men$gTime <- gsub("[a-zA-Z ]", "", oly_men$gTime)
oly_men$sTime <- gsub("[a-zA-Z ]", "", oly_men$sTime)
oly_men$bTime <- gsub("[a-zA-Z ]", "", oly_men$bTime)
oly_men## # A tibble: 641 × 23
## Year `Host City` `Host Country` Event gold_first_name gold_last_name
## <dbl> <chr> <chr> <chr> <chr> <chr>
## 1 2016 Rio de Janeiro Brazil "100 metr… "Usain" Bolt
## 2 2016 Rio de Janeiro Brazil "200 metr… "Usain" Bolt
## 3 2016 Rio de Janeiro Brazil "400 metr… "Wayde" van
## 4 2016 Rio de Janeiro Brazil "800 metr… "David" Rudisha
## 5 2016 Rio de Janeiro Brazil "1500 met… "Matthew" Centrowitz
## 6 2016 Rio de Janeiro Brazil "5000 met… "Mo" Farah
## 7 2016 Rio de Janeiro Brazil "10,000 m… "Mo" Farah
## 8 2016 Rio de Janeiro Brazil "" "" <NA>
## 9 2016 Rio de Janeiro Brazil "110 metr… "Omar" McLeod
## 10 2016 Rio de Janeiro Brazil "400 metr… "Kerron" Clement
## # … with 631 more rows, and 17 more variables: gold_country <chr>, gTime <chr>,
## # gwr_or <chr>, silver_first_name <chr>, silver_last_name <chr>,
## # silver_country <chr>, sTime <chr>, swr_or <chr>, bronze_first_name <chr>,
## # bronze_last_name <chr>, bronze_country <chr>, bTime <chr>, bwr_or <chr>,
## # Games <chr>, Gold <chr>, Silver <chr>, Bronze <chr>oly_women$Event <- gsub("details", "", as.character(oly_women$Event))
colnames(oly_women)[c(5,6,7,8,9,10)]<- c("Gold_Name", "Gold_Time","Silver_Name","Silver_Time","Bronze_Name","Bronze_Time")
oly_women$Gold_Name<- gsub("\u00A0", " ", oly_women$Gold_Name, fixed =TRUE)
oly_women<- oly_women%>%separate(Gold_Name, into=c("gold_first_name","gold_last_name", "gold_country"), sep=" ",extra="merge")%>%separate(Gold_Time,into=c("gTime","gwr_or"), sep="\\(")
oly_women$Silver_Name<- gsub("\u00A0", " ", oly_women$Silver_Name, fixed =TRUE)
oly_women<- oly_women%>%separate(Silver_Name, into=c("silver_first_name","silver_last_name", "silver_country"), sep=" ",extra="merge")%>%separate(Silver_Time,into=c("sTime","swr_or"), sep="\\(")
oly_women$Bronze_Name<- gsub("\u00A0", " ", oly_women$Bronze_Name, fixed =TRUE)
oly_women<- oly_women%>%separate(Bronze_Name, into=c("bronze_first_name","bronze_last_name", "bronze_country"), sep=" ",extra="merge")%>%separate(Bronze_Time,into=c("bTime","bwr_or"), sep="\\(")
oly_women$gTime <- gsub("[a-zA-Z ]", "", oly_women$gTime)
oly_women$sTime <- gsub("[a-zA-Z ]", "", oly_women$sTime)
oly_women$bTime <- gsub("[a-zA-Z ]", "", oly_women$bTime)
oly_women## # A tibble: 320 × 29
## Year `Host City` `Host Country` Event gold_first_name gold_last_name
## <dbl> <chr> <chr> <chr> <chr> <chr>
## 1 2016 Rio de Janeiro Brazil "100 metr… "Elaine" Thompson
## 2 2016 Rio de Janeiro Brazil "200 metr… "Elaine" Thompson
## 3 2016 Rio de Janeiro Brazil "400 metr… "Shaunae" Miller
## 4 2016 Rio de Janeiro Brazil "800 metr… "Caster" Semenya
## 5 2016 Rio de Janeiro Brazil "1500 met… "Faith" Kipyegon
## 6 2016 Rio de Janeiro Brazil "5000 met… "Vivian" Cheruiyot
## 7 2016 Rio de Janeiro Brazil "10,000 m… "Almaz" Ayana
## 8 2016 Rio de Janeiro Brazil "" "" <NA>
## 9 2016 Rio de Janeiro Brazil "100 metr… "Brianna" Rollins
## 10 2016 Rio de Janeiro Brazil "400 metr… "Dalilah" Muhammad
## # … with 310 more rows, and 23 more variables: gold_country <chr>, gTime <chr>,
## # gwr_or <chr>, silver_first_name <chr>, silver_last_name <chr>,
## # silver_country <chr>, sTime <chr>, swr_or <chr>, bronze_first_name <chr>,
## # bronze_last_name <chr>, bronze_country <chr>, bTime <chr>, bwr_or <chr>,
## # Gold...2 <chr>, Gold...3 <chr>, Silver...4 <chr>, Silver...5 <chr>,
## # Bronze...6 <chr>, Bronze...7 <chr>, Games <chr>, Gold <chr>, Silver <chr>,
## # Bronze <chr>oly_men_gold <- oly_men %>%
select(Year, gTime, gwr_or, gold_country, Event, gold_first_name, gold_last_name, `Host City`, `Host Country`)%>%
filter(!is.na(gTime))%>%
mutate(Medal = "Gold")
names(oly_men_gold)[4] <- 'Athlete Country'
names(oly_men_gold)[2] <- 'Time'
names(oly_men_gold)[3] <- 'Record'
Athlete <- paste(oly_men_gold$gold_first_name, oly_men_gold$gold_last_name)
oly_men_gold <- oly_men_gold %>%
mutate(Name = Athlete)%>%
select(Year, Medal, Time, Record, Event, Name, `Athlete Country`, `Host City`, `Host Country`)
oly_men_gold## # A tibble: 474 × 9
## Year Medal Time Record Event Name `Athlete Country` `Host City`
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2016 Gold "9.81" <NA> "100 me… "Usain … Jamaica Rio de Jan…
## 2 2016 Gold "19.78" <NA> "200 me… "Usain … Jamaica Rio de Jan…
## 3 2016 Gold "43.03" <NA> "400 me… "Wayde … Niekerk South Af… Rio de Jan…
## 4 2016 Gold "1:42.15" <NA> "800 me… "David … Kenya Rio de Jan…
## 5 2016 Gold "3:50.00" <NA> "1500 m… "Matthe… Jr. United States Rio de Jan…
## 6 2016 Gold "13:03.30" <NA> "5000 m… "Mo Far… Great Britain Rio de Jan…
## 7 2016 Gold "27:05.17" <NA> "10,000… "Mo Far… Great Britain Rio de Jan…
## 8 2016 Gold "" <NA> "" " NA" <NA> Rio de Jan…
## 9 2016 Gold "13.05" <NA> "110 me… "Omar M… Jamaica Rio de Jan…
## 10 2016 Gold "47.73" <NA> "400 me… "Kerron… United States Rio de Jan…
## # … with 464 more rows, and 1 more variable: Host Country <chr>oly_men_silver <- oly_men %>%
select(Year, sTime, swr_or, silver_country, Event, silver_first_name, silver_last_name, `Host City`, `Host Country`)%>%
filter(!is.na(sTime))%>%
mutate(Medal = "Silver")
names(oly_men_silver)[4] <- 'Athlete Country'
names(oly_men_silver)[2] <- 'Time'
names(oly_men_silver)[3] <- 'Record'
Athlete <- paste(oly_men_silver$silver_first_name, oly_men_silver$silver_last_name)
oly_men_silver <- oly_men_silver %>%
mutate(Name = Athlete)%>%
select(Year, Medal, Time, Record, Event, Name, `Athlete Country`, `Host City`, `Host Country`)
oly_men_silver## # A tibble: 474 × 9
## Year Medal Time Record Event Name `Athlete Countr… `Host City`
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2016 Silver "9.89" <NA> "100 me… "Justin… United States Rio de Jan…
## 2 2016 Silver "20.02" <NA> "200 me… "Andre … Grasse Canada Rio de Jan…
## 3 2016 Silver "43.76" <NA> "400 me… "Kirani… Grenada Rio de Jan…
## 4 2016 Silver "1:42.61" <NA> "800 me… "Taoufi… Algeria Rio de Jan…
## 5 2016 Silver "3:50.11" <NA> "1500 m… "Taoufi… Algeria Rio de Jan…
## 6 2016 Silver "13:03.90" <NA> "5000 m… "Paul C… United States Rio de Jan…
## 7 2016 Silver "27:05.64" <NA> "10,000… "Paul T… Kenya Rio de Jan…
## 8 2016 Silver "" <NA> "" " NA" <NA> Rio de Jan…
## 9 2016 Silver "13.17" <NA> "110 me… "Orland… Spain Rio de Jan…
## 10 2016 Silver "47.78" <NA> "400 me… "Bonifa… Kenya Rio de Jan…
## # … with 464 more rows, and 1 more variable: Host Country <chr>oly_men_bronze <- oly_men %>%
select(Year, bTime, bwr_or, bronze_country, Event, bronze_first_name, bronze_last_name, `Host City`, `Host Country`)%>%
filter(!is.na(bTime))%>%
mutate(Medal = "Bronze")
names(oly_men_bronze)[4] <- 'Athlete Country'
names(oly_men_bronze)[2] <- 'Time'
names(oly_men_bronze)[3] <- 'Record'
Athlete <- paste(oly_men_bronze$bronze_first_name, oly_men_bronze$bronze_last_name)
oly_men_bronze <- oly_men_bronze %>%
mutate(Name = Athlete)%>%
select(Year, Medal, Time, Record, Event, Name, `Athlete Country`, `Host City`, `Host Country`)
oly_men_bronze## # A tibble: 474 × 9
## Year Medal Time Record Event Name `Athlete Countr… `Host City`
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2016 Bronze "9.91" <NA> "100 me… "Andre … Grasse Canada Rio de Jan…
## 2 2016 Bronze "20.12" <NA> "200 me… "Christ… France Rio de Jan…
## 3 2016 Bronze "43.85" <NA> "400 me… "LaShaw… United States Rio de Jan…
## 4 2016 Bronze "1:42.93" <NA> "800 me… "Clayto… United States Rio de Jan…
## 5 2016 Bronze "3:50.24" <NA> "1500 m… "Nick W… New Zealand Rio de Jan…
## 6 2016 Bronze "13:04.35" <NA> "5000 m… "Hagos … Ethiopia Rio de Jan…
## 7 2016 Bronze "27:06.26" <NA> "10,000… "Tamira… Ethiopia Rio de Jan…
## 8 2016 Bronze "" <NA> "" " NA" <NA> Rio de Jan…
## 9 2016 Bronze "13.24" <NA> "110 me… "Dimitr… France Rio de Jan…
## 10 2016 Bronze "47.92" <NA> "400 me… "Yasman… Turkey Rio de Jan…
## # … with 464 more rows, and 1 more variable: Host Country <chr>levels(as.factor(oly_men_bronze$Time))## [1] "" "--" "1:19:25" "1:19:27" "1:19:37" "1:19:42"
## [7] "1:20:02" "1:20:14" "1:20:23" "1:23:26" "1:23.11" "1:25:29.4"
## [13] "1:25:58.2" "1:27:16.6" "1:31:59.4" "1:32:12.0" "1:34:03" "1:34.56.4"
## [19] "1:42.53" "1:42.79" "1:42.93" "1:43.83" "1:43.97" "1:44.06"
## [25] "1:44.12" "1:44.65" "1:44.82" "1:45.16" "1:45.46" "1:45.9"
## [31] "1:45.94" "1:46.01" "1:47.1" "1:48.1" "1:49.7" "1:49.8"
## [37] "1:53.6" "1.95" "1.98 " "10.04" "10.07" "10.14"
## [43] "10.2" "10.22" "10.3" "10.33" "10.39" "10.4"
## [49] "10.5" "10.6" "13:04.35" "13:06.22" "13:08.37" "13:09.20"
## [55] "13:13.03" "13:15.10" "13:15.73" "13:22.00" "13:25.38" "13:27.61"
## [61] "13:36.47" "13:42.36" "13:44.8" "13:49.8" "13:54.4" "13.12"
## [67] "13.17" "13.18" "13.20" "13.22" "13.24" "13.26"
## [73] "13.38" "13.40" "13.44" "13.46" "13.48" "13.78"
## [79] "14:06.41" "14:08.6" "14:26.8" "14:29.0" "14.0" "14.1"
## [85] "14.4" "15.02" "15.50" "15.52" "15.66" "16.02"
## [91] "16.42" "16.43" "16.57" "16.87 " "16.90 " "17.05"
## [97] "17.06 " "17.22" "17.22 " "17.36 " "17.42 " "17.44"
## [103] "17.46 " "17.48" "17.48 " "17.58" "17.59 " "17.65"
## [109] "19.01" "19.39" "19.80" "19.84" "19.98" "2:09:37"
## [115] "2:09:58" "2:10:00" "2:10:05" "2:10:59" "2:11:10" "2:11:12.6"
## [121] "2:11:35" "2:12:11" "2:12:44" "2:14:00" "2:15:08.4" "2:16:22.8"
## [127] "2:17:18.2" "2:23:45" "2:26:07" "2:27:47" "2:31:42.0" "2:35:33.6"
## [133] "2:58.49" "2:58.51" "2:59.23" "2:59.32" "2:59.40" "2:59.42"
## [139] "2:59.73" "2.00" "2.08" "2.14" "2.16" "2.20"
## [145] "2.21" "2.21 " "2.31 " "2.32 " "2.33" "2.34 "
## [151] "2.35" "2.36 " "20.03" "20.04" "20.09" "20.10"
## [157] "20.12" "20.20" "20.26" "20.29" "20.30" "20.38"
## [163] "20.43" "20.6" "20.7" "20.75" "20.8" "20.84 "
## [169] "20.9" "20.94 " "20.97 " "21.00 " "21.04 " "21.06 "
## [175] "21.14" "21.2" "21.20 " "21.23" "21.3" "21.36"
## [181] "21.99 " "27:04.11" "27:06.26" "27:19.75" "27:22.57" "27:24.67"
## [187] "27:25.16" "27:31.43" "27:40.96" "27:44.64" "27:54.92" "28:00.07"
## [193] "28:06.46" "28:25.8" "28:38.2" "28:53.6" "29:34.2" "29:48.2"
## [199] "3:00.56" "3:00.57" "3:00.65" "3:00.90" "3:01.7" "3:01.98"
## [205] "3:04.0" "3:04.54" "3:06.6" "3:07.2" "3:11.8" "3:16.0"
## [211] "3:32.44" "3:34.21" "3:34.30" "3:34.68" "3:35.13" "3:36.21"
## [217] "3:36.72" "3:37:54" "3:37.46" "3:38.99" "3:39:45" "3:39.08"
## [223] "3:39.2" "3:39.33" "3:39.6" "3:40:14" "3:40.69" "3:41:24"
## [229] "3:42.0" "3:43:34" "3:44:19" "3:44:36" "3:45.4" "3:49.2"
## [235] "3:50.24" "3:50.4" "3:53:45" "3:53.45" "3:56.32" "30:20.2"
## [241] "30:53.6" "37.64" "38.00" "38.04" "38.16" "38.23"
## [247] "38.24" "38.40" "38.41" "38.43" "38.53" "38.70"
## [253] "38.78" "38.79" "39.3" "4:00:46.0" "4:14:17.4" "4:27:55.4"
## [259] "4:31:27.2" "4:31:55" "4:32:42.2" "4:35:02.0" "4:48:31" "4.20"
## [265] "4.25" "4.40 " "4.50" "4.55" "40.2" "40.3"
## [271] "40.5" "41.2" "41.5" "43.85" "44.09" "44.24"
## [277] "44.41" "44.42" "44.52" "44.53" "44.70" "44.71"
## [283] "44.80" "44.87" "44.92" "44.95" "45:41.0" "45.5"
## [289] "45.6" "46:00.2" "46.8" "47.0" "47.56" "47.81"
## [295] "47.82" "47.92" "47.96" "48.06" "48.10" "48.19"
## [301] "48.26" "48.52" "49.03" "49.11" "49.23" "49.45"
## [307] "49.7" "5.00" "5.35" "5.40" "5.50 " "5.60 "
## [313] "5.70 " "5.75 " "5.80 " "5.85" "5.85 " "5.90 "
## [319] "5.91" "5.92" "50.1" "50.77" "51.6" "52.2"
## [325] "52.8" "53.28 " "53.73" "54.40" "54.83" "57.16"
## [331] "57.74" "59.49" "6,788" "62.56" "62.92" "63.40"
## [337] "64.12 " "65.46 " "65.64" "65.70 " "65.80" "66.32 "
## [343] "66.66 " "67.03" "67.05" "67.38 " "67.79 " "68.03"
## [349] "68.09" "68.19 " "69.78" "6950" "7.30 " "7.48"
## [355] "7.54" "7.74" "7.99" "70.72" "71.89 " "7275"
## [361] "74.04" "7465" "75.48 " "76.68 " "77.73" "78.57"
## [367] "78.71" "78.96 " "7809" "79.17 " "79.50" "79.51 "
## [373] "7984" "8:06.64" "8:07.96" "8:10.36" "8:10.74" "8:11.01"
## [379] "8:11.28" "8:11.52" "8:13.57" "8:14.06" "8:19.73" "8:22.15"
## [385] "8:24.66" "8:33.8" "8:42.2" "8:44.0" "8:51.8" "8:51.86"
## [391] "8.02 " "8.03" "8.04" "8.12" "8.16" "8.18 "
## [397] "8.20 " "8.24" "8.24 " "8.27 " "8.29" "8.31 "
## [403] "8.32 " "8.34 " "80.02" "80.57" "8064" "81.16 "
## [409] "81.38 " "81.51 " "8135" "83.26 " "83.34" "83.38 "
## [415] "83.72 " "8309" "8328" "8369" "84.42" "84.84 "
## [421] "8412" "85.38" "8523" "8527" "8595" "86.16 "
## [427] "86.72 " "86.98" "8664" "8666" "87.06" "87.16 "
## [433] "8725" "88.67 " "9:07.2" "9:11.8" "9.79" "9.87"
## [439] "9.90" "9.91" "9.99"oly_men_clean <- bind_rows(oly_men_gold, oly_men_silver, oly_men_bronze)
oly_men_clean## # A tibble: 1,422 × 9
## Year Medal Time Record Event Name `Athlete Country` `Host City`
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2016 Gold "9.81" <NA> "100 me… "Usain … Jamaica Rio de Jan…
## 2 2016 Gold "19.78" <NA> "200 me… "Usain … Jamaica Rio de Jan…
## 3 2016 Gold "43.03" <NA> "400 me… "Wayde … Niekerk South Af… Rio de Jan…
## 4 2016 Gold "1:42.15" <NA> "800 me… "David … Kenya Rio de Jan…
## 5 2016 Gold "3:50.00" <NA> "1500 m… "Matthe… Jr. United States Rio de Jan…
## 6 2016 Gold "13:03.30" <NA> "5000 m… "Mo Far… Great Britain Rio de Jan…
## 7 2016 Gold "27:05.17" <NA> "10,000… "Mo Far… Great Britain Rio de Jan…
## 8 2016 Gold "" <NA> "" " NA" <NA> Rio de Jan…
## 9 2016 Gold "13.05" <NA> "110 me… "Omar M… Jamaica Rio de Jan…
## 10 2016 Gold "47.73" <NA> "400 me… "Kerron… United States Rio de Jan…
## # … with 1,412 more rows, and 1 more variable: Host Country <chr>trimws(oly_men_clean$Time, which = "both")## [1] "9.81" "19.78" "43.03" "1:42.15" "3:50.00" "13:03.30"
## [7] "27:05.17" "" "13.05" "47.73" "8:03.28" ""
## [13] "37.27" "2:57.30" "" "2:08:44" "1:19:14" "3:40:58"
## [19] "" "2.38" "6.03," "8.38" "17.86" "22.52"
## [25] "68.37" "78.68" "90.30" "" "8893" "9.63"
## [31] "19.32" "43.94" "1:40.91" "3:34.08" "13:41.66" "27:30.42"
## [37] "" "12.92" "47.63" "8:18.56" "" "36.84"
## [43] "2:56.72" "" "2:08:01" "1:18:46" "3:36:53" ""
## [49] "2.33" "5.97" "8.31" "17.81" "21.89" "68.27"
## [55] "80.59" "84.58" "" "8869" "9.69" "19.30"
## [61] "43.75" "1:44.65" "3:33.11" "12:57.82" "27:01.17" "12.93"
## [67] "47.25" "8:10.34" "38.06" "2:55.39" "2:06:32" "1:19:01"
## [73] "3:37:09" "2.36 " "5.96 " "8.34 " "17.67 " "21.51 "
## [79] "68.82 " "82.02 " "90.57 " "8791" "9.85" "19.79"
## [85] "44.00" "1:44.45" "3:34.18" "13:14.39" "27:05.10" ""
## [91] "12.91" "47.63" "8:05.81" "" "38.07" "2:55.91"
## [97] "" "2:10:55" "1:19:40" "3:38:46" "" "2.36 "
## [103] "5.95 " "8.59 " "17.79 " "21.16 " "69.89 " "82.91 "
## [109] "86.50 " "" "8893" "9.87" "20.09" "43.84"
## [115] "1:45.08" "3:32.07" "13:35.49" "27:18.20" "13.00" "47.50"
## [121] "8:21.43" "37.61" "2:58.68" "2:10:11" "1:18:59" "3:42:22"
## [127] "2.35 " "5.90 " "8.55 " "17.71 " "21.29 " "69.30 "
## [133] "80.02 " "90.17 " "8642" "9.84" "19.32" "43.49"
## [139] "1:42.58" "3:35.78" "13:07.96" "27:07.34" "12.95" "47.54"
## [145] "8:07.12" "37.69" "2:55.99" "2:12:36" "1:20:07" "3:43:30"
## [151] "2.39" "5.92" "8.50" "18.09" "21.62" "69.40"
## [157] "81.24" "88.16" "8824" "9.96" "20.01" "43.50"
## [163] "1:43.66" "3:40.12" "13:12.52" "27:46.70" "13.12" "46.78"
## [169] "8:08.84" "37.40" "2:55.74" "2:13:23" "1:21.25" "3:50.13"
## [175] "2.34 " "2.34 " "2.34 " "5.80 " "8.67 " "18.17 "
## [181] "21.70 " "65.12 " "82.54 " "89.66 " "8611" "9.92"
## [187] "19.75" "43.87" "1:43.45" "3:35.96" "13:11.70" "27:21.44"
## [193] "12.98" "47.19" "8:05.51" "38.19" "2:56.16" "2:10:32"
## [199] "1:19:57" "3:38:29" "2.38 " "2.38 " "5.90 " "8.72 "
## [205] "17.61 " "22.47 " "68.82 " "84.80 " "84.28 " "8488"
## [211] "9.99" "19.80" "44.27" "1:43.00" "3:32.53" "13:05.59"
## [217] "27:47.54" "13.20" "47.75" "8:11.80" "37.83" "2:57.91"
## [223] "2:09:21" "1:23:13" "3:47:26" "2.35 " "5.75 " "5.75 "
## [229] "8.54 " "17.26 " "21.26 " "66.60 " "78.08 " "86.76 "
## [235] "8798" "10.25" "20.19" "44.60" "1:45.40" "3:38.40"
## [241] "13:20.91" "27:42.69" "13.39" "48.70" "8:09.70" "38.26"
## [247] "3:01.08" "2:11:03" "1:23:35.5" "3:49.24" "2.36 " "5.78 "
## [253] "8.54 " "17.35 " "21.35 " "66.64 " "81.80 " "91.20 "
## [259] "8495" "10.06" "20.23" "44.26" "1:43.50" "3:39.17"
## [265] "13:24.76" "27:40.38" "13.30" "47.64" "8:08.02" "38.33"
## [271] "2:58.65" "2:09:55.0" "1:24:40.6" "2.25 " "5.50 " "8.35 "
## [277] "17.29 " "21.05 " "67.50 " "77.52 " "94.58" "8618"
## [283] "10.14" "20.00" "44.66" "1:45.86" "3:36.33" "13:26.42"
## [289] "27:38.35" "13.24" "47.82" "8:23.64" "38.19" "2:59.83"
## [295] "2:12:19.8" "1:26:42.4" "3:56:11.6" "2.23" "5.50" "8.24"
## [301] "17.35" "21.18" "64.40" "75.50" "90.48" "8454"
## [307] "9.95" "19.83" "43.86" "1:44.40" "3:34.91" "14:05.01"
## [313] "29:27.40" "13.33" "48.12" "8:51.02" "38.24" "2:56.16"
## [319] "2:20:27" "1:33:58" "4:20:14" "2.24" "5.40" "8.90"
## [325] "17.39" "20.54" "64.78" "73.36" "90.10" "8193"
## [331] "10.0" "20.3" "45.1" "1:45.1" "3:38.1" "13:48.8"
## [337] "28:24.4" "13.67" "49.6" "8:30.8" "39.0" "3:00.7"
## [343] "2:12:11.2" "1:29:34.0" "4:11:12.4" "2.18" "5.10" "8.07"
## [349] "16.85" "20.33" "61.00" "69.74" "82.66" "7887"
## [355] "10.2" "20.5" "44.9" "1:46.3" "3:35.6" "13:43.4"
## [361] "28:32.2" "13.8" "49.3" "8:34.2" "39.5" "3:02.2"
## [367] "2:15:16.2" "1:34:07.2" "4:25:30.0" "2.16" "4.70" "8.12"
## [373] "16.81" "19.68" "59.18" "67.10" "84.64" "8392"
## [379] "10.5" "20.6" "46.7" "46.7" "1:47.7" "3:41.2"
## [385] "13:39.6" "28:45.6" "13.5" "50.1" "8:41.2" "39.5"
## [391] "3:04.8" "2:25:00" "1:31:27.4" "4:30:42.8" "2.12" "4.56"
## [397] "7.83" "16.35" "18.57" "56.36" "63.19" "85.71"
## [403] "7937" "10.4" "20.7" "45.9" "1:49.2" "3:45.2"
## [409] "14:06.6" "29:17.0" "13.7" "50.8" "8:45.4" "40.1"
## [415] "3:03.9" "2:23:03" "45:02.8" "4:28:07.8" "2.04 " "4.55 "
## [421] "7.57 " "16.22" "17.41 " "55.03 " "60.34" "73.78 "
## [427] "7,887" "10.3" "21.1" "46.2" "1:49.2" "3:49.8"
## [433] "14:17.6" "29:59.6" "13.9" "51.1" "9:04.6" "40.6"
## [439] "3:10.4" "2:34:51.6" "45:13.2" "4:41:52" "1.98" "4.30"
## [445] "7.825" "15.40" "17.12" "52.78" "56.07" "69.77"
## [451] "7139" "10.3" "20.7" "46.5" "1:52.9" "3:47.8"
## [457] "14:22.2" "30:15.4" "14.2" "52.4" "9:03.8" "39.8"
## [463] "3:09.0" "2:29:19.2" "4:30:41.4" "2.03" "4.35" "8.06"
## [469] "16.00" "16.20" "50.48" "56.49" "71.84" "7900"
## [475] "9.89" "20.02" "43.76" "1:42.61" "3:50.11" "13:03.90"
## [481] "27:05.64" "" "13.17" "47.78" "8:04.28" ""
## [487] "37.60" "2:58.16" "" "2:09:54" "1:19:26" "3:41:16"
## [493] "" "2.36" "5.98" "8.37" "17.76" "21.78"
## [499] "67.55" "77.79" "88.24" "" "8834" "9.75"
## [505] "19.44" "44.46" "1:41.73" "3:34.79" "13:41.98" "27:30.90"
## [511] "" "13.04" "47.91" "8:19.08" "" "38.12"
## [517] "2:57.05" "" "2:08:27" "1:18:57" "3:37:16" ""
## [523] "2.29" "5.91" "8.16" "17.62" "21.86" "68.18"
## [529] "79.36" "84.12" "" "8671" "9.89" "19.96"
## [535] "44.74" "1:44.70" "3:34.16" "13:02.80" "27:02.77" "13.17"
## [541] "47.98" "8:10.49" "38.15" "2:58.03" "2:07:16" "1:19:15"
## [547] "3:39:27" "2.34 " "5.85 " "8.24 " "17.62 " "21.09 "
## [553] "67.82 " "81.61 " "86.64 " "8551" "9.86" "20.01"
## [559] "44.16" "1:44.61" "3:34.30" "13:14.59" "27:09.39" ""
## [565] "13.18" "48.11" "8:06.11" "" "38.08" "3:00.60"
## [571] "" "2:11:29" "1:19:45" "3:42:50" "" "2.34 "
## [577] "5.90 " "8.47 " "17.55 " "21.07 " "67.04 " ""
## [583] "84.95 " "" "8820" "9.99" "20.14" "44.40"
## [589] "1:45.14" "3:32:32" "13:36.20" "27:18.29" "13.16" "47.53"
## [595] "8:21.77" "37.90" "2:58.78" "2:10:31" "1:19:03" "3:43:40"
## [601] "2.32 " "5.90 " "8.49 " "17.47 " "21.21 " "68.50 "
## [607] "79.64 " "89.85 " "8606" "9.89" "19.68" "44.41"
## [613] "1:42.74" "3:36.40" "13:08.16" "27:08.17" "13.09" "47.78"
## [619] "8:08.33" "38.05" "2:56.60" "2:12:39" "1:20:16" "3:43:36"
## [625] "2.37" "5.92" "8.29" "17.88" "20.79" "66.60"
## [631] "81.12" "87.44" "8706" "10.02" "20.13" "44.21"
## [637] "1:43.70" "3:40.62" "13:12.71" "27:47.72" "13.24" "47.66"
## [643] "8:09.55" "37.98" "2:59.51" "2:13:45" "1:22.25" "3:52.09"
## [649] "2.34 " "2.34 " "2.34 " "5.80 " "8.64 " "17.60 "
## [655] "20.96 " "64.94 " "81.96 " "86.60 " "8412" "9.97"
## [661] "19.79" "43.93" "1:43.90" "3:36.15" "13:15.52" "27:23.55"
## [667] "13.28" "47.23" "8:06.79" "38.28" "3:00.30" "2:10:47"
## [673] "1:20:00" "3:38:56" "2.36 " "2.36 " "5.85 " "8.49 "
## [679] "17.52 " "22.39 " "67.48 " "83.76 " "84.12 " "8399"
## [685] "10.19" "19.96" "44.54" "1:43.64" "3:33.40" "13:07.54"
## [691] "28:06.22" "13.23" "48.13" "8:13.31" "38.62" "2:59.13"
## [697] "2:09:56" "1:23:20" "3:53:19" "2.33 " "5.65 " "5.65 "
## [703] "8.24 " "17.18 " "21.09 " "66.30 " "77.98 " "85.74 "
## [709] "8673" "10.25" "20.21" "44.84" "1:45.85" "3:38.80"
## [715] "13:21.60" "27:44.28" "13.40" "48.86" "8:12.48" "38.33"
## [721] "3:01.26" "2:11:20" "1:24:45.4" "3:51.25" "2.31 " "5.65 "
## [727] "8.21 " "17.24 " "21.08 " "66.38 " "80.64 " "89.64 "
## [733] "8331" "10.08" "20.29" "44.40" "1:43.86" "3:39.27"
## [739] "13:25.16" "27:45:17" "13.33" "48.69" "8:09.11" "38.66"
## [745] "3:01.43" "2:10:45.8" "1:25:13.6" "2.23 " "5.50 " "8.11 "
## [751] "17.18 " "21.03 " "66.22 " "76.08 " "87.92" "8411"
## [757] "10.24" "20.19" "44.80" "1:45.89" "3:36.81" "13:27.33"
## [763] "27:39.58" "13.34" "48.51" "8:24.62" "38.50" "3:00.46"
## [769] "2:14:31.8" "1:26:55.2" "3:58:24.0" "2.21" "5.40" "8.18"
## [775] "17.31" "21.17" "63.50" "74.96" "90.46" "8035"
## [781] "10.04" "20.06" "43.97" "1:44.57" "3:37.89" "14:05.16"
## [787] "29:27.75" "13.42" "49.02" "8:51.56" "38.40" "2:59.64"
## [793] "2:23:31" "1:34:00" "4:30:17" "2.22" "5.40" "8.19"
## [799] "17.27" "20.12" "63.08" "73.28" "88.58" "8111"
## [805] "10.2" "20.5" "45.2" "1:45.6" "3:39.6" "13:49.6"
## [811] "28:24.8" "13.74" "50.1" "8:32.4" "39.3" "3:01.6"
## [817] "2:16:19.2" "1:31:13.2" "4:11:31.2" "2.18" "5.05" "8.03"
## [823] "16.58" "20.20" "60.52" "69.09" "82.32" "7842"
## [829] "10.2" "20.6" "44.9" "1:46.5" "3:38.4" "13:44.6"
## [835] "28:37.0" "13.8" "49.6" "8:36.4" "40.1" "3:02.7"
## [841] "2:15:41.6" "1:34:16.4" "4:25:47.0" "2.16" "4.60" "8.11"
## [847] "16.63" "19.11" "58.02" "65.79" "79.36" "8334"
## [853] "10.5" "20.7" "46.8" "46.8" "1:47.8" "3:42.0"
## [859] "13:50.6" "28:52.4" "13.5" "50.8" "8:43.6" "39.8"
## [865] "3:06.2" "2:26:32" "1:32:03.0" "4:32:57.0" "2.10" "4.53"
## [871] "7.68" "16.26" "18.18" "54.81" "63.03" "79.98"
## [877] "7587" "10.4" "20.8" "45.9" "1:49.4" "3:45.2"
## [883] "14:07.4" "29:32.8" "13.7" "51.3" "8:51.6" "40.3"
## [889] "3:04.0" "2:25:35" "45:41.0" "4:30:17.8" "2.01 " "4.50 "
## [895] "7.53 " "15.98" "17.39 " "53.78 " "58.86" "72.46 "
## [901] "6,975" "10.4" "21.1" "46.4" "1:49.5" "3:50.4"
## [907] "14:17.8" "30:47.4" "14.1" "51.8" "9:08.2" "41.3"
## [913] "3:14.8" "2:35:07.6" "45:43.8" "4:48:17" "1.95" "4.20"
## [919] "7.55" "15.36" "16.68" "51.78" "54.27" "67.56"
## [925] "6974" "10.4" "21.1" "46.7" "1:53.3" "3:48.4"
## [931] "14:25.8" "30:15.6" "14.4" "52.7" "9:06.8" "41.1"
## [937] "3:11.0" "2:31:23.2" "4:32:09.2" "2.00" "4.25" "7.87"
## [943] "15.66" "16.12" "49.36" "55.04" "70.77" "7601"
## [949] "9.91" "20.12" "43.85" "1:42.93" "3:50.24" "13:04.35"
## [955] "27:06.26" "" "13.24" "47.92" "8:11.52" ""
## [961] "37.64" "2:58.49" "" "2:10:05" "1:19:37" "3:41:24"
## [967] "" "2.33" "5.85" "8.29" "17.58" "21.36"
## [973] "67.05" "77.73" "85.38" "" "8666" "9.79"
## [979] "19.84" "44.52" "1:42.53" "3:35.13" "13:42.36" "27:31.43"
## [985] "" "13.12" "48.10" "8:19.73" "" "38.16"
## [991] "2:59.40" "" "2:09:37" "1:19:25" "3:37:54" ""
## [997] "" "5.91" "8.12" "17.48" "21.23" "68.03"
## [1003] "78.71" "83.34" "" "8523" "9.91" "19.98"
## [1009] "44.80" "1:44.82" "3:34.21" "13:06.22" "27:04.11" "13.18"
## [1015] "48.06" "8:11.01" "38.24" "2:58.51" "2:10:00" "1:19:42"
## [1021] "3:40:14" "2.34 " "5.70 " "8.20 " "17.59 " "21.04 "
## [1027] "67.79 " "81.51 " "86.16 " "8527" "9.87" "20.03"
## [1033] "44.42" "1:44.65" "3:34.68" "13:15.10" "27:22.57" ""
## [1039] "13.20" "48.26" "8:06.64" "" "38.23" "3:00.90"
## [1045] "" "2:12:11" "1:20:02" "3:43:34" "" "2.34 "
## [1051] "5.85 " "8.32 " "17.48 " "20.84 " "66.66 " "79.51 "
## [1057] "84.84 " "" "8725" "10.04" "20.20" "44.70"
## [1063] "1:45.16" "3:32.44" "13:36.47" "27:19.75" "13.22" "47.81"
## [1069] "8:22.15" "38.04" "2:59.23" "2:11:10" "1:19:27" "3:44:36"
## [1075] "2.32 " "5.90 " "8.31 " "17.46 " "21.20 " "68.19 "
## [1081] "79.17 " "88.67 " "8595" "9.90" "19.80" "44.53"
## [1087] "1:42.79" "3:36.72" "13:08.37" "27:24.67" "13.17" "47.96"
## [1093] "8:11.28" "38.41" "2:59.42" "2:12:44" "1:20:23" "3:44:19"
## [1099] "2.35" "5.92" "8.24" "17.44" "20.75" "65.80"
## [1105] "80.02" "86.98" "8664" "10.04" "20.38" "44.24"
## [1111] "1:43.97" "3:40.69" "13:13.03" "28:00.07" "13.26" "47.82"
## [1117] "8:10.74" "38.00" "2:59.73" "2:14:00" "1:23.11" "3:53.45"
## [1123] "2.34 " "2.34 " "2.34 " "5.75 " "8.34 " "17.36 "
## [1129] "20.94 " "64.12 " "81.38 " "83.38 " "8309" "9.99"
## [1135] "20.04" "44.09" "1:44.06" "3:36.21" "13:15.73" "27:25.16"
## [1141] "13.38" "47.56" "8:07.96" "38.40" "3:00.56" "2:10:59"
## [1147] "1:20:14" "3:39:45" "2.36 " "2.36 " "5.80 " "8.27 "
## [1153] "17.42 " "21.99 " "67.38 " "81.16 " "83.26 " "8328"
## [1159] "10.22" "20.26" "44.71" "1:43.83" "3:34.30" "13:09.20"
## [1165] "28:06.46" "13.40" "48.19" "8:14.06" "38.70" "2:59.32"
## [1171] "2:09:58" "1:23:26" "3:53:45" "2.31 " "5.60 " "5.60 "
## [1177] "8.24 " "16.87 " "20.97 " "65.46 " "76.68 " "83.72 "
## [1183] "8412" "10.39" "20.29" "44.87" "1:45.94" "3:38.99"
## [1189] "13:22.00" "27:44.64" "13.44" "49.11" "8:13.57" "38.53"
## [1195] "3:04.54" "2:11:35" "1:25:58.2" "3:56.32" "2.31 " "--"
## [1201] "8.18 " "17.22 " "21.06 " "66.32 " "78.96 " "86.72 "
## [1207] "8135" "10.14" "20.43" "44.95" "1:44.12" "3:39.33"
## [1213] "13:25.38" "27:54.92" "13.38" "49.45" "8:10.36" "38.78"
## [1219] "3:01.98" "2:11:12.6" "1:25:29.4" "2.21 " "5.50 " "8.02 "
## [1225] "16.90 " "21.00 " "65.70 " "75.48 " "87.16 " "8369"
## [1231] "10.33" "20.30" "44.92" "1:46.01" "3:37.46" "13:27.61"
## [1237] "27:40.96" "13.48" "48.52" "8:24.66" "38.79" "3:00.65"
## [1243] "2:15:08.4" "1:27:16.6" "4:00:46.0" "2.21" "5.35" "8.03"
## [1249] "17.05" "21.14" "63.40" "74.04" "84.42" "7984"
## [1255] "10.07" "20.10" "44.41" "1:45.46" "3:39.08" "14:06.41"
## [1261] "29:34.2" "13.46" "49.03" "8:51.86" "38.43" "3:00.57"
## [1267] "2:23:45" "1:34:03" "4:31:55" "2.20" "5.40" "8.16"
## [1273] "17.22" "20.09" "62.92" "69.78" "87.06" "8064"
## [1279] "10.2" "20.6" "45.6" "1:45.9" "3:39.6" "13:49.8"
## [1285] "28:25.8" "13.78" "50.1" "8:33.8" "39.3" "3:01.7"
## [1291] "2:16:22.8" "1:31:59.4" "4:14:17.4" "2.16" "5.00" "7.99"
## [1297] "16.57" "19.39" "59.49" "68.09" "80.57" "7809"
## [1303] "10.3" "20.7" "45.5" "1:47.1" "3:39.2" "13:44.8"
## [1309] "28:38.2" "14.0" "49.7" "8:42.2" "40.2" "3:04.0"
## [1315] "2:17:18.2" "1:34.56.4" "4:27:55.4" "2.14" "4.55" "8.04"
## [1321] "16.43" "19.01" "57.16" "65.64" "78.57" "7809"
## [1327] "10.6" "20.9" "47.0" "47.0" "1:48.1" "3:42.0"
## [1333] "13:54.4" "28:53.6" "14.1" "51.6" "8:44.0" "40.3"
## [1339] "3:07.2" "2:27:47" "1:32:12.0" "4:35:02.0" "2.08" "4.50"
## [1345] "7.48" "16.02" "17.65" "54.40" "62.56" "79.50"
## [1351] "7465" "10.4" "20.8" "46.8" "1:49.7" "3:45.4"
## [1357] "14:08.6" "29:48.2" "14.1" "52.2" "8:51.8" "40.5"
## [1363] "3:06.6" "2:26:07" "45:41.0" "4:31:27.2" "1.98 " "4.40 "
## [1369] "7.30 " "15.52" "17.06 " "53.28 " "57.74" "71.89 "
## [1375] "6,788" "10.6" "21.2" "46.8" "1:49.8" "3:50.4"
## [1381] "14:26.8" "30:53.6" "14.1" "52.2" "9:11.8" "41.5"
## [1387] "3:16.0" "2:35:33.6" "46:00.2" "4:48:31" "1.95" "4.20"
## [1393] "7.54" "15.02" "16.42" "50.77" "53.73" "67.03"
## [1399] "6950" "10.5" "21.3" "46.8" "1:53.6" "3:49.2"
## [1405] "14:29.0" "30:20.2" "14.4" "52.8" "9:07.2" "41.2"
## [1411] "3:11.8" "2:31:42.0" "4:32:42.2" "2.00" "4.25" "7.74"
## [1417] "15.50" "15.66" "49.23" "54.83" "70.72" "7275"oly_men_clean <- oly_men_clean %>%
transform(Time = as.numeric(Time))
str(oly_men_clean)## 'data.frame': 1422 obs. of 9 variables:
## $ Year : num 2016 2016 2016 2016 2016 ...
## $ Medal : chr "Gold" "Gold" "Gold" "Gold" ...
## $ Time : num 9.81 19.78 43.03 NA NA ...
## $ Record : chr NA NA NA NA ...
## $ Event : chr "100 metres" "200 metres" "400 metres" "800 metres" ...
## $ Name : chr "Usain Bolt" "Usain Bolt" "Wayde van" "David Rudisha" ...
## $ Athlete.Country: chr "Jamaica" "Jamaica" "Niekerk South Africa" "Kenya" ...
## $ Host.City : chr "Rio de Janeiro" "Rio de Janeiro" "Rio de Janeiro" "Rio de Janeiro" ...
## $ Host.Country : chr "Brazil" "Brazil" "Brazil" "Brazil" ...oly_men_clean## Year Medal Time Record Event
## 1 2016 Gold 9.810 <NA> 100 metres
## 2 2016 Gold 19.780 <NA> 200 metres
## 3 2016 Gold 43.030 <NA> 400 metres
## 4 2016 Gold NA <NA> 800 metres
## 5 2016 Gold NA <NA> 1500 metres
## 6 2016 Gold NA <NA> 5000 metres
## 7 2016 Gold NA <NA> 10,000 metres
## 8 2016 Gold NA <NA>
## 9 2016 Gold 13.050 <NA> 110 metres hurdles
## 10 2016 Gold 47.730 <NA> 400 metres hurdles
## 11 2016 Gold NA <NA> 3000 metres steeplechase
## 12 2016 Gold NA <NA>
## 13 2016 Gold 37.270 <NA> 4 × 100 metres relay
## 14 2016 Gold NA <NA> 4 × 400 metres relay
## 15 2016 Gold NA <NA>
## 16 2016 Gold NA <NA> Marathon
## 17 2016 Gold NA <NA> 20 kilometres walk
## 18 2016 Gold NA <NA> 50 kilometres walk
## 19 2016 Gold NA <NA>
## 20 2016 Gold 2.380 <NA> High jump
## 21 2016 Gold NA <NA> Pole vault
## 22 2016 Gold 8.380 <NA> Long jump
## 23 2016 Gold 17.860 <NA> Triple jump
## 24 2016 Gold 22.520 <NA> Shot put
## 25 2016 Gold 68.370 <NA> Discus throw
## 26 2016 Gold 78.680 <NA> Hammer throw
## 27 2016 Gold 90.300 <NA> Javelin throw
## 28 2016 Gold NA <NA>
## 29 2016 Gold 8893.000 <NA> Decathlon
## 30 2012 Gold 9.630 OR) 100 metres
## 31 2012 Gold 19.320 <NA> 200 metres
## 32 2012 Gold 43.940 <NA> 400 metres
## 33 2012 Gold NA WR) 800 metres
## 34 2012 Gold NA <NA> 1500 metres
## 35 2012 Gold NA <NA> 5000 metres
## 36 2012 Gold NA <NA> 10,000 metres
## 37 2012 Gold NA <NA>
## 38 2012 Gold 12.920 <NA> 110 metres hurdles
## 39 2012 Gold 47.630 <NA> 400 metres hurdles
## 40 2012 Gold NA <NA> 3000 metres steeplechase
## 41 2012 Gold NA <NA>
## 42 2012 Gold 36.840 WR) 4×100 metres relay [a]
## 43 2012 Gold NA <NA> 4×400 metres relay
## 44 2012 Gold NA <NA>
## 45 2012 Gold NA <NA> Marathon
## 46 2012 Gold NA OR) 20 kilometres walk
## 47 2012 Gold NA OR) 50 kilometres walk [b]
## 48 2012 Gold NA <NA>
## 49 2012 Gold 2.330 <NA> High jump [c]
## 50 2012 Gold 5.970 OR) Pole vault
## 51 2012 Gold 8.310 <NA> Long jump
## 52 2012 Gold 17.810 <NA> Triple jump
## 53 2012 Gold 21.890 <NA> Shot put
## 54 2012 Gold 68.270 <NA> Discus throw
## 55 2012 Gold 80.590 <NA> Hammer throw
## 56 2012 Gold 84.580 <NA> Javelin throw [d]
## 57 2012 Gold NA <NA>
## 58 2012 Gold 8869.000 <NA> Decathlon
## 59 2008 Gold 9.690 WR) 100 metres
## 60 2008 Gold 19.300 WR) 200 metres
## 61 2008 Gold 43.750 <NA> 400 metres
## 62 2008 Gold NA <NA> 800 metres
## 63 2008 Gold NA <NA> 1500 metres [a]
## 64 2008 Gold NA OR) 5000 metres
## 65 2008 Gold NA OR) 10,000 metres
## 66 2008 Gold 12.930 <NA> 110 metres hurdles
## 67 2008 Gold 47.250 <NA> 400 metres hurdles
## 68 2008 Gold NA <NA> 3000 metres steeplechase
## 69 2008 Gold 38.060 <NA> 4×100 metres relay [b]
## 70 2008 Gold NA OR) 4×400 metres relay [c]
## 71 2008 Gold NA OR) Marathon
## 72 2008 Gold NA <NA> 20 kilometres walk
## 73 2008 Gold NA OR) 50 kilometres walk
## 74 2008 Gold NA <NA> High jump
## 75 2008 Gold NA OR) Pole vault [d]
## 76 2008 Gold NA <NA> Long jump
## 77 2008 Gold NA <NA> Triple jump
## 78 2008 Gold NA <NA> Shot put [e]
## 79 2008 Gold NA <NA> Discus throw
## 80 2008 Gold NA <NA> Hammer throw [f]
## 81 2008 Gold NA OR) Javelin throw
## 82 2008 Gold 8791.000 <NA> Decathlon
## 83 2004 Gold 9.850 <NA> 100 metres
## 84 2004 Gold 19.790 <NA> 200 metres
## 85 2004 Gold 44.000 <NA> 400 metres
## 86 2004 Gold NA <NA> 800 metres
## 87 2004 Gold NA <NA> 1500 metres
## 88 2004 Gold NA <NA> 5000 metres
## 89 2004 Gold NA OR) 10,000 metres
## 90 2004 Gold NA <NA>
## 91 2004 Gold 12.910 WR) 110 metres hurdles
## 92 2004 Gold 47.630 <NA> 400 metres hurdles
## 93 2004 Gold NA <NA> 3000 metres steeplechase
## 94 2004 Gold NA <NA>
## 95 2004 Gold 38.070 <NA> 4×100 metres relay
## 96 2004 Gold NA <NA> 4×400 metres relay
## 97 2004 Gold NA <NA>
## 98 2004 Gold NA <NA> Marathon
## 99 2004 Gold NA <NA> 20 kilometres walk
## 100 2004 Gold NA <NA> 50 kilometres walk
## 101 2004 Gold NA <NA>
## 102 2004 Gold NA <NA> High jump
## 103 2004 Gold NA OR) Pole vault
## 104 2004 Gold NA <NA> Long jump
## 105 2004 Gold NA <NA> Triple jump
## 106 2004 Gold NA <NA> Shot put [a]
## 107 2004 Gold NA OR) Discus throw
## 108 2004 Gold NA <NA> Hammer throw [b]
## 109 2004 Gold NA <NA> Javelin throw
## 110 2004 Gold NA <NA>
## 111 2004 Gold 8893.000 OR) Decathlon
## 112 2000 Gold 9.870 <NA> 100 metres
## 113 2000 Gold 20.090 <NA> 200 metres
## 114 2000 Gold 43.840 <NA> 400 metres
## 115 2000 Gold NA <NA> 800 metres
## 116 2000 Gold NA OR) 1500 metres
## 117 2000 Gold NA <NA> 5000 metres
## 118 2000 Gold NA <NA> 10,000 metres
## 119 2000 Gold 13.000 <NA> 110 metres hurdles
## 120 2000 Gold 47.500 <NA> 400 metres hurdles
## 121 2000 Gold NA <NA> 3000 metressteeplechase
## 122 2000 Gold 37.610 <NA> 4×100 metres relay
## 123 2000 Gold NA <NA> 4×400 metres relay
## 124 2000 Gold NA <NA> Marathon
## 125 2000 Gold NA OR) 20 kilometres walk
## 126 2000 Gold NA <NA> 50 kilometres walk
## 127 2000 Gold NA <NA> High jump
## 128 2000 Gold NA <NA> Pole vault
## 129 2000 Gold NA <NA> Long jump
## 130 2000 Gold NA <NA> Triple jump
## 131 2000 Gold NA <NA> Shot put
## 132 2000 Gold NA <NA> Discus throw
## 133 2000 Gold NA <NA> Hammer throw
## 134 2000 Gold NA OR) Javelin throw
## 135 2000 Gold 8642.000 <NA> Decathlon
## 136 1996 Gold 9.840 WR) 100 metres
## 137 1996 Gold 19.320 WR) 200 metres
## 138 1996 Gold 43.490 OR) 400 metres
## 139 1996 Gold NA OR) 800 metres
## 140 1996 Gold NA <NA> 1500 metres
## 141 1996 Gold NA <NA> 5000 metres
## 142 1996 Gold NA OR) 10,000 metres
## 143 1996 Gold 12.950 OR) 110 metres hurdles
## 144 1996 Gold 47.540 <NA> 400 metres hurdles
## 145 1996 Gold NA <NA> 3000 metres steeplechase
## 146 1996 Gold 37.690 <NA> 4×100 metres relay
## 147 1996 Gold NA <NA> 4×400 metres relay
## 148 1996 Gold NA <NA> Marathon
## 149 1996 Gold NA <NA> 20 kilometres walk
## 150 1996 Gold NA <NA> 50 kilometres walk
## 151 1996 Gold 2.390 OR) High jump
## 152 1996 Gold 5.920 <NA> Pole vault
## 153 1996 Gold 8.500 <NA> Long jump
## 154 1996 Gold 18.090 OR) Triple jump
## 155 1996 Gold 21.620 <NA> Shot put
## 156 1996 Gold 69.400 <NA> Discus throw
## 157 1996 Gold 81.240 <NA> Hammer throw
## 158 1996 Gold 88.160 <NA> Javelin throw
## 159 1996 Gold 8824.000 <NA> Decathlon
## 160 1992 Gold 9.960 <NA> 100 metres
## 161 1992 Gold 20.010 <NA> 200 metres
## 162 1992 Gold 43.500 OR) 400 metres
## 163 1992 Gold NA <NA> 800 metres
## 164 1992 Gold NA <NA> 1500 metres
## 165 1992 Gold NA <NA> 5000 metres
## 166 1992 Gold NA <NA> 10,000 metres
## 167 1992 Gold 13.120 <NA> 110 metres hurdles
## 168 1992 Gold 46.780 WR) 400 metres hurdles
## 169 1992 Gold NA <NA> 3000 metres steeplechase
## 170 1992 Gold 37.400 WR) 4×100 metres relay
## 171 1992 Gold NA WR) 4×400 metres relay
## 172 1992 Gold NA <NA> Marathon
## 173 1992 Gold NA <NA> 20 kilometres walk
## 174 1992 Gold NA <NA> 50 kilometres walk
## 175 1992 Gold NA <NA> High jump
## 176 1992 Gold NA <NA> High jump
## 177 1992 Gold NA <NA> High jump
## 178 1992 Gold NA <NA> Pole vault
## 179 1992 Gold NA <NA> Long jump
## 180 1992 Gold NA <NA> Triple jump
## 181 1992 Gold NA <NA> Shot put
## 182 1992 Gold NA <NA> Discus throw
## 183 1992 Gold NA <NA> Hammer throw
## 184 1992 Gold NA <NA> Javelin throw
## 185 1992 Gold 8611.000 <NA> Decathlon
## 186 1988 Gold 9.920 WR) 100 metres
## 187 1988 Gold 19.750 <NA> 200 metres
## 188 1988 Gold 43.870 <NA> 400 metres
## 189 1988 Gold NA <NA> 800 metres
## 190 1988 Gold NA <NA> 1500 metres
## 191 1988 Gold NA <NA> 5000 metres
## 192 1988 Gold NA OR) 10,000 metres
## 193 1988 Gold 12.980 <NA> 110 metres hurdles
## 194 1988 Gold 47.190 <NA> 400 metres hurdles
## 195 1988 Gold NA OR) 3000 metres steeplechase
## 196 1988 Gold 38.190 <NA> 4×100 metres relay
## 197 1988 Gold NA <NA> 4×400 metres relay
## 198 1988 Gold NA <NA> Marathon
## 199 1988 Gold NA <NA> 20 kilometres walk
## 200 1988 Gold NA OR) 50 kilometres walk
## 201 1988 Gold NA <NA> High jump
## 202 1988 Gold NA <NA> High jump
## 203 1988 Gold NA <NA> Pole vault
## 204 1988 Gold NA <NA> Long jump
## 205 1988 Gold NA <NA> Triple jump
## 206 1988 Gold NA OR) Shot put
## 207 1988 Gold NA <NA> Discus throw
## 208 1988 Gold NA OR) Hammer throw
## 209 1988 Gold NA <NA> Javelin throw
## 210 1988 Gold 8488.000 <NA> Decathlon
## 211 1984 Gold 9.990 <NA> 100 metres
## 212 1984 Gold 19.800 <NA> 200 metres
## 213 1984 Gold 44.270 <NA> 400 metres
## 214 1984 Gold NA <NA> 800 metres
## 215 1984 Gold NA <NA> 1500 metres
## 216 1984 Gold NA <NA> 5000 metres
## 217 1984 Gold NA <NA> 10,000 metres
## 218 1984 Gold 13.200 <NA> 110 metres hurdles
## 219 1984 Gold 47.750 <NA> 400 metres hurdles
## 220 1984 Gold NA <NA> 3000 metres steeplechase
## 221 1984 Gold 37.830 <NA> 4×100 metres relay
## 222 1984 Gold NA <NA> 4×400 metres relay
## 223 1984 Gold NA <NA> Marathon
## 224 1984 Gold NA <NA> 20 kilometres walk
## 225 1984 Gold NA <NA> 50 kilometres walk
## 226 1984 Gold NA <NA> High jump
## 227 1984 Gold NA <NA> Pole vault
## 228 1984 Gold NA <NA> Pole vault
## 229 1984 Gold NA <NA> Long jump
## 230 1984 Gold NA <NA> Triple jump
## 231 1984 Gold NA <NA> Shot put
## 232 1984 Gold NA <NA> Discus throw
## 233 1984 Gold NA <NA> Hammer throw
## 234 1984 Gold NA <NA> Javelin throw
## 235 1984 Gold 8798.000 <NA> Decathlon
## 236 1980 Gold 10.250 <NA> 100 metres
## 237 1980 Gold 20.190 <NA> 200 metres
## 238 1980 Gold 44.600 <NA> 400 metres
## 239 1980 Gold NA <NA> 800 metres
## 240 1980 Gold NA <NA> 1500 metres
## 241 1980 Gold NA <NA> 5000 metres
## 242 1980 Gold NA <NA> 10,000 metres
## 243 1980 Gold 13.390 <NA> 110 metres hurdles
## 244 1980 Gold 48.700 <NA> 400 metres hurdles
## 245 1980 Gold NA <NA> 3000 metres steeplechase
## 246 1980 Gold 38.260 <NA> 4×100 metres relay
## 247 1980 Gold NA <NA> 4×400 metres relay
## 248 1980 Gold NA <NA> Marathon
## 249 1980 Gold NA <NA> 20 kilometres walk
## 250 1980 Gold NA <NA> 50 kilometres walk
## 251 1980 Gold NA <NA> High jump
## 252 1980 Gold NA <NA> Pole vault
## 253 1980 Gold NA <NA> Long jump
## 254 1980 Gold NA <NA> Triple jump
## 255 1980 Gold NA <NA> Shot put
## 256 1980 Gold NA <NA> Discus throw
## 257 1980 Gold NA <NA> Hammer throw
## 258 1980 Gold NA <NA> Javelin throw
## 259 1980 Gold 8495.000 <NA> Decathlon
## 260 1976 Gold 10.060 <NA> 100 metres
## 261 1976 Gold 20.230 <NA> 200 metres
## 262 1976 Gold 44.260 <NA> 400 metres
## 263 1976 Gold NA <NA> 800 metres
## 264 1976 Gold NA <NA> 1500 metres
## 265 1976 Gold NA <NA> 5000 metres
## 266 1976 Gold NA <NA> 10,000 metres
## 267 1976 Gold 13.300 <NA> 110 metres hurdles
## 268 1976 Gold 47.640 <NA> 400 metres hurdles
## 269 1976 Gold NA <NA> 3000 metres steeplechase
## 270 1976 Gold 38.330 <NA> 4×100 metres relay
## 271 1976 Gold NA <NA> 4×400 metres relay
## 272 1976 Gold NA <NA> Marathon
## 273 1976 Gold NA <NA> 20 kilometres walk
## 274 1976 Gold NA <NA> High jump
## 275 1976 Gold NA <NA> Pole vault
## 276 1976 Gold NA <NA> Long jump
## 277 1976 Gold NA <NA> Triple jump
## 278 1976 Gold NA <NA> Shot put
## 279 1976 Gold NA <NA> Discus throw
## 280 1976 Gold NA <NA> Hammer throw
## 281 1976 Gold 94.580 <NA> Javelin throw
## 282 1976 Gold 8618.000 <NA> Decathlon
## 283 1972 Gold 10.140 <NA> 100 metres
## 284 1972 Gold 20.000 <NA> 200 metres
## 285 1972 Gold 44.660 <NA> 400 metres
## 286 1972 Gold NA <NA> 800 metres
## 287 1972 Gold NA <NA> 1500 metres
## 288 1972 Gold NA OR) 5000 metres
## 289 1972 Gold NA WR) 10,000 metres
## 290 1972 Gold 13.240 WR) 110 metres hurdles
## 291 1972 Gold 47.820 WR) 400 metres hurdles
## 292 1972 Gold NA OR) 3000 metres steeplechase
## 293 1972 Gold 38.190 WR) 4×100 metres relay
## 294 1972 Gold NA <NA> 4×400 metres relay
## 295 1972 Gold NA <NA> Marathon
## 296 1972 Gold NA OR) 20 kilometres walk
## 297 1972 Gold NA <NA> 50 kilometres walk
## 298 1972 Gold 2.230 <NA> High jump
## 299 1972 Gold 5.500 OR) Pole vault
## 300 1972 Gold 8.240 <NA> Long jump
## 301 1972 Gold 17.350 <NA> Triple jump
## 302 1972 Gold 21.180 OR) Shot put
## 303 1972 Gold 64.400 <NA> Discus throw
## 304 1972 Gold 75.500 OR) Hammer throw
## 305 1972 Gold 90.480 OR) Javelin throw
## 306 1972 Gold 8454.000 WR) Decathlon
## 307 1968 Gold 9.950 <NA> 100 metres
## 308 1968 Gold 19.830 <NA> 200 metres
## 309 1968 Gold 43.860 <NA> 400 metres
## 310 1968 Gold NA <NA> 800 metres
## 311 1968 Gold NA <NA> 1500 metres
## 312 1968 Gold NA <NA> 5000 metres
## 313 1968 Gold NA <NA> 10,000 metres
## 314 1968 Gold 13.330 <NA> 110 metres hurdles
## 315 1968 Gold 48.120 <NA> 400 metres hurdles
## 316 1968 Gold NA <NA> 3000 metres steeplechase
## 317 1968 Gold 38.240 <NA> 4×100 metres relay
## 318 1968 Gold NA <NA> 4×400 metres relay
## 319 1968 Gold NA <NA> Marathon
## 320 1968 Gold NA <NA> 20 kilometres walk
## 321 1968 Gold NA <NA> 50 kilometres walk
## 322 1968 Gold 2.240 <NA> High jump
## 323 1968 Gold 5.400 <NA> Pole vault
## 324 1968 Gold 8.900 <NA> Long jump
## 325 1968 Gold 17.390 <NA> Triple jump
## 326 1968 Gold 20.540 <NA> Shot put
## 327 1968 Gold 64.780 <NA> Discus throw
## 328 1968 Gold 73.360 <NA> Hammer throw
## 329 1968 Gold 90.100 <NA> Javelin throw
## 330 1968 Gold 8193.000 <NA> Decathlon
## 331 1964 Gold 10.000 =WR) 100 metres
## 332 1964 Gold 20.300 OR) 200 metres
## 333 1964 Gold 45.100 <NA> 400 metres
## 334 1964 Gold NA OR) 800 metres
## 335 1964 Gold NA <NA> 1500 metres
## 336 1964 Gold NA <NA> 5000 metres
## 337 1964 Gold NA OR) 10,000 metres
## 338 1964 Gold 13.670 <NA> 110 metres hurdles
## 339 1964 Gold 49.600 <NA> 400 metres hurdles
## 340 1964 Gold NA OR) 3000 metres steeplechase
## 341 1964 Gold 39.000 WR) 4×100 metres relay
## 342 1964 Gold NA WR) 4×400 metres relay
## 343 1964 Gold NA WR) Marathon
## 344 1964 Gold NA OR) 20 kilometres walk
## 345 1964 Gold NA OR) 50 kilometres walk
## 346 1964 Gold 2.180 OR) High jump
## 347 1964 Gold 5.100 OR) Pole vault
## 348 1964 Gold 8.070 <NA> Long jump
## 349 1964 Gold 16.850 OR) Triple jump
## 350 1964 Gold 20.330 OR) Shot put
## 351 1964 Gold 61.000 OR) Discus throw
## 352 1964 Gold 69.740 OR) Hammer throw
## 353 1964 Gold 82.660 <NA> Javelin throw
## 354 1964 Gold 7887.000 <NA> Decathlon
## 355 1960 Gold 10.200 =OR) 100 metres
## 356 1960 Gold 20.500 =WR) 200 metres
## 357 1960 Gold 44.900 WR) 400 metres
## 358 1960 Gold NA OR) 800 metres
## 359 1960 Gold NA WR) 1500 metres
## 360 1960 Gold NA <NA> 5000 metres
## 361 1960 Gold NA OR) 10,000 metres
## 362 1960 Gold 13.800 <NA> 110 metres hurdles
## 363 1960 Gold 49.300 OR) 400 metres hurdles
## 364 1960 Gold NA OR) 3000 metres steeplechase
## 365 1960 Gold 39.500 =WR) 4×100 metres relay
## 366 1960 Gold NA WR) 4×400 metres relay
## 367 1960 Gold NA WB) Marathon
## 368 1960 Gold NA <NA> 20 kilometres walk
## 369 1960 Gold NA OR) 50 kilometres walk
## 370 1960 Gold 2.160 OR) High jump
## 371 1960 Gold 4.700 OR) Pole vault
## 372 1960 Gold 8.120 OR) Long jump
## 373 1960 Gold 16.810 OR) Triple jump
## 374 1960 Gold 19.680 OR) Shot put
## 375 1960 Gold 59.180 OR) Discus throw
## 376 1960 Gold 67.100 OR) Hammer throw
## 377 1960 Gold 84.640 <NA> Javelin throw
## 378 1960 Gold 8392.000 OR) Decathlon
## 379 1956 Gold 10.500 <NA> 100 metres
## 380 1956 Gold 20.600 OR) 200 metres
## 381 1956 Gold 46.700 <NA> 400 metres
## 382 1956 Gold 46.700 <NA> 400 metres
## 383 1956 Gold NA OR) 800 metres
## 384 1956 Gold NA OR) 1500 metres
## 385 1956 Gold NA OR) 5000 metres
## 386 1956 Gold NA OR) 10,000 metres
## 387 1956 Gold 13.500 OR) 110 metres hurdles
## 388 1956 Gold 50.100 =OR) 400 metres hurdles
## 389 1956 Gold NA OR) 3000 metres steeplechase
## 390 1956 Gold 39.500 WR) 4 × 100 metres relay
## 391 1956 Gold NA <NA> 4 × 400 metres relay
## 392 1956 Gold NA <NA> Marathon
## 393 1956 Gold NA <NA> 20 kilometres walk
## 394 1956 Gold NA <NA> 50 kilometres walk
## 395 1956 Gold 2.120 OR) High jump
## 396 1956 Gold 4.560 OR) Pole vault
## 397 1956 Gold 7.830 <NA> Long jump
## 398 1956 Gold 16.350 OR) Triple jump
## 399 1956 Gold 18.570 OR) Shot put
## 400 1956 Gold 56.360 OR) Discus throw
## 401 1956 Gold 63.190 OR) Hammer throw
## 402 1956 Gold 85.710 WR) Javelin throw
## 403 1956 Gold 7937.000 OR) Decathlon
## 404 1952 Gold 10.400 <NA> 100 metres
## 405 1952 Gold 20.700 <NA> 200 metres
## 406 1952 Gold 45.900 <NA> 400 metres
## 407 1952 Gold NA <NA> 800 metres
## 408 1952 Gold NA <NA> 1500 metres
## 409 1952 Gold NA <NA> 5000 metres
## 410 1952 Gold NA <NA> 10,000 metres
## 411 1952 Gold 13.700 <NA> 110 metres hurdles
## 412 1952 Gold 50.800 <NA> 400 metres hurdles
## 413 1952 Gold NA <NA> 3000 metres steeplechase
## 414 1952 Gold 40.100 <NA> 4 × 100 metres relay
## 415 1952 Gold NA <NA> 4 × 400 metres relay
## 416 1952 Gold NA <NA> Marathon
## 417 1952 Gold NA <NA> 10 kilometres walk
## 418 1952 Gold NA <NA> 50 kilometres walk
## 419 1952 Gold NA <NA> High jump
## 420 1952 Gold NA <NA> Pole vault
## 421 1952 Gold NA <NA> Long jump
## 422 1952 Gold 16.220 <NA> Triple jump
## 423 1952 Gold NA <NA> Shot put
## 424 1952 Gold NA <NA> Discus throw
## 425 1952 Gold 60.340 <NA> Hammer throw
## 426 1952 Gold NA <NA> Javelin throw
## 427 1952 Gold NA <NA> Decathlon
## 428 1948 Gold 10.300 <NA> 100 metres
## 429 1948 Gold 21.100 <NA> 200 metres
## 430 1948 Gold 46.200 <NA> 400 metres
## 431 1948 Gold NA <NA> 800 metres
## 432 1948 Gold NA <NA> 1500 metres
## 433 1948 Gold NA <NA> 5000 metres
## 434 1948 Gold NA <NA> 10,000 metres
## 435 1948 Gold 13.900 <NA> 110 metres hurdles
## 436 1948 Gold 51.100 <NA> 400 metres hurdles
## 437 1948 Gold NA <NA> 3000 metres steeplechase
## 438 1948 Gold 40.600 <NA> 4 × 100 metres relay
## 439 1948 Gold NA <NA> 4 × 400 metres relay
## 440 1948 Gold NA <NA> Marathon
## 441 1948 Gold NA <NA> 10 kilometres walk
## 442 1948 Gold NA <NA> 50 kilometres walk
## 443 1948 Gold 1.980 <NA> High jump
## 444 1948 Gold 4.300 <NA> Pole vault
## 445 1948 Gold 7.825 <NA> Long jump
## 446 1948 Gold 15.400 <NA> Triple jump
## 447 1948 Gold 17.120 <NA> Shot put
## 448 1948 Gold 52.780 <NA> Discus throw
## 449 1948 Gold 56.070 <NA> Hammer throw
## 450 1948 Gold 69.770 <NA> Javelin throw
## 451 1948 Gold 7139.000 <NA> Decathlon
## 452 1936 Gold 10.300 <NA> 100 metres
## 453 1936 Gold 20.700 <NA> 200 metres
## 454 1936 Gold 46.500 <NA> 400 metres
## 455 1936 Gold NA <NA> 800 metres
## 456 1936 Gold NA <NA> 1500 metres
## 457 1936 Gold NA <NA> 5000 metres
## 458 1936 Gold NA <NA> 10,000 metres
## 459 1936 Gold 14.200 <NA> 110 metres hurdles
## 460 1936 Gold 52.400 <NA> 400 metres hurdles
## 461 1936 Gold NA <NA> 3000 metres steeplechase
## 462 1936 Gold 39.800 <NA> 4 × 100 meters relay
## 463 1936 Gold NA <NA> 4 × 400 meters relay
## 464 1936 Gold NA <NA> Marathon
## 465 1936 Gold NA <NA> 50 kilometres walk
## 466 1936 Gold 2.030 <NA> High jump
## 467 1936 Gold 4.350 <NA> Pole vault
## 468 1936 Gold 8.060 <NA> Long jump
## 469 1936 Gold 16.000 <NA> Triple jump
## 470 1936 Gold 16.200 <NA> Shot put
## 471 1936 Gold 50.480 <NA> Discus throw
## 472 1936 Gold 56.490 <NA> Hammer throw
## 473 1936 Gold 71.840 <NA> Javelin throw
## 474 1936 Gold 7900.000 <NA> Decathlon
## 475 2016 Silver 9.890 <NA> 100 metres
## 476 2016 Silver 20.020 <NA> 200 metres
## 477 2016 Silver 43.760 <NA> 400 metres
## 478 2016 Silver NA <NA> 800 metres
## 479 2016 Silver NA <NA> 1500 metres
## 480 2016 Silver NA <NA> 5000 metres
## 481 2016 Silver NA <NA> 10,000 metres
## 482 2016 Silver NA <NA>
## 483 2016 Silver 13.170 <NA> 110 metres hurdles
## 484 2016 Silver 47.780 <NA> 400 metres hurdles
## 485 2016 Silver NA <NA> 3000 metres steeplechase
## 486 2016 Silver NA <NA>
## 487 2016 Silver 37.600 <NA> 4 × 100 metres relay
## 488 2016 Silver NA <NA> 4 × 400 metres relay
## 489 2016 Silver NA <NA>
## 490 2016 Silver NA <NA> Marathon
## 491 2016 Silver NA <NA> 20 kilometres walk
## 492 2016 Silver NA <NA> 50 kilometres walk
## 493 2016 Silver NA <NA>
## 494 2016 Silver 2.360 <NA> High jump
## 495 2016 Silver 5.980 <NA> Pole vault
## 496 2016 Silver 8.370 <NA> Long jump
## 497 2016 Silver 17.760 <NA> Triple jump
## 498 2016 Silver 21.780 <NA> Shot put
## 499 2016 Silver 67.550 <NA> Discus throw
## 500 2016 Silver 77.790 <NA> Hammer throw
## 501 2016 Silver 88.240 <NA> Javelin throw
## 502 2016 Silver NA <NA>
## 503 2016 Silver 8834.000 <NA> Decathlon
## 504 2012 Silver 9.750 <NA> 100 metres
## 505 2012 Silver 19.440 <NA> 200 metres
## 506 2012 Silver 44.460 <NA> 400 metres
## 507 2012 Silver NA <NA> 800 metres
## 508 2012 Silver NA <NA> 1500 metres
## 509 2012 Silver NA <NA> 5000 metres
## 510 2012 Silver NA <NA> 10,000 metres
## 511 2012 Silver NA <NA>
## 512 2012 Silver 13.040 <NA> 110 metres hurdles
## 513 2012 Silver 47.910 <NA> 400 metres hurdles
## 514 2012 Silver NA <NA> 3000 metres steeplechase
## 515 2012 Silver NA <NA>
## 516 2012 Silver 38.120 <NA> 4×100 metres relay [a]
## 517 2012 Silver NA <NA> 4×400 metres relay
## 518 2012 Silver NA <NA>
## 519 2012 Silver NA <NA> Marathon
## 520 2012 Silver NA <NA> 20 kilometres walk
## 521 2012 Silver NA <NA> 50 kilometres walk [b]
## 522 2012 Silver NA <NA>
## 523 2012 Silver 2.290 <NA> High jump [c]
## 524 2012 Silver 5.910 <NA> Pole vault
## 525 2012 Silver 8.160 <NA> Long jump
## 526 2012 Silver 17.620 <NA> Triple jump
## 527 2012 Silver 21.860 <NA> Shot put
## 528 2012 Silver 68.180 <NA> Discus throw
## 529 2012 Silver 79.360 <NA> Hammer throw
## 530 2012 Silver 84.120 <NA> Javelin throw [d]
## 531 2012 Silver NA <NA>
## 532 2012 Silver 8671.000 <NA> Decathlon
## 533 2008 Silver 9.890 <NA> 100 metres
## 534 2008 Silver 19.960 <NA> 200 metres
## 535 2008 Silver 44.740 <NA> 400 metres
## 536 2008 Silver NA <NA> 800 metres
## 537 2008 Silver NA <NA> 1500 metres [a]
## 538 2008 Silver NA <NA> 5000 metres
## 539 2008 Silver NA <NA> 10,000 metres
## 540 2008 Silver 13.170 <NA> 110 metres hurdles
## 541 2008 Silver 47.980 <NA> 400 metres hurdles
## 542 2008 Silver NA <NA> 3000 metres steeplechase
## 543 2008 Silver 38.150 <NA> 4×100 metres relay [b]
## 544 2008 Silver NA <NA> 4×400 metres relay [c]
## 545 2008 Silver NA <NA> Marathon
## 546 2008 Silver NA <NA> 20 kilometres walk
## 547 2008 Silver NA <NA> 50 kilometres walk
## 548 2008 Silver NA <NA> High jump
## 549 2008 Silver NA <NA> Pole vault [d]
## 550 2008 Silver NA <NA> Long jump
## 551 2008 Silver NA <NA> Triple jump
## 552 2008 Silver NA <NA> Shot put [e]
## 553 2008 Silver NA <NA> Discus throw
## 554 2008 Silver NA <NA> Hammer throw [f]
## 555 2008 Silver NA <NA> Javelin throw
## 556 2008 Silver 8551.000 <NA> Decathlon
## 557 2004 Silver 9.860 AR) 100 metres
## 558 2004 Silver 20.010 <NA> 200 metres
## 559 2004 Silver 44.160 <NA> 400 metres
## 560 2004 Silver NA <NA> 800 metres
## 561 2004 Silver NA <NA> 1500 metres
## 562 2004 Silver NA <NA> 5000 metres
## 563 2004 Silver NA <NA> 10,000 metres
## 564 2004 Silver NA <NA>
## 565 2004 Silver 13.180 <NA> 110 metres hurdles
## 566 2004 Silver 48.110 <NA> 400 metres hurdles
## 567 2004 Silver NA <NA> 3000 metres steeplechase
## 568 2004 Silver NA <NA>
## 569 2004 Silver 38.080 <NA> 4×100 metres relay
## 570 2004 Silver NA <NA> 4×400 metres relay
## 571 2004 Silver NA <NA>
## 572 2004 Silver NA <NA> Marathon
## 573 2004 Silver NA <NA> 20 kilometres walk
## 574 2004 Silver NA <NA> 50 kilometres walk
## 575 2004 Silver NA <NA>
## 576 2004 Silver NA <NA> High jump
## 577 2004 Silver NA <NA> Pole vault
## 578 2004 Silver NA <NA> Long jump
## 579 2004 Silver NA <NA> Triple jump
## 580 2004 Silver NA <NA> Shot put [a]
## 581 2004 Silver NA <NA> Discus throw
## 582 2004 Silver NA <NA> Hammer throw [b]
## 583 2004 Silver NA <NA> Javelin throw
## 584 2004 Silver NA <NA>
## 585 2004 Silver 8820.000 <NA> Decathlon
## 586 2000 Silver 9.990 <NA> 100 metres
## 587 2000 Silver 20.140 <NA> 200 metres
## 588 2000 Silver 44.400 <NA> 400 metres
## 589 2000 Silver NA <NA> 800 metres
## 590 2000 Silver NA <NA> 1500 metres
## 591 2000 Silver NA <NA> 5000 metres
## 592 2000 Silver NA <NA> 10,000 metres
## 593 2000 Silver 13.160 <NA> 110 metres hurdles
## 594 2000 Silver 47.530 <NA> 400 metres hurdles
## 595 2000 Silver NA <NA> 3000 metressteeplechase
## 596 2000 Silver 37.900 <NA> 4×100 metres relay
## 597 2000 Silver NA <NA> 4×400 metres relay
## 598 2000 Silver NA <NA> Marathon
## 599 2000 Silver NA <NA> 20 kilometres walk
## 600 2000 Silver NA <NA> 50 kilometres walk
## 601 2000 Silver NA <NA> High jump
## 602 2000 Silver NA <NA> Pole vault
## 603 2000 Silver NA <NA> Long jump
## 604 2000 Silver NA <NA> Triple jump
## 605 2000 Silver NA <NA> Shot put
## 606 2000 Silver NA <NA> Discus throw
## 607 2000 Silver NA <NA> Hammer throw
## 608 2000 Silver NA <NA> Javelin throw
## 609 2000 Silver 8606.000 <NA> Decathlon
## 610 1996 Silver 9.890 <NA> 100 metres
## 611 1996 Silver 19.680 AR) 200 metres
## 612 1996 Silver 44.410 <NA> 400 metres
## 613 1996 Silver NA <NA> 800 metres
## 614 1996 Silver NA <NA> 1500 metres
## 615 1996 Silver NA <NA> 5000 metres
## 616 1996 Silver NA <NA> 10,000 metres
## 617 1996 Silver 13.090 <NA> 110 metres hurdles
## 618 1996 Silver 47.780 <NA> 400 metres hurdles
## 619 1996 Silver NA <NA> 3000 metres steeplechase
## 620 1996 Silver 38.050 <NA> 4×100 metres relay
## 621 1996 Silver NA <NA> 4×400 metres relay
## 622 1996 Silver NA <NA> Marathon
## 623 1996 Silver NA <NA> 20 kilometres walk
## 624 1996 Silver NA <NA> 50 kilometres walk
## 625 1996 Silver 2.370 <NA> High jump
## 626 1996 Silver 5.920 <NA> Pole vault
## 627 1996 Silver 8.290 <NA> Long jump
## 628 1996 Silver 17.880 <NA> Triple jump
## 629 1996 Silver 20.790 <NA> Shot put
## 630 1996 Silver 66.600 <NA> Discus throw
## 631 1996 Silver 81.120 <NA> Hammer throw
## 632 1996 Silver 87.440 <NA> Javelin throw
## 633 1996 Silver 8706.000 <NA> Decathlon
## 634 1992 Silver 10.020 <NA> 100 metres
## 635 1992 Silver 20.130 <NA> 200 metres
## 636 1992 Silver 44.210 <NA> 400 metres
## 637 1992 Silver NA <NA> 800 metres
## 638 1992 Silver NA <NA> 1500 metres
## 639 1992 Silver NA <NA> 5000 metres
## 640 1992 Silver NA <NA> 10,000 metres
## 641 1992 Silver 13.240 <NA> 110 metres hurdles
## 642 1992 Silver 47.660 <NA> 400 metres hurdles
## 643 1992 Silver NA <NA> 3000 metres steeplechase
## 644 1992 Silver 37.980 <NA> 4×100 metres relay
## 645 1992 Silver NA <NA> 4×400 metres relay
## 646 1992 Silver NA <NA> Marathon
## 647 1992 Silver NA <NA> 20 kilometres walk
## 648 1992 Silver NA <NA> 50 kilometres walk
## 649 1992 Silver NA <NA> High jump
## 650 1992 Silver NA <NA> High jump
## 651 1992 Silver NA <NA> High jump
## 652 1992 Silver NA <NA> Pole vault
## 653 1992 Silver NA <NA> Long jump
## 654 1992 Silver NA <NA> Triple jump
## 655 1992 Silver NA <NA> Shot put
## 656 1992 Silver NA <NA> Discus throw
## 657 1992 Silver NA <NA> Hammer throw
## 658 1992 Silver NA <NA> Javelin throw
## 659 1992 Silver 8412.000 <NA> Decathlon
## 660 1988 Silver 9.970 AR) 100 metres
## 661 1988 Silver 19.790 <NA> 200 metres
## 662 1988 Silver 43.930 <NA> 400 metres
## 663 1988 Silver NA <NA> 800 metres
## 664 1988 Silver NA <NA> 1500 metres
## 665 1988 Silver NA <NA> 5000 metres
## 666 1988 Silver NA <NA> 10,000 metres
## 667 1988 Silver 13.280 <NA> 110 metres hurdles
## 668 1988 Silver 47.230 NR) 400 metres hurdles
## 669 1988 Silver NA <NA> 3000 metres steeplechase
## 670 1988 Silver 38.280 <NA> 4×100 metres relay
## 671 1988 Silver NA <NA> 4×400 metres relay
## 672 1988 Silver NA <NA> Marathon
## 673 1988 Silver NA <NA> 20 kilometres walk
## 674 1988 Silver NA <NA> 50 kilometres walk
## 675 1988 Silver NA <NA> High jump
## 676 1988 Silver NA <NA> High jump
## 677 1988 Silver NA <NA> Pole vault
## 678 1988 Silver NA <NA> Long jump
## 679 1988 Silver NA <NA> Triple jump
## 680 1988 Silver NA <NA> Shot put
## 681 1988 Silver NA <NA> Discus throw
## 682 1988 Silver NA <NA> Hammer throw
## 683 1988 Silver NA <NA> Javelin throw
## 684 1988 Silver 8399.000 <NA> Decathlon
## 685 1984 Silver 10.190 <NA> 100 metres
## 686 1984 Silver 19.960 <NA> 200 metres
## 687 1984 Silver 44.540 <NA> 400 metres
## 688 1984 Silver NA <NA> 800 metres
## 689 1984 Silver NA <NA> 1500 metres
## 690 1984 Silver NA <NA> 5000 metres
## 691 1984 Silver NA <NA> 10,000 metres
## 692 1984 Silver 13.230 <NA> 110 metres hurdles
## 693 1984 Silver 48.130 <NA> 400 metres hurdles
## 694 1984 Silver NA <NA> 3000 metres steeplechase
## 695 1984 Silver 38.620 <NA> 4×100 metres relay
## 696 1984 Silver NA <NA> 4×400 metres relay
## 697 1984 Silver NA <NA> Marathon
## 698 1984 Silver NA <NA> 20 kilometres walk
## 699 1984 Silver NA <NA> 50 kilometres walk
## 700 1984 Silver NA <NA> High jump
## 701 1984 Silver NA <NA> Pole vault
## 702 1984 Silver NA <NA> Pole vault
## 703 1984 Silver NA <NA> Long jump
## 704 1984 Silver NA <NA> Triple jump
## 705 1984 Silver NA <NA> Shot put
## 706 1984 Silver NA <NA> Discus throw
## 707 1984 Silver NA <NA> Hammer throw
## 708 1984 Silver NA <NA> Javelin throw
## 709 1984 Silver 8673.000 <NA> Decathlon
## 710 1980 Silver 10.250 <NA> 100 metres
## 711 1980 Silver 20.210 <NA> 200 metres
## 712 1980 Silver 44.840 <NA> 400 metres
## 713 1980 Silver NA <NA> 800 metres
## 714 1980 Silver NA <NA> 1500 metres
## 715 1980 Silver NA <NA> 5000 metres
## 716 1980 Silver NA <NA> 10,000 metres
## 717 1980 Silver 13.400 <NA> 110 metres hurdles
## 718 1980 Silver 48.860 <NA> 400 metres hurdles
## 719 1980 Silver NA <NA> 3000 metres steeplechase
## 720 1980 Silver 38.330 <NA> 4×100 metres relay
## 721 1980 Silver NA <NA> 4×400 metres relay
## 722 1980 Silver NA <NA> Marathon
## 723 1980 Silver NA <NA> 20 kilometres walk
## 724 1980 Silver NA <NA> 50 kilometres walk
## 725 1980 Silver NA <NA> High jump
## 726 1980 Silver NA <NA> Pole vault
## 727 1980 Silver NA <NA> Long jump
## 728 1980 Silver NA <NA> Triple jump
## 729 1980 Silver NA <NA> Shot put
## 730 1980 Silver NA <NA> Discus throw
## 731 1980 Silver NA <NA> Hammer throw
## 732 1980 Silver NA <NA> Javelin throw
## 733 1980 Silver 8331.000 <NA> Decathlon
## 734 1976 Silver 10.080 <NA> 100 metres
## 735 1976 Silver 20.290 <NA> 200 metres
## 736 1976 Silver 44.400 <NA> 400 metres
## 737 1976 Silver NA <NA> 800 metres
## 738 1976 Silver NA <NA> 1500 metres
## 739 1976 Silver NA <NA> 5000 metres
## 740 1976 Silver NA <NA> 10,000 metres
## 741 1976 Silver 13.330 <NA> 110 metres hurdles
## 742 1976 Silver 48.690 <NA> 400 metres hurdles
## 743 1976 Silver NA <NA> 3000 metres steeplechase
## 744 1976 Silver 38.660 <NA> 4×100 metres relay
## 745 1976 Silver NA <NA> 4×400 metres relay
## 746 1976 Silver NA <NA> Marathon
## 747 1976 Silver NA <NA> 20 kilometres walk
## 748 1976 Silver NA <NA> High jump
## 749 1976 Silver NA <NA> Pole vault
## 750 1976 Silver NA <NA> Long jump
## 751 1976 Silver NA <NA> Triple jump
## 752 1976 Silver NA <NA> Shot put
## 753 1976 Silver NA <NA> Discus throw
## 754 1976 Silver NA <NA> Hammer throw
## 755 1976 Silver 87.920 <NA> Javelin throw
## 756 1976 Silver 8411.000 <NA> Decathlon
## 757 1972 Silver 10.240 <NA> 100 metres
## 758 1972 Silver 20.190 <NA> 200 metres
## 759 1972 Silver 44.800 <NA> 400 metres
## 760 1972 Silver NA <NA> 800 metres
## 761 1972 Silver NA <NA> 1500 metres
## 762 1972 Silver NA <NA> 5000 metres
## 763 1972 Silver NA <NA> 10,000 metres
## 764 1972 Silver 13.340 <NA> 110 metres hurdles
## 765 1972 Silver 48.510 <NA> 400 metres hurdles
## 766 1972 Silver NA <NA> 3000 metres steeplechase
## 767 1972 Silver 38.500 <NA> 4×100 metres relay
## 768 1972 Silver NA <NA> 4×400 metres relay
## 769 1972 Silver NA <NA> Marathon
## 770 1972 Silver NA <NA> 20 kilometres walk
## 771 1972 Silver NA <NA> 50 kilometres walk
## 772 1972 Silver 2.210 <NA> High jump
## 773 1972 Silver 5.400 <NA> Pole vault
## 774 1972 Silver 8.180 <NA> Long jump
## 775 1972 Silver 17.310 <NA> Triple jump
## 776 1972 Silver 21.170 <NA> Shot put
## 777 1972 Silver 63.500 <NA> Discus throw
## 778 1972 Silver 74.960 <NA> Hammer throw
## 779 1972 Silver 90.460 <NA> Javelin throw
## 780 1972 Silver 8035.000 <NA> Decathlon
## 781 1968 Silver 10.040 <NA> 100 metres
## 782 1968 Silver 20.060 <NA> 200 metres
## 783 1968 Silver 43.970 <NA> 400 metres
## 784 1968 Silver NA <NA> 800 metres
## 785 1968 Silver NA <NA> 1500 metres
## 786 1968 Silver NA <NA> 5000 metres
## 787 1968 Silver NA <NA> 10,000 metres
## 788 1968 Silver 13.420 <NA> 110 metres hurdles
## 789 1968 Silver 49.020 <NA> 400 metres hurdles
## 790 1968 Silver NA <NA> 3000 metres steeplechase
## 791 1968 Silver 38.400 <NA> 4×100 metres relay
## 792 1968 Silver NA <NA> 4×400 metres relay
## 793 1968 Silver NA <NA> Marathon
## 794 1968 Silver NA <NA> 20 kilometres walk
## 795 1968 Silver NA <NA> 50 kilometres walk
## 796 1968 Silver 2.220 <NA> High jump
## 797 1968 Silver 5.400 <NA> Pole vault
## 798 1968 Silver 8.190 <NA> Long jump
## 799 1968 Silver 17.270 <NA> Triple jump
## 800 1968 Silver 20.120 <NA> Shot put
## 801 1968 Silver 63.080 <NA> Discus throw
## 802 1968 Silver 73.280 <NA> Hammer throw
## 803 1968 Silver 88.580 <NA> Javelin throw
## 804 1968 Silver 8111.000 <NA> Decathlon
## 805 1964 Silver 10.200 <NA> 100 metres
## 806 1964 Silver 20.500 <NA> 200 metres
## 807 1964 Silver 45.200 <NA> 400 metres
## 808 1964 Silver NA <NA> 800 metres
## 809 1964 Silver NA <NA> 1500 metres
## 810 1964 Silver NA <NA> 5000 metres
## 811 1964 Silver NA <NA> 10,000 metres
## 812 1964 Silver 13.740 <NA> 110 metres hurdles
## 813 1964 Silver 50.100 <NA> 400 metres hurdles
## 814 1964 Silver NA <NA> 3000 metres steeplechase
## 815 1964 Silver 39.300 <NA> 4×100 metres relay
## 816 1964 Silver NA <NA> 4×400 metres relay
## 817 1964 Silver NA <NA> Marathon
## 818 1964 Silver NA <NA> 20 kilometres walk
## 819 1964 Silver NA <NA> 50 kilometres walk
## 820 1964 Silver 2.180 <NA> High jump
## 821 1964 Silver 5.050 <NA> Pole vault
## 822 1964 Silver 8.030 <NA> Long jump
## 823 1964 Silver 16.580 <NA> Triple jump
## 824 1964 Silver 20.200 <NA> Shot put
## 825 1964 Silver 60.520 <NA> Discus throw
## 826 1964 Silver 69.090 <NA> Hammer throw
## 827 1964 Silver 82.320 <NA> Javelin throw
## 828 1964 Silver 7842.000 <NA> Decathlon
## 829 1960 Silver 10.200 =OR) 100 metres
## 830 1960 Silver 20.600 <NA> 200 metres
## 831 1960 Silver 44.900 WR) 400 metres
## 832 1960 Silver NA <NA> 800 metres
## 833 1960 Silver NA <NA> 1500 metres
## 834 1960 Silver NA <NA> 5000 metres
## 835 1960 Silver NA <NA> 10,000 metres
## 836 1960 Silver 13.800 <NA> 110 metres hurdles
## 837 1960 Silver 49.600 <NA> 400 metres hurdles
## 838 1960 Silver NA <NA> 3000 metres steeplechase
## 839 1960 Silver 40.100 <NA> 4×100 metres relay
## 840 1960 Silver NA <NA> 4×400 metres relay
## 841 1960 Silver NA <NA> Marathon
## 842 1960 Silver NA <NA> 20 kilometres walk
## 843 1960 Silver NA <NA> 50 kilometres walk
## 844 1960 Silver 2.160 OR) High jump
## 845 1960 Silver 4.600 <NA> Pole vault
## 846 1960 Silver 8.110 <NA> Long jump
## 847 1960 Silver 16.630 <NA> Triple jump
## 848 1960 Silver 19.110 <NA> Shot put
## 849 1960 Silver 58.020 <NA> Discus throw
## 850 1960 Silver 65.790 <NA> Hammer throw
## 851 1960 Silver 79.360 <NA> Javelin throw
## 852 1960 Silver 8334.000 <NA> Decathlon
## 853 1956 Silver 10.500 <NA> 100 metres
## 854 1956 Silver 20.700 <NA> 200 metres
## 855 1956 Silver 46.800 <NA> 400 metres
## 856 1956 Silver 46.800 <NA> 400 metres
## 857 1956 Silver NA <NA> 800 metres
## 858 1956 Silver NA <NA> 1500 metres
## 859 1956 Silver NA <NA> 5000 metres
## 860 1956 Silver NA <NA> 10,000 metres
## 861 1956 Silver 13.500 OR) 110 metres hurdles
## 862 1956 Silver 50.800 <NA> 400 metres hurdles
## 863 1956 Silver NA <NA> 3000 metres steeplechase
## 864 1956 Silver 39.800 <NA> 4 × 100 metres relay
## 865 1956 Silver NA <NA> 4 × 400 metres relay
## 866 1956 Silver NA <NA> Marathon
## 867 1956 Silver NA <NA> 20 kilometres walk
## 868 1956 Silver NA <NA> 50 kilometres walk
## 869 1956 Silver 2.100 <NA> High jump
## 870 1956 Silver 4.530 <NA> Pole vault
## 871 1956 Silver 7.680 <NA> Long jump
## 872 1956 Silver 16.260 <NA> Triple jump
## 873 1956 Silver 18.180 <NA> Shot put
## 874 1956 Silver 54.810 <NA> Discus throw
## 875 1956 Silver 63.030 <NA> Hammer throw
## 876 1956 Silver 79.980 <NA> Javelin throw
## 877 1956 Silver 7587.000 <NA> Decathlon
## 878 1952 Silver 10.400 <NA> 100 metres
## 879 1952 Silver 20.800 <NA> 200 metres
## 880 1952 Silver 45.900 <NA> 400 metres
## 881 1952 Silver NA <NA> 800 metres
## 882 1952 Silver NA <NA> 1500 metres
## 883 1952 Silver NA <NA> 5000 metres
## 884 1952 Silver NA <NA> 10,000 metres
## 885 1952 Silver 13.700 <NA> 110 metres hurdles
## 886 1952 Silver 51.300 <NA> 400 metres hurdles
## 887 1952 Silver NA <NA> 3000 metres steeplechase
## 888 1952 Silver 40.300 <NA> 4 × 100 metres relay
## 889 1952 Silver NA <NA> 4 × 400 metres relay
## 890 1952 Silver NA <NA> Marathon
## 891 1952 Silver NA <NA> 10 kilometres walk
## 892 1952 Silver NA <NA> 50 kilometres walk
## 893 1952 Silver NA <NA> High jump
## 894 1952 Silver NA <NA> Pole vault
## 895 1952 Silver NA <NA> Long jump
## 896 1952 Silver 15.980 <NA> Triple jump
## 897 1952 Silver NA <NA> Shot put
## 898 1952 Silver NA <NA> Discus throw
## 899 1952 Silver 58.860 <NA> Hammer throw
## 900 1952 Silver NA <NA> Javelin throw
## 901 1952 Silver NA <NA> Decathlon
## 902 1948 Silver 10.400 <NA> 100 metres
## 903 1948 Silver 21.100 <NA> 200 metres
## 904 1948 Silver 46.400 <NA> 400 metres
## 905 1948 Silver NA <NA> 800 metres
## 906 1948 Silver NA <NA> 1500 metres
## 907 1948 Silver NA <NA> 5000 metres
## 908 1948 Silver NA <NA> 10,000 metres
## 909 1948 Silver 14.100 <NA> 110 metres hurdles
## 910 1948 Silver 51.800 <NA> 400 metres hurdles
## 911 1948 Silver NA <NA> 3000 metres steeplechase
## 912 1948 Silver 41.300 <NA> 4 × 100 metres relay
## 913 1948 Silver NA <NA> 4 × 400 metres relay
## 914 1948 Silver NA <NA> Marathon
## 915 1948 Silver NA <NA> 10 kilometres walk
## 916 1948 Silver NA <NA> 50 kilometres walk
## 917 1948 Silver 1.950 <NA> High jump
## 918 1948 Silver 4.200 <NA> Pole vault
## 919 1948 Silver 7.550 <NA> Long jump
## 920 1948 Silver 15.360 <NA> Triple jump
## 921 1948 Silver 16.680 <NA> Shot put
## 922 1948 Silver 51.780 <NA> Discus throw
## 923 1948 Silver 54.270 <NA> Hammer throw
## 924 1948 Silver 67.560 <NA> Javelin throw
## 925 1948 Silver 6974.000 <NA> Decathlon
## 926 1936 Silver 10.400 <NA> 100 metres
## 927 1936 Silver 21.100 <NA> 200 metres
## 928 1936 Silver 46.700 <NA> 400 metres
## 929 1936 Silver NA <NA> 800 metres
## 930 1936 Silver NA <NA> 1500 metres
## 931 1936 Silver NA <NA> 5000 metres
## 932 1936 Silver NA <NA> 10,000 metres
## 933 1936 Silver 14.400 <NA> 110 metres hurdles
## 934 1936 Silver 52.700 <NA> 400 metres hurdles
## 935 1936 Silver NA <NA> 3000 metres steeplechase
## 936 1936 Silver 41.100 <NA> 4 × 100 meters relay
## 937 1936 Silver NA <NA> 4 × 400 meters relay
## 938 1936 Silver NA <NA> Marathon
## 939 1936 Silver NA <NA> 50 kilometres walk
## 940 1936 Silver 2.000 <NA> High jump
## 941 1936 Silver 4.250 <NA> Pole vault
## 942 1936 Silver 7.870 <NA> Long jump
## 943 1936 Silver 15.660 <NA> Triple jump
## 944 1936 Silver 16.120 <NA> Shot put
## 945 1936 Silver 49.360 <NA> Discus throw
## 946 1936 Silver 55.040 <NA> Hammer throw
## 947 1936 Silver 70.770 <NA> Javelin throw
## 948 1936 Silver 7601.000 <NA> Decathlon
## 949 2016 Bronze 9.910 <NA> 100 metres
## 950 2016 Bronze 20.120 <NA> 200 metres
## 951 2016 Bronze 43.850 <NA> 400 metres
## 952 2016 Bronze NA <NA> 800 metres
## 953 2016 Bronze NA <NA> 1500 metres
## 954 2016 Bronze NA <NA> 5000 metres
## 955 2016 Bronze NA <NA> 10,000 metres
## 956 2016 Bronze NA <NA>
## 957 2016 Bronze 13.240 <NA> 110 metres hurdles
## 958 2016 Bronze 47.920 <NA> 400 metres hurdles
## 959 2016 Bronze NA <NA> 3000 metres steeplechase
## 960 2016 Bronze NA <NA>
## 961 2016 Bronze 37.640 <NA> 4 × 100 metres relay
## 962 2016 Bronze NA <NA> 4 × 400 metres relay
## 963 2016 Bronze NA <NA>
## 964 2016 Bronze NA <NA> Marathon
## 965 2016 Bronze NA <NA> 20 kilometres walk
## 966 2016 Bronze NA <NA> 50 kilometres walk
## 967 2016 Bronze NA <NA>
## 968 2016 Bronze 2.330 <NA> High jump
## 969 2016 Bronze 5.850 <NA> Pole vault
## 970 2016 Bronze 8.290 <NA> Long jump
## 971 2016 Bronze 17.580 <NA> Triple jump
## 972 2016 Bronze 21.360 <NA> Shot put
## 973 2016 Bronze 67.050 <NA> Discus throw
## 974 2016 Bronze 77.730 <NA> Hammer throw
## 975 2016 Bronze 85.380 <NA> Javelin throw
## 976 2016 Bronze NA <NA>
## 977 2016 Bronze 8666.000 <NA> Decathlon
## 978 2012 Bronze 9.790 <NA> 100 metres
## 979 2012 Bronze 19.840 <NA> 200 metres
## 980 2012 Bronze 44.520 <NA> 400 metres
## 981 2012 Bronze NA <NA> 800 metres
## 982 2012 Bronze NA <NA> 1500 metres
## 983 2012 Bronze NA <NA> 5000 metres
## 984 2012 Bronze NA <NA> 10,000 metres
## 985 2012 Bronze NA <NA>
## 986 2012 Bronze 13.120 <NA> 110 metres hurdles
## 987 2012 Bronze 48.100 <NA> 400 metres hurdles
## 988 2012 Bronze NA <NA> 3000 metres steeplechase
## 989 2012 Bronze NA <NA>
## 990 2012 Bronze 38.160 <NA> 4×100 metres relay [a]
## 991 2012 Bronze NA <NA> 4×400 metres relay
## 992 2012 Bronze NA <NA>
## 993 2012 Bronze NA <NA> Marathon
## 994 2012 Bronze NA <NA> 20 kilometres walk
## 995 2012 Bronze NA <NA> 50 kilometres walk [b]
## 996 2012 Bronze NA <NA>
## 997 2012 Bronze NA tie for silver) High jump [c]
## 998 2012 Bronze 5.910 <NA> Pole vault
## 999 2012 Bronze 8.120 <NA> Long jump
## 1000 2012 Bronze 17.480 <NA> Triple jump
## 1001 2012 Bronze 21.230 <NA> Shot put
## 1002 2012 Bronze 68.030 <NA> Discus throw
## 1003 2012 Bronze 78.710 <NA> Hammer throw
## 1004 2012 Bronze 83.340 <NA> Javelin throw [d]
## 1005 2012 Bronze NA <NA>
## 1006 2012 Bronze 8523.000 <NA> Decathlon
## 1007 2008 Bronze 9.910 <NA> 100 metres
## 1008 2008 Bronze 19.980 <NA> 200 metres
## 1009 2008 Bronze 44.800 <NA> 400 metres
## 1010 2008 Bronze NA <NA> 800 metres
## 1011 2008 Bronze NA <NA> 1500 metres [a]
## 1012 2008 Bronze NA <NA> 5000 metres
## 1013 2008 Bronze NA <NA> 10,000 metres
## 1014 2008 Bronze 13.180 <NA> 110 metres hurdles
## 1015 2008 Bronze 48.060 <NA> 400 metres hurdles
## 1016 2008 Bronze NA <NA> 3000 metres steeplechase
## 1017 2008 Bronze 38.240 <NA> 4×100 metres relay [b]
## 1018 2008 Bronze NA <NA> 4×400 metres relay [c]
## 1019 2008 Bronze NA <NA> Marathon
## 1020 2008 Bronze NA <NA> 20 kilometres walk
## 1021 2008 Bronze NA <NA> 50 kilometres walk
## 1022 2008 Bronze NA <NA> High jump
## 1023 2008 Bronze NA <NA> Pole vault [d]
## 1024 2008 Bronze NA <NA> Long jump
## 1025 2008 Bronze NA <NA> Triple jump
## 1026 2008 Bronze NA <NA> Shot put [e]
## 1027 2008 Bronze NA <NA> Discus throw
## 1028 2008 Bronze NA <NA> Hammer throw [f]
## 1029 2008 Bronze NA <NA> Javelin throw
## 1030 2008 Bronze 8527.000 <NA> Decathlon
## 1031 2004 Bronze 9.870 <NA> 100 metres
## 1032 2004 Bronze 20.030 <NA> 200 metres
## 1033 2004 Bronze 44.420 <NA> 400 metres
## 1034 2004 Bronze NA <NA> 800 metres
## 1035 2004 Bronze NA <NA> 1500 metres
## 1036 2004 Bronze NA <NA> 5000 metres
## 1037 2004 Bronze NA <NA> 10,000 metres
## 1038 2004 Bronze NA <NA>
## 1039 2004 Bronze 13.200 <NA> 110 metres hurdles
## 1040 2004 Bronze 48.260 <NA> 400 metres hurdles
## 1041 2004 Bronze NA <NA> 3000 metres steeplechase
## 1042 2004 Bronze NA <NA>
## 1043 2004 Bronze 38.230 <NA> 4×100 metres relay
## 1044 2004 Bronze NA <NA> 4×400 metres relay
## 1045 2004 Bronze NA <NA>
## 1046 2004 Bronze NA <NA> Marathon
## 1047 2004 Bronze NA <NA> 20 kilometres walk
## 1048 2004 Bronze NA <NA> 50 kilometres walk
## 1049 2004 Bronze NA <NA>
## 1050 2004 Bronze NA <NA> High jump
## 1051 2004 Bronze NA <NA> Pole vault
## 1052 2004 Bronze NA <NA> Long jump
## 1053 2004 Bronze NA <NA> Triple jump
## 1054 2004 Bronze NA <NA> Shot put [a]
## 1055 2004 Bronze NA <NA> Discus throw
## 1056 2004 Bronze NA <NA> Hammer throw [b]
## 1057 2004 Bronze NA <NA> Javelin throw
## 1058 2004 Bronze NA <NA>
## 1059 2004 Bronze 8725.000 <NA> Decathlon
## 1060 2000 Bronze 10.040 <NA> 100 metres
## 1061 2000 Bronze 20.200 <NA> 200 metres
## 1062 2000 Bronze 44.700 <NA> 400 metres
## 1063 2000 Bronze NA <NA> 800 metres
## 1064 2000 Bronze NA <NA> 1500 metres
## 1065 2000 Bronze NA <NA> 5000 metres
## 1066 2000 Bronze NA <NA> 10,000 metres
## 1067 2000 Bronze 13.220 <NA> 110 metres hurdles
## 1068 2000 Bronze 47.810 <NA> 400 metres hurdles
## 1069 2000 Bronze NA <NA> 3000 metressteeplechase
## 1070 2000 Bronze 38.040 <NA> 4×100 metres relay
## 1071 2000 Bronze NA <NA> 4×400 metres relay
## 1072 2000 Bronze NA <NA> Marathon
## 1073 2000 Bronze NA <NA> 20 kilometres walk
## 1074 2000 Bronze NA <NA> 50 kilometres walk
## 1075 2000 Bronze NA <NA> High jump
## 1076 2000 Bronze NA <NA> Pole vault
## 1077 2000 Bronze NA <NA> Long jump
## 1078 2000 Bronze NA <NA> Triple jump
## 1079 2000 Bronze NA <NA> Shot put
## 1080 2000 Bronze NA <NA> Discus throw
## 1081 2000 Bronze NA <NA> Hammer throw
## 1082 2000 Bronze NA <NA> Javelin throw
## 1083 2000 Bronze 8595.000 <NA> Decathlon
## 1084 1996 Bronze 9.900 <NA> 100 metres
## 1085 1996 Bronze 19.800 <NA> 200 metres
## 1086 1996 Bronze 44.530 <NA> 400 metres
## 1087 1996 Bronze NA <NA> 800 metres
## 1088 1996 Bronze NA <NA> 1500 metres
## 1089 1996 Bronze NA <NA> 5000 metres
## 1090 1996 Bronze NA <NA> 10,000 metres
## 1091 1996 Bronze 13.170 <NA> 110 metres hurdles
## 1092 1996 Bronze 47.960 <NA> 400 metres hurdles
## 1093 1996 Bronze NA <NA> 3000 metres steeplechase
## 1094 1996 Bronze 38.410 <NA> 4×100 metres relay
## 1095 1996 Bronze NA <NA> 4×400 metres relay
## 1096 1996 Bronze NA <NA> Marathon
## 1097 1996 Bronze NA <NA> 20 kilometres walk
## 1098 1996 Bronze NA <NA> 50 kilometres walk
## 1099 1996 Bronze 2.350 <NA> High jump
## 1100 1996 Bronze 5.920 <NA> Pole vault
## 1101 1996 Bronze 8.240 <NA> Long jump
## 1102 1996 Bronze 17.440 <NA> Triple jump
## 1103 1996 Bronze 20.750 <NA> Shot put
## 1104 1996 Bronze 65.800 <NA> Discus throw
## 1105 1996 Bronze 80.020 <NA> Hammer throw
## 1106 1996 Bronze 86.980 <NA> Javelin throw
## 1107 1996 Bronze 8664.000 <NA> Decathlon
## 1108 1992 Bronze 10.040 <NA> 100 metres
## 1109 1992 Bronze 20.380 <NA> 200 metres
## 1110 1992 Bronze 44.240 <NA> 400 metres
## 1111 1992 Bronze NA <NA> 800 metres
## 1112 1992 Bronze NA <NA> 1500 metres
## 1113 1992 Bronze NA <NA> 5000 metres
## 1114 1992 Bronze NA <NA> 10,000 metres
## 1115 1992 Bronze 13.260 <NA> 110 metres hurdles
## 1116 1992 Bronze 47.820 <NA> 400 metres hurdles
## 1117 1992 Bronze NA <NA> 3000 metres steeplechase
## 1118 1992 Bronze 38.000 <NA> 4×100 metres relay
## 1119 1992 Bronze NA <NA> 4×400 metres relay
## 1120 1992 Bronze NA <NA> Marathon
## 1121 1992 Bronze NA <NA> 20 kilometres walk
## 1122 1992 Bronze NA <NA> 50 kilometres walk
## 1123 1992 Bronze NA <NA> High jump
## 1124 1992 Bronze NA <NA> High jump
## 1125 1992 Bronze NA <NA> High jump
## 1126 1992 Bronze NA <NA> Pole vault
## 1127 1992 Bronze NA <NA> Long jump
## 1128 1992 Bronze NA <NA> Triple jump
## 1129 1992 Bronze NA <NA> Shot put
## 1130 1992 Bronze NA <NA> Discus throw
## 1131 1992 Bronze NA <NA> Hammer throw
## 1132 1992 Bronze NA <NA> Javelin throw
## 1133 1992 Bronze 8309.000 <NA> Decathlon
## 1134 1988 Bronze 9.990 <NA> 100 metres
## 1135 1988 Bronze 20.040 <NA> 200 metres
## 1136 1988 Bronze 44.090 <NA> 400 metres
## 1137 1988 Bronze NA <NA> 800 metres
## 1138 1988 Bronze NA <NA> 1500 metres
## 1139 1988 Bronze NA <NA> 5000 metres
## 1140 1988 Bronze NA <NA> 10,000 metres
## 1141 1988 Bronze 13.380 <NA> 110 metres hurdles
## 1142 1988 Bronze 47.560 <NA> 400 metres hurdles
## 1143 1988 Bronze NA <NA> 3000 metres steeplechase
## 1144 1988 Bronze 38.400 <NA> 4×100 metres relay
## 1145 1988 Bronze NA <NA> 4×400 metres relay
## 1146 1988 Bronze NA <NA> Marathon
## 1147 1988 Bronze NA <NA> 20 kilometres walk
## 1148 1988 Bronze NA <NA> 50 kilometres walk
## 1149 1988 Bronze NA <NA> High jump
## 1150 1988 Bronze NA <NA> High jump
## 1151 1988 Bronze NA <NA> Pole vault
## 1152 1988 Bronze NA <NA> Long jump
## 1153 1988 Bronze NA <NA> Triple jump
## 1154 1988 Bronze NA <NA> Shot put
## 1155 1988 Bronze NA <NA> Discus throw
## 1156 1988 Bronze NA <NA> Hammer throw
## 1157 1988 Bronze NA <NA> Javelin throw
## 1158 1988 Bronze 8328.000 <NA> Decathlon
## 1159 1984 Bronze 10.220 <NA> 100 metres
## 1160 1984 Bronze 20.260 <NA> 200 metres
## 1161 1984 Bronze 44.710 <NA> 400 metres
## 1162 1984 Bronze NA <NA> 800 metres
## 1163 1984 Bronze NA <NA> 1500 metres
## 1164 1984 Bronze NA <NA> 5000 metres
## 1165 1984 Bronze NA <NA> 10,000 metres
## 1166 1984 Bronze 13.400 <NA> 110 metres hurdles
## 1167 1984 Bronze 48.190 <NA> 400 metres hurdles
## 1168 1984 Bronze NA <NA> 3000 metres steeplechase
## 1169 1984 Bronze 38.700 <NA> 4×100 metres relay
## 1170 1984 Bronze NA <NA> 4×400 metres relay
## 1171 1984 Bronze NA <NA> Marathon
## 1172 1984 Bronze NA <NA> 20 kilometres walk
## 1173 1984 Bronze NA <NA> 50 kilometres walk
## 1174 1984 Bronze NA <NA> High jump
## 1175 1984 Bronze NA <NA> Pole vault
## 1176 1984 Bronze NA <NA> Pole vault
## 1177 1984 Bronze NA <NA> Long jump
## 1178 1984 Bronze NA <NA> Triple jump
## 1179 1984 Bronze NA <NA> Shot put
## 1180 1984 Bronze NA <NA> Discus throw
## 1181 1984 Bronze NA <NA> Hammer throw
## 1182 1984 Bronze NA <NA> Javelin throw
## 1183 1984 Bronze 8412.000 <NA> Decathlon
## 1184 1980 Bronze 10.390 <NA> 100 metres
## 1185 1980 Bronze 20.290 <NA> 200 metres
## 1186 1980 Bronze 44.870 <NA> 400 metres
## 1187 1980 Bronze NA <NA> 800 metres
## 1188 1980 Bronze NA <NA> 1500 metres
## 1189 1980 Bronze NA <NA> 5000 metres
## 1190 1980 Bronze NA <NA> 10,000 metres
## 1191 1980 Bronze 13.440 <NA> 110 metres hurdles
## 1192 1980 Bronze 49.110 <NA> 400 metres hurdles
## 1193 1980 Bronze NA <NA> 3000 metres steeplechase
## 1194 1980 Bronze 38.530 <NA> 4×100 metres relay
## 1195 1980 Bronze NA <NA> 4×400 metres relay
## 1196 1980 Bronze NA <NA> Marathon
## 1197 1980 Bronze NA <NA> 20 kilometres walk
## 1198 1980 Bronze NA <NA> 50 kilometres walk
## 1199 1980 Bronze NA <NA> High jump
## 1200 1980 Bronze NA <NA> Pole vault
## 1201 1980 Bronze NA <NA> Long jump
## 1202 1980 Bronze NA <NA> Triple jump
## 1203 1980 Bronze NA <NA> Shot put
## 1204 1980 Bronze NA <NA> Discus throw
## 1205 1980 Bronze NA <NA> Hammer throw
## 1206 1980 Bronze NA <NA> Javelin throw
## 1207 1980 Bronze 8135.000 <NA> Decathlon
## 1208 1976 Bronze 10.140 <NA> 100 metres
## 1209 1976 Bronze 20.430 <NA> 200 metres
## 1210 1976 Bronze 44.950 <NA> 400 metres
## 1211 1976 Bronze NA <NA> 800 metres
## 1212 1976 Bronze NA <NA> 1500 metres
## 1213 1976 Bronze NA <NA> 5000 metres
## 1214 1976 Bronze NA <NA> 10,000 metres
## 1215 1976 Bronze 13.380 <NA> 110 metres hurdles
## 1216 1976 Bronze 49.450 <NA> 400 metres hurdles
## 1217 1976 Bronze NA <NA> 3000 metres steeplechase
## 1218 1976 Bronze 38.780 <NA> 4×100 metres relay
## 1219 1976 Bronze NA <NA> 4×400 metres relay
## 1220 1976 Bronze NA <NA> Marathon
## 1221 1976 Bronze NA <NA> 20 kilometres walk
## 1222 1976 Bronze NA <NA> High jump
## 1223 1976 Bronze NA <NA> Pole vault
## 1224 1976 Bronze NA <NA> Long jump
## 1225 1976 Bronze NA <NA> Triple jump
## 1226 1976 Bronze NA <NA> Shot put
## 1227 1976 Bronze NA <NA> Discus throw
## 1228 1976 Bronze NA <NA> Hammer throw
## 1229 1976 Bronze NA <NA> Javelin throw
## 1230 1976 Bronze 8369.000 <NA> Decathlon
## 1231 1972 Bronze 10.330 <NA> 100 metres
## 1232 1972 Bronze 20.300 <NA> 200 metres
## 1233 1972 Bronze 44.920 <NA> 400 metres
## 1234 1972 Bronze NA <NA> 800 metres
## 1235 1972 Bronze NA <NA> 1500 metres
## 1236 1972 Bronze NA <NA> 5000 metres
## 1237 1972 Bronze NA <NA> 10,000 metres
## 1238 1972 Bronze 13.480 <NA> 110 metres hurdles
## 1239 1972 Bronze 48.520 <NA> 400 metres hurdles
## 1240 1972 Bronze NA <NA> 3000 metres steeplechase
## 1241 1972 Bronze 38.790 <NA> 4×100 metres relay
## 1242 1972 Bronze NA <NA> 4×400 metres relay
## 1243 1972 Bronze NA <NA> Marathon
## 1244 1972 Bronze NA <NA> 20 kilometres walk
## 1245 1972 Bronze NA <NA> 50 kilometres walk
## 1246 1972 Bronze 2.210 <NA> High jump
## 1247 1972 Bronze 5.350 <NA> Pole vault
## 1248 1972 Bronze 8.030 <NA> Long jump
## 1249 1972 Bronze 17.050 <NA> Triple jump
## 1250 1972 Bronze 21.140 <NA> Shot put
## 1251 1972 Bronze 63.400 <NA> Discus throw
## 1252 1972 Bronze 74.040 <NA> Hammer throw
## 1253 1972 Bronze 84.420 <NA> Javelin throw
## 1254 1972 Bronze 7984.000 <NA> Decathlon
## 1255 1968 Bronze 10.070 <NA> 100 metres
## 1256 1968 Bronze 20.100 <NA> 200 metres
## 1257 1968 Bronze 44.410 <NA> 400 metres
## 1258 1968 Bronze NA <NA> 800 metres
## 1259 1968 Bronze NA <NA> 1500 metres
## 1260 1968 Bronze NA <NA> 5000 metres
## 1261 1968 Bronze NA <NA> 10,000 metres
## 1262 1968 Bronze 13.460 <NA> 110 metres hurdles
## 1263 1968 Bronze 49.030 <NA> 400 metres hurdles
## 1264 1968 Bronze NA <NA> 3000 metres steeplechase
## 1265 1968 Bronze 38.430 <NA> 4×100 metres relay
## 1266 1968 Bronze NA <NA> 4×400 metres relay
## 1267 1968 Bronze NA <NA> Marathon
## 1268 1968 Bronze NA <NA> 20 kilometres walk
## 1269 1968 Bronze NA <NA> 50 kilometres walk
## 1270 1968 Bronze 2.200 <NA> High jump
## 1271 1968 Bronze 5.400 <NA> Pole vault
## 1272 1968 Bronze 8.160 <NA> Long jump
## 1273 1968 Bronze 17.220 <NA> Triple jump
## 1274 1968 Bronze 20.090 <NA> Shot put
## 1275 1968 Bronze 62.920 <NA> Discus throw
## 1276 1968 Bronze 69.780 <NA> Hammer throw
## 1277 1968 Bronze 87.060 <NA> Javelin throw
## 1278 1968 Bronze 8064.000 <NA> Decathlon
## 1279 1964 Bronze 10.200 <NA> 100 metres
## 1280 1964 Bronze 20.600 <NA> 200 metres
## 1281 1964 Bronze 45.600 <NA> 400 metres
## 1282 1964 Bronze NA <NA> 800 metres
## 1283 1964 Bronze NA <NA> 1500 metres
## 1284 1964 Bronze NA <NA> 5000 metres
## 1285 1964 Bronze NA <NA> 10,000 metres
## 1286 1964 Bronze 13.780 <NA> 110 metres hurdles
## 1287 1964 Bronze 50.100 <NA> 400 metres hurdles
## 1288 1964 Bronze NA <NA> 3000 metres steeplechase
## 1289 1964 Bronze 39.300 <NA> 4×100 metres relay
## 1290 1964 Bronze NA <NA> 4×400 metres relay
## 1291 1964 Bronze NA <NA> Marathon
## 1292 1964 Bronze NA <NA> 20 kilometres walk
## 1293 1964 Bronze NA <NA> 50 kilometres walk
## 1294 1964 Bronze 2.160 <NA> High jump
## 1295 1964 Bronze 5.000 <NA> Pole vault
## 1296 1964 Bronze 7.990 <NA> Long jump
## 1297 1964 Bronze 16.570 <NA> Triple jump
## 1298 1964 Bronze 19.390 <NA> Shot put
## 1299 1964 Bronze 59.490 <NA> Discus throw
## 1300 1964 Bronze 68.090 <NA> Hammer throw
## 1301 1964 Bronze 80.570 <NA> Javelin throw
## 1302 1964 Bronze 7809.000 <NA> Decathlon
## 1303 1960 Bronze 10.300 <NA> 100 metres
## 1304 1960 Bronze 20.700 <NA> 200 metres
## 1305 1960 Bronze 45.500 <NA> 400 metres
## 1306 1960 Bronze NA <NA> 800 metres
## 1307 1960 Bronze NA <NA> 1500 metres
## 1308 1960 Bronze NA <NA> 5000 metres
## 1309 1960 Bronze NA <NA> 10,000 metres
## 1310 1960 Bronze 14.000 <NA> 110 metres hurdles
## 1311 1960 Bronze 49.700 <NA> 400 metres hurdles
## 1312 1960 Bronze NA <NA> 3000 metres steeplechase
## 1313 1960 Bronze 40.200 <NA> 4×100 metres relay
## 1314 1960 Bronze NA <NA> 4×400 metres relay
## 1315 1960 Bronze NA <NA> Marathon
## 1316 1960 Bronze NA <NA> 20 kilometres walk
## 1317 1960 Bronze NA <NA> 50 kilometres walk
## 1318 1960 Bronze 2.140 <NA> High jump
## 1319 1960 Bronze 4.550 <NA> Pole vault
## 1320 1960 Bronze 8.040 <NA> Long jump
## 1321 1960 Bronze 16.430 <NA> Triple jump
## 1322 1960 Bronze 19.010 <NA> Shot put
## 1323 1960 Bronze 57.160 <NA> Discus throw
## 1324 1960 Bronze 65.640 <NA> Hammer throw
## 1325 1960 Bronze 78.570 <NA> Javelin throw
## 1326 1960 Bronze 7809.000 <NA> Decathlon
## 1327 1956 Bronze 10.600 <NA> 100 metres
## 1328 1956 Bronze 20.900 <NA> 200 metres
## 1329 1956 Bronze 47.000 <NA> 400 metres
## 1330 1956 Bronze 47.000 <NA> 400 metres
## 1331 1956 Bronze NA <NA> 800 metres
## 1332 1956 Bronze NA <NA> 1500 metres
## 1333 1956 Bronze NA <NA> 5000 metres
## 1334 1956 Bronze NA <NA> 10,000 metres
## 1335 1956 Bronze 14.100 <NA> 110 metres hurdles
## 1336 1956 Bronze 51.600 <NA> 400 metres hurdles
## 1337 1956 Bronze NA <NA> 3000 metres steeplechase
## 1338 1956 Bronze 40.300 <NA> 4 × 100 metres relay
## 1339 1956 Bronze NA <NA> 4 × 400 metres relay
## 1340 1956 Bronze NA <NA> Marathon
## 1341 1956 Bronze NA <NA> 20 kilometres walk
## 1342 1956 Bronze NA <NA> 50 kilometres walk
## 1343 1956 Bronze 2.080 <NA> High jump
## 1344 1956 Bronze 4.500 <NA> Pole vault
## 1345 1956 Bronze 7.480 <NA> Long jump
## 1346 1956 Bronze 16.020 <NA> Triple jump
## 1347 1956 Bronze 17.650 <NA> Shot put
## 1348 1956 Bronze 54.400 <NA> Discus throw
## 1349 1956 Bronze 62.560 <NA> Hammer throw
## 1350 1956 Bronze 79.500 <NA> Javelin throw
## 1351 1956 Bronze 7465.000 <NA> Decathlon
## 1352 1952 Bronze 10.400 <NA> 100 metres
## 1353 1952 Bronze 20.800 <NA> 200 metres
## 1354 1952 Bronze 46.800 <NA> 400 metres
## 1355 1952 Bronze NA <NA> 800 metres
## 1356 1952 Bronze NA <NA> 1500 metres
## 1357 1952 Bronze NA <NA> 5000 metres
## 1358 1952 Bronze NA <NA> 10,000 metres
## 1359 1952 Bronze 14.100 <NA> 110 metres hurdles
## 1360 1952 Bronze 52.200 <NA> 400 metres hurdles
## 1361 1952 Bronze NA <NA> 3000 metres steeplechase
## 1362 1952 Bronze 40.500 <NA> 4 × 100 metres relay
## 1363 1952 Bronze NA <NA> 4 × 400 metres relay
## 1364 1952 Bronze NA <NA> Marathon
## 1365 1952 Bronze NA <NA> 10 kilometres walk
## 1366 1952 Bronze NA <NA> 50 kilometres walk
## 1367 1952 Bronze NA <NA> High jump
## 1368 1952 Bronze NA <NA> Pole vault
## 1369 1952 Bronze NA <NA> Long jump
## 1370 1952 Bronze 15.520 <NA> Triple jump
## 1371 1952 Bronze NA <NA> Shot put
## 1372 1952 Bronze NA <NA> Discus throw
## 1373 1952 Bronze 57.740 <NA> Hammer throw
## 1374 1952 Bronze NA <NA> Javelin throw
## 1375 1952 Bronze NA <NA> Decathlon
## 1376 1948 Bronze 10.600 <NA> 100 metres
## 1377 1948 Bronze 21.200 <NA> 200 metres
## 1378 1948 Bronze 46.800 <NA> 400 metres
## 1379 1948 Bronze NA <NA> 800 metres
## 1380 1948 Bronze NA <NA> 1500 metres
## 1381 1948 Bronze NA <NA> 5000 metres
## 1382 1948 Bronze NA <NA> 10,000 metres
## 1383 1948 Bronze 14.100 <NA> 110 metres hurdles
## 1384 1948 Bronze 52.200 <NA> 400 metres hurdles
## 1385 1948 Bronze NA <NA> 3000 metres steeplechase
## 1386 1948 Bronze 41.500 <NA> 4 × 100 metres relay
## 1387 1948 Bronze NA <NA> 4 × 400 metres relay
## 1388 1948 Bronze NA <NA> Marathon
## 1389 1948 Bronze NA <NA> 10 kilometres walk
## 1390 1948 Bronze NA <NA> 50 kilometres walk
## 1391 1948 Bronze 1.950 <NA> High jump
## 1392 1948 Bronze 4.200 <NA> Pole vault
## 1393 1948 Bronze 7.540 <NA> Long jump
## 1394 1948 Bronze 15.020 <NA> Triple jump
## 1395 1948 Bronze 16.420 <NA> Shot put
## 1396 1948 Bronze 50.770 <NA> Discus throw
## 1397 1948 Bronze 53.730 <NA> Hammer throw
## 1398 1948 Bronze 67.030 <NA> Javelin throw
## 1399 1948 Bronze 6950.000 <NA> Decathlon
## 1400 1936 Bronze 10.500 <NA> 100 metres
## 1401 1936 Bronze 21.300 <NA> 200 metres
## 1402 1936 Bronze 46.800 <NA> 400 metres
## 1403 1936 Bronze NA <NA> 800 metres
## 1404 1936 Bronze NA <NA> 1500 metres
## 1405 1936 Bronze NA <NA> 5000 metres
## 1406 1936 Bronze NA <NA> 10,000 metres
## 1407 1936 Bronze 14.400 <NA> 110 metres hurdles
## 1408 1936 Bronze 52.800 <NA> 400 metres hurdles
## 1409 1936 Bronze NA <NA> 3000 metres steeplechase
## 1410 1936 Bronze 41.200 <NA> 4 × 100 meters relay
## 1411 1936 Bronze NA <NA> 4 × 400 meters relay
## 1412 1936 Bronze NA <NA> Marathon
## 1413 1936 Bronze NA <NA> 50 kilometres walk
## 1414 1936 Bronze 2.000 <NA> High jump
## 1415 1936 Bronze 4.250 <NA> Pole vault
## 1416 1936 Bronze 7.740 <NA> Long jump
## 1417 1936 Bronze 15.500 <NA> Triple jump
## 1418 1936 Bronze 15.660 <NA> Shot put
## 1419 1936 Bronze 49.230 <NA> Discus throw
## 1420 1936 Bronze 54.830 <NA> Hammer throw
## 1421 1936 Bronze 70.720 <NA> Javelin throw
## 1422 1936 Bronze 7275.000 <NA> Decathlon
## Name
## 1 Usain Bolt
## 2 Usain Bolt
## 3 Wayde van
## 4 David Rudisha
## 5 Matthew Centrowitz
## 6 Mo Farah
## 7 Mo Farah
## 8 NA
## 9 Omar McLeod
## 10 Kerron Clement
## 11 Conseslus Kipruto
## 12 NA
## 13 Jamaica (JAM)Asafa
## 14 United States
## 15 NA
## 16 Eliud Kipchoge
## 17 Wang Zhen
## 18 Matej Tóth
## 19 NA
## 20 Derek Drouin
## 21 Thiago Braz
## 22 Jeff Henderson
## 23 Christian Taylor
## 24 Ryan Crouser
## 25 Christoph Harting
## 26 Dilshod Nazarov
## 27 Thomas Röhler
## 28 NA
## 29 Ashton Eaton
## 30 Usain Bolt
## 31 Usain Bolt
## 32 Kirani James
## 33 David Rudisha
## 34 Taoufik Makhloufi
## 35 Mo Farah
## 36 Mo Farah
## 37 NA
## 38 Aries Merritt
## 39 Félix Sánchez
## 40 Ezekiel Kemboi
## 41 NA
## 42 Jamaica (JAM)Nesta
## 43 Bahamas (BAH)Chris
## 44 NA
## 45 Stephen Kiprotich
## 46 Chen Ding
## 47 Jared Tallent
## 48 NA
## 49 Erik Kynard
## 50 Renaud Lavillenie
## 51 Greg Rutherford
## 52 Christian Taylor
## 53 Tomasz Majewski
## 54 Robert Harting
## 55 Krisztián Pars
## 56 Keshorn Walcott
## 57 NA
## 58 Ashton Eaton
## 59 Usain Bolt
## 60 Usain Bolt
## 61 LaShawn Merritt
## 62 Wilfred Bungei
## 63 Asbel Kipruto
## 64 Kenenisa Bekele
## 65 Kenenisa Bekele
## 66 Dayron Robles
## 67 Angelo Taylor
## 68 Brimin Kiprop
## 69 Trinidad and
## 70 United StatesLaShawn
## 71 Samuel Wanjiru
## 72 Valeriy Borchin
## 73 Alex Schwazer
## 74 Andrey Silnov
## 75 Steven Hooker
## 76 Irving Saladino
## 77 Nelson Évora
## 78 Tomasz Majewski
## 79 Gerd Kanter
## 80 Primož Kozmus
## 81 Andreas Thorkildsen
## 82 Bryan Clay
## 83 Justin Gatlin
## 84 Shawn Crawford
## 85 Jeremy Wariner
## 86 Yuriy Borzakovskiy
## 87 Hicham El
## 88 Hicham El
## 89 Kenenisa Bekele
## 90 NA
## 91 Liu Xiang
## 92 Félix Sánchez
## 93 Ezekiel Kemboi
## 94 NA
## 95 Great BritainJason
## 96 United StatesOtis
## 97 NA
## 98 Stefano Baldini
## 99 Ivano Brugnetti
## 100 Robert Korzeniowski
## 101 NA
## 102 Stefan Holm
## 103 Timothy Mack
## 104 Dwight Phillips
## 105 Christian Olsson
## 106 Adam Nelson
## 107 Virgilijus Alekna
## 108 Koji Murofushi
## 109 Andreas Thorkildsen
## 110 NA
## 111 Roman Šebrle
## 112 Maurice Greene
## 113 Konstantinos Kenteris
## 114 Michael Johnson
## 115 Nils Schumann
## 116 Noah Ngeny
## 117 Million Wolde
## 118 Haile Gebrselassie
## 119 Anier Garcia
## 120 Angelo Taylor
## 121 Reuben Kosgei
## 122 United States
## 123 Nigeria (NGR)Clement
## 124 Gezahegne Abera
## 125 Robert Korzeniowski
## 126 Robert Korzeniowski
## 127 Sergey Klyugin
## 128 Nick Hysong
## 129 Iván Pedroso
## 130 Jonathan Edwards
## 131 Arsi Harju
## 132 Virgilijus Alekna
## 133 Szymon Ziółkowski
## 134 Jan Železný
## 135 Erki Nool
## 136 Donovan Bailey
## 137 Michael Johnson
## 138 Michael Johnson
## 139 Vebjørn Rodal
## 140 Noureddine Morceli
## 141 Vénuste Niyongabo
## 142 Haile Gebrselassie
## 143 Allen Johnson
## 144 Derrick Adkins
## 145 Joseph Keter
## 146 Canada (CAN)Robert
## 147 United States
## 148 Josia Thugwane
## 149 Jefferson Pérez
## 150 Robert Korzeniowski
## 151 Charles Austin
## 152 Jean Galfione
## 153 Carl Lewis
## 154 Kenny Harrison
## 155 Randy Barnes
## 156 Lars Riedel
## 157 Balázs Kiss
## 158 Jan Železný
## 159 Dan O'Brien
## 160 Linford Christie
## 161 Michael Marsh
## 162 Quincy Watts
## 163 William Tanui
## 164 Fermín Cacho
## 165 Dieter Baumann
## 166 Khalid Skah
## 167 Mark McKoy
## 168 Kevin Young
## 169 Matthew Birir
## 170 United States
## 171 United States
## 172 Hwang Young-Cho
## 173 Daniel Plaza
## 174 Andrey Perlov
## 175 Javier Sotomayor
## 176 Javier Sotomayor
## 177 Javier Sotomayor
## 178 Maksim Tarasov
## 179 Carl Lewis
## 180 Mike Conley
## 181 Mike Stulce
## 182 Romas Ubartas
## 183 Andrey Abduvaliyev
## 184 Jan Železný
## 185 Robert Změlík
## 186 Carl Lewis
## 187 Joe DeLoach
## 188 Steve Lewis
## 189 Paul Ereng
## 190 Peter Rono
## 191 John Ngugi
## 192 Brahim Boutayeb
## 193 Roger Kingdom
## 194 Andre Phillips
## 195 Julius Kariuki
## 196 Soviet Union
## 197 United States
## 198 Gelindo Bordin
## 199 Jozef Pribilinec
## 200 Vyacheslav Ivanenko
## 201 Hennadiy Avdyeyenko
## 202 Hennadiy Avdyeyenko
## 203 Sergey Bubka
## 204 Carl Lewis
## 205 Khristo Markov
## 206 Ulf Timmermann
## 207 Jürgen Schult
## 208 Sergey Litvinov
## 209 Tapio Korjus
## 210 Christian Schenk
## 211 Carl Lewis
## 212 Carl Lewis
## 213 Alonzo Babers
## 214 Joaquim Cruz
## 215 Sebastian Coe
## 216 Saïd Aouita
## 217 Alberto Cova
## 218 Roger Kingdom
## 219 Edwin Moses
## 220 Julius Korir
## 221 United States
## 222 United States
## 223 Carlos Lopes
## 224 Ernesto Canto
## 225 Raúl González
## 226 Dietmar Mögenburg
## 227 Pierre Quinon
## 228 Pierre Quinon
## 229 Carl Lewis
## 230 Al Joyner
## 231 Alessandro Andrei
## 232 Rolf Danneberg
## 233 Juha Tiainen
## 234 Arto Härkönen
## 235 Daley Thompson
## 236 Allan Wells
## 237 Pietro Mennea
## 238 Viktor Markin
## 239 Steve Ovett
## 240 Sebastian Coe
## 241 Miruts Yifter
## 242 Miruts Yifter
## 243 Thomas Munkelt
## 244 Volker Beck
## 245 Bronisław Malinowski
## 246 Soviet Union
## 247 Soviet Union
## 248 Waldemar Cierpinski
## 249 Maurizio Damilano
## 250 Hartwig Gauder
## 251 Gerd Wessig
## 252 Władysław Kozakiewicz
## 253 Lutz Dombrowski
## 254 Jaak Uudmäe
## 255 Vladimir Kiselyov
## 256 Viktor Rashchupkin
## 257 Yuriy Sedykh
## 258 Dainis Kūla
## 259 Daley Thompson
## 260 Hasely Crawford
## 261 Don Quarrie
## 262 Alberto Juantorena
## 263 Alberto Juantorena
## 264 John Walker
## 265 Lasse Virén
## 266 Lasse Virén
## 267 Guy Drut
## 268 Edwin Moses
## 269 Anders Gärderud
## 270 United States
## 271 United States
## 272 Waldemar Cierpinski
## 273 Daniel Bautista
## 274 Jacek Wszoła
## 275 Tadeusz Ślusarski
## 276 Arnie Robinson
## 277 Viktor Saneyev
## 278 Udo Beyer
## 279 Mac Wilkins
## 280 Yuriy Sedykh
## 281 Miklós Németh
## 282 Caitlyn Jenner
## 283 Valeriy Borzov
## 284 Valeriy Borzov
## 285 Vincent Matthews
## 286 Dave Wottle
## 287 Pekka Vasala
## 288 Lasse Virén
## 289 Lasse Virén
## 290 Rod Milburn
## 291 John Akii-Bua
## 292 Kipchoge Keino
## 293 United States
## 294 Kenya (KEN)Charles
## 295 Frank Shorter
## 296 Peter Frenkel
## 297 Bernd Kannenberg
## 298 Jüri Tarmak
## 299 Wolfgang Nordwig
## 300 Randy Williams
## 301 Viktor Saneyev
## 302 Władysław Komar
## 303 Ludvík Daněk
## 304 Anatoliy Bondarchuk
## 305 Klaus Wolfermann
## 306 Mykola Avilov
## 307 Jim Hines
## 308 Tommie Smith
## 309 Lee Evans
## 310 Ralph Doubell
## 311 Kipchoge Keino
## 312 Mohammed Gammoudi
## 313 Naftali Temu
## 314 Willie Davenport
## 315 David Hemery
## 316 Amos Biwott
## 317 United States
## 318 United States
## 319 Mamo Wolde
## 320 Volodymyr Holubnychy
## 321 Christoph Höhne
## 322 Dick Fosbury
## 323 Bob Seagren
## 324 Bob Beamon
## 325 Viktor Saneyev
## 326 Randy Matson
## 327 Al Oerter
## 328 Gyula Zsivótzky
## 329 Jānis Lūsis
## 330 Bill Toomey
## 331 Bob Hayes
## 332 Henry Carr
## 333 Mike Larrabee
## 334 Peter Snell
## 335 Peter Snell
## 336 Bob Schul
## 337 Billy Mills
## 338 Hayes Jones
## 339 Rex Cawley
## 340 Gaston Roelants
## 341 United States
## 342 United States
## 343 Abebe Bikila
## 344 Ken Matthews
## 345 Abdon Pamich
## 346 Valeriy Brumel
## 347 Fred Hansen
## 348 Lynn Davies
## 349 Józef Szmidt
## 350 Dallas Long
## 351 Al Oerter
## 352 Romuald Klim
## 353 Pauli Nevala
## 354 Willi Holdorf
## 355 Armin Hary
## 356 Livio Berruti
## 357 Otis Davis
## 358 Peter Snell
## 359 Herb Elliott
## 360 Murray Halberg
## 361 Pyotr Bolotnikov
## 362 Lee Calhoun
## 363 Glenn Davis
## 364 Zdzisław Krzyszkowiak
## 365 United Team
## 366 United States
## 367 Abebe Bikila
## 368 Vladimir Golubnichy
## 369 Don Thompson
## 370 Robert Shavlakadze
## 371 Don Bragg
## 372 Ralph Boston
## 373 Józef Szmidt
## 374 Bill Nieder
## 375 Al Oerter
## 376 Vasili Rudenkov
## 377 Viktor Tsybulenko
## 378 Rafer Johnson
## 379 Bobby Morrow
## 380 Bobby Morrow
## 381 Charles Jenkins
## 382 Charles Jenkins
## 383 Tom Courtney
## 384 Ron Delany
## 385 Vladimir Kuts
## 386 Vladimir Kuts
## 387 Lee Calhoun
## 388 Glenn Davis
## 389 Chris Brasher
## 390 United States
## 391 United States
## 392 Alain Mimoun
## 393 Leonid Spirin
## 394 Norman Read
## 395 Charles Dumas
## 396 Bob Richards
## 397 Greg Bell
## 398 Adhemar da
## 399 Parry O'Brien
## 400 Al Oerter
## 401 Harold Connolly
## 402 Egil Danielsen
## 403 Milt Campbell
## 404 Lindy Remigino
## 405 Andy Stanfield
## 406 George Rhoden
## 407 Mal Whitfield
## 408 Josy Barthel
## 409 Emil Zátopek
## 410 Emil Zátopek
## 411 Harrison Dillard
## 412 Charles Moore
## 413 Horace Ashenfelter
## 414 United States
## 415 Jamaica (JAM)Arthur
## 416 Emil Zátopek
## 417 John Mikaelsson
## 418 Giuseppe Dordoni
## 419 Walt Davis
## 420 Bob Richards
## 421 Jerome Biffle
## 422 Adhemar da
## 423 Parry O'Brien
## 424 Sim Iness
## 425 József Csermák
## 426 Cy Young
## 427 Bob Mathias
## 428 Harrison Dillard
## 429 Mel Patton
## 430 Arthur Wint
## 431 Mal Whitfield
## 432 Henry Eriksson
## 433 Gaston Reiff
## 434 Emil Zátopek
## 435 William Porter
## 436 Roy Cochran
## 437 Tore Sjöstrand
## 438 United States
## 439 United States
## 440 Delfo Cabrera
## 441 John Mikaelsson
## 442 John Ljunggren
## 443 John Winter
## 444 Guinn Smith
## 445 Willie Steele
## 446 Arne Åhman
## 447 Wilbur Thompson
## 448 Adolfo Consolini
## 449 Imre Németh
## 450 Tapio Rautavaara
## 451 Bob Mathias
## 452 Jesse Owens
## 453 Jesse Owens
## 454 Archie Williams
## 455 John Woodruff
## 456 Jack Lovelock
## 457 Gunnar Höckert
## 458 Ilmari Salminen
## 459 Forrest Towns
## 460 Glenn Hardin
## 461 Volmari Iso-Hollo
## 462 United States
## 463 Great Britain
## 464 Son Kitei
## 465 Harold Whitlock
## 466 Cornelius Johnson
## 467 Earle Meadows
## 468 Jesse Owens
## 469 Naoto Tajima
## 470 Hans Woellke
## 471 Ken Carpenter
## 472 Karl Hein
## 473 Gerhard Stöck
## 474 Glenn Morris
## 475 Justin Gatlin
## 476 Andre De
## 477 Kirani James
## 478 Taoufik Makhloufi
## 479 Taoufik Makhloufi
## 480 Paul Chelimo
## 481 Paul Tanui
## 482 NA
## 483 Orlando Ortega
## 484 Boniface Tumuti
## 485 Evan Jager
## 486 NA
## 487 Japan (JPN)Ryota
## 488 Jamaica (JAM)Peter
## 489 NA
## 490 Feyisa Lilesa
## 491 Cai Zelin
## 492 Jared Tallent
## 493 NA
## 494 Mutaz Essa
## 495 Renaud Lavillenie
## 496 Luvo Manyonga
## 497 Will Claye
## 498 Joe Kovacs
## 499 Piotr Małachowski
## 500 Ivan Tsikhan
## 501 Julius Yego
## 502 NA
## 503 Kévin Mayer
## 504 Yohan Blake
## 505 Yohan Blake
## 506 Luguelín Santos
## 507 Nijel Amos
## 508 Leonel Manzano
## 509 Dejen Gebremeskel
## 510 Galen Rupp
## 511 NA
## 512 Jason Richardson
## 513 Michael Tinsley
## 514 Mahiedine Benabbad
## 515 NA
## 516 Trinidad and
## 517 United States
## 518 NA
## 519 Abel Kirui
## 520 Érick Barrondo
## 521 Si Tianfeng
## 522 NA
## 523 Mutaz Essa
## 524 Björn Otto
## 525 Mitchell Watt
## 526 Will Claye
## 527 David Storl
## 528 Ehsan Haddadi
## 529 Primož Kozmus
## 530 Antti Ruuskanen
## 531 NA
## 532 Trey Hardee
## 533 Richard Thompson
## 534 Shawn Crawford
## 535 Jeremy Wariner
## 536 Ismail Ahmed
## 537 Nicholas Willis
## 538 Eliud Kipchoge
## 539 Sileshi Sihine
## 540 David Payne
## 541 Kerron Clement
## 542 Mahiedine Mekhissi-Benabbad
## 543 JapanNaoki TsukaharaShingo
## 544 BahamasAndretti BainMichael
## 545 Jaouad Gharib
## 546 Jefferson Pérez
## 547 Jared Tallent
## 548 Germaine Mason
## 549 Evgeny Lukyanenko
## 550 Khotso Mokoena
## 551 Phillips Idowu
## 552 Christian Cantwell
## 553 Piotr Małachowski
## 554 Vadim Devyatovskiy
## 555 Ainārs Kovals
## 556 Andrei Krauchanka
## 557 Francis Obikwelu
## 558 Bernard Williams
## 559 Otis Harris
## 560 Mbulaeni Mulaudzi
## 561 Bernard Lagat
## 562 Kenenisa Bekele
## 563 Sileshi Sihine
## 564 NA
## 565 Terrence Trammell
## 566 Danny McFarlane
## 567 Brimin Kipruto
## 568 NA
## 569 United StatesShawn
## 570 AustraliaJohn SteffensenMark
## 571 NA
## 572 Mebrahtom Keflezighi
## 573 Paquillo Fernández
## 574 Denis Nizhegorodov
## 575 NA
## 576 Matt Hemingway
## 577 Toby Stevenson
## 578 John Moffitt
## 579 Marian Oprea
## 580 Joachim Olsen
## 581 Zoltán Kővágó
## 582 None Awarded
## 583 Vadims Vasiļevskis
## 584 NA
## 585 Bryan Clay
## 586 Ato Boldon
## 587 Darren Campbell
## 588 Alvin Harrison
## 589 Wilson Kipketer
## 590 Hicham El
## 591 Ali Saïdi-Sief
## 592 Paul Tergat
## 593 Terrence Trammell
## 594 Hadi Al-Somaily
## 595 Wilson Boit
## 596 Brazil (BRA)Vicente
## 597 Jamaica (JAM)Michael
## 598 Erick Wainaina
## 599 Noé Hernández
## 600 Aigars Fadejevs
## 601 Javier Sotomayor
## 602 Lawrence Johnson
## 603 Jai Taurima
## 604 Yoel García
## 605 Adam Nelson
## 606 Lars Riedel
## 607 Nicola Vizzoni
## 608 Steve Backley
## 609 Roman Šebrle
## 610 Frankie Fredericks
## 611 Frankie Fredericks
## 612 Roger Black
## 613 Hezekiél Sepeng
## 614 Fermín Cacho
## 615 Paul Bitok
## 616 Paul Tergat
## 617 Mark Crear
## 618 Samuel Matete
## 619 Moses Kiptanui
## 620 United States
## 621 Great Britain
## 622 Lee Bong-Ju
## 623 Ilya Markov
## 624 Mikhail Shchennikov
## 625 Artur Partyka
## 626 Igor Trandenkov
## 627 James Beckford
## 628 Jonathan Edwards
## 629 John Godina
## 630 Vladimir Dubrovshchik
## 631 Lance Deal
## 632 Steve Backley
## 633 Frank Busemann
## 634 Frankie Fredericks
## 635 Frankie Fredericks
## 636 Steve Lewis
## 637 Nixon Kiprotich
## 638 Rachid El
## 639 Paul Bitok
## 640 Richard Chelimo
## 641 Tony Dees
## 642 Winthrop Graham
## 643 Patrick Sang
## 644 Nigeria (NGR)Oluyemi
## 645 Cuba (CUB)Lázaro
## 646 Koichi Morishita
## 647 Guillaume LeBlanc
## 648 Carlos Mercenario
## 649 Patrik Sjöberg
## 650 Patrik Sjöberg
## 651 Patrik Sjöberg
## 652 Igor Trandenkov
## 653 Mike Powell
## 654 Charles Simpkins
## 655 Jim Doehring
## 656 Jürgen Schult
## 657 Igor Astapkovich
## 658 Seppo Räty
## 659 Antonio Peñalver
## 660 Linford Christie
## 661 Carl Lewis
## 662 Butch Reynolds
## 663 Joaquim Cruz
## 664 Peter Elliott
## 665 Dieter Baumann
## 666 Salvatore Antibo
## 667 Colin Jackson
## 668 Amadou Dia
## 669 Peter Koech
## 670 Great Britain
## 671 Jamaica (JAM)Howard
## 672 Douglas Wakiihuri
## 673 Ronald Weigel
## 674 Ronald Weigel
## 675 Hollis Conway
## 676 Hollis Conway
## 677 Radion Gataullin
## 678 Mike Powell
## 679 Igor Lapshin
## 680 Randy Barnes
## 681 Romas Ubartas
## 682 Yuriy Sedykh
## 683 Jan Železný
## 684 Torsten Voss
## 685 Sam Graddy
## 686 Kirk Baptiste
## 687 Gabriel Tiacoh
## 688 Sebastian Coe
## 689 Steve Cram
## 690 Markus Ryffel
## 691 Mike McLeod
## 692 Greg Foster
## 693 Danny Harris
## 694 Joseph Mahmoud
## 695 Jamaica (JAM)Al
## 696 Great Britain
## 697 John Treacy
## 698 Raúl González
## 699 Bo Gustafsson
## 700 Patrik Sjöberg
## 701 Mike Tully
## 702 Mike Tully
## 703 Gary Honey
## 704 Mike Conley
## 705 Michael Carter
## 706 Mac Wilkins
## 707 Karl-Hans Riehm
## 708 David Ottley
## 709 Jürgen Hingsen
## 710 Silvio Leonard
## 711 Allan Wells
## 712 Rick Mitchell
## 713 Sebastian Coe
## 714 Jürgen Straub
## 715 Suleiman Nyambui
## 716 Kaarlo Maaninka
## 717 Alejandro Casañas
## 718 Vasyl Arkhypenko
## 719 Filbert Bayi
## 720 Poland (POL)Zenon
## 721 East Germany
## 722 Gerard Nijboer
## 723 Pyotr Pochynchuk
## 724 Jorge Llopart
## 725 Jacek Wszoła
## 726 Konstantin Volkov
## 727 Frank Paschek
## 728 Viktor Saneev
## 729 Aleksandr Baryshnikov
## 730 Imrich Bugár
## 731 Sergey Litvinov
## 732 Aleksandr Makarov
## 733 Yuriy Kutsenko
## 734 Don Quarrie
## 735 Millard Hampton
## 736 Fred Newhouse
## 737 Ivo van
## 738 Ivo van
## 739 Dick Quax
## 740 Carlos Lopes
## 741 Alejandro Casañas
## 742 Michael Shine
## 743 Bronisław Malinowski
## 744 East Germany
## 745 Poland (POL)Ryszard
## 746 Frank Shorter
## 747 Hans-Georg Reimann
## 748 Greg Joy
## 749 Antti Kalliomäki
## 750 Randy Williams
## 751 James Butts
## 752 Yevgeny Mironov
## 753 Wolfgang Schmidt
## 754 Aleksei Spiridonov
## 755 Hannu Siitonen
## 756 Guido Kratschmer
## 757 Robert Taylor
## 758 Larry Black
## 759 Wayne Collett
## 760 Yevhen Arzhanov
## 761 Kipchoge Keino
## 762 Mohammed Gammoudi
## 763 Emiel Puttemans
## 764 Guy Drut
## 765 Ralph Mann
## 766 Ben Jipcho
## 767 Soviet Union
## 768 Great Britain
## 769 Karel Lismont
## 770 Volodymyr Holubnychy
## 771 Veniamin Soldatenko
## 772 Stefan Junge
## 773 Robert Seagren
## 774 Hans Baumgartner
## 775 Jörg Drehmel
## 776 George Woods
## 777 Jay Silvester
## 778 Jochen Sachse
## 779 Jānis Lūsis
## 780 Leonid Lytvynenko
## 781 Lennox Miller
## 782 Peter Norman
## 783 Larry James
## 784 Wilson Kiprugut
## 785 Jim Ryun
## 786 Kipchoge Keino
## 787 Mamo Wolde
## 788 Ervin Hall
## 789 Gerhard Hennige
## 790 Benjamin Kogo
## 791 Cuba (CUB)Hermes
## 792 Kenya (KEN)Daniel
## 793 Kenji Kimihara
## 794 José Pedraza
## 795 Antal Kiss
## 796 Ed Caruthers
## 797 Claus Schiprowski
## 798 Klaus Beer
## 799 Nelson Prudêncio
## 800 George Woods
## 801 Lothar Milde
## 802 Romuald Klim
## 803 Jorma Kinnunen
## 804 Hans-Joachim Walde
## 805 Enrique Figuerola
## 806 Paul Drayton
## 807 Wendell Mottley
## 808 Bill Crothers
## 809 Josef Odložil
## 810 Harald Norpoth
## 811 Mohammed Gammoudi
## 812 Blaine Lindgren
## 813 John Cooper
## 814 Maurice Herriott
## 815 Poland (POL)Andrzej
## 816 Great Britain
## 817 Basil Heatley
## 818 Dieter Lindner
## 819 Paul Nihill
## 820 John Thomas
## 821 Wolfgang Reinhardt
## 822 Ralph Boston
## 823 Oleg Fyodoseyev
## 824 Randy Matson
## 825 Ludvik Danek
## 826 Gyula Zsivótzky
## 827 Gergely Kulcsár
## 828 Rein Aun
## 829 Dave Sime
## 830 Lester Carney
## 831 Carl Kaufmann
## 832 Roger Moens
## 833 Michel Jazy
## 834 Hans Grodotzki
## 835 Hans Grodotzki
## 836 William May
## 837 Clifton Cushman
## 838 Nikolay Sokolov
## 839 Soviet Union
## 840 United Team
## 841 Rhadi Ben
## 842 Noel Freeman
## 843 John Ljunggren
## 844 Valeriy Brumel
## 845 Ron Morris
## 846 Irvin Roberson
## 847 Vladimir Goryaev
## 848 Parry O'Brien
## 849 Rink Babka
## 850 Gyula Zsivótzky
## 851 Walter Krüger
## 852 Yang Chuan-Kwang
## 853 Thane Baker
## 854 Andy Stanfield
## 855 Karl-Friedrich Haas
## 856 Karl-Friedrich Haas
## 857 Derek Johnson
## 858 Klaus Richtzenhain
## 859 Gordon Pirie
## 860 József Kovács
## 861 Jack Davis
## 862 Eddie Southern
## 863 Sándor Rozsnyói
## 864 Soviet Union
## 865 Australia (AUS)Graham
## 866 Franjo Mihalić
## 867 Antanas Mikenas
## 868 Yevgeniy Maskinskov
## 869 Chilla Porter
## 870 Bob Gutowski
## 871 John Bennett
## 872 Vilhjálmur Einarsson
## 873 Bill Nieder
## 874 Fortune Gordien
## 875 Mikhail Krivonosov
## 876 Janusz Sidło
## 877 Rafer Johnson
## 878 Herb McKenley
## 879 Thane Baker
## 880 Herb McKenley
## 881 Arthur Wint
## 882 Bob McMillen
## 883 Alain Mimoun
## 884 Alain Mimoun
## 885 Jack Davis
## 886 Yuriy Lituyev
## 887 Vladimir Kazantsev
## 888 Soviet Union
## 889 United States
## 890 Reinaldo Gorno
## 891 Fritz Schwab
## 892 Josef Doležal
## 893 Ken Wiesner
## 894 Don Laz
## 895 Meredith Gourdine
## 896 Leonid Shcherbakov
## 897 Darrow Hooper
## 898 Adolfo Consolini
## 899 Karl Storch
## 900 Bill Miller
## 901 Milt Campbell
## 902 Barney Ewell
## 903 Barney Ewell
## 904 Herb McKenley
## 905 Arthur Wint
## 906 Lennart Strand
## 907 Emil Zátopek
## 908 Alain Mimoun
## 909 Clyde Scott
## 910 Duncan White
## 911 Erik Elmsäter
## 912 Great Britain
## 913 France (FRA)Jean
## 914 Tom Richards
## 915 Ingemar Johansson
## 916 Gaston Godel
## 917 Bjørn Paulson
## 918 Erkki Kataja
## 919 Theo Bruce
## 920 George Avery
## 921 Jim Delaney
## 922 Giuseppe Tosi
## 923 Ivan Gubijan
## 924 Steve Seymour
## 925 Ignace Heinrich
## 926 Ralph Metcalfe
## 927 Mack Robinson
## 928 Godfrey Brown
## 929 Mario Lanzi
## 930 Glenn Cunningham
## 931 Lauri Lehtinen
## 932 Arvo Askola
## 933 Don Finlay
## 934 John Loaring
## 935 Kaarlo Tuominen
## 936 Italy (ITA)Orazio
## 937 United States
## 938 Ernest Harper
## 939 Arthur Tell
## 940 Dave Albritton
## 941 Shuhei Nishida
## 942 Luz Long
## 943 Masao Harada
## 944 Sulo Bärlund
## 945 Gordon Dunn
## 946 Erwin Blask
## 947 Yrjo Nikkanen
## 948 Bob Clark
## 949 Andre De
## 950 Christophe Lemaitre
## 951 LaShawn Merritt
## 952 Clayton Murphy
## 953 Nick Willis
## 954 Hagos Gebrhiwet
## 955 Tamirat Tola
## 956 NA
## 957 Dimitri Bascou
## 958 Yasmani Copello
## 959 Mahiedine Mekhissi-Benabbad
## 960 NA
## 961 Canada (CAN)Akeem
## 962 Bahamas (BAH)Alonzo
## 963 NA
## 964 Galen Rupp
## 965 Dane Bird-Smith
## 966 Hirooki Arai
## 967 NA
## 968 Bohdan Bondarenko
## 969 Sam Kendricks
## 970 Greg Rutherford
## 971 Dong Bin
## 972 Tomas Walsh
## 973 Daniel Jasinski
## 974 Wojciech Nowicki
## 975 Keshorn Walcott
## 976 NA
## 977 Damian Warner
## 978 Justin Gatlin
## 979 Warren Weir
## 980 Lalonde Gordon
## 981 Timothy Kitum
## 982 Abdalaati Iguider
## 983 Thomas Longosiwa
## 984 Tariku Bekele
## 985 NA
## 986 Hansle Parchment
## 987 Javier Culson
## 988 Abel Mutai
## 989 NA
## 990 France (FRA)Jimmy
## 991 Trinidad and
## 992 NA
## 993 Wilson Kipsang
## 994 Wang Zhen
## 995 Robert Heffernan
## 996 NA
## 997 not awarded
## 998 Raphael Holzdeppe
## 999 Will Claye
## 1000 Fabrizio Donato
## 1001 Reese Hoffa
## 1002 Gerd Kanter
## 1003 Koji Murofushi
## 1004 Vítězslav Veselý
## 1005 NA
## 1006 Leonel Suárez
## 1007 Walter Dix
## 1008 Walter Dix
## 1009 David Neville
## 1010 Alfred Kirwa
## 1011 Mehdi Baala
## 1012 Edwin Cheruiyot
## 1013 Micah Kogo
## 1014 David Oliver
## 1015 Bershawn Jackson
## 1016 Richard Kipkemboi
## 1017 BrazilVicente LimaSandro
## 1018 Great BritainMartyn
## 1019 Tsegay Kebede
## 1020 Jared Tallent
## 1021 Denis Nizhegorodov
## 1022 Yaroslav Rybakov
## 1023 Derek Miles
## 1024 Ibrahim Camejo
## 1025 Leevan Sands
## 1026 Dylan Armstrong
## 1027 Virgilijus Alekna
## 1028 Ivan Tsikhan
## 1029 Tero Pitkämäki
## 1030 Leonel Suárez
## 1031 Maurice Greene
## 1032 Justin Gatlin
## 1033 Derrick Brew
## 1034 Wilson Kipketer
## 1035 Rui Silva
## 1036 Eliud Kipchoge
## 1037 Zersenay Tadese
## 1038 NA
## 1039 Anier García
## 1040 Naman Keïta
## 1041 Paul Kipsiele
## 1042 NA
## 1043 NigeriaOlusoji FasubaUchenna
## 1044 NigeriaJames GoddayMusa
## 1045 NA
## 1046 Vanderlei de
## 1047 Nathan Deakes
## 1048 Aleksey Voyevodin
## 1049 NA
## 1050 Jaroslav Bába
## 1051 Giuseppe Gibilisco
## 1052 Joan Lino
## 1053 Danil Burkenya
## 1054 Manuel Martínez
## 1055 Aleksander Tammert
## 1056 Eşref Apak
## 1057 Sergey Makarov
## 1058 NA
## 1059 Dmitriy Karpov
## 1060 Obadele Thompson
## 1061 Ato Boldon
## 1062 Greg Haughton
## 1063 Djabir Saïd-Guerni
## 1064 Bernard Lagat
## 1065 Brahim Lahlafi
## 1066 Assefa Mezgebu
## 1067 Mark Crear
## 1068 Llewellyn Herbert
## 1069 Ali Ezzine
## 1070 Cuba (CUB)Luis
## 1071 Bahamas (BAH)Avard
## 1072 Tesfaye Tola
## 1073 Vladimir Andreyev
## 1074 Joel Sánchez
## 1075 Abderrahmane Hammad
## 1076 Maksim Tarasov
## 1077 Roman Shchurenko
## 1078 Denis Kapustin
## 1079 John Godina
## 1080 Frantz Kruger
## 1081 Igor Astapkovich
## 1082 Sergey Makarov
## 1083 Chris Huffins
## 1084 Ato Boldon
## 1085 Ato Boldon
## 1086 Davis Kamoga
## 1087 Fred Onyancha
## 1088 Stephen Kipkorir
## 1089 Khalid Boulami
## 1090 Salah Hissou
## 1091 Florian Schwarthoff
## 1092 Calvin Davis
## 1093 Alessandro Lambruschini
## 1094 Brazil (BRA)Arnaldo
## 1095 Jamaica (JAM)Michael
## 1096 Erick Wainaina
## 1097 Bernardo Segura
## 1098 Valentí Massana
## 1099 Steve Smith
## 1100 Andrei Tivontchik
## 1101 Joe Greene
## 1102 Yoelbi Quesada
## 1103 Oleksandr Bagach
## 1104 Vasiliy Kaptyukh
## 1105 Oleksandr Krykun
## 1106 Seppo Räty
## 1107 Tomáš Dvořák
## 1108 Dennis Mitchell
## 1109 Michael Bates
## 1110 Samson Kitur
## 1111 Johnny Gray
## 1112 Mohamed Suleiman
## 1113 Fita Bayisa
## 1114 Addis Abebe
## 1115 Jack Pierce
## 1116 Kriss Akabusi
## 1117 William Mutwol
## 1118 Cuba (CUB)Andrés
## 1119 Great Britain
## 1120 Stephan Freigang
## 1121 Giovanni De
## 1122 Ronald Weigel
## 1123 Hollis Conway
## 1124 Tim Forsyth
## 1125 Artur Partyka
## 1126 Javier García
## 1127 Joe Greene
## 1128 Frank Rutherford
## 1129 Vyacheslav Lykho
## 1130 Roberto Moya
## 1131 Igor Nikulin
## 1132 Steve Backley
## 1133 Dave Johnson
## 1134 Calvin Smith
## 1135 Robson da
## 1136 Danny Everett
## 1137 Saïd Aouita
## 1138 Jens-Peter Herold
## 1139 Hansjörg Kunze
## 1140 Kipkemboy Kimeli
## 1141 Tonie Campbell
## 1142 Edwin Moses
## 1143 Mark Rowland
## 1144 France (FRA)Bruno
## 1145 West Germany
## 1146 Hussein Ahmed
## 1147 Maurizio Damilano
## 1148 Hartwig Gauder
## 1149 Rudolf Povarnitsyn
## 1150 Patrik Sjöberg
## 1151 Grigoriy Yegorov
## 1152 Larry Myricks
## 1153 Aleksandr Kovalenko
## 1154 Werner Günthör
## 1155 Rolf Danneberg
## 1156 Jüri Tamm
## 1157 Seppo Räty
## 1158 Dave Steen
## 1159 Ben Johnson
## 1160 Thomas Jefferson
## 1161 Antonio McKay
## 1162 Earl Jones
## 1163 José Manuel
## 1164 António Leitão
## 1165 Mike Musyoki
## 1166 Arto Bryggare
## 1167 Harald Schmid
## 1168 Brian Diemer
## 1169 Canada (CAN)Ben
## 1170 Nigeria (NGR)Sunday
## 1171 Charlie Spedding
## 1172 Maurizio Damilano
## 1173 Sandro Bellucci
## 1174 Jianhua Zhu
## 1175 Earl Bell
## 1176 Thierry Vigneron
## 1177 Giovanni Evangelisti
## 1178 Keith Connor
## 1179 Dave Laut
## 1180 John Powell
## 1181 Klaus Ploghaus
## 1182 Kenth Eldebrink
## 1183 Siegfried Wentz
## 1184 Petar Petrov
## 1185 Don Quarrie
## 1186 Frank Schaffer
## 1187 Nikolay Kirov
## 1188 Steve Ovett
## 1189 Kaarlo Maaninka
## 1190 Mohamed Kedir
## 1191 Aleksandr Puchkov
## 1192 Gary Oakes
## 1193 Eshetu Tura
## 1194 France (FRA)Patrick
## 1195 Italy (ITA)Roberto
## 1196 Satymkul Dzhumanazarov
## 1197 Roland Wieser
## 1198 Evgeni Ivchenko
## 1199 Jörg Freimuth
## 1200 none NA
## 1201 Valeriy Pidluzhnyy
## 1202 João Carlos
## 1203 Udo Beyer
## 1204 Luis Delís
## 1205 Jüri Tamm
## 1206 Wolfgang Hanisch
## 1207 Sergey Zhelanov
## 1208 Valeriy Borzov
## 1209 Dwayne Evans
## 1210 Herman Frazier
## 1211 Rick Wohlhuter
## 1212 Paul-Heinz Wellmann
## 1213 Klaus-Peter Hildenbrand
## 1214 Brendan Foster
## 1215 Willie Davenport
## 1216 Yevgeniy Gavrilenko
## 1217 Frank Baumgartl
## 1218 Soviet Union
## 1219 West Germany
## 1220 Karel Lismont
## 1221 Peter Frenkel
## 1222 Dwight Stones
## 1223 David Roberts
## 1224 Frank Wartenberg
## 1225 João Carlos
## 1226 Aleksandr Baryshnikov
## 1227 John Powell
## 1228 Anatoliy Bondarchuk
## 1229 Gheorghe Megelea
## 1230 Mykola Avilov
## 1231 Lennox Miller
## 1232 Pietro Mennea
## 1233 Julius Sang
## 1234 Mike Boit
## 1235 Rod Dixon
## 1236 Ian Stewart
## 1237 Miruts Yifter
## 1238 Thomas Hill
## 1239 David Hemery
## 1240 Tapio Kantanen
## 1241 West Germany
## 1242 France (FRA)Gilles
## 1243 Mamo Wolde
## 1244 Hans-Georg Reimann
## 1245 Larry Young
## 1246 Dwight Stones
## 1247 Jan Johnson
## 1248 Arnie Robinson
## 1249 Nelson Prudêncio
## 1250 Hartmut Briesenick
## 1251 Ricky Bruch
## 1252 Vasili Khmelevski
## 1253 Bill Schmidt
## 1254 Ryszard Katus
## 1255 Charles Greene
## 1256 John Carlos
## 1257 Ron Freeman
## 1258 Tom Farrell
## 1259 Bodo Tümmler
## 1260 Naftali Temu
## 1261 Mohammed Gammoudi
## 1262 Eddy Ottoz
## 1263 John Sherwood
## 1264 George Young
## 1265 France (FRA)Gérard
## 1266 West Germany
## 1267 Mike Ryan
## 1268 Nikolay Smaga
## 1269 Larry Young
## 1270 Valentin Gavrilov
## 1271 Wolfgang Nordwig
## 1272 Ralph Boston
## 1273 Giuseppe Gentile
## 1274 Eduard Gushchin
## 1275 Ludvík Daněk
## 1276 Lázár Lovász
## 1277 Gergely Kulcsár
## 1278 Kurt Bendlin
## 1279 Harry Jerome
## 1280 Edwin Roberts
## 1281 Andrzej Badeński
## 1282 Wilson Kiprugut
## 1283 John Davies
## 1284 Bill Dellinger
## 1285 Ron Clarke
## 1286 Anatoly Mikhailov
## 1287 Salvatore Morale
## 1288 Ivan Belyayev
## 1289 France (FRA)Paul
## 1290 Trinidad and
## 1291 Kokichi Tsuburaya
## 1292 Volodymyr Holubnychy
## 1293 Ingvar Pettersson
## 1294 John Rambo
## 1295 Klaus Lehnertz
## 1296 Igor Ter-Ovanesyan
## 1297 Victor Kravchenko
## 1298 Vilmos Varju
## 1299 Dave Weill
## 1300 Uwe Beyer
## 1301 Jānis Lūsis
## 1302 Hans-Joachim Walde
## 1303 Peter Radford
## 1304 Abdoulaye Seye
## 1305 Malcolm Spence
## 1306 George Kerr
## 1307 István Rózsavölgyi
## 1308 Kazimierz Zimny
## 1309 David Power
## 1310 Hayes Jones
## 1311 Dick Howard
## 1312 Semyon Rzhishchin
## 1313 Great Britain
## 1314 British West
## 1315 Barry Magee
## 1316 Stan Vickers
## 1317 Abdon Pamich
## 1318 John Thomas
## 1319 Eeles Landström
## 1320 Igor Ter-Ovanesyan
## 1321 Vitold Kreer
## 1322 Dallas Long
## 1323 Dick Cochran
## 1324 Tadeusz Rut
## 1325 Gergely Kulcsár
## 1326 Vasili Kuznetsov
## 1327 Hector Hogan
## 1328 Thane Baker
## 1329 Voitto Hellstén
## 1330 Ardalion Ignatyev
## 1331 Audun Boysen
## 1332 John Landy
## 1333 Derek Ibbotson
## 1334 Allan Lawrence
## 1335 Joel Shankle
## 1336 Joshua Culbreath
## 1337 Ernst Larsen
## 1338 United Team
## 1339 Great Britain
## 1340 Veikko Karvonen
## 1341 Bruno Junk
## 1342 John Ljunggren
## 1343 Igor Kashkarov
## 1344 Georgios Roubanis
## 1345 Jorma Valkama
## 1346 Vitold Kreer
## 1347 Jiří Skobla
## 1348 Desmond Koch
## 1349 Anatoli Samotsvetov
## 1350 Viktor Tsybulenko
## 1351 Vasili Kuznetsov
## 1352 McDonald Bailey
## 1353 James Gathers
## 1354 Ollie Matson
## 1355 Heinz Ulzheimer
## 1356 Werner Lueg
## 1357 Herbert Schade
## 1358 Aleksandr Anufriyev
## 1359 Arthur Barnard
## 1360 John Holland
## 1361 John Disley
## 1362 Hungary (HUN)László
## 1363 Germany (GER)Günter
## 1364 Gustaf Jansson
## 1365 Bruno Junk
## 1366 Antal Róka
## 1367 José da
## 1368 Ragnar Lundberg
## 1369 Ödön Földessy
## 1370 Asnoldo Devonish
## 1371 Jim Fuchs
## 1372 James Dillion
## 1373 Imre Németh
## 1374 Toivo Hyytiäinen
## 1375 Floyd Simmons
## 1376 Lloyd LaBeach
## 1377 Lloyd LaBeach
## 1378 Mal Whitfield
## 1379 Marcel Hansenne
## 1380 Wim Slijkhuis
## 1381 Wim Slijkhuis
## 1382 Bertil Albertsson
## 1383 Craig Dixon
## 1384 Rune Larsson
## 1385 Göte Hagström
## 1386 Italy (ITA)Michele
## 1387 Sweden (SWE)Kurt
## 1388 Etienne Gailly
## 1389 Fritz Schwab
## 1390 Tebbs Lloyd
## 1391 George Stanich
## 1392 Robert Richards
## 1393 Herbert Douglas
## 1394 Ruhi Sarialp
## 1395 Jim Fuchs
## 1396 Fortune Gordien
## 1397 Robert Bennett
## 1398 József Várszegi
## 1399 Floyd Simmons
## 1400 Tinus Osendarp
## 1401 Tinus Osendarp
## 1402 James LuValle
## 1403 Phil Edwards
## 1404 Luigi Beccali
## 1405 Henry Jonsson
## 1406 Volmari Iso-Hollo
## 1407 Fritz Pollard
## 1408 Miguel White
## 1409 Alfred Dompert
## 1410 Germany (GER)Wilhelm
## 1411 Germany (GER)Helmut
## 1412 Nan Shoryu
## 1413 Adalberts Bubenko
## 1414 Delos Thurber
## 1415 Sueo Ōe
## 1416 Naoto Tajima
## 1417 Jack Metcalfe
## 1418 Gerhard Stöck
## 1419 Giorgio Oberweger
## 1420 Fred Warngård
## 1421 Kalervo Toivonen
## 1422 Jack Parker
## Athlete.Country
## 1 Jamaica
## 2 Jamaica
## 3 Niekerk South Africa
## 4 Kenya
## 5 Jr. United States
## 6 Great Britain
## 7 Great Britain
## 8 <NA>
## 9 Jamaica
## 10 United States
## 11 Kenya
## 12 <NA>
## 13 PowellYohan BlakeNickel AshmeadeUsain BoltJevaughn Minzie*Kemar Bailey-Cole*
## 14 (USA)Arman HallTony McQuayGil RobertsLaShawn MerrittKyle Clemons*David Verburg*
## 15 <NA>
## 16 Kenya
## 17 China
## 18 Slovakia
## 19 <NA>
## 20 Canada
## 21 da Silva Brazil
## 22 United States
## 23 United States
## 24 United States
## 25 Germany
## 26 Tajikistan
## 27 Germany
## 28 <NA>
## 29 United States
## 30 Jamaica
## 31 Jamaica
## 32 Grenada
## 33 Kenya
## 34 Algeria
## 35 Great Britain
## 36 Great Britain
## 37 <NA>
## 38 United States
## 39 Dominican Republic
## 40 Kenya
## 41 <NA>
## 42 CarterMichael FraterYohan BlakeUsain BoltKemar Bailey-Cole*
## 43 BrownDemetrius PinderMichael MathieuRamon Miller
## 44 <NA>
## 45 Uganda
## 46 China
## 47 Australia
## 48 <NA>
## 49 United States
## 50 France
## 51 Great Britain
## 52 United States
## 53 Poland
## 54 Germany
## 55 Hungary
## 56 Trinidad and Tobago
## 57 <NA>
## 58 United States
## 59 Jamaica
## 60 Jamaica
## 61 United States
## 62 Kenya
## 63 Kiprop Kenya
## 64 Ethiopia
## 65 Ethiopia
## 66 Cuba
## 67 United States
## 68 Kipruto Kenya
## 69 TobagoKeston BledmanMarc BurnsEmmanuel CallenderRichard ThompsonAaron Armstrong*
## 70 MerrittAngelo TaylorDavid NevilleJeremy WarinerKerron Clement*Reggie Witherspoon*
## 71 Kenya
## 72 Russia
## 73 Italy
## 74 Russia
## 75 Australia
## 76 Panama
## 77 Portugal
## 78 Poland
## 79 Estonia
## 80 Slovenia
## 81 Norway
## 82 United States
## 83 United States
## 84 United States
## 85 United States
## 86 Russia
## 87 Guerrouj Morocco
## 88 Guerrouj Morocco
## 89 Ethiopia
## 90 <NA>
## 91 China
## 92 Dominican Republic
## 93 Kenya
## 94 <NA>
## 95 GardenerDarren CampbellMarlon DevonishMark Lewis-Francis
## 96 HarrisDerrick BrewJeremy WarinerDarold WilliamsonAndrew Rock*Kelly Willie*
## 97 <NA>
## 98 Italy
## 99 Italy
## 100 Poland
## 101 <NA>
## 102 Sweden
## 103 United States
## 104 United States
## 105 Sweden
## 106 United States
## 107 Lithuania
## 108 Japan
## 109 Norway
## 110 <NA>
## 111 Czech Republic
## 112 United States
## 113 Greece
## 114 United States
## 115 Germany
## 116 Kenya
## 117 Ethiopia
## 118 Ethiopia
## 119 Cuba
## 120 United States
## 121 Kenya
## 122 (USA)Jon DrummondBernard WilliamsBrian LewisMaurice GreeneTim Montgomery*Kenneth Brokenburr*
## 123 ChukwuJude MonyeSunday BadaEnefiok Udo-ObongNduka Awazie*Fidelis Gadzama*[1]
## 124 Ethiopia
## 125 Poland
## 126 Poland
## 127 Russia
## 128 United States
## 129 Cuba
## 130 Great Britain
## 131 Finland
## 132 Lithuania
## 133 Poland
## 134 Czech Republic
## 135 Estonia
## 136 Canada
## 137 United States
## 138 United States
## 139 Norway
## 140 Algeria
## 141 Burundi
## 142 Ethiopia
## 143 United States
## 144 United States
## 145 Kenya
## 146 EsmieGlenroy GilbertBruny SurinDonovan BaileyCarlton Chambers*
## 147 (USA)LaMont SmithAlvin HarrisonDerek MillsAnthuan MaybankJason Rouser*
## 148 South Africa
## 149 Ecuador
## 150 Poland
## 151 United States
## 152 France
## 153 United States
## 154 United States
## 155 United States
## 156 Germany
## 157 Hungary
## 158 Czech Republic
## 159 United States
## 160 Great Britain
## 161 United States
## 162 United States
## 163 Kenya
## 164 Spain
## 165 Germany
## 166 Morocco
## 167 Canada
## 168 United States
## 169 Kenya
## 170 (USA)Michael MarshLeroy BurrellDennis MitchellCarl LewisJames Jett*
## 171 (USA)Andrew ValmonQuincy WattsMichael JohnsonSteve LewisDarnell Hall*Charles Jenkins*
## 172 South Korea
## 173 Spain
## 174 Unified Team( Russia)
## 175 Cuba
## 176 Cuba
## 177 Cuba
## 178 Unified Team( Russia)
## 179 United States
## 180 United States
## 181 United States
## 182 Lithuania
## 183 Unified Team( Tajikistan)
## 184 Czechoslovakia
## 185 Czechoslovakia
## 186 United States
## 187 United States
## 188 United States
## 189 Kenya
## 190 Kenya
## 191 Kenya
## 192 Morocco
## 193 United States
## 194 United States
## 195 Kenya
## 196 (URS)Viktor BryzhinVladimir KrylovVladimir MuravyovVitaliy Savin
## 197 (USA)Danny EverettSteve LewisKevin RobinzineButch ReynoldsAntonio McKay*Andrew Valmon*
## 198 Italy
## 199 Czechoslovakia
## 200 Soviet Union
## 201 Soviet Union
## 202 Soviet Union
## 203 Soviet Union
## 204 United States
## 205 Bulgaria
## 206 East Germany
## 207 East Germany
## 208 Soviet Union
## 209 Finland
## 210 East Germany
## 211 United States
## 212 United States
## 213 United States
## 214 Brazil
## 215 Great Britain
## 216 Morocco
## 217 Italy
## 218 United States
## 219 United States
## 220 Kenya
## 221 (USA)Sam GraddyRon BrownCalvin SmithCarl Lewis
## 222 (USA)Sunder NixRay ArmsteadAlonzo BabersAntonio McKayWalter McCoy*Willie Smith*
## 223 Portugal
## 224 Mexico
## 225 Mexico
## 226 West Germany
## 227 France
## 228 France
## 229 United States
## 230 United States
## 231 Italy
## 232 West Germany
## 233 Finland
## 234 Finland
## 235 Great Britain
## 236 Great Britain
## 237 Italy
## 238 Soviet Union
## 239 Great Britain
## 240 Great Britain
## 241 Ethiopia
## 242 Ethiopia
## 243 East Germany
## 244 East Germany
## 245 Poland
## 246 (URS)Vladimir MuravyovNikolay SidorovAndrey ProkofyevAleksandr Aksinin
## 247 (URS)Viktor MarkinRemigijus ValiulisMikhail LingeNikolay Chernetskiy
## 248 East Germany
## 249 Italy
## 250 East Germany
## 251 East Germany
## 252 Poland
## 253 East Germany
## 254 Soviet Union
## 255 Soviet Union
## 256 Soviet Union
## 257 Soviet Union
## 258 Soviet Union
## 259 Great Britain
## 260 Trinidad and Tobago
## 261 Jamaica
## 262 Cuba
## 263 Cuba
## 264 New Zealand
## 265 Finland
## 266 Finland
## 267 France
## 268 United States
## 269 Sweden
## 270 (USA)Harvey GlanceJohnny JonesMillard HamptonSteve Riddick
## 271 (USA)Herman FrazierBenny BrownFred NewhouseMaxie Parks
## 272 East Germany
## 273 Mexico
## 274 Poland
## 275 Poland
## 276 United States
## 277 Soviet Union
## 278 East Germany
## 279 United States
## 280 Soviet Union
## 281 Hungary
## 282 (as Bruce Jenner)[a] United States
## 283 Soviet Union
## 284 Soviet Union
## 285 United States
## 286 United States
## 287 Finland
## 288 Finland
## 289 Finland
## 290 United States
## 291 Uganda
## 292 Kenya
## 293 (USA)Larry BlackRobert TaylorGerald TinkerEddie Hart
## 294 AsatiMunyoro NyamauRobert OukoJulius Sang
## 295 United States
## 296 East Germany
## 297 West Germany
## 298 Soviet Union
## 299 East Germany
## 300 United States
## 301 Soviet Union
## 302 Poland
## 303 Czechoslovakia
## 304 Soviet Union
## 305 West Germany
## 306 Soviet Union
## 307 United States
## 308 United States
## 309 United States
## 310 Australia
## 311 Kenya
## 312 Tunisia
## 313 Kenya
## 314 United States
## 315 Great Britain
## 316 Kenya
## 317 (USA)Charles GreeneMel PenderRonnie Ray SmithJim Hines
## 318 (USA)Vincent MatthewsRon FreemanLarry JamesLee Evans
## 319 Ethiopia
## 320 Soviet Union
## 321 East Germany
## 322 United States
## 323 United States
## 324 United States
## 325 Soviet Union
## 326 United States
## 327 United States
## 328 Hungary
## 329 Soviet Union
## 330 United States
## 331 United States
## 332 United States
## 333 United States
## 334 New Zealand
## 335 New Zealand
## 336 United States
## 337 United States
## 338 United States
## 339 United States
## 340 Belgium
## 341 (USA)Paul DraytonGerry AshworthRichard StebbinsBob Hayes
## 342 (USA)Ollan CassellMike LarrabeeUlis WilliamsHenry Carr
## 343 Ethiopia
## 344 Great Britain
## 345 Italy
## 346 Soviet Union
## 347 United States
## 348 Great Britain
## 349 Poland
## 350 United States
## 351 United States
## 352 Soviet Union
## 353 Finland
## 354 United Team of Germany
## 355 United Team of Germany
## 356 Italy
## 357 United States
## 358 New Zealand
## 359 Australia
## 360 New Zealand
## 361 Soviet Union
## 362 United States
## 363 United States
## 364 Poland
## 365 of Germany (EUA)Bernd CullmannArmin HaryWalter MahlendorfMartin Lauer
## 366 (USA)Jack YermanEarl YoungGlenn DavisOtis Davis
## 367 Ethiopia
## 368 Soviet Union
## 369 Great Britain
## 370 Soviet Union
## 371 United States
## 372 United States
## 373 Poland
## 374 United States
## 375 United States
## 376 Soviet Union
## 377 Soviet Union
## 378 United States
## 379 United States
## 380 United States
## 381 United States
## 382 United States
## 383 United States
## 384 Ireland
## 385 Soviet Union
## 386 Soviet Union
## 387 United States
## 388 United States
## 389 Great Britain
## 390 (USA)Thane BakerLeamon KingBobby MorrowIra Murchison
## 391 (USA)Tom CourtneyCharles JenkinsLou JonesJesse Mashburn
## 392 France
## 393 Soviet Union
## 394 New Zealand
## 395 United States
## 396 United States
## 397 United States
## 398 Silva Brazil
## 399 United States
## 400 United States
## 401 United States
## 402 Norway
## 403 United States
## 404 United States
## 405 United States
## 406 Jamaica
## 407 United States
## 408 Luxembourg
## 409 Czechoslovakia
## 410 Czechoslovakia
## 411 United States
## 412 United States
## 413 United States
## 414 (USA)Dean SmithHarrison DillardLindy RemiginoAndy Stanfield
## 415 WintLeslie LaingHerb McKenleyGeorge Rhoden
## 416 Czechoslovakia
## 417 Sweden
## 418 Italy
## 419 United States
## 420 United States
## 421 United States
## 422 Silva Brazil
## 423 United States
## 424 United States
## 425 Hungary
## 426 United States
## 427 United States
## 428 United States
## 429 United States
## 430 Jamaica
## 431 United States
## 432 Sweden
## 433 Belgium
## 434 Czechoslovakia
## 435 United States
## 436 United States
## 437 Sweden
## 438 (USA)Barney EwellLorenzo WrightHarrison DillardMel Patton
## 439 (USA)Roy CochranCliff BourlandArthur HarndenMal Whitfield
## 440 Argentina
## 441 Sweden
## 442 Sweden
## 443 Australia
## 444 United States
## 445 United States
## 446 Sweden
## 447 United States
## 448 Italy
## 449 Hungary
## 450 Finland
## 451 United States
## 452 United States
## 453 United States
## 454 United States
## 455 United States
## 456 New Zealand
## 457 Finland
## 458 Finland
## 459 United States
## 460 United States
## 461 Finland
## 462 (USA)Jesse OwensRalph MetcalfeFoy DraperFrank Wykoff
## 463 (GBR)Freddie WolffGodfrey RamplingBill RobertsGodfrey Brown
## 464 Japan[1]
## 465 Great Britain
## 466 United States
## 467 United States
## 468 United States
## 469 Japan
## 470 Germany
## 471 United States
## 472 Germany
## 473 Germany
## 474 United States
## 475 United States
## 476 Grasse Canada
## 477 Grenada
## 478 Algeria
## 479 Algeria
## 480 United States
## 481 Kenya
## 482 <NA>
## 483 Spain
## 484 Kenya
## 485 United States
## 486 <NA>
## 487 YamagataShota IizukaYoshihide KiryuAsuka Cambridge
## 488 MatthewsNathon AllenFitzroy DunkleyJavon FrancisRusheen McDonald*
## 489 <NA>
## 490 Ethiopia
## 491 China
## 492 Australia
## 493 <NA>
## 494 Barshim Qatar
## 495 France
## 496 South Africa
## 497 United States
## 498 United States
## 499 Poland
## 500 Belarus
## 501 Kenya
## 502 <NA>
## 503 France
## 504 Jamaica
## 505 Jamaica
## 506 Dominican Republic
## 507 Botswana
## 508 United States
## 509 Ethiopia
## 510 United States
## 511 <NA>
## 512 United States
## 513 United States
## 514 France
## 515 <NA>
## 516 Tobago (TRI)Keston BledmanMarc BurnsEmmanuel CallenderRichard Thompson
## 517 (USA)Bryshon NellumJoshua ManceTony McQuayAngelo TaylorManteo Mitchell*
## 518 <NA>
## 519 Kenya
## 520 Guatemala
## 521 China
## 522 <NA>
## 523 Barshim QatarDerek Drouin CanadaRobert Grabarz Great Britain
## 524 Germany
## 525 Australia
## 526 United States
## 527 Germany
## 528 Iran
## 529 Slovenia
## 530 Finland
## 531 <NA>
## 532 United States
## 533 Trinidad and Tobago
## 534 United States
## 535 United States
## 536 Ismail Sudan
## 537 New Zealand
## 538 Kenya
## 539 Ethiopia
## 540 United States
## 541 United States
## 542 France
## 543 SuetsuguShinji TakahiraNobuharu Asahara
## 544 MathieuAndrae WilliamsChris BrownAvard Moncur*Ramon Miller*
## 545 Morocco
## 546 Ecuador
## 547 Australia
## 548 Great Britain
## 549 Russia
## 550 South Africa
## 551 Great Britain
## 552 United States
## 553 Poland
## 554 Belarus
## 555 Latvia
## 556 Belarus
## 557 Portugal
## 558 United States
## 559 United States
## 560 South Africa
## 561 Kenya
## 562 Ethiopia
## 563 Ethiopia
## 564 <NA>
## 565 United States
## 566 Jamaica
## 567 Kenya
## 568 <NA>
## 569 CrawfordJustin GatlinCoby MillerMaurice GreeneDarvis Patton*
## 570 OrmrodPatrick DwyerClinton Hill
## 571 <NA>
## 572 United States
## 573 Spain
## 574 Russia
## 575 <NA>
## 576 United States
## 577 United States
## 578 United States
## 579 Romania
## 580 Denmark
## 581 Hungary
## 582 [b]
## 583 Latvia
## 584 <NA>
## 585 United States
## 586 Trinidad and Tobago
## 587 Great Britain
## 588 United States
## 589 Denmark
## 590 Guerrouj Morocco
## 591 Algeria
## 592 Kenya
## 593 United States
## 594 Saudi Arabia
## 595 Kipketer Kenya
## 596 LenilsonEdson RibeiroAndré da SilvaClaudinei QuirinoCláudio Souza*
## 597 BlackwoodGreg HaughtonChristopher WilliamsDanny McFarlaneSanjay Ayre*Michael McDonald*
## 598 Kenya
## 599 Mexico
## 600 Latvia
## 601 Cuba
## 602 United States
## 603 Australia
## 604 Cuba
## 605 United States
## 606 Germany
## 607 Italy
## 608 Great Britain
## 609 Czech Republic
## 610 Namibia
## 611 Namibia
## 612 Great Britain
## 613 South Africa
## 614 Spain
## 615 Kenya
## 616 Kenya
## 617 United States
## 618 Zambia
## 619 Kenya
## 620 (USA)Jon DrummondTim HardenMichael MarshDennis MitchellTim Montgomery*
## 621 (GBR)Iwan ThomasJamie BaulchMark RichardsonRoger BlackMark Hylton*Du'aine Ladejo*
## 622 South Korea
## 623 Russia
## 624 Russia
## 625 Poland
## 626 Russia
## 627 Jamaica
## 628 Great Britain
## 629 United States
## 630 Belarus
## 631 United States
## 632 Great Britain
## 633 Germany
## 634 Namibia
## 635 Namibia
## 636 United States
## 637 Kenya
## 638 Basir Morocco
## 639 Kenya
## 640 Kenya
## 641 United States
## 642 Jamaica
## 643 Kenya
## 644 KayodeChidi ImohOlapade AdenikenDavidson EzinwaOsmond Ezinwa*
## 645 MartínezHéctor HerreraNorberto TéllezRoberto Hernández
## 646 Japan
## 647 Canada
## 648 Mexico
## 649 Sweden
## 650 Sweden
## 651 Sweden
## 652 Unified Team( Russia)
## 653 United States
## 654 United States
## 655 United States
## 656 Germany
## 657 Unified Team( Belarus)
## 658 Finland
## 659 Spain
## 660 Great Britain
## 661 United States
## 662 United States
## 663 Brazil
## 664 Great Britain
## 665 West Germany
## 666 Italy
## 667 Great Britain
## 668 Ba Senegal
## 669 Kenya
## 670 (GBR)Elliot BunneyJohn RegisLinford ChristieMike McFarlaneClarence Callender*
## 671 DavisDevon MorrisWinthrop GrahamBert CameronTrevor Graham*Howard Burnett*
## 672 Kenya
## 673 East Germany
## 674 East Germany
## 675 United States
## 676 United States
## 677 Soviet Union
## 678 United States
## 679 Soviet Union
## 680 United States
## 681 Soviet Union
## 682 Soviet Union
## 683 Czechoslovakia
## 684 East Germany
## 685 United States
## 686 United States
## 687 Ivory Coast
## 688 Great Britain
## 689 Great Britain
## 690 Switzerland
## 691 Great Britain
## 692 United States
## 693 United States
## 694 France
## 695 LawrenceGreg MeghooDon QuarrieRay StewartNorman Edwards*
## 696 (GBR)Kriss AkabusiGarry CookTodd BennettPhil Brown
## 697 Ireland
## 698 Mexico
## 699 Sweden
## 700 Sweden
## 701 United States
## 702 United States
## 703 Australia
## 704 United States
## 705 United States
## 706 United States
## 707 West Germany
## 708 Great Britain
## 709 West Germany
## 710 Cuba
## 711 Great Britain
## 712 Australia
## 713 Great Britain
## 714 East Germany
## 715 Tanzania
## 716 Finland
## 717 Cuba
## 718 Soviet Union
## 719 Tanzania
## 720 LicznerskiLeszek DuneckiMarian WoroninKrzysztof Zwoliński
## 721 (GDR)Klaus ThieleAndreas KnebelFrank SchafferVolker Beck
## 722 Netherlands
## 723 Soviet Union
## 724 Spain
## 725 Poland
## 726 Soviet Union Tadeusz Ślusarski Poland
## 727 East Germany
## 728 Soviet Union
## 729 Soviet Union
## 730 Czechoslovakia
## 731 Soviet Union
## 732 Soviet Union
## 733 Soviet Union
## 734 Jamaica
## 735 United States
## 736 United States
## 737 Damme Belgium
## 738 Damme Belgium
## 739 New Zealand
## 740 Portugal
## 741 Cuba
## 742 United States
## 743 Poland
## 744 (GDR)Manfred KokotJörg PfeiferKlaus-Dieter KurratAlexander Thieme
## 745 PodlasJan WernerZbigniew JaremskiJerzy Pietrzyk
## 746 United States
## 747 East Germany
## 748 Canada
## 749 Finland
## 750 United States
## 751 United States
## 752 Soviet Union
## 753 East Germany
## 754 Soviet Union
## 755 Finland
## 756 West Germany
## 757 United States
## 758 United States
## 759 United States
## 760 Soviet Union
## 761 Kenya
## 762 Tunisia
## 763 Belgium
## 764 France
## 765 United States
## 766 Kenya
## 767 (URS)Aleksandr KornelyukVladimir LovetskiyYuris SilovsValeriy Borzov
## 768 (GBR)Martin ReynoldsAlan PascoeDavid HemeryDavid Jenkins
## 769 Belgium
## 770 Soviet Union
## 771 Soviet Union
## 772 East Germany
## 773 United States
## 774 West Germany
## 775 East Germany
## 776 United States
## 777 United States
## 778 East Germany
## 779 Soviet Union
## 780 Soviet Union
## 781 Jamaica
## 782 Australia
## 783 United States
## 784 Kenya
## 785 United States
## 786 Kenya
## 787 Ethiopia
## 788 United States
## 789 West Germany
## 790 Kenya
## 791 RamírezJuan MoralesPablo MontesEnrique Figuerola
## 792 RudishaMunyoro NyamauNaftali BonCharles Asati
## 793 Japan
## 794 Mexico
## 795 Hungary
## 796 United States
## 797 West Germany
## 798 East Germany
## 799 Brazil
## 800 United States
## 801 East Germany
## 802 Soviet Union
## 803 Finland
## 804 West Germany
## 805 Cuba
## 806 United States
## 807 Trinidad and Tobago
## 808 Canada
## 809 Czechoslovakia
## 810 United Team of Germany
## 811 Tunisia
## 812 United States
## 813 Great Britain
## 814 Great Britain
## 815 ZielińskiWiesław ManiakMarian FoikMarian Dudziak
## 816 (GBR)Tim GrahamAdrian MetcalfeJohn CooperRobbie Brightwell
## 817 Great Britain
## 818 United Team of Germany
## 819 Great Britain
## 820 United States
## 821 United Team of Germany
## 822 United States
## 823 Soviet Union
## 824 United States
## 825 Czechoslovakia
## 826 Hungary
## 827 Hungary
## 828 Soviet Union
## 829 United States
## 830 United States
## 831 United Team of Germany
## 832 Belgium
## 833 France
## 834 United Team of Germany
## 835 United Team of Germany
## 836 United States
## 837 United States
## 838 Soviet Union
## 839 (URS)Gusman KosanovLeonid BartenevYuriy KonovalovEdvin Ozolin
## 840 of Germany (EUA)Manfred KinderJoachim ReskeJohannes KaiserCarl Kaufmann
## 841 Abdesselam Morocco
## 842 Australia
## 843 Sweden
## 844 Soviet Union
## 845 United States
## 846 United States
## 847 Soviet Union
## 848 United States
## 849 United States
## 850 Hungary
## 851 United Team of Germany
## 852 Formosa
## 853 United States
## 854 United States
## 855 United Team of Germany
## 856 United Team of Germany
## 857 Great Britain
## 858 United Team of Germany
## 859 Great Britain
## 860 Hungary
## 861 United States
## 862 United States
## 863 Hungary
## 864 (URS)Leonid BartenevYuriy KonovalovVladimir SukharevBoris Tokarev
## 865 GipsonKevan GosperLeon GregoryDavid Lean
## 866 Yugoslavia
## 867 Soviet Union
## 868 Soviet Union
## 869 Australia
## 870 United States
## 871 United States
## 872 Iceland
## 873 United States
## 874 United States
## 875 Soviet Union
## 876 Poland
## 877 United States
## 878 Jamaica
## 879 United States
## 880 Jamaica
## 881 Jamaica
## 882 United States
## 883 France
## 884 France
## 885 United States
## 886 Soviet Union
## 887 Soviet Union
## 888 (URS)Boris TokarevLevan KalyayevLevan SanadzeVladimir Sukharev
## 889 (USA)Ollie MatsonGene ColeCharles MooreMal Whitfield
## 890 Argentina
## 891 Switzerland
## 892 Czechoslovakia
## 893 United States
## 894 United States
## 895 United States
## 896 Soviet Union
## 897 United States
## 898 Italy
## 899 Germany
## 900 United States
## 901 United States
## 902 United States
## 903 United States
## 904 Jamaica
## 905 Jamaica
## 906 Sweden
## 907 Czechoslovakia
## 908 France
## 909 United States
## 910 Ceylon
## 911 Sweden
## 912 (GBR)Alastair McCorquodaleJohn GregoryKen JonesJack Archer
## 913 KerebelFrancis SchewettaRobert Chef D'HotelJacques Lunis
## 914 Great Britain
## 915 Sweden
## 916 Switzerland
## 917 Norway
## 918 Finland
## 919 Australia
## 920 Australia
## 921 United States
## 922 Italy
## 923 Yugoslavia
## 924 United States
## 925 France
## 926 United States
## 927 United States
## 928 Great Britain
## 929 Italy
## 930 United States
## 931 Finland
## 932 Finland
## 933 Great Britain
## 934 Canada
## 935 Finland
## 936 MarianiGianni CaldanaElio RagniTullio Gonnelli
## 937 (USA)Harold CagleRobert YoungEdward O’BrienAlfred Fitch
## 938 Great Britain
## 939 Schwab Switzerland
## 940 United States
## 941 Japan
## 942 Germany
## 943 Japan
## 944 Finland
## 945 United States
## 946 Germany
## 947 Finland
## 948 United States
## 949 Grasse Canada
## 950 France
## 951 United States
## 952 United States
## 953 New Zealand
## 954 Ethiopia
## 955 Ethiopia
## 956 <NA>
## 957 France
## 958 Turkey
## 959 France
## 960 <NA>
## 961 HaynesAaron BrownBrendon RodneyAndre De GrasseBolade Ajomale*
## 962 RussellMichael MathieuSteven GardinerChris BrownStephen Newbold*
## 963 <NA>
## 964 United States
## 965 Australia
## 966 Japan
## 967 <NA>
## 968 Ukraine
## 969 United States
## 970 Great Britain
## 971 China
## 972 New Zealand
## 973 Germany
## 974 Poland
## 975 Trinidad and Tobago
## 976 <NA>
## 977 Canada
## 978 United States
## 979 Jamaica
## 980 Trinidad and Tobago
## 981 Kenya
## 982 Morocco
## 983 Kenya
## 984 Ethiopia
## 985 <NA>
## 986 Jamaica
## 987 Puerto Rico
## 988 Kenya
## 989 <NA>
## 990 VicautChristophe Lemaitre Pierre-Alexis PessonneauxRonald Pognon
## 991 Tobago (TRI)Lalonde GordonJarrin SolomonAde Alleyne-ForteDeon Lendore
## 992 <NA>
## 993 Kiprotich Kenya
## 994 China
## 995 Ireland
## 996 <NA>
## 997 (tie for silver)
## 998 Germany
## 999 United States
## 1000 Italy
## 1001 United States
## 1002 Estonia
## 1003 Japan
## 1004 Czech Republic
## 1005 <NA>
## 1006 Cuba
## 1007 United States
## 1008 United States
## 1009 United States
## 1010 Yego Kenya
## 1011 France
## 1012 Soi Kenya
## 1013 Kenya
## 1014 United States
## 1015 United States
## 1016 Mateelong Kenya
## 1017 VianaBruno de BarrosJosé Carlos Moreira
## 1018 RooneyAndrew SteeleRobert TobinMichael Bingham
## 1019 Ethiopia
## 1020 Australia
## 1021 Russia
## 1022 Russia
## 1023 United States
## 1024 Cuba
## 1025 Bahamas
## 1026 Canada
## 1027 Lithuania
## 1028 Belarus
## 1029 Finland
## 1030 Cuba
## 1031 United States
## 1032 United States
## 1033 United States
## 1034 Denmark
## 1035 Portugal
## 1036 Kenya
## 1037 Eritrea
## 1038 <NA>
## 1039 Cuba
## 1040 France
## 1041 Koech Kenya
## 1042 <NA>
## 1043 EmedoluAaron EgbeleDeji Aliu
## 1044 AuduSaul WeigopwaEnefiok Udo-Obong
## 1045 <NA>
## 1046 Lima Brazil
## 1047 Australia
## 1048 Russia
## 1049 <NA>
## 1050 Czech Republic
## 1051 Italy
## 1052 Martínez Spain
## 1053 Russia
## 1054 Spain
## 1055 Estonia
## 1056 Turkey
## 1057 Russia
## 1058 <NA>
## 1059 Kazakhstan
## 1060 Barbados
## 1061 Trinidad and Tobago
## 1062 Jamaica
## 1063 Algeria
## 1064 Kenya
## 1065 Morocco
## 1066 Ethiopia
## 1067 United States
## 1068 South Africa
## 1069 Morocco
## 1070 Alberto Pérez-RiondaIvan GarciaFreddy MayolaJosé Ángel César
## 1071 MoncurTroy McIntoshCarl OliverChris BrownTimothy Munnings*
## 1072 Ethiopia
## 1073 Russia
## 1074 Guerrero Mexico
## 1075 Algeria
## 1076 Russia
## 1077 Ukraine
## 1078 Russia
## 1079 United States
## 1080 South Africa
## 1081 Belarus
## 1082 Russia
## 1083 United States
## 1084 Trinidad and Tobago
## 1085 Trinidad and Tobago
## 1086 Uganda
## 1087 Kenya
## 1088 Kenya
## 1089 Morocco
## 1090 Morocco
## 1091 Germany
## 1092 United States
## 1093 Italy
## 1094 da SilvaRobson da SilvaÉdson RibeiroAndré da Silva
## 1095 McDonaldGreg HaughtonRoxbert MartinDavian ClarkeDennis Blake*Garth Robinson*
## 1096 Kenya
## 1097 Mexico
## 1098 Spain
## 1099 Great Britain
## 1100 Germany
## 1101 United States
## 1102 Cuba
## 1103 Ukraine
## 1104 Belarus
## 1105 Ukraine
## 1106 Finland
## 1107 Czech Republic
## 1108 United States
## 1109 United States
## 1110 Kenya
## 1111 United States
## 1112 Qatar
## 1113 Ethiopia
## 1114 Ethiopia
## 1115 United States
## 1116 Great Britain
## 1117 Kenya
## 1118 SimónJoel LamelaJoel IsasiJorge Aguilera
## 1119 (GBR)Roger BlackDavid GrindleyKriss AkabusiJohn RegisDu'aine Ladejo*Mark Richardson*
## 1120 Germany
## 1121 Benedictis Italy
## 1122 Germany
## 1123 United States
## 1124 Australia
## 1125 Poland
## 1126 Spain
## 1127 United States
## 1128 Bahamas
## 1129 Unified Team( Russia)
## 1130 Cuba
## 1131 Unified Team( Russia)
## 1132 Great Britain
## 1133 United States
## 1134 United States
## 1135 Silva Brazil
## 1136 United States
## 1137 Morocco
## 1138 East Germany
## 1139 East Germany
## 1140 Kenya
## 1141 United States
## 1142 United States
## 1143 Great Britain
## 1144 Marie-RoseDaniel SangoumaGilles QuenehervéMax Morinière
## 1145 (FRG)Norbert DobeleitEdgar IttJörg VaihingerRalf LübkeMark Henrich*Bodo Kuhn*
## 1146 Salah Djibouti
## 1147 Italy
## 1148 East Germany
## 1149 Soviet Union
## 1150 Sweden
## 1151 Soviet Union
## 1152 United States
## 1153 Soviet Union
## 1154 Switzerland
## 1155 West Germany
## 1156 Soviet Union
## 1157 Finland
## 1158 Canada
## 1159 Canada
## 1160 United States
## 1161 United States
## 1162 United States
## 1163 Abascal Spain
## 1164 Portugal
## 1165 Kenya
## 1166 Finland
## 1167 West Germany
## 1168 United States
## 1169 JohnsonTony SharpeDesai WilliamsSterling Hinds
## 1170 UtiMoses UgbusienRotimi PetersInnocent Egbunike
## 1171 Great Britain
## 1172 Italy
## 1173 Italy
## 1174 China
## 1175 United States
## 1176 France
## 1177 Italy
## 1178 Great Britain
## 1179 United States
## 1180 United States
## 1181 West Germany
## 1182 Sweden
## 1183 West Germany
## 1184 Bulgaria
## 1185 Jamaica
## 1186 East Germany
## 1187 Soviet Union
## 1188 Great Britain
## 1189 Finland
## 1190 Ethiopia
## 1191 Soviet Union
## 1192 Great Britain
## 1193 Ethiopia
## 1194 BarrePascal BarreHermann PanzoAntoine Richard
## 1195 TozziMauro ZulianiStefano MalinverniPietro Mennea
## 1196 Soviet Union
## 1197 East Germany
## 1198 Soviet Union
## 1199 East Germany
## 1200 <NA>
## 1201 Soviet Union
## 1202 de Oliveira Brazil
## 1203 East Germany
## 1204 Cuba
## 1205 Soviet Union
## 1206 East Germany
## 1207 Soviet Union
## 1208 Soviet Union
## 1209 United States
## 1210 United States
## 1211 United States
## 1212 West Germany
## 1213 West Germany
## 1214 Great Britain
## 1215 United States
## 1216 Soviet Union
## 1217 East Germany
## 1218 (URS)Aleksandr AksininNikolay KolesnikovJuris SilovsValeriy Borzov
## 1219 (FRG)Franz-Peter HofmeisterLothar KriegHarald SchmidBernd Herrmann
## 1220 Belgium
## 1221 East Germany
## 1222 United States
## 1223 United States
## 1224 East Germany
## 1225 de Oliveira Brazil
## 1226 Soviet Union
## 1227 United States
## 1228 Soviet Union
## 1229 Romania
## 1230 Soviet Union
## 1231 Jamaica
## 1232 Italy
## 1233 Kenya
## 1234 Kenya
## 1235 New Zealand
## 1236 Great Britain
## 1237 Ethiopia
## 1238 United States
## 1239 Great Britain
## 1240 Finland
## 1241 (FRG)Jobst HirschtKarlheinz KlotzGerhard WuchererKlaus Ehl
## 1242 BertouldDaniel VelasquesFrancis KerbiriouJacques Carette
## 1243 Ethiopia
## 1244 East Germany
## 1245 United States
## 1246 United States
## 1247 United States
## 1248 United States
## 1249 Brazil
## 1250 East Germany
## 1251 Sweden
## 1252 Soviet Union
## 1253 United States
## 1254 Poland
## 1255 United States
## 1256 United States
## 1257 United States
## 1258 United States
## 1259 West Germany
## 1260 Kenya
## 1261 Tunisia
## 1262 Italy
## 1263 Great Britain
## 1264 United States
## 1265 FenouilJocelyn DelecourClaude PiquemalRoger Bambuck
## 1266 (FRG)Helmar MüllerManfred KinderGerhard HennigeMartin Jellinghaus
## 1267 New Zealand
## 1268 Soviet Union
## 1269 United States
## 1270 Soviet Union
## 1271 East Germany
## 1272 United States
## 1273 Italy
## 1274 Soviet Union
## 1275 Czechoslovakia
## 1276 Hungary
## 1277 Hungary
## 1278 West Germany
## 1279 Canada
## 1280 Trinidad and Tobago
## 1281 Poland
## 1282 Kenya
## 1283 New Zealand
## 1284 United States
## 1285 Australia
## 1286 Soviet Union
## 1287 Italy
## 1288 Soviet Union
## 1289 GenevayBernard LaidebeurClaude PiquemalJocelyn Delecour
## 1290 Tobago (TRI)Edwin SkinnerKent BernardEdwin RobertsWendell Mottley
## 1291 Japan
## 1292 Soviet Union
## 1293 Sweden
## 1294 United States
## 1295 United Team of Germany
## 1296 Soviet Union
## 1297 Soviet Union
## 1298 Hungary
## 1299 United States
## 1300 United Team of Germany
## 1301 Soviet Union
## 1302 United Team of Germany
## 1303 Great Britain
## 1304 France
## 1305 South Africa
## 1306 British West Indies
## 1307 Hungary
## 1308 Poland
## 1309 Australia
## 1310 United States
## 1311 United States
## 1312 Soviet Union
## 1313 (GBR)Peter RadfordDavid JonesDavid SegalNick Whitehead
## 1314 Indies (BWI)George KerrJames WedderburnKeith GardnerMalcolm Spence
## 1315 New Zealand
## 1316 Great Britain
## 1317 Italy
## 1318 United States
## 1319 Finland
## 1320 Soviet Union
## 1321 Soviet Union
## 1322 United States
## 1323 United States
## 1324 Poland
## 1325 Hungary
## 1326 Soviet Union
## 1327 Australia
## 1328 United States
## 1329 Finland
## 1330 Soviet Union
## 1331 Norway
## 1332 Australia
## 1333 Great Britain
## 1334 Australia
## 1335 United States
## 1336 United States
## 1337 Norway
## 1338 of Germany (EUA)Heinz FüttererManfred GermarLothar KnörzerLeonhard Pohl
## 1339 (GBR)Peter HigginsDerek JohnsonJohn SalisburyMichael Wheeler
## 1340 Finland
## 1341 Soviet Union
## 1342 Sweden
## 1343 Soviet Union
## 1344 Greece
## 1345 Finland
## 1346 Soviet Union
## 1347 Czechoslovakia
## 1348 United States
## 1349 Soviet Union
## 1350 Soviet Union
## 1351 Soviet Union
## 1352 Great Britain
## 1353 United States
## 1354 United States
## 1355 Germany
## 1356 Germany
## 1357 Germany
## 1358 Soviet Union
## 1359 United States
## 1360 New Zealand
## 1361 Great Britain
## 1362 ZarándiGéza VarasdiGyörgy CsányiBéla Goldoványi
## 1363 SteinesHans GeisterHeinz UlzheimerKarl-Friedrich Haas
## 1364 Sweden
## 1365 Soviet Union
## 1366 Hungary
## 1367 Conceição Brazil
## 1368 Sweden
## 1369 Hungary
## 1370 Venezuela
## 1371 United States
## 1372 United States
## 1373 Hungary
## 1374 Finland
## 1375 United States
## 1376 Panama
## 1377 Panama
## 1378 United States
## 1379 France
## 1380 Netherlands
## 1381 Netherlands
## 1382 Sweden
## 1383 United States
## 1384 Sweden
## 1385 Sweden
## 1386 TitoEnrico PerucconiCarlo MontiAntonio Siddi
## 1387 LundquistLars-Erik WolfbrandtFolke AlnevikRune Larsson
## 1388 Belgium
## 1389 Switzerland
## 1390 Johnson Great Britain
## 1391 United States
## 1392 United States
## 1393 United States
## 1394 Turkey
## 1395 United States
## 1396 United States
## 1397 United States
## 1398 Hungary
## 1399 United States
## 1400 Netherlands
## 1401 Netherlands
## 1402 United States
## 1403 Canada
## 1404 Italy
## 1405 Sweden
## 1406 Finland
## 1407 United States
## 1408 Philippines
## 1409 Germany
## 1410 LeichumErich BorchmeyerErwin GillmeisterGerd Hornberger
## 1411 HamannFriedrich Von StülpnagelHarry VoigtRudolf Harbig
## 1412 Japan[1]
## 1413 Latvia
## 1414 United States
## 1415 Japan
## 1416 Japan
## 1417 Australia
## 1418 Germany
## 1419 Italy
## 1420 Sweden
## 1421 Finland
## 1422 United States
## Host.City Host.Country
## 1 Rio de Janeiro Brazil
## 2 Rio de Janeiro Brazil
## 3 Rio de Janeiro Brazil
## 4 Rio de Janeiro Brazil
## 5 Rio de Janeiro Brazil
## 6 Rio de Janeiro Brazil
## 7 Rio de Janeiro Brazil
## 8 Rio de Janeiro Brazil
## 9 Rio de Janeiro Brazil
## 10 Rio de Janeiro Brazil
## 11 Rio de Janeiro Brazil
## 12 Rio de Janeiro Brazil
## 13 Rio de Janeiro Brazil
## 14 Rio de Janeiro Brazil
## 15 Rio de Janeiro Brazil
## 16 Rio de Janeiro Brazil
## 17 Rio de Janeiro Brazil
## 18 Rio de Janeiro Brazil
## 19 Rio de Janeiro Brazil
## 20 Rio de Janeiro Brazil
## 21 Rio de Janeiro Brazil
## 22 Rio de Janeiro Brazil
## 23 Rio de Janeiro Brazil
## 24 Rio de Janeiro Brazil
## 25 Rio de Janeiro Brazil
## 26 Rio de Janeiro Brazil
## 27 Rio de Janeiro Brazil
## 28 Rio de Janeiro Brazil
## 29 Rio de Janeiro Brazil
## 30 London Great Britain
## 31 London Great Britain
## 32 London Great Britain
## 33 London Great Britain
## 34 London Great Britain
## 35 London Great Britain
## 36 London Great Britain
## 37 London Great Britain
## 38 London Great Britain
## 39 London Great Britain
## 40 London Great Britain
## 41 London Great Britain
## 42 London Great Britain
## 43 London Great Britain
## 44 London Great Britain
## 45 London Great Britain
## 46 London Great Britain
## 47 London Great Britain
## 48 London Great Britain
## 49 London Great Britain
## 50 London Great Britain
## 51 London Great Britain
## 52 London Great Britain
## 53 London Great Britain
## 54 London Great Britain
## 55 London Great Britain
## 56 London Great Britain
## 57 London Great Britain
## 58 London Great Britain
## 59 Beijing China
## 60 Beijing China
## 61 Beijing China
## 62 Beijing China
## 63 Beijing China
## 64 Beijing China
## 65 Beijing China
## 66 Beijing China
## 67 Beijing China
## 68 Beijing China
## 69 Beijing China
## 70 Beijing China
## 71 Beijing China
## 72 Beijing China
## 73 Beijing China
## 74 Beijing China
## 75 Beijing China
## 76 Beijing China
## 77 Beijing China
## 78 Beijing China
## 79 Beijing China
## 80 Beijing China
## 81 Beijing China
## 82 Beijing China
## 83 Athens Greece
## 84 Athens Greece
## 85 Athens Greece
## 86 Athens Greece
## 87 Athens Greece
## 88 Athens Greece
## 89 Athens Greece
## 90 Athens Greece
## 91 Athens Greece
## 92 Athens Greece
## 93 Athens Greece
## 94 Athens Greece
## 95 Athens Greece
## 96 Athens Greece
## 97 Athens Greece
## 98 Athens Greece
## 99 Athens Greece
## 100 Athens Greece
## 101 Athens Greece
## 102 Athens Greece
## 103 Athens Greece
## 104 Athens Greece
## 105 Athens Greece
## 106 Athens Greece
## 107 Athens Greece
## 108 Athens Greece
## 109 Athens Greece
## 110 Athens Greece
## 111 Athens Greece
## 112 Sydney Australia
## 113 Sydney Australia
## 114 Sydney Australia
## 115 Sydney Australia
## 116 Sydney Australia
## 117 Sydney Australia
## 118 Sydney Australia
## 119 Sydney Australia
## 120 Sydney Australia
## 121 Sydney Australia
## 122 Sydney Australia
## 123 Sydney Australia
## 124 Sydney Australia
## 125 Sydney Australia
## 126 Sydney Australia
## 127 Sydney Australia
## 128 Sydney Australia
## 129 Sydney Australia
## 130 Sydney Australia
## 131 Sydney Australia
## 132 Sydney Australia
## 133 Sydney Australia
## 134 Sydney Australia
## 135 Sydney Australia
## 136 Atlanta USA
## 137 Atlanta USA
## 138 Atlanta USA
## 139 Atlanta USA
## 140 Atlanta USA
## 141 Atlanta USA
## 142 Atlanta USA
## 143 Atlanta USA
## 144 Atlanta USA
## 145 Atlanta USA
## 146 Atlanta USA
## 147 Atlanta USA
## 148 Atlanta USA
## 149 Atlanta USA
## 150 Atlanta USA
## 151 Atlanta USA
## 152 Atlanta USA
## 153 Atlanta USA
## 154 Atlanta USA
## 155 Atlanta USA
## 156 Atlanta USA
## 157 Atlanta USA
## 158 Atlanta USA
## 159 Atlanta USA
## 160 Barcelona Spain
## 161 Barcelona Spain
## 162 Barcelona Spain
## 163 Barcelona Spain
## 164 Barcelona Spain
## 165 Barcelona Spain
## 166 Barcelona Spain
## 167 Barcelona Spain
## 168 Barcelona Spain
## 169 Barcelona Spain
## 170 Barcelona Spain
## 171 Barcelona Spain
## 172 Barcelona Spain
## 173 Barcelona Spain
## 174 Barcelona Spain
## 175 Barcelona Spain
## 176 Barcelona Spain
## 177 Barcelona Spain
## 178 Barcelona Spain
## 179 Barcelona Spain
## 180 Barcelona Spain
## 181 Barcelona Spain
## 182 Barcelona Spain
## 183 Barcelona Spain
## 184 Barcelona Spain
## 185 Barcelona Spain
## 186 Seoul South Korea
## 187 Seoul South Korea
## 188 Seoul South Korea
## 189 Seoul South Korea
## 190 Seoul South Korea
## 191 Seoul South Korea
## 192 Seoul South Korea
## 193 Seoul South Korea
## 194 Seoul South Korea
## 195 Seoul South Korea
## 196 Seoul South Korea
## 197 Seoul South Korea
## 198 Seoul South Korea
## 199 Seoul South Korea
## 200 Seoul South Korea
## 201 Seoul South Korea
## 202 Seoul South Korea
## 203 Seoul South Korea
## 204 Seoul South Korea
## 205 Seoul South Korea
## 206 Seoul South Korea
## 207 Seoul South Korea
## 208 Seoul South Korea
## 209 Seoul South Korea
## 210 Seoul South Korea
## 211 Los Angeles USA
## 212 Los Angeles USA
## 213 Los Angeles USA
## 214 Los Angeles USA
## 215 Los Angeles USA
## 216 Los Angeles USA
## 217 Los Angeles USA
## 218 Los Angeles USA
## 219 Los Angeles USA
## 220 Los Angeles USA
## 221 Los Angeles USA
## 222 Los Angeles USA
## 223 Los Angeles USA
## 224 Los Angeles USA
## 225 Los Angeles USA
## 226 Los Angeles USA
## 227 Los Angeles USA
## 228 Los Angeles USA
## 229 Los Angeles USA
## 230 Los Angeles USA
## 231 Los Angeles USA
## 232 Los Angeles USA
## 233 Los Angeles USA
## 234 Los Angeles USA
## 235 Los Angeles USA
## 236 Moscow Russia
## 237 Moscow Russia
## 238 Moscow Russia
## 239 Moscow Russia
## 240 Moscow Russia
## 241 Moscow Russia
## 242 Moscow Russia
## 243 Moscow Russia
## 244 Moscow Russia
## 245 Moscow Russia
## 246 Moscow Russia
## 247 Moscow Russia
## 248 Moscow Russia
## 249 Moscow Russia
## 250 Moscow Russia
## 251 Moscow Russia
## 252 Moscow Russia
## 253 Moscow Russia
## 254 Moscow Russia
## 255 Moscow Russia
## 256 Moscow Russia
## 257 Moscow Russia
## 258 Moscow Russia
## 259 Moscow Russia
## 260 Montreal Canada
## 261 Montreal Canada
## 262 Montreal Canada
## 263 Montreal Canada
## 264 Montreal Canada
## 265 Montreal Canada
## 266 Montreal Canada
## 267 Montreal Canada
## 268 Montreal Canada
## 269 Montreal Canada
## 270 Montreal Canada
## 271 Montreal Canada
## 272 Montreal Canada
## 273 Montreal Canada
## 274 Montreal Canada
## 275 Montreal Canada
## 276 Montreal Canada
## 277 Montreal Canada
## 278 Montreal Canada
## 279 Montreal Canada
## 280 Montreal Canada
## 281 Montreal Canada
## 282 Montreal Canada
## 283 Munich Germany
## 284 Munich Germany
## 285 Munich Germany
## 286 Munich Germany
## 287 Munich Germany
## 288 Munich Germany
## 289 Munich Germany
## 290 Munich Germany
## 291 Munich Germany
## 292 Munich Germany
## 293 Munich Germany
## 294 Munich Germany
## 295 Munich Germany
## 296 Munich Germany
## 297 Munich Germany
## 298 Munich Germany
## 299 Munich Germany
## 300 Munich Germany
## 301 Munich Germany
## 302 Munich Germany
## 303 Munich Germany
## 304 Munich Germany
## 305 Munich Germany
## 306 Munich Germany
## 307 Mexico City Mexico
## 308 Mexico City Mexico
## 309 Mexico City Mexico
## 310 Mexico City Mexico
## 311 Mexico City Mexico
## 312 Mexico City Mexico
## 313 Mexico City Mexico
## 314 Mexico City Mexico
## 315 Mexico City Mexico
## 316 Mexico City Mexico
## 317 Mexico City Mexico
## 318 Mexico City Mexico
## 319 Mexico City Mexico
## 320 Mexico City Mexico
## 321 Mexico City Mexico
## 322 Mexico City Mexico
## 323 Mexico City Mexico
## 324 Mexico City Mexico
## 325 Mexico City Mexico
## 326 Mexico City Mexico
## 327 Mexico City Mexico
## 328 Mexico City Mexico
## 329 Mexico City Mexico
## 330 Mexico City Mexico
## 331 Tokyo Japan
## 332 Tokyo Japan
## 333 Tokyo Japan
## 334 Tokyo Japan
## 335 Tokyo Japan
## 336 Tokyo Japan
## 337 Tokyo Japan
## 338 Tokyo Japan
## 339 Tokyo Japan
## 340 Tokyo Japan
## 341 Tokyo Japan
## 342 Tokyo Japan
## 343 Tokyo Japan
## 344 Tokyo Japan
## 345 Tokyo Japan
## 346 Tokyo Japan
## 347 Tokyo Japan
## 348 Tokyo Japan
## 349 Tokyo Japan
## 350 Tokyo Japan
## 351 Tokyo Japan
## 352 Tokyo Japan
## 353 Tokyo Japan
## 354 Tokyo Japan
## 355 Rome Italy
## 356 Rome Italy
## 357 Rome Italy
## 358 Rome Italy
## 359 Rome Italy
## 360 Rome Italy
## 361 Rome Italy
## 362 Rome Italy
## 363 Rome Italy
## 364 Rome Italy
## 365 Rome Italy
## 366 Rome Italy
## 367 Rome Italy
## 368 Rome Italy
## 369 Rome Italy
## 370 Rome Italy
## 371 Rome Italy
## 372 Rome Italy
## 373 Rome Italy
## 374 Rome Italy
## 375 Rome Italy
## 376 Rome Italy
## 377 Rome Italy
## 378 Rome Italy
## 379 Melbourne Australia
## 380 Melbourne Australia
## 381 Melbourne Australia
## 382 Melbourne Australia
## 383 Melbourne Australia
## 384 Melbourne Australia
## 385 Melbourne Australia
## 386 Melbourne Australia
## 387 Melbourne Australia
## 388 Melbourne Australia
## 389 Melbourne Australia
## 390 Melbourne Australia
## 391 Melbourne Australia
## 392 Melbourne Australia
## 393 Melbourne Australia
## 394 Melbourne Australia
## 395 Melbourne Australia
## 396 Melbourne Australia
## 397 Melbourne Australia
## 398 Melbourne Australia
## 399 Melbourne Australia
## 400 Melbourne Australia
## 401 Melbourne Australia
## 402 Melbourne Australia
## 403 Melbourne Australia
## 404 Helsinki Finland
## 405 Helsinki Finland
## 406 Helsinki Finland
## 407 Helsinki Finland
## 408 Helsinki Finland
## 409 Helsinki Finland
## 410 Helsinki Finland
## 411 Helsinki Finland
## 412 Helsinki Finland
## 413 Helsinki Finland
## 414 Helsinki Finland
## 415 Helsinki Finland
## 416 Helsinki Finland
## 417 Helsinki Finland
## 418 Helsinki Finland
## 419 Helsinki Finland
## 420 Helsinki Finland
## 421 Helsinki Finland
## 422 Helsinki Finland
## 423 Helsinki Finland
## 424 Helsinki Finland
## 425 Helsinki Finland
## 426 Helsinki Finland
## 427 Helsinki Finland
## 428 London Great Britain
## 429 London Great Britain
## 430 London Great Britain
## 431 London Great Britain
## 432 London Great Britain
## 433 London Great Britain
## 434 London Great Britain
## 435 London Great Britain
## 436 London Great Britain
## 437 London Great Britain
## 438 London Great Britain
## 439 London Great Britain
## 440 London Great Britain
## 441 London Great Britain
## 442 London Great Britain
## 443 London Great Britain
## 444 London Great Britain
## 445 London Great Britain
## 446 London Great Britain
## 447 London Great Britain
## 448 London Great Britain
## 449 London Great Britain
## 450 London Great Britain
## 451 London Great Britain
## 452 Berlin Germany
## 453 Berlin Germany
## 454 Berlin Germany
## 455 Berlin Germany
## 456 Berlin Germany
## 457 Berlin Germany
## 458 Berlin Germany
## 459 Berlin Germany
## 460 Berlin Germany
## 461 Berlin Germany
## 462 Berlin Germany
## 463 Berlin Germany
## 464 Berlin Germany
## 465 Berlin Germany
## 466 Berlin Germany
## 467 Berlin Germany
## 468 Berlin Germany
## 469 Berlin Germany
## 470 Berlin Germany
## 471 Berlin Germany
## 472 Berlin Germany
## 473 Berlin Germany
## 474 Berlin Germany
## 475 Rio de Janeiro Brazil
## 476 Rio de Janeiro Brazil
## 477 Rio de Janeiro Brazil
## 478 Rio de Janeiro Brazil
## 479 Rio de Janeiro Brazil
## 480 Rio de Janeiro Brazil
## 481 Rio de Janeiro Brazil
## 482 Rio de Janeiro Brazil
## 483 Rio de Janeiro Brazil
## 484 Rio de Janeiro Brazil
## 485 Rio de Janeiro Brazil
## 486 Rio de Janeiro Brazil
## 487 Rio de Janeiro Brazil
## 488 Rio de Janeiro Brazil
## 489 Rio de Janeiro Brazil
## 490 Rio de Janeiro Brazil
## 491 Rio de Janeiro Brazil
## 492 Rio de Janeiro Brazil
## 493 Rio de Janeiro Brazil
## 494 Rio de Janeiro Brazil
## 495 Rio de Janeiro Brazil
## 496 Rio de Janeiro Brazil
## 497 Rio de Janeiro Brazil
## 498 Rio de Janeiro Brazil
## 499 Rio de Janeiro Brazil
## 500 Rio de Janeiro Brazil
## 501 Rio de Janeiro Brazil
## 502 Rio de Janeiro Brazil
## 503 Rio de Janeiro Brazil
## 504 London Great Britain
## 505 London Great Britain
## 506 London Great Britain
## 507 London Great Britain
## 508 London Great Britain
## 509 London Great Britain
## 510 London Great Britain
## 511 London Great Britain
## 512 London Great Britain
## 513 London Great Britain
## 514 London Great Britain
## 515 London Great Britain
## 516 London Great Britain
## 517 London Great Britain
## 518 London Great Britain
## 519 London Great Britain
## 520 London Great Britain
## 521 London Great Britain
## 522 London Great Britain
## 523 London Great Britain
## 524 London Great Britain
## 525 London Great Britain
## 526 London Great Britain
## 527 London Great Britain
## 528 London Great Britain
## 529 London Great Britain
## 530 London Great Britain
## 531 London Great Britain
## 532 London Great Britain
## 533 Beijing China
## 534 Beijing China
## 535 Beijing China
## 536 Beijing China
## 537 Beijing China
## 538 Beijing China
## 539 Beijing China
## 540 Beijing China
## 541 Beijing China
## 542 Beijing China
## 543 Beijing China
## 544 Beijing China
## 545 Beijing China
## 546 Beijing China
## 547 Beijing China
## 548 Beijing China
## 549 Beijing China
## 550 Beijing China
## 551 Beijing China
## 552 Beijing China
## 553 Beijing China
## 554 Beijing China
## 555 Beijing China
## 556 Beijing China
## 557 Athens Greece
## 558 Athens Greece
## 559 Athens Greece
## 560 Athens Greece
## 561 Athens Greece
## 562 Athens Greece
## 563 Athens Greece
## 564 Athens Greece
## 565 Athens Greece
## 566 Athens Greece
## 567 Athens Greece
## 568 Athens Greece
## 569 Athens Greece
## 570 Athens Greece
## 571 Athens Greece
## 572 Athens Greece
## 573 Athens Greece
## 574 Athens Greece
## 575 Athens Greece
## 576 Athens Greece
## 577 Athens Greece
## 578 Athens Greece
## 579 Athens Greece
## 580 Athens Greece
## 581 Athens Greece
## 582 Athens Greece
## 583 Athens Greece
## 584 Athens Greece
## 585 Athens Greece
## 586 Sydney Australia
## 587 Sydney Australia
## 588 Sydney Australia
## 589 Sydney Australia
## 590 Sydney Australia
## 591 Sydney Australia
## 592 Sydney Australia
## 593 Sydney Australia
## 594 Sydney Australia
## 595 Sydney Australia
## 596 Sydney Australia
## 597 Sydney Australia
## 598 Sydney Australia
## 599 Sydney Australia
## 600 Sydney Australia
## 601 Sydney Australia
## 602 Sydney Australia
## 603 Sydney Australia
## 604 Sydney Australia
## 605 Sydney Australia
## 606 Sydney Australia
## 607 Sydney Australia
## 608 Sydney Australia
## 609 Sydney Australia
## 610 Atlanta USA
## 611 Atlanta USA
## 612 Atlanta USA
## 613 Atlanta USA
## 614 Atlanta USA
## 615 Atlanta USA
## 616 Atlanta USA
## 617 Atlanta USA
## 618 Atlanta USA
## 619 Atlanta USA
## 620 Atlanta USA
## 621 Atlanta USA
## 622 Atlanta USA
## 623 Atlanta USA
## 624 Atlanta USA
## 625 Atlanta USA
## 626 Atlanta USA
## 627 Atlanta USA
## 628 Atlanta USA
## 629 Atlanta USA
## 630 Atlanta USA
## 631 Atlanta USA
## 632 Atlanta USA
## 633 Atlanta USA
## 634 Barcelona Spain
## 635 Barcelona Spain
## 636 Barcelona Spain
## 637 Barcelona Spain
## 638 Barcelona Spain
## 639 Barcelona Spain
## 640 Barcelona Spain
## 641 Barcelona Spain
## 642 Barcelona Spain
## 643 Barcelona Spain
## 644 Barcelona Spain
## 645 Barcelona Spain
## 646 Barcelona Spain
## 647 Barcelona Spain
## 648 Barcelona Spain
## 649 Barcelona Spain
## 650 Barcelona Spain
## 651 Barcelona Spain
## 652 Barcelona Spain
## 653 Barcelona Spain
## 654 Barcelona Spain
## 655 Barcelona Spain
## 656 Barcelona Spain
## 657 Barcelona Spain
## 658 Barcelona Spain
## 659 Barcelona Spain
## 660 Seoul South Korea
## 661 Seoul South Korea
## 662 Seoul South Korea
## 663 Seoul South Korea
## 664 Seoul South Korea
## 665 Seoul South Korea
## 666 Seoul South Korea
## 667 Seoul South Korea
## 668 Seoul South Korea
## 669 Seoul South Korea
## 670 Seoul South Korea
## 671 Seoul South Korea
## 672 Seoul South Korea
## 673 Seoul South Korea
## 674 Seoul South Korea
## 675 Seoul South Korea
## 676 Seoul South Korea
## 677 Seoul South Korea
## 678 Seoul South Korea
## 679 Seoul South Korea
## 680 Seoul South Korea
## 681 Seoul South Korea
## 682 Seoul South Korea
## 683 Seoul South Korea
## 684 Seoul South Korea
## 685 Los Angeles USA
## 686 Los Angeles USA
## 687 Los Angeles USA
## 688 Los Angeles USA
## 689 Los Angeles USA
## 690 Los Angeles USA
## 691 Los Angeles USA
## 692 Los Angeles USA
## 693 Los Angeles USA
## 694 Los Angeles USA
## 695 Los Angeles USA
## 696 Los Angeles USA
## 697 Los Angeles USA
## 698 Los Angeles USA
## 699 Los Angeles USA
## 700 Los Angeles USA
## 701 Los Angeles USA
## 702 Los Angeles USA
## 703 Los Angeles USA
## 704 Los Angeles USA
## 705 Los Angeles USA
## 706 Los Angeles USA
## 707 Los Angeles USA
## 708 Los Angeles USA
## 709 Los Angeles USA
## 710 Moscow Russia
## 711 Moscow Russia
## 712 Moscow Russia
## 713 Moscow Russia
## 714 Moscow Russia
## 715 Moscow Russia
## 716 Moscow Russia
## 717 Moscow Russia
## 718 Moscow Russia
## 719 Moscow Russia
## 720 Moscow Russia
## 721 Moscow Russia
## 722 Moscow Russia
## 723 Moscow Russia
## 724 Moscow Russia
## 725 Moscow Russia
## 726 Moscow Russia
## 727 Moscow Russia
## 728 Moscow Russia
## 729 Moscow Russia
## 730 Moscow Russia
## 731 Moscow Russia
## 732 Moscow Russia
## 733 Moscow Russia
## 734 Montreal Canada
## 735 Montreal Canada
## 736 Montreal Canada
## 737 Montreal Canada
## 738 Montreal Canada
## 739 Montreal Canada
## 740 Montreal Canada
## 741 Montreal Canada
## 742 Montreal Canada
## 743 Montreal Canada
## 744 Montreal Canada
## 745 Montreal Canada
## 746 Montreal Canada
## 747 Montreal Canada
## 748 Montreal Canada
## 749 Montreal Canada
## 750 Montreal Canada
## 751 Montreal Canada
## 752 Montreal Canada
## 753 Montreal Canada
## 754 Montreal Canada
## 755 Montreal Canada
## 756 Montreal Canada
## 757 Munich Germany
## 758 Munich Germany
## 759 Munich Germany
## 760 Munich Germany
## 761 Munich Germany
## 762 Munich Germany
## 763 Munich Germany
## 764 Munich Germany
## 765 Munich Germany
## 766 Munich Germany
## 767 Munich Germany
## 768 Munich Germany
## 769 Munich Germany
## 770 Munich Germany
## 771 Munich Germany
## 772 Munich Germany
## 773 Munich Germany
## 774 Munich Germany
## 775 Munich Germany
## 776 Munich Germany
## 777 Munich Germany
## 778 Munich Germany
## 779 Munich Germany
## 780 Munich Germany
## 781 Mexico City Mexico
## 782 Mexico City Mexico
## 783 Mexico City Mexico
## 784 Mexico City Mexico
## 785 Mexico City Mexico
## 786 Mexico City Mexico
## 787 Mexico City Mexico
## 788 Mexico City Mexico
## 789 Mexico City Mexico
## 790 Mexico City Mexico
## 791 Mexico City Mexico
## 792 Mexico City Mexico
## 793 Mexico City Mexico
## 794 Mexico City Mexico
## 795 Mexico City Mexico
## 796 Mexico City Mexico
## 797 Mexico City Mexico
## 798 Mexico City Mexico
## 799 Mexico City Mexico
## 800 Mexico City Mexico
## 801 Mexico City Mexico
## 802 Mexico City Mexico
## 803 Mexico City Mexico
## 804 Mexico City Mexico
## 805 Tokyo Japan
## 806 Tokyo Japan
## 807 Tokyo Japan
## 808 Tokyo Japan
## 809 Tokyo Japan
## 810 Tokyo Japan
## 811 Tokyo Japan
## 812 Tokyo Japan
## 813 Tokyo Japan
## 814 Tokyo Japan
## 815 Tokyo Japan
## 816 Tokyo Japan
## 817 Tokyo Japan
## 818 Tokyo Japan
## 819 Tokyo Japan
## 820 Tokyo Japan
## 821 Tokyo Japan
## 822 Tokyo Japan
## 823 Tokyo Japan
## 824 Tokyo Japan
## 825 Tokyo Japan
## 826 Tokyo Japan
## 827 Tokyo Japan
## 828 Tokyo Japan
## 829 Rome Italy
## 830 Rome Italy
## 831 Rome Italy
## 832 Rome Italy
## 833 Rome Italy
## 834 Rome Italy
## 835 Rome Italy
## 836 Rome Italy
## 837 Rome Italy
## 838 Rome Italy
## 839 Rome Italy
## 840 Rome Italy
## 841 Rome Italy
## 842 Rome Italy
## 843 Rome Italy
## 844 Rome Italy
## 845 Rome Italy
## 846 Rome Italy
## 847 Rome Italy
## 848 Rome Italy
## 849 Rome Italy
## 850 Rome Italy
## 851 Rome Italy
## 852 Rome Italy
## 853 Melbourne Australia
## 854 Melbourne Australia
## 855 Melbourne Australia
## 856 Melbourne Australia
## 857 Melbourne Australia
## 858 Melbourne Australia
## 859 Melbourne Australia
## 860 Melbourne Australia
## 861 Melbourne Australia
## 862 Melbourne Australia
## 863 Melbourne Australia
## 864 Melbourne Australia
## 865 Melbourne Australia
## 866 Melbourne Australia
## 867 Melbourne Australia
## 868 Melbourne Australia
## 869 Melbourne Australia
## 870 Melbourne Australia
## 871 Melbourne Australia
## 872 Melbourne Australia
## 873 Melbourne Australia
## 874 Melbourne Australia
## 875 Melbourne Australia
## 876 Melbourne Australia
## 877 Melbourne Australia
## 878 Helsinki Finland
## 879 Helsinki Finland
## 880 Helsinki Finland
## 881 Helsinki Finland
## 882 Helsinki Finland
## 883 Helsinki Finland
## 884 Helsinki Finland
## 885 Helsinki Finland
## 886 Helsinki Finland
## 887 Helsinki Finland
## 888 Helsinki Finland
## 889 Helsinki Finland
## 890 Helsinki Finland
## 891 Helsinki Finland
## 892 Helsinki Finland
## 893 Helsinki Finland
## 894 Helsinki Finland
## 895 Helsinki Finland
## 896 Helsinki Finland
## 897 Helsinki Finland
## 898 Helsinki Finland
## 899 Helsinki Finland
## 900 Helsinki Finland
## 901 Helsinki Finland
## 902 London Great Britain
## 903 London Great Britain
## 904 London Great Britain
## 905 London Great Britain
## 906 London Great Britain
## 907 London Great Britain
## 908 London Great Britain
## 909 London Great Britain
## 910 London Great Britain
## 911 London Great Britain
## 912 London Great Britain
## 913 London Great Britain
## 914 London Great Britain
## 915 London Great Britain
## 916 London Great Britain
## 917 London Great Britain
## 918 London Great Britain
## 919 London Great Britain
## 920 London Great Britain
## 921 London Great Britain
## 922 London Great Britain
## 923 London Great Britain
## 924 London Great Britain
## 925 London Great Britain
## 926 Berlin Germany
## 927 Berlin Germany
## 928 Berlin Germany
## 929 Berlin Germany
## 930 Berlin Germany
## 931 Berlin Germany
## 932 Berlin Germany
## 933 Berlin Germany
## 934 Berlin Germany
## 935 Berlin Germany
## 936 Berlin Germany
## 937 Berlin Germany
## 938 Berlin Germany
## 939 Berlin Germany
## 940 Berlin Germany
## 941 Berlin Germany
## 942 Berlin Germany
## 943 Berlin Germany
## 944 Berlin Germany
## 945 Berlin Germany
## 946 Berlin Germany
## 947 Berlin Germany
## 948 Berlin Germany
## 949 Rio de Janeiro Brazil
## 950 Rio de Janeiro Brazil
## 951 Rio de Janeiro Brazil
## 952 Rio de Janeiro Brazil
## 953 Rio de Janeiro Brazil
## 954 Rio de Janeiro Brazil
## 955 Rio de Janeiro Brazil
## 956 Rio de Janeiro Brazil
## 957 Rio de Janeiro Brazil
## 958 Rio de Janeiro Brazil
## 959 Rio de Janeiro Brazil
## 960 Rio de Janeiro Brazil
## 961 Rio de Janeiro Brazil
## 962 Rio de Janeiro Brazil
## 963 Rio de Janeiro Brazil
## 964 Rio de Janeiro Brazil
## 965 Rio de Janeiro Brazil
## 966 Rio de Janeiro Brazil
## 967 Rio de Janeiro Brazil
## 968 Rio de Janeiro Brazil
## 969 Rio de Janeiro Brazil
## 970 Rio de Janeiro Brazil
## 971 Rio de Janeiro Brazil
## 972 Rio de Janeiro Brazil
## 973 Rio de Janeiro Brazil
## 974 Rio de Janeiro Brazil
## 975 Rio de Janeiro Brazil
## 976 Rio de Janeiro Brazil
## 977 Rio de Janeiro Brazil
## 978 London Great Britain
## 979 London Great Britain
## 980 London Great Britain
## 981 London Great Britain
## 982 London Great Britain
## 983 London Great Britain
## 984 London Great Britain
## 985 London Great Britain
## 986 London Great Britain
## 987 London Great Britain
## 988 London Great Britain
## 989 London Great Britain
## 990 London Great Britain
## 991 London Great Britain
## 992 London Great Britain
## 993 London Great Britain
## 994 London Great Britain
## 995 London Great Britain
## 996 London Great Britain
## 997 London Great Britain
## 998 London Great Britain
## 999 London Great Britain
## 1000 London Great Britain
## 1001 London Great Britain
## 1002 London Great Britain
## 1003 London Great Britain
## 1004 London Great Britain
## 1005 London Great Britain
## 1006 London Great Britain
## 1007 Beijing China
## 1008 Beijing China
## 1009 Beijing China
## 1010 Beijing China
## 1011 Beijing China
## 1012 Beijing China
## 1013 Beijing China
## 1014 Beijing China
## 1015 Beijing China
## 1016 Beijing China
## 1017 Beijing China
## 1018 Beijing China
## 1019 Beijing China
## 1020 Beijing China
## 1021 Beijing China
## 1022 Beijing China
## 1023 Beijing China
## 1024 Beijing China
## 1025 Beijing China
## 1026 Beijing China
## 1027 Beijing China
## 1028 Beijing China
## 1029 Beijing China
## 1030 Beijing China
## 1031 Athens Greece
## 1032 Athens Greece
## 1033 Athens Greece
## 1034 Athens Greece
## 1035 Athens Greece
## 1036 Athens Greece
## 1037 Athens Greece
## 1038 Athens Greece
## 1039 Athens Greece
## 1040 Athens Greece
## 1041 Athens Greece
## 1042 Athens Greece
## 1043 Athens Greece
## 1044 Athens Greece
## 1045 Athens Greece
## 1046 Athens Greece
## 1047 Athens Greece
## 1048 Athens Greece
## 1049 Athens Greece
## 1050 Athens Greece
## 1051 Athens Greece
## 1052 Athens Greece
## 1053 Athens Greece
## 1054 Athens Greece
## 1055 Athens Greece
## 1056 Athens Greece
## 1057 Athens Greece
## 1058 Athens Greece
## 1059 Athens Greece
## 1060 Sydney Australia
## 1061 Sydney Australia
## 1062 Sydney Australia
## 1063 Sydney Australia
## 1064 Sydney Australia
## 1065 Sydney Australia
## 1066 Sydney Australia
## 1067 Sydney Australia
## 1068 Sydney Australia
## 1069 Sydney Australia
## 1070 Sydney Australia
## 1071 Sydney Australia
## 1072 Sydney Australia
## 1073 Sydney Australia
## 1074 Sydney Australia
## 1075 Sydney Australia
## 1076 Sydney Australia
## 1077 Sydney Australia
## 1078 Sydney Australia
## 1079 Sydney Australia
## 1080 Sydney Australia
## 1081 Sydney Australia
## 1082 Sydney Australia
## 1083 Sydney Australia
## 1084 Atlanta USA
## 1085 Atlanta USA
## 1086 Atlanta USA
## 1087 Atlanta USA
## 1088 Atlanta USA
## 1089 Atlanta USA
## 1090 Atlanta USA
## 1091 Atlanta USA
## 1092 Atlanta USA
## 1093 Atlanta USA
## 1094 Atlanta USA
## 1095 Atlanta USA
## 1096 Atlanta USA
## 1097 Atlanta USA
## 1098 Atlanta USA
## 1099 Atlanta USA
## 1100 Atlanta USA
## 1101 Atlanta USA
## 1102 Atlanta USA
## 1103 Atlanta USA
## 1104 Atlanta USA
## 1105 Atlanta USA
## 1106 Atlanta USA
## 1107 Atlanta USA
## 1108 Barcelona Spain
## 1109 Barcelona Spain
## 1110 Barcelona Spain
## 1111 Barcelona Spain
## 1112 Barcelona Spain
## 1113 Barcelona Spain
## 1114 Barcelona Spain
## 1115 Barcelona Spain
## 1116 Barcelona Spain
## 1117 Barcelona Spain
## 1118 Barcelona Spain
## 1119 Barcelona Spain
## 1120 Barcelona Spain
## 1121 Barcelona Spain
## 1122 Barcelona Spain
## 1123 Barcelona Spain
## 1124 Barcelona Spain
## 1125 Barcelona Spain
## 1126 Barcelona Spain
## 1127 Barcelona Spain
## 1128 Barcelona Spain
## 1129 Barcelona Spain
## 1130 Barcelona Spain
## 1131 Barcelona Spain
## 1132 Barcelona Spain
## 1133 Barcelona Spain
## 1134 Seoul South Korea
## 1135 Seoul South Korea
## 1136 Seoul South Korea
## 1137 Seoul South Korea
## 1138 Seoul South Korea
## 1139 Seoul South Korea
## 1140 Seoul South Korea
## 1141 Seoul South Korea
## 1142 Seoul South Korea
## 1143 Seoul South Korea
## 1144 Seoul South Korea
## 1145 Seoul South Korea
## 1146 Seoul South Korea
## 1147 Seoul South Korea
## 1148 Seoul South Korea
## 1149 Seoul South Korea
## 1150 Seoul South Korea
## 1151 Seoul South Korea
## 1152 Seoul South Korea
## 1153 Seoul South Korea
## 1154 Seoul South Korea
## 1155 Seoul South Korea
## 1156 Seoul South Korea
## 1157 Seoul South Korea
## 1158 Seoul South Korea
## 1159 Los Angeles USA
## 1160 Los Angeles USA
## 1161 Los Angeles USA
## 1162 Los Angeles USA
## 1163 Los Angeles USA
## 1164 Los Angeles USA
## 1165 Los Angeles USA
## 1166 Los Angeles USA
## 1167 Los Angeles USA
## 1168 Los Angeles USA
## 1169 Los Angeles USA
## 1170 Los Angeles USA
## 1171 Los Angeles USA
## 1172 Los Angeles USA
## 1173 Los Angeles USA
## 1174 Los Angeles USA
## 1175 Los Angeles USA
## 1176 Los Angeles USA
## 1177 Los Angeles USA
## 1178 Los Angeles USA
## 1179 Los Angeles USA
## 1180 Los Angeles USA
## 1181 Los Angeles USA
## 1182 Los Angeles USA
## 1183 Los Angeles USA
## 1184 Moscow Russia
## 1185 Moscow Russia
## 1186 Moscow Russia
## 1187 Moscow Russia
## 1188 Moscow Russia
## 1189 Moscow Russia
## 1190 Moscow Russia
## 1191 Moscow Russia
## 1192 Moscow Russia
## 1193 Moscow Russia
## 1194 Moscow Russia
## 1195 Moscow Russia
## 1196 Moscow Russia
## 1197 Moscow Russia
## 1198 Moscow Russia
## 1199 Moscow Russia
## 1200 Moscow Russia
## 1201 Moscow Russia
## 1202 Moscow Russia
## 1203 Moscow Russia
## 1204 Moscow Russia
## 1205 Moscow Russia
## 1206 Moscow Russia
## 1207 Moscow Russia
## 1208 Montreal Canada
## 1209 Montreal Canada
## 1210 Montreal Canada
## 1211 Montreal Canada
## 1212 Montreal Canada
## 1213 Montreal Canada
## 1214 Montreal Canada
## 1215 Montreal Canada
## 1216 Montreal Canada
## 1217 Montreal Canada
## 1218 Montreal Canada
## 1219 Montreal Canada
## 1220 Montreal Canada
## 1221 Montreal Canada
## 1222 Montreal Canada
## 1223 Montreal Canada
## 1224 Montreal Canada
## 1225 Montreal Canada
## 1226 Montreal Canada
## 1227 Montreal Canada
## 1228 Montreal Canada
## 1229 Montreal Canada
## 1230 Montreal Canada
## 1231 Munich Germany
## 1232 Munich Germany
## 1233 Munich Germany
## 1234 Munich Germany
## 1235 Munich Germany
## 1236 Munich Germany
## 1237 Munich Germany
## 1238 Munich Germany
## 1239 Munich Germany
## 1240 Munich Germany
## 1241 Munich Germany
## 1242 Munich Germany
## 1243 Munich Germany
## 1244 Munich Germany
## 1245 Munich Germany
## 1246 Munich Germany
## 1247 Munich Germany
## 1248 Munich Germany
## 1249 Munich Germany
## 1250 Munich Germany
## 1251 Munich Germany
## 1252 Munich Germany
## 1253 Munich Germany
## 1254 Munich Germany
## 1255 Mexico City Mexico
## 1256 Mexico City Mexico
## 1257 Mexico City Mexico
## 1258 Mexico City Mexico
## 1259 Mexico City Mexico
## 1260 Mexico City Mexico
## 1261 Mexico City Mexico
## 1262 Mexico City Mexico
## 1263 Mexico City Mexico
## 1264 Mexico City Mexico
## 1265 Mexico City Mexico
## 1266 Mexico City Mexico
## 1267 Mexico City Mexico
## 1268 Mexico City Mexico
## 1269 Mexico City Mexico
## 1270 Mexico City Mexico
## 1271 Mexico City Mexico
## 1272 Mexico City Mexico
## 1273 Mexico City Mexico
## 1274 Mexico City Mexico
## 1275 Mexico City Mexico
## 1276 Mexico City Mexico
## 1277 Mexico City Mexico
## 1278 Mexico City Mexico
## 1279 Tokyo Japan
## 1280 Tokyo Japan
## 1281 Tokyo Japan
## 1282 Tokyo Japan
## 1283 Tokyo Japan
## 1284 Tokyo Japan
## 1285 Tokyo Japan
## 1286 Tokyo Japan
## 1287 Tokyo Japan
## 1288 Tokyo Japan
## 1289 Tokyo Japan
## 1290 Tokyo Japan
## 1291 Tokyo Japan
## 1292 Tokyo Japan
## 1293 Tokyo Japan
## 1294 Tokyo Japan
## 1295 Tokyo Japan
## 1296 Tokyo Japan
## 1297 Tokyo Japan
## 1298 Tokyo Japan
## 1299 Tokyo Japan
## 1300 Tokyo Japan
## 1301 Tokyo Japan
## 1302 Tokyo Japan
## 1303 Rome Italy
## 1304 Rome Italy
## 1305 Rome Italy
## 1306 Rome Italy
## 1307 Rome Italy
## 1308 Rome Italy
## 1309 Rome Italy
## 1310 Rome Italy
## 1311 Rome Italy
## 1312 Rome Italy
## 1313 Rome Italy
## 1314 Rome Italy
## 1315 Rome Italy
## 1316 Rome Italy
## 1317 Rome Italy
## 1318 Rome Italy
## 1319 Rome Italy
## 1320 Rome Italy
## 1321 Rome Italy
## 1322 Rome Italy
## 1323 Rome Italy
## 1324 Rome Italy
## 1325 Rome Italy
## 1326 Rome Italy
## 1327 Melbourne Australia
## 1328 Melbourne Australia
## 1329 Melbourne Australia
## 1330 Melbourne Australia
## 1331 Melbourne Australia
## 1332 Melbourne Australia
## 1333 Melbourne Australia
## 1334 Melbourne Australia
## 1335 Melbourne Australia
## 1336 Melbourne Australia
## 1337 Melbourne Australia
## 1338 Melbourne Australia
## 1339 Melbourne Australia
## 1340 Melbourne Australia
## 1341 Melbourne Australia
## 1342 Melbourne Australia
## 1343 Melbourne Australia
## 1344 Melbourne Australia
## 1345 Melbourne Australia
## 1346 Melbourne Australia
## 1347 Melbourne Australia
## 1348 Melbourne Australia
## 1349 Melbourne Australia
## 1350 Melbourne Australia
## 1351 Melbourne Australia
## 1352 Helsinki Finland
## 1353 Helsinki Finland
## 1354 Helsinki Finland
## 1355 Helsinki Finland
## 1356 Helsinki Finland
## 1357 Helsinki Finland
## 1358 Helsinki Finland
## 1359 Helsinki Finland
## 1360 Helsinki Finland
## 1361 Helsinki Finland
## 1362 Helsinki Finland
## 1363 Helsinki Finland
## 1364 Helsinki Finland
## 1365 Helsinki Finland
## 1366 Helsinki Finland
## 1367 Helsinki Finland
## 1368 Helsinki Finland
## 1369 Helsinki Finland
## 1370 Helsinki Finland
## 1371 Helsinki Finland
## 1372 Helsinki Finland
## 1373 Helsinki Finland
## 1374 Helsinki Finland
## 1375 Helsinki Finland
## 1376 London Great Britain
## 1377 London Great Britain
## 1378 London Great Britain
## 1379 London Great Britain
## 1380 London Great Britain
## 1381 London Great Britain
## 1382 London Great Britain
## 1383 London Great Britain
## 1384 London Great Britain
## 1385 London Great Britain
## 1386 London Great Britain
## 1387 London Great Britain
## 1388 London Great Britain
## 1389 London Great Britain
## 1390 London Great Britain
## 1391 London Great Britain
## 1392 London Great Britain
## 1393 London Great Britain
## 1394 London Great Britain
## 1395 London Great Britain
## 1396 London Great Britain
## 1397 London Great Britain
## 1398 London Great Britain
## 1399 London Great Britain
## 1400 Berlin Germany
## 1401 Berlin Germany
## 1402 Berlin Germany
## 1403 Berlin Germany
## 1404 Berlin Germany
## 1405 Berlin Germany
## 1406 Berlin Germany
## 1407 Berlin Germany
## 1408 Berlin Germany
## 1409 Berlin Germany
## 1410 Berlin Germany
## 1411 Berlin Germany
## 1412 Berlin Germany
## 1413 Berlin Germany
## 1414 Berlin Germany
## 1415 Berlin Germany
## 1416 Berlin Germany
## 1417 Berlin Germany
## 1418 Berlin Germany
## 1419 Berlin Germany
## 1420 Berlin Germany
## 1421 Berlin Germany
## 1422 Berlin Germanywrite.csv(oly_men_clean, "/Users/rochellerafn/RStudio Files/oly_men_clean.csv")oly_men_100m <- oly_men_clean %>%
filter(Event == "100 metres")%>%
arrange(desc(Year))
oly_men_100m## Year Medal Time Record Event Name
## 1 2016 Gold 9.81 <NA> 100 metres Usain Bolt
## 2 2016 Silver 9.89 <NA> 100 metres Justin Gatlin
## 3 2016 Bronze 9.91 <NA> 100 metres Andre De
## 4 2012 Gold 9.63 OR) 100 metres Usain Bolt
## 5 2012 Silver 9.75 <NA> 100 metres Yohan Blake
## 6 2012 Bronze 9.79 <NA> 100 metres Justin Gatlin
## 7 2008 Gold 9.69 WR) 100 metres Usain Bolt
## 8 2008 Silver 9.89 <NA> 100 metres Richard Thompson
## 9 2008 Bronze 9.91 <NA> 100 metres Walter Dix
## 10 2004 Gold 9.85 <NA> 100 metres Justin Gatlin
## 11 2004 Silver 9.86 AR) 100 metres Francis Obikwelu
## 12 2004 Bronze 9.87 <NA> 100 metres Maurice Greene
## 13 2000 Gold 9.87 <NA> 100 metres Maurice Greene
## 14 2000 Silver 9.99 <NA> 100 metres Ato Boldon
## 15 2000 Bronze 10.04 <NA> 100 metres Obadele Thompson
## 16 1996 Gold 9.84 WR) 100 metres Donovan Bailey
## 17 1996 Silver 9.89 <NA> 100 metres Frankie Fredericks
## 18 1996 Bronze 9.90 <NA> 100 metres Ato Boldon
## 19 1992 Gold 9.96 <NA> 100 metres Linford Christie
## 20 1992 Silver 10.02 <NA> 100 metres Frankie Fredericks
## 21 1992 Bronze 10.04 <NA> 100 metres Dennis Mitchell
## 22 1988 Gold 9.92 WR) 100 metres Carl Lewis
## 23 1988 Silver 9.97 AR) 100 metres Linford Christie
## 24 1988 Bronze 9.99 <NA> 100 metres Calvin Smith
## 25 1984 Gold 9.99 <NA> 100 metres Carl Lewis
## 26 1984 Silver 10.19 <NA> 100 metres Sam Graddy
## 27 1984 Bronze 10.22 <NA> 100 metres Ben Johnson
## 28 1980 Gold 10.25 <NA> 100 metres Allan Wells
## 29 1980 Silver 10.25 <NA> 100 metres Silvio Leonard
## 30 1980 Bronze 10.39 <NA> 100 metres Petar Petrov
## 31 1976 Gold 10.06 <NA> 100 metres Hasely Crawford
## 32 1976 Silver 10.08 <NA> 100 metres Don Quarrie
## 33 1976 Bronze 10.14 <NA> 100 metres Valeriy Borzov
## 34 1972 Gold 10.14 <NA> 100 metres Valeriy Borzov
## 35 1972 Silver 10.24 <NA> 100 metres Robert Taylor
## 36 1972 Bronze 10.33 <NA> 100 metres Lennox Miller
## 37 1968 Gold 9.95 <NA> 100 metres Jim Hines
## 38 1968 Silver 10.04 <NA> 100 metres Lennox Miller
## 39 1968 Bronze 10.07 <NA> 100 metres Charles Greene
## 40 1964 Gold 10.00 =WR) 100 metres Bob Hayes
## 41 1964 Silver 10.20 <NA> 100 metres Enrique Figuerola
## 42 1964 Bronze 10.20 <NA> 100 metres Harry Jerome
## 43 1960 Gold 10.20 =OR) 100 metres Armin Hary
## 44 1960 Silver 10.20 =OR) 100 metres Dave Sime
## 45 1960 Bronze 10.30 <NA> 100 metres Peter Radford
## 46 1956 Gold 10.50 <NA> 100 metres Bobby Morrow
## 47 1956 Silver 10.50 <NA> 100 metres Thane Baker
## 48 1956 Bronze 10.60 <NA> 100 metres Hector Hogan
## 49 1952 Gold 10.40 <NA> 100 metres Lindy Remigino
## 50 1952 Silver 10.40 <NA> 100 metres Herb McKenley
## 51 1952 Bronze 10.40 <NA> 100 metres McDonald Bailey
## 52 1948 Gold 10.30 <NA> 100 metres Harrison Dillard
## 53 1948 Silver 10.40 <NA> 100 metres Barney Ewell
## 54 1948 Bronze 10.60 <NA> 100 metres Lloyd LaBeach
## 55 1936 Gold 10.30 <NA> 100 metres Jesse Owens
## 56 1936 Silver 10.40 <NA> 100 metres Ralph Metcalfe
## 57 1936 Bronze 10.50 <NA> 100 metres Tinus Osendarp
## Athlete.Country Host.City Host.Country
## 1 Jamaica Rio de Janeiro Brazil
## 2 United States Rio de Janeiro Brazil
## 3 Grasse Canada Rio de Janeiro Brazil
## 4 Jamaica London Great Britain
## 5 Jamaica London Great Britain
## 6 United States London Great Britain
## 7 Jamaica Beijing China
## 8 Trinidad and Tobago Beijing China
## 9 United States Beijing China
## 10 United States Athens Greece
## 11 Portugal Athens Greece
## 12 United States Athens Greece
## 13 United States Sydney Australia
## 14 Trinidad and Tobago Sydney Australia
## 15 Barbados Sydney Australia
## 16 Canada Atlanta USA
## 17 Namibia Atlanta USA
## 18 Trinidad and Tobago Atlanta USA
## 19 Great Britain Barcelona Spain
## 20 Namibia Barcelona Spain
## 21 United States Barcelona Spain
## 22 United States Seoul South Korea
## 23 Great Britain Seoul South Korea
## 24 United States Seoul South Korea
## 25 United States Los Angeles USA
## 26 United States Los Angeles USA
## 27 Canada Los Angeles USA
## 28 Great Britain Moscow Russia
## 29 Cuba Moscow Russia
## 30 Bulgaria Moscow Russia
## 31 Trinidad and Tobago Montreal Canada
## 32 Jamaica Montreal Canada
## 33 Soviet Union Montreal Canada
## 34 Soviet Union Munich Germany
## 35 United States Munich Germany
## 36 Jamaica Munich Germany
## 37 United States Mexico City Mexico
## 38 Jamaica Mexico City Mexico
## 39 United States Mexico City Mexico
## 40 United States Tokyo Japan
## 41 Cuba Tokyo Japan
## 42 Canada Tokyo Japan
## 43 United Team of Germany Rome Italy
## 44 United States Rome Italy
## 45 Great Britain Rome Italy
## 46 United States Melbourne Australia
## 47 United States Melbourne Australia
## 48 Australia Melbourne Australia
## 49 United States Helsinki Finland
## 50 Jamaica Helsinki Finland
## 51 Great Britain Helsinki Finland
## 52 United States London Great Britain
## 53 United States London Great Britain
## 54 Panama London Great Britain
## 55 United States Berlin Germany
## 56 United States Berlin Germany
## 57 Netherlands Berlin Germanylevels(as.factor(oly_men_100m$Time))## [1] "9.63" "9.69" "9.75" "9.79" "9.81" "9.84" "9.85" "9.86" "9.87"
## [10] "9.89" "9.9" "9.91" "9.92" "9.95" "9.96" "9.97" "9.99" "10"
## [19] "10.02" "10.04" "10.06" "10.07" "10.08" "10.14" "10.19" "10.2" "10.22"
## [28] "10.24" "10.25" "10.3" "10.33" "10.39" "10.4" "10.5" "10.6"oly_women_gold <- oly_women %>%
select(Year, gTime, gwr_or, gold_country, Event, gold_first_name, gold_last_name, `Host City`, `Host Country`)%>%
filter(!is.na(gTime))%>%
mutate(Medal = "Gold")
names(oly_women_gold)[4] <- 'Athlete Country'
names(oly_women_gold)[2] <- 'Time'
names(oly_women_gold)[3] <- 'Record'
Athlete <- paste(oly_women_gold$gold_first_name, oly_women_gold$gold_last_name)
oly_women_gold <- oly_women_gold %>%
mutate(Name = Athlete)%>%
select(Year, Medal, Time, Record, Event, Name, `Athlete Country`, `Host City`, `Host Country`)
oly_women_gold## # A tibble: 288 × 9
## Year Medal Time Record Event Name `Athlete Countr… `Host City`
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2016 Gold "10.71" <NA> "100 met… "Elaine… Jamaica Rio de Jan…
## 2 2016 Gold "21.78" <NA> "200 met… "Elaine… Jamaica Rio de Jan…
## 3 2016 Gold "49.44" <NA> "400 met… "Shauna… Bahamas Rio de Jan…
## 4 2016 Gold "1:55.28" <NA> "800 met… "Caster… South Africa Rio de Jan…
## 5 2016 Gold "4:08.92" <NA> "1500 me… "Faith … Kenya Rio de Jan…
## 6 2016 Gold "14:26.17" <NA> "5000 me… "Vivian… Kenya Rio de Jan…
## 7 2016 Gold "29:17.45" <NA> "10,000 … "Almaz … Ethiopia Rio de Jan…
## 8 2016 Gold "" <NA> "" " NA" <NA> Rio de Jan…
## 9 2016 Gold "12.48" <NA> "100 met… "Briann… United States Rio de Jan…
## 10 2016 Gold "53.13" <NA> "400 met… "Dalila… United States Rio de Jan…
## # … with 278 more rows, and 1 more variable: Host Country <chr>oly_women_silver <- oly_women %>%
select(Year, sTime, swr_or, silver_country, Event, silver_first_name, silver_last_name, `Host City`, `Host Country`)%>%
filter(!is.na(sTime))%>%
mutate(Medal = "Silver")
names(oly_women_silver)[4] <- 'Athlete Country'
names(oly_women_silver)[2] <- 'Time'
names(oly_women_silver)[3] <- 'Record'
Athlete <- paste(oly_women_silver$silver_first_name, oly_women_silver$silver_last_name)
oly_women_silver <- oly_women_silver %>%
mutate(Name = Athlete)%>%
select(Year, Medal, Time, Record, Event, Name, `Athlete Country`, `Host City`, `Host Country`)
oly_women_silver## # A tibble: 288 × 9
## Year Medal Time Record Event Name `Athlete Countr… `Host City`
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2016 Silver "10.83" <NA> "100 me… "Tori B… United States Rio de Jan…
## 2 2016 Silver "21.88" <NA> "200 me… "Dafne … Netherlands Rio de Jan…
## 3 2016 Silver "49.51" <NA> "400 me… "Allyso… United States Rio de Jan…
## 4 2016 Silver "1:56.49" <NA> "800 me… "Franci… Burundi Rio de Jan…
## 5 2016 Silver "4:10.27" <NA> "1500 m… "Genzeb… Ethiopia Rio de Jan…
## 6 2016 Silver "14:29.77" <NA> "5000 m… "Hellen… Obiri Kenya Rio de Jan…
## 7 2016 Silver "29:32.53" <NA> "10,000… "Vivian… Kenya Rio de Jan…
## 8 2016 Silver "" <NA> "" " NA" <NA> Rio de Jan…
## 9 2016 Silver "12.59" <NA> "100 me… "Nia Al… United States Rio de Jan…
## 10 2016 Silver "53.55" <NA> "400 me… "Sara P… Denmark Rio de Jan…
## # … with 278 more rows, and 1 more variable: Host Country <chr>oly_women_bronze <- oly_women %>%
select(Year, bTime, bwr_or, bronze_country, Event, bronze_first_name, bronze_last_name, `Host City`, `Host Country`)%>%
filter(!is.na(bTime))%>%
mutate(Medal = "Bronze")
names(oly_women_bronze)[4] <- 'Athlete Country'
names(oly_women_bronze)[2] <- 'Time'
names(oly_women_bronze)[3] <- 'Record'
Name <- paste(oly_women_bronze$bronze_first_name, oly_women_bronze$bronze_last_name)
oly_women_bronze <- oly_women_bronze %>%
mutate(Name = Name)%>%
select(Year, Medal, Time, Record, Event, Name, `Athlete Country`, `Host City`, `Host Country`)
oly_women_bronze## # A tibble: 288 × 9
## Year Medal Time Record Event Name `Athlete Countr… `Host City`
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2016 Bronze "10.86" <NA> "100 me… "Shelly… Jamaica Rio de Jan…
## 2 2016 Bronze "22.15" <NA> "200 me… "Tori B… United States Rio de Jan…
## 3 2016 Bronze "49.85" <NA> "400 me… "Sheric… Jamaica Rio de Jan…
## 4 2016 Bronze "1:56.89" <NA> "800 me… "Margar… Kenya Rio de Jan…
## 5 2016 Bronze "4:10.53" <NA> "1500 m… "Jennif… United States Rio de Jan…
## 6 2016 Bronze "14:33.59" <NA> "5000 m… "Almaz … Ethiopia Rio de Jan…
## 7 2016 Bronze "29:42.56" <NA> "10,000… "Tirune… Ethiopia Rio de Jan…
## 8 2016 Bronze "" <NA> "" " NA" <NA> Rio de Jan…
## 9 2016 Bronze "12.61" <NA> "100 me… "Kristi… United States Rio de Jan…
## 10 2016 Bronze "53.72" <NA> "400 me… "Ashley… United States Rio de Jan…
## # … with 278 more rows, and 1 more variable: Host Country <chr>oly_women_clean <- bind_rows(oly_women_gold, oly_women_silver, oly_women_bronze)
oly_women_clean## # A tibble: 864 × 9
## Year Medal Time Record Event Name `Athlete Countr… `Host City`
## <dbl> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2016 Gold "10.71" <NA> "100 met… "Elaine… Jamaica Rio de Jan…
## 2 2016 Gold "21.78" <NA> "200 met… "Elaine… Jamaica Rio de Jan…
## 3 2016 Gold "49.44" <NA> "400 met… "Shauna… Bahamas Rio de Jan…
## 4 2016 Gold "1:55.28" <NA> "800 met… "Caster… South Africa Rio de Jan…
## 5 2016 Gold "4:08.92" <NA> "1500 me… "Faith … Kenya Rio de Jan…
## 6 2016 Gold "14:26.17" <NA> "5000 me… "Vivian… Kenya Rio de Jan…
## 7 2016 Gold "29:17.45" <NA> "10,000 … "Almaz … Ethiopia Rio de Jan…
## 8 2016 Gold "" <NA> "" " NA" <NA> Rio de Jan…
## 9 2016 Gold "12.48" <NA> "100 met… "Briann… United States Rio de Jan…
## 10 2016 Gold "53.13" <NA> "400 met… "Dalila… United States Rio de Jan…
## # … with 854 more rows, and 1 more variable: Host Country <chr>trimws(oly_women_clean$Time, which = "both")## [1] "10.71" "21.78" "49.44" "1:55.28" "4:08.92" "14:26.17"
## [7] "29:17.45" "" "12.48" "53.13" "8:59.75" ""
## [13] "41.02" "3:19.06" "" "2:24:04" "1:28:35" ""
## [19] "1.97" "4.85" "7.17" "15.17" "20.63" "69.21"
## [25] "82.29" "66.18" "" "6810" "10.75" "21.88"
## [31] "49.55" "1:57.23" "4:10.74" "15:04.25" "30:20.75" ""
## [37] "12.35" "52.70" "9:08.37" "" "40.82" "3:16.87"
## [43] "" "2:23:07" "1:25:02" "" "2.05" "4.75"
## [49] "7.12" "14.98" "20.70" "69.11" "77.60" "69.55"
## [55] "" "6955" "10.78" "21.74" "49.62" "1:54.87"
## [61] "4:00.23" "15:41.40" "29:54.66" "12.54" "52.64" "8:58.81"
## [67] "42.54" "3:18.54" "2:26:44" "1:26:31" "2.05 " "5.05 "
## [73] "7.04 " "15.39 " "20.56 " "64.74 " "75.20 " "71.42 "
## [79] "6733" "[2]" "[2]" "22.27" "49.11" "1:56.15"
## [85] "4:05.10" "14:40.79" "30:17.49" "12.65" "53.02" "41.95"
## [91] "3:22.62" "2:23:14" "1:29:05" "2.01 " "2.01 " "4.60 "
## [97] "6.99 " "15.20 " "20.56 " "68.40 " "71.16 " "68.91 "
## [103] "6584" "10.94" "22.12" "48.25" "1:57.73" "4:00.83"
## [109] "14:59.88" "31:01.63" "12.58" "52.82" "41.95" "3:20.91"
## [115] "2:26:05" "41:49" "2.05 " "7.12 " "15.33 " "20.56 "
## [121] "69.66 " "67.94 " "6780" "10.82" "21.81" "48.83"
## [127] "1:55:54" "3:55.30" "8:46.04" "31:06.02" "12.64" "53.23"
## [133] "42.11" "3:20.20" "2:32:41" "44:32" "2.02 " "7.14 "
## [139] "21.06 " "70.06 " "68.34 " "7044" "10.54" "21.34"
## [145] "48.65" "1:56.10" "3:53.96" "8:26.53" "31:05.21" "12.38"
## [151] "53.17" "41.98" "3:15.17" "2:25:40" "2.03 " "7.40 "
## [157] "22.24 " "72.30 " "74.68 " "7291" "10.97" "21.81"
## [163] "48.83" "1:57.60" "4:03.25" "8:35.96" "12.84" "12.84"
## [169] "54.61" "41.65" "3:18.29" "2:24:52" "2.02 " "6.96 "
## [175] "20.48 " "65.36 " "69.56 " "6390" "11.06" "22.03"
## [181] "48.88" "1:53.43" "3:56.56" "12.56" "41.60" "3:20.12"
## [187] "1.97 " "7.06 " "22.41 " "69.96 " "68.40 " "5083"
## [193] "11.08" "22.37" "49.28" "1:54.94" "4:05.48" "12.77"
## [199] "42.55" "3:19.23" "1.93 " "6.72 " "21.16 " "69.00 "
## [205] "65.94 " "4745" "11.07" "22.40" "51.08" "1:58.55"
## [211] "4:01.38" "12.59" "42.81" "3:22.95" "1.92" "6.78"
## [217] "21.03" "66.62" "63.88" "4801" "11.08" "22.58"
## [223] "52.03" "2:00.92" "10.39" "42.88" "1.82" "6.82"
## [229] "19.61" "58.28" "60.36" "5098" "11.4" "23.0"
## [235] "52.0" "2:01.1" "10.5" "43.6" "1.90" "6.76"
## [241] "18.14" "57.27" "60.54" "5246" "11.0" "24.0"
## [247] "2:04.3" "10.8" "44.5" "1.85" "1.85" "6.37"
## [253] "17.32" "55.10" "55.98" "11.5" "23.4" "10.7"
## [259] "44.5" "1.76" "6.35" "16.59" "53.69" "53.86"
## [265] "11.5" "23.7" "10.9" "45.9" "1.67 " "6.24 "
## [271] "15.28 " "51.42 " "50.47 " "11.9" "24.4" "11.2"
## [277] "47.5" "1.68" "5.695" "13.75" "41.92" "45.57"
## [283] "11.5" "11.7" "46.9" "1.60" "47.63" "45.18"
## [289] "10.83" "21.88" "49.51" "1:56.49" "4:10.27" "14:29.77"
## [295] "29:32.53" "" "12.59" "53.55" "9:07.12" ""
## [301] "41.36" "3:20.34" "" "2:24:13" "1:28:37" ""
## [307] "1.97" "4.85" "7.15" "14.98" "20.42" "66.73"
## [313] "76.75" "64.92" "" "6775" "10.78" "22.09"
## [319] "49.70" "1:57.53" "4:10.90" "15:04.73" "30:26.37" ""
## [325] "12.37" "52.77" "9:09.84" "" "41.41" "3:20.95"
## [331] "" "2:23:12" "1:25:16" "" "2.03" "4.75"
## [337] "7.07" "14.80" "20.22" "67.22" "77.13" "65.16"
## [343] "" "6649" "10.98" "21.93" "49.69" "1:56.07"
## [349] "4:01.63" "15:44.12" "30:22.22" "12.64" "53.70" "9:07.41"
## [355] "43.04" "3:20.40" "2:27:06" "1:27:07" "2.05 " "4.80 "
## [361] "6.91 " "15.11 " "19.50 " "62.59 " "74.32 " "66.13 "
## [367] "6619" "11.12" "11.18" "22.28" "49.58" "1:56.64"
## [373] "4:05.15" "14:41.02" "30:22.48" "12.68" "53.45" "42.13"
## [379] "3:23.25" "2:23:22" "1:29:33" "2.01 " "2.01 " "4.55 "
## [385] "6.92 " "15.00 " "19.92 " "65.71 " "69.77 " "67.51 "
## [391] "6531" "10.94" "22.24" "48.63" "1:58.11" "4:01.54"
## [397] "15:03.49" "31:02.59" "12.59" "53.08" "42.14" "3:21.04"
## [403] "2:28:05" "42:12" "2.03 " "7.02 " "14.98 " "19.88 "
## [409] "66.48 " "65.54 " "6563" "10.83" "22.02" "49.05"
## [415] "1:55:99" "3:56.91" "8:46.85" "31:11.75" "12.69" "53.69"
## [421] "42.16" "3:20.92" "2:32:49" "44:33" "2.00 " "7.12 "
## [427] "20.47 " "67.78 " "68.26 " "6845" "10.83" "21.72"
## [433] "49.45" "1:56.64" "4:00.24" "8:27.15" "31:08.44" "12.61"
## [439] "53.18" "42.09" "3:15.51" "2:25:53" "2.01 " "7.22 "
## [445] "21.07 " "71.88 " "70.32 " "6897" "11.13" "22.04"
## [451] "49.05" "1:58.63" "4:03.76" "8:39.47" "12.88" "12.88"
## [457] "55.20" "42.77" "3:21.21" "2:26:18" "2.00 " "6.81 "
## [463] "20.47 " "64.86 " "69.00 " "6385" "11.07" "22.19"
## [469] "49.46" "1:54.81" "3:57.71" "12.63" "42.10" "3:20.35"
## [475] "1.94 " "7.04 " "21.42 " "67.90 " "67.76 " "4937"
## [481] "11.13" "22.39" "50.51" "1:55.42" "4:06.02" "12.78"
## [487] "42.59" "3:22.81" "1.91 " "6.66 " "20.96 " "67.30 "
## [493] "64.70 " "4745" "11.23" "22.45" "51.21" "1:58.65"
## [499] "4:02.83" "12.84" "42.95" "3:25.15" "1.88" "6.77"
## [505] "20.22" "65.06" "62.54" "4791" "11.15" "22.74"
## [511] "52.12" "2:02.58" "10.46" "43.36" "1.80" "6.68"
## [517] "18.78" "57.76" "59.92" "4966" "11.6" "23.1"
## [523] "52.2" "2:01.9" "10.5" "43.9" "1.80" "6.60"
## [529] "17.61" "57.21" "58.27" "5035" "11.3" "24.4"
## [535] "2:04.4" "10.9" "44.8" "1.71" "1.71" "6.27"
## [541] "16.61" "52.59" "53.78" "11.7" "23.7" "10.9"
## [547] "44.7" "1.67" "6.09" "16.53" "52.54" "50.38"
## [553] "11.8" "24.2" "11.1" "45.9" "1.65 " "6.14 "
## [559] "14.57 " "47.08 " "50.01 " "12.2" "25.1" "11.2"
## [565] "47.6" "1.68" "5.60" "13.09" "41.17" "43.79"
## [571] "11.7" "11.7" "47.6" "1.60" "46.22" "43.29"
## [577] "10.86" "22.15" "49.85" "1:56.89" "4:10.53" "14:33.59"
## [583] "29:42.56" "" "12.61" "53.72" "9:07.63" ""
## [589] "41.77" "3:25.88" "" "2:24:30" "1:28:42" ""
## [595] "1.97" "4.80" "7.08" "14.74" "19.87" "65.34"
## [601] "74.54" "64.80" "" "6653" "10.81" "22.14"
## [607] "49.72" "1:57.59" "4:11.03" "15:05.15" "30:30.44" ""
## [613] "12.48" "53.38" "9:09.88" "" "42.04" "3:23.57"
## [619] "" "2:23:29" "1:26:00" "" "2.00" "4.70"
## [625] "6.89" "14.79" "19.63" "66.38" "76.34" "64.91"
## [631] "" "6599" "." "22.00" "49.93" "1:56.73"
## [637] "4:01.78" "15:44.96" "30:26.50" "12.64" "53.84" "9:12.33"
## [643] "43.14" "3:22.68" "2:27:07" "1:27:12" "1.99 " "4.75 "
## [649] "6.79 " "15.05 " "19.20 " "62.20 " "72.54 " "65.75"
## [655] "6517" "11.19" "11.19" "22.35" "49.72" "1:56.80"
## [661] "4:05.27" "14:42.23" "30:22.88" "12.76" "53.57" "42.20"
## [667] "3:23.46" "2:24:45" "1:30:23" "1.99 " "1.99 " "4.50 "
## [673] "6.83 " "14.96 " "19.62 " "65.20 " "69.28 " "66.18 "
## [679] "6527" "10.96" "22.38" "49.10" "1:58.71" "4:03.02"
## [685] "15:07.52" "31:06.65" "12.65" "53.22" "42.24" "3:21.14"
## [691] "2:28:39" "42:19" "2.01 " "7.00 " "14.98 " "19.35 "
## [697] "65.64 " "64.98 " "6489" "10.84" "22.09" "49.64"
## [703] "1:56.80" "3:57.08" "8:47.22" "31:19.89" "12.70" "54.31"
## [709] "42.81" "3:24.23" "2:33:59" "44:41" "1.97 " "7.07 "
## [715] "19.78 " "66.24 " "66.86 " "6649" "10.85" "21.95"
## [721] "49.90" "1:56.91" "4:00.30" "8:29.02" "31:19.82" "12.75"
## [727] "53.63" "42.75" "3:18.29" "2:26:21" "1.99 " "7.11 "
## [733] "21.06 " "69.74 " "67.30 " "6858" "11.16" "22.09"
## [739] "49.42" "1:58.83" "4:04.15" "8:42.14" "13.06" "13.06"
## [745] "55.41" "43.11" "3:22.98" "2:26:57" "1.97 " "6.80 "
## [751] "19.19 " "63.64 " "67.14 " "6363" "11.14" "22.20"
## [757] "49.66" "1:55.46" "3:59.52" "12.65" "42.43" "3:27.74"
## [763] "1.94 " "7.01 " "21.20 " "67.40 " "66.56 " "4875"
## [769] "11.17" "22.47" "50.55" "1:55.60" "4:06.09" "12.80"
## [775] "43.09" "3:24.24" "1.91 " "6.60 " "20.67 " "66.84 "
## [781] "63.96 " "4740" "11.24" "22.74" "51.64" "1:59.19"
## [787] "4:02.85" "12.90" "43.36" "3:26.51" "1.88" "6.67"
## [793] "19.35" "64.34" "59.94" "4768" "11.19" "22.88"
## [799] "52.25" "2:02.63" "10.51" "43.41" "1.80" "6.66"
## [805] "18.19" "54.90" "58.04" "4959" "11.6" "23.1"
## [811] "53.4" "2:02.8" "10.6" "44.0" "1.78" "6.42"
## [817] "17.45" "56.97" "57.06" "4956" "11.3" "24.7"
## [823] "2:05.6" "11.0" "45.0" "" "" "6.21"
## [829] "16.42" "52.36" "53.45" "11.7" "23.8" "11.0"
## [835] "44.9" "" "6.07" "15.61" "52.02" "50.28"
## [841] "11.9" "24.2" "11.1" "46.2" "1.63 " "5.92 "
## [847] "14.50 " "46.29 " "49.76 " "12.2" "25.2" "11.4"
## [853] "47.8" "1.61" "5.575" "13.08" "40.47" "42.08"
## [859] "11.9" "11.7" "47.8" "1.60" "39.80" "41.80"oly_women_clean <- oly_women_clean %>%
transform(Time = as.numeric(Time))
str(oly_women_clean)## 'data.frame': 864 obs. of 9 variables:
## $ Year : num 2016 2016 2016 2016 2016 ...
## $ Medal : chr "Gold" "Gold" "Gold" "Gold" ...
## $ Time : num 10.7 21.8 49.4 NA NA ...
## $ Record : chr NA NA NA NA ...
## $ Event : chr "100 metres" "200 metres" "400 metres" "800 metres" ...
## $ Name : chr "Elaine Thompson" "Elaine Thompson" "Shaunae Miller" "Caster Semenya" ...
## $ Athlete.Country: chr "Jamaica" "Jamaica" "Bahamas" "South Africa" ...
## $ Host.City : chr "Rio de Janeiro" "Rio de Janeiro" "Rio de Janeiro" "Rio de Janeiro" ...
## $ Host.Country : chr "Brazil" "Brazil" "Brazil" "Brazil" ...oly_women_clean## Year Medal Time Record Event
## 1 2016 Gold 10.710 <NA> 100 metres
## 2 2016 Gold 21.780 <NA> 200 metres
## 3 2016 Gold 49.440 <NA> 400 metres
## 4 2016 Gold NA <NA> 800 metres
## 5 2016 Gold NA <NA> 1500 metres
## 6 2016 Gold NA <NA> 5000 metres
## 7 2016 Gold NA <NA> 10,000 metres
## 8 2016 Gold NA <NA>
## 9 2016 Gold 12.480 <NA> 100 metres hurdles
## 10 2016 Gold 53.130 <NA> 400 metres hurdles
## 11 2016 Gold NA <NA> 3000 metres steeplechase
## 12 2016 Gold NA <NA>
## 13 2016 Gold 41.020 <NA> 4 × 100 metres relay
## 14 2016 Gold NA <NA> 4 × 400 metres relay
## 15 2016 Gold NA <NA>
## 16 2016 Gold NA <NA> Marathon
## 17 2016 Gold NA <NA> 20 kilometres walk
## 18 2016 Gold NA <NA>
## 19 2016 Gold 1.970 <NA> High jump
## 20 2016 Gold 4.850 <NA> Pole vault
## 21 2016 Gold 7.170 <NA> Long jump
## 22 2016 Gold 15.170 <NA> Triple jump
## 23 2016 Gold 20.630 <NA> Shot put
## 24 2016 Gold 69.210 <NA> Discus throw
## 25 2016 Gold 82.290 <NA> Hammer throw
## 26 2016 Gold 66.180 <NA> Javelin throw
## 27 2016 Gold NA <NA>
## 28 2016 Gold 6810.000 <NA> Heptathlon
## 29 2012 Gold 10.750 <NA> 100 metres
## 30 2012 Gold 21.880 <NA> 200 metres
## 31 2012 Gold 49.550 <NA> 400 metres
## 32 2012 Gold NA <NA> 800 metres [e]
## 33 2012 Gold NA <NA> 1500 metres [f]
## 34 2012 Gold NA <NA> 5000 metres
## 35 2012 Gold NA <NA> 10,000 metres
## 36 2012 Gold NA <NA>
## 37 2012 Gold 12.350 OR) 100 metres hurdles
## 38 2012 Gold 52.700 <NA> 400 metres hurdles
## 39 2012 Gold NA <NA> 3000 metres steeplechase [g]
## 40 2012 Gold NA <NA>
## 41 2012 Gold 40.820 WR) 4 × 100 m relay
## 42 2012 Gold NA <NA> 4 × 400 m relay [h]
## 43 2012 Gold NA <NA>
## 44 2012 Gold NA OR) Marathon
## 45 2012 Gold NA WR) 20 kilometres walk [i]
## 46 2012 Gold NA <NA>
## 47 2012 Gold 2.050 <NA> High jump [j]
## 48 2012 Gold 4.750 <NA> Pole vault
## 49 2012 Gold 7.120 <NA> Long jump
## 50 2012 Gold 14.980 <NA> Triple jump
## 51 2012 Gold 20.700 <NA> Shot put [k]
## 52 2012 Gold 69.110 <NA> Discus throw [l]
## 53 2012 Gold 77.600 <NA> Hammer throw [m]
## 54 2012 Gold 69.550 <NA> Javelin throw
## 55 2012 Gold NA <NA>
## 56 2012 Gold 6955.000 <NA> Heptathlon [n]
## 57 2008 Gold 10.780 <NA> 100 metres
## 58 2008 Gold 21.740 <NA> 200 metres
## 59 2008 Gold 49.620 <NA> 400 metres
## 60 2008 Gold NA <NA> 800 metres
## 61 2008 Gold NA <NA> 1500 metres
## 62 2008 Gold NA <NA> 5000 metres [g]
## 63 2008 Gold NA OR) 10,000 metres [h]
## 64 2008 Gold 12.540 <NA> 100 metres hurdles
## 65 2008 Gold 52.640 OR) 400 metres hurdles
## 66 2008 Gold NA WR) 3000 metres steeplechase [i]
## 67 2008 Gold 42.540 NR) 4×100 metres relay [j]
## 68 2008 Gold NA <NA> 4×400 metres relay [k]
## 69 2008 Gold NA <NA> Marathon
## 70 2008 Gold NA OR) 20 kilometres walk
## 71 2008 Gold NA <NA> High jump [l]
## 72 2008 Gold NA WR) Pole vault
## 73 2008 Gold NA <NA> Long jump [m]
## 74 2008 Gold NA OR) Triple jump [n]
## 75 2008 Gold NA <NA> Shot put [o]
## 76 2008 Gold NA <NA> Discus throw [p]
## 77 2008 Gold NA <NA> Hammer throw [q]
## 78 2008 Gold NA <NA> Javelin throw [r]
## 79 2008 Gold 6733.000 <NA> Heptathlon [s]
## 80 2000 Gold NA <NA> 100 metres
## 81 2000 Gold NA <NA> 100 metres
## 82 2000 Gold 22.270 <NA> 200 metres
## 83 2000 Gold 49.110 <NA> 400 metres
## 84 2000 Gold NA <NA> 800 metres
## 85 2000 Gold NA <NA> 1500 metres
## 86 2000 Gold NA OR) 5000 metres
## 87 2000 Gold NA OR) 10,000 metres
## 88 2000 Gold 12.650 <NA> 100 metres hurdles
## 89 2000 Gold 53.020 <NA> 400 metres hurdles
## 90 2000 Gold 41.950 <NA> 4×100 metres relay
## 91 2000 Gold NA <NA> 4×400 metres relay
## 92 2000 Gold NA OR) Marathon
## 93 2000 Gold NA OR) 20 kilometres walk
## 94 2000 Gold NA <NA> High jump
## 95 2000 Gold NA <NA> High jump
## 96 2000 Gold NA OR) Pole vault
## 97 2000 Gold NA <NA> Long jump
## 98 2000 Gold NA <NA> Triple jump
## 99 2000 Gold NA <NA> Shot put
## 100 2000 Gold NA <NA> Discus throw
## 101 2000 Gold NA <NA> Hammer throw
## 102 2000 Gold NA OR) Javelin throw
## 103 2000 Gold 6584.000 <NA> Heptathlon
## 104 1996 Gold 10.940 <NA> 100 metres
## 105 1996 Gold 22.120 <NA> 200 metres
## 106 1996 Gold 48.250 OR) 400 metres
## 107 1996 Gold NA <NA> 800 metres
## 108 1996 Gold NA <NA> 1500 metres
## 109 1996 Gold NA OR) 5000 metres
## 110 1996 Gold NA OR) 10,000 metres
## 111 1996 Gold 12.580 <NA> 100 metres hurdles
## 112 1996 Gold 52.820 OR) 400 metres hurdles
## 113 1996 Gold 41.950 <NA> 4×100 metres relay
## 114 1996 Gold NA <NA> 4×400 metres relay
## 115 1996 Gold NA <NA> Marathon
## 116 1996 Gold NA OR) 10 kilometres walk
## 117 1996 Gold NA <NA> High jump
## 118 1996 Gold NA <NA> Long jump
## 119 1996 Gold NA OR) Triple jump
## 120 1996 Gold NA <NA> Shot put
## 121 1996 Gold NA <NA> Discus throw
## 122 1996 Gold NA <NA> Javelin throw
## 123 1996 Gold 6780.000 <NA> Heptathlon
## 124 1992 Gold 10.820 <NA> 100 metres
## 125 1992 Gold 21.810 <NA> 200 metres
## 126 1992 Gold 48.830 <NA> 400 metres
## 127 1992 Gold NA <NA> 800 metres
## 128 1992 Gold NA <NA> 1500 metres
## 129 1992 Gold NA <NA> 3000 metres
## 130 1992 Gold NA <NA> 10,000 metres
## 131 1992 Gold 12.640 <NA> 100 metres hurdles
## 132 1992 Gold 53.230 <NA> 400 metres hurdles
## 133 1992 Gold 42.110 <NA> 4×100 metres relay
## 134 1992 Gold NA <NA> 4×400 metres relay
## 135 1992 Gold NA <NA> Marathon
## 136 1992 Gold NA <NA> 10 kilometres walk
## 137 1992 Gold NA <NA> High jump
## 138 1992 Gold NA <NA> Long jump
## 139 1992 Gold NA <NA> Shot put
## 140 1992 Gold NA <NA> Discus throw
## 141 1992 Gold NA <NA> Javelin throw
## 142 1992 Gold 7044.000 <NA> Heptathlon
## 143 1988 Gold 10.540 OR) 100 metres
## 144 1988 Gold 21.340 WR) 200 metres
## 145 1988 Gold 48.650 <NA> 400 metres
## 146 1988 Gold NA <NA> 800 metres
## 147 1988 Gold NA OR) 1500 metres
## 148 1988 Gold NA <NA> 3000 metres
## 149 1988 Gold NA <NA> 10,000 metres
## 150 1988 Gold 12.380 OR) 100 metres hurdles
## 151 1988 Gold 53.170 <NA> 400 metres hurdles
## 152 1988 Gold 41.980 <NA> 4×100 metres relay
## 153 1988 Gold NA WR) 4×400 metres relay
## 154 1988 Gold NA <NA> Marathon
## 155 1988 Gold NA <NA> High jump
## 156 1988 Gold NA OR) Long jump
## 157 1988 Gold NA <NA> Shot put
## 158 1988 Gold NA OR) Discus throw
## 159 1988 Gold NA OR) Javelin throw
## 160 1988 Gold 7291.000 WR) Heptathlon
## 161 1984 Gold 10.970 <NA> 100 metres
## 162 1984 Gold 21.810 <NA> 200 metres
## 163 1984 Gold 48.830 <NA> 400 metres
## 164 1984 Gold NA <NA> 800 metres
## 165 1984 Gold NA <NA> 1500 metres
## 166 1984 Gold NA <NA> 3000 metres
## 167 1984 Gold 12.840 <NA> 100 metres hurdles
## 168 1984 Gold 12.840 <NA> 100 metres hurdles
## 169 1984 Gold 54.610 <NA> 400 metres hurdles
## 170 1984 Gold 41.650 <NA> 4×100 metres relay
## 171 1984 Gold NA <NA> 4×400 metres relay
## 172 1984 Gold NA <NA> Marathon
## 173 1984 Gold NA <NA> High jump
## 174 1984 Gold NA <NA> Long jump
## 175 1984 Gold NA <NA> Shot put
## 176 1984 Gold NA <NA> Discus throw
## 177 1984 Gold NA <NA> Javelin throw
## 178 1984 Gold 6390.000 <NA> Heptathlon
## 179 1980 Gold 11.060 <NA> 100 metres
## 180 1980 Gold 22.030 <NA> 200 metres
## 181 1980 Gold 48.880 <NA> 400 metres
## 182 1980 Gold NA <NA> 800 metres
## 183 1980 Gold NA <NA> 1500 metres
## 184 1980 Gold 12.560 <NA> 100 metres hurdles
## 185 1980 Gold 41.600 <NA> 4×100 metres relay
## 186 1980 Gold NA <NA> 4×400 metres relay
## 187 1980 Gold NA <NA> High jump
## 188 1980 Gold NA <NA> Long jump
## 189 1980 Gold NA <NA> Shot put
## 190 1980 Gold NA <NA> Discus throw
## 191 1980 Gold NA <NA> Javelin throw
## 192 1980 Gold 5083.000 <NA> Pentathlon
## 193 1976 Gold 11.080 <NA> 100 metres
## 194 1976 Gold 22.370 <NA> 200 metres
## 195 1976 Gold 49.280 <NA> 400 metres
## 196 1976 Gold NA <NA> 800 metres
## 197 1976 Gold NA <NA> 1500 metres
## 198 1976 Gold 12.770 <NA> 100 metres hurdles
## 199 1976 Gold 42.550 <NA> 4×100 metres relay
## 200 1976 Gold NA <NA> 4×400 metres relay
## 201 1976 Gold NA <NA> High jump
## 202 1976 Gold NA <NA> Long jump
## 203 1976 Gold NA <NA> Shot put
## 204 1976 Gold NA <NA> Discus throw
## 205 1976 Gold NA <NA> Javelin throw
## 206 1976 Gold 4745.000 <NA> Pentathlon
## 207 1972 Gold 11.070 WR) 100 metres
## 208 1972 Gold 22.400 =WR) 200 metres
## 209 1972 Gold 51.080 <NA> 400 metres
## 210 1972 Gold NA OR) 800 metres
## 211 1972 Gold NA WR) 1500 metres
## 212 1972 Gold 12.590 WR) 100 metres hurdles
## 213 1972 Gold 42.810 <NA> 4×100 metres relay
## 214 1972 Gold NA <NA> 4×400 metres relay
## 215 1972 Gold 1.920 =WR) High jump
## 216 1972 Gold 6.780 <NA> Long jump
## 217 1972 Gold 21.030 WR) Shot put
## 218 1972 Gold 66.620 OR) Discus throw
## 219 1972 Gold 63.880 OR) Javelin throw
## 220 1972 Gold 4801.000 WR) Pentathlon
## 221 1968 Gold 11.080 <NA> 100 metres
## 222 1968 Gold 22.580 <NA> 200 metres
## 223 1968 Gold 52.030 <NA> 400 metres
## 224 1968 Gold NA <NA> 800 metres
## 225 1968 Gold 10.390 <NA> 80 metres hurdles
## 226 1968 Gold 42.880 <NA> 4×100 metres relay
## 227 1968 Gold 1.820 <NA> High jump
## 228 1968 Gold 6.820 <NA> Long jump
## 229 1968 Gold 19.610 <NA> Shot put
## 230 1968 Gold 58.280 <NA> Discus throw
## 231 1968 Gold 60.360 <NA> Javelin throw
## 232 1968 Gold 5098.000 <NA> Pentathlon
## 233 1964 Gold 11.400 <NA> 100 metres
## 234 1964 Gold 23.000 OR) 200 metres
## 235 1964 Gold 52.000 OR) 400 metres
## 236 1964 Gold NA WR) 800 metres
## 237 1964 Gold 10.500 <NA> 80 metres hurdles
## 238 1964 Gold 43.600 WR) 4×100 metres relay
## 239 1964 Gold 1.900 OR) High jump
## 240 1964 Gold 6.760 WR) Long jump
## 241 1964 Gold 18.140 OR) Shot put
## 242 1964 Gold 57.270 OR) Discus throw
## 243 1964 Gold 60.540 <NA> Javelin throw
## 244 1964 Gold 5246.000 WR) Pentathlon
## 245 1960 Gold 11.000 <NA> 100 metres
## 246 1960 Gold 24.000 <NA> 200 metres
## 247 1960 Gold NA =WR) 800 metres
## 248 1960 Gold 10.800 <NA> 80 metres hurdles
## 249 1960 Gold 44.500 <NA> 4×100 metres relay
## 250 1960 Gold 1.850 OR) High jump
## 251 1960 Gold 1.850 OR) High jump
## 252 1960 Gold 6.370 OR) Long jump
## 253 1960 Gold 17.320 OR) Shot put
## 254 1960 Gold 55.100 OR) Discus throw
## 255 1960 Gold 55.980 OR) Javelin throw
## 256 1956 Gold 11.500 <NA> 100 metres
## 257 1956 Gold 23.400 =OR) 200 metres
## 258 1956 Gold 10.700 OR) 80 metres hurdles
## 259 1956 Gold 44.500 WR) 4 × 100 metres relay
## 260 1956 Gold 1.760 WR) High jump
## 261 1956 Gold 6.350 =WR) Long jump
## 262 1956 Gold 16.590 OR) Shot put
## 263 1956 Gold 53.690 OR) Discus throw
## 264 1956 Gold 53.860 OR) Javelin throw
## 265 1952 Gold 11.500 <NA> 100 metres
## 266 1952 Gold 23.700 <NA> 200 metres
## 267 1952 Gold 10.900 <NA> 80 metres hurdles
## 268 1952 Gold 45.900 <NA> 4 × 100 metres relay
## 269 1952 Gold NA <NA> High jump
## 270 1952 Gold NA <NA> Long jump
## 271 1952 Gold NA <NA> Shot put
## 272 1952 Gold NA <NA> Discus throw
## 273 1952 Gold NA <NA> Javelin throw
## 274 1948 Gold 11.900 <NA> 100 metres
## 275 1948 Gold 24.400 <NA> 200 metres
## 276 1948 Gold 11.200 <NA> 80 metres hurdles
## 277 1948 Gold 47.500 <NA> 4 × 100 metres relay
## 278 1948 Gold 1.680 <NA> High jump
## 279 1948 Gold 5.695 <NA> Long jump
## 280 1948 Gold 13.750 <NA> Shot put
## 281 1948 Gold 41.920 <NA> Discus throw
## 282 1948 Gold 45.570 <NA> Javelin throw
## 283 1936 Gold 11.500 <NA> 100 metres
## 284 1936 Gold 11.700 <NA> 80 metres hurdles
## 285 1936 Gold 46.900 <NA> 4 × 100 metres relay
## 286 1936 Gold 1.600 <NA> High jump
## 287 1936 Gold 47.630 <NA> Discus throw
## 288 1936 Gold 45.180 <NA> Javelin throw
## 289 2016 Silver 10.830 <NA> 100 metres
## 290 2016 Silver 21.880 <NA> 200 metres
## 291 2016 Silver 49.510 <NA> 400 metres
## 292 2016 Silver NA <NA> 800 metres
## 293 2016 Silver NA <NA> 1500 metres
## 294 2016 Silver NA <NA> 5000 metres
## 295 2016 Silver NA <NA> 10,000 metres
## 296 2016 Silver NA <NA>
## 297 2016 Silver 12.590 <NA> 100 metres hurdles
## 298 2016 Silver 53.550 <NA> 400 metres hurdles
## 299 2016 Silver NA <NA> 3000 metres steeplechase
## 300 2016 Silver NA <NA>
## 301 2016 Silver 41.360 <NA> 4 × 100 metres relay
## 302 2016 Silver NA <NA> 4 × 400 metres relay
## 303 2016 Silver NA <NA>
## 304 2016 Silver NA <NA> Marathon
## 305 2016 Silver NA <NA> 20 kilometres walk
## 306 2016 Silver NA <NA>
## 307 2016 Silver 1.970 <NA> High jump
## 308 2016 Silver 4.850 <NA> Pole vault
## 309 2016 Silver 7.150 <NA> Long jump
## 310 2016 Silver 14.980 <NA> Triple jump
## 311 2016 Silver 20.420 <NA> Shot put
## 312 2016 Silver 66.730 <NA> Discus throw
## 313 2016 Silver 76.750 <NA> Hammer throw
## 314 2016 Silver 64.920 <NA> Javelin throw
## 315 2016 Silver NA <NA>
## 316 2016 Silver 6775.000 <NA> Heptathlon
## 317 2012 Silver 10.780 <NA> 100 metres
## 318 2012 Silver 22.090 <NA> 200 metres
## 319 2012 Silver 49.700 <NA> 400 metres
## 320 2012 Silver NA <NA> 800 metres [e]
## 321 2012 Silver NA <NA> 1500 metres [f]
## 322 2012 Silver NA <NA> 5000 metres
## 323 2012 Silver NA <NA> 10,000 metres
## 324 2012 Silver NA <NA>
## 325 2012 Silver 12.370 <NA> 100 metres hurdles
## 326 2012 Silver 52.770 <NA> 400 metres hurdles
## 327 2012 Silver NA <NA> 3000 metres steeplechase [g]
## 328 2012 Silver NA <NA>
## 329 2012 Silver 41.410 <NA> 4 × 100 m relay
## 330 2012 Silver NA <NA> 4 × 400 m relay [h]
## 331 2012 Silver NA <NA>
## 332 2012 Silver NA <NA> Marathon
## 333 2012 Silver NA <NA> 20 kilometres walk [i]
## 334 2012 Silver NA <NA>
## 335 2012 Silver 2.030 <NA> High jump [j]
## 336 2012 Silver 4.750 <NA> Pole vault
## 337 2012 Silver 7.070 <NA> Long jump
## 338 2012 Silver 14.800 <NA> Triple jump
## 339 2012 Silver 20.220 <NA> Shot put [k]
## 340 2012 Silver 67.220 <NA> Discus throw [l]
## 341 2012 Silver 77.130 <NA> Hammer throw [m]
## 342 2012 Silver 65.160 <NA> Javelin throw
## 343 2012 Silver NA <NA>
## 344 2012 Silver 6649.000 <NA> Heptathlon [n]
## 345 2008 Silver 10.980 <NA> 100 metres
## 346 2008 Silver 21.930 <NA> 200 metres
## 347 2008 Silver 49.690 <NA> 400 metres
## 348 2008 Silver NA <NA> 800 metres
## 349 2008 Silver NA <NA> 1500 metres
## 350 2008 Silver NA <NA> 5000 metres [g]
## 351 2008 Silver NA <NA> 10,000 metres [h]
## 352 2008 Silver 12.640 <NA> 100 metres hurdles
## 353 2008 Silver 53.700 <NA> 400 metres hurdles
## 354 2008 Silver NA <NA> 3000 metres steeplechase [i]
## 355 2008 Silver 43.040 <NA> 4×100 metres relay [j]
## 356 2008 Silver NA <NA> 4×400 metres relay [k]
## 357 2008 Silver NA <NA> Marathon
## 358 2008 Silver NA <NA> 20 kilometres walk
## 359 2008 Silver NA <NA> High jump [l]
## 360 2008 Silver NA <NA> Pole vault
## 361 2008 Silver NA <NA> Long jump [m]
## 362 2008 Silver NA <NA> Triple jump [n]
## 363 2008 Silver NA <NA> Shot put [o]
## 364 2008 Silver NA <NA> Discus throw [p]
## 365 2008 Silver NA <NA> Hammer throw [q]
## 366 2008 Silver NA <NA> Javelin throw [r]
## 367 2008 Silver 6619.000 <NA> Heptathlon [s]
## 368 2000 Silver 11.120 <NA> 100 metres
## 369 2000 Silver 11.180 <NA> 100 metres
## 370 2000 Silver 22.280 NR) 200 metres
## 371 2000 Silver 49.580 <NA> 400 metres
## 372 2000 Silver NA <NA> 800 metres
## 373 2000 Silver NA <NA> 1500 metres
## 374 2000 Silver NA NR) 5000 metres
## 375 2000 Silver NA <NA> 10,000 metres
## 376 2000 Silver 12.680 <NA> 100 metres hurdles
## 377 2000 Silver 53.450 <NA> 400 metres hurdles
## 378 2000 Silver 42.130 <NA> 4×100 metres relay
## 379 2000 Silver NA <NA> 4×400 metres relay
## 380 2000 Silver NA <NA> Marathon
## 381 2000 Silver NA <NA> 20 kilometres walk
## 382 2000 Silver NA <NA> High jump
## 383 2000 Silver NA <NA> High jump
## 384 2000 Silver NA <NA> Pole vault
## 385 2000 Silver NA <NA> Long jump
## 386 2000 Silver NA <NA> Triple jump
## 387 2000 Silver NA <NA> Shot put
## 388 2000 Silver NA <NA> Discus throw
## 389 2000 Silver NA <NA> Hammer throw
## 390 2000 Silver NA <NA> Javelin throw
## 391 2000 Silver 6531.000 <NA> Heptathlon
## 392 1996 Silver 10.940 <NA> 100 metres
## 393 1996 Silver 22.240 <NA> 200 metres
## 394 1996 Silver 48.630 <NA> 400 metres
## 395 1996 Silver NA <NA> 800 metres
## 396 1996 Silver NA <NA> 1500 metres
## 397 1996 Silver NA <NA> 5000 metres
## 398 1996 Silver NA <NA> 10,000 metres
## 399 1996 Silver 12.590 <NA> 100 metres hurdles
## 400 1996 Silver 53.080 <NA> 400 metres hurdles
## 401 1996 Silver 42.140 <NA> 4×100 metres relay
## 402 1996 Silver NA <NA> 4×400 metres relay
## 403 1996 Silver NA <NA> Marathon
## 404 1996 Silver NA <NA> 10 kilometres walk
## 405 1996 Silver NA <NA> High jump
## 406 1996 Silver NA <NA> Long jump
## 407 1996 Silver NA <NA> Triple jump
## 408 1996 Silver NA <NA> Shot put
## 409 1996 Silver NA <NA> Discus throw
## 410 1996 Silver NA <NA> Javelin throw
## 411 1996 Silver 6563.000 <NA> Heptathlon
## 412 1992 Silver 10.830 <NA> 100 metres
## 413 1992 Silver 22.020 <NA> 200 metres
## 414 1992 Silver 49.050 <NA> 400 metres
## 415 1992 Silver NA <NA> 800 metres
## 416 1992 Silver NA <NA> 1500 metres
## 417 1992 Silver NA <NA> 3000 metres
## 418 1992 Silver NA <NA> 10,000 metres
## 419 1992 Silver 12.690 <NA> 100 metres hurdles
## 420 1992 Silver 53.690 <NA> 400 metres hurdles
## 421 1992 Silver 42.160 <NA> 4×100 metres relay
## 422 1992 Silver NA <NA> 4×400 metres relay
## 423 1992 Silver NA <NA> Marathon
## 424 1992 Silver NA <NA> 10 kilometres walk
## 425 1992 Silver NA <NA> High jump
## 426 1992 Silver NA <NA> Long jump
## 427 1992 Silver NA <NA> Shot put
## 428 1992 Silver NA <NA> Discus throw
## 429 1992 Silver NA <NA> Javelin throw
## 430 1992 Silver 6845.000 <NA> Heptathlon
## 431 1988 Silver 10.830 <NA> 100 metres
## 432 1988 Silver 21.720 <NA> 200 metres
## 433 1988 Silver 49.450 <NA> 400 metres
## 434 1988 Silver NA <NA> 800 metres
## 435 1988 Silver NA <NA> 1500 metres
## 436 1988 Silver NA <NA> 3000 metres
## 437 1988 Silver NA <NA> 10,000 metres
## 438 1988 Silver 12.610 <NA> 100 metres hurdles
## 439 1988 Silver 53.180 <NA> 400 metres hurdles
## 440 1988 Silver 42.090 <NA> 4×100 metres relay
## 441 1988 Silver NA AR) 4×400 metres relay
## 442 1988 Silver NA <NA> Marathon
## 443 1988 Silver NA <NA> High jump
## 444 1988 Silver NA <NA> Long jump
## 445 1988 Silver NA <NA> Shot put
## 446 1988 Silver NA <NA> Discus throw
## 447 1988 Silver NA <NA> Javelin throw
## 448 1988 Silver 6897.000 <NA> Heptathlon
## 449 1984 Silver 11.130 <NA> 100 metres
## 450 1984 Silver 22.040 <NA> 200 metres
## 451 1984 Silver 49.050 <NA> 400 metres
## 452 1984 Silver NA <NA> 800 metres
## 453 1984 Silver NA <NA> 1500 metres
## 454 1984 Silver NA <NA> 3000 metres
## 455 1984 Silver 12.880 <NA> 100 metres hurdles
## 456 1984 Silver 12.880 <NA> 100 metres hurdles
## 457 1984 Silver 55.200 <NA> 400 metres hurdles
## 458 1984 Silver 42.770 <NA> 4×100 metres relay
## 459 1984 Silver NA <NA> 4×400 metres relay
## 460 1984 Silver NA <NA> Marathon
## 461 1984 Silver NA <NA> High jump
## 462 1984 Silver NA <NA> Long jump
## 463 1984 Silver NA <NA> Shot put
## 464 1984 Silver NA <NA> Discus throw
## 465 1984 Silver NA <NA> Javelin throw
## 466 1984 Silver 6385.000 <NA> Heptathlon
## 467 1980 Silver 11.070 <NA> 100 metres
## 468 1980 Silver 22.190 <NA> 200 metres
## 469 1980 Silver 49.460 <NA> 400 metres
## 470 1980 Silver NA <NA> 800 metres
## 471 1980 Silver NA <NA> 1500 metres
## 472 1980 Silver 12.630 <NA> 100 metres hurdles
## 473 1980 Silver 42.100 <NA> 4×100 metres relay
## 474 1980 Silver NA <NA> 4×400 metres relay
## 475 1980 Silver NA <NA> High jump
## 476 1980 Silver NA <NA> Long jump
## 477 1980 Silver NA <NA> Shot put
## 478 1980 Silver NA <NA> Discus throw
## 479 1980 Silver NA <NA> Javelin throw
## 480 1980 Silver 4937.000 <NA> Pentathlon
## 481 1976 Silver 11.130 <NA> 100 metres
## 482 1976 Silver 22.390 <NA> 200 metres
## 483 1976 Silver 50.510 <NA> 400 metres
## 484 1976 Silver NA <NA> 800 metres
## 485 1976 Silver NA <NA> 1500 metres
## 486 1976 Silver 12.780 <NA> 100 metres hurdles
## 487 1976 Silver 42.590 <NA> 4×100 metres relay
## 488 1976 Silver NA <NA> 4×400 metres relay
## 489 1976 Silver NA <NA> High jump
## 490 1976 Silver NA <NA> Long jump
## 491 1976 Silver NA <NA> Shot put
## 492 1976 Silver NA <NA> Discus throw
## 493 1976 Silver NA <NA> Javelin throw
## 494 1976 Silver 4745.000 <NA> Pentathlon
## 495 1972 Silver 11.230 <NA> 100 metres
## 496 1972 Silver 22.450 <NA> 200 metres
## 497 1972 Silver 51.210 <NA> 400 metres
## 498 1972 Silver NA <NA> 800 metres
## 499 1972 Silver NA <NA> 1500 metres
## 500 1972 Silver 12.840 <NA> 100 metres hurdles
## 501 1972 Silver 42.950 <NA> 4×100 metres relay
## 502 1972 Silver NA <NA> 4×400 metres relay
## 503 1972 Silver 1.880 <NA> High jump
## 504 1972 Silver 6.770 <NA> Long jump
## 505 1972 Silver 20.220 <NA> Shot put
## 506 1972 Silver 65.060 <NA> Discus throw
## 507 1972 Silver 62.540 <NA> Javelin throw
## 508 1972 Silver 4791.000 <NA> Pentathlon
## 509 1968 Silver 11.150 <NA> 100 metres
## 510 1968 Silver 22.740 <NA> 200 metres
## 511 1968 Silver 52.120 <NA> 400 metres
## 512 1968 Silver NA <NA> 800 metres
## 513 1968 Silver 10.460 <NA> 80 metres hurdles
## 514 1968 Silver 43.360 <NA> 4×100 metres relay
## 515 1968 Silver 1.800 <NA> High jump
## 516 1968 Silver 6.680 <NA> Long jump
## 517 1968 Silver 18.780 <NA> Shot put
## 518 1968 Silver 57.760 <NA> Discus throw
## 519 1968 Silver 59.920 <NA> Javelin throw
## 520 1968 Silver 4966.000 <NA> Pentathlon
## 521 1964 Silver 11.600 <NA> 100 metres
## 522 1964 Silver 23.100 <NA> 200 metres
## 523 1964 Silver 52.200 <NA> 400 metres
## 524 1964 Silver NA <NA> 800 metres
## 525 1964 Silver 10.500 <NA> 80 metres hurdles
## 526 1964 Silver 43.900 <NA> 4×100 metres relay
## 527 1964 Silver 1.800 <NA> High jump
## 528 1964 Silver 6.600 <NA> Long jump
## 529 1964 Silver 17.610 <NA> Shot put
## 530 1964 Silver 57.210 <NA> Discus throw
## 531 1964 Silver 58.270 <NA> Javelin throw
## 532 1964 Silver 5035.000 <NA> Pentathlon
## 533 1960 Silver 11.300 <NA> 100 metres
## 534 1960 Silver 24.400 <NA> 200 metres
## 535 1960 Silver NA <NA> 800 metres
## 536 1960 Silver 10.900 <NA> 80 metres hurdles
## 537 1960 Silver 44.800 <NA> 4×100 metres relay
## 538 1960 Silver 1.710 <NA> High jump
## 539 1960 Silver 1.710 <NA> High jump
## 540 1960 Silver 6.270 <NA> Long jump
## 541 1960 Silver 16.610 <NA> Shot put
## 542 1960 Silver 52.590 <NA> Discus throw
## 543 1960 Silver 53.780 <NA> Javelin throw
## 544 1956 Silver 11.700 <NA> 100 metres
## 545 1956 Silver 23.700 <NA> 200 metres
## 546 1956 Silver 10.900 <NA> 80 metres hurdles
## 547 1956 Silver 44.700 <NA> 4 × 100 metres relay
## 548 1956 Silver 1.670 <NA> High jump
## 549 1956 Silver 6.090 <NA> Long jump
## 550 1956 Silver 16.530 <NA> Shot put
## 551 1956 Silver 52.540 <NA> Discus throw
## 552 1956 Silver 50.380 <NA> Javelin throw
## 553 1952 Silver 11.800 <NA> 100 metres
## 554 1952 Silver 24.200 <NA> 200 metres
## 555 1952 Silver 11.100 <NA> 80 metres hurdles
## 556 1952 Silver 45.900 <NA> 4 × 100 metres relay
## 557 1952 Silver NA <NA> High jump
## 558 1952 Silver NA <NA> Long jump
## 559 1952 Silver NA <NA> Shot put
## 560 1952 Silver NA <NA> Discus throw
## 561 1952 Silver NA <NA> Javelin throw
## 562 1948 Silver 12.200 <NA> 100 metres
## 563 1948 Silver 25.100 <NA> 200 metres
## 564 1948 Silver 11.200 <NA> 80 metres hurdles
## 565 1948 Silver 47.600 <NA> 4 × 100 metres relay
## 566 1948 Silver 1.680 <NA> High jump
## 567 1948 Silver 5.600 <NA> Long jump
## 568 1948 Silver 13.090 <NA> Shot put
## 569 1948 Silver 41.170 <NA> Discus throw
## 570 1948 Silver 43.790 <NA> Javelin throw
## 571 1936 Silver 11.700 <NA> 100 metres
## 572 1936 Silver 11.700 <NA> 80 metres hurdles
## 573 1936 Silver 47.600 <NA> 4 × 100 metres relay
## 574 1936 Silver 1.600 <NA> High jump
## 575 1936 Silver 46.220 <NA> Discus throw
## 576 1936 Silver 43.290 <NA> Javelin throw
## 577 2016 Bronze 10.860 <NA> 100 metres
## 578 2016 Bronze 22.150 <NA> 200 metres
## 579 2016 Bronze 49.850 <NA> 400 metres
## 580 2016 Bronze NA <NA> 800 metres
## 581 2016 Bronze NA <NA> 1500 metres
## 582 2016 Bronze NA <NA> 5000 metres
## 583 2016 Bronze NA <NA> 10,000 metres
## 584 2016 Bronze NA <NA>
## 585 2016 Bronze 12.610 <NA> 100 metres hurdles
## 586 2016 Bronze 53.720 <NA> 400 metres hurdles
## 587 2016 Bronze NA <NA> 3000 metres steeplechase
## 588 2016 Bronze NA <NA>
## 589 2016 Bronze 41.770 <NA> 4 × 100 metres relay
## 590 2016 Bronze NA <NA> 4 × 400 metres relay
## 591 2016 Bronze NA <NA>
## 592 2016 Bronze NA <NA> Marathon
## 593 2016 Bronze NA <NA> 20 kilometres walk
## 594 2016 Bronze NA <NA>
## 595 2016 Bronze 1.970 <NA> High jump
## 596 2016 Bronze 4.800 <NA> Pole vault
## 597 2016 Bronze 7.080 <NA> Long jump
## 598 2016 Bronze 14.740 <NA> Triple jump
## 599 2016 Bronze 19.870 <NA> Shot put
## 600 2016 Bronze 65.340 <NA> Discus throw
## 601 2016 Bronze 74.540 <NA> Hammer throw
## 602 2016 Bronze 64.800 <NA> Javelin throw
## 603 2016 Bronze NA <NA>
## 604 2016 Bronze 6653.000 <NA> Heptathlon
## 605 2012 Bronze 10.810 <NA> 100 metres
## 606 2012 Bronze 22.140 <NA> 200 metres
## 607 2012 Bronze 49.720 <NA> 400 metres
## 608 2012 Bronze NA <NA> 800 metres [e]
## 609 2012 Bronze NA <NA> 1500 metres [f]
## 610 2012 Bronze NA <NA> 5000 metres
## 611 2012 Bronze NA <NA> 10,000 metres
## 612 2012 Bronze NA <NA>
## 613 2012 Bronze 12.480 <NA> 100 metres hurdles
## 614 2012 Bronze 53.380 <NA> 400 metres hurdles
## 615 2012 Bronze NA <NA> 3000 metres steeplechase [g]
## 616 2012 Bronze NA <NA>
## 617 2012 Bronze 42.040 <NA> 4 × 100 m relay
## 618 2012 Bronze NA <NA> 4 × 400 m relay [h]
## 619 2012 Bronze NA <NA>
## 620 2012 Bronze NA <NA> Marathon
## 621 2012 Bronze NA <NA> 20 kilometres walk [i]
## 622 2012 Bronze NA <NA>
## 623 2012 Bronze 2.000 <NA> High jump [j]
## 624 2012 Bronze 4.700 <NA> Pole vault
## 625 2012 Bronze 6.890 <NA> Long jump
## 626 2012 Bronze 14.790 <NA> Triple jump
## 627 2012 Bronze 19.630 <NA> Shot put [k]
## 628 2012 Bronze 66.380 <NA> Discus throw [l]
## 629 2012 Bronze 76.340 <NA> Hammer throw [m]
## 630 2012 Bronze 64.910 <NA> Javelin throw
## 631 2012 Bronze NA <NA>
## 632 2012 Bronze 6599.000 <NA> Heptathlon [n]
## 633 2008 Bronze NA <NA> 100 metres
## 634 2008 Bronze 22.000 <NA> 200 metres
## 635 2008 Bronze 49.930 <NA> 400 metres
## 636 2008 Bronze NA <NA> 800 metres
## 637 2008 Bronze NA <NA> 1500 metres
## 638 2008 Bronze NA <NA> 5000 metres [g]
## 639 2008 Bronze NA <NA> 10,000 metres [h]
## 640 2008 Bronze 12.640 <NA> 100 metres hurdles
## 641 2008 Bronze 53.840 <NA> 400 metres hurdles
## 642 2008 Bronze NA <NA> 3000 metres steeplechase [i]
## 643 2008 Bronze 43.140 <NA> 4×100 metres relay [j]
## 644 2008 Bronze NA <NA> 4×400 metres relay [k]
## 645 2008 Bronze NA <NA> Marathon
## 646 2008 Bronze NA <NA> 20 kilometres walk
## 647 2008 Bronze NA <NA> High jump [l]
## 648 2008 Bronze NA <NA> Pole vault
## 649 2008 Bronze NA <NA> Long jump [m]
## 650 2008 Bronze NA <NA> Triple jump [n]
## 651 2008 Bronze NA <NA> Shot put [o]
## 652 2008 Bronze NA <NA> Discus throw [p]
## 653 2008 Bronze NA <NA> Hammer throw [q]
## 654 2008 Bronze 65.750 <NA> Javelin throw [r]
## 655 2008 Bronze 6517.000 <NA> Heptathlon [s]
## 656 2000 Bronze 11.190 <NA> 100 metres
## 657 2000 Bronze 11.190 <NA> 100 metres
## 658 2000 Bronze 22.350 <NA> 200 metres
## 659 2000 Bronze 49.720 <NA> 400 metres
## 660 2000 Bronze NA <NA> 800 metres
## 661 2000 Bronze NA <NA> 1500 metres
## 662 2000 Bronze NA <NA> 5000 metres
## 663 2000 Bronze NA NR) 10,000 metres
## 664 2000 Bronze 12.760 <NA> 100 metres hurdles
## 665 2000 Bronze 53.570 <NA> 400 metres hurdles
## 666 2000 Bronze 42.200 <NA> 4×100 metres relay
## 667 2000 Bronze NA <NA> 4×400 metres relay
## 668 2000 Bronze NA <NA> Marathon
## 669 2000 Bronze NA <NA> 20 kilometres walk
## 670 2000 Bronze NA <NA> High jump
## 671 2000 Bronze NA <NA> High jump
## 672 2000 Bronze NA <NA> Pole vault
## 673 2000 Bronze NA <NA> Long jump
## 674 2000 Bronze NA <NA> Triple jump
## 675 2000 Bronze NA <NA> Shot put
## 676 2000 Bronze NA <NA> Discus throw
## 677 2000 Bronze NA <NA> Hammer throw
## 678 2000 Bronze NA <NA> Javelin throw
## 679 2000 Bronze 6527.000 <NA> Heptathlon
## 680 1996 Bronze 10.960 <NA> 100 metres
## 681 1996 Bronze 22.380 <NA> 200 metres
## 682 1996 Bronze 49.100 <NA> 400 metres
## 683 1996 Bronze NA <NA> 800 metres
## 684 1996 Bronze NA NR) 1500 metres
## 685 1996 Bronze NA <NA> 5000 metres
## 686 1996 Bronze NA <NA> 10,000 metres
## 687 1996 Bronze 12.650 <NA> 100 metres hurdles
## 688 1996 Bronze 53.220 <NA> 400 metres hurdles
## 689 1996 Bronze 42.240 <NA> 4×100 metres relay
## 690 1996 Bronze NA <NA> 4×400 metres relay
## 691 1996 Bronze NA <NA> Marathon
## 692 1996 Bronze NA <NA> 10 kilometres walk
## 693 1996 Bronze NA <NA> High jump
## 694 1996 Bronze NA <NA> Long jump
## 695 1996 Bronze NA <NA> Triple jump
## 696 1996 Bronze NA <NA> Shot put
## 697 1996 Bronze NA <NA> Discus throw
## 698 1996 Bronze NA <NA> Javelin throw
## 699 1996 Bronze 6489.000 <NA> Heptathlon
## 700 1992 Bronze 10.840 <NA> 100 metres
## 701 1992 Bronze 22.090 <NA> 200 metres
## 702 1992 Bronze 49.640 <NA> 400 metres
## 703 1992 Bronze NA <NA> 800 metres
## 704 1992 Bronze NA <NA> 1500 metres
## 705 1992 Bronze NA <NA> 3000 metres
## 706 1992 Bronze NA <NA> 10,000 metres
## 707 1992 Bronze 12.700 <NA> 100 metres hurdles
## 708 1992 Bronze 54.310 <NA> 400 metres hurdles
## 709 1992 Bronze 42.810 <NA> 4×100 metres relay
## 710 1992 Bronze NA <NA> 4×400 metres relay
## 711 1992 Bronze NA <NA> Marathon
## 712 1992 Bronze NA <NA> 10 kilometres walk
## 713 1992 Bronze NA <NA> High jump
## 714 1992 Bronze NA <NA> Long jump
## 715 1992 Bronze NA <NA> Shot put
## 716 1992 Bronze NA <NA> Discus throw
## 717 1992 Bronze NA <NA> Javelin throw
## 718 1992 Bronze 6649.000 <NA> Heptathlon
## 719 1988 Bronze 10.850 <NA> 100 metres
## 720 1988 Bronze 21.950 <NA> 200 metres
## 721 1988 Bronze 49.900 <NA> 400 metres
## 722 1988 Bronze NA <NA> 800 metres
## 723 1988 Bronze NA <NA> 1500 metres
## 724 1988 Bronze NA <NA> 3000 metres
## 725 1988 Bronze NA <NA> 10,000 metres
## 726 1988 Bronze 12.750 <NA> 100 metres hurdles
## 727 1988 Bronze 53.630 <NA> 400 metres hurdles
## 728 1988 Bronze 42.750 <NA> 4×100 metres relay
## 729 1988 Bronze NA <NA> 4×400 metres relay
## 730 1988 Bronze NA <NA> Marathon
## 731 1988 Bronze NA <NA> High jump
## 732 1988 Bronze NA <NA> Long jump
## 733 1988 Bronze NA <NA> Shot put
## 734 1988 Bronze NA <NA> Discus throw
## 735 1988 Bronze NA <NA> Javelin throw
## 736 1988 Bronze 6858.000 <NA> Heptathlon
## 737 1984 Bronze 11.160 <NA> 100 metres
## 738 1984 Bronze 22.090 <NA> 200 metres
## 739 1984 Bronze 49.420 <NA> 400 metres
## 740 1984 Bronze NA <NA> 800 metres
## 741 1984 Bronze NA <NA> 1500 metres
## 742 1984 Bronze NA <NA> 3000 metres
## 743 1984 Bronze 13.060 <NA> 100 metres hurdles
## 744 1984 Bronze 13.060 <NA> 100 metres hurdles
## 745 1984 Bronze 55.410 <NA> 400 metres hurdles
## 746 1984 Bronze 43.110 <NA> 4×100 metres relay
## 747 1984 Bronze NA <NA> 4×400 metres relay
## 748 1984 Bronze NA <NA> Marathon
## 749 1984 Bronze NA <NA> High jump
## 750 1984 Bronze NA <NA> Long jump
## 751 1984 Bronze NA <NA> Shot put
## 752 1984 Bronze NA <NA> Discus throw
## 753 1984 Bronze NA <NA> Javelin throw
## 754 1984 Bronze 6363.000 <NA> Heptathlon
## 755 1980 Bronze 11.140 <NA> 100 metres
## 756 1980 Bronze 22.200 <NA> 200 metres
## 757 1980 Bronze 49.660 <NA> 400 metres
## 758 1980 Bronze NA <NA> 800 metres
## 759 1980 Bronze NA <NA> 1500 metres
## 760 1980 Bronze 12.650 <NA> 100 metres hurdles
## 761 1980 Bronze 42.430 <NA> 4×100 metres relay
## 762 1980 Bronze NA <NA> 4×400 metres relay
## 763 1980 Bronze NA <NA> High jump
## 764 1980 Bronze NA <NA> Long jump
## 765 1980 Bronze NA <NA> Shot put
## 766 1980 Bronze NA <NA> Discus throw
## 767 1980 Bronze NA <NA> Javelin throw
## 768 1980 Bronze 4875.000 <NA> Pentathlon
## 769 1976 Bronze 11.170 <NA> 100 metres
## 770 1976 Bronze 22.470 <NA> 200 metres
## 771 1976 Bronze 50.550 <NA> 400 metres
## 772 1976 Bronze NA <NA> 800 metres
## 773 1976 Bronze NA <NA> 1500 metres
## 774 1976 Bronze 12.800 <NA> 100 metres hurdles
## 775 1976 Bronze 43.090 <NA> 4×100 metres relay
## 776 1976 Bronze NA <NA> 4×400 metres relay
## 777 1976 Bronze NA <NA> High jump
## 778 1976 Bronze NA <NA> Long jump
## 779 1976 Bronze NA <NA> Shot put
## 780 1976 Bronze NA <NA> Discus throw
## 781 1976 Bronze NA <NA> Javelin throw
## 782 1976 Bronze 4740.000 <NA> Pentathlon
## 783 1972 Bronze 11.240 <NA> 100 metres
## 784 1972 Bronze 22.740 <NA> 200 metres
## 785 1972 Bronze 51.640 <NA> 400 metres
## 786 1972 Bronze NA <NA> 800 metres
## 787 1972 Bronze NA <NA> 1500 metres
## 788 1972 Bronze 12.900 <NA> 100 metres hurdles
## 789 1972 Bronze 43.360 <NA> 4×100 metres relay
## 790 1972 Bronze NA <NA> 4×400 metres relay
## 791 1972 Bronze 1.880 <NA> High jump
## 792 1972 Bronze 6.670 <NA> Long jump
## 793 1972 Bronze 19.350 <NA> Shot put
## 794 1972 Bronze 64.340 <NA> Discus throw
## 795 1972 Bronze 59.940 <NA> Javelin throw
## 796 1972 Bronze 4768.000 <NA> Pentathlon
## 797 1968 Bronze 11.190 <NA> 100 metres
## 798 1968 Bronze 22.880 <NA> 200 metres
## 799 1968 Bronze 52.250 <NA> 400 metres
## 800 1968 Bronze NA <NA> 800 metres
## 801 1968 Bronze 10.510 <NA> 80 metres hurdles
## 802 1968 Bronze 43.410 <NA> 4×100 metres relay
## 803 1968 Bronze 1.800 <NA> High jump
## 804 1968 Bronze 6.660 <NA> Long jump
## 805 1968 Bronze 18.190 <NA> Shot put
## 806 1968 Bronze 54.900 <NA> Discus throw
## 807 1968 Bronze 58.040 <NA> Javelin throw
## 808 1968 Bronze 4959.000 <NA> Pentathlon
## 809 1964 Bronze 11.600 <NA> 100 metres
## 810 1964 Bronze 23.100 <NA> 200 metres
## 811 1964 Bronze 53.400 <NA> 400 metres
## 812 1964 Bronze NA <NA> 800 metres
## 813 1964 Bronze 10.600 <NA> 80 metres hurdles
## 814 1964 Bronze 44.000 <NA> 4×100 metres relay
## 815 1964 Bronze 1.780 <NA> High jump
## 816 1964 Bronze 6.420 <NA> Long jump
## 817 1964 Bronze 17.450 <NA> Shot put
## 818 1964 Bronze 56.970 <NA> Discus throw
## 819 1964 Bronze 57.060 <NA> Javelin throw
## 820 1964 Bronze 4956.000 <NA> Pentathlon
## 821 1960 Bronze 11.300 <NA> 100 metres
## 822 1960 Bronze 24.700 <NA> 200 metres
## 823 1960 Bronze NA <NA> 800 metres
## 824 1960 Bronze 11.000 <NA> 80 metres hurdles
## 825 1960 Bronze 45.000 <NA> 4×100 metres relay
## 826 1960 Bronze NA <NA> High jump
## 827 1960 Bronze NA <NA> High jump
## 828 1960 Bronze 6.210 <NA> Long jump
## 829 1960 Bronze 16.420 <NA> Shot put
## 830 1960 Bronze 52.360 <NA> Discus throw
## 831 1960 Bronze 53.450 <NA> Javelin throw
## 832 1956 Bronze 11.700 <NA> 100 metres
## 833 1956 Bronze 23.800 <NA> 200 metres
## 834 1956 Bronze 11.000 <NA> 80 metres hurdles
## 835 1956 Bronze 44.900 <NA> 4 × 100 metres relay
## 836 1956 Bronze NA <NA> High jump
## 837 1956 Bronze 6.070 <NA> Long jump
## 838 1956 Bronze 15.610 <NA> Shot put
## 839 1956 Bronze 52.020 <NA> Discus throw
## 840 1956 Bronze 50.280 <NA> Javelin throw
## 841 1952 Bronze 11.900 <NA> 100 metres
## 842 1952 Bronze 24.200 <NA> 200 metres
## 843 1952 Bronze 11.100 <NA> 80 metres hurdles
## 844 1952 Bronze 46.200 <NA> 4 × 100 metres relay
## 845 1952 Bronze NA <NA> High jump
## 846 1952 Bronze NA <NA> Long jump
## 847 1952 Bronze NA <NA> Shot put
## 848 1952 Bronze NA <NA> Discus throw
## 849 1952 Bronze NA <NA> Javelin throw
## 850 1948 Bronze 12.200 <NA> 100 metres
## 851 1948 Bronze 25.200 <NA> 200 metres
## 852 1948 Bronze 11.400 <NA> 80 metres hurdles
## 853 1948 Bronze 47.800 <NA> 4 × 100 metres relay
## 854 1948 Bronze 1.610 <NA> High jump
## 855 1948 Bronze 5.575 <NA> Long jump
## 856 1948 Bronze 13.080 <NA> Shot put
## 857 1948 Bronze 40.470 <NA> Discus throw
## 858 1948 Bronze 42.080 <NA> Javelin throw
## 859 1936 Bronze 11.900 <NA> 100 metres
## 860 1936 Bronze 11.700 <NA> 80 metres hurdles
## 861 1936 Bronze 47.800 <NA> 4 × 100 metres relay
## 862 1936 Bronze 1.600 <NA> High jump
## 863 1936 Bronze 39.800 <NA> Discus throw
## 864 1936 Bronze 41.800 <NA> Javelin throw
## Name
## 1 Elaine Thompson
## 2 Elaine Thompson
## 3 Shaunae Miller
## 4 Caster Semenya
## 5 Faith Kipyegon
## 6 Vivian Cheruiyot
## 7 Almaz Ayana
## 8 NA
## 9 Brianna Rollins
## 10 Dalilah Muhammad
## 11 Ruth Jebet
## 12 NA
## 13 United States
## 14 United States
## 15 NA
## 16 Jemima Sumgong
## 17 Liu Hong
## 18 NA
## 19 Ruth Beitia
## 20 Ekaterini Stefanidi
## 21 Tianna Bartoletta
## 22 Caterine Ibargüen
## 23 Michelle Carter
## 24 Sandra Perković
## 25 Anita Włodarczyk
## 26 Sara Kolak
## 27 NA
## 28 Nafissatou Thiam
## 29 Shelly-Ann Fraser-Pryce
## 30 Allyson Felix
## 31 Sanya Richards-Ross
## 32 Caster Semenya
## 33 Maryam Yusuf
## 34 Meseret Defar
## 35 Tirunesh Dibaba
## 36 NA
## 37 Sally Pearson
## 38 Natalya Antyukh
## 39 Habiba Ghribi
## 40 NA
## 41 United States
## 42 United States
## 43 NA
## 44 Tiki Gelana
## 45 Elena Lashmanova
## 46 NA
## 47 Anna Chicherova
## 48 Jenn Suhr
## 49 Brittney Reese
## 50 Olga Rypakova
## 51 Valerie Adams
## 52 Sandra Perković
## 53 Anita Włodarczyk
## 54 Barbora Špotáková
## 55 NA
## 56 Jessica Ennis
## 57 Shelly-Ann Fraser
## 58 Veronica Campbell-Brown
## 59 Christine Ohuruogu
## 60 Pamela Jelimo
## 61 Nancy Jebet
## 62 Tirunesh Dibaba
## 63 Tirunesh Dibaba
## 64 Dawn Harper
## 65 Melaine Walker
## 66 Gulnara Galkina-Samitova
## 67 BelgiumOlivia BorléeHanna
## 68 United StatesMary
## 69 Constantina Diṭă-Tomescu
## 70 Olga Kaniskina
## 71 Tia Hellebaut
## 72 Yelena Isinbayeva
## 73 Maurren Maggi
## 74 Françoise Mbango
## 75 Valerie Vili
## 76 Stephanie Brown
## 77 Yipsi Moreno
## 78 Barbora Špotáková
## 79 Natalya Dobrynska
## 80 Not awarded[2]
## 81 Not awarded[2]
## 82 Pauline Davis-Thompson[2]
## 83 Cathy Freeman
## 84 Maria de
## 85 Nouria Mérah-Benida
## 86 Gabriela Szabo
## 87 Derartu Tulu
## 88 Olga Shishigina
## 89 Irina Privalova
## 90 Bahamas (BAH)Savatheda
## 91 United States
## 92 Naoko Takahashi
## 93 Wang Liping
## 94 Yelena Yelesina
## 95 Yelena Yelesina
## 96 Stacy Dragila
## 97 Heike Drechsler
## 98 Tereza Marinova
## 99 Yanina Karolchik
## 100 Ellina Zvereva
## 101 Kamila Skolimowska
## 102 Trine Hattestad
## 103 Denise Lewis
## 104 Gail Devers
## 105 Marie-José Pérec
## 106 Marie-José Pérec
## 107 Svetlana Masterkova
## 108 Svetlana Masterkova
## 109 Wang Junxia
## 110 Fernanda Ribeiro
## 111 Ludmila Engquist
## 112 Deon Hemmings
## 113 United States
## 114 United States
## 115 Fatuma Roba
## 116 Yelena Nikolayeva
## 117 Stefka Kostadinova
## 118 Chioma Ajunwa
## 119 Inessa Kravets
## 120 Astrid Kumbernuss
## 121 Ilke Wyludda
## 122 Heli Rantanen
## 123 Ghada Shouaa
## 124 Gail Devers
## 125 Gwen Torrence
## 126 Marie-José Pérec
## 127 Ellen van
## 128 Hassiba Boulmerka
## 129 Yelena Romanova
## 130 Derartu Tulu
## 131 Voula Patoulidou
## 132 Sally Gunnell
## 133 United States
## 134 Unified Team
## 135 Valentina Yegorova
## 136 Chen Yueling
## 137 Heike Henkel
## 138 Heike Drechsler
## 139 Svetlana Krivelyova
## 140 Maritza Martén
## 141 Silke Renk
## 142 Jackie Joyner-Kersee
## 143 Florence Griffith
## 144 Florence Griffith
## 145 Olga Bryzgina
## 146 Sigrun Wodars
## 147 Paula Ivan
## 148 Tetyana Samolenko
## 149 Olga Bondarenko
## 150 Yordanka Donkova
## 151 Debbie Flintoff-King
## 152 United States
## 153 Soviet Union
## 154 Rosa Mota
## 155 Louise Ritter
## 156 Jackie Joyner-Kersee
## 157 Natalya Lisovskaya
## 158 Martina Hellmann
## 159 Petra Felke
## 160 Jackie Joyner-Kersee
## 161 Evelyn Ashford
## 162 Valerie Brisco-Hooks
## 163 Valerie Brisco-Hooks
## 164 Doina Melinte
## 165 Gabriella Dorio
## 166 Maricica Puică
## 167 Benita Fitzgerald
## 168 Benita Fitzgerald
## 169 Nawal El
## 170 United States
## 171 United States
## 172 Joan Benoit
## 173 Ulrike Meyfarth
## 174 Anişoara Cuşmir-Stanciu
## 175 Claudia Losch
## 176 Ria Stalman
## 177 Tessa Sanderson
## 178 Glynis Nunn
## 179 Lyudmila Kondratyeva
## 180 Bärbel Wöckel
## 181 Marita Koch
## 182 Nadiya Olizarenko
## 183 Tatyana Kazankina
## 184 Vera Komisova
## 185 East Germany
## 186 Soviet Union
## 187 Sara Simeoni
## 188 Tatyana Kolpakova
## 189 Ilona Slupianek
## 190 Evelin Jahl
## 191 María Caridad
## 192 Nadiya Tkachenko
## 193 Annegret Richter
## 194 Bärbel Eckert
## 195 Irena Szewińska
## 196 Tatyana Kazankina
## 197 Tatyana Kazankina
## 198 Johanna Schaller
## 199 East Germany
## 200 East Germany
## 201 Rosemarie Ackermann
## 202 Angela Voigt
## 203 Ivanka Khristova
## 204 Evelin Schlaak
## 205 Ruth Fuchs
## 206 Siegrun Siegl
## 207 Renate Stecher
## 208 Renate Stecher
## 209 Monika Zehrt
## 210 Hildegard Falck
## 211 Ludmila Bragina
## 212 Annelie Ehrhardt
## 213 West Germany
## 214 East Germany
## 215 Ulrike Meyfarth
## 216 Heide Rosendahl
## 217 Nadezhda Chizhova
## 218 Faina Melnik
## 219 Ruth Fuchs
## 220 Mary Peters
## 221 Wyomia Tyus
## 222 Irena Szewińska
## 223 Colette Besson
## 224 Madeline Manning
## 225 Maureen Caird
## 226 United States
## 227 Miloslava Rezková
## 228 Viorica Viscopoleanu
## 229 Margitta Gummel
## 230 Lia Manoliu
## 231 Angéla Németh
## 232 Ingrid Becker
## 233 Wyomia Tyus
## 234 Edith McGuire
## 235 Betty Cuthbert
## 236 Ann Packer
## 237 Karin Balzer
## 238 Poland (POL)Teresa
## 239 Iolanda Balaş
## 240 Mary Rand
## 241 Tamara Press
## 242 Tamara Press
## 243 Mihaela Peneş
## 244 Irina Press
## 245 Wilma Rudolph
## 246 Wilma Rudolph
## 247 Lyudmila Shevtsova
## 248 Irina Press
## 249 United States
## 250 Iolanda Balaș
## 251 Iolanda Balaș
## 252 Vera Krepkina
## 253 Tamara Press
## 254 Nina Ponomaryova
## 255 Elvīra Ozoliņa
## 256 Betty Cuthbert
## 257 Betty Cuthbert
## 258 Shirley Strickland
## 259 Australia (AUS)Norma
## 260 Mildred McDaniel
## 261 Elżbieta Krzesińska
## 262 Tamara Tyshkevich
## 263 Olga Fikotová
## 264 Inese Jaunzeme
## 265 Marjorie Jackson
## 266 Marjorie Jackson
## 267 Shirley Strickland
## 268 United States
## 269 Esther Brand
## 270 Yvette Williams
## 271 Galina Zybina
## 272 Nina Romashkova
## 273 Dana Zátopková
## 274 Fanny Blankers-Koen
## 275 Fanny Blankers-Koen
## 276 Fanny Blankers-Koen
## 277 Netherlands (NED)Xenia
## 278 Alice Coachman
## 279 Olga Gyarmati
## 280 Micheline Ostermeyer
## 281 Micheline Ostermeyer
## 282 Herma Bauma
## 283 Helen Stephens
## 284 Trebisonda Valla
## 285 United States
## 286 Ibolya Csák
## 287 Gisela Mauermayer
## 288 Tilly Fleischer
## 289 Tori Bowie
## 290 Dafne Schippers
## 291 Allyson Felix
## 292 Francine Niyonsaba
## 293 Genzebe Dibaba
## 294 Hellen Onsando
## 295 Vivian Cheruiyot
## 296 NA
## 297 Nia Ali
## 298 Sara Petersen
## 299 Hyvin Jepkemoi
## 300 NA
## 301 Jamaica (JAM)Christania
## 302 Jamaica (JAM)Stephenie
## 303 NA
## 304 Eunice Kirwa
## 305 María Guadalupe
## 306 NA
## 307 Mirela Demireva
## 308 Sandi Morris
## 309 Britney Reese
## 310 Yulimar Rojas
## 311 Valerie Adams
## 312 Mélina Robert-Michon
## 313 Zhang Wenxiu
## 314 Sunette Viljoen
## 315 NA
## 316 Jessica Ennis-Hill
## 317 Carmelita Jeter
## 318 Shelly-Ann Fraser-Pryce
## 319 Christine Ohuruogu
## 320 Ekaterina Poistogova
## 321 Tatyana Tomashova
## 322 Vivian Cheruiyot
## 323 Sally Kipyego
## 324 NA
## 325 Dawn Harper
## 326 Lashinda Demus
## 327 Sofia Assefa
## 328 NA
## 329 Jamaica (JAM)Shelly-Ann
## 330 Jamaica (JAM)Christine
## 331 NA
## 332 Priscah Jeptoo
## 333 Qieyang Shenjie
## 334 NA
## 335 Brigetta Barrett
## 336 Yarisley Silva
## 337 Yelena Sokolova
## 338 Caterine Ibargüen
## 339 Gong Lijiao
## 340 Li Yanfeng
## 341 Betty Heidler
## 342 Christina Obergföll
## 343 NA
## 344 Lilli Schwarzkopf
## 345 Sherone Simpson
## 346 Allyson Felix
## 347 Shericka Williams
## 348 Janeth Jepkosgei
## 349 Iryna Lishchynska
## 350 Meseret Defar
## 351 Shalane Flanagan
## 352 Sally Pearson
## 353 Sheena Tosta
## 354 Eunice Jepkorir
## 355 NigeriaFranca IdokoGloria
## 356 JamaicaShericka WilliamsShereefa
## 357 Catherine Ndereba
## 358 Kjersti Tysse
## 359 Blanka Vlašić
## 360 Jennifer Stuczynski
## 361 Blessing Okagbare
## 362 Olga Rypakova
## 363 Misleydis González
## 364 Olena Antonova
## 365 Zhang Wenxiu
## 366 Christina Obergföll
## 367 Hyleas Fountain
## 368 Ekaterini Thanou
## 369 Tayna Lawrence
## 370 Susanthika Jayasinghe
## 371 Lorraine Graham
## 372 Stephanie Graf
## 373 Violeta Beclea
## 374 Sonia O'Sullivan
## 375 Gete Wami
## 376 Glory Alozie
## 377 Deon Hemmings
## 378 Jamaica (JAM)Tayna
## 379 Jamaica (JAM)Sandie
## 380 Lidia Șimon
## 381 Kjersti Plätzer
## 382 Hestrie Cloete
## 383 Hestrie Cloete
## 384 Tatiana Grigorieva
## 385 Fiona May
## 386 Tatyana Lebedeva
## 387 Larisa Peleshenko
## 388 Anastasía Kelesídou
## 389 Olga Kuzenkova
## 390 Mirela Maniani-Tzelili
## 391 Yelena Prokhorova
## 392 Merlene Ottey
## 393 Merlene Ottey
## 394 Cathy Freeman
## 395 Ana Fidelia
## 396 Gabriela Szabo
## 397 Pauline Konga
## 398 Wang Junxia
## 399 Brigita Bukovec
## 400 Kim Batten
## 401 Bahamas (BAH)Eldece
## 402 Nigeria (NGR)Olabisi
## 403 Valentina Yegorova
## 404 Elisabetta Perrone
## 405 Niki Bakoyianni
## 406 Fiona May
## 407 Inna Lasovskaya
## 408 Sui Xinmei
## 409 Natalya Sadova
## 410 Louise McPaul
## 411 Natallia Sazanovich
## 412 Juliet Cuthbert
## 413 Juliet Cuthbert
## 414 Olga Bryzgina
## 415 Liliya Nurutdinova
## 416 Lyudmila Rogachova
## 417 Tetyana Dorovskikh
## 418 Elana Meyer
## 419 LaVonna Martin
## 420 Sandra Farmer-Patrick
## 421 Unified Team
## 422 United States
## 423 Yuko Arimori
## 424 Yelena Nikolayeva
## 425 Galina Astafei
## 426 Inessa Kravets
## 427 Huang Zhihong
## 428 Tsvetanka Khristova
## 429 Natalya Shikolenko
## 430 Irina Belova
## 431 Evelyn Ashford
## 432 Grace Jackson
## 433 Petra Müller
## 434 Christine Wachtel
## 435 Laimutė Baikauskaitė
## 436 Paula Ivan
## 437 Liz McColgan
## 438 Gloria Siebert
## 439 Tatyana Ledovskaya
## 440 East Germany
## 441 United States
## 442 Lisa Martin-Ondieki
## 443 Stefka Kostadinova
## 444 Heike Drechsler
## 445 Kathrin Neimke
## 446 Diana Gansky
## 447 Fatima Whitbread
## 448 Sabine John
## 449 Alice Brown
## 450 Florence Griffith
## 451 Chandra Cheeseborough
## 452 Kim Gallagher
## 453 Doina Melinte
## 454 Wendy Smith-Sly
## 455 Shirley Strong
## 456 Shirley Strong
## 457 Judi Brown
## 458 Canada (CAN)Angela
## 459 Canada (CAN)Charmaine
## 460 Grete Waitz
## 461 Sara Simeoni
## 462 Vali Ionescu
## 463 Mihaela Loghin
## 464 Leslie Deniz
## 465 Tiina Lillak
## 466 Jackie Joyner
## 467 Marlies Göhr
## 468 Natalya Bochina
## 469 Jarmila Kratochvílová
## 470 Olga Mineeva
## 471 Christiane Wartenberg
## 472 Johanna Klier
## 473 Soviet Union
## 474 East Germany
## 475 Urszula Kielan
## 476 Brigitte Wujak
## 477 Svetlana Krachevskaia
## 478 Mariya Petkova
## 479 Saida Gunba
## 480 Olga Rukavishnikova
## 481 Renate Stecher
## 482 Annegret Richter
## 483 Christina Brehmer
## 484 Nikolina Shtereva
## 485 Gunhild Hoffmeister
## 486 Tatiana Anisimova
## 487 West Germany
## 488 United States
## 489 Sara Simeoni
## 490 Kathy McMillan
## 491 Nadezhda Chizhova
## 492 Mariya Vergova
## 493 Marion Becker
## 494 Christine Laser
## 495 Raelene Boyle
## 496 Raelene Boyle
## 497 Rita Wilden
## 498 Nijolė Sabaitė
## 499 Gunhild Hoffmeister
## 500 Valeria Bufanu
## 501 East Germany
## 502 United States
## 503 Yordanka Blagoeva
## 504 Diana Yorgova
## 505 Margitta Gummel
## 506 Argentina Menis
## 507 Jacqueline Todten
## 508 Heide Rosendahl
## 509 Barbara Ferrell
## 510 Raelene Boyle
## 511 Lillian Board
## 512 Ilona Silai
## 513 Pam Kilborn
## 514 Cuba (CUB)Violetta
## 515 Antonina Okorokova
## 516 Sheila Sherwood
## 517 Marita Lange
## 518 Liesel Westermann
## 519 Mihaela Peneş
## 520 Liese Prokop
## 521 Edith McGuire
## 522 Irena Kirszenstein
## 523 Ann Packer
## 524 Maryvonne Dupureur
## 525 Teresa Ciepły
## 526 United States
## 527 Michele Brown
## 528 Irena Kirszenstein
## 529 Renate Culmberger
## 530 Ingrid Lotz
## 531 Márta Rudas
## 532 Mary Rand
## 533 Dorothy Hyman
## 534 Jutta Heine
## 535 Brenda Jones
## 536 Carole Quinton
## 537 United Team
## 538 Jarosława Jóźwiakowska
## 539 Dorothy Shirley
## 540 Elżbieta Krzesińska
## 541 Johanna Lüttge
## 542 Tamara Press
## 543 Dana Zátopková
## 544 Christa Stubnick
## 545 Christa Stubnick
## 546 Gisela Köhler
## 547 Great Britain
## 548 Thelma Hopkins
## 549 Willye White
## 550 Galina Zybina
## 551 Irina Beglyakova
## 552 Marlene Ahrens
## 553 Daphne Hasenjager
## 554 Bertha Brouwer
## 555 Mariya Golubnichaya
## 556 Germany (GER)Ursula
## 557 Sheila Lerwill
## 558 Aleksandra Chudina
## 559 Marianne Werner
## 560 Elizaveta Bagryantseva
## 561 Aleksandra Chudina
## 562 Dorothy Manley
## 563 Audrey Williamson
## 564 Maureen Gardner
## 565 Australia (AUS)Shirley
## 566 Dorothy Tyler
## 567 Noemí Simonetto
## 568 Amelia Piccinini
## 569 Edera Cordiale
## 570 Kaisa Parviainen
## 571 Stanisława Walasiewicz
## 572 Anni Steuer
## 573 Great Britain
## 574 Dorothy Odam
## 575 Jadwiga Wajs
## 576 Luise Krüger
## 577 Shelly-Ann Fraser-Pryce
## 578 Tori Bowie
## 579 Shericka Jackson
## 580 Margaret Wambui
## 581 Jennifer Simpson
## 582 Almaz Ayana
## 583 Tirunesh Dibaba
## 584 NA
## 585 Kristi Castlin
## 586 Ashley Spencer
## 587 Emma Coburn
## 588 NA
## 589 Great Britain
## 590 Great Britain
## 591 NA
## 592 Mare Dibaba
## 593 Lü Xiuzhi
## 594 NA
## 595 Blanka Vlašić
## 596 Eliza McCartney
## 597 Ivana Španović
## 598 Olga Rypakova
## 599 Anita Márton
## 600 Denia Caballero
## 601 Sophie Hitchon
## 602 Barbora Špotáková
## 603 NA
## 604 Brianne Theisen-Eaton
## 605 Veronica Campbell-Brown
## 606 Carmelita Jeter
## 607 DeeDee Trotter
## 608 Pamela Jelimo
## 609 Abeba Aregawi
## 610 Tirunesh Dibaba
## 611 Vivian Cheruiyot
## 612 NA
## 613 Kellie Wells
## 614 Zuzana Hejnová
## 615 Milcah Chemos
## 616 NA
## 617 Ukraine (UKR)Olesya
## 618 Ukraine (UKR)Alina
## 619 NA
## 620 Tatyana Arkhipova
## 621 Liu Hong
## 622 NA
## 623 Ruth Beitia
## 624 Yelena Isinbayeva
## 625 Janay DeLoach
## 626 Olha Saladukha
## 627 Li Ling
## 628 Yarelys Barrios
## 629 Zhang Wenxiu
## 630 Linda Stahl
## 631 NA
## 632 Austra Skujytė
## 633 Not awardedas
## 634 Kerron Stewart
## 635 Sanya Richards
## 636 Hasna Benhassi
## 637 Nataliya Tobias
## 638 Sylvia Kibet
## 639 Linet Chepkwemoi
## 640 Priscilla Lopes-Schliep
## 641 Tasha Danvers
## 642 Tatyana Petrova
## 643 BrazilRosemar Coelho
## 644 Great BritainChristine
## 645 Zhou Chunxiu
## 646 Elisa Rigaudo
## 647 Chaunté Howard
## 648 Svetlana Feofanova
## 649 Chelsea Hammond
## 650 Yargelis Savigne
## 651 Gong Lijiao
## 652 Song Aimin
## 653 Manuela Montebrun
## 654 Goldie Sayers
## 655 Kelly Sotherton
## 656 Merlene Ottey
## 657 Merlene Ottey
## 658 Beverly McDonald
## 659 Katharine Merry
## 660 Kelly Holmes
## 661 Gabriela Szabo
## 662 Gete Wami
## 663 Fernanda Ribeiro
## 664 Melissa Morrison
## 665 Nezha Bidouane
## 666 United States
## 667 Russia (RUS)Yuliya
## 668 Joyce Chepchumba
## 669 María Vasco
## 670 Kajsa Bergqvist
## 671 Oana Pantelimon[4]
## 672 Vala Flosadóttir
## 673 Tatyana Kotova
## 674 Olena Hovorova
## 675 Astrid Kumbernuss
## 676 Iryna Yatchenko
## 677 Kirsten Münchow
## 678 Osleidys Menéndez
## 679 Natallia Sazanovich
## 680 Gwen Torrence
## 681 Mary Onyali
## 682 Falilat Ogunkoya
## 683 Maria de
## 684 Theresia Kiesl
## 685 Roberta Brunet
## 686 Gete Wami
## 687 Patricia Girard
## 688 Tonja Buford-Bailey
## 689 Jamaica (JAM)Michelle
## 690 Germany (GER)Uta
## 691 Yuko Arimori
## 692 Wang Yan
## 693 Inha Babakova
## 694 Jackie Joyner-Kersee
## 695 Šárka Kašpárková
## 696 Irina Khudoroshkina
## 697 Ellina Zvereva
## 698 Trine Hattestad
## 699 Denise Lewis
## 700 Irina Privalova
## 701 Merlene Ottey
## 702 Ximena Restrepo
## 703 Ana Fidelia
## 704 Qu Yunxia
## 705 Angela Chalmers
## 706 Lynn Jennings
## 707 Yordanka Donkova
## 708 Janeene Vickers
## 709 Nigeria (NGR)Beatrice
## 710 Great Britain
## 711 Lorraine Moller
## 712 Li Chunxiu
## 713 Joanet Quintero
## 714 Jackie Joyner-Kersee
## 715 Kathrin Neimke
## 716 Daniela Costian
## 717 Karen Forkel
## 718 Sabine Braun
## 719 Heike Drechsler
## 720 Heike Drechsler
## 721 Olga Nazarova
## 722 Kim Gallagher
## 723 Tetyana Samolenko
## 724 Yvonne Murray
## 725 Yelena Zhupiyeva
## 726 Claudia Zackiewicz
## 727 Ellen Fiedler
## 728 Soviet Union
## 729 East Germany
## 730 Katrin Dörre
## 731 Tamara Bykova
## 732 Galina Chistyakova
## 733 Li Meisu
## 734 Tsvetanka Khristova
## 735 Beate Koch
## 736 Anke Behmer
## 737 Merlene Ottey
## 738 Merlene Ottey
## 739 Kathy Smallwood-Cook
## 740 Fiţa Lovin
## 741 Maricica Puică
## 742 Lynn Williams
## 743 Michèle Chardonnet
## 744 Kim Turner
## 745 Cristieana Cojocaru
## 746 Great Britain
## 747 West Germany
## 748 Rosa Mota
## 749 Joni Huntley
## 750 Susan Hearnshaw
## 751 Gael Martin
## 752 Florenţa Crăciunescu
## 753 Fatima Whitbread
## 754 Sabine Everts
## 755 Ingrid Auerswald
## 756 Merlene Ottey
## 757 Christina Lathan
## 758 Tatyana Providokhina
## 759 Nadiya Olizarenko
## 760 Lucyna Langer
## 761 Great Britain
## 762 Great Britain
## 763 Jutta Kirst
## 764 Tatyana Skachko
## 765 Margitta Droese-Pufe
## 766 Tatyana Lesovaya
## 767 Ute Hommola
## 768 Olga Kuragina
## 769 Inge Helten
## 770 Renate Stecher
## 771 Ellen Streidt
## 772 Elfi Zinn
## 773 Ulrike Klapezynski
## 774 Natalya Lebedeva
## 775 Soviet Union
## 776 Soviet Union
## 777 Yordanka Blagoeva
## 778 Lidiya Alfeyeva
## 779 Helena Fibingerová
## 780 Gabriele Hinzmann
## 781 Kate Schmidt
## 782 Burglinde Pollak
## 783 Silvia Chibás
## 784 Irena Szewińska
## 785 Kathy Hammond
## 786 Gunhild Hoffmeister
## 787 Paola Pigni
## 788 Karin Balzer
## 789 Cuba (CUB)Marlene
## 790 West Germany
## 791 Ilona Gusenbauer
## 792 Eva Šuranová
## 793 Ivanka Khristova
## 794 Vasilka Stoeva
## 795 Kate Schmidt
## 796 Burglinde Pollak
## 797 Irena Szewińska
## 798 Jenny Lamy
## 799 Natalya Pechonkina
## 800 Maria Gommers
## 801 Chi Cheng
## 802 Soviet Union
## 803 Valentina Kozyr
## 804 Tatyana Talysheva
## 805 Nadezhda Chizhova
## 806 Jolán Kleiber-Kontsek
## 807 Eva Janko
## 808 Annamária Tóth
## 809 Ewa Kłobukowska
## 810 Marilyn Black
## 811 Judy Amoore
## 812 Marise Chamberlain
## 813 Pam Kilborn
## 814 Great Britain
## 815 Taisia Chenchik
## 816 Tatyana Schelkanova
## 817 Galina Zybina
## 818 Lia Manoliu
## 819 Yelena Gorchakova
## 820 Galina Bystrova
## 821 Giuseppina Leone
## 822 Dorothy Hyman
## 823 Ursula Donath
## 824 Gisela Birkemeyer
## 825 Poland (POL)Teresa
## 826 none awarded
## 827 none awarded
## 828 Hildrun Claus
## 829 Earlene Brown
## 830 Lia Manoliu
## 831 Birutė Kalėdienė
## 832 Marlene Matthews
## 833 Marlene Matthews
## 834 Norma Thrower
## 835 United States
## 836 none awarded
## 837 Nadezhda Dvalishvili
## 838 Marianne Werner
## 839 Nina Ponomaryova
## 840 Nadezhda Konyayeva
## 841 Shirley Strickland
## 842 Nadezhda Khnykina-Dvalishvili
## 843 Maria Sander
## 844 Great Britain
## 845 Aleksandra Chudina
## 846 Shirley Cawley
## 847 Klavdia Tochonova
## 848 Nina Dumbadze
## 849 Yelena Gorchakova
## 850 Shirley Strickland
## 851 Audrey Patterson
## 852 Shirley Strickland
## 853 Canada (CAN)Viola
## 854 Micheline Ostermeyer
## 855 Ann-Britt Leyman
## 856 Ine Schäffer
## 857 Jacqueline Mazeas
## 858 Lily Carlstedt
## 859 Käthe Krauß
## 860 Betty Taylor
## 861 Canada (CAN)Dorothy
## 862 Elfriede Kaun
## 863 Paula Mollenhauer
## 864 Maria Kwaśniewska
## Athlete.Country
## 1 Jamaica
## 2 Jamaica
## 3 Bahamas
## 4 South Africa
## 5 Kenya
## 6 Kenya
## 7 Ethiopia
## 8 <NA>
## 9 United States
## 10 United States
## 11 Bahrain
## 12 <NA>
## 13 (USA)Tianna BartolettaAllyson FelixEnglish GardnerTori BowieMorolake Akinosun*
## 14 (USA)Courtney OkoloNatasha HastingsPhyllis FrancisAllyson FelixTaylor Ellis-Watson*Francena McCorory*
## 15 <NA>
## 16 Kenya
## 17 China
## 18 <NA>
## 19 Spain
## 20 Greece
## 21 United States
## 22 Colombia
## 23 United States
## 24 Croatia
## 25 Poland
## 26 Croatia
## 27 <NA>
## 28 Belgium
## 29 Jamaica
## 30 United States
## 31 United States
## 32 South Africa
## 33 Jamal Bahrain
## 34 Ethiopia
## 35 Ethiopia
## 36 <NA>
## 37 Australia
## 38 Russia
## 39 Tunisia
## 40 <NA>
## 41 (USA)Tianna MadisonAllyson FelixBianca KnightCarmelita JeterJeneba Tarmoh*Lauryn Williams*
## 42 (USA)DeeDee TrotterAllyson FelixFrancena McCororySanya Richards-RossKeshia Baker*Diamond Dixon*
## 43 <NA>
## 44 Ethiopia
## 45 Russia
## 46 <NA>
## 47 Russia
## 48 United States
## 49 United States
## 50 Kazakhstan
## 51 New Zealand
## 52 Croatia
## 53 Poland
## 54 Czech Republic
## 55 <NA>
## 56 Great Britain
## 57 Jamaica
## 58 Jamaica
## 59 Great Britain
## 60 Kenya
## 61 Lagat Kenya
## 62 Ethiopia
## 63 Ethiopia
## 64 United States
## 65 Jamaica
## 66 Russia
## 67 MariënÉlodie OuédraogoKim Gevaert
## 68 WinebergAllyson FelixMonique HendersonSanya RichardsNatasha Hastings*
## 69 Romania
## 70 Russia
## 71 Belgium
## 72 Russia
## 73 Brazil
## 74 Etone Cameroon
## 75 New Zealand
## 76 Trafton United States
## 77 Cuba
## 78 Czech Republic
## 79 Ukraine
## 80 <NA>
## 81 <NA>
## 82 Bahamas
## 83 Australia
## 84 Lurdes Mutola Mozambique
## 85 Algeria
## 86 Romania
## 87 Ethiopia
## 88 Kazakhstan
## 89 Russia
## 90 FynesChandra SturrupPauline Davis-ThompsonDebbie FergusonEldece Lewis*
## 91 (USA)Jearl Miles-ClarkMonique HennaganLaTasha ColanderAndrea Anderson*[3]
## 92 Japan
## 93 China
## 94 Russia
## 95 Russia
## 96 United States
## 97 Germany
## 98 Bulgaria
## 99 Belarus
## 100 Belarus
## 101 Poland
## 102 Norway
## 103 Great Britain
## 104 United States
## 105 France
## 106 France
## 107 Russia
## 108 Russia
## 109 China
## 110 Portugal
## 111 Sweden
## 112 Jamaica
## 113 (USA)Chryste GainesGail DeversInger MillerGwen TorrenceCarlette Guidry*
## 114 (USA)Rochelle StevensMaicel Malone-WallaceKim GrahamJearl MilesLinetta Wilson*
## 115 Ethiopia
## 116 Russia
## 117 Bulgaria
## 118 Nigeria
## 119 Ukraine
## 120 Germany
## 121 Germany
## 122 Finland
## 123 Syria
## 124 United States
## 125 United States
## 126 France
## 127 Langen Netherlands
## 128 Algeria
## 129 Unified Team( Russia)
## 130 Ethiopia
## 131 Greece
## 132 Great Britain
## 133 (USA)Evelyn AshfordEsther JonesCarlette GuidryGwen TorrenceMichelle Finn*
## 134 (EUN)Yelena RuzinaLyudmila DzhigalovaOlga NazarovaOlga BryzginaLiliya Nurutdinova*Marina Shmonina*
## 135 Unified Team( Russia)
## 136 China
## 137 Germany
## 138 Germany
## 139 Unified Team( Russia)
## 140 Cuba
## 141 Germany
## 142 United States
## 143 Joyner United States
## 144 Joyner United States
## 145 Soviet Union
## 146 East Germany
## 147 Romania
## 148 Soviet Union
## 149 Soviet Union
## 150 Bulgaria
## 151 Australia
## 152 (USA)Alice BrownSheila EcholsFlorence Griffith JoynerEvelyn AshfordDannette Young*
## 153 (URS)Tatyana LedovskayaOlga NazarovaMariya PiniginaOlha BryzhinaLyudmyla Dzhyhalova*
## 154 Portugal
## 155 United States
## 156 United States
## 157 Soviet Union
## 158 East Germany
## 159 East Germany
## 160 United States
## 161 United States
## 162 United States
## 163 United States
## 164 Romania
## 165 Italy
## 166 Romania
## 167 United States
## 168 United States
## 169 Moutawakel Morocco
## 170 (USA)Alice BrownJeanette BoldenChandra CheeseboroughEvelyn Ashford
## 171 (USA)Lillie LeatherwoodSherri HowardValerie Brisco-HooksChandra CheeseboroughDiane Dixon*Denean Howard*
## 172 United States
## 173 West Germany
## 174 Romania
## 175 West Germany
## 176 Netherlands
## 177 Great Britain
## 178 Australia
## 179 Soviet Union
## 180 East Germany
## 181 East Germany
## 182 Soviet Union
## 183 Soviet Union
## 184 Soviet Union
## 185 (GDR)Romy MüllerBärbel WöckelIngrid AuerswaldMarlies Göhr
## 186 (URS)Tatyana ProrochenkoTatyana GoyshchikNina ZiuskovaIrina Nazarova
## 187 Italy
## 188 Soviet Union
## 189 East Germany
## 190 East Germany
## 191 Colón Cuba
## 192 Soviet Union
## 193 West Germany
## 194 East Germany
## 195 Poland
## 196 Soviet Union
## 197 Soviet Union
## 198 East Germany
## 199 (GDR)Marlies OelsnerRenate StecherCarla BodendorfBärbel Eckert
## 200 (GDR)Doris MaletzkiBrigitte RohdeEllen StreidtChristina Brehmer
## 201 East Germany
## 202 East Germany
## 203 Bulgaria
## 204 East Germany
## 205 East Germany
## 206 East Germany
## 207 East Germany
## 208 East Germany
## 209 East Germany
## 210 West Germany
## 211 Soviet Union
## 212 East Germany
## 213 (FRG)Christiane KrauseIngrid BeckerAnnegret RichterHeide Rosendahl
## 214 (GDR)Dagmar KäslingRita KühneHelga SeidlerMonika Zehrt
## 215 West Germany
## 216 West Germany
## 217 Soviet Union
## 218 Soviet Union
## 219 East Germany
## 220 Great Britain
## 221 United States
## 222 Poland
## 223 France
## 224 United States
## 225 Australia
## 226 (USA)Margaret BailesBarbara FerrellMildrette NetterWyomia Tyus
## 227 Czechoslovakia
## 228 Romania
## 229 East Germany
## 230 Romania
## 231 Hungary
## 232 West Germany
## 233 United States
## 234 United States
## 235 Australia
## 236 Great Britain
## 237 United Team of Germany
## 238 CiepłyIrena KirszensteinHalina GóreckaEwa Kłobukowska
## 239 Romania
## 240 Great Britain
## 241 Soviet Union
## 242 Soviet Union
## 243 Romania
## 244 Soviet Union
## 245 United States
## 246 United States
## 247 Soviet Union
## 248 Soviet Union
## 249 (USA)Martha HudsonLucinda WilliamsBarbara JonesWilma Rudolph
## 250 Romania
## 251 Romania
## 252 Soviet Union
## 253 Soviet Union
## 254 Soviet Union
## 255 Soviet Union
## 256 Australia
## 257 Australia
## 258 de la Hunty Australia
## 259 CrokerBetty CuthbertFleur MellorShirley Strickland de la Hunty
## 260 United States
## 261 Poland
## 262 Soviet Union
## 263 Czechoslovakia
## 264 Soviet Union
## 265 Australia
## 266 Australia
## 267 de la Hunty Australia
## 268 (USA)Mae FaggsBarbara JonesJanet MoreauCatherine Hardy
## 269 South Africa
## 270 New Zealand
## 271 Soviet Union
## 272 Soviet Union
## 273 Czechoslovakia
## 274 Netherlands
## 275 Netherlands
## 276 Netherlands
## 277 Stad-de JongNetty Witziers-TimmerGerda van der Kade-KoudijsFanny Blankers-Koen
## 278 United States
## 279 Hungary
## 280 France
## 281 France
## 282 Austria
## 283 United States
## 284 Italy
## 285 (USA)Harriet BlandAnnette RogersBetty RobinsonHelen Stephens
## 286 Hungary
## 287 Germany
## 288 Germany
## 289 United States
## 290 Netherlands
## 291 United States
## 292 Burundi
## 293 Ethiopia
## 294 Obiri Kenya
## 295 Kenya
## 296 <NA>
## 297 United States
## 298 Denmark
## 299 Kenya
## 300 <NA>
## 301 WilliamsElaine ThompsonVeronica Campbell-BrownShelly-Ann Fraser-PryceSimone Facey*Sashalee Forbes*
## 302 Ann McPhersonAnneisha McLaughlin-WhilbyShericka JacksonNovlene Williams-MillsChristine Day*Chrisann Gordon*
## 303 <NA>
## 304 Bahrain
## 305 González Mexico
## 306 <NA>
## 307 Bulgaria
## 308 United States
## 309 United States
## 310 Venezuela
## 311 New Zealand
## 312 France
## 313 China
## 314 South Africa
## 315 <NA>
## 316 Great Britain
## 317 United States
## 318 Jamaica
## 319 Great Britain
## 320 Russia
## 321 Russia
## 322 Kenya
## 323 Kenya
## 324 <NA>
## 325 United States
## 326 United States
## 327 Ethiopia
## 328 <NA>
## 329 Fraser-PryceSherone SimpsonVeronica Campbell-BrownKerron StewartSamantha Henry-Robinson*Schillonie Calvert*
## 330 DayRosemarie WhyteShericka WilliamsNovlene Williams-MillsShereefa Lloyd*
## 331 <NA>
## 332 Kenya
## 333 China
## 334 <NA>
## 335 United States
## 336 Cuba
## 337 Russia
## 338 Colombia
## 339 China
## 340 China
## 341 Germany
## 342 Germany
## 343 <NA>
## 344 Germany
## 345 Jamaica Kerron Stewart Jamaica
## 346 United States
## 347 Jamaica
## 348 Busienei Kenya
## 349 Ukraine
## 350 Ethiopia
## 351 United States
## 352 Australia
## 353 United States
## 354 Kenya
## 355 KemasuodeHalimat IsmailaOludamola OsayomiAgnes Osazuwa*
## 356 LloydRosemarie WhyteNovelene WilliamsBobby-Gaye Wilkins*
## 357 Kenya
## 358 Plätzer Norway
## 359 Croatia
## 360 United States
## 361 Nigeria
## 362 Kazakhstan
## 363 Cuba
## 364 Ukraine
## 365 China
## 366 Germany
## 367 United States
## 368 Greece
## 369 Jamaica
## 370 Sri Lanka
## 371 Jamaica
## 372 Austria
## 373 Romania
## 374 Ireland
## 375 Ethiopia
## 376 Nigeria
## 377 Jamaica
## 378 LawrenceVeronica CampbellBeverly McDonaldMerlene OtteyMerlene Frazer*
## 379 RichardsCatherine ScottDeon HemmingsLorraine GrahamCharmaine Howell*Michelle Burgher*
## 380 Romania
## 381 Norway
## 382 South Africa
## 383 South Africa
## 384 Australia
## 385 Italy
## 386 Russia
## 387 Russia
## 388 Greece
## 389 Russia
## 390 Greece
## 391 Russia
## 392 Jamaica
## 393 Jamaica
## 394 Australia
## 395 Quirot Cuba
## 396 Romania
## 397 Kenya
## 398 China
## 399 Slovenia
## 400 United States
## 401 ClarkeChandra SturrupSavatheda FynesPauline Davis-ThompsonDebbie Ferguson*
## 402 AfolabiFatima YusufCharity OparaFalilat Ogunkoya
## 403 Russia
## 404 Italy
## 405 Greece
## 406 Italy
## 407 Russia
## 408 China
## 409 Russia
## 410 Australia
## 411 Belarus
## 412 Jamaica
## 413 Jamaica
## 414 Unified Team( Ukraine)
## 415 Unified Team( Russia)
## 416 Unified Team( Russia)
## 417 Unified Team( Ukraine)
## 418 South Africa
## 419 United States
## 420 United States
## 421 (EUN)Olga BogoslovskayaGalina MalchuginaMarina TrandenkovaIrina Privalova
## 422 (USA)Natasha KaiserGwen TorrenceJearl MilesRochelle StevensDenean Hill*Dannette Young*
## 423 Japan
## 424 Unified Team( Russia)
## 425 Romania
## 426 Unified Team( Ukraine)
## 427 China
## 428 Bulgaria
## 429 Unified Team( Belarus)
## 430 Unified Team( Russia)
## 431 United States
## 432 Jamaica
## 433 East Germany
## 434 East Germany
## 435 Soviet Union
## 436 Romania
## 437 Great Britain
## 438 East Germany
## 439 Soviet Union
## 440 (GDR)Silke Gladisch-MöllerKerstin BehrendtIngrid LangeMarlies Oelsner-Gohr
## 441 (USA)Denean HowardDiane DixonValerie Brisco-HooksFlorence Griffith JoynerSherri Howard*Lillie Leatherwood*
## 442 Australia
## 443 Bulgaria
## 444 East Germany
## 445 East Germany
## 446 East Germany
## 447 Great Britain
## 448 East Germany
## 449 United States
## 450 United States
## 451 United States
## 452 United States
## 453 Romania
## 454 Great Britain
## 455 Great Britain
## 456 Great Britain
## 457 United States
## 458 BaileyMarita PayneAngella Taylor-IssajenkoFrance Gareau
## 459 CrooksJillian RichardsonMolly KillingbeckMarita PayneDana Wright*
## 460 Norway
## 461 Italy
## 462 Romania
## 463 Romania
## 464 United States
## 465 Finland
## 466 United States
## 467 East Germany
## 468 Soviet Union
## 469 Czechoslovakia
## 470 Soviet Union
## 471 East Germany
## 472 East Germany
## 473 (URS)Vera KomisovaLyudmila MaslakovaVera AnisimovaNatalya Bochina
## 474 (GDR)Barbara KrugGabriele LöweChristina LathanMarita Koch
## 475 Poland
## 476 East Germany
## 477 Soviet Union
## 478 Bulgaria
## 479 Soviet Union
## 480 Soviet Union
## 481 East Germany
## 482 West Germany
## 483 East Germany
## 484 Bulgaria
## 485 East Germany
## 486 Soviet Union
## 487 (FRG)Elvira PossekelInge HeltenAnnegret RichterAnnegret Kroniger
## 488 (USA)Debra SapenterSheila IngramPamela JilesRosalyn Bryant
## 489 Italy
## 490 United States
## 491 Soviet Union
## 492 Bulgaria
## 493 West Germany
## 494 East Germany
## 495 Australia
## 496 Australia
## 497 West Germany
## 498 Soviet Union
## 499 East Germany
## 500 Romania
## 501 (GDR)Evelin KauferChristina HeinichBärbel StruppertRenate Stecher
## 502 (USA)Mable FergersonMadeline ManningCheryl ToussaintKathy Hammond
## 503 Bulgaria
## 504 Bulgaria
## 505 East Germany
## 506 Romania
## 507 East Germany
## 508 West Germany
## 509 United States
## 510 Australia
## 511 Great Britain
## 512 Romania
## 513 Australia
## 514 QuesadaMiguelina CobiánMarlene ElejardeFulgencia Romay
## 515 Soviet Union
## 516 Great Britain
## 517 East Germany
## 518 West Germany
## 519 Romania
## 520 Austria
## 521 United States
## 522 Poland
## 523 Great Britain
## 524 France
## 525 Poland
## 526 (USA)Willye WhiteWyomia TyusMarilyn WhiteEdith McGuire
## 527 Australia
## 528 Poland
## 529 United Team of Germany
## 530 United Team of Germany
## 531 Hungary
## 532 Great Britain
## 533 Great Britain
## 534 United Team of Germany
## 535 Australia
## 536 Great Britain
## 537 of Germany (EUA)Martha LangbeinAnni BiechlBrunhilde HendrixJutta Heine
## 538 Poland
## 539 Great Britain
## 540 Poland
## 541 United Team of Germany
## 542 Soviet Union
## 543 Czechoslovakia
## 544 United Team of Germany
## 545 United Team of Germany
## 546 United Team of Germany
## 547 (GBR)Heather ArmitageAnne PashleyJune PaulJean Scrivens
## 548 Great BritainMariya Pisareva Soviet Union
## 549 United States
## 550 Soviet Union
## 551 Soviet Union
## 552 Chile
## 553 South Africa
## 554 Netherlands
## 555 Soviet Union
## 556 KnabMaria SanderHelga KleinMarga Petersen
## 557 Great Britain
## 558 Soviet Union
## 559 Germany
## 560 Soviet Union
## 561 Soviet Union
## 562 Great Britain
## 563 Great Britain
## 564 Great Britain
## 565 StricklandJune MastonBetty McKinnonJoyce King
## 566 Great Britain
## 567 Argentina
## 568 Italy
## 569 Italy
## 570 Finland
## 571 Poland
## 572 Germany
## 573 (GBR)Eileen HiscockViolet OlneyAudrey BrownBarbara Burke
## 574 Great Britain
## 575 Poland
## 576 Germany
## 577 Jamaica
## 578 United States
## 579 Jamaica
## 580 Kenya
## 581 United States
## 582 Ethiopia
## 583 Ethiopia
## 584 <NA>
## 585 United States
## 586 United States
## 587 United States
## 588 <NA>
## 589 (GBR)Asha PhilipDesiree HenryDina Asher-SmithDaryll Neita
## 590 (GBR)Eilidh DoyleAnyika OnuoraEmily DiamondChristine OhuruoguKelly Massey*
## 591 <NA>
## 592 Ethiopia
## 593 China
## 594 <NA>
## 595 Croatia
## 596 New Zealand
## 597 Serbia
## 598 Kazakhstan
## 599 Hungary
## 600 Cuba
## 601 Great Britain
## 602 Czech Republic
## 603 <NA>
## 604 Canada
## 605 Jamaica
## 606 United States
## 607 United States
## 608 Kenya
## 609 Ethiopia
## 610 Ethiopia
## 611 Kenya
## 612 <NA>
## 613 United States
## 614 Czech Republic
## 615 Cheywa Kenya
## 616 <NA>
## 617 PovhHrystyna StuyMariya RyemyenElyzaveta Bryzgina
## 618 LohvynenkoOlha ZemlyakHanna YaroshchukNataliya Pyhyda
## 619 <NA>
## 620 Russia
## 621 China
## 622 <NA>
## 623 Spain
## 624 Russia
## 625 United States
## 626 Ukraine
## 627 China
## 628 Cuba
## 629 China
## 630 Germany
## 631 <NA>
## 632 Lithuania
## 633 there was a tie for silver.
## 634 Jamaica
## 635 United States
## 636 Morocco
## 637 Ukraine
## 638 Kenya
## 639 Masai Kenya
## 640 Canada
## 641 Great Britain
## 642 Arkhipova Russia
## 643 NetoLucimar de MouraThaissa PrestiRosângela Santos
## 644 OhuruoguKelly SothertonMarilyn OkoroNicola Sanders
## 645 China
## 646 Italy
## 647 United States
## 648 Russia
## 649 Jamaica
## 650 Cuba
## 651 China
## 652 China
## 653 France
## 654 Great Britain
## 655 Great Britain
## 656 Jamaica
## 657 Jamaica
## 658 Jamaica
## 659 Great Britain
## 660 Great Britain
## 661 Romania
## 662 Ethiopia
## 663 Portugal
## 664 United States
## 665 Morocco
## 666 (USA)Chryste GainesTorri EdwardsNanceen PerryPassion Richardson*[3]
## 667 SotnikovaSvetlana GoncharenkoOlga KotlyarovaIrina PrivalovaNatalya Nazarova*Olesya Zykina*
## 668 Kenya
## 669 Spain
## 670 Sweden
## 671 Romania
## 672 Iceland
## 673 Russia
## 674 Ukraine
## 675 Germany
## 676 Belarus
## 677 Germany
## 678 Cuba
## 679 Belarus
## 680 United States
## 681 Nigeria
## 682 Nigeria
## 683 Lurdes Mutola Mozambique
## 684 Austria
## 685 Italy
## 686 Ethiopia
## 687 France
## 688 United States
## 689 FreemanJuliet CuthbertNikole MitchellMerlene OtteyGillian Russell*Andria Lloyd*
## 690 RohländerLinda KisabakaAnja RückerGrit Breuer
## 691 Japan
## 692 China
## 693 Ukraine
## 694 United States
## 695 Czech Republic
## 696 Russia
## 697 Belarus
## 698 Norway
## 699 Great Britain
## 700 Unified Team( Russia)
## 701 Jamaica
## 702 Colombia
## 703 Quirot Cuba
## 704 China
## 705 Canada
## 706 United States
## 707 Bulgaria
## 708 United States
## 709 UtonduFaith IdehenChristy Opara-ThompsonMary Onyali
## 710 (GBR)Phylis SmithSandra DouglasJennifer StouteSally Gunnell
## 711 New Zealand
## 712 China
## 713 Cuba
## 714 United States
## 715 Germany
## 716 Australia
## 717 Germany
## 718 Germany
## 719 East Germany
## 720 East Germany
## 721 Soviet Union
## 722 United States
## 723 Soviet Union
## 724 Great Britain
## 725 Soviet Union
## 726 West Germany
## 727 East Germany
## 728 (URS)Lyudmila KondratyevaGalina MalchuginaMarina ZhirovaNatalya PomoshchnikovaMaia Azarashvili*
## 729 (GDR)Dagmar NeubauerKirsten EmmelmannSabine BuschPetra MullerGrit Breuer*
## 730 East Germany
## 731 Soviet Union
## 732 Soviet Union
## 733 China
## 734 Bulgaria
## 735 East Germany
## 736 East Germany
## 737 Jamaica
## 738 Jamaica
## 739 Great Britain
## 740 Romania
## 741 Romania
## 742 Canada
## 743 France
## 744 United States
## 745 Romania
## 746 (GBR)Simmone JacobsKathy Smallwood-CookBeverley GoddardHeather Hunte
## 747 (FRG)Heike Schulte-MattlerUte ThimmHeide-Elke GaugelGaby BußmannNicole Leistenschneider*Christina Sussiek*
## 748 Portugal
## 749 United States
## 750 Great Britain
## 751 Australia
## 752 Romania
## 753 Great Britain
## 754 West Germany
## 755 East Germany
## 756 Jamaica
## 757 East Germany
## 758 Soviet Union
## 759 Soviet Union
## 760 Poland
## 761 (GBR)Heather HunteKathy SmallwoodBeverley GoddardSonia Lannaman
## 762 (GBR)Linsey MacDonaldMichelle ProbertJoslyn Hoyte-SmithDonna Hartley
## 763 East Germany
## 764 Soviet Union
## 765 East Germany
## 766 Soviet Union
## 767 East Germany
## 768 Soviet Union
## 769 West Germany
## 770 East Germany
## 771 East Germany
## 772 East Germany
## 773 East Germany
## 774 Soviet Union
## 775 (URS)Tetyana ProrochenkoLyudmila MaslakovaNadezhda BesfamilnayaVera Anisimova
## 776 (URS)Inta KļimovičaLyudmila AksyonovaNatalya SokolovaNadezhda Ilyina
## 777 Bulgaria
## 778 Soviet Union
## 779 Czechoslovakia
## 780 East Germany
## 781 United States
## 782 East Germany
## 783 Cuba
## 784 Poland
## 785 United States
## 786 East Germany
## 787 Italy
## 788 East Germany
## 789 ElejardeCarmen ValdésFulgencia RomaySilvia Chibás
## 790 (FRG)Anette RückesInge BöddingHildegard FalckRita Wilden
## 791 Austria
## 792 Czechoslovakia
## 793 Bulgaria
## 794 Bulgaria
## 795 United States
## 796 East Germany
## 797 Poland
## 798 Australia
## 799 Soviet Union
## 800 Netherlands
## 801 Taiwan
## 802 (URS)Galina BukharinaLyudmila SamotyosovaVera PopkovaLyudmila Zharkova
## 803 Soviet Union
## 804 Soviet Union
## 805 Soviet Union
## 806 Hungary
## 807 Austria
## 808 Hungary
## 809 Poland
## 810 Australia
## 811 Australia
## 812 New Zealand
## 813 Australia
## 814 (GBR)Janet SimpsonMary RandDaphne ArdenDorothy Hyman
## 815 Soviet Union
## 816 Soviet Union
## 817 Soviet Union
## 818 Romania
## 819 Soviet Union
## 820 Soviet Union
## 821 Italy
## 822 Great Britain
## 823 United Team of Germany
## 824 United Team of Germany
## 825 WieczorekBarbara JaniszewskaCelina JesionowskaHalina Richter
## 826 as there was a tie for silver
## 827 as there was a tie for silver
## 828 United Team of Germany
## 829 United States
## 830 Romania
## 831 Soviet Union
## 832 Australia
## 833 Australia
## 834 Australia
## 835 (USA)Isabelle DanielsMae FaggsMargaret MatthewsWilma Rudolph
## 836 <NA>
## 837 Soviet Union
## 838 United Team of Germany
## 839 Soviet Union
## 840 Soviet Union
## 841 de la Hunty Australia
## 842 Soviet Union
## 843 Germany
## 844 (GBR)Sylvia CheesemanJune FouldsJean DesforgesHeather Armitage
## 845 Soviet Union
## 846 Great Britain
## 847 Soviet Union
## 848 Soviet Union
## 849 Soviet Union
## 850 Australia
## 851 United States
## 852 Australia
## 853 MyersNancy MacKayDiane FosterPatricia Jones
## 854 France
## 855 Sweden
## 856 Austria
## 857 France
## 858 Denmark
## 859 Germany
## 860 Canada
## 861 BrookshawMildred DolsonHilda CameronAileen Meagher
## 862 Germany
## 863 Germany
## 864 Poland
## Host.City Host.Country
## 1 Rio de Janeiro Brazil
## 2 Rio de Janeiro Brazil
## 3 Rio de Janeiro Brazil
## 4 Rio de Janeiro Brazil
## 5 Rio de Janeiro Brazil
## 6 Rio de Janeiro Brazil
## 7 Rio de Janeiro Brazil
## 8 Rio de Janeiro Brazil
## 9 Rio de Janeiro Brazil
## 10 Rio de Janeiro Brazil
## 11 Rio de Janeiro Brazil
## 12 Rio de Janeiro Brazil
## 13 Rio de Janeiro Brazil
## 14 Rio de Janeiro Brazil
## 15 Rio de Janeiro Brazil
## 16 Rio de Janeiro Brazil
## 17 Rio de Janeiro Brazil
## 18 Rio de Janeiro Brazil
## 19 Rio de Janeiro Brazil
## 20 Rio de Janeiro Brazil
## 21 Rio de Janeiro Brazil
## 22 Rio de Janeiro Brazil
## 23 Rio de Janeiro Brazil
## 24 Rio de Janeiro Brazil
## 25 Rio de Janeiro Brazil
## 26 Rio de Janeiro Brazil
## 27 Rio de Janeiro Brazil
## 28 Rio de Janeiro Brazil
## 29 London Great Britain
## 30 London Great Britain
## 31 London Great Britain
## 32 London Great Britain
## 33 London Great Britain
## 34 London Great Britain
## 35 London Great Britain
## 36 London Great Britain
## 37 London Great Britain
## 38 London Great Britain
## 39 London Great Britain
## 40 London Great Britain
## 41 London Great Britain
## 42 London Great Britain
## 43 London Great Britain
## 44 London Great Britain
## 45 London Great Britain
## 46 London Great Britain
## 47 London Great Britain
## 48 London Great Britain
## 49 London Great Britain
## 50 London Great Britain
## 51 London Great Britain
## 52 London Great Britain
## 53 London Great Britain
## 54 London Great Britain
## 55 London Great Britain
## 56 London Great Britain
## 57 Beijing China
## 58 Beijing China
## 59 Beijing China
## 60 Beijing China
## 61 Beijing China
## 62 Beijing China
## 63 Beijing China
## 64 Beijing China
## 65 Beijing China
## 66 Beijing China
## 67 Beijing China
## 68 Beijing China
## 69 Beijing China
## 70 Beijing China
## 71 Beijing China
## 72 Beijing China
## 73 Beijing China
## 74 Beijing China
## 75 Beijing China
## 76 Beijing China
## 77 Beijing China
## 78 Beijing China
## 79 Beijing China
## 80 Atlanta USA
## 81 Atlanta USA
## 82 Atlanta USA
## 83 Atlanta USA
## 84 Atlanta USA
## 85 Atlanta USA
## 86 Atlanta USA
## 87 Atlanta USA
## 88 Atlanta USA
## 89 Atlanta USA
## 90 Atlanta USA
## 91 Atlanta USA
## 92 Atlanta USA
## 93 Atlanta USA
## 94 Atlanta USA
## 95 Atlanta USA
## 96 Atlanta USA
## 97 Atlanta USA
## 98 Atlanta USA
## 99 Atlanta USA
## 100 Atlanta USA
## 101 Atlanta USA
## 102 Atlanta USA
## 103 Atlanta USA
## 104 Atlanta USA
## 105 Atlanta USA
## 106 Atlanta USA
## 107 Atlanta USA
## 108 Atlanta USA
## 109 Atlanta USA
## 110 Atlanta USA
## 111 Atlanta USA
## 112 Atlanta USA
## 113 Atlanta USA
## 114 Atlanta USA
## 115 Atlanta USA
## 116 Atlanta USA
## 117 Atlanta USA
## 118 Atlanta USA
## 119 Atlanta USA
## 120 Atlanta USA
## 121 Atlanta USA
## 122 Atlanta USA
## 123 Atlanta USA
## 124 Barcelona Spain
## 125 Barcelona Spain
## 126 Barcelona Spain
## 127 Barcelona Spain
## 128 Barcelona Spain
## 129 Barcelona Spain
## 130 Barcelona Spain
## 131 Barcelona Spain
## 132 Barcelona Spain
## 133 Barcelona Spain
## 134 Barcelona Spain
## 135 Barcelona Spain
## 136 Barcelona Spain
## 137 Barcelona Spain
## 138 Barcelona Spain
## 139 Barcelona Spain
## 140 Barcelona Spain
## 141 Barcelona Spain
## 142 Barcelona Spain
## 143 Seoul South Korea
## 144 Seoul South Korea
## 145 Seoul South Korea
## 146 Seoul South Korea
## 147 Seoul South Korea
## 148 Seoul South Korea
## 149 Seoul South Korea
## 150 Seoul South Korea
## 151 Seoul South Korea
## 152 Seoul South Korea
## 153 Seoul South Korea
## 154 Seoul South Korea
## 155 Seoul South Korea
## 156 Seoul South Korea
## 157 Seoul South Korea
## 158 Seoul South Korea
## 159 Seoul South Korea
## 160 Seoul South Korea
## 161 Los Angeles USA
## 162 Los Angeles USA
## 163 Los Angeles USA
## 164 Los Angeles USA
## 165 Los Angeles USA
## 166 Los Angeles USA
## 167 Los Angeles USA
## 168 Los Angeles USA
## 169 Los Angeles USA
## 170 Los Angeles USA
## 171 Los Angeles USA
## 172 Los Angeles USA
## 173 Los Angeles USA
## 174 Los Angeles USA
## 175 Los Angeles USA
## 176 Los Angeles USA
## 177 Los Angeles USA
## 178 Los Angeles USA
## 179 Moscow Russia
## 180 Moscow Russia
## 181 Moscow Russia
## 182 Moscow Russia
## 183 Moscow Russia
## 184 Moscow Russia
## 185 Moscow Russia
## 186 Moscow Russia
## 187 Moscow Russia
## 188 Moscow Russia
## 189 Moscow Russia
## 190 Moscow Russia
## 191 Moscow Russia
## 192 Moscow Russia
## 193 Montreal Canada
## 194 Montreal Canada
## 195 Montreal Canada
## 196 Montreal Canada
## 197 Montreal Canada
## 198 Montreal Canada
## 199 Montreal Canada
## 200 Montreal Canada
## 201 Montreal Canada
## 202 Montreal Canada
## 203 Montreal Canada
## 204 Montreal Canada
## 205 Montreal Canada
## 206 Montreal Canada
## 207 Munich Germany
## 208 Munich Germany
## 209 Munich Germany
## 210 Munich Germany
## 211 Munich Germany
## 212 Munich Germany
## 213 Munich Germany
## 214 Munich Germany
## 215 Munich Germany
## 216 Munich Germany
## 217 Munich Germany
## 218 Munich Germany
## 219 Munich Germany
## 220 Munich Germany
## 221 Mexico City Mexico
## 222 Mexico City Mexico
## 223 Mexico City Mexico
## 224 Mexico City Mexico
## 225 Mexico City Mexico
## 226 Mexico City Mexico
## 227 Mexico City Mexico
## 228 Mexico City Mexico
## 229 Mexico City Mexico
## 230 Mexico City Mexico
## 231 Mexico City Mexico
## 232 Mexico City Mexico
## 233 Tokyo Japan
## 234 Tokyo Japan
## 235 Tokyo Japan
## 236 Tokyo Japan
## 237 Tokyo Japan
## 238 Tokyo Japan
## 239 Tokyo Japan
## 240 Tokyo Japan
## 241 Tokyo Japan
## 242 Tokyo Japan
## 243 Tokyo Japan
## 244 Tokyo Japan
## 245 Rome Italy
## 246 Rome Italy
## 247 Rome Italy
## 248 Rome Italy
## 249 Rome Italy
## 250 Rome Italy
## 251 Rome Italy
## 252 Rome Italy
## 253 Rome Italy
## 254 Rome Italy
## 255 Rome Italy
## 256 Melbourne Australia
## 257 Melbourne Australia
## 258 Melbourne Australia
## 259 Melbourne Australia
## 260 Melbourne Australia
## 261 Melbourne Australia
## 262 Melbourne Australia
## 263 Melbourne Australia
## 264 Melbourne Australia
## 265 Helsinki Finland
## 266 Helsinki Finland
## 267 Helsinki Finland
## 268 Helsinki Finland
## 269 Helsinki Finland
## 270 Helsinki Finland
## 271 Helsinki Finland
## 272 Helsinki Finland
## 273 Helsinki Finland
## 274 London Great Britain
## 275 London Great Britain
## 276 London Great Britain
## 277 London Great Britain
## 278 London Great Britain
## 279 London Great Britain
## 280 London Great Britain
## 281 London Great Britain
## 282 London Great Britain
## 283 Berlin Germany
## 284 Berlin Germany
## 285 Berlin Germany
## 286 Berlin Germany
## 287 Berlin Germany
## 288 Berlin Germany
## 289 Rio de Janeiro Brazil
## 290 Rio de Janeiro Brazil
## 291 Rio de Janeiro Brazil
## 292 Rio de Janeiro Brazil
## 293 Rio de Janeiro Brazil
## 294 Rio de Janeiro Brazil
## 295 Rio de Janeiro Brazil
## 296 Rio de Janeiro Brazil
## 297 Rio de Janeiro Brazil
## 298 Rio de Janeiro Brazil
## 299 Rio de Janeiro Brazil
## 300 Rio de Janeiro Brazil
## 301 Rio de Janeiro Brazil
## 302 Rio de Janeiro Brazil
## 303 Rio de Janeiro Brazil
## 304 Rio de Janeiro Brazil
## 305 Rio de Janeiro Brazil
## 306 Rio de Janeiro Brazil
## 307 Rio de Janeiro Brazil
## 308 Rio de Janeiro Brazil
## 309 Rio de Janeiro Brazil
## 310 Rio de Janeiro Brazil
## 311 Rio de Janeiro Brazil
## 312 Rio de Janeiro Brazil
## 313 Rio de Janeiro Brazil
## 314 Rio de Janeiro Brazil
## 315 Rio de Janeiro Brazil
## 316 Rio de Janeiro Brazil
## 317 London Great Britain
## 318 London Great Britain
## 319 London Great Britain
## 320 London Great Britain
## 321 London Great Britain
## 322 London Great Britain
## 323 London Great Britain
## 324 London Great Britain
## 325 London Great Britain
## 326 London Great Britain
## 327 London Great Britain
## 328 London Great Britain
## 329 London Great Britain
## 330 London Great Britain
## 331 London Great Britain
## 332 London Great Britain
## 333 London Great Britain
## 334 London Great Britain
## 335 London Great Britain
## 336 London Great Britain
## 337 London Great Britain
## 338 London Great Britain
## 339 London Great Britain
## 340 London Great Britain
## 341 London Great Britain
## 342 London Great Britain
## 343 London Great Britain
## 344 London Great Britain
## 345 Beijing China
## 346 Beijing China
## 347 Beijing China
## 348 Beijing China
## 349 Beijing China
## 350 Beijing China
## 351 Beijing China
## 352 Beijing China
## 353 Beijing China
## 354 Beijing China
## 355 Beijing China
## 356 Beijing China
## 357 Beijing China
## 358 Beijing China
## 359 Beijing China
## 360 Beijing China
## 361 Beijing China
## 362 Beijing China
## 363 Beijing China
## 364 Beijing China
## 365 Beijing China
## 366 Beijing China
## 367 Beijing China
## 368 Atlanta USA
## 369 Atlanta USA
## 370 Atlanta USA
## 371 Atlanta USA
## 372 Atlanta USA
## 373 Atlanta USA
## 374 Atlanta USA
## 375 Atlanta USA
## 376 Atlanta USA
## 377 Atlanta USA
## 378 Atlanta USA
## 379 Atlanta USA
## 380 Atlanta USA
## 381 Atlanta USA
## 382 Atlanta USA
## 383 Atlanta USA
## 384 Atlanta USA
## 385 Atlanta USA
## 386 Atlanta USA
## 387 Atlanta USA
## 388 Atlanta USA
## 389 Atlanta USA
## 390 Atlanta USA
## 391 Atlanta USA
## 392 Atlanta USA
## 393 Atlanta USA
## 394 Atlanta USA
## 395 Atlanta USA
## 396 Atlanta USA
## 397 Atlanta USA
## 398 Atlanta USA
## 399 Atlanta USA
## 400 Atlanta USA
## 401 Atlanta USA
## 402 Atlanta USA
## 403 Atlanta USA
## 404 Atlanta USA
## 405 Atlanta USA
## 406 Atlanta USA
## 407 Atlanta USA
## 408 Atlanta USA
## 409 Atlanta USA
## 410 Atlanta USA
## 411 Atlanta USA
## 412 Barcelona Spain
## 413 Barcelona Spain
## 414 Barcelona Spain
## 415 Barcelona Spain
## 416 Barcelona Spain
## 417 Barcelona Spain
## 418 Barcelona Spain
## 419 Barcelona Spain
## 420 Barcelona Spain
## 421 Barcelona Spain
## 422 Barcelona Spain
## 423 Barcelona Spain
## 424 Barcelona Spain
## 425 Barcelona Spain
## 426 Barcelona Spain
## 427 Barcelona Spain
## 428 Barcelona Spain
## 429 Barcelona Spain
## 430 Barcelona Spain
## 431 Seoul South Korea
## 432 Seoul South Korea
## 433 Seoul South Korea
## 434 Seoul South Korea
## 435 Seoul South Korea
## 436 Seoul South Korea
## 437 Seoul South Korea
## 438 Seoul South Korea
## 439 Seoul South Korea
## 440 Seoul South Korea
## 441 Seoul South Korea
## 442 Seoul South Korea
## 443 Seoul South Korea
## 444 Seoul South Korea
## 445 Seoul South Korea
## 446 Seoul South Korea
## 447 Seoul South Korea
## 448 Seoul South Korea
## 449 Los Angeles USA
## 450 Los Angeles USA
## 451 Los Angeles USA
## 452 Los Angeles USA
## 453 Los Angeles USA
## 454 Los Angeles USA
## 455 Los Angeles USA
## 456 Los Angeles USA
## 457 Los Angeles USA
## 458 Los Angeles USA
## 459 Los Angeles USA
## 460 Los Angeles USA
## 461 Los Angeles USA
## 462 Los Angeles USA
## 463 Los Angeles USA
## 464 Los Angeles USA
## 465 Los Angeles USA
## 466 Los Angeles USA
## 467 Moscow Russia
## 468 Moscow Russia
## 469 Moscow Russia
## 470 Moscow Russia
## 471 Moscow Russia
## 472 Moscow Russia
## 473 Moscow Russia
## 474 Moscow Russia
## 475 Moscow Russia
## 476 Moscow Russia
## 477 Moscow Russia
## 478 Moscow Russia
## 479 Moscow Russia
## 480 Moscow Russia
## 481 Montreal Canada
## 482 Montreal Canada
## 483 Montreal Canada
## 484 Montreal Canada
## 485 Montreal Canada
## 486 Montreal Canada
## 487 Montreal Canada
## 488 Montreal Canada
## 489 Montreal Canada
## 490 Montreal Canada
## 491 Montreal Canada
## 492 Montreal Canada
## 493 Montreal Canada
## 494 Montreal Canada
## 495 Munich Germany
## 496 Munich Germany
## 497 Munich Germany
## 498 Munich Germany
## 499 Munich Germany
## 500 Munich Germany
## 501 Munich Germany
## 502 Munich Germany
## 503 Munich Germany
## 504 Munich Germany
## 505 Munich Germany
## 506 Munich Germany
## 507 Munich Germany
## 508 Munich Germany
## 509 Mexico City Mexico
## 510 Mexico City Mexico
## 511 Mexico City Mexico
## 512 Mexico City Mexico
## 513 Mexico City Mexico
## 514 Mexico City Mexico
## 515 Mexico City Mexico
## 516 Mexico City Mexico
## 517 Mexico City Mexico
## 518 Mexico City Mexico
## 519 Mexico City Mexico
## 520 Mexico City Mexico
## 521 Tokyo Japan
## 522 Tokyo Japan
## 523 Tokyo Japan
## 524 Tokyo Japan
## 525 Tokyo Japan
## 526 Tokyo Japan
## 527 Tokyo Japan
## 528 Tokyo Japan
## 529 Tokyo Japan
## 530 Tokyo Japan
## 531 Tokyo Japan
## 532 Tokyo Japan
## 533 Rome Italy
## 534 Rome Italy
## 535 Rome Italy
## 536 Rome Italy
## 537 Rome Italy
## 538 Rome Italy
## 539 Rome Italy
## 540 Rome Italy
## 541 Rome Italy
## 542 Rome Italy
## 543 Rome Italy
## 544 Melbourne Australia
## 545 Melbourne Australia
## 546 Melbourne Australia
## 547 Melbourne Australia
## 548 Melbourne Australia
## 549 Melbourne Australia
## 550 Melbourne Australia
## 551 Melbourne Australia
## 552 Melbourne Australia
## 553 Helsinki Finland
## 554 Helsinki Finland
## 555 Helsinki Finland
## 556 Helsinki Finland
## 557 Helsinki Finland
## 558 Helsinki Finland
## 559 Helsinki Finland
## 560 Helsinki Finland
## 561 Helsinki Finland
## 562 London Great Britain
## 563 London Great Britain
## 564 London Great Britain
## 565 London Great Britain
## 566 London Great Britain
## 567 London Great Britain
## 568 London Great Britain
## 569 London Great Britain
## 570 London Great Britain
## 571 Berlin Germany
## 572 Berlin Germany
## 573 Berlin Germany
## 574 Berlin Germany
## 575 Berlin Germany
## 576 Berlin Germany
## 577 Rio de Janeiro Brazil
## 578 Rio de Janeiro Brazil
## 579 Rio de Janeiro Brazil
## 580 Rio de Janeiro Brazil
## 581 Rio de Janeiro Brazil
## 582 Rio de Janeiro Brazil
## 583 Rio de Janeiro Brazil
## 584 Rio de Janeiro Brazil
## 585 Rio de Janeiro Brazil
## 586 Rio de Janeiro Brazil
## 587 Rio de Janeiro Brazil
## 588 Rio de Janeiro Brazil
## 589 Rio de Janeiro Brazil
## 590 Rio de Janeiro Brazil
## 591 Rio de Janeiro Brazil
## 592 Rio de Janeiro Brazil
## 593 Rio de Janeiro Brazil
## 594 Rio de Janeiro Brazil
## 595 Rio de Janeiro Brazil
## 596 Rio de Janeiro Brazil
## 597 Rio de Janeiro Brazil
## 598 Rio de Janeiro Brazil
## 599 Rio de Janeiro Brazil
## 600 Rio de Janeiro Brazil
## 601 Rio de Janeiro Brazil
## 602 Rio de Janeiro Brazil
## 603 Rio de Janeiro Brazil
## 604 Rio de Janeiro Brazil
## 605 London Great Britain
## 606 London Great Britain
## 607 London Great Britain
## 608 London Great Britain
## 609 London Great Britain
## 610 London Great Britain
## 611 London Great Britain
## 612 London Great Britain
## 613 London Great Britain
## 614 London Great Britain
## 615 London Great Britain
## 616 London Great Britain
## 617 London Great Britain
## 618 London Great Britain
## 619 London Great Britain
## 620 London Great Britain
## 621 London Great Britain
## 622 London Great Britain
## 623 London Great Britain
## 624 London Great Britain
## 625 London Great Britain
## 626 London Great Britain
## 627 London Great Britain
## 628 London Great Britain
## 629 London Great Britain
## 630 London Great Britain
## 631 London Great Britain
## 632 London Great Britain
## 633 Beijing China
## 634 Beijing China
## 635 Beijing China
## 636 Beijing China
## 637 Beijing China
## 638 Beijing China
## 639 Beijing China
## 640 Beijing China
## 641 Beijing China
## 642 Beijing China
## 643 Beijing China
## 644 Beijing China
## 645 Beijing China
## 646 Beijing China
## 647 Beijing China
## 648 Beijing China
## 649 Beijing China
## 650 Beijing China
## 651 Beijing China
## 652 Beijing China
## 653 Beijing China
## 654 Beijing China
## 655 Beijing China
## 656 Atlanta USA
## 657 Atlanta USA
## 658 Atlanta USA
## 659 Atlanta USA
## 660 Atlanta USA
## 661 Atlanta USA
## 662 Atlanta USA
## 663 Atlanta USA
## 664 Atlanta USA
## 665 Atlanta USA
## 666 Atlanta USA
## 667 Atlanta USA
## 668 Atlanta USA
## 669 Atlanta USA
## 670 Atlanta USA
## 671 Atlanta USA
## 672 Atlanta USA
## 673 Atlanta USA
## 674 Atlanta USA
## 675 Atlanta USA
## 676 Atlanta USA
## 677 Atlanta USA
## 678 Atlanta USA
## 679 Atlanta USA
## 680 Atlanta USA
## 681 Atlanta USA
## 682 Atlanta USA
## 683 Atlanta USA
## 684 Atlanta USA
## 685 Atlanta USA
## 686 Atlanta USA
## 687 Atlanta USA
## 688 Atlanta USA
## 689 Atlanta USA
## 690 Atlanta USA
## 691 Atlanta USA
## 692 Atlanta USA
## 693 Atlanta USA
## 694 Atlanta USA
## 695 Atlanta USA
## 696 Atlanta USA
## 697 Atlanta USA
## 698 Atlanta USA
## 699 Atlanta USA
## 700 Barcelona Spain
## 701 Barcelona Spain
## 702 Barcelona Spain
## 703 Barcelona Spain
## 704 Barcelona Spain
## 705 Barcelona Spain
## 706 Barcelona Spain
## 707 Barcelona Spain
## 708 Barcelona Spain
## 709 Barcelona Spain
## 710 Barcelona Spain
## 711 Barcelona Spain
## 712 Barcelona Spain
## 713 Barcelona Spain
## 714 Barcelona Spain
## 715 Barcelona Spain
## 716 Barcelona Spain
## 717 Barcelona Spain
## 718 Barcelona Spain
## 719 Seoul South Korea
## 720 Seoul South Korea
## 721 Seoul South Korea
## 722 Seoul South Korea
## 723 Seoul South Korea
## 724 Seoul South Korea
## 725 Seoul South Korea
## 726 Seoul South Korea
## 727 Seoul South Korea
## 728 Seoul South Korea
## 729 Seoul South Korea
## 730 Seoul South Korea
## 731 Seoul South Korea
## 732 Seoul South Korea
## 733 Seoul South Korea
## 734 Seoul South Korea
## 735 Seoul South Korea
## 736 Seoul South Korea
## 737 Los Angeles USA
## 738 Los Angeles USA
## 739 Los Angeles USA
## 740 Los Angeles USA
## 741 Los Angeles USA
## 742 Los Angeles USA
## 743 Los Angeles USA
## 744 Los Angeles USA
## 745 Los Angeles USA
## 746 Los Angeles USA
## 747 Los Angeles USA
## 748 Los Angeles USA
## 749 Los Angeles USA
## 750 Los Angeles USA
## 751 Los Angeles USA
## 752 Los Angeles USA
## 753 Los Angeles USA
## 754 Los Angeles USA
## 755 Moscow Russia
## 756 Moscow Russia
## 757 Moscow Russia
## 758 Moscow Russia
## 759 Moscow Russia
## 760 Moscow Russia
## 761 Moscow Russia
## 762 Moscow Russia
## 763 Moscow Russia
## 764 Moscow Russia
## 765 Moscow Russia
## 766 Moscow Russia
## 767 Moscow Russia
## 768 Moscow Russia
## 769 Montreal Canada
## 770 Montreal Canada
## 771 Montreal Canada
## 772 Montreal Canada
## 773 Montreal Canada
## 774 Montreal Canada
## 775 Montreal Canada
## 776 Montreal Canada
## 777 Montreal Canada
## 778 Montreal Canada
## 779 Montreal Canada
## 780 Montreal Canada
## 781 Montreal Canada
## 782 Montreal Canada
## 783 Munich Germany
## 784 Munich Germany
## 785 Munich Germany
## 786 Munich Germany
## 787 Munich Germany
## 788 Munich Germany
## 789 Munich Germany
## 790 Munich Germany
## 791 Munich Germany
## 792 Munich Germany
## 793 Munich Germany
## 794 Munich Germany
## 795 Munich Germany
## 796 Munich Germany
## 797 Mexico City Mexico
## 798 Mexico City Mexico
## 799 Mexico City Mexico
## 800 Mexico City Mexico
## 801 Mexico City Mexico
## 802 Mexico City Mexico
## 803 Mexico City Mexico
## 804 Mexico City Mexico
## 805 Mexico City Mexico
## 806 Mexico City Mexico
## 807 Mexico City Mexico
## 808 Mexico City Mexico
## 809 Tokyo Japan
## 810 Tokyo Japan
## 811 Tokyo Japan
## 812 Tokyo Japan
## 813 Tokyo Japan
## 814 Tokyo Japan
## 815 Tokyo Japan
## 816 Tokyo Japan
## 817 Tokyo Japan
## 818 Tokyo Japan
## 819 Tokyo Japan
## 820 Tokyo Japan
## 821 Rome Italy
## 822 Rome Italy
## 823 Rome Italy
## 824 Rome Italy
## 825 Rome Italy
## 826 Rome Italy
## 827 Rome Italy
## 828 Rome Italy
## 829 Rome Italy
## 830 Rome Italy
## 831 Rome Italy
## 832 Melbourne Australia
## 833 Melbourne Australia
## 834 Melbourne Australia
## 835 Melbourne Australia
## 836 Melbourne Australia
## 837 Melbourne Australia
## 838 Melbourne Australia
## 839 Melbourne Australia
## 840 Melbourne Australia
## 841 Helsinki Finland
## 842 Helsinki Finland
## 843 Helsinki Finland
## 844 Helsinki Finland
## 845 Helsinki Finland
## 846 Helsinki Finland
## 847 Helsinki Finland
## 848 Helsinki Finland
## 849 Helsinki Finland
## 850 London Great Britain
## 851 London Great Britain
## 852 London Great Britain
## 853 London Great Britain
## 854 London Great Britain
## 855 London Great Britain
## 856 London Great Britain
## 857 London Great Britain
## 858 London Great Britain
## 859 Berlin Germany
## 860 Berlin Germany
## 861 Berlin Germany
## 862 Berlin Germany
## 863 Berlin Germany
## 864 Berlin Germanywrite.csv(oly_women_clean, "/Users/rochellerafn/RStudio Files/oly_women_clean.csv")oly_men_100m_record <- oly_men_100m %>%
filter(Record %in% c("WR)", "=WR)"))%>%
group_by(Year, Time)
oly_men_100m_record## # A tibble: 4 × 9
## # Groups: Year, Time [4]
## Year Medal Time Record Event Name Athlete.Country Host.City Host.Country
## <dbl> <chr> <dbl> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 2008 Gold 9.69 WR) 100 metres Usai… Jamaica Beijing China
## 2 1996 Gold 9.84 WR) 100 metres Dono… Canada Atlanta USA
## 3 1988 Gold 9.92 WR) 100 metres Carl… United States Seoul South Korea
## 4 1964 Gold 10 =WR) 100 metres Bob … United States Tokyo Japanoly_women_100m_record <- oly_women_clean %>%
filter(Record %in% c("WR)", "=WR)"), Event == "100 metres")%>%
group_by(Year, Time)
oly_women_100m_record## # A tibble: 1 × 9
## # Groups: Year, Time [1]
## Year Medal Time Record Event Name Athlete.Country Host.City Host.Country
## <dbl> <chr> <dbl> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1972 Gold 11.1 WR) 100 metres Rena… East Germany Munich Germanyoly_women_200m_record <- oly_women_clean %>%
filter(Record %in% c("WR)", "=WR)"), Event == "200 metres")%>%
group_by(Year, Time)
oly_women_200m_record## # A tibble: 2 × 9
## # Groups: Year, Time [2]
## Year Medal Time Record Event Name Athlete.Country Host.City Host.Country
## <dbl> <chr> <dbl> <chr> <chr> <chr> <chr> <chr> <chr>
## 1 1988 Gold 21.3 WR) 200 metres Flor… Joyner United … Seoul South Korea
## 2 1972 Gold 22.4 =WR) 200 metres Rena… East Germany Munich GermanyMen’s 100 Meter Medals Over Time
men100m_graph <- oly_men_100m %>%
ggplot(aes(Year, Time, color = Medal))+
geom_point(alpha = 0.5, size = 3)+
geom_line()+
geom_point(data = oly_men_100m_record, aes(Year, Time), color = "turquoise", size = 3, alpha = 0.5)+
geom_rect(xmin=1939, xmax=1945, ymin=9.6, ymax=10.64, color = "grey", linetype = "dotted", alpha = 0)+
geom_vline(xintercept = 1967, linetype = "dotted", color = "grey", size = 0.75)+
theme(panel.background = element_blank(),
plot.background = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
plot.title = element_text(family = "Courier"),
legend.title = element_text(family = "Courier"),
plot.subtitle = element_text(family = "Courier"),
axis.text = element_text(family = "Courier"),
legend.text = element_text(family = "Courier"),
legend.background = element_blank(),
axis.title = element_text(family = "Courier"),
legend.key = element_rect(fill = "white"))+
scale_color_manual(values = c("#FFB48C", "#EBD739", "#B5BCC2"))+
scale_x_continuous(breaks = c(1936, 1944, 1952, 1960, 1968, 1976, 1984, 1992, 2000, 2008, 2016),
labels = c("1936", "1944", "1952", "1960", "1968", "1976", "1984", "1992", "2000", "2008", "2016"))+
geom_text(aes(1976, 9.65), label = "PEDs Banned", size = 3.8, family = "Courier", color = "grey")+
labs(title = "Gold, Silver & Bronze Medals Over Time",
subtitle = "Mens 100m Dash",
y = "Time (in seconds)")
men100m_graph
oly_women_100m <- oly_women_clean %>%
filter(Event == "100 metres")%>%
arrange(desc(Year))
oly_women_100m## Year Medal Time Record Event Name
## 1 2016 Gold 10.71 <NA> 100 metres Elaine Thompson
## 2 2016 Silver 10.83 <NA> 100 metres Tori Bowie
## 3 2016 Bronze 10.86 <NA> 100 metres Shelly-Ann Fraser-Pryce
## 4 2012 Gold 10.75 <NA> 100 metres Shelly-Ann Fraser-Pryce
## 5 2012 Silver 10.78 <NA> 100 metres Carmelita Jeter
## 6 2012 Bronze 10.81 <NA> 100 metres Veronica Campbell-Brown
## 7 2000 Gold NA <NA> 100 metres Not awarded[2]
## 8 2000 Gold NA <NA> 100 metres Not awarded[2]
## 9 2000 Silver 11.12 <NA> 100 metres Ekaterini Thanou
## 10 2000 Silver 11.18 <NA> 100 metres Tayna Lawrence
## 11 2000 Bronze 11.19 <NA> 100 metres Merlene Ottey
## 12 2000 Bronze 11.19 <NA> 100 metres Merlene Ottey
## 13 1996 Gold 10.94 <NA> 100 metres Gail Devers
## 14 1996 Silver 10.94 <NA> 100 metres Merlene Ottey
## 15 1996 Bronze 10.96 <NA> 100 metres Gwen Torrence
## 16 1992 Gold 10.82 <NA> 100 metres Gail Devers
## 17 1992 Silver 10.83 <NA> 100 metres Juliet Cuthbert
## 18 1992 Bronze 10.84 <NA> 100 metres Irina Privalova
## 19 1988 Gold 10.54 OR) 100 metres Florence Griffith
## 20 1988 Silver 10.83 <NA> 100 metres Evelyn Ashford
## 21 1988 Bronze 10.85 <NA> 100 metres Heike Drechsler
## 22 1984 Gold 10.97 <NA> 100 metres Evelyn Ashford
## 23 1984 Silver 11.13 <NA> 100 metres Alice Brown
## 24 1984 Bronze 11.16 <NA> 100 metres Merlene Ottey
## 25 1980 Gold 11.06 <NA> 100 metres Lyudmila Kondratyeva
## 26 1980 Silver 11.07 <NA> 100 metres Marlies Göhr
## 27 1980 Bronze 11.14 <NA> 100 metres Ingrid Auerswald
## 28 1976 Gold 11.08 <NA> 100 metres Annegret Richter
## 29 1976 Silver 11.13 <NA> 100 metres Renate Stecher
## 30 1976 Bronze 11.17 <NA> 100 metres Inge Helten
## 31 1972 Gold 11.07 WR) 100 metres Renate Stecher
## 32 1972 Silver 11.23 <NA> 100 metres Raelene Boyle
## 33 1972 Bronze 11.24 <NA> 100 metres Silvia Chibás
## 34 1968 Gold 11.08 <NA> 100 metres Wyomia Tyus
## 35 1968 Silver 11.15 <NA> 100 metres Barbara Ferrell
## 36 1968 Bronze 11.19 <NA> 100 metres Irena Szewińska
## 37 1964 Gold 11.40 <NA> 100 metres Wyomia Tyus
## 38 1964 Silver 11.60 <NA> 100 metres Edith McGuire
## 39 1964 Bronze 11.60 <NA> 100 metres Ewa Kłobukowska
## 40 1960 Gold 11.00 <NA> 100 metres Wilma Rudolph
## 41 1960 Silver 11.30 <NA> 100 metres Dorothy Hyman
## 42 1960 Bronze 11.30 <NA> 100 metres Giuseppina Leone
## 43 1956 Gold 11.50 <NA> 100 metres Betty Cuthbert
## 44 1956 Silver 11.70 <NA> 100 metres Christa Stubnick
## 45 1956 Bronze 11.70 <NA> 100 metres Marlene Matthews
## 46 1952 Gold 11.50 <NA> 100 metres Marjorie Jackson
## 47 1952 Silver 11.80 <NA> 100 metres Daphne Hasenjager
## 48 1952 Bronze 11.90 <NA> 100 metres Shirley Strickland
## 49 1948 Gold 11.90 <NA> 100 metres Fanny Blankers-Koen
## 50 1948 Silver 12.20 <NA> 100 metres Dorothy Manley
## 51 1948 Bronze 12.20 <NA> 100 metres Shirley Strickland
## 52 1936 Gold 11.50 <NA> 100 metres Helen Stephens
## 53 1936 Silver 11.70 <NA> 100 metres Stanisława Walasiewicz
## 54 1936 Bronze 11.90 <NA> 100 metres Käthe Krauß
## Athlete.Country Host.City Host.Country
## 1 Jamaica Rio de Janeiro Brazil
## 2 United States Rio de Janeiro Brazil
## 3 Jamaica Rio de Janeiro Brazil
## 4 Jamaica London Great Britain
## 5 United States London Great Britain
## 6 Jamaica London Great Britain
## 7 <NA> Atlanta USA
## 8 <NA> Atlanta USA
## 9 Greece Atlanta USA
## 10 Jamaica Atlanta USA
## 11 Jamaica Atlanta USA
## 12 Jamaica Atlanta USA
## 13 United States Atlanta USA
## 14 Jamaica Atlanta USA
## 15 United States Atlanta USA
## 16 United States Barcelona Spain
## 17 Jamaica Barcelona Spain
## 18 Unified Team( Russia) Barcelona Spain
## 19 Joyner United States Seoul South Korea
## 20 United States Seoul South Korea
## 21 East Germany Seoul South Korea
## 22 United States Los Angeles USA
## 23 United States Los Angeles USA
## 24 Jamaica Los Angeles USA
## 25 Soviet Union Moscow Russia
## 26 East Germany Moscow Russia
## 27 East Germany Moscow Russia
## 28 West Germany Montreal Canada
## 29 East Germany Montreal Canada
## 30 West Germany Montreal Canada
## 31 East Germany Munich Germany
## 32 Australia Munich Germany
## 33 Cuba Munich Germany
## 34 United States Mexico City Mexico
## 35 United States Mexico City Mexico
## 36 Poland Mexico City Mexico
## 37 United States Tokyo Japan
## 38 United States Tokyo Japan
## 39 Poland Tokyo Japan
## 40 United States Rome Italy
## 41 Great Britain Rome Italy
## 42 Italy Rome Italy
## 43 Australia Melbourne Australia
## 44 United Team of Germany Melbourne Australia
## 45 Australia Melbourne Australia
## 46 Australia Helsinki Finland
## 47 South Africa Helsinki Finland
## 48 de la Hunty Australia Helsinki Finland
## 49 Netherlands London Great Britain
## 50 Great Britain London Great Britain
## 51 Australia London Great Britain
## 52 United States Berlin Germany
## 53 Poland Berlin Germany
## 54 Germany Berlin GermanyWomen’s 100 Meter Medals Over Time
2000 Women’s 100M gold: The gold medal was originally won by Marion Jones of the United States. However, on 5 October 2007, she admitted to having used performance-enhancing drugs prior to the 2000 Olympics. On 9 October she relinquished her medals to the United States Olympic Committee, and on 12 December the International Olympic Committee formally stripped her of her medals.
The IOC did not initially decide to regrade the results, as silver medalist Ekaterini Thanou had herself been subsequently involved in a doping scandal in the run-up to the 2004 Summer Olympics. After two years of deliberation, in late 2009 the IOC decided to upgrade Lawrence (original bronze) and Ottey (original 4th) to silver and bronze respectively, and leave Thanou as a silver medallist, with the gold medal withheld.##
women100m_graph <- oly_women_100m %>%
ggplot(aes(Year, Time, color = Medal))+
geom_point(alpha = 0.5, size = 3)+
geom_point(data = oly_women_100m_record, aes(Year, Time), color = "turquoise", size = 3, alpha = 0.5)+
geom_line()+
geom_rect(xmin=1939, xmax=1945, ymin=10.5, ymax=12.25, color = "grey", linetype = "dotted", alpha = 0)+
geom_vline(xintercept = 1967, linetype = "dotted", color = "grey", size = 0.75)+
labs(title = "Gold, Silver & Bronze Medals Over 100 Years",
subtitle = "Womens 100m Dash",
y = "Time (in seconds)")+
theme(panel.background = element_blank(),
plot.background = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
plot.title = element_text(family = "Courier"),
legend.title = element_text(family = "Courier"),
plot.subtitle = element_text(family = "Courier"),
axis.text = element_text(family = "Courier"),
legend.text = element_text(family = "Courier"),
legend.background = element_blank(),
axis.title = element_text(family = "Courier"),
legend.key = element_rect(fill = "white"))+
scale_color_manual(values = c("#FFB48C", "#EBD739", "#B5BCC2"))+
scale_x_continuous(breaks = c(1936, 1944, 1952, 1960, 1968, 1976, 1984, 1992, 2000, 2008, 2016),
labels = c("1936", "1944", "1952", "1960", "1968", "1976", "1984", "1992", "2000", "2008", "2016"))+
geom_text(aes(1976, 10.55), label = "PEDs Banned", size = 3.8, family = "Courier", color = "grey")
women100m_graph
oly_men_200m <- oly_men_clean %>%
filter(Event == "200 metres")%>%
arrange(desc(Year))
oly_men_200m_record <- oly_men_200m %>%
filter(Record %in% c("WR)", "=WR)"))%>%
group_by(Year, Time)
oly_women_200m <- oly_women_clean %>%
filter(Event == "200 metres")%>%
arrange(desc(Year))
oly_men_200m## Year Medal Time Record Event Name
## 1 2016 Gold 19.78 <NA> 200 metres Usain Bolt
## 2 2016 Silver 20.02 <NA> 200 metres Andre De
## 3 2016 Bronze 20.12 <NA> 200 metres Christophe Lemaitre
## 4 2012 Gold 19.32 <NA> 200 metres Usain Bolt
## 5 2012 Silver 19.44 <NA> 200 metres Yohan Blake
## 6 2012 Bronze 19.84 <NA> 200 metres Warren Weir
## 7 2008 Gold 19.30 WR) 200 metres Usain Bolt
## 8 2008 Silver 19.96 <NA> 200 metres Shawn Crawford
## 9 2008 Bronze 19.98 <NA> 200 metres Walter Dix
## 10 2004 Gold 19.79 <NA> 200 metres Shawn Crawford
## 11 2004 Silver 20.01 <NA> 200 metres Bernard Williams
## 12 2004 Bronze 20.03 <NA> 200 metres Justin Gatlin
## 13 2000 Gold 20.09 <NA> 200 metres Konstantinos Kenteris
## 14 2000 Silver 20.14 <NA> 200 metres Darren Campbell
## 15 2000 Bronze 20.20 <NA> 200 metres Ato Boldon
## 16 1996 Gold 19.32 WR) 200 metres Michael Johnson
## 17 1996 Silver 19.68 AR) 200 metres Frankie Fredericks
## 18 1996 Bronze 19.80 <NA> 200 metres Ato Boldon
## 19 1992 Gold 20.01 <NA> 200 metres Michael Marsh
## 20 1992 Silver 20.13 <NA> 200 metres Frankie Fredericks
## 21 1992 Bronze 20.38 <NA> 200 metres Michael Bates
## 22 1988 Gold 19.75 <NA> 200 metres Joe DeLoach
## 23 1988 Silver 19.79 <NA> 200 metres Carl Lewis
## 24 1988 Bronze 20.04 <NA> 200 metres Robson da
## 25 1984 Gold 19.80 <NA> 200 metres Carl Lewis
## 26 1984 Silver 19.96 <NA> 200 metres Kirk Baptiste
## 27 1984 Bronze 20.26 <NA> 200 metres Thomas Jefferson
## 28 1980 Gold 20.19 <NA> 200 metres Pietro Mennea
## 29 1980 Silver 20.21 <NA> 200 metres Allan Wells
## 30 1980 Bronze 20.29 <NA> 200 metres Don Quarrie
## 31 1976 Gold 20.23 <NA> 200 metres Don Quarrie
## 32 1976 Silver 20.29 <NA> 200 metres Millard Hampton
## 33 1976 Bronze 20.43 <NA> 200 metres Dwayne Evans
## 34 1972 Gold 20.00 <NA> 200 metres Valeriy Borzov
## 35 1972 Silver 20.19 <NA> 200 metres Larry Black
## 36 1972 Bronze 20.30 <NA> 200 metres Pietro Mennea
## 37 1968 Gold 19.83 <NA> 200 metres Tommie Smith
## 38 1968 Silver 20.06 <NA> 200 metres Peter Norman
## 39 1968 Bronze 20.10 <NA> 200 metres John Carlos
## 40 1964 Gold 20.30 OR) 200 metres Henry Carr
## 41 1964 Silver 20.50 <NA> 200 metres Paul Drayton
## 42 1964 Bronze 20.60 <NA> 200 metres Edwin Roberts
## 43 1960 Gold 20.50 =WR) 200 metres Livio Berruti
## 44 1960 Silver 20.60 <NA> 200 metres Lester Carney
## 45 1960 Bronze 20.70 <NA> 200 metres Abdoulaye Seye
## 46 1956 Gold 20.60 OR) 200 metres Bobby Morrow
## 47 1956 Silver 20.70 <NA> 200 metres Andy Stanfield
## 48 1956 Bronze 20.90 <NA> 200 metres Thane Baker
## 49 1952 Gold 20.70 <NA> 200 metres Andy Stanfield
## 50 1952 Silver 20.80 <NA> 200 metres Thane Baker
## 51 1952 Bronze 20.80 <NA> 200 metres James Gathers
## 52 1948 Gold 21.10 <NA> 200 metres Mel Patton
## 53 1948 Silver 21.10 <NA> 200 metres Barney Ewell
## 54 1948 Bronze 21.20 <NA> 200 metres Lloyd LaBeach
## 55 1936 Gold 20.70 <NA> 200 metres Jesse Owens
## 56 1936 Silver 21.10 <NA> 200 metres Mack Robinson
## 57 1936 Bronze 21.30 <NA> 200 metres Tinus Osendarp
## Athlete.Country Host.City Host.Country
## 1 Jamaica Rio de Janeiro Brazil
## 2 Grasse Canada Rio de Janeiro Brazil
## 3 France Rio de Janeiro Brazil
## 4 Jamaica London Great Britain
## 5 Jamaica London Great Britain
## 6 Jamaica London Great Britain
## 7 Jamaica Beijing China
## 8 United States Beijing China
## 9 United States Beijing China
## 10 United States Athens Greece
## 11 United States Athens Greece
## 12 United States Athens Greece
## 13 Greece Sydney Australia
## 14 Great Britain Sydney Australia
## 15 Trinidad and Tobago Sydney Australia
## 16 United States Atlanta USA
## 17 Namibia Atlanta USA
## 18 Trinidad and Tobago Atlanta USA
## 19 United States Barcelona Spain
## 20 Namibia Barcelona Spain
## 21 United States Barcelona Spain
## 22 United States Seoul South Korea
## 23 United States Seoul South Korea
## 24 Silva Brazil Seoul South Korea
## 25 United States Los Angeles USA
## 26 United States Los Angeles USA
## 27 United States Los Angeles USA
## 28 Italy Moscow Russia
## 29 Great Britain Moscow Russia
## 30 Jamaica Moscow Russia
## 31 Jamaica Montreal Canada
## 32 United States Montreal Canada
## 33 United States Montreal Canada
## 34 Soviet Union Munich Germany
## 35 United States Munich Germany
## 36 Italy Munich Germany
## 37 United States Mexico City Mexico
## 38 Australia Mexico City Mexico
## 39 United States Mexico City Mexico
## 40 United States Tokyo Japan
## 41 United States Tokyo Japan
## 42 Trinidad and Tobago Tokyo Japan
## 43 Italy Rome Italy
## 44 United States Rome Italy
## 45 France Rome Italy
## 46 United States Melbourne Australia
## 47 United States Melbourne Australia
## 48 United States Melbourne Australia
## 49 United States Helsinki Finland
## 50 United States Helsinki Finland
## 51 United States Helsinki Finland
## 52 United States London Great Britain
## 53 United States London Great Britain
## 54 Panama London Great Britain
## 55 United States Berlin Germany
## 56 United States Berlin Germany
## 57 Netherlands Berlin Germanyoly_women_200m## Year Medal Time Record Event Name
## 1 2016 Gold 21.78 <NA> 200 metres Elaine Thompson
## 2 2016 Silver 21.88 <NA> 200 metres Dafne Schippers
## 3 2016 Bronze 22.15 <NA> 200 metres Tori Bowie
## 4 2012 Gold 21.88 <NA> 200 metres Allyson Felix
## 5 2012 Silver 22.09 <NA> 200 metres Shelly-Ann Fraser-Pryce
## 6 2012 Bronze 22.14 <NA> 200 metres Carmelita Jeter
## 7 2000 Gold 22.27 <NA> 200 metres Pauline Davis-Thompson[2]
## 8 2000 Silver 22.28 NR) 200 metres Susanthika Jayasinghe
## 9 2000 Bronze 22.35 <NA> 200 metres Beverly McDonald
## 10 1996 Gold 22.12 <NA> 200 metres Marie-José Pérec
## 11 1996 Silver 22.24 <NA> 200 metres Merlene Ottey
## 12 1996 Bronze 22.38 <NA> 200 metres Mary Onyali
## 13 1992 Gold 21.81 <NA> 200 metres Gwen Torrence
## 14 1992 Silver 22.02 <NA> 200 metres Juliet Cuthbert
## 15 1992 Bronze 22.09 <NA> 200 metres Merlene Ottey
## 16 1988 Gold 21.34 WR) 200 metres Florence Griffith
## 17 1988 Silver 21.72 <NA> 200 metres Grace Jackson
## 18 1988 Bronze 21.95 <NA> 200 metres Heike Drechsler
## 19 1984 Gold 21.81 <NA> 200 metres Valerie Brisco-Hooks
## 20 1984 Silver 22.04 <NA> 200 metres Florence Griffith
## 21 1984 Bronze 22.09 <NA> 200 metres Merlene Ottey
## 22 1980 Gold 22.03 <NA> 200 metres Bärbel Wöckel
## 23 1980 Silver 22.19 <NA> 200 metres Natalya Bochina
## 24 1980 Bronze 22.20 <NA> 200 metres Merlene Ottey
## 25 1976 Gold 22.37 <NA> 200 metres Bärbel Eckert
## 26 1976 Silver 22.39 <NA> 200 metres Annegret Richter
## 27 1976 Bronze 22.47 <NA> 200 metres Renate Stecher
## 28 1972 Gold 22.40 =WR) 200 metres Renate Stecher
## 29 1972 Silver 22.45 <NA> 200 metres Raelene Boyle
## 30 1972 Bronze 22.74 <NA> 200 metres Irena Szewińska
## 31 1968 Gold 22.58 <NA> 200 metres Irena Szewińska
## 32 1968 Silver 22.74 <NA> 200 metres Raelene Boyle
## 33 1968 Bronze 22.88 <NA> 200 metres Jenny Lamy
## 34 1964 Gold 23.00 OR) 200 metres Edith McGuire
## 35 1964 Silver 23.10 <NA> 200 metres Irena Kirszenstein
## 36 1964 Bronze 23.10 <NA> 200 metres Marilyn Black
## 37 1960 Gold 24.00 <NA> 200 metres Wilma Rudolph
## 38 1960 Silver 24.40 <NA> 200 metres Jutta Heine
## 39 1960 Bronze 24.70 <NA> 200 metres Dorothy Hyman
## 40 1956 Gold 23.40 =OR) 200 metres Betty Cuthbert
## 41 1956 Silver 23.70 <NA> 200 metres Christa Stubnick
## 42 1956 Bronze 23.80 <NA> 200 metres Marlene Matthews
## 43 1952 Gold 23.70 <NA> 200 metres Marjorie Jackson
## 44 1952 Silver 24.20 <NA> 200 metres Bertha Brouwer
## 45 1952 Bronze 24.20 <NA> 200 metres Nadezhda Khnykina-Dvalishvili
## 46 1948 Gold 24.40 <NA> 200 metres Fanny Blankers-Koen
## 47 1948 Silver 25.10 <NA> 200 metres Audrey Williamson
## 48 1948 Bronze 25.20 <NA> 200 metres Audrey Patterson
## Athlete.Country Host.City Host.Country
## 1 Jamaica Rio de Janeiro Brazil
## 2 Netherlands Rio de Janeiro Brazil
## 3 United States Rio de Janeiro Brazil
## 4 United States London Great Britain
## 5 Jamaica London Great Britain
## 6 United States London Great Britain
## 7 Bahamas Atlanta USA
## 8 Sri Lanka Atlanta USA
## 9 Jamaica Atlanta USA
## 10 France Atlanta USA
## 11 Jamaica Atlanta USA
## 12 Nigeria Atlanta USA
## 13 United States Barcelona Spain
## 14 Jamaica Barcelona Spain
## 15 Jamaica Barcelona Spain
## 16 Joyner United States Seoul South Korea
## 17 Jamaica Seoul South Korea
## 18 East Germany Seoul South Korea
## 19 United States Los Angeles USA
## 20 United States Los Angeles USA
## 21 Jamaica Los Angeles USA
## 22 East Germany Moscow Russia
## 23 Soviet Union Moscow Russia
## 24 Jamaica Moscow Russia
## 25 East Germany Montreal Canada
## 26 West Germany Montreal Canada
## 27 East Germany Montreal Canada
## 28 East Germany Munich Germany
## 29 Australia Munich Germany
## 30 Poland Munich Germany
## 31 Poland Mexico City Mexico
## 32 Australia Mexico City Mexico
## 33 Australia Mexico City Mexico
## 34 United States Tokyo Japan
## 35 Poland Tokyo Japan
## 36 Australia Tokyo Japan
## 37 United States Rome Italy
## 38 United Team of Germany Rome Italy
## 39 Great Britain Rome Italy
## 40 Australia Melbourne Australia
## 41 United Team of Germany Melbourne Australia
## 42 Australia Melbourne Australia
## 43 Australia Helsinki Finland
## 44 Netherlands Helsinki Finland
## 45 Soviet Union Helsinki Finland
## 46 Netherlands London Great Britain
## 47 Great Britain London Great Britain
## 48 United States London Great BritainMen’s 200 Meter Medals Over Time
men200m_graph <- oly_men_200m %>%
ggplot(aes(Year, Time, color = Medal))+
geom_point(alpha = 0.5, size = 3)+
geom_line()+
geom_point(data = oly_men_200m_record, aes(Year, Time), color = "turquoise", size = 3, alpha = 0.5)+
geom_rect(xmin=1939, xmax=1945, ymin=19.21, ymax=21.39, color = "grey", linetype = "dotted", alpha = 0)+
geom_vline(xintercept = 1967, linetype = "dotted", color = "grey", size = 0.75)+
labs(title = "Gold, Silver & Bronze Medals Over 100 Years",
subtitle = "Mens 200m Dash",
y = "Time (in seconds)")+
theme(panel.background = element_blank(),
plot.background = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
plot.title = element_text(family = "Courier"),
legend.title = element_text(family = "Courier"),
plot.subtitle = element_text(family = "Courier"),
axis.text = element_text(family = "Courier"),
legend.text = element_text(family = "Courier"),
legend.background = element_blank(),
axis.title = element_text(family = "Courier"),
legend.key = element_rect(fill = "white"))+
scale_color_manual(values = c("#FFB48C", "#EBD739", "#B5BCC2"))+
scale_x_continuous(breaks = c(1936, 1944, 1952, 1960, 1968, 1976, 1984, 1992, 2000, 2008, 2016),
labels = c("1936", "1944", "1952", "1960", "1968", "1976", "1984", "1992", "2000", "2008", "2016"))+
scale_y_continuous(breaks = c(19.2, 19.6, 20, 20.4, 20.8, 21.2),
labels = c("19.2", "19.6", "20", "20.4", "20.8", "21.2"),
limits = c(19.2, 21.4),
expand = c(0,0))+
geom_text(aes(1954, 19.35), label = "World War II", size = 3.8, family = "Courier", color = "grey")+
geom_text(aes(1976, 19.35), label = "PEDs Banned", size = 3.8, family = "Courier", color = "grey")
men200m_graph
Women’s 200 Meter Medals Over Time
women200m_graph <- oly_women_200m %>%
ggplot(aes(Year, Time, color = Medal))+
geom_point(alpha = 0.5, size = 3)+
geom_point(data = oly_women_200m_record, aes(Year, Time), color = "turquoise", size = 3, alpha = 0.5)+
geom_line()+
geom_vline(xintercept = 1967, linetype = "dotted", color = "grey", size = 0.75)+
labs(title = "Gold, Silver & Bronze Medals Over Time",
subtitle = "Womens 200m Dash",
y = "Time (in seconds)")+
theme(panel.background = element_blank(),
plot.background = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
plot.title = element_text(family = "Courier"),
legend.title = element_text(family = "Courier"),
plot.subtitle = element_text(family = "Courier"),
axis.text = element_text(family = "Courier"),
legend.text = element_text(family = "Courier"),
legend.background = element_blank(),
axis.title = element_text(family = "Courier"),
legend.key = element_rect(fill = "white"))+
scale_color_manual(values = c("#FFB48C", "#EBD739", "#B5BCC2"))+
scale_x_continuous(breaks = c(1948, 1956, 1962, 1970, 1976, 1984, 1992, 2000, 2008, 2016),
labels = c("1948", "1956", "1964", "1972", "1980", "1988", "1996", "2004", "2012", "2020"))+
geom_text(aes(1975, 21.5), label = "PEDs Banned", size = 3.8, family = "Courier", color = "grey")
women200m_graph
library(gridExtra)
grid.arrange(arrangeGrob(men100m_graph, men200m_graph, ncol=2, widths=c(2, 2)),
arrangeGrob(women100m_graph, women200m_graph))