Working with the two JSON files available through the API at nobelprize.org, ask and answer 4 interesting questions.

library(tidyverse)
library(RCurl)
library(rjson)
library(data.table)
library(httr)
library(reshape2)
library(htmlwidgets)
library(kableExtra)

Nobel Prize API

prize_url <- "https://raw.githubusercontent.com/moham6839/Extra_Credit_JSON/main/Nobel_Prize.json"

prize_json_df <- jsonlite::fromJSON(prize_url) 
new_prize_df <- prize_json_df$prizes
prize_df <- as.data.frame(new_prize_df)
DT::datatable(prize_df, filter="top")
new_prize_df <- unnest(prize_df)
  kbl(head(new_prize_df, n = 10)) %>%
  kable_styling(latex_options="scale_down", c("striped", "hover", "condensed", full_width=F))
year category id firstname surname motivation share overallMotivation
2022 chemistry 1015 Carolyn Bertozzi “for the development of click chemistry and bioorthogonal chemistry” 3 NA
2022 chemistry 1016 Morten Meldal “for the development of click chemistry and bioorthogonal chemistry” 3 NA
2022 chemistry 743 Barry Sharpless “for the development of click chemistry and bioorthogonal chemistry” 3 NA
2022 economics 1021 Ben Bernanke “for research on banks and financial crises” 3 NA
2022 economics 1022 Douglas Diamond “for research on banks and financial crises” 3 NA
2022 economics 1023 Philip Dybvig “for research on banks and financial crises” 3 NA
2022 literature 1017 Annie Ernaux “for the courage and clinical acuity with which she uncovers the roots, estrangements and collective restraints of personal memory” 1 NA
2022 peace 1018 Ales Bialiatski “The Peace Prize laureates represent civil society in their home countries. They have for many years promoted the right to criticise power and protect the fundamental rights of citizens. They have made an outstanding effort to document war crimes, human right abuses and the abuse of power. Together they demonstrate the significance of civil society for peace and democracy.” 3 NA
2022 peace 1019 Memorial NA “The Peace Prize laureates represent civil society in their home countries. They have for many years promoted the right to criticise power and protect the fundamental rights of citizens. They have made an outstanding effort to document war crimes, human right abuses and the abuse of power. Together they demonstrate the significance of civil society for peace and democracy.” 3 NA
2022 peace 1020 Center for Civil Liberties NA “The Peace Prize laureates represent civil society in their home countries. They have for many years promoted the right to criticise power and protect the fundamental rights of citizens. They have made an outstanding effort to document war crimes, human right abuses and the abuse of power. Together they demonstrate the significance of civil society for peace and democracy.” 3 NA

Nobel Laureates API

laureate_url <- "https://raw.githubusercontent.com/moham6839/Extra_Credit_JSON/main/Nobel_Laureate.json"
laureate_json_df <- jsonlite::fromJSON(laureate_url) 
new_laureate_df <- laureate_json_df$laureates
laureate_df <- as.data.frame(new_laureate_df)
DT::datatable(laureate_df, filter="top")
colnames(laureate_df)
##  [1] "id"              "firstname"       "surname"         "born"           
##  [5] "died"            "bornCountry"     "bornCountryCode" "bornCity"       
##  [9] "diedCountry"     "diedCountryCode" "diedCity"        "gender"         
## [13] "prizes"
new_laureate_df <- unnest(laureate_df)
new_laureate_df2 <- unnest_wider(new_laureate_df, `affiliations`, names_sep = "_")
  kbl(head(new_laureate_df2, n = 10)) %>%
  kable_styling(latex_options="scale_down", c("striped", "hover", "condensed", full_width=F))
id firstname surname born died bornCountry bornCountryCode bornCity diedCountry diedCountryCode diedCity gender year category share motivation affiliations_name affiliations_city affiliations_country affiliations_1 overallMotivation
1 Wilhelm Conrad Röntgen 1845-03-27 1923-02-10 Prussia (now Germany) DE Lennep (now Remscheid) Germany DE Munich male 1901 physics 1 “in recognition of the extraordinary services he has rendered by the discovery of the remarkable rays subsequently named after him” Munich University Munich Germany NA NA
2 Hendrik A. Lorentz 1853-07-18 1928-02-04 the Netherlands NL Arnhem the Netherlands NL NA male 1902 physics 2 “in recognition of the extraordinary service they rendered by their researches into the influence of magnetism upon radiation phenomena” Leiden University Leiden the Netherlands NA NA
3 Pieter Zeeman 1865-05-25 1943-10-09 the Netherlands NL Zonnemaire the Netherlands NL Amsterdam male 1902 physics 2 “in recognition of the extraordinary service they rendered by their researches into the influence of magnetism upon radiation phenomena” Amsterdam University Amsterdam the Netherlands NA NA
4 Henri Becquerel 1852-12-15 1908-08-25 France FR Paris France FR NA male 1903 physics 2 “in recognition of the extraordinary services he has rendered by his discovery of spontaneous radioactivity” École Polytechnique Paris France NA NA
5 Pierre Curie 1859-05-15 1906-04-19 France FR Paris France FR Paris male 1903 physics 4 “in recognition of the extraordinary services they have rendered by their joint researches on the radiation phenomena discovered by Professor Henri Becquerel” École municipale de physique et de chimie industrielles (Municipal School of Industrial Physics and Chemistry) Paris France NA NA
6 Marie Curie 1867-11-07 1934-07-04 Russian Empire (now Poland) PL Warsaw France FR Sallanches female 1903 physics 4 “in recognition of the extraordinary services they have rendered by their joint researches on the radiation phenomena discovered by Professor Henri Becquerel” NULL NULL NULL NA NA
6 Marie Curie 1867-11-07 1934-07-04 Russian Empire (now Poland) PL Warsaw France FR Sallanches female 1911 chemistry 1 “in recognition of her services to the advancement of chemistry by the discovery of the elements radium and polonium, by the isolation of radium and the study of the nature and compounds of this remarkable element” Sorbonne University Paris France NA NA
8 Lord Rayleigh 1842-11-12 1919-06-30 United Kingdom GB Langford Grove, Maldon, Essex United Kingdom GB NA male 1904 physics 1 “for his investigations of the densities of the most important gases and for his discovery of argon in connection with these studies” Royal Institution of Great Britain London United Kingdom NA NA
9 Philipp Lenard 1862-06-07 1947-05-20 Hungary (now Slovakia) SK Pressburg (now Bratislava) Germany DE Messelhausen male 1905 physics 1 “for his work on cathode rays” Kiel University Kiel Germany NA NA
10 J.J. Thomson 1856-12-18 1940-08-30 United Kingdom GB Cheetham Hill United Kingdom GB Cambridge male 1906 physics 1 “in recognition of the great merits of his theoretical and experimental investigations on the conduction of electricity by gases” University of Cambridge Cambridge United Kingdom NA NA
  1. Which country has the most Nobel Laureates?
most_laureates <- new_laureate_df2 %>%
  filter(!is.na(bornCountry)) %>%
  group_by(bornCountry) %>%
  summarise(count=n()) %>%
  arrange(desc(count))
pct_most_laureates <- most_laureates %>%
  mutate(pct_breakdown = 100 * (most_laureates$count / nrow(new_laureate_df2))) %>%
  top_n(20) %>%
  arrange(desc(pct_breakdown))
pct_most_laureates
## # A tibble: 21 × 3
##    bornCountry     count pct_breakdown
##    <chr>           <int>         <dbl>
##  1 USA               289         29.2 
##  2 United Kingdom     90          9.10
##  3 Germany            67          6.77
##  4 France             56          5.66
##  5 Sweden             30          3.03
##  6 Japan              28          2.83
##  7 Canada             21          2.12
##  8 Switzerland        19          1.92
##  9 the Netherlands    19          1.92
## 10 Italy              18          1.82
## # … with 11 more rows
ggplot(pct_most_laureates, aes(x=reorder(bornCountry, -pct_breakdown), y=pct_breakdown)) +
  geom_bar(stat="identity", position="dodge") +
  coord_flip()

Close to 30% of all Nobel Laureates were born in the U.S., followed by Great Britain and Germany.

  1. What is the percentage of Nobel Laureates that are still alive?
still_alive <- new_laureate_df2 %>%
  filter(died == "0000-00-00") %>%
  group_by(died) %>%
  summarise(count=n()) %>%
  arrange(desc(died))
still_alive
## # A tibble: 1 × 2
##   died       count
##   <chr>      <int>
## 1 0000-00-00   331
pct_still_alive <- (still_alive$count / nrow(new_laureate_df2)) * 100
pct_still_alive
## [1] 33.46815

Approximately 33% of Nobel Laureates are still alive.

  1. Which category has the most female Nobel Laureates winners?
category_breakdown <- new_laureate_df2 %>%
  filter(gender == "female") %>%
  group_by(category) %>%
  summarise(count=n()) %>%
  arrange(desc(count))
category_breakdown
## # A tibble: 6 × 2
##   category   count
##   <chr>      <int>
## 1 peace         18
## 2 literature    17
## 3 medicine      12
## 4 chemistry      8
## 5 physics        4
## 6 economics      2
category_breakdown %>%
ggplot(aes(x = reorder(category, -count), y=count)) +
  geom_bar(stat='identity', position='dodge', width=0.5) +
  labs(title = "Female Nobel Laureates",
       y="Number of Female Nobel Laureates",
       x="Category")

The category that has the most female Nobel Laureates is Peace, followed by Literature and Medicine.

  1. What is the percentage of the Nobel Prize awards that had shared winners?
shared_prize <- new_prize_df %>%
  count(share) 
shared_prize
## # A tibble: 4 × 2
##   share     n
##   <chr> <int>
## 1 1       355
## 2 2       329
## 3 3       231
## 4 4        74
shared_prizes2 <- shared_prize %>%
  mutate(pct_shared = 100 * (shared_prize$n / nrow(new_prize_df))) %>%
  arrange(desc(pct_shared))
shared_prizes2
## # A tibble: 4 × 3
##   share     n pct_shared
##   <chr> <int>      <dbl>
## 1 1       355      35.9 
## 2 2       329      33.3 
## 3 3       231      23.4 
## 4 4        74       7.48
shared_prizes2 %>%
ggplot(aes(x = reorder(share, -pct_shared), y=pct_shared)) +
  geom_bar(stat='identity', position='dodge', width=0.5) +
  labs(title = "Nobel Prizes Winners",
       y="Percentage Breakdown",
       x="Number of Times Shared")

shared_breakdown <- new_prize_df %>%
  summarise(single = sum(share == 1),
            multiple = sum(share > 1))
shared_breakdown
## # A tibble: 1 × 2
##   single multiple
##    <int>    <int>
## 1    355      634
pct_shared_winners <- (shared_breakdown$multiple / sum(shared_breakdown)) * 100
pct_shared_winners
## [1] 64.10516

Approximately 64% of all Nobel Prizes were shared by at least 2 or more people.