DEM 7273 - Home_work - Lab_session
Samson Olowolaju
Sept.09, 2020
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Question a: Create a character & a numerical variable.
gender=c("f","f","f", NA, "m","m","m","m")
Income=c(500 ,100, 300, 700, 100, 200, 530, 400 )
Height=c(5.6, 8.9, 6, 5.8, 7, 6.6, 9, 10 )
print(gender)## [1] "f" "f" "f" NA "m" "m" "m" "m"is.character(gender)## [1] TRUEReplacing a missing obersavation (NA) in a variable
gender=ifelse(test = is.na(gender)==T, yes = "f", no = gender)
print(gender)## [1] "f" "f" "f" "f" "m" "m" "m" "m"Combine vectors(Variables) to create a dataframe(dataset)
Data_new=data.frame(gender=c("f","f","f", NA, "m","m","m","m"),
Income=c(500 ,100, 300, 700, 100, 200, 530, 400 ),
Height=c(5.6, 8.9, 6, 5.8, 7, 6.6, 9, 10 ))
#check the dimension of the data.
dim(Data_new)## [1] 8 3#print the data set(data frame).
print(Data_new)## gender Income Height
## 1 f 500 5.6
## 2 f 100 8.9
## 3 f 300 6.0
## 4 <NA> 700 5.8
## 5 m 100 7.0
## 6 m 200 6.6
## 7 m 530 9.0
## 8 m 400 10.0Loading dataset from Stata data file (.dta file)
library(haven)
#set working directory.
setwd("~/Documents/R_programming")
#Give a name to the data to be imported and import it from the set directory.
bexar_covid=read_dta("bexar-covid.dta")Extracting data directly from packages
#install.packages("covid19.analytics")
library(covid19.analytics)## Warning: package 'covid19.analytics' was built under R version 4.0.2#covid19.genomic.data()
data<-covid19.data("ts-confirmed")## Data being read from JHU/CCSE repository## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Reading data from https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv## Data retrieved on 2020-09-09 18:00:56 || Range of dates on data: 2020-01-22--2020-09-08 | Nbr of records: 266## --------------------------------------------------------------------------------# specify a location
report.summary(geo.loc="NorthAmerica")## Data being read from JHU/CCSE repository## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Reading data from https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv## Data retrieved on 2020-09-09 18:00:57 || Range of dates on data: 2020-01-22--2020-09-08 | Nbr of records: 266## --------------------------------------------------------------------------------## >>> checking data integrity...## No critical issues have been found.## >>> checking data consistency...## Warning in consistency.check(data, n0, nf, datasetName, details): Inconsistency
## of type.II in ts-confirmed data detected -- 51 records (out of 266) show
## inconsistencies in the data...## [1] "NORTHAMERICA"
## [1] "CANADA" "US" "MEXICO"## Warning in if (!(toupper(geo.ind) %in% provinces.states) & !(toupper(geo.ind)
## %in% : the condition has length > 1 and only the first element will be used## ################################################################################
## ##### TS-CONFIRMED Cases -- Data dated: 2020-09-08 :: 2020-09-09 18:00:58
## ################################################################################
## Number of Countries/Regions reported: 3
## Number of Cities/Provinces reported: 15
## Unique number of distinct geographical locations combined: 16
## --------------------------------------------------------------------------------
## For selected locations ts-confirmed Totals: 7105626
## --------------------------------------------------------------------------------
## Country.Region Province.State Totals RelPerc GlobalPerc LastDayChange t-2 t-3 t-7 t-14 t-30
## 1 US 6327009 89.04 22.95 26387 24257 31395 39670 44109 49536
## 2 Mexico 642860 9.05 2.33 5351 3486 4614 4921 5267 5558
## 3 Canada Quebec 63876 0.90 0.23 163 216 205 132 142 156
## 4 Canada Ontario 45545 0.64 0.17 231 158 137 154 117 120
## 5 Canada Alberta 15093 0.21 0.05 619 0 0 114 127 257
## 6 Canada British Columbia 6591 0.09 0.02 429 0 0 104 62 131
## 7 Canada Saskatchewan 1669 0.02 0.01 7 11 8 2 3 5
## 8 Canada Manitoba 1349 0.02 0.00 11 15 29 12 25 16
## 9 Canada Nova Scotia 1086 0.02 0.00 0 1 0 0 1 0
## 10 Canada Newfoundland and Labrador 270 0.00 0.00 0 0 0 0 0 1
## --------------------------------------------------------------------------------
## Global Perc. Average: 1.61 (sd: 5.72)
## Global Perc. Average in top 10 : 2.58 (sd: 7.19)
## --------------------------------------------------------------------------------
## ================================================================================## Data being read from JHU/CCSE repository## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Reading data from https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv## Data retrieved on 2020-09-09 18:00:58 || Range of dates on data: 2020-01-22--2020-09-08 | Nbr of records: 266## --------------------------------------------------------------------------------## >>> checking data integrity...## No critical issues have been found.## >>> checking data consistency...## Warning in consistency.check(data, n0, nf, datasetName, details): Inconsistency
## of type.II in ts-deaths data detected -- 39 records (out of 266) show
## inconsistencies in the data...
## [1] "CANADA"
## [1] "US"
## [1] "MEXICO"
## ################################################################################
## ##### TS-DEATHS Cases -- Data dated: 2020-09-08 :: 2020-09-09 18:00:59
## ################################################################################
## Number of Countries/Regions reported: 3
## Number of Cities/Provinces reported: 15
## Unique number of distinct geographical locations combined: 16
## --------------------------------------------------------------------------------
## For selected locations ts-deaths Totals: 267340
## --------------------------------------------------------------------------------
## Country.Region Province.State Totals Perc LastDayChange t-2 t-3 t-7 t-14 t-30
## 1 US 189653 3.00 445 267 403 1056 1225 527
## 2 Mexico 68484 10.65 703 223 232 575 626 705
## 3 Canada Quebec 5770 9.03 0 1 0 2 1 1
## 4 Canada Ontario 2862 6.28 0 1 2 0 3 0
## 5 Canada Alberta 247 1.64 5 0 0 1 0 5
## 6 Canada British Columbia 213 3.23 2 0 0 0 0 0
## 7 Canada Nova Scotia 65 5.99 0 0 0 0 0 0
## 8 Canada Saskatchewan 24 1.44 0 0 0 0 1 0
## 9 Canada Manitoba 16 1.19 0 0 0 0 0 0
## 10 Canada Newfoundland and Labrador 3 1.11 0 0 0 0 0 0
## --------------------------------------------------------------------------------
## --------------------------------------------------------------------------------
## ================================================================================## Data being read from JHU/CCSE repository## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Reading data from https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv## Data retrieved on 2020-09-09 18:00:59 || Range of dates on data: 2020-01-22--2020-09-08 | Nbr of records: 253## --------------------------------------------------------------------------------## >>> checking data integrity...## No critical issues have been found.## >>> checking data consistency...## Warning in consistency.check(data, n0, nf, datasetName, details): Inconsistency
## of type.II in ts-recovered data detected -- 74 records (out of 253) show
## inconsistencies in the data...
## [1] "CANADA"
## [1] "US"
## [1] "MEXICO"
## ################################################################################
## ##### TS-RECOVERED Cases -- Data dated: 2020-09-08 :: 2020-09-09 18:01:00
## ################################################################################
## Number of Countries/Regions reported: 3
## Number of Cities/Provinces reported: 1
## Unique number of distinct geographical locations combined: 3
## --------------------------------------------------------------------------------
## For selected locations ts-recovered Totals: 3013672
## --------------------------------------------------------------------------------
## Country.Region Province.State Totals LastDayChange t-2 t-3 t-7 t-14 t-30
## 1 US 2359111 25560 17556 13808 29094 30766 13891
## 2 Mexico 535141 3807 6665 5825 2819 2991 8728
## 3 Canada 119420 1034 194 224 434 411 2630
## --------------------------------------------------------------------------------
## --------------------------------------------------------------------------------
## ================================================================================## Data being read from JHU/CCSE repository## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Reading data from https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_daily_reports/09-08-2020.csv
## [1] "CANADA"
## [1] "US"
## [1] "MEXICO"
## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY CONFIRMED Cases -- Data dated: 2020-09-09 :: 2020-09-09 18:01:01
## ############################################################################################################################################
## Number of Countries/Regions reported: 3
## Number of Cities/Provinces reported: 102
## Unique number of distinct geographical locations combined: 3316
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Los Angeles, California, US 249241 0.90 6036 2.42 0 0.00 243205 97.58
## 2 Miami-Dade, Florida, US 162026 0.59 2666 1.65 0 0.00 159360 98.35
## 3 Maricopa, Arizona, US 136040 0.49 3093 2.27 0 0.00 132947 97.73
## 4 Cook, Illinois, US 132072 0.48 5098 3.86 0 0.00 126974 96.14
## 5 Harris, Texas, US 112039 0.41 2342 2.09 0 0.00 109697 97.91
## 6 Ciudad de Mexico, Mexico 106769 0.39 10986 10.29 88039 82.46 7744 7.25
## 7 Dallas, Texas, US 74100 0.27 1011 1.36 0 0.00 73089 98.64
## 8 Broward, Florida, US 73556 0.27 1234 1.68 0 0.00 72322 98.32
## 9 Mexico, Mexico 71618 0.26 8367 11.68 59697 83.35 3554 4.96
## 10 Queens, New York, US 70766 0.26 7235 10.22 0 0.00 63531 89.78
## ============================================================================================================================================## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY DEATHS Cases -- Data dated: 2020-09-09 :: 2020-09-09 18:01:01
## ############################################################################################################################################
## Number of Countries/Regions reported: 3
## Number of Cities/Provinces reported: 102
## Unique number of distinct geographical locations combined: 3316
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Ciudad de Mexico, Mexico 106769 0.39 10986 10.29 88039 82.46 7744 7.25
## 2 Mexico, Mexico 71618 0.26 8367 11.68 59697 83.35 3554 4.96
## 3 Kings, New York, US 65757 0.24 7298 11.10 0 0.00 58459 88.90
## 4 Queens, New York, US 70766 0.26 7235 10.22 0 0.00 63531 89.78
## 5 Los Angeles, California, US 249241 0.90 6036 2.42 0 0.00 243205 97.58
## 6 Quebec, Canada 63876 0.23 5770 9.03 56162 87.92 1944 3.04
## 7 Cook, Illinois, US 132072 0.48 5098 3.86 0 0.00 126974 96.14
## 8 Bronx, New York, US 51984 0.19 4927 9.48 0 0.00 47057 90.52
## 9 Veracruz, Mexico 29928 0.11 3835 12.81 24718 82.59 1375 4.59
## 10 Puebla, Mexico 28357 0.10 3715 13.10 23459 82.73 1183 4.17
## ============================================================================================================================================## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY RECOVERED Cases -- Data dated: 2020-09-09 :: 2020-09-09 18:01:01
## ############################################################################################################################################
## Number of Countries/Regions reported: 3
## Number of Cities/Provinces reported: 102
## Unique number of distinct geographical locations combined: 3316
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Recovered, US 0 0.00 0 NaN 2359111 Inf -2359111 -Inf
## 2 Ciudad de Mexico, Mexico 106769 0.39 10986 10.29 88039 82.46 7744 7.25
## 3 Mexico, Mexico 71618 0.26 8367 11.68 59697 83.35 3554 4.96
## 4 Quebec, Canada 63876 0.23 5770 9.03 56162 87.92 1944 3.04
## 5 Ontario, Canada 45545 0.17 2862 6.28 41050 90.13 1633 3.59
## 6 Guanajuato, Mexico 34441 0.12 2361 6.86 29181 84.73 2899 8.42
## 7 Nuevo Leon, Mexico 32062 0.12 2511 7.83 26673 83.19 2878 8.98
## 8 Tabasco, Mexico 29531 0.11 2672 9.05 25767 87.25 1092 3.70
## 9 Veracruz, Mexico 29928 0.11 3835 12.81 24718 82.59 1375 4.59
## 10 Puebla, Mexico 28357 0.10 3715 13.10 23459 82.73 1183 4.17
## ============================================================================================================================================## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY ACTIVE Cases -- Data dated: 2020-09-09 :: 2020-09-09 18:01:01
## ############################################################################################################################################
## Number of Countries/Regions reported: 3
## Number of Cities/Provinces reported: 102
## Unique number of distinct geographical locations combined: 3316
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Los Angeles, California, US 249241 0.90 6036 2.42 0 0 243205 97.58
## 2 Miami-Dade, Florida, US 162026 0.59 2666 1.65 0 0 159360 98.35
## 3 Maricopa, Arizona, US 136040 0.49 3093 2.27 0 0 132947 97.73
## 4 Cook, Illinois, US 132072 0.48 5098 3.86 0 0 126974 96.14
## 5 Harris, Texas, US 112039 0.41 2342 2.09 0 0 109697 97.91
## 6 Dallas, Texas, US 74100 0.27 1011 1.36 0 0 73089 98.64
## 7 Broward, Florida, US 73556 0.27 1234 1.68 0 0 72322 98.32
## 8 Queens, New York, US 70766 0.26 7235 10.22 0 0 63531 89.78
## 9 Clark, Nevada, US 61543 0.22 1206 1.96 0 0 60337 98.04
## 10 Kings, New York, US 65757 0.24 7298 11.10 0 0 58459 88.90
## ============================================================================================================================================## Confirmed Deaths Recovered Active
## Totals
## 7105626 267340 3013672 NA
## Average
## 2142.83 80.62 908.83 NA
## Standard Deviation
## 8696.44 440.75 41049.15 NA
##
##
## * Statistical estimators computed considering 3316 independent reported entries## >>> checking data integrity...## No critical issues have been found.
##
##
## ********************************************************************************
## ******************************** OVERALL SUMMARY********************************
## ********************************************************************************
## **** Time Series CANADA,US,MEXICO TOTS ****
## ts-confirmed ts-deaths ts-recovered
## 7105626 267340 3013672
## 3.76% 42.41%
## **** Time Series CANADA,US,MEXICO AVGS ****
## ts-confirmed ts-deaths ts-recovered
## 444101.62 16708.75 1004557.33
## 3.76% 226.2%
## **** Time Series CANADA,US,MEXICO SDS ****
## ts-confirmed ts-deaths ts-recovered
## 1576813.74 49148.07 1191351.21
## 3.12% 75.55%
##
##
## * Statistical estimators computed considering 16/16/3 independent reported entries per case-type
## ********************************************************************************report.summary(geo.loc="US")## Data being read from JHU/CCSE repository## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Reading data from https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv## Data retrieved on 2020-09-09 18:01:02 || Range of dates on data: 2020-01-22--2020-09-08 | Nbr of records: 266## --------------------------------------------------------------------------------## >>> checking data integrity...## No critical issues have been found.## >>> checking data consistency...## Warning in consistency.check(data, n0, nf, datasetName, details): Inconsistency
## of type.II in ts-confirmed data detected -- 51 records (out of 266) show
## inconsistencies in the data...## [1] "US"
## ################################################################################
## ##### TS-CONFIRMED Cases -- Data dated: 2020-09-08 :: 2020-09-09 18:01:03
## ################################################################################
## Number of Countries/Regions reported: 1
## Number of Cities/Provinces reported: 1
## Unique number of distinct geographical locations combined: 1
## --------------------------------------------------------------------------------
## For selected locations ts-confirmed Totals: 6327009
## --------------------------------------------------------------------------------
## Country.Region Province.State Totals RelPerc GlobalPerc LastDayChange t-2 t-3 t-7 t-14 t-30
## 1 US 6327009 100 22.95 26387 24257 31395 39670 44109 49536
## --------------------------------------------------------------------------------
## Global Perc. Average: 22.95 (sd: NA)
## Global Perc. Average in top 1 : 22.95 (sd: NA)
## --------------------------------------------------------------------------------
## ================================================================================## Data being read from JHU/CCSE repository## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Reading data from https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv## Data retrieved on 2020-09-09 18:01:03 || Range of dates on data: 2020-01-22--2020-09-08 | Nbr of records: 266## --------------------------------------------------------------------------------## >>> checking data integrity...## No critical issues have been found.## >>> checking data consistency...## Warning in consistency.check(data, n0, nf, datasetName, details): Inconsistency
## of type.II in ts-deaths data detected -- 39 records (out of 266) show
## inconsistencies in the data...
## [1] "US"
## ################################################################################
## ##### TS-DEATHS Cases -- Data dated: 2020-09-08 :: 2020-09-09 18:01:04
## ################################################################################
## Number of Countries/Regions reported: 1
## Number of Cities/Provinces reported: 1
## Unique number of distinct geographical locations combined: 1
## --------------------------------------------------------------------------------
## For selected locations ts-deaths Totals: 189653
## --------------------------------------------------------------------------------
## Country.Region Province.State Totals Perc LastDayChange t-2 t-3 t-7 t-14 t-30
## 1 US 189653 3 445 267 403 1056 1225 527
## --------------------------------------------------------------------------------
## --------------------------------------------------------------------------------
## ================================================================================## Data being read from JHU/CCSE repository## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Reading data from https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv## Data retrieved on 2020-09-09 18:01:04 || Range of dates on data: 2020-01-22--2020-09-08 | Nbr of records: 253## --------------------------------------------------------------------------------## >>> checking data integrity...## No critical issues have been found.## >>> checking data consistency...## Warning in consistency.check(data, n0, nf, datasetName, details): Inconsistency
## of type.II in ts-recovered data detected -- 74 records (out of 253) show
## inconsistencies in the data...
## [1] "US"
## ################################################################################
## ##### TS-RECOVERED Cases -- Data dated: 2020-09-08 :: 2020-09-09 18:01:05
## ################################################################################
## Number of Countries/Regions reported: 1
## Number of Cities/Provinces reported: 1
## Unique number of distinct geographical locations combined: 1
## --------------------------------------------------------------------------------
## For selected locations ts-recovered Totals: 2359111
## --------------------------------------------------------------------------------
## Country.Region Province.State Totals Perc LastDayChange t-2 t-3 t-7 t-14 t-30
## 1 US 2359111 37.29 25560 17556 13808 29094 30766 13891
## --------------------------------------------------------------------------------
## --------------------------------------------------------------------------------
## ================================================================================## Data being read from JHU/CCSE repository## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Reading data from https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_daily_reports/09-08-2020.csv
## [1] "US"
## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY CONFIRMED Cases -- Data dated: 2020-09-09 :: 2020-09-09 18:01:06
## ############################################################################################################################################
## Number of Countries/Regions reported: 1
## Number of Cities/Provinces reported: 58
## Unique number of distinct geographical locations combined: 3270
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Los Angeles, California, US 249241 0.90 6036 2.42 0 0 243205 97.58
## 2 Miami-Dade, Florida, US 162026 0.59 2666 1.65 0 0 159360 98.35
## 3 Maricopa, Arizona, US 136040 0.49 3093 2.27 0 0 132947 97.73
## 4 Cook, Illinois, US 132072 0.48 5098 3.86 0 0 126974 96.14
## 5 Harris, Texas, US 112039 0.41 2342 2.09 0 0 109697 97.91
## 6 Dallas, Texas, US 74100 0.27 1011 1.36 0 0 73089 98.64
## 7 Broward, Florida, US 73556 0.27 1234 1.68 0 0 72322 98.32
## 8 Queens, New York, US 70766 0.26 7235 10.22 0 0 63531 89.78
## 9 Kings, New York, US 65757 0.24 7298 11.10 0 0 58459 88.90
## 10 Clark, Nevada, US 61543 0.22 1206 1.96 0 0 60337 98.04
## ============================================================================================================================================## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY DEATHS Cases -- Data dated: 2020-09-09 :: 2020-09-09 18:01:06
## ############################################################################################################################################
## Number of Countries/Regions reported: 1
## Number of Cities/Provinces reported: 58
## Unique number of distinct geographical locations combined: 3270
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Kings, New York, US 65757 0.24 7298 11.10 0 0 58459 88.90
## 2 Queens, New York, US 70766 0.26 7235 10.22 0 0 63531 89.78
## 3 Los Angeles, California, US 249241 0.90 6036 2.42 0 0 243205 97.58
## 4 Cook, Illinois, US 132072 0.48 5098 3.86 0 0 126974 96.14
## 5 Bronx, New York, US 51984 0.19 4927 9.48 0 0 47057 90.52
## 6 New York, New York, US 32461 0.12 3175 9.78 0 0 29286 90.22
## 7 Maricopa, Arizona, US 136040 0.49 3093 2.27 0 0 132947 97.73
## 8 Wayne, Michigan, US 32376 0.12 2897 8.95 0 0 29479 91.05
## 9 Miami-Dade, Florida, US 162026 0.59 2666 1.65 0 0 159360 98.35
## 10 Harris, Texas, US 112039 0.41 2342 2.09 0 0 109697 97.91
## ============================================================================================================================================## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY RECOVERED Cases -- Data dated: 2020-09-09 :: 2020-09-09 18:01:06
## ############################################################################################################################################
## Number of Countries/Regions reported: 1
## Number of Cities/Provinces reported: 58
## Unique number of distinct geographical locations combined: 3270
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Recovered, US 0 0.00 0 NaN 2359111 Inf -2359111 -Inf
## 2 Autauga, Alabama, US 1385 0.01 23 1.66 0 0 1362 98.34
## 3 Baldwin, Alabama, US 4609 0.02 42 0.91 0 0 4567 99.09
## 4 Barbour, Alabama, US 617 0.00 7 1.13 0 0 610 98.87
## 5 Bibb, Alabama, US 562 0.00 6 1.07 0 0 556 98.93
## 6 Blount, Alabama, US 1071 0.00 12 1.12 0 0 1059 98.88
## 7 Bullock, Alabama, US 545 0.00 13 2.39 0 0 532 97.61
## 8 Butler, Alabama, US 859 0.00 37 4.31 0 0 822 95.69
## 9 Calhoun, Alabama, US 2602 0.01 31 1.19 0 0 2571 98.81
## 10 Chambers, Alabama, US 857 0.00 40 4.67 0 0 817 95.33
## ============================================================================================================================================## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY ACTIVE Cases -- Data dated: 2020-09-09 :: 2020-09-09 18:01:06
## ############################################################################################################################################
## Number of Countries/Regions reported: 1
## Number of Cities/Provinces reported: 58
## Unique number of distinct geographical locations combined: 3270
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Los Angeles, California, US 249241 0.90 6036 2.42 0 0 243205 97.58
## 2 Miami-Dade, Florida, US 162026 0.59 2666 1.65 0 0 159360 98.35
## 3 Maricopa, Arizona, US 136040 0.49 3093 2.27 0 0 132947 97.73
## 4 Cook, Illinois, US 132072 0.48 5098 3.86 0 0 126974 96.14
## 5 Harris, Texas, US 112039 0.41 2342 2.09 0 0 109697 97.91
## 6 Dallas, Texas, US 74100 0.27 1011 1.36 0 0 73089 98.64
## 7 Broward, Florida, US 73556 0.27 1234 1.68 0 0 72322 98.32
## 8 Queens, New York, US 70766 0.26 7235 10.22 0 0 63531 89.78
## 9 Clark, Nevada, US 61543 0.22 1206 1.96 0 0 60337 98.04
## 10 Kings, New York, US 65757 0.24 7298 11.10 0 0 58459 88.90
## ============================================================================================================================================## Confirmed Deaths Recovered Active
## Totals
## 6327009 189653 2359111 NA
## Average
## 1934.87 58 721.44 NA
## Standard Deviation
## 8222.09 309.24 41254.8 NA
##
##
## * Statistical estimators computed considering 3270 independent reported entries## >>> checking data integrity...## No critical issues have been found.
##
##
## ********************************************************************************
## ******************************** OVERALL SUMMARY********************************
## ********************************************************************************
## **** Time Series US TOTS ****
## ts-confirmed ts-deaths ts-recovered
## 6327009 189653 2359111
## 3% 37.29%
## **** Time Series US AVGS ****
## ts-confirmed ts-deaths ts-recovered
## 6327009 189653 2359111
## 3% 37.29%
## **** Time Series US SDS ****
## ts-confirmed ts-deaths ts-recovered
## NA NA NA
## NA% NA%
##
##
## * Statistical estimators computed considering 1/1/1 independent reported entries per case-type
## ********************************************************************************report.summary(geo.loc="Nigeria")## Data being read from JHU/CCSE repository## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Reading data from https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv## Data retrieved on 2020-09-09 18:01:06 || Range of dates on data: 2020-01-22--2020-09-08 | Nbr of records: 266## --------------------------------------------------------------------------------## >>> checking data integrity...## No critical issues have been found.## >>> checking data consistency...## Warning in consistency.check(data, n0, nf, datasetName, details): Inconsistency
## of type.II in ts-confirmed data detected -- 51 records (out of 266) show
## inconsistencies in the data...## [1] "NIGERIA"
## ################################################################################
## ##### TS-CONFIRMED Cases -- Data dated: 2020-09-08 :: 2020-09-09 18:01:07
## ################################################################################
## Number of Countries/Regions reported: 1
## Number of Cities/Provinces reported: 1
## Unique number of distinct geographical locations combined: 1
## --------------------------------------------------------------------------------
## For selected locations ts-confirmed Totals: 55456
## --------------------------------------------------------------------------------
## Country.Region Province.State Totals RelPerc GlobalPerc LastDayChange t-2 t-3 t-7 t-14 t-30
## 1 Nigeria 55456 100 0.2 296 155 100 216 221 290
## --------------------------------------------------------------------------------
## Global Perc. Average: 0.2 (sd: NA)
## Global Perc. Average in top 1 : 0.2 (sd: NA)
## --------------------------------------------------------------------------------
## ================================================================================## Data being read from JHU/CCSE repository## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Reading data from https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv## Data retrieved on 2020-09-09 18:01:08 || Range of dates on data: 2020-01-22--2020-09-08 | Nbr of records: 266## --------------------------------------------------------------------------------## >>> checking data integrity...## No critical issues have been found.## >>> checking data consistency...## Warning in consistency.check(data, n0, nf, datasetName, details): Inconsistency
## of type.II in ts-deaths data detected -- 39 records (out of 266) show
## inconsistencies in the data...
## [1] "NIGERIA"
## ################################################################################
## ##### TS-DEATHS Cases -- Data dated: 2020-09-08 :: 2020-09-09 18:01:09
## ################################################################################
## Number of Countries/Regions reported: 1
## Number of Cities/Provinces reported: 1
## Unique number of distinct geographical locations combined: 1
## --------------------------------------------------------------------------------
## For selected locations ts-deaths Totals: 1067
## --------------------------------------------------------------------------------
## Country.Region Province.State Totals Perc LastDayChange t-2 t-3 t-7 t-14 t-30
## 1 Nigeria 1067 1.92 6 4 3 4 3 5
## --------------------------------------------------------------------------------
## --------------------------------------------------------------------------------
## ================================================================================## Data being read from JHU/CCSE repository## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Reading data from https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv## Data retrieved on 2020-09-09 18:01:09 || Range of dates on data: 2020-01-22--2020-09-08 | Nbr of records: 253## --------------------------------------------------------------------------------## >>> checking data integrity...## No critical issues have been found.## >>> checking data consistency...## Warning in consistency.check(data, n0, nf, datasetName, details): Inconsistency
## of type.II in ts-recovered data detected -- 74 records (out of 253) show
## inconsistencies in the data...
## [1] "NIGERIA"
## ################################################################################
## ##### TS-RECOVERED Cases -- Data dated: 2020-09-08 :: 2020-09-09 18:01:10
## ################################################################################
## Number of Countries/Regions reported: 1
## Number of Cities/Provinces reported: 1
## Unique number of distinct geographical locations combined: 1
## --------------------------------------------------------------------------------
## For selected locations ts-recovered Totals: 43334
## --------------------------------------------------------------------------------
## Country.Region Province.State Totals Perc LastDayChange t-2 t-3 t-7 t-14 t-30
## 1 Nigeria 43334 78.14 103 218 91 429 317 160
## --------------------------------------------------------------------------------
## --------------------------------------------------------------------------------
## ================================================================================## Data being read from JHU/CCSE repository## ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~## Reading data from https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_daily_reports/09-08-2020.csv
## [1] "NIGERIA"
## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY CONFIRMED Cases -- Data dated: 2020-09-09 :: 2020-09-09 18:01:10
## ############################################################################################################################################
## Number of Countries/Regions reported: 1
## Number of Cities/Provinces reported: 1
## Unique number of distinct geographical locations combined: 1
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Nigeria 55456 0.2 1067 1.92 43334 78.14 11055 19.93
## ============================================================================================================================================## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY DEATHS Cases -- Data dated: 2020-09-09 :: 2020-09-09 18:01:10
## ############################################################################################################################################
## Number of Countries/Regions reported: 1
## Number of Cities/Provinces reported: 1
## Unique number of distinct geographical locations combined: 1
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Nigeria 55456 0.2 1067 1.92 43334 78.14 11055 19.93
## ============================================================================================================================================## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY RECOVERED Cases -- Data dated: 2020-09-09 :: 2020-09-09 18:01:10
## ############################################################################################################################################
## Number of Countries/Regions reported: 1
## Number of Cities/Provinces reported: 1
## Unique number of distinct geographical locations combined: 1
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Nigeria 55456 0.2 1067 1.92 43334 78.14 11055 19.93
## ============================================================================================================================================## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY ACTIVE Cases -- Data dated: 2020-09-09 :: 2020-09-09 18:01:10
## ############################################################################################################################################
## Number of Countries/Regions reported: 1
## Number of Cities/Provinces reported: 1
## Unique number of distinct geographical locations combined: 1
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Nigeria 55456 0.2 1067 1.92 43334 78.14 11055 19.93
## ============================================================================================================================================## Confirmed Deaths Recovered Active
## Totals
## 55456 1067 43334 11055
## Average
## 55456 1067 43334 11055
## Standard Deviation
## NA NA NA NA
##
##
## * Statistical estimators computed considering 1 independent reported entries## >>> checking data integrity...## No critical issues have been found.
##
##
## ********************************************************************************
## ******************************** OVERALL SUMMARY********************************
## ********************************************************************************
## **** Time Series NIGERIA TOTS ****
## ts-confirmed ts-deaths ts-recovered
## 55456 1067 43334
## 1.92% 78.14%
## **** Time Series NIGERIA AVGS ****
## ts-confirmed ts-deaths ts-recovered
## 55456 1067 43334
## 1.92% 78.14%
## **** Time Series NIGERIA SDS ****
## ts-confirmed ts-deaths ts-recovered
## NA NA NA
## NA% NA%
##
##
## * Statistical estimators computed considering 1/1/1 independent reported entries per case-type
## ********************************************************************************