Packages installation
my_packages <- c("tidyverse", "broom", "coefplot", "cowplot",
"gapminder", "GGally", "ggrepel", "ggridges", "gridExtra",
"here", "interplot", "margins", "maps", "mapproj",
"mapdata", "MASS", "quantreg", "rlang", "scales",
"survey", "srvyr", "viridis", "viridisLite", "devtools")
install.packages(my_packages, repos = "http://cran.rstudio.com")
## Installing packages into 'C:/Users/trinu/AppData/Local/R/win-library/4.2'
## (as 'lib' is unspecified)
##
## There is a binary version available but the source version is later:
## binary source needs_compilation
## rlang 1.0.5 1.0.6 TRUE
##
## Binaries will be installed
## package 'tidyverse' successfully unpacked and MD5 sums checked
## package 'broom' successfully unpacked and MD5 sums checked
## package 'coefplot' successfully unpacked and MD5 sums checked
## package 'cowplot' successfully unpacked and MD5 sums checked
## package 'gapminder' successfully unpacked and MD5 sums checked
## package 'GGally' successfully unpacked and MD5 sums checked
## package 'ggrepel' successfully unpacked and MD5 sums checked
## package 'ggridges' successfully unpacked and MD5 sums checked
## package 'gridExtra' successfully unpacked and MD5 sums checked
## package 'here' successfully unpacked and MD5 sums checked
## package 'interplot' successfully unpacked and MD5 sums checked
## package 'margins' successfully unpacked and MD5 sums checked
## package 'maps' successfully unpacked and MD5 sums checked
## package 'mapproj' successfully unpacked and MD5 sums checked
## package 'mapdata' successfully unpacked and MD5 sums checked
## package 'MASS' successfully unpacked and MD5 sums checked
## package 'quantreg' successfully unpacked and MD5 sums checked
## package 'rlang' successfully unpacked and MD5 sums checked
## Warning: cannot remove prior installation of package 'rlang'
## Warning in file.copy(savedcopy, lib, recursive = TRUE): problem copying C:
## \Users\trinu\AppData\Local\R\win-library\4.2\00LOCK\rlang\libs\x64\rlang.dll
## to C:\Users\trinu\AppData\Local\R\win-library\4.2\rlang\libs\x64\rlang.dll:
## Permission denied
## Warning: restored 'rlang'
## package 'scales' successfully unpacked and MD5 sums checked
## package 'survey' successfully unpacked and MD5 sums checked
## package 'srvyr' successfully unpacked and MD5 sums checked
## package 'viridis' successfully unpacked and MD5 sums checked
## package 'viridisLite' successfully unpacked and MD5 sums checked
## package 'devtools' successfully unpacked and MD5 sums checked
##
## The downloaded binary packages are in
## C:\Users\trinu\AppData\Local\Temp\RtmpWoe63R\downloaded_packages
library("socviz")
## Warning: package 'socviz' was built under R version 4.2.1
library("tidyverse")
## Warning: package 'tidyverse' was built under R version 4.2.1
## ── Attaching packages
## ───────────────────────────────────────
## tidyverse 1.3.2 ──
## ✔ ggplot2 3.3.6 ✔ purrr 0.3.4
## ✔ tibble 3.1.7 ✔ dplyr 1.0.9
## ✔ tidyr 1.2.0 ✔ stringr 1.4.0
## ✔ readr 2.1.2 ✔ forcats 0.5.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
Vector of the names
vector of names and displaying them
vector_names <- c("Shweta", "Nandini", "Shruthi", "Maitreyi")
vector_names
## [1] "Shweta" "Nandini" "Shruthi" "Maitreyi"
Vector of numbers
vector of names and displaying them
vector_numbers <- c(5,16,7,9)
vector_numbers
## [1] 5 16 7 9
mean of vector numbers
mean_numbers <- mean(vector_numbers)
mean_numbers
## [1] 9.25
Assigning the results of a function to an object and displaying the
object
square_fun <- function(i){
x1 <- i^2
print(x1)
}
square <-square_fun(5)
## [1] 25
square
## [1] 25
Determining the class of vector
vector_class <- class(vector_numbers)
vector_class
## [1] "numeric"
Changing the class of vector to character
new_vector <- c(vector_numbers,"Hello")
new_vector
## [1] "5" "16" "7" "9" "Hello"
new_vector_class <- class(new_vector)
new_vector_class
## [1] "character"
Titanic Dataframe
titanic
## fate sex n percent
## 1 perished male 1364 62.0
## 2 perished female 126 5.7
## 3 survived male 367 16.7
## 4 survived female 344 15.6
Class of titanic dataframe
titanic_class <- class(titanic)
titanic_class
## [1] "data.frame"
Covertic titanic data frame to tibble
titanic_tb <- as_tibble(titanic)
titanic_tb
## # A tibble: 4 × 4
## fate sex n percent
## <fct> <fct> <dbl> <dbl>
## 1 perished male 1364 62
## 2 perished female 126 5.7
## 3 survived male 367 16.7
## 4 survived female 344 15.6
Structure of an Object
structure <- str(vector_numbers)
## num [1:4] 5 16 7 9
struture_name <- str(vector_names)
## chr [1:4] "Shweta" "Nandini" "Shruthi" "Maitreyi"
Structure of mpg dataframe
structure_mpg <- str(mpg)
## tibble [234 × 11] (S3: tbl_df/tbl/data.frame)
## $ manufacturer: chr [1:234] "audi" "audi" "audi" "audi" ...
## $ model : chr [1:234] "a4" "a4" "a4" "a4" ...
## $ displ : num [1:234] 1.8 1.8 2 2 2.8 2.8 3.1 1.8 1.8 2 ...
## $ year : int [1:234] 1999 1999 2008 2008 1999 1999 2008 1999 1999 2008 ...
## $ cyl : int [1:234] 4 4 4 4 6 6 6 4 4 4 ...
## $ trans : chr [1:234] "auto(l5)" "manual(m5)" "manual(m6)" "auto(av)" ...
## $ drv : chr [1:234] "f" "f" "f" "f" ...
## $ cty : int [1:234] 18 21 20 21 16 18 18 18 16 20 ...
## $ hwy : int [1:234] 29 29 31 30 26 26 27 26 25 28 ...
## $ fl : chr [1:234] "p" "p" "p" "p" ...
## $ class : chr [1:234] "compact" "compact" "compact" "compact" ...
Contents of mpg dataframe
mpg
## # A tibble: 234 × 11
## manufacturer model displ year cyl trans drv cty hwy fl class
## <chr> <chr> <dbl> <int> <int> <chr> <chr> <int> <int> <chr> <chr>
## 1 audi a4 1.8 1999 4 auto… f 18 29 p comp…
## 2 audi a4 1.8 1999 4 manu… f 21 29 p comp…
## 3 audi a4 2 2008 4 manu… f 20 31 p comp…
## 4 audi a4 2 2008 4 auto… f 21 30 p comp…
## 5 audi a4 2.8 1999 6 auto… f 16 26 p comp…
## 6 audi a4 2.8 1999 6 manu… f 18 26 p comp…
## 7 audi a4 3.1 2008 6 auto… f 18 27 p comp…
## 8 audi a4 quattro 1.8 1999 4 manu… 4 18 26 p comp…
## 9 audi a4 quattro 1.8 1999 4 auto… 4 16 25 p comp…
## 10 audi a4 quattro 2 2008 4 manu… 4 20 28 p comp…
## # … with 224 more rows
Scatter plot of mpg dataset
p <- ggplot(data = mpg,
mapping = aes(x = displ, y = hwy, color = 'red'))
p + geom_point()
Creating object URL for Orgon donation file
url <- read.csv("C:/Users/Public/organdonation.csv")
url
## country year donors pop pop.dens gdp gdp.lag health
## 1 Australia NA NA 17065 0.2204433 16774 16591 1300.0
## 2 Australia 1991 12.09 17284 0.2232723 17171 16774 1379.0
## 3 Australia 1992 12.35 17495 0.2259980 17914 17171 1455.0
## 4 Australia 1993 12.51 17667 0.2282198 18883 17914 1540.0
## 5 Australia 1994 10.25 17855 0.2306484 19849 18883 1626.0
## 6 Australia 1995 10.18 18072 0.2334516 21079 19849 1737.0
## 7 Australia 1996 10.59 18311 0.2365389 21923 21079 1846.0
## 8 Australia 1997 10.26 18518 0.2392129 22961 21923 1948.0
## 9 Australia 1998 10.48 18711 0.2417061 24148 22961 2077.0
## 10 Australia 1999 8.67 18926 0.2444834 25445 24148 2231.0
## 11 Australia 2000 10.23 19153 0.2474158 26545 25445 2379.0
## 12 Australia 2001 9.53 19413 0.2507744 27461 26545 2504.0
## 13 Australia 2002 10.48 19663 0.2540039 28168 27461 2629.0
## 14 Australia NA NA NA NA NA 28168 2754.0
## 15 Austria NA NA 7678 9.1557357 18914 17425 1344.0
## 16 Austria 1991 27.60 7755 9.2475555 19860 18914 1419.0
## 17 Austria 1992 23.10 7841 9.3501073 20601 19860 1551.0
## 18 Austria 1993 26.20 7906 9.4276175 21119 20601 1674.0
## 19 Austria 1994 21.40 7936 9.4633914 21940 21119 1739.0
## 20 Austria 1995 21.50 7948 9.4777009 22817 21940 1865.0
## 21 Austria 1996 24.70 7959 9.4908180 23798 22817 1986.0
## 22 Austria 1997 19.50 7968 9.5015502 24364 23798 1848.0
## 23 Austria 1998 20.70 7977 9.5122824 25423 24364 1953.0
## 24 Austria 1999 25.90 7992 9.5301693 26513 25423 2069.0
## 25 Austria 2000 24.00 8012 9.5540186 27738 26513 2147.0
## 26 Austria 2001 23.90 8030 9.5754829 28457 27738 2174.0
## 27 Austria 2002 23.80 8053 9.6029096 28842 28457 2220.0
## 28 Austria NA NA NA NA NA 28842 2266.0
## 29 Belgium NA NA 9967 30.1117825 18008 16848 1340.0
## 30 Belgium 1991 21.00 10005 30.2265861 18796 18008 1460.0
## 31 Belgium 1992 20.60 10045 30.3474320 19444 18796 1547.0
## 32 Belgium 1993 21.00 10085 30.4682780 19733 19444 1595.0
## 33 Belgium 1994 22.80 10116 30.5619335 20732 19733 1632.0
## 34 Belgium 1995 19.60 10137 30.6253776 21679 20732 1882.0
## 35 Belgium 1996 21.20 10157 30.6858006 22152 21679 1981.0
## 36 Belgium 1997 22.50 10181 30.7583082 22936 22152 1967.0
## 37 Belgium 1998 19.40 10203 30.8247734 23738 22936 2041.0
## 38 Belgium 1999 25.20 10226 30.8942598 24521 23738 2139.0
## 39 Belgium 2000 25.60 10251 30.9697885 25991 24521 2288.0
## 40 Belgium 2001 22.20 10287 31.0785499 27113 25991 2441.0
## 41 Belgium 2002 21.70 10333 31.2175227 27652 27113 2515.0
## 42 Belgium NA NA NA NA NA 27652 2589.0
## 43 Canada NA NA 27701 0.2778265 19044 18699 1714.0
## 44 Canada 1991 14.70 28031 0.2811363 19101 19044 1855.0
## 45 Canada 1992 12.60 28377 0.2846065 19590 19101 1959.0
## 46 Canada 1993 14.10 28703 0.2878761 20269 19590 2002.0
## 47 Canada 1994 13.90 29036 0.2912159 21428 20269 2039.0
## 48 Canada 1995 14.80 29354 0.2944053 22292 21428 2044.0
## 49 Canada 1996 14.00 29672 0.2975946 22764 22292 2039.0
## 50 Canada 1997 14.20 29987 0.3007539 23949 22764 2130.0
## 51 Canada 1998 13.70 30248 0.3033716 25013 23949 2291.0
## 52 Canada 1999 13.80 30499 0.3058890 26658 25013 2400.0
## 53 Canada 2000 15.30 30770 0.3086070 28472 26658 2541.0
## 54 Canada 2001 13.50 31111 0.3120270 29235 28472 2743.0
## 55 Canada 2002 13.00 31414 0.3150660 30429 29235 2931.0
## 56 Canada NA NA NA NA NA 30429 3119.0
## 57 Denmark NA NA 5141 11.9308424 18285 17460 1554.0
## 58 Denmark 1991 11.70 5154 11.9610118 19126 18285 1603.0
## 59 Denmark 1992 16.10 5171 12.0004641 19644 19126 1660.0
## 60 Denmark 1993 14.70 5189 12.0422372 20056 19644 1757.0
## 61 Denmark 1994 12.90 5206 12.0816895 21494 20056 1834.0
## 62 Denmark 1995 12.90 5233 12.1443490 22462 21494 1843.0
## 63 Denmark 1996 14.00 5263 12.2139708 23548 22462 1949.0
## 64 Denmark 1997 11.40 5285 12.2650267 24676 23548 2028.0
## 65 Denmark 1998 11.00 5304 12.3091204 25537 24676 2141.0
## 66 Denmark 1999 14.30 5322 12.3508935 26985 25537 2297.0
## 67 Denmark 2000 12.50 5340 12.3926665 28146 26985 2351.0
## 68 Denmark 2001 12.90 5359 12.4367603 29203 28146 2523.0
## 69 Denmark 2002 12.70 5376 12.4762126 29228 29203 2580.0
## 70 Denmark NA NA NA NA NA 29228 2637.0
## 71 Finland NA NA 4986 1.4744936 18025 17436 1414.0
## 72 Finland 1991 16.80 5014 1.4827739 17281 18025 1547.0
## 73 Finland 1992 19.40 5042 1.4910543 16943 17281 1542.0
## 74 Finland 1993 19.60 5066 1.4981517 17082 16943 1421.0
## 75 Finland 1994 20.00 5088 1.5046577 17993 17082 1390.0
## 76 Finland 1995 19.40 5108 1.5105722 19031 17993 1428.0
## 77 Finland 1996 19.50 5125 1.5155996 19842 19031 1517.0
## 78 Finland 1997 16.30 5140 1.5200355 21691 19842 1580.0
## 79 Finland 1998 19.80 5154 1.5241757 23267 21691 1607.0
## 80 Finland 1999 16.50 5166 1.5277244 23702 23267 1641.0
## 81 Finland 2000 19.90 5176 1.5306817 25397 23702 1698.0
## 82 Finland 2001 17.00 5188 1.5342304 26376 25397 1841.0
## 83 Finland 2002 17.10 5201 1.5380748 26616 26376 1943.0
## 84 Finland NA NA NA NA NA 26616 2045.0
## 85 France NA NA 56709 10.2826836 18162 17113 1555.0
## 86 France 1991 19.10 56976 10.3310970 18989 18162 1668.0
## 87 France 1992 16.80 57240 10.3789665 19566 18989 1769.0
## 88 France 1993 17.10 57467 10.4201269 19763 19566 1866.0
## 89 France 1994 15.40 57659 10.4549411 20655 19763 1937.0
## 90 France 1995 15.10 57844 10.4884859 21283 20655 2025.0
## 91 France 1996 15.10 58026 10.5214869 21990 21283 2091.0
## 92 France 1997 15.00 58208 10.5544878 23113 21990 2163.0
## 93 France 1998 16.50 58398 10.5889393 24044 23113 2231.0
## 94 France 1999 16.20 58623 10.6297371 24856 24044 2306.0
## 95 France 2000 17.00 58896 10.6792384 25928 24856 2416.0
## 96 France 2001 17.80 59192 10.7329102 27394 25928 2588.0
## 97 France 2002 20.00 59486 10.7862194 28094 27394 2736.0
## 98 France NA NA NA NA NA 28094 2884.0
## 99 Germany NA NA 63254 17.7167185 20359 19015 1729.0
## 100 Germany 1991 13.30 80014 22.4110019 17511 20359 1845.5
## 101 Germany 1992 14.20 80625 22.5821360 19811 17511 1962.0
## 102 Germany 1993 13.90 81156 22.7308629 19983 19811 1988.0
## 103 Germany 1994 12.30 81438 22.8098479 20690 19983 2106.0
## 104 Germany 1995 12.80 81678 22.8770692 21411 20690 2263.0
## 105 Germany 1996 12.70 81915 22.9434501 22164 21411 2410.0
## 106 Germany 1997 13.20 82035 22.9770607 22589 22164 2416.0
## 107 Germany 1998 13.40 82047 22.9804218 23283 22589 2470.0
## 108 Germany 1999 13.20 82100 22.9952665 24100 23283 2563.0
## 109 Germany 2000 12.50 82212 23.0266364 24942 24100 2640.0
## 110 Germany 2001 12.80 82350 23.0652886 25436 24942 2735.0
## 111 Germany 2002 12.20 82489 23.1042209 25843 25436 2830.0
## 112 Germany NA NA NA NA NA 25843 2925.0
## 113 Italy NA NA 56719 18.8222606 17430 16525 1397.0
## 114 Italy 1991 5.20 56751 18.8328798 18209 17430 1520.0
## 115 Italy 1992 5.80 56859 18.8687197 18883 18209 1584.0
## 116 Italy 1993 6.20 57049 18.9317714 19124 18883 1554.0
## 117 Italy 1994 7.90 57204 18.9832083 19903 19124 1557.0
## 118 Italy 1995 10.10 57301 19.0153979 20652 19903 1524.0
## 119 Italy 1996 11.00 57397 19.0472556 21396 20652 1605.0
## 120 Italy 1997 11.60 57512 19.0854185 22030 21396 1705.0
## 121 Italy 1998 12.30 57588 19.1106392 23291 22030 1800.0
## 122 Italy 1999 13.70 57646 19.1298865 23729 23291 1853.0
## 123 Italy 2000 14.20 57762 19.1683812 24629 23729 2001.0
## 124 Italy 2001 17.10 57894 19.2121856 25359 24629 2107.0
## 125 Italy 2002 18.10 57994 19.2453707 25569 25359 2166.0
## 126 Italy NA NA NA NA NA 25569 2225.0
## 127 Ireland NA NA 3514 5.0007115 12917 11434 791.0
## 128 Ireland 1991 19.00 3534 5.0291732 13495 12917 884.0
## 129 Ireland 1992 19.50 3558 5.0633272 14241 13495 1005.0
## 130 Ireland 1993 17.10 3576 5.0889426 14927 14241 1041.0
## 131 Ireland 1994 20.30 3590 5.1088658 15990 14927 1119.0
## 132 Ireland 1995 24.60 3609 5.1359044 17789 15990 1208.0
## 133 Ireland 1996 16.80 3636 5.1743276 19245 17789 1269.0
## 134 Ireland 1997 20.90 3673 5.2269816 22017 19245 1417.0
## 135 Ireland 1998 23.80 3715 5.2867511 23995 22017 1487.0
## 136 Ireland 1999 18.70 3756 5.3450975 25936 23995 1623.0
## 137 Ireland 2000 17.60 3801 5.4091362 27891 25936 1774.0
## 138 Ireland 2001 18.20 3863 5.4973673 29703 27891 2059.0
## 139 Ireland 2002 21.00 3932 5.5955600 32571 29703 2367.0
## 140 Ireland NA NA NA NA NA 32571 2675.0
## 141 Netherlands NA NA 14952 36.0028895 17707 16580 1419.0
## 142 Netherlands 1991 14.90 15070 36.2870214 18708 17707 1532.0
## 143 Netherlands 1992 15.10 15184 36.5615218 19285 18708 1623.0
## 144 Netherlands 1993 15.40 15290 36.8167590 19856 19285 1700.0
## 145 Netherlands 1994 13.10 15383 37.0406935 20768 19856 1745.0
## 146 Netherlands 1995 15.20 15459 37.2236937 21723 20768 1827.0
## 147 Netherlands 1996 15.10 15531 37.3970624 22541 21723 1878.0
## 148 Netherlands 1997 14.40 15611 37.5896942 23753 22541 1936.0
## 149 Netherlands 1998 13.00 15707 37.8208524 24780 23753 2016.0
## 150 Netherlands 1999 10.90 15812 38.0736817 25438 24780 2098.0
## 151 Netherlands 2000 12.60 15926 38.3481820 26873 25438 2196.0
## 152 Netherlands 2001 11.60 16046 38.6371298 28756 26873 2455.0
## 153 Netherlands 2002 12.60 16149 38.8851433 28983 28756 2643.0
## 154 Netherlands NA NA NA NA NA 28983 2831.0
## 155 Norway NA NA 4242 1.3097443 17905 16942 1385.0
## 156 Norway 1991 15.20 4262 1.3159195 19134 17905 1542.0
## 157 Norway 1992 14.30 4286 1.3233296 20128 19134 1643.0
## 158 Norway 1993 17.10 4312 1.3313573 21047 20128 1688.0
## 159 Norway 1994 16.00 4337 1.3390762 22503 21047 1777.0
## 160 Norway 1995 15.70 4359 1.3458688 23868 22503 1892.0
## 161 Norway 1996 15.10 4381 1.3526615 26218 23868 2064.0
## 162 Norway 1997 15.10 4405 1.3600716 27784 26218 2179.0
## 163 Norway 1998 15.60 4432 1.3684081 27323 27784 2314.0
## 164 Norway 1999 15.50 4462 1.3776707 30005 27323 2561.0
## 165 Norway 2000 17.60 4491 1.3866247 35829 30005 2747.0
## 166 Norway 2001 14.40 4514 1.3937261 36554 35829 2946.0
## 167 Norway 2002 13.70 4538 1.4011362 35531 36554 3083.0
## 168 Norway NA NA NA NA NA 35531 3220.0
## 169 Spain NA NA 38850 7.6780174 12971 12051 865.0
## 170 Spain 1991 20.20 38920 7.6918516 13754 12971 946.0
## 171 Spain 1992 21.70 39011 7.7098362 14331 13754 1035.0
## 172 Spain 1993 22.60 39096 7.7266349 14359 14331 1084.0
## 173 Spain 1994 25.00 39166 7.7404692 15024 14359 1116.0
## 174 Spain 1995 27.00 39223 7.7517342 15720 15024 1195.0
## 175 Spain 1996 26.80 39279 7.7628016 16416 15720 1250.0
## 176 Spain 1997 29.00 39348 7.7764383 17203 16416 1287.0
## 177 Spain 1998 31.50 39453 7.7971897 18332 17203 1371.0
## 178 Spain 1999 33.40 39626 7.8313801 19546 18332 1467.0
## 179 Spain 2000 33.90 40614 8.0266408 20017 19546 1493.0
## 180 Spain 2001 32.50 41201 8.1426510 20864 20017 1567.0
## 181 Spain 2002 33.70 41874 8.2756576 21592 20864 1646.0
## 182 Spain NA NA NA NA NA 21592 1725.0
## 183 Sweden NA NA 8559 1.9021691 18660 17915 1566.0
## 184 Sweden 1991 16.40 8617 1.9150591 19000 18660 1552.0
## 185 Sweden 1992 14.90 8668 1.9263935 19116 19000 1594.0
## 186 Sweden 1993 15.20 8719 1.9377278 19063 19116 1637.0
## 187 Sweden 1994 12.80 8781 1.9515068 20132 19063 1648.0
## 188 Sweden 1995 13.00 8827 1.9617299 21290 20132 1733.0
## 189 Sweden 1996 11.90 8841 1.9648413 22029 21290 1845.0
## 190 Sweden 1997 12.60 8846 1.9659525 22756 22029 1870.0
## 191 Sweden 1998 14.60 8851 1.9670637 23525 22756 1961.0
## 192 Sweden 1999 12.10 8858 1.9686194 25099 23525 2119.0
## 193 Sweden 2000 10.90 8872 1.9717308 26574 25099 2243.0
## 194 Sweden 2001 12.10 8896 1.9770646 26902 26574 2370.0
## 195 Sweden 2002 11.00 8925 1.9835096 27255 26902 2517.0
## 196 Sweden NA NA NA NA NA 27255 2664.0
## 197 Switzerland NA NA 6712 16.2557520 24648 23009 2040.0
## 198 Switzerland 1991 15.60 6797 16.4616130 24879 24648 2220.0
## 199 Switzerland 1992 14.80 6875 16.6505207 25135 24879 2345.0
## 200 Switzerland 1993 16.60 6938 16.8031000 25316 25135 2384.0
## 201 Switzerland 1994 15.90 6994 16.9387261 25901 25316 2457.0
## 202 Switzerland 1995 13.00 7041 17.0525551 26304 25901 2555.0
## 203 Switzerland 1996 12.57 7072 17.1276338 26180 26304 2654.0
## 204 Switzerland 1997 14.28 7089 17.1688060 27675 26180 2812.0
## 205 Switzerland 1998 15.43 7110 17.2196658 28733 27675 2967.0
## 206 Switzerland 1999 14.42 7144 17.3020102 28562 28733 2985.0
## 207 Switzerland 2000 14.00 7184 17.3988859 29837 28562 3111.0
## 208 Switzerland 2001 13.19 7233 17.5175587 30134 29837 3288.0
## 209 Switzerland 2002 10.40 7290 17.6556067 30725 30134 3445.0
## 210 Switzerland NA NA NA NA NA 30725 3602.0
## 211 United Kingdom NA NA 57238 23.5634597 16228 15804 977.0
## 212 United Kingdom 1991 14.20 57439 23.6462064 16729 16228 1079.0
## 213 United Kingdom 1992 14.40 57582 23.7050760 17110 16729 1184.0
## 214 United Kingdom 1993 13.90 57711 23.7581820 17952 17110 1246.0
## 215 United Kingdom 1994 14.20 57855 23.8174633 18994 17952 1331.0
## 216 United Kingdom 1995 14.40 58005 23.8792145 19998 18994 1393.0
## 217 United Kingdom 1996 13.60 58139 23.9343790 20839 19998 1461.0
## 218 United Kingdom 1997 13.40 58283 23.9936602 22442 20839 1535.0
## 219 United Kingdom 1998 12.30 58440 24.0582932 23343 22442 1607.0
## 220 United Kingdom 1999 12.10 58635 24.1385698 24086 23343 1725.0
## 221 United Kingdom 2000 13.20 58817 24.2134947 25271 24086 1839.0
## 222 United Kingdom 2001 13.20 59051 24.3098267 26720 25271 2012.0
## 223 United Kingdom 2002 13.00 59232 24.3843399 27959 26720 2160.0
## 224 United Kingdom NA NA NA NA NA 27959 2308.0
## 225 United States NA NA 249623 2.5923841 23038 22039 2738.0
## 226 United States 1991 17.89 252981 2.6272576 23443 23038 2957.0
## 227 United States 1992 17.62 256514 2.6639485 24411 23443 3165.0
## 228 United States 1993 18.70 259919 2.6993101 25327 24411 3357.0
## 229 United States 1994 19.38 263126 2.7326154 26578 25327 3500.0
## 230 United States 1995 20.14 266278 2.7653496 27559 26578 3655.0
## 231 United States 1996 20.10 269394 2.7977099 28772 27559 3792.0
## 232 United States 1997 20.09 272647 2.8314929 30283 28772 3939.0
## 233 United States 1998 21.00 275854 2.8647982 31612 30283 4096.0
## 234 United States 1999 20.87 279040 2.8978855 33016 31612 4298.0
## 235 United States 2000 21.21 282224 2.9309519 34590 33016 4538.0
## 236 United States 2001 21.31 285318 2.9630837 35118 34590 4869.0
## 237 United States 2002 21.47 288369 2.9947690 36006 35118 5267.0
## 238 United States NA NA NA NA NA 36006 5665.0
## health.lag pubhealth roads cerebvas assault external txp.pop
## 1 1224.0 4.80 136.59537 682 21 444 0.9375916
## 2 1300.0 5.40 122.25179 647 19 425 0.9257116
## 3 1379.0 5.40 112.83224 630 17 406 0.9145470
## 4 1455.0 5.40 110.54508 611 18 376 0.9056433
## 5 1540.0 5.40 107.98096 631 17 387 0.8961075
## 6 1626.0 5.50 111.60912 592 16 371 0.8853475
## 7 1737.0 5.60 107.58560 576 17 395 0.8737917
## 8 1846.0 5.70 95.42067 525 17 385 0.8640242
## 9 1948.0 5.90 93.79509 516 16 410 0.8551120
## 10 2077.0 6.10 93.20511 493 15 409 0.8453979
## 11 2231.0 6.20 94.86764 474 16 393 0.8353783
## 12 2379.0 6.20 89.47612 449 15 367 0.8241900
## 13 2504.0 6.20 87.21965 424 14 341 0.8137110
## 14 2629.0 NA NA NA NA NA NA
## 15 1255.0 5.20 202.91743 953 16 614 0.6512113
## 16 1344.0 5.20 200.00000 942 12 590 0.6447453
## 17 1419.0 5.50 178.93126 880 14 549 0.6376738
## 18 1551.0 5.90 162.28181 828 13 551 0.6324311
## 19 1674.0 5.90 168.59879 803 11 561 0.6300403
## 20 1739.0 5.80 152.23956 774 10 527 0.6290891
## 21 1865.0 5.80 129.03631 801 11 499 0.6282196
## 22 1986.0 5.30 138.67972 770 9 470 0.6275100
## 23 1848.0 5.40 120.72208 732 11 439 0.6268021
## 24 1953.0 5.40 135.01001 699 8 458 0.6256256
## 25 2069.0 5.40 121.81727 644 9 460 0.6240639
## 26 2147.0 5.20 119.30262 583 9 429 0.6226650
## 27 2174.0 5.40 118.71352 586 9 442 0.6208866
## 28 2220.0 NA NA NA NA NA NA
## 29 1246.0 NA 198.25424 688 13 565 0.8026487
## 30 1340.0 NA 187.20640 662 14 561 0.7996002
## 31 1460.0 NA 166.45097 646 16 547 0.7964161
## 32 1547.0 NA 164.60089 659 19 574 0.7932573
## 33 1595.0 6.00 167.25979 615 17 584 0.7908264
## 34 1632.0 6.00 142.94170 586 16 549 0.7891881
## 35 1882.0 6.40 133.50399 585 19 523 0.7876341
## 36 1981.0 6.00 133.97505 574 17 523 0.7857774
## 37 1967.0 6.00 147.01558 563 15 523 0.7840831
## 38 2041.0 6.20 136.61256 552 13 523 0.7823196
## 39 2139.0 6.20 143.40064 541 11 523 0.7804117
## 40 2288.0 6.40 144.45417 530 9 523 0.7776806
## 41 2441.0 6.50 145.35953 519 7 523 0.7742185
## 42 2515.0 NA NA NA NA NA NA
## 43 1600.0 6.70 143.06343 476 20 469 1.1190932
## 44 1714.0 7.20 131.63997 462 22 463 1.1059184
## 45 1855.0 7.40 123.37456 449 20 436 1.0924340
## 46 1959.0 7.20 125.94502 463 17 440 1.0800265
## 47 2002.0 6.90 112.37774 444 17 422 1.0676402
## 48 2039.0 6.50 114.15821 434 16 424 1.0560741
## 49 2044.0 6.30 104.17228 432 17 417 1.0447560
## 50 2039.0 6.20 102.17761 430 14 399 1.0337813
## 51 2130.0 6.50 97.49405 407 15 398 1.0248611
## 52 2291.0 6.30 97.87206 387 15 411 1.0164268
## 53 2400.0 6.30 95.09262 378 15 382 1.0074748
## 54 2541.0 6.60 89.29318 369 15 353 0.9964321
## 55 2743.0 6.70 83.72063 360 15 324 0.9868212
## 56 2931.0 NA NA NA NA NA NA
## 57 1506.0 7.00 123.32231 699 10 582 0.7780587
## 58 1554.0 7.00 117.57858 688 13 572 0.7760962
## 59 1603.0 7.00 111.58383 691 13 565 0.7735448
## 60 1660.0 7.20 107.72789 714 12 574 0.7708614
## 61 1757.0 7.00 104.87899 646 13 548 0.7683442
## 62 1834.0 6.80 111.21728 655 11 535 0.7643799
## 63 1843.0 6.80 97.66293 650 11 499 0.7600228
## 64 1949.0 6.80 92.52602 606 11 506 0.7568590
## 65 2028.0 6.90 94.07994 580 9 482 0.7541478
## 66 2141.0 7.00 96.58023 588 11 495 0.7515971
## 67 2297.0 6.90 97.56554 596 13 508 0.7490637
## 68 2353.0 7.10 80.42545 604 15 521 0.7464079
## 69 2520.0 7.30 86.12351 612 17 534 0.7440476
## 70 2583.0 NA NA NA NA NA NA
## 71 1268.0 6.30 130.16446 957 30 853 0.6016847
## 72 1414.0 7.30 126.04707 939 28 823 0.5983247
## 73 1547.0 7.20 119.19873 886 32 792 0.5950020
## 74 1542.0 6.30 95.53889 932 31 741 0.5921832
## 75 1421.0 5.80 94.33962 830 29 738 0.5896226
## 76 1390.0 5.70 86.33516 875 28 737 0.5873140
## 77 1428.0 5.80 78.82927 736 32 686 0.5853659
## 78 1517.0 5.50 85.21401 721 25 701 0.5836576
## 79 1580.0 5.30 77.60962 670 22 686 0.5820722
## 80 1607.0 5.20 83.43012 652 24 673 0.5807201
## 81 1641.0 5.00 76.50696 639 25 657 0.5795981
## 82 1698.0 5.30 83.46183 604 26 660 0.5782575
## 83 1841.0 5.50 79.79235 587 25 638 0.5768122
## 84 1943.0 NA NA NA NA NA NA
## 85 1555.0 6.60 197.76402 529 10 689 0.7229893
## 86 1555.0 6.70 183.98975 520 10 668 0.7196012
## 87 1668.0 6.90 172.95597 487 10 650 0.7162823
## 88 1769.0 7.20 171.69854 473 11 645 0.7134529
## 89 1866.0 7.10 156.41964 437 11 615 0.7110772
## 90 1937.0 7.30 153.70652 431 10 602 0.7088030
## 91 2025.0 7.20 147.19264 424 10 580 0.7065798
## 92 2091.0 7.10 145.06597 409 9 571 0.7043705
## 93 2163.0 7.10 152.71071 405 7 581 0.7020788
## 94 2231.0 7.10 144.77253 394 7 572 0.6993842
## 95 2306.0 7.10 137.17400 383 7 563 0.6961424
## 96 2416.0 7.20 137.85647 372 7 554 0.6926612
## 97 2588.0 7.40 128.68574 361 7 545 0.6892378
## 98 2760.0 NA NA NA NA NA NA
## 99 1630.0 6.50 174.62927 846 10 477 0.6956082
## 100 1729.0 7.25 141.22529 880 11 480 0.5499038
## 101 1845.5 8.00 131.85736 834 11 456 0.5457364
## 102 1962.0 8.00 122.59106 817 11 432 0.5421657
## 103 1988.0 8.20 120.50885 791 11 417 0.5402883
## 104 2106.0 8.50 115.74720 753 11 399 0.5387008
## 105 2263.0 8.80 106.91571 725 11 385 0.5371422
## 106 2410.0 8.50 104.21162 679 9 370 0.5363564
## 107 2416.0 8.30 94.96996 650 9 345 0.5362780
## 108 2470.0 8.40 94.66504 608 9 339 0.5359318
## 109 2563.0 8.30 91.26405 558 7 338 0.5352017
## 110 2640.0 8.50 84.72374 535 7 329 0.5343048
## 111 2735.0 8.60 82.94439 512 7 320 0.5334045
## 112 2830.0 NA NA NA NA NA NA
## 113 1274.0 6.40 125.83085 886 25 422 0.4584002
## 114 1397.0 6.60 142.42921 876 27 435 0.4581417
## 115 1520.0 6.50 140.94514 832 21 419 0.4572715
## 116 1584.0 6.20 125.55873 821 16 396 0.4557486
## 117 1554.0 5.90 123.95986 791 15 381 0.4545137
## 118 1557.0 5.30 122.51095 715 14 376 0.4537443
## 119 1524.0 5.40 116.31270 670 14 366 0.4529853
## 120 1605.0 5.60 116.70608 669 12 365 0.4520796
## 121 1705.0 5.60 109.64090 670 12 359 0.4514829
## 122 1800.0 5.60 115.06436 627 11 343 0.4510287
## 123 1853.0 6.00 110.97261 597 10 327 0.4501229
## 124 2001.0 6.30 115.41783 567 9 311 0.4490966
## 125 2107.0 6.40 119.90896 537 8 295 0.4483222
## 126 2166.0 NA NA NA NA NA NA
## 127 727.0 4.40 136.02732 825 7 432 0.8537279
## 128 791.0 4.80 125.91964 807 6 410 0.8488964
## 129 884.0 5.00 116.63856 787 8 379 0.8431703
## 130 1005.0 5.10 120.52573 802 7 374 0.8389262
## 131 1041.0 5.00 112.53482 749 7 392 0.8356546
## 132 1119.0 4.90 121.08617 733 8 387 0.8312552
## 133 1208.0 4.70 124.58746 719 9 391 0.8250825
## 134 1269.0 4.80 128.77757 665 8 394 0.8167710
## 135 1417.0 4.70 123.28398 614 11 417 0.8075370
## 136 1487.0 4.60 110.22364 663 10 409 0.7987220
## 137 1623.0 4.70 109.18179 631 10 394 0.7892660
## 138 1774.0 5.20 106.65286 599 10 379 0.7765985
## 139 2059.0 5.50 95.62564 567 10 364 0.7629705
## 140 2367.0 NA NA NA NA NA NA
## 141 1320.0 5.40 92.02782 649 9 310 0.7356875
## 142 1419.0 5.70 85.00332 651 11 314 0.7299270
## 143 1532.0 6.10 82.52107 650 12 309 0.7244468
## 144 1623.0 6.30 80.77175 638 12 295 0.7194245
## 145 1700.0 6.10 84.37886 616 10 294 0.7150751
## 146 1745.0 6.00 86.29277 594 12 286 0.7115596
## 147 1827.0 5.50 75.97708 577 13 293 0.7082609
## 148 1878.0 5.50 74.49875 563 13 282 0.7046313
## 149 1936.0 5.50 67.86783 552 11 265 0.7003247
## 150 2016.0 5.50 68.93499 557 12 276 0.6956742
## 151 2098.0 5.50 67.93922 538 11 270 0.6906945
## 152 2196.0 5.50 61.88458 519 10 264 0.6855291
## 153 2455.0 5.50 61.11834 500 9 258 0.6811567
## 154 2643.0 NA NA NA NA NA NA
## 155 1297.0 6.40 78.26497 816 11 518 0.2357379
## 156 1385.0 6.80 75.78602 758 14 482 0.2346316
## 157 1542.0 6.90 75.82828 760 11 463 0.2333178
## 158 1643.0 6.80 65.16698 767 10 442 0.2319109
## 159 1688.0 6.70 65.25248 696 7 405 0.2305741
## 160 1777.0 6.70 69.97018 668 10 412 0.2294104
## 161 1892.0 6.60 58.20589 689 10 394 0.2282584
## 162 2064.0 6.60 68.78547 646 9 406 0.2270148
## 163 2179.0 7.20 79.42238 639 10 408 0.2256318
## 164 2314.0 7.30 68.13088 593 8 424 0.2241147
## 165 2561.0 6.50 75.92964 554 12 412 0.2226676
## 166 2747.0 6.90 60.92158 523 8 383 0.2215330
## 167 3258.0 7.40 68.31203 492 4 354 0.2203614
## 168 3409.0 NA NA NA NA NA NA
## 169 759.0 5.30 232.48391 862 9 453 0.7207207
## 170 865.0 5.30 227.02980 856 9 441 0.7194245
## 171 946.0 5.60 200.40501 786 8 405 0.7177463
## 172 1035.0 5.80 163.08574 752 9 381 0.7161858
## 173 1084.0 5.60 143.33861 719 8 368 0.7149058
## 174 1116.0 5.50 146.57216 681 8 367 0.7138669
## 175 1195.0 5.50 139.56567 644 8 362 0.7128491
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## 177 1287.0 5.40 150.98979 597 8 366 0.7097052
## 178 1371.0 5.40 144.80392 587 8 351 0.7066068
## 179 1467.0 5.30 142.21697 530 9 349 0.6894174
## 180 1493.0 5.40 133.88025 473 10 347 0.6795952
## 181 1567.0 5.40 127.69260 416 11 345 0.6686727
## 182 1646.0 NA NA NA NA NA NA
## 183 1497.0 7.50 99.07699 669 12 468 0.7010165
## 184 1566.0 7.20 89.59034 670 14 454 0.6962980
## 185 1552.0 7.30 85.94832 648 13 419 0.6922012
## 186 1594.0 7.50 87.05127 632 12 407 0.6881523
## 187 1637.0 7.10 71.97358 605 12 421 0.6832935
## 188 1648.0 7.10 66.72709 587 10 379 0.6797326
## 189 1733.0 7.30 64.69856 585 12 363 0.6786563
## 190 1845.0 7.10 60.70540 591 10 366 0.6782727
## 191 1870.0 7.20 61.12304 588 11 368 0.6778895
## 192 1961.0 7.20 59.94581 571 12 355 0.6773538
## 193 2119.0 7.20 65.37421 555 10 352 0.6762849
## 194 2243.0 7.50 65.53507 531 9 382 0.6744604
## 195 2370.0 7.90 62.74510 507 8 412 0.6722689
## 196 2517.0 NA NA NA NA NA NA
## 197 1915.0 4.30 142.13349 545 13 638 1.0429082
## 198 2040.0 4.70 126.52641 507 13 637 1.0298661
## 199 2220.0 5.00 121.30909 492 14 605 1.0181818
## 200 2345.0 5.10 104.20871 477 16 558 1.0089363
## 201 2384.0 5.10 97.08321 466 13 562 1.0008579
## 202 2457.0 5.20 98.28149 441 10 443 0.9941770
## 203 2555.0 5.50 87.10407 414 11 417 0.9898190
## 204 2654.0 5.60 82.80434 412 14 407 0.9874453
## 205 2812.0 5.70 83.96624 390 8 400 0.9845288
## 206 2967.0 5.80 81.60694 381 10 387 0.9798432
## 207 2985.0 5.80 82.40535 354 8 409 0.9743875
## 208 3111.0 6.20 75.21084 327 6 431 0.9677865
## 209 3288.0 6.50 70.37037 300 4 453 0.9602195
## 210 3446.0 NA NA NA NA NA NA
## 211 940.0 5.00 94.37786 858 7 326 0.7163073
## 212 977.0 5.40 82.74866 860 7 311 0.7138007
## 213 1079.0 5.80 76.04807 818 9 298 0.7120281
## 214 1184.0 5.90 68.56578 759 12 288 0.7104365
## 215 1246.0 5.90 65.80244 721 10 283 0.7086682
## 216 1331.0 5.80 64.90820 718 10 279 0.7068356
## 217 1393.0 5.80 64.50059 698 9 279 0.7052065
## 218 1461.0 5.50 64.22113 671 7 279 0.7034641
## 219 1535.0 5.50 61.27652 660 7 274 0.7015743
## 220 1607.0 5.80 58.37810 640 8 277 0.6992411
## 221 1725.0 5.90 60.86676 620 9 280 0.6970774
## 222 1839.0 6.20 60.93038 600 10 283 0.6943151
## 223 2012.0 6.40 60.45719 580 11 286 0.6921934
## 224 2160.0 NA NA NA NA NA NA
## 225 2475.0 4.70 178.66543 474 97 576 1.0976553
## 226 2738.0 5.20 164.07556 457 103 565 1.0830853
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## 235 4298.0 5.80 148.62308 432 61 499 0.9708600
## 236 4538.0 6.20 147.89112 424 58 484 0.9603320
## 237 4869.0 6.60 148.47296 416 55 469 0.9501715
## 238 5267.0 NA NA NA NA NA NA
## world opt consent.law consent.practice consistent ccode
## 1 Liberal In Informed Informed Yes Oz
## 2 Liberal In Informed Informed Yes Oz
## 3 Liberal In Informed Informed Yes Oz
## 4 Liberal In Informed Informed Yes Oz
## 5 Liberal In Informed Informed Yes Oz
## 6 Liberal In Informed Informed Yes Oz
## 7 Liberal In Informed Informed Yes Oz
## 8 Liberal In Informed Informed Yes Oz
## 9 Liberal In Informed Informed Yes Oz
## 10 Liberal In Informed Informed Yes Oz
## 11 Liberal In Informed Informed Yes Oz
## 12 Liberal In Informed Informed Yes Oz
## 13 Liberal In Informed Informed Yes Oz
## 14 Liberal In Informed Informed Yes Oz
## 15 Corporatist Out Presumed Presumed Yes Aus
## 16 Corporatist Out Presumed Presumed Yes Aus
## 17 Corporatist Out Presumed Presumed Yes Aus
## 18 Corporatist Out Presumed Presumed Yes Aus
## 19 Corporatist Out Presumed Presumed Yes Aus
## 20 Corporatist Out Presumed Presumed Yes Aus
## 21 Corporatist Out Presumed Presumed Yes Aus
## 22 Corporatist Out Presumed Presumed Yes Aus
## 23 Corporatist Out Presumed Presumed Yes Aus
## 24 Corporatist Out Presumed Presumed Yes Aus
## 25 Corporatist Out Presumed Presumed Yes Aus
## 26 Corporatist Out Presumed Presumed Yes Aus
## 27 Corporatist Out Presumed Presumed Yes Aus
## 28 Corporatist Out Presumed Presumed Yes Aus
## 29 Corporatist Out Presumed Presumed No Bel
## 30 Corporatist Out Presumed Presumed No Bel
## 31 Corporatist Out Presumed Presumed No Bel
## 32 Corporatist Out Presumed Presumed No Bel
## 33 Corporatist Out Presumed Presumed No Bel
## 34 Corporatist Out Presumed Presumed No Bel
## 35 Corporatist Out Presumed Presumed No Bel
## 36 Corporatist Out Presumed Presumed No Bel
## 37 Corporatist Out Presumed Presumed No Bel
## 38 Corporatist Out Presumed Presumed No Bel
## 39 Corporatist Out Presumed Presumed No Bel
## 40 Corporatist Out Presumed Presumed No Bel
## 41 Corporatist Out Presumed Presumed No Bel
## 42 Corporatist Out Presumed Presumed No Bel
## 43 Liberal In Informed Informed Yes Can
## 44 Liberal In Informed Informed Yes Can
## 45 Liberal In Informed Informed Yes Can
## 46 Liberal In Informed Informed Yes Can
## 47 Liberal In Informed Informed Yes Can
## 48 Liberal In Informed Informed Yes Can
## 49 Liberal In Informed Informed Yes Can
## 50 Liberal In Informed Informed Yes Can
## 51 Liberal In Informed Informed Yes Can
## 52 Liberal In Informed Informed Yes Can
## 53 Liberal In Informed Informed Yes Can
## 54 Liberal In Informed Informed Yes Can
## 55 Liberal In Informed Informed Yes Can
## 56 Liberal In Informed Informed Yes Can
## 57 SocDem In Informed Informed Yes Den
## 58 SocDem In Informed Informed Yes Den
## 59 SocDem In Informed Informed Yes Den
## 60 SocDem In Informed Informed Yes Den
## 61 SocDem In Informed Informed Yes Den
## 62 SocDem In Informed Informed Yes Den
## 63 SocDem In Informed Informed Yes Den
## 64 SocDem In Informed Informed Yes Den
## 65 SocDem In Informed Informed Yes Den
## 66 SocDem In Informed Informed Yes Den
## 67 SocDem In Informed Informed Yes Den
## 68 SocDem In Informed Informed Yes Den
## 69 SocDem In Informed Informed Yes Den
## 70 SocDem In Informed Informed Yes Den
## 71 SocDem <NA> Presumed Informed No Fin
## 72 SocDem <NA> Presumed Informed No Fin
## 73 SocDem <NA> Presumed Informed No Fin
## 74 SocDem <NA> Presumed Informed No Fin
## 75 SocDem <NA> Presumed Informed No Fin
## 76 SocDem <NA> Presumed Informed No Fin
## 77 SocDem <NA> Presumed Informed No Fin
## 78 SocDem <NA> Presumed Informed No Fin
## 79 SocDem <NA> Presumed Informed No Fin
## 80 SocDem <NA> Presumed Informed No Fin
## 81 SocDem <NA> Presumed Informed No Fin
## 82 SocDem <NA> Presumed Informed No Fin
## 83 SocDem <NA> Presumed Informed No Fin
## 84 SocDem <NA> Presumed Informed No Fin
## 85 Corporatist Out Presumed Informed No Fra
## 86 Corporatist Out Presumed Informed No Fra
## 87 Corporatist Out Presumed Informed No Fra
## 88 Corporatist Out Presumed Informed No Fra
## 89 Corporatist Out Presumed Informed No Fra
## 90 Corporatist Out Presumed Informed No Fra
## 91 Corporatist Out Presumed Informed No Fra
## 92 Corporatist Out Presumed Informed No Fra
## 93 Corporatist Out Presumed Informed No Fra
## 94 Corporatist Out Presumed Informed No Fra
## 95 Corporatist Out Presumed Informed No Fra
## 96 Corporatist Out Presumed Informed No Fra
## 97 Corporatist Out Presumed Informed No Fra
## 98 Corporatist Out Presumed Informed No Fra
## 99 Corporatist In Informed Informed Yes Ger
## 100 Corporatist In Informed Informed Yes Ger
## 101 Corporatist In Informed Informed Yes Ger
## 102 Corporatist In Informed Informed Yes Ger
## 103 Corporatist In Informed Informed Yes Ger
## 104 Corporatist In Informed Informed Yes Ger
## 105 Corporatist In Informed Informed Yes Ger
## 106 Corporatist In Informed Informed Yes Ger
## 107 Corporatist In Informed Informed Yes Ger
## 108 Corporatist In Informed Informed Yes Ger
## 109 Corporatist In Informed Informed Yes Ger
## 110 Corporatist In Informed Informed Yes Ger
## 111 Corporatist In Informed Informed Yes Ger
## 112 Corporatist In Informed Informed Yes Ger
## 113 Corporatist In Presumed Informed No Ita
## 114 Corporatist In Presumed Informed No Ita
## 115 Corporatist In Presumed Informed No Ita
## 116 Corporatist In Presumed Informed No Ita
## 117 Corporatist In Presumed Informed No Ita
## 118 Corporatist In Presumed Informed No Ita
## 119 Corporatist In Presumed Informed No Ita
## 120 Corporatist In Presumed Informed No Ita
## 121 Corporatist In Presumed Informed No Ita
## 122 Corporatist In Presumed Informed No Ita
## 123 Corporatist In Presumed Informed No Ita
## 124 Corporatist In Presumed Informed No Ita
## 125 Corporatist In Presumed Informed No Ita
## 126 Corporatist In Presumed Informed No Ita
## 127 Liberal In Informed Informed Yes Irl
## 128 Liberal In Informed Informed Yes Irl
## 129 Liberal In Informed Informed Yes Irl
## 130 Liberal In Informed Informed Yes Irl
## 131 Liberal In Informed Informed Yes Irl
## 132 Liberal In Informed Informed Yes Irl
## 133 Liberal In Informed Informed Yes Irl
## 134 Liberal In Informed Informed Yes Irl
## 135 Liberal In Informed Informed Yes Irl
## 136 Liberal In Informed Informed Yes Irl
## 137 Liberal In Informed Informed Yes Irl
## 138 Liberal In Informed Informed Yes Irl
## 139 Liberal In Informed Informed Yes Irl
## 140 Liberal In Informed Informed Yes Irl
## 141 SocDem In Informed Informed Yes Neth
## 142 SocDem In Informed Informed Yes Neth
## 143 SocDem In Informed Informed Yes Neth
## 144 SocDem In Informed Informed Yes Neth
## 145 SocDem In Informed Informed Yes Neth
## 146 SocDem In Informed Informed Yes Neth
## 147 SocDem In Informed Informed Yes Neth
## 148 SocDem In Informed Informed Yes Neth
## 149 SocDem In Informed Informed Yes Neth
## 150 SocDem In Informed Informed Yes Neth
## 151 SocDem In Informed Informed Yes Neth
## 152 SocDem In Informed Informed Yes Neth
## 153 SocDem In Informed Informed Yes Neth
## 154 SocDem In Informed Informed Yes Neth
## 155 SocDem Out Presumed Informed No Nor
## 156 SocDem Out Presumed Informed No Nor
## 157 SocDem Out Presumed Informed No Nor
## 158 SocDem Out Presumed Informed No Nor
## 159 SocDem Out Presumed Informed No Nor
## 160 SocDem Out Presumed Informed No Nor
## 161 SocDem Out Presumed Informed No Nor
## 162 SocDem Out Presumed Informed No Nor
## 163 SocDem Out Presumed Informed No Nor
## 164 SocDem Out Presumed Informed No Nor
## 165 SocDem Out Presumed Informed No Nor
## 166 SocDem Out Presumed Informed No Nor
## 167 SocDem Out Presumed Informed No Nor
## 168 SocDem Out Presumed Informed No Nor
## 169 <NA> Out Presumed Informed No Spa
## 170 <NA> Out Presumed Informed No Spa
## 171 <NA> Out Presumed Informed No Spa
## 172 <NA> Out Presumed Informed No Spa
## 173 <NA> Out Presumed Informed No Spa
## 174 <NA> Out Presumed Informed No Spa
## 175 <NA> Out Presumed Informed No Spa
## 176 <NA> Out Presumed Informed No Spa
## 177 <NA> Out Presumed Informed No Spa
## 178 <NA> Out Presumed Informed No Spa
## 179 <NA> Out Presumed Informed No Spa
## 180 <NA> Out Presumed Informed No Spa
## 181 <NA> Out Presumed Informed No Spa
## 182 <NA> Out Presumed Informed No Spa
## 183 SocDem Out Presumed Informed No Swe
## 184 SocDem Out Presumed Informed No Swe
## 185 SocDem Out Presumed Informed No Swe
## 186 SocDem Out Presumed Informed No Swe
## 187 SocDem Out Presumed Informed No Swe
## 188 SocDem Out Presumed Informed No Swe
## 189 SocDem Out Presumed Informed No Swe
## 190 SocDem Out Presumed Informed No Swe
## 191 SocDem Out Presumed Informed No Swe
## 192 SocDem Out Presumed Informed No Swe
## 193 SocDem Out Presumed Informed No Swe
## 194 SocDem Out Presumed Informed No Swe
## 195 SocDem Out Presumed Informed No Swe
## 196 SocDem Out Presumed Informed No Swe
## 197 Corporatist <NA> Presumed Informed No Swiz
## 198 Corporatist <NA> Presumed Informed No Swiz
## 199 Corporatist <NA> Presumed Informed No Swiz
## 200 Corporatist <NA> Presumed Informed No Swiz
## 201 Corporatist <NA> Presumed Informed No Swiz
## 202 Corporatist <NA> Presumed Informed No Swiz
## 203 Corporatist <NA> Presumed Informed No Swiz
## 204 Corporatist <NA> Presumed Informed No Swiz
## 205 Corporatist <NA> Presumed Informed No Swiz
## 206 Corporatist <NA> Presumed Informed No Swiz
## 207 Corporatist <NA> Presumed Informed No Swiz
## 208 Corporatist <NA> Presumed Informed No Swiz
## 209 Corporatist <NA> Presumed Informed No Swiz
## 210 Corporatist <NA> Presumed Informed No Swiz
## 211 Liberal In Informed Informed Yes UK
## 212 Liberal In Informed Informed Yes UK
## 213 Liberal In Informed Informed Yes UK
## 214 Liberal In Informed Informed Yes UK
## 215 Liberal In Informed Informed Yes UK
## 216 Liberal In Informed Informed Yes UK
## 217 Liberal In Informed Informed Yes UK
## 218 Liberal In Informed Informed Yes UK
## 219 Liberal In Informed Informed Yes UK
## 220 Liberal In Informed Informed Yes UK
## 221 Liberal In Informed Informed Yes UK
## 222 Liberal In Informed Informed Yes UK
## 223 Liberal In Informed Informed Yes UK
## 224 Liberal In Informed Informed Yes UK
## 225 Liberal In Informed Informed Yes USA
## 226 Liberal In Informed Informed Yes USA
## 227 Liberal In Informed Informed Yes USA
## 228 Liberal In Informed Informed Yes USA
## 229 Liberal In Informed Informed Yes USA
## 230 Liberal In Informed Informed Yes USA
## 231 Liberal In Informed Informed Yes USA
## 232 Liberal In Informed Informed Yes USA
## 233 Liberal In Informed Informed Yes USA
## 234 Liberal In Informed Informed Yes USA
## 235 Liberal In Informed Informed Yes USA
## 236 Liberal In Informed Informed Yes USA
## 237 Liberal In Informed Informed Yes USA
## 238 Liberal In Informed Informed Yes USA
Structure of Organ donation data
url_structure <- str(url)
## 'data.frame': 238 obs. of 21 variables:
## $ country : chr "Australia" "Australia" "Australia" "Australia" ...
## $ year : int NA 1991 1992 1993 1994 1995 1996 1997 1998 1999 ...
## $ donors : num NA 12.1 12.3 12.5 10.2 ...
## $ pop : int 17065 17284 17495 17667 17855 18072 18311 18518 18711 18926 ...
## $ pop.dens : num 0.22 0.223 0.226 0.228 0.231 ...
## $ gdp : int 16774 17171 17914 18883 19849 21079 21923 22961 24148 25445 ...
## $ gdp.lag : int 16591 16774 17171 17914 18883 19849 21079 21923 22961 24148 ...
## $ health : num 1300 1379 1455 1540 1626 ...
## $ health.lag : num 1224 1300 1379 1455 1540 ...
## $ pubhealth : num 4.8 5.4 5.4 5.4 5.4 5.5 5.6 5.7 5.9 6.1 ...
## $ roads : num 137 122 113 111 108 ...
## $ cerebvas : int 682 647 630 611 631 592 576 525 516 493 ...
## $ assault : int 21 19 17 18 17 16 17 17 16 15 ...
## $ external : int 444 425 406 376 387 371 395 385 410 409 ...
## $ txp.pop : num 0.938 0.926 0.915 0.906 0.896 ...
## $ world : chr "Liberal" "Liberal" "Liberal" "Liberal" ...
## $ opt : chr "In" "In" "In" "In" ...
## $ consent.law : chr "Informed" "Informed" "Informed" "Informed" ...
## $ consent.practice: chr "Informed" "Informed" "Informed" "Informed" ...
## $ consistent : chr "Yes" "Yes" "Yes" "Yes" ...
## $ ccode : chr "Oz" "Oz" "Oz" "Oz" ...
gapminder data
library(gapminder)
## Warning: package 'gapminder' was built under R version 4.2.1
gapminder
## # A tibble: 1,704 × 6
## country continent year lifeExp pop gdpPercap
## <fct> <fct> <int> <dbl> <int> <dbl>
## 1 Afghanistan Asia 1952 28.8 8425333 779.
## 2 Afghanistan Asia 1957 30.3 9240934 821.
## 3 Afghanistan Asia 1962 32.0 10267083 853.
## 4 Afghanistan Asia 1967 34.0 11537966 836.
## 5 Afghanistan Asia 1972 36.1 13079460 740.
## 6 Afghanistan Asia 1977 38.4 14880372 786.
## 7 Afghanistan Asia 1982 39.9 12881816 978.
## 8 Afghanistan Asia 1987 40.8 13867957 852.
## 9 Afghanistan Asia 1992 41.7 16317921 649.
## 10 Afghanistan Asia 1997 41.8 22227415 635.
## # … with 1,694 more rows
scatter plot of gapminder
plot_gap <- ggplot(data = gapminder,
mapping = aes(x = gdpPercap, y = lifeExp, color = 'red'))
plot_gap + geom_point()
