library(readr)
agr_land = read_csv("agricultural_land.csv")
## Rows: 266 Columns: 59
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (1): Country Name
## dbl (58): 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, ...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Data Summary
summary(agr_land)
## Country Name 1961 1962 1963
## Length:266 Min. : 0.2628 Min. : 0.2692 Min. : 0.2628
## Class :character 1st Qu.:19.4833 1st Qu.:19.5038 1st Qu.:19.4688
## Mode :character Median :34.9276 Median :35.1086 Median :35.5682
## Mean :35.6881 Mean :35.7259 Mean :35.8865
## 3rd Qu.:51.2212 3rd Qu.:51.3026 3rd Qu.:51.3266
## Max. :93.4407 Max. :92.8408 Max. :92.2237
## NA's :44 NA's :44 NA's :44
## 1964 1965 1966 1967
## Min. : 0.2949 Min. : 0.3013 Min. : 0.2821 Min. : 0.2756
## 1st Qu.:19.4937 1st Qu.:19.8243 1st Qu.:19.8243 1st Qu.:19.8243
## Median :35.8167 Median :35.8870 Median :35.8255 Median :35.9245
## Mean :35.9758 Mean :36.0919 Mean :36.1553 Mean :36.1934
## 3rd Qu.:51.3266 3rd Qu.:51.3266 3rd Qu.:51.9907 3rd Qu.:51.6480
## Max. :91.8981 Max. :91.2639 Max. :90.9325 Max. :90.5552
## NA's :44 NA's :44 NA's :44 NA's :44
## 1968 1969 1970 1971
## Min. : 0.2756 Min. : 0.3013 Min. : 0.3077 Min. : 0.3333
## 1st Qu.:19.8243 1st Qu.:19.8167 1st Qu.:19.8144 1st Qu.:19.8953
## Median :36.2749 Median :36.4729 Median :36.5015 Median :36.8581
## Mean :36.2628 Mean :36.3656 Mean :36.2802 Mean :36.2528
## 3rd Qu.:51.7917 3rd Qu.:51.4263 3rd Qu.:51.3266 3rd Qu.:51.2054
## Max. :90.5552 Max. :90.5353 Max. :90.5559 Max. :90.5552
## NA's :44 NA's :44 NA's :44 NA's :44
## 1972 1973 1974 1975
## Min. : 0.3397 Min. : 0.359 Min. : 0.3654 Min. : 0.3718
## 1st Qu.:19.7761 1st Qu.:19.946 1st Qu.:19.9935 1st Qu.:20.0017
## Median :36.9200 Median :37.055 Median :37.0355 Median :37.0772
## Mean :36.2634 Mean :36.405 Mean :36.3778 Mean :36.3156
## 3rd Qu.:51.3870 3rd Qu.:51.331 3rd Qu.:51.4068 3rd Qu.:52.0281
## Max. :90.5552 Max. :90.555 Max. :90.5552 Max. :90.5552
## NA's :44 NA's :44 NA's :44 NA's :44
## 1976 1977 1978 1979
## Min. : 0.3782 Min. : 0.391 Min. : 0.3974 Min. : 0.4103
## 1st Qu.:20.0182 1st Qu.:20.114 1st Qu.:20.1780 1st Qu.:20.0453
## Median :37.0048 Median :37.098 Median :37.2851 Median :37.4422
## Mean :36.3832 Mean :36.452 Mean :36.5322 Mean :36.5586
## 3rd Qu.:52.4258 3rd Qu.:52.563 3rd Qu.:53.0990 3rd Qu.:52.9042
## Max. :87.0758 Max. :86.853 Max. :86.6244 Max. :86.3958
## NA's :44 NA's :44 NA's :44 NA's :44
## 1980 1981 1982 1983
## Min. : 0.4423 Min. : 0.468 Min. : 0.4808 Min. : 0.4808
## 1st Qu.:19.9959 1st Qu.:19.996 1st Qu.:19.9946 1st Qu.:19.9946
## Median :37.5177 Median :37.600 Median :37.7926 Median :37.1340
## Mean :36.6103 Mean :36.649 Mean :36.6259 Mean :36.6241
## 3rd Qu.:52.9669 3rd Qu.:52.500 3rd Qu.:52.6494 3rd Qu.:52.5264
## Max. :86.1673 Max. :86.007 Max. :85.8245 Max. :85.6588
## NA's :44 NA's :44 NA's :45 NA's :45
## 1984 1985 1986 1987
## Min. : 0.4936 Min. : 0.5192 Min. : 0.5385 Min. : 0.5641
## 1st Qu.:19.9946 1st Qu.:20.0000 1st Qu.:20.0000 1st Qu.:20.4546
## Median :37.8744 Median :38.1651 Median :37.7708 Median :37.8466
## Mean :36.8234 Mean :36.9063 Mean :36.9821 Mean :37.0490
## 3rd Qu.:52.3112 3rd Qu.:52.1798 3rd Qu.:51.2859 3rd Qu.:51.7984
## Max. :85.4874 Max. :85.3217 Max. :85.1046 Max. :84.8932
## NA's :45 NA's :45 NA's :45 NA's :45
## 1988 1989 1990 1991
## Min. : 0.5641 Min. : 0.5641 Min. : 0.5641 Min. : 0.5705
## 1st Qu.:20.6151 1st Qu.:20.5111 1st Qu.:20.6642 1st Qu.:20.4546
## Median :38.0108 Median :38.1087 Median :38.0607 Median :37.4183
## Mean :37.1318 Mean :37.1224 Mean :36.8069 Mean :36.4811
## 3rd Qu.:51.8346 3rd Qu.:51.7171 3rd Qu.:51.4580 3rd Qu.:51.0064
## Max. :84.7846 Max. :84.6875 Max. :85.2303 Max. :85.2531
## NA's :45 NA's :45 NA's :45 NA's :41
## 1992 1993 1994 1995
## Min. : 0.5705 Min. : 0.5705 Min. : 0.5705 Min. : 0.5705
## 1st Qu.:21.9123 1st Qu.:22.5286 1st Qu.:21.9362 1st Qu.:22.0802
## Median :37.2298 Median :37.0370 Median :36.9420 Median :37.0370
## Mean :37.4445 Mean :37.5509 Mean :37.3756 Mean :37.4077
## 3rd Qu.:52.4094 3rd Qu.:52.7094 3rd Qu.:52.1666 3rd Qu.:52.1336
## Max. :85.2760 Max. :85.3045 Max. :85.3274 Max. :85.3503
## NA's :16 NA's :13 NA's :13 NA's :13
## 1996 1997 1998 1999
## Min. : 0.5705 Min. : 0.5641 Min. : 0.5641 Min. : 0.5641
## 1st Qu.:22.3805 1st Qu.:22.6667 1st Qu.:22.8571 1st Qu.:22.6631
## Median :37.0370 Median :37.1843 Median :37.2746 Median :37.3944
## Mean :37.4082 Mean :37.4733 Mean :37.4990 Mean :37.5885
## 3rd Qu.:52.1880 3rd Qu.:51.7491 3rd Qu.:51.8678 3rd Qu.:51.0660
## Max. :85.3674 Max. :85.3902 Max. :85.4188 Max. :85.4417
## NA's :13 NA's :13 NA's :13 NA's :13
## 2000 2001 2002 2003
## Min. : 0.5641 Min. : 0.5513 Min. : 0.4744 Min. : 0.516
## 1st Qu.:21.5490 1st Qu.:21.1527 1st Qu.:21.2382 1st Qu.:21.231
## Median :37.4373 Median :37.5669 Median :37.5229 Median :37.732
## Mean :37.5481 Mean :37.5136 Mean :37.4950 Mean :37.488
## 3rd Qu.:51.8353 3rd Qu.:51.8523 3rd Qu.:51.0647 3rd Qu.:50.339
## Max. :85.4645 Max. :85.4874 Max. :85.2645 Max. :85.287
## NA's :12 NA's :12 NA's :12 NA's :12
## 2004 2005 2006 2007
## Min. : 0.4968 Min. : 0.4667 Min. : 0.4667 Min. : 0.4487
## 1st Qu.:21.2411 1st Qu.:21.3905 1st Qu.:21.2365 1st Qu.:21.3078
## Median :36.9876 Median :36.9717 Median :37.1232 Median :37.2093
## Mean :37.3305 Mean :37.2268 Mean :37.1775 Mean :37.1530
## 3rd Qu.:50.4565 3rd Qu.:50.0817 3rd Qu.:49.5176 3rd Qu.:50.0000
## Max. :84.7275 Max. :84.7446 Max. :83.9618 Max. :83.1334
## NA's :12 NA's :12 NA's :10 NA's :9
## 2008 2009 2010 2011
## Min. : 0.4538 Min. : 0.5154 Min. : 0.5019 Min. : 0.5128
## 1st Qu.:21.3510 1st Qu.:21.9015 1st Qu.:22.1737 1st Qu.:22.4176
## Median :37.3105 Median :37.3914 Median :37.2674 Median :37.4105
## Mean :37.2292 Mean :37.2513 Mean :37.2662 Mean :37.3208
## 3rd Qu.:49.6822 3rd Qu.:49.7584 3rd Qu.:49.0253 3rd Qu.:48.8629
## Max. :83.8418 Max. :84.6418 Max. :82.4649 Max. :82.9962
## NA's :10 NA's :10 NA's :10 NA's :8
## 2012 2013 2014 2015
## Min. : 0.4692 Min. : 0.5333 Min. : 0.5654 Min. : 0.5577
## 1st Qu.:22.5990 1st Qu.:21.9313 1st Qu.:22.1350 1st Qu.:22.7875
## Median :37.5964 Median :37.5479 Median :37.5404 Median :38.0324
## Mean :37.3367 Mean :37.2148 Mean :37.1417 Mean :37.2512
## 3rd Qu.:48.9096 3rd Qu.:48.5086 3rd Qu.:48.6509 3rd Qu.:48.5951
## Max. :81.3050 Max. :81.9318 Max. :81.6752 Max. :81.6684
## NA's :8 NA's :8 NA's :8 NA's :8
## 2016 2017 2018
## Min. : 0.5577 Min. : 0.5385 Min. : 0.5385
## 1st Qu.:22.7240 1st Qu.:22.7228 1st Qu.:22.7272
## Median :38.1027 Median :37.9813 Median :38.0247
## Mean :37.2471 Mean :37.2832 Mean :37.2705
## 3rd Qu.:48.5951 3rd Qu.:48.5469 3rd Qu.:48.5469
## Max. :80.7647 Max. :80.7694 Max. :80.7693
## NA's :8 NA's :9 NA's :9
Including Plots
land_total = colSums(agr_land[,-1],na.rm = TRUE)
year = c(1961:2018)
land_total = data.frame(year,land_total)
plot(land_total)
