Structure of the Dataset
'data.frame': 24 obs. of 38 variables:
$ Name..Year: chr "Gurdaspur" "Pathankot" "Amritsar" "Tarn Taran" ...
$ X2022 : logi NA NA NA NA NA NA ...
$ X2021 : logi NA NA NA NA NA NA ...
$ X2020 : int 0 0 29 0 44 14 0 0 4 21 ...
$ X2019 : int 0 0 13 0 0 0 0 0 0 0 ...
$ X2018 : int NA NA 13 NA NA NA NA NA NA NA ...
$ X2017 : int 0 0 13 0 0 0 0 0 0 0 ...
$ X2016 : int 0 0 13 0 0 0 0 0 0 0 ...
$ X2015 : int 0 0 7 0 0 0 0 0 0 0 ...
$ X2014 : int 0 0 27 0 0 0 0 0 0 0 ...
$ X2013 : int 0 0 18 0 0 0 0 0 0 0 ...
$ X2012 : int 0 0 14 0 0 0 0 0 0 0 ...
$ X2011 : int 0 0 14 0 0 0 0 0 0 0 ...
$ X2010 : int 0 0 14 0 0 0 0 0 0 0 ...
$ X2009 : int 0 0 15 0 0 0 0 0 0 0 ...
$ X2008 : logi NA NA NA NA NA NA ...
$ X2007 : int 0 NA 1 0 0 0 0 0 0 0 ...
$ X2006 : int 0 NA 1 0 0 0 0 0 0 0 ...
$ X2005 : int 0 NA 1 NA 0 0 0 0 0 NA ...
$ X2004 : int 0 NA 0 NA 0 0 0 0 0 NA ...
$ X2003 : int 0 NA 0 NA 0 0 0 0 0 NA ...
$ X2002 : int 0 NA 0 NA 0 0 0 0 0 NA ...
$ X2001 : int 0 NA 0 NA 0 0 0 0 0 NA ...
$ X2000 : int 0 NA 0 NA 0 0 0 0 0 NA ...
$ X1999 : int 0 NA 0 NA 0 0 0 0 0 NA ...
$ X1998 : logi NA NA NA NA NA NA ...
$ X1997 : int 0 NA 1 NA 0 0 0 0 0 NA ...
$ X1996 : int 0 NA 2 NA 0 0 0 0 0 NA ...
$ X1995 : int 0 NA 4 NA 0 0 0 0 0 NA ...
$ X1994 : int 0 NA 0 NA 0 0 0 0 0 NA ...
$ X1993 : int 0 NA 0 NA 0 0 0 0 0 NA ...
$ X1992 : int 0 NA 0 NA 0 0 0 0 0 NA ...
$ X1991 : int 0 NA 1 NA 0 0 0 0 0 NA ...
$ X1990 : int 0 NA 1 NA 0 0 0 0 0 NA ...
$ X1989 : int 0 NA 2 NA 0 0 0 0 0 NA ...
$ X1988 : int 0 NA 0 NA 0 0 0 0 0 NA ...
$ X1987 : int 0 NA 0 NA 0 0 0 0 0 NA ...
$ X1986 : int 0 NA 0 NA 0 0 0 0 0 NA ...
Summary
Name..Year X2022 X2021 X2020
Length:24 Mode:logical Mode:logical Min. : 0.00
Class :character NA's:24 NA's:24 1st Qu.: 0.00
Mode :character Median : 0.00
Mean : 29.83
3rd Qu.: 13.50
Max. :343.00
NA's :1
X2019 X2018 X2017 X2016
Min. : 0.000 Min. : 0.00 Min. : 0.000 Min. : 0.000
1st Qu.: 0.000 1st Qu.: 9.75 1st Qu.: 0.000 1st Qu.: 0.000
Median : 0.000 Median :33.50 Median : 0.000 Median : 0.000
Mean : 5.826 Mean :33.50 Mean : 5.826 Mean : 5.826
3rd Qu.: 0.000 3rd Qu.:57.25 3rd Qu.: 0.000 3rd Qu.: 0.000
Max. :67.000 Max. :67.00 Max. :67.000 Max. :67.000
NA's :1 NA's :20 NA's :1 NA's :1
X2015 X2014 X2013 X2012
Min. : 0.000 Min. : 0.000 Min. : 0.000 Min. : 0.000
1st Qu.: 0.000 1st Qu.: 0.000 1st Qu.: 0.000 1st Qu.: 0.000
Median : 0.000 Median : 0.000 Median : 0.000 Median : 0.000
Mean : 5.913 Mean : 7.913 Mean : 5.182 Mean : 4.818
3rd Qu.: 0.000 3rd Qu.: 0.000 3rd Qu.: 0.000 3rd Qu.: 0.000
Max. :68.000 Max. :91.000 Max. :57.000 Max. :53.000
NA's :1 NA's :1 NA's :2 NA's :2
X2011 X2010 X2009 X2008
Min. : 0.000 Min. : 0.000 Min. : 0.000 Mode:logical
1st Qu.: 0.000 1st Qu.: 0.000 1st Qu.: 0.000 NA's:24
Median : 0.000 Median : 0.000 Median : 0.000
Mean : 3.636 Mean : 3.636 Mean : 2.091
3rd Qu.: 0.000 3rd Qu.: 0.000 3rd Qu.: 0.000
Max. :40.000 Max. :40.000 Max. :23.000
NA's :2 NA's :2 NA's :2
X2007 X2006 X2005 X2004 X2003
Min. :0.0000 Min. :0.00000 Min. :0.0000 Min. :0 Min. :0
1st Qu.:0.0000 1st Qu.:0.00000 1st Qu.:0.0000 1st Qu.:0 1st Qu.:0
Median :0.0000 Median :0.00000 Median :0.0000 Median :0 Median :0
Mean :0.4762 Mean :0.09524 Mean :0.1111 Mean :0 Mean :0
3rd Qu.:0.0000 3rd Qu.:0.00000 3rd Qu.:0.0000 3rd Qu.:0 3rd Qu.:0
Max. :5.0000 Max. :1.00000 Max. :1.0000 Max. :0 Max. :0
NA's :3 NA's :3 NA's :6 NA's :6 NA's :6
X2002 X2001 X2000 X1999 X1998
Min. :0 Min. :0 Min. :0 Min. :0 Mode:logical
1st Qu.:0 1st Qu.:0 1st Qu.:0 1st Qu.:0 NA's:24
Median :0 Median :0 Median :0 Median :0
Mean :0 Mean :0 Mean :0 Mean :0
3rd Qu.:0 3rd Qu.:0 3rd Qu.:0 3rd Qu.:0
Max. :0 Max. :0 Max. :0 Max. :0
NA's :6 NA's :6 NA's :6 NA's :6
X1997 X1996 X1995 X1994 X1993
Min. :0.0000 Min. :0.0000 Min. :0.0000 Min. :0 Min. :0.00
1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0 1st Qu.:0.00
Median :0.0000 Median :0.0000 Median :0.0000 Median :0 Median :0.00
Mean :0.4444 Mean :0.3333 Mean :0.6667 Mean :0 Mean :0.25
3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0 3rd Qu.:0.00
Max. :4.0000 Max. :3.0000 Max. :6.0000 Max. :0 Max. :2.00
NA's :6 NA's :6 NA's :6 NA's :6 NA's :8
X1992 X1991 X1990 X1989
Min. :0.0 Min. :0.0000 Min. :0.0000 Min. :0.0000
1st Qu.:0.0 1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0.0000
Median :0.0 Median :0.0000 Median :0.0000 Median :0.0000
Mean :0.5 Mean :0.1429 Mean :0.1429 Mean :0.2857
3rd Qu.:0.0 3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0.0000
Max. :4.0 Max. :1.0000 Max. :1.0000 Max. :2.0000
NA's :8 NA's :10 NA's :10 NA's :10
X1988 X1987 X1986
Min. :0.0000 Min. :0.0000 Min. :0
1st Qu.:0.0000 1st Qu.:0.0000 1st Qu.:0
Median :0.0000 Median :0.0000 Median :0
Mean :0.1429 Mean :0.1429 Mean :0
3rd Qu.:0.0000 3rd Qu.:0.0000 3rd Qu.:0
Max. :1.0000 Max. :1.0000 Max. :0
NA's :10 NA's :10 NA's :10
Missing values
Name..Year X2022 X2021 X2020 X2019 X2018 X2017
0 24 24 1 1 20 1
X2016 X2015 X2014 X2013 X2012 X2011 X2010
1 1 1 2 2 2 2
X2009 X2008 X2007 X2006 X2005 X2004 X2003
2 24 3 3 6 6 6
X2002 X2001 X2000 X1999 X1998 X1997 X1996
6 6 6 6 24 6 6
X1995 X1994 X1993 X1992 X1991 X1990 X1989
6 6 8 8 10 10 10
X1988 X1987 X1986
10 10 10
Univariate
Distribution of numerical variables
## Boxplots for numerical variables
Bivariate
Multivariate
vars n mean sd median trimmed mad min max range skew
Name..Year* 1 24 12.50 7.07 12.5 12.50 8.90 1 24 23 0.00
X2022 2 0 NaN NA NA NaN NA Inf -Inf -Inf NA
X2021 3 0 NaN NA NA NaN NA Inf -Inf -Inf NA
X2020 4 23 29.83 79.94 0.0 7.58 0.00 0 343 343 2.99
X2019 5 23 5.83 17.57 0.0 0.68 0.00 0 67 67 2.70
X2018 6 4 33.50 32.07 33.5 33.50 40.03 0 67 67 0.00
X2017 7 23 5.83 17.57 0.0 0.68 0.00 0 67 67 2.70
X2016 8 23 5.83 17.57 0.0 0.68 0.00 0 67 67 2.70
X2015 9 23 5.91 16.64 0.0 1.26 0.00 0 68 68 2.75
X2014 10 23 7.91 21.94 0.0 1.95 0.00 0 91 91 2.76
X2013 11 22 5.18 14.64 0.0 1.00 0.00 0 57 57 2.57
X2012 12 22 4.82 13.83 0.0 0.78 0.00 0 53 53 2.59
X2011 13 22 3.64 10.19 0.0 0.78 0.00 0 40 40 2.55
X2010 14 22 3.64 10.19 0.0 0.78 0.00 0 40 40 2.55
X2009 15 22 2.09 5.86 0.0 0.44 0.00 0 23 23 2.55
X2008 16 0 NaN NA NA NaN NA Inf -Inf -Inf NA
X2007 17 21 0.48 1.36 0.0 0.06 0.00 0 5 5 2.52
X2006 18 21 0.10 0.30 0.0 0.00 0.00 0 1 1 2.56
X2005 19 18 0.11 0.32 0.0 0.06 0.00 0 1 1 2.27
X2004 20 18 0.00 0.00 0.0 0.00 0.00 0 0 0 NaN
X2003 21 18 0.00 0.00 0.0 0.00 0.00 0 0 0 NaN
X2002 22 18 0.00 0.00 0.0 0.00 0.00 0 0 0 NaN
X2001 23 18 0.00 0.00 0.0 0.00 0.00 0 0 0 NaN
X2000 24 18 0.00 0.00 0.0 0.00 0.00 0 0 0 NaN
X1999 25 18 0.00 0.00 0.0 0.00 0.00 0 0 0 NaN
X1998 26 0 NaN NA NA NaN NA Inf -Inf -Inf NA
X1997 27 18 0.44 1.15 0.0 0.25 0.00 0 4 4 2.22
X1996 28 18 0.33 0.84 0.0 0.19 0.00 0 3 3 2.19
X1995 29 18 0.67 1.68 0.0 0.38 0.00 0 6 6 2.19
X1994 30 18 0.00 0.00 0.0 0.00 0.00 0 0 0 NaN
X1993 31 16 0.25 0.68 0.0 0.14 0.00 0 2 2 2.06
X1992 32 16 0.50 1.37 0.0 0.29 0.00 0 4 4 2.06
X1991 33 14 0.14 0.36 0.0 0.08 0.00 0 1 1 1.83
X1990 34 14 0.14 0.36 0.0 0.08 0.00 0 1 1 1.83
X1989 35 14 0.29 0.73 0.0 0.17 0.00 0 2 2 1.83
X1988 36 14 0.14 0.36 0.0 0.08 0.00 0 1 1 1.83
X1987 37 14 0.14 0.36 0.0 0.08 0.00 0 1 1 1.83
X1986 38 14 0.00 0.00 0.0 0.00 0.00 0 0 0 NaN
kurtosis se
Name..Year* -1.35 1.44
X2022 NA NA
X2021 NA NA
X2020 8.13 16.67
X2019 5.85 3.66
X2018 -2.32 16.03
X2017 5.85 3.66
X2016 5.85 3.66
X2015 6.63 3.47
X2014 6.84 4.57
X2013 5.46 3.12
X2012 5.42 2.95
X2011 5.48 2.17
X2010 5.48 2.17
X2009 5.48 1.25
X2008 NA NA
X2007 4.88 0.30
X2006 4.81 0.07
X2005 3.36 0.08
X2004 NaN 0.00
X2003 NaN 0.00
X2002 NaN 0.00
X2001 NaN 0.00
X2000 NaN 0.00
X1999 NaN 0.00
X1998 NA NA
X1997 3.47 0.27
X1996 3.54 0.20
X1995 3.54 0.40
X1994 NaN 0.00
X1993 2.40 0.17
X1992 2.40 0.34
X1991 1.45 0.10
X1990 1.45 0.10
X1989 1.45 0.19
X1988 1.45 0.10
X1987 1.45 0.10
X1986 NaN 0.00
