Row
Chart A
S.No States sunnytotalaccnumber sunnytotalccrank
Length:37 Length:37 Min. : 1 Min. : 1.00
Class :character Class :character 1st Qu.: 314 1st Qu.: 9.75
Mode :character Mode :character Median : 3614 Median :18.50
Mean : 18818 Mean :18.50
3rd Qu.: 17111 3rd Qu.:27.25
Max. :348137 Max. :36.00
NA's :1
sunnypersonkilledno sunnypersonkilledrank
Min. : 1 Min. : 1.00
1st Qu.: 90 1st Qu.: 9.75
Median : 1456 Median :18.50
Mean : 5669 Mean :18.50
3rd Qu.: 5880 3rd Qu.:27.25
Max. :104883 Max. :36.00
NA's :1
SunnyPersons Injured GreviouslyInjured SunnyPersonsInjuredMinor Injury
Min. : 1 Min. : 0
1st Qu.: 96 1st Qu.: 143
Median : 1282 Median : 1117
Mean : 6971 Mean : 12305
3rd Qu.: 4155 3rd Qu.: 7128
Max. :128956 Max. :227638
SunnyPersonsInjuredTotalInjured RainyTotalAccidents RainyPersons Killed
Min. : 1 Min. : 0 Min. : 0.0
1st Qu.: 300 1st Qu.: 71 1st Qu.: 21.0
Median : 3477 Median : 259 Median : 121.0
Mean : 19275 Mean : 2379 Mean : 788.6
3rd Qu.: 15715 3rd Qu.: 1610 3rd Qu.: 534.0
Max. :356594 Max. :44011 Max. :14590.0
RainyPersonsInjuredGreviouslyInjured Rainy - Persons Injured - Minor Injury
Min. : 0 Min. : 0
1st Qu.: 22 1st Qu.: 28
Median : 107 Median : 163
Mean : 1049 Mean : 1384
3rd Qu.: 684 3rd Qu.: 985
Max. :19414 Max. :25596
Rainy - Persons Injured - Total Injured Foggy & Misty - Total Accidents
Min. : 0 Min. : 0
1st Qu.: 86 1st Qu.: 26
Median : 397 Median : 229
Mean : 2433 Mean : 1515
3rd Qu.: 1385 3rd Qu.: 1050
Max. :45010 Max. :28026
Foggy & Misty - Persons Killed FoggyMistyPersonsInjuredGreviouslyInjured
Min. : 0.0 Min. : 0.0
1st Qu.: 4.0 1st Qu.: 16.0
Median : 143.0 Median : 93.0
Mean : 640.1 Mean : 645.3
3rd Qu.: 400.0 3rd Qu.: 555.0
Max. :11841.0 Max. :11938.0
FoggyMistyPersonInjuredMinorInjury FoggyMistyPersonsInjuredTotal Injured
Min. : 0.0 Min. : 0
1st Qu.: 2.0 1st Qu.: 16
Median : 131.0 Median : 358
Mean : 720.4 Mean : 1366
3rd Qu.: 408.0 3rd Qu.: 1027
Max. :13327.0 Max. :25265
HailSleetTotal Accidents Hail/Sleet - Persons Killed
Min. : 0.0 Min. : 0.0
1st Qu.: 0.0 1st Qu.: 0.0
Median : 4.0 Median : 0.0
Mean : 222.4 Mean : 114.8
3rd Qu.: 55.0 3rd Qu.: 28.0
Max. :4114.0 Max. :2123.0
Hail/Sleet - Persons Injured - Greviously Injured
Min. : 0.0
1st Qu.: 0.0
Median : 0.0
Mean : 102.4
3rd Qu.: 39.0
Max. :1895.0
HailSleetPersonsInjuredMinorInjury HailSleetPersons Injured TotalInjured
Min. : 0.0 Min. : 0.0
1st Qu.: 0.0 1st Qu.: 0.0
Median : 0.0 Median : 5.0
Mean : 118.1 Mean : 220.5
3rd Qu.: 29.0 3rd Qu.: 49.0
Max. :2185.0 Max. :4080.0
OthersTotal Accidents Others PersonsKilled
Min. : 0 Min. : 0.0
1st Qu.: 0 1st Qu.: 0.0
Median : 75 Median : 22.0
Mean : 2311 Mean : 971.9
3rd Qu.: 1784 3rd Qu.: 860.0
Max. :42756 Max. :17980.0
OthersPersonsInjuredGreviouslyInjured OthersPersonsInjuredMinorInjury
Min. : 0.0 Min. : 0
1st Qu.: 0.0 1st Qu.: 0
Median : 38.0 Median : 28
Mean : 888.5 Mean : 1191
3rd Qu.: 652.0 3rd Qu.: 1067
Max. :16438.0 Max. :22031
OthersPersonsInjuredTotalInjured
Min. : 0
1st Qu.: 0
Median : 94
Mean : 2079
3rd Qu.: 1616
Max. :38469
spc_tbl_ [37 × 29] (S3: spec_tbl_df/tbl_df/tbl/data.frame)
$ S.No : chr [1:37] "1" "2" "3" "4" ...
$ States : chr [1:37] "Andhra Pradesh" "Arunachal Pradesh" "Assam" "Bihar" ...
$ sunnytotalaccnumber : num [1:37] 19793 80 3891 5532 8132 ...
$ sunnytotalccrank : num [1:37] 7 32 16 14 11 19 10 15 21 17 ...
$ sunnypersonkilledno : num [1:37] 5880 49 1456 3966 2615 ...
$ sunnypersonkilledrank : num [1:37] 9 29 18 10 15 23 7 16 19 22 ...
$ SunnyPersons Injured GreviouslyInjured : num [1:37] 4155 64 2969 3030 1420 ...
$ SunnyPersonsInjuredMinor Injury : num [1:37] 14306 27 508 706 5921 ...
$ SunnyPersonsInjuredTotalInjured : num [1:37] 18461 91 3477 3736 7341 ...
$ RainyTotalAccidents : num [1:37] 852 71 1555 1980 1610 ...
$ RainyPersons Killed : num [1:37] 282 47 525 1276 487 ...
$ RainyPersonsInjuredGreviouslyInjured : num [1:37] 435 61 1525 1034 258 ...
$ Rainy - Persons Injured - Minor Injury : num [1:37] 582 28 279 299 1127 ...
$ Rainy - Persons Injured - Total Injured : num [1:37] 1017 89 1804 1333 1385 ...
$ Foggy & Misty - Total Accidents : num [1:37] 1305 40 1018 2088 579 ...
$ Foggy & Misty - Persons Killed : num [1:37] 506 26 315 1487 224 ...
$ FoggyMistyPersonsInjuredGreviouslyInjured : num [1:37] 575 30 570 1242 167 ...
$ FoggyMistyPersonInjuredMinorInjury : num [1:37] 686 19 235 368 408 ...
$ FoggyMistyPersonsInjuredTotal Injured : num [1:37] 1261 49 805 1610 575 ...
$ HailSleetTotal Accidents : num [1:37] 55 0 34 0 0 0 0 301 4 4 ...
$ Hail/Sleet - Persons Killed : num [1:37] 28 0 9 0 0 0 0 138 1 0 ...
$ Hail/Sleet - Persons Injured - Greviously Injured: num [1:37] 10 0 47 0 0 0 0 66 1 0 ...
$ HailSleetPersonsInjuredMinorInjury : num [1:37] 35 0 2 0 0 0 0 312 11 5 ...
$ HailSleetPersons Injured TotalInjured : num [1:37] 45 0 49 0 0 0 0 378 12 5 ...
$ OthersTotal Accidents : num [1:37] 2470 86 1750 0 3543 ...
$ Others PersonsKilled : num [1:37] 860 53 661 0 1266 ...
$ OthersPersonsInjuredGreviouslyInjured : num [1:37] 1292 66 853 0 652 ...
$ OthersPersonsInjuredMinorInjury : num [1:37] 1380 28 387 0 2762 ...
$ OthersPersonsInjuredTotalInjured : num [1:37] 2672 94 1240 0 3414 ...
- attr(*, "spec")=
.. cols(
.. S.No = col_character(),
.. States = col_character(),
.. sunnytotalaccnumber = col_double(),
.. sunnytotalccrank = col_double(),
.. sunnypersonkilledno = col_double(),
.. sunnypersonkilledrank = col_double(),
.. `SunnyPersons Injured GreviouslyInjured` = col_double(),
.. `SunnyPersonsInjuredMinor Injury` = col_double(),
.. SunnyPersonsInjuredTotalInjured = col_double(),
.. RainyTotalAccidents = col_double(),
.. `RainyPersons Killed` = col_double(),
.. RainyPersonsInjuredGreviouslyInjured = col_double(),
.. `Rainy - Persons Injured - Minor Injury` = col_double(),
.. `Rainy - Persons Injured - Total Injured` = col_double(),
.. `Foggy & Misty - Total Accidents` = col_double(),
.. `Foggy & Misty - Persons Killed` = col_double(),
.. FoggyMistyPersonsInjuredGreviouslyInjured = col_double(),
.. FoggyMistyPersonInjuredMinorInjury = col_double(),
.. `FoggyMistyPersonsInjuredTotal Injured` = col_double(),
.. `HailSleetTotal Accidents` = col_double(),
.. `Hail/Sleet - Persons Killed` = col_double(),
.. `Hail/Sleet - Persons Injured - Greviously Injured` = col_double(),
.. HailSleetPersonsInjuredMinorInjury = col_double(),
.. `HailSleetPersons Injured TotalInjured` = col_double(),
.. `OthersTotal Accidents` = col_double(),
.. `Others PersonsKilled` = col_double(),
.. OthersPersonsInjuredGreviouslyInjured = col_double(),
.. OthersPersonsInjuredMinorInjury = col_double(),
.. OthersPersonsInjuredTotalInjured = col_double()
.. )
- attr(*, "problems")=<externalptr> [1] 37 29# A tibble: 6 × 28
States sunnytotalaccnumber sunnytotalccrank sunnypersonkilledno
<chr> <dbl> <dbl> <dbl>
1 Andhra Pradesh 19793 7 5880
2 Arunachal Pradesh 80 32 49
3 Assam 3891 16 1456
4 Bihar 5532 14 3966
5 Chhattisgarh 8132 11 2615
6 Goa 3482 19 239
# ℹ 24 more variables: sunnypersonkilledrank <dbl>,
# `SunnyPersons Injured GreviouslyInjured` <dbl>,
# `SunnyPersonsInjuredMinor Injury` <dbl>,
# SunnyPersonsInjuredTotalInjured <dbl>, RainyTotalAccidents <dbl>,
# `RainyPersons Killed` <dbl>, RainyPersonsInjuredGreviouslyInjured <dbl>,
# `Rainy - Persons Injured - Minor Injury` <dbl>,
# `Rainy - Persons Injured - Total Injured` <dbl>, … States
0
sunnytotalaccnumber
0
sunnytotalccrank
1
sunnypersonkilledno
0
sunnypersonkilledrank
1
SunnyPersons Injured GreviouslyInjured
0
SunnyPersonsInjuredMinor Injury
0
SunnyPersonsInjuredTotalInjured
0
RainyTotalAccidents
0
RainyPersons Killed
0
RainyPersonsInjuredGreviouslyInjured
0
Rainy - Persons Injured - Minor Injury
0
Rainy - Persons Injured - Total Injured
0
Foggy & Misty - Total Accidents
0
Foggy & Misty - Persons Killed
0
FoggyMistyPersonsInjuredGreviouslyInjured
0
FoggyMistyPersonInjuredMinorInjury
0
FoggyMistyPersonsInjuredTotal Injured
0
HailSleetTotal Accidents
0
Hail/Sleet - Persons Killed
0
Hail/Sleet - Persons Injured - Greviously Injured
0
HailSleetPersonsInjuredMinorInjury
0
HailSleetPersons Injured TotalInjured
0
OthersTotal Accidents
0
Others PersonsKilled
0
OthersPersonsInjuredGreviouslyInjured
0
OthersPersonsInjuredMinorInjury
0
OthersPersonsInjuredTotalInjured
0 States
0
sunnytotalaccnumber
0
sunnytotalccrank
0
sunnypersonkilledno
0
sunnypersonkilledrank
0
SunnyPersons Injured GreviouslyInjured
0
SunnyPersonsInjuredMinor Injury
0
SunnyPersonsInjuredTotalInjured
0
RainyTotalAccidents
0
RainyPersons Killed
0
RainyPersonsInjuredGreviouslyInjured
0
Rainy - Persons Injured - Minor Injury
0
Rainy - Persons Injured - Total Injured
0
Foggy & Misty - Total Accidents
0
Foggy & Misty - Persons Killed
0
FoggyMistyPersonsInjuredGreviouslyInjured
0
FoggyMistyPersonInjuredMinorInjury
0
FoggyMistyPersonsInjuredTotal Injured
0
HailSleetTotal Accidents
0
Hail/Sleet - Persons Killed
0
Hail/Sleet - Persons Injured - Greviously Injured
0
HailSleetPersonsInjuredMinorInjury
0
HailSleetPersons Injured TotalInjured
0
OthersTotal Accidents
0
Others PersonsKilled
0
OthersPersonsInjuredGreviouslyInjured
0
OthersPersonsInjuredMinorInjury
0
OthersPersonsInjuredTotalInjured
0 Chart B
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Chart C
Chart D
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chart E
chart F
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chart G
chart H
Row
chart I
