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bomregions

CRAN

Australian and Related Historical Annual Climate Data, by Region

Rows
10934 columns
Size
3,706cells
Missing values
89in 2 columns
Other packages, method
0none holds the same data

About

Class
data.frame
Kind
data.frame
File
data/bomregions.RData
In version
1.25.7

Columns

  1. Yearnumeric19002008
    Lowest
    1900
    Lower quartile
    1927
    Median
    1954
    Mean
    1954
    Upper quartile
    1981
    Highest
    2008
    Standard deviation
    31.6
    Distinct
    109
  2. seAVtnumeric13.516
    Lowest
    13.5
    Lower quartile
    14.3
    Median
    14.6
    Mean
    14.7
    Upper quartile
    15.1
    Highest
    16
    Standard deviation
    0.543
    Skewness
    0.406
    Distinct
    85
  3. southAVtnumeric17.320
    Lowest
    17.3
    Lower quartile
    18.2
    Median
    18.5
    Mean
    18.6
    Upper quartile
    18.9
    Highest
    20
    Standard deviation
    0.573
    Skewness
    0.382
    Distinct
    81
  4. eastAVtnumeric19.322
    Lowest
    19.3
    Lower quartile
    20.1
    Median
    20.4
    Mean
    20.5
    Upper quartile
    20.9
    Highest
    22
    Standard deviation
    0.597
    Skewness
    0.513
    Distinct
    79
  5. northAVtnumeric23.526
    Lowest
    23.5
    Lower quartile
    24.3
    Median
    24.6
    Mean
    24.6
    Upper quartile
    25
    Highest
    26
    Standard deviation
    0.572
    Skewness
    0.409
    Distinct
    89
  6. swAVtnumeric14.917.5
    Lowest
    14.9
    Lower quartile
    15.7
    Median
    16.2
    Mean
    16.2
    Upper quartile
    16.7
    Highest
    17.5
    Standard deviation
    0.584
    Skewness
    0.074
    Distinct
    87
  7. qldAVtnumeric21.824.8
    Lowest
    21.8
    Lower quartile
    22.8
    Median
    23.1
    Mean
    23.2
    Upper quartile
    23.6
    Highest
    24.8
    Standard deviation
    0.652
    Outliers
    1 high
    Skewness
    0.429
    Distinct
    84
  8. nswAVtnumeric1619
    Lowest
    16
    Lower quartile
    16.9
    Median
    17.3
    Mean
    17.3
    Upper quartile
    17.7
    Highest
    19
    Standard deviation
    0.629
    Skewness
    0.498
    Distinct
    85
  9. ntAVtnumeric23.826.7
    Lowest
    23.8
    Lower quartile
    24.6
    Median
    25
    Mean
    25.1
    Upper quartile
    25.6
    Highest
    26.7
    Standard deviation
    0.662
    Skewness
    0.302
    Distinct
    89
  10. saAVtnumeric18.221.1
    Lowest
    18.2
    Lower quartile
    19
    Median
    19.4
    Mean
    19.5
    Upper quartile
    19.9
    Highest
    21.1
    Standard deviation
    0.644
    Skewness
    0.296
    Distinct
    84
  11. tasAVtnumeric9.2311.3
    Lowest
    9.23
    Lower quartile
    9.93
    Median
    10.2
    Mean
    10.2
    Upper quartile
    10.6
    Highest
    11.3
    Standard deviation
    0.478
    Skewness
    0.171
    Distinct
    86
  12. vicAVtnumeric1315.3
    Lowest
    13
    Lower quartile
    13.6
    Median
    14
    Mean
    14
    Upper quartile
    14.4
    Highest
    15.3
    Standard deviation
    0.53
    Skewness
    0.336
    Distinct
    84
  13. waAVtnumeric21.223.6
    Lowest
    21.2
    Lower quartile
    22.1
    Median
    22.4
    Mean
    22.5
    Upper quartile
    22.8
    Highest
    23.6
    Standard deviation
    0.503
    Skewness
    0.287
    Distinct
    81
  14. mdbAVtnumeric16.419.4
    Lowest
    16.4
    Lower quartile
    17.3
    Median
    17.7
    Mean
    17.7
    Upper quartile
    18.1
    Highest
    19.4
    Standard deviation
    0.63
    Skewness
    0.51
    Distinct
    84
  15. ausAVtnumeric20.623.1
    Lowest
    20.6
    Lower quartile
    21.4
    Median
    21.7
    Mean
    21.8
    Upper quartile
    22.1
    Highest
    23.1
    Standard deviation
    0.537
    Skewness
    0.447
    Distinct
    85
  16. seRainnumeric367.2916.8
    Lowest
    367.2
    Lower quartile
    566.7
    Median
    627.8
    Mean
    625.5
    Upper quartile
    688.1
    Highest
    916.8
    Standard deviation
    104.3
    Outliers
    2 low, 2 high
    Skewness
    0.034
    Distinct
    109
  17. southRainnumeric241.2598.1
    Lowest
    241.2
    Lower quartile
    339.2
    Median
    371.2
    Mean
    382.2
    Upper quartile
    430.2
    Highest
    598.1
    Standard deviation
    66.3
    Outliers
    1 high
    Skewness
    0.437
    Distinct
    108
  18. eastRainnumeric330.51015
    Lowest
    330.5
    Lower quartile
    512.4
    Median
    596.4
    Mean
    605.2
    Upper quartile
    682.8
    Highest
    1015
    Standard deviation
    120.9
    Outliers
    3 high
    Skewness
    0.71
    Distinct
    109
  19. northRainnumeric316.6905.6
    Lowest
    316.6
    Lower quartile
    426.7
    Median
    505.5
    Mean
    511.3
    Upper quartile
    574.8
    Highest
    905.6
    Standard deviation
    107.3
    Outliers
    2 high
    Skewness
    0.911
    Distinct
    109
  20. swRainnumeric439.11037
    Lowest
    439.1
    Lower quartile
    622.5
    Median
    681.2
    Mean
    683.1
    Upper quartile
    744.8
    Highest
    1037
    Standard deviation
    109.4
    Outliers
    1 low, 3 high
    Skewness
    0.369
    Distinct
    109
More columns (14)
  1. qldRainnumeric288.61105
    Lowest
    288.6
    Lower quartile
    508.3
    Median
    607.2
    Mean
    610.8
    Upper quartile
    699.2
    Highest
    1105
    Standard deviation
    148
    Outliers
    3 high
    Skewness
    0.599
    Distinct
    109
  2. nswRainnumeric302.7905.6
    Lowest
    302.7
    Lower quartile
    435.6
    Median
    513.1
    Mean
    518.9
    Upper quartile
    597.8
    Highest
    905.6
    Standard deviation
    114.7
    Outliers
    1 high
    Skewness
    0.399
    Distinct
    108
  3. ntRainnumeric241.4992.5
    Lowest
    241.4
    Lower quartile
    415
    Median
    486.8
    Mean
    514.7
    Upper quartile
    577.1
    Highest
    992.5
    Standard deviation
    134
    Outliers
    3 high
    Skewness
    1.021
    Distinct
    109
  4. saRainnumeric111.4484.4
    Lowest
    111.4
    Lower quartile
    166.4
    Median
    200.9
    Mean
    212.4
    Upper quartile
    252.5
    Highest
    484.4
    Standard deviation
    64.3
    Outliers
    2 high
    Skewness
    1.013
    Distinct
    109
  5. tasRainnumeric10381837
    Lowest
    1038
    Lower quartile
    1263
    Median
    1394
    Mean
    1408
    Upper quartile
    1568
    Highest
    1837
    Standard deviation
    194.8
    Skewness
    0.252
    Distinct
    109
  6. vicRainnumeric362.8924.6
    Lowest
    362.8
    Lower quartile
    583.8
    Median
    661.8
    Mean
    646.9
    Upper quartile
    717.8
    Highest
    924.6
    Standard deviation
    115.9
    Outliers
    3 low, 1 high
    Skewness
    -0.201
    Distinct
    109
  7. waRainnumeric168595.9
    Lowest
    168
    Lower quartile
    282.8
    Median
    335.3
    Mean
    340.6
    Upper quartile
    383.9
    Highest
    595.9
    Standard deviation
    79.5
    Outliers
    2 high
    Skewness
    0.599
    Distinct
    109
  8. mdbRainnumeric258.1786.5
    Lowest
    258.1
    Lower quartile
    388.3
    Median
    466.4
    Mean
    467.4
    Upper quartile
    536.6
    Highest
    786.5
    Standard deviation
    107.5
    Outliers
    2 high
    Skewness
    0.294
    Distinct
    108
  9. ausRainnumeric314.5759.7
    Lowest
    314.5
    Lower quartile
    397
    Median
    438.4
    Mean
    452.3
    Upper quartile
    497.3
    Highest
    759.7
    Standard deviation
    79.8
    Outliers
    3 high
    Skewness
    0.949
    Distinct
    108
  10. SOInumeric-2020.8
    Lowest
    -20
    Lower quartile
    -3.8
    Median
    0.5
    Mean
    -0.0067
    Upper quartile
    4.2
    Highest
    20.8
    Standard deviation
    6.845
    Outliers
    1 low, 1 high
    Skewness
    -0.038
    Distinct
    109
  11. sunspotnumeric2.4269.3
    Lowest
    2.4
    Lower quartile
    27.9
    Median
    76.1
    Mean
    89.6
    Upper quartile
    134.6
    Highest
    269.3
    Standard deviation
    68.3
    Skewness
    0.624
    Distinct
    107
  12. co2mlonumeric316385.654.1% missing
    Lowest
    316
    Lower quartile
    326.6
    Median
    343.9
    Mean
    345.7
    Upper quartile
    362.2
    Highest
    385.6
    Standard deviation
    21.1
    Skewness
    0.266
    Distinct
    50
    Missing
    59 (54%)
  13. co2lawnumeric295.8333.727.5% missing
    Lowest
    295.8
    Lower quartile
    302.9
    Median
    310.1
    Mean
    310.4
    Upper quartile
    315.3
    Highest
    333.7
    Standard deviation
    9.586
    Skewness
    0.622
    Distinct
    72
    Missing
    30 (28%)
  14. CO2numeric296.3385.6
    Lowest
    296.3
    Lower quartile
    306.3
    Median
    312.9
    Mean
    324.4
    Upper quartile
    340.1
    Highest
    385.6
    Standard deviation
    24.6
    Skewness
    0.956
    Distinct
    102

In other packages

Mostly the same column names

PackageDatasetNames in common
gamclassbomregions2018ausAVt ausRain CO2 co2law co2mlo eastAVt eastRain mdbAVt mdbRain northAVt northRain nswAVt nswRain ntAVt ntRain qldAVt qldRain saAVt saRain seAVt seRain SOI southAVt southRain sunspot swAVt swRain tasAVt tasRain vicAVt vicRain waAVt waRain Year
ForecastFrameworkbomregionsCO2 co2law co2mlo eastAVt eastRain mdbAVt mdbRain northAVt northRain seAVt seRain SOI southAVt southRain sunspot swAVt swRain Year

Names in common say nothing about what a column holds.

History

VersionsReleasesRowsColumns
1.25.3 to 1.25.7410934
0.99-1 to 1.242210922