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boston.c

CRAN

Corrected Boston Housing Data

Rows
50620 columns
Size
10,120cells
Missing values
0in any column
Other packages, method
1hold the same data

About

Class
data.frame
Kind
data.frame
File
data/boston.rda
In version
2.3.5
Tables rows and named columns, each column of one type

Columns

  1. TOWNfactorCambridge 7%Boston Savin Hill 5%
    Levels with no rows
    42
    LevelRowsShare
    Cambridge307%
    Boston Savin Hill235%
    Lynn225%
    Boston Roxbury194%
    Newton184%
    Somerville153%
    Boston South Boston133%
    Boston East Boston123%
    Brookline123%
    Quincy123%
    Boston Dorchester113%
    Medford113%
    Waltham113%
    Framingham102%
    Malden92%
    Peabody92%
    Belmont82%
    Boston Allston-Brighton82%
    Boston Downtown82%
    Braintree82%
    Revere82%
    Weymouth82%
    Arlington72%
    Boston Forest Hills72%
    Everett72%
    Salem72%
    Beverly61%
    Boston Back Bay61%
    Boston Charlestown61%
    Boston Mattapan61%

    The largest 30 of 50 levels

  2. TOWNNOinteger091
    Lowest
    0
    Lower quartile
    26.3
    Median
    42
    Mean
    47.5
    Upper quartile
    78
    Highest
    91
    Standard deviation
    27.6
    Zeros
    1
    Skewness
    0.039
    Distinct
    92
  3. TRACTinteger15082
    Lowest
    1
    Lower quartile
    1303
    Median
    3394
    Mean
    2700
    Upper quartile
    3740
    Highest
    5082
    Standard deviation
    1,380
    Skewness
    -0.433
    Distinct
    506
  4. LONnumeric-71.3-70.8
    Lowest
    -71.3
    Lower quartile
    -71.1
    Median
    -71.1
    Mean
    -71.1
    Upper quartile
    -71
    Highest
    -70.8
    Standard deviation
    0.075
    Outliers
    25 low, 10 high
    Skewness
    -0.204
    Distinct
    375
  5. LATnumeric4242.4
    Lowest
    42
    Lower quartile
    42.2
    Median
    42.2
    Mean
    42.2
    Upper quartile
    42.3
    Highest
    42.4
    Standard deviation
    0.062
    Outliers
    9 low, 4 high
    Skewness
    -0.086
    Distinct
    376
  6. MEDVnumeric550
    Lowest
    5
    Lower quartile
    17
    Median
    21.2
    Mean
    22.5
    Upper quartile
    25
    Highest
    50
    Standard deviation
    9.197
    Outliers
    2 low, 38 high
    Skewness
    1.102
    Distinct
    229
  7. CMEDVnumeric550
    Lowest
    5
    Lower quartile
    17
    Median
    21.2
    Mean
    22.5
    Upper quartile
    25
    Highest
    50
    Standard deviation
    9.182
    Outliers
    2 low, 37 high
    Skewness
    1.104
    Distinct
    228
  8. CRIMnumeric0.006389
    Lowest
    0.0063
    Lower quartile
    0.082
    Median
    0.257
    Mean
    3.614
    Upper quartile
    3.677
    Highest
    89
    Standard deviation
    8.602
    Outliers
    66 high
    Skewness
    5.192
    Distinct
    504
  9. ZNnumeric0100
    Lowest
    0
    Lower quartile
    0
    Median
    0
    Mean
    11.4
    Upper quartile
    12.5
    Highest
    100
    Standard deviation
    23.3
    Outliers
    68 high
    Zeros
    372
    Skewness
    2.213
    Distinct
    26
  10. INDUSnumeric0.4627.7
    Lowest
    0.46
    Lower quartile
    5.19
    Median
    9.69
    Mean
    11.1
    Upper quartile
    18.1
    Highest
    27.7
    Standard deviation
    6.86
    Skewness
    0.293
    Distinct
    76
  11. CHASfactor0 93%1 7%
    LevelRowsShare
    047193%
    1357%
  12. NOXnumeric0.3850.871
    Lowest
    0.385
    Lower quartile
    0.449
    Median
    0.538
    Mean
    0.555
    Upper quartile
    0.624
    Highest
    0.871
    Standard deviation
    0.116
    Skewness
    0.725
    Distinct
    81
  13. RMnumeric3.5618.78
    Lowest
    3.561
    Lower quartile
    5.886
    Median
    6.209
    Mean
    6.285
    Upper quartile
    6.624
    Highest
    8.78
    Standard deviation
    0.703
    Outliers
    8 low, 22 high
    Skewness
    0.401
    Distinct
    446
  14. AGEnumeric2.9100
    Lowest
    2.9
    Lower quartile
    45
    Median
    77.5
    Mean
    68.6
    Upper quartile
    94.1
    Highest
    100
    Standard deviation
    28.1
    Skewness
    -0.595
    Distinct
    356
  15. DISnumeric1.1312.1
    Lowest
    1.13
    Lower quartile
    2.1
    Median
    3.208
    Mean
    3.795
    Upper quartile
    5.188
    Highest
    12.1
    Standard deviation
    2.106
    Outliers
    5 high
    Skewness
    1.006
    Distinct
    412
  16. RADinteger124
    Lowest
    1
    Lower quartile
    4
    Median
    5
    Mean
    9.549
    Upper quartile
    24
    Highest
    24
    Standard deviation
    8.707
    Skewness
    0.999
    Distinct
    9
  17. TAXinteger187711
    Lowest
    187
    Lower quartile
    279
    Median
    330
    Mean
    408.2
    Upper quartile
    666
    Highest
    711
    Standard deviation
    168.5
    Skewness
    0.666
    Distinct
    66
  18. PTRATIOnumeric12.622
    Lowest
    12.6
    Lower quartile
    17.4
    Median
    19.1
    Mean
    18.5
    Upper quartile
    20.2
    Highest
    22
    Standard deviation
    2.165
    Outliers
    15 low
    Skewness
    -0.798
    Distinct
    46
  19. Bnumeric0.32396.9
    Lowest
    0.32
    Lower quartile
    375.4
    Median
    391.4
    Mean
    356.7
    Upper quartile
    396.2
    Highest
    396.9
    Standard deviation
    91.3
    Outliers
    77 low
    Skewness
    -2.873
    Distinct
    357
  20. LSTATnumeric1.7338
    Lowest
    1.73
    Lower quartile
    6.95
    Median
    11.4
    Mean
    12.7
    Upper quartile
    17
    Highest
    38
    Standard deviation
    7.141
    Outliers
    7 high
    Skewness
    0.901
    Distinct
    455

In other packages

Same data

PackageDataset
lightsfboston_pts

Mostly the same column names

PackageDatasetNames in common
mlbenchBostonHousing2age b chas cmedv crim dis indus lat lon lstat medv nox ptratio rad rm tax town tract zn
pdpbostonage b chas cmedv crim dis indus lat lon lstat nox ptratio rad rm tax zn
ascentTrainingbostonage b chas crim dis indus lstat medv nox ptratio rad rm tax tract zn
mangoTrainingbostonage b chas crim dis indus lstat medv nox ptratio rad rm tax tract zn
bartMachinebostonage b chas crim dis indus lstat medv nox ptratio rad rm tax zn
IPAGHousingAGE B CHAS CRIM DIS INDUS LSTAT MEDV NOX PTRATIO RAD RM TAX ZN
mlbenchBostonHousingage b chas crim dis indus lstat medv nox ptratio rad rm tax zn
nodeHarvestBostonHousingage b chas crim dis indus lstat medv nox ptratio rad rm tax zn
RFpredIntervalBostonHousingage b chas crim dis indus lstat medv nox ptratio rad rm tax zn
BiDAGBostonage chas crim dis indus lstat medv nox ptratio rad rm tax zn

Names in common say nothing about what a column holds.

History

VersionsReleasesRowsColumns
0.2.6.2 to 2.3.52850620
0.2.5.0 to 0.2.6.0250620