boston
CRANbenchmark_datasets
- Rows
- 50614 columns
- Size
- 7,084cells
- Missing values
- 0in any column
- Other packages, method
Method
R objects in datasets
The datasets inside packages are read from their
data/folders when the code is analysed. Each object is described by its class, its shape and its columns, and fingerprinted so the same data can be found in other packages.- Loadable only
- Only objects that load by name with
data()are listed, 76,180 on CRAN and 8,045 on Bioconductor, so the list is not every file indata/. - As R prints them
- Each dataset is read as one of these shapes, each drawn the way R prints it. Under each is how many datasets have that shape, and its most common classes lead to those datasets.
- Columns
- Tables open to their columns, and each kind of column has figures of its own.
- Fingerprint
- Each object's values are fingerprinted, so the same data in another package is found whatever its name. On CRAN 8,314 datasets hold data that is also in another package, 4,094 distinct pieces of data in all.
- 0none holds the same data
About
- Class
- data.frame
- Kind
- data.frame
- File
data/benchmark_datasets.RData- In version
- 1.4.2
Columns
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
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
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
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
chasfactor0 93%1 7%Level Rows Share 0 471 93% 1 35 7% 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
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
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
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
radnumeric124- Lowest
- 1
- Lower quartile
- 4
- Median
- 5
- Mean
- 9.549
- Upper quartile
- 24
- Highest
- 24
- Standard deviation
- 8.707
- Skewness
- 0.999
- Distinct
- 9
taxnumeric187711- Lowest
- 187
- Lower quartile
- 279
- Median
- 330
- Mean
- 408.2
- Upper quartile
- 666
- Highest
- 711
- Standard deviation
- 168.5
- Skewness
- 0.666
- Distinct
- 66
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
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
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
Mostly the same column names
| Package | Dataset | Names in common |
|---|---|---|
| ascentTraining | boston | age b chas crim dis indus lstat medv nox ptratio rad rm tax zn |
| IPAG | Housing | AGE B CHAS CRIM DIS INDUS LSTAT MEDV NOX PTRATIO RAD RM TAX ZN |
| lightsf | boston_pts | AGE B CHAS CRIM DIS INDUS LSTAT MEDV NOX PTRATIO RAD RM TAX ZN |
| mangoTraining | boston | age b chas crim dis indus lstat medv nox ptratio rad rm tax zn |
| mlbench | BostonHousing | age b chas crim dis indus lstat medv nox ptratio rad rm tax zn |
| mlbench | BostonHousing2 | age b chas crim dis indus lstat medv nox ptratio rad rm tax zn |
| nodeHarvest | BostonHousing | age b chas crim dis indus lstat medv nox ptratio rad rm tax zn |
| RFpredInterval | BostonHousing | age b chas crim dis indus lstat medv nox ptratio rad rm tax zn |
| spData | boston.c | AGE B CHAS CRIM DIS INDUS LSTAT MEDV NOX PTRATIO RAD RM TAX ZN |
| BiDAG | Boston | age chas crim dis indus lstat medv nox ptratio rad rm tax zn |
Names in common say nothing about what a column holds.