README.md

In jtr13/datacat: Function to Help Explore and Categorize Datasets

datacat

Function to Help Explore and Categorize Datasets

Install with:

install.packages("remotes")
remotes::install_github("jtr13/datacat")

This package has one function, data_xray(), which provides an overview of all datasets in a package or packages. It is an alternative to data() which only provides the names of the datasets and short descriptions. This function works at the package level.

To get info on all loaded datasets, use data_xray().

To get info on any specific packages, include the package names, such as: data_xray(c("ggplot2", "pgmm"))

It is helpful to view the results with View(). If viewing the output in the Console, it's helpful to increase the printing width with options(width = 100).

Output

Output columns are as follows:

• package name of package (optional)
• name name of dataset
• nr_or_len number of rows or length() (whichever is not NULL)
• nc number of columns
• add_dim additional dimensions (>= 3, such as for tables)
• first_class first class listed
• n_cols number of numeric columns
• i_cols number of integer columns
• f_cols number of factor columns
• c_cols number of character columns
• d_cols number of date columns
• other_cols number of other columns
• missing proportion of missing values overall
• allclasses full list of classes (optional)

Examples

> library(datacat)
> data_xray()
# A tibble: 104 x 12
   package  name           nr_or_len nc    add_dim first_class    n_cols i_cols f_cols c_cols d_cols other_cols
   <chr>    <chr>          <chr>     <chr> <chr>   <chr>           <dbl>  <dbl>  <dbl>  <dbl>  <dbl>      <dbl>
 1 datasets AirPassengers  144       NA    NA      ts                 NA     NA     NA     NA     NA         NA
 2 datasets BJsales        150       NA    NA      ts                 NA     NA     NA     NA     NA         NA
 3 datasets BJsales.lead   150       NA    NA      ts                 NA     NA     NA     NA     NA         NA
 4 datasets BOD            6         2     NA      data.frame          2      0      0      0      0          0
 5 datasets CO2            84        5     NA      nfnGroupedData      2      0      3      0      0          0
 6 datasets ChickWeight    578       4     NA      nfnGroupedData      2      0      2      0      0          0
 7 datasets DNase          176       3     NA      nfnGroupedData      2      0      1      0      0          0
 8 datasets EuStockMarkets 1860      4     NA      mts                 4      0      0      0      0          0
 9 datasets Formaldehyde   6         2     NA      data.frame          2      0      0      0      0          0
10 datasets HairEyeColor   4         4     2       table              NA     NA     NA     NA     NA         NA
# … with 94 more rows

> data_xray(c("pgmm", "ggplot2"))
# A tibble: 14 x 12
   package name           nr_or_len nc    add_dim first_class n_cols i_cols f_cols c_cols d_cols other_cols
   <chr>   <chr>          <chr>     <chr> <chr>   <chr>        <dbl>  <dbl>  <dbl>  <dbl>  <dbl>      <dbl>
 1 pgmm    coffee         43        14    NA      data.frame      13      0      1      0      0          0
 2 pgmm    olive          572       10    NA      data.frame      10      0      0      0      0          0
 3 pgmm    wine           178       28    NA      data.frame      28      0      0      0      0          0
 4 ggplot2 diamonds       53940     10    NA      tbl_df           6      1      3      0      0          0
 5 ggplot2 economics      574       6     NA      spec_tbl_df      5      0      0      0      1          0
 6 ggplot2 economics_long 2870      4     NA      tbl_df           2      0      0      1      1          0
 7 ggplot2 faithfuld      5625      3     NA      tbl_df           3      0      0      0      0          0
 8 ggplot2 luv_colours    657       4     NA      data.frame       3      0      0      1      0          0
 9 ggplot2 midwest        437       28    NA      tbl_df          15     10      0      3      0          0
10 ggplot2 mpg            234       11    NA      tbl_df           1      4      0      6      0          0
11 ggplot2 msleep         83        11    NA      tbl_df           6      0      0      5      0          0
12 ggplot2 presidential   11        4     NA      tbl_df           0      0      0      2      2          0
13 ggplot2 seals          1155      4     NA      tbl_df           4      0      0      0      0          0
14 ggplot2 txhousing      8602      9     NA      tbl_df           6      2      0      1      0          0

jtr13/datacat documentation built on Nov. 14, 2021, 9:11 p.m.