inspectdf is collection of utilities for columnwise summary, comparison and visualisation of data frames. Functions are provided to summarise missingness, categorical levels, numeric distribution, correlation, column types and memory usage.

The package has three aims:

• to speed up repetitive checking and exploratory tasks for data frames
• to make it easier to compare data frames for differences and inconsistencies
• to support quick visualisation of data frames

Check out the package website for further documentation and examples.

To install the development version of the package, use

devtools::install_github("alastairrushworth/inspectdf")

To install the CRAN version of the package, use

install.packages("inspectdf")

• inspect_types() summary of column types
• inspect_mem() summary of memory usage of columns
• inspect_na() columnwise prevalence of missing values
• inspect_cor() correlation coefficients of numeric columns
• inspect_imb() feature imbalance of categorical columns
• inspect_num() summaries of numeric columns
• inspect_cat() summaries of categorical columns