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
To install the CRAN version of the package, use
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
Comments? Suggestions? Issues?
Any feedback is welcome! Feel free to write a github issue or send me a message on twitter.