dataProfilerR: automated exploratory data analysis

dataProfilerR profiles a data frame with a single call. It infers column types, quantifies missingness, computes distributional statistics, runs normality tests, detects outliers, measures correlation, and rolls the findings into a data-quality score. It also builds a set of ggplot2 visualisations. The main entry point is profile_data(), which returns a data_profile S3 object with print(), summary() and plot() methods.

Design

The package uses the S3 object system. The profiling result is a plain list with class "data_profile", which keeps the structure transparent and easy to inspect, serialise, and extend. S4 would add formality (and overhead) that an EDA result object does not need.

See also

Useful links:

• https://github.com/mqfarooqi1/dataProfilerR

• Report bugs at https://github.com/mqfarooqi1/dataProfilerR/issues

Author

Maintainer: Muhammad Farooqi mqfarooqi@gmail.com

Authors:

• Muhammad Farooqi mqfarooqi@gmail.com