fg-data-profiling

Del README

pip uninstall ydata-profiling

• Type inference: automatic detection of columns' data types (Categorical, Numerical, Date, etc.)
• Warnings: A summary of the problems/challenges in the data that you might need to work on (missing data, inaccuracies, skewness, etc.)
• Univariate analysis: including descriptive statistics (mean, median, mode, etc) and informative visualizations such as distribution histograms
• Multivariate analysis: including correlations, a detailed analysis of missing data, duplicate rows, and visual support for variables pairwise interaction
• Time-Series: including different statistical information relative to time dependent data such as auto-correlation and seasonality, along ACF and PACF plots.
• Text analysis: most common categories (uppercase, lowercase, separator), scripts (Latin, Cyrillic) and blocks (ASCII, Cyrilic)

Extractos del README del proyecto sobre GitHub. Los derechos de autor y las licencias permanecen con los respectivos autores.