Data-Centric-AI-Community / fg-data-profiling

What it does

• 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.