pandas-profiling

This is a GitHub project that easily allows you to create a report from a pandas DataFrame. The package will present the following measures in an interactive HTML report, which is used to evaluate the data at hand for a data science project:

• Essentials, such as type, unique values, and missing values
• Quantile statistics, such as minimum value, Q1, median, Q3, maximum, range, and interquartile range
• Descriptive statistics such as mean, mode, standard deviation, sum, median absolute deviation, the coefficient of variation, kurtosis, and skewness
• Most frequent values
• Histograms
• Correlations highlighting highly correlated variables, and Spearman and Pearson matrixes

Here is all the information about this package:

• Website: https://github.com/pandas-profiling/pandas-profiling
• Version at the time of print: 1.4.1
• Suggested install command: pip install pandas-profiling