Pandas Profiling

• Download Pandas Profiling Jupyter Notebook here

Pandas Profiling is built on-top of Pandas with the features of generating reports from a pandas dataframe. The describe() method from pandas is great to use by a little basic for serious exploratory data analysis.

For each column of the following statistics:

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

How to install (non-anaconda users)

Note: Use terminal (Mac/Linux Users), command prompt (Windows Users)

How to install anaconda users)

Note: use Anaconda-Prompt