Exploratory Data Analysis

Pandas Profiling

Automate your exploratory data analysis (EDA) analysis with one line of code!

• When I start working on any new dataset, I subconsciously follow the same set of EDA steps to understand the data better.

• The pandas’ #!python df.describe() function is too basic for serious EDA work, so I manually create many plots and summary statistics. Most of the time, I need to Google for some specific syntax or solve some coding bug. All this makes the whole EDA process quite tedious at times.

Enter Pandas profiling!

• Pandas profiling is an open-source Python library that automates many of those “best-known methods” in EDA to prepare a detailed interactive report with just 1 line of code!

• You can then click through the various tabs and analyze the results without manually creating everything yourself. What a time saver!

• Specifically, Pandas profiling automatically calculates column statistics, plots histograms, correlation coefficients, etc.

pip install pandas-profiling

🌟 Github: https://github.com/ydataai/pandas-profiling

▶️ Play with it on Binder