Conducting Exploratory Data Analysis

About this guided project

Conduct exploratory data analysis with a systematic approach to investigate different aspects of your data: comparisons, relationships, compositions, and distributions. This guided project gives you a framework so you can conduct your own exploratory data analysis and make your work more professional and organized. The language is Python and the libraries used are seaborn, pandas, and matplotlib.

What skills will you gain?

Data Visualization Software

Exploratory Data Analysis

Data Analysis

Statistical Visualization

Data Visualization

Matplotlib

Plot (Graphics)

Data Presentation

Data Science

Statistical Analysis