Data exploration A complete review and analysis of the dataset including: Load and describe data elements (columns), provide descriptions & types, ranges and values of elements as appropriate - use...

Data exploration

A complete review and analysis of the dataset including:

1. Load and describe data elements (columns), provide descriptions & types, ranges and values of elements as appropriate - use pandas, numpy and any other python packages.


2. Statistical assessments including means, averages, and correlations.


3. Missing data evaluations – use pandas, numpy, and any other python packages.


4. Graphs and visualizations – use pandas, matplotlib, seaborn, numpy, and any other python packages. You can also use power BI desktop.