EDA Python - 26_Energy_consumption

This video tutorial guides viewers through a data analysis project using Python. It involves downloading electricity consumption data from the UK government website, mapping it geographically, and visualizing it with Plotly. The tutorial covers setting up a virtual environment, installing necessary packages, and preparing the data for analysis. It demonstrates how to clean and merge data, convert coordinate systems, and generate visualizations. Advanced insights into energy consumption are explored, and results are saved as CSV files.

How many records are there in the energy consumption data?

What is the median value of energy consumption per year in the dataset?

What is the threshold for the top percentile of energy consumption?

What is the final output of the high consumption data saved as?