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This repository comprises the final assignment submission for the Coursera course, "Applied Plotting, Charting and Data Representation in Python" offered by the University of Michigan.

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📊 Final Assignment Submission - Applied Plotting, Charting and Data Representation in Python

Coursera Course: Applied Plotting, Charting and Data Representation in Python by University of Michigan

Objective

This submission focuses on comparing weekday vs. weekday average demand values and monthly demand changes.

Insights

  • Weekends exhibit lower energy demand compared to weekdays, likely due to weekly holidays.
  • During January-February, demand decreases due to the Chinese New Year, a major holiday period.
  • Energy demand rises from March to May, correlating with the summer season and increased appliance usage (e.g., air-conditioners).
  • June experiences an abrupt energy demand decrease due to academic institution break periods.
  • Post-summer, the demand gradually decreases throughout the rest of the year.

Data Source

The original data was collected from this source.

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This repository comprises the final assignment submission for the Coursera course, "Applied Plotting, Charting and Data Representation in Python" offered by the University of Michigan.

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