Based on what you’ve learned until now, use NumPy, pandas, matplotlib and seaborn to create a project of your choosing.

This project must at least satisfy the following minimum requirements:

• Choose a public dataset that needs to clean and preprocess.

• EDA

  • Apply the essential EDA steps: head, shape, info, describe, and missing values.
  • Apply the additional EDA steps based on your dataset needs.

• Data Visualization

  • Drive meaningful insights (at least 10 different charts, 5 of them are unique).
  • Draw a subplot using the previous charts.
  • Apply chart format including:
    • Choose a specific style for your charts.
    • Apply one color palette from your choice on all charts.
    • Use title, x and y labels, font size, figure size, and legends.

• Use pandas profiling.

• Report your final conclusion and findings in one page (readme markdown file).

  • Team members and their responsibilities.
  • Introduction (problem, objectives).
  • Dataset Overview and Source.
  • Describe the final ten insights.

• The Final presentation will be on Sunday (10 min for each group).

• Due Date: Sat, 12 Aug, 11:00 pm

• Notebook file(.ipynb).
• Dataset file.
• README.md file.