This Python project uses Pandas and Matplotlib to analyze and visualize parcel delivery issues from a CSV dataset. It lets users interactively filter data and display graphs to understand patterns in parcel problems and solutions.
- Filter issues by
issue_typeand show a pie chart of how common it is across the whole dataset. - View a bar or line chart of the total number of parcels for a chosen issue type.
- See how different
solution_types (e.g., manual fix, simple fix) relate to specific issues. - Plot how issues are spread across different locations.
- Clean user interface via command-line prompts.
- Pie Chart β Proportion of a specific issue type in the dataset.
- Bar Chart β Compare totals for solution types or locations.
- Line Chart β Visualise totals over categories like solution type (user can choose line or bar).
- Python 3
- Pandas
- Matplotlib