This data analysis project examines product injury data published by the US Consumer Product Safety Commission.
| Source | Description | Link |
|---|---|---|
| US Consumer Product Safety Commission | Injury data | US Consumre Product Safety Commission |
Data prep was completed using Python in JupyterLab. Data visualization was done in Tableau.
| Tool / Library | Version |
|---|---|
| Python | 3.12.2 |
| JupyterLab | 4.1.2 |
| Pandas | 2.2.0 |
| Tableau | 2024.1 |
| Name | Description |
|---|---|
| data | Folder containing scrubbed codes and description data |
| code | Jupyter notebooks containing data prep |
| Product Injury Presentation.pdf | Project description and findings, created in PowerPoint, saved in PDF |
| Product Injury.twb | Tableau workbook containaing analysis |
| Product Injury.tbwx | Tableau packaged workbook containing data and analysis |
| Asset | License / Use Policy |
|---|---|
| Original Code | MIT License |
| NIESS Injury Data | Federal Open Data Policy |