Battery Dataset

Context

I created data analysis of some real life sample data looking at the Car battery incidents. This was done using Python, Excel, Jupiter notebook and Power BI.

Actions

  • 🔹 Step 1: Clean the database and remove duplicates, missing numbers and remove columns to reduce the file size.
  • 🔹 Step 2: Use Jupiter Notebook /Python to read in the files look through the data.
  • 🔹 Step 3: Visualize the data using Power BI and create plots.
  • 🔹 Step 4: Looked at the trends and then put the results on Power BI to create a dashboard.

Result

Below is the result.

GitHub Repository

  • 📝 Summary of Key Findings:
    • Using Python to clean spreadsheets and reduce file sizes.

    • Data Visualization.

    • Creating Dashboards using PowerBI.

    • Jupiter Notebook.

Future Considerations

  • 💡 Potential improvements:
    1. Further Analysis.