📅 2024-09-28 — Session: Finalized dataset and extrapolation for forecasting
🕒 16:05–16:45
🏷️ Labels: Data Analysis, Forecasting, Python, Pandas, Extrapolation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to finalize a dataset for model fitting by extending the DataFrame with forecasted values, ensuring continuity, and preparing it for future analysis.
Key Activities
- Developed Python scripts to extend a DataFrame (
combined_df) to January 2025 using linear extrapolation and a combination of linear extrapolation with median month differences. - Implemented extrapolation functions to handle individual last valid dates for various time series columns.
- Corrected the extrapolation method to ensure each series is handled independently, avoiding NaN issues.
- Merged extrapolated values into the existing DataFrame, ensuring proper alignment and avoiding new row creation.
- Automated the filling of NaN values in DataFrame columns using extrapolated data and cleaned up redundant columns.
Achievements
- Successfully extended the dataset to include forecasted values up to January 2025.
- Ensured accurate forecasting by handling each time series independently and correcting extrapolation methods.
- Improved data integrity by merging extrapolated values correctly and cleaning up the DataFrame.
Pending Tasks
- Validate the forecasted dataset through model fitting and performance evaluation to ensure its readiness for predictive analysis.