Vw/synthetic data analysis

[vivwqy]

• Cleaned notebook for synthetic data analysis - contains malawi and togo analysis results. Code in the notebook aims to easily replicate analysis for new datasets.
• Added an analysis_helper.py file consisting of functions to run analysis.
• Added small logging line for featurizer.core.py since multiple errors came from preprocessing that filtered all data, leaving empty processed data.

[Copilot]

Pull request overview

Adds reusable utilities to support synthetic data analysis workflows (Malawi/Togo and future datasets) and improves observability in the CIDER preprocessing pipeline when filtering removes all rows.

Changes:

• Added notebooks/analysis_helper.py with helper functions for describing data, plotting, preprocessing/featurization, and simple modeling evaluation utilities.
• Added an info log in preprocess_data to surface when date filtering yields zero rows for a given schema.

Reviewed changes

Copilot reviewed 2 out of 3 changed files in this pull request and generated 6 comments.

File	Description
src/cider/featurizer/core.py	Adds logging for empty post-filter datasets inside preprocess_data.
notebooks/analysis_helper.py	Introduces notebook-focused helper functions for analysis, plotting, preprocessing/featurization, and k-fold evaluation.

---

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

[Copilot]

Pull request overview

Copilot reviewed 2 out of 3 changed files in this pull request and generated 5 comments.

---

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

[vivwqy]

Main reviews:

1. Updated featurizer core.py:

• preprocessing and featurize functions
• add handling and loggings for several cases with missing data/ possible error cases

2. Updated analysis_helper.py based on reviews.
3. Updated notebooks synthetic_data_analysis and demo_pipeline based on updated functions.
4. Added python version for mypy in precommit to be able to handle match-case structure.

[poornimaramesh]

Looks good, thanks! We can return to this when we start up work again -- I think we should think about how to present / set this up so it can be reused with any arbitrary data.
I'd prefer to leave this as is for now.

Feel free to merge at wiil.