Carolkinyua-hub/Kasi_dataset

African Economic and Bank Survey # Survey Data Analysis ## Features - **Data Cleaning:** Remove duplicates, standardize columns, combine multiple bank-related questions. - **Analysis:** Pivot tables by **country** and **gender**, Chi-square tests, 95% confidence intervals. - **Dashboard:** One-page summary of insights. ## Files - `raw_survey_data.csv` – Original survey dataset. - `cleaned_data.xlsx` – English-only, cleaned, combined dataset. - `analysis_summary.xlsx` – Pivot tables, statistical results, charts. - `scripts/` – Python scripts for data processing and analysis. - **One-Pager :** View Canva One-Pager - **Colab Notebook:** Open in Google Colab ## Usage 1. Open the **Colab notebook** to run the analysis or modify for new survey data. 2. View the **Canva one-pager** for a quick visual summary. 3. Explore **Excel files** for detailed pivot tables and statistics. ## Recommendations - Automate cleaning and analysis with Python scripts for future surveys. - Apply insights to tailor marketing, service, and interface strategies based on **gender** and **country** differences.