Borasa-code/Python-Data-Analysis-Project-Ghana-Crop-Production-Story

# Ghana Crop Production Analysis (2000-2012) I created this Python project to showcase my data analysis skills using real agricultural data from Ghana's Ministry of Food and Agriculture. Through pandas and matplotlib, I transformed raw data into compelling insights about crop production trends. ## Skills Demonstrated - **Data Cleaning**: Handled inconsistencies and missing values - **Data Transformation**: Reshaped data for analysis - **Exploratory Analysis**: Identified key trends and patterns - **Data Visualization**: Created informative charts - **Storytelling**: Developed narrative from data insights - **Python Proficiency**: Used pandas, matplotlib, and numpy ## Key Insights - Cassava dominates production, growing 79% since 2000 - Yam production surged 97% over 12 years - Cocoyam declined 22% despite overall agricultural growth - 2007 was a crisis year for northern crops like sorghum - Cassava shows accelerating growth patterns ## Files 1. `crop_analysis.py`: Main analysis script 2. `crop_production_plots.png`: Output visualizations 3. `Crop_Production_metric_tonnes_MOFA_2013.csv`: Dataset