Update README.md

README.md

@@ -1,3 +1,67 @@
----
-license: gpl
----
+---
+license: gpl
+language:
+- en
+tags:
+- Agriculture
+- Africa
+- Crop-production
+size_categories:
+- 1K<n<10K
+---
+# Africa Crop Production Index (2014-2016 = 100) Dataset
+
+## Overview
+This dataset contains crop production index (2014-2016 = 100) data for African countries from the World Bank.
+
+## Data Details
+- **Indicator Code**: AG.PRD.CROP.XD
+- **Description**: Crop production index (2014-2016 = 100)
+- **Geographic Coverage**: 54 African countries
+- **Time Period**: 1961-2022
+- **Data Points**: 3,182 observations
+- **Coverage**: 90.66% of possible country-year combinations
+
+## File Formats
+
+### Main Dataset (`ag_prd_crop_xd_africa.csv`)
+- **Rows**: 54 countries
+- **Columns**: 65 years (1960-2024)
+- **Structure**: Countries as rows, years as columns
+- **Missing Value Treatment**: Interpolation → Forward Fill → Backward Fill
+- **Use Case**: Cross-sectional analysis, heatmaps, correlation analysis
+
+## Data Quality
+
+### Coverage Statistics
+- **Total Observations**: 3,182
+- **Possible Observations**: 3,510
+- **Coverage Rate**: 90.66%
+
+### Countries with No Data
+0 countries have no observations:
+None
+
+## Usage Examples
+
+### Python
+```python
+import pandas as pd
+
+# Load main dataset
+df = pd.read_csv('ag_prd_crop_xd_africa.csv', index_col=[0, 1])
+```
+
+### R
+```r
+# Load main dataset
+df <- read.csv('ag_prd_crop_xd_africa.csv', row.names=c(1,2))
+```
+
+## Source
+World Bank Open Data - Crop production index (2014-2016 = 100)
+- **Original File**: API_AG.PRD.CROP.XD_DS2_en_excel_v2_20512.xls
+- **Processed**: 2025-08-24
+
+## License
+This dataset is derived from World Bank Open Data and is available under the Creative Commons Attribution 4.0 International License.