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6c3ad5d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | # Datacard for Central African Republic Governance Indicators (1960-2024)
This dataset contains a time-series of key governance indicators for Central African Republic, spanning from 1960 to 2024. The data has been aggregated from multiple sources, cleaned, and processed into a single, analysis-ready CSV file.
The raw data was sourced from **The World Bank** data portal. The original files were provided in Excel (.xls) format.
- **Temporal Coverage**: 1960-2024
- **Geographic Coverage**: Central African Republic
- **Format**: Comma-Separated Values (CSV)
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## Data Points (Features)
The dataset includes the following governance indicators, with 'Year' serving as the primary date column:
1. `central_government_debt_total_of_gdp_`: Central government debt, total (% of GDP)
2. `military_expenditure_of_gdp_`: Military expenditure (% of GDP)
3. `statistical_performance_indicators_spi_overall_score_scale_0_100_`: Statistical performance indicators (SPI): Overall score (scale 0-100)
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## Data Preparation & Missing Data Handling
The raw data was processed using a Python script to transform it into a clean, structured format. The key steps were:
1. **Filtering**: The data was filtered to include only records for 'Central African Republic'.
2. **Reshaping**: The original wide-format data (years as columns) was melted into a long format.
3. **Merging**: Data from all indicator files was merged into a single DataFrame on 'Year'.
4. **Handling Missing Data**: Missing values (`NaN`) were filled using a two-step strategy: linear interpolation followed by a back-fill to handle any remaining gaps at the start of the series.
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