| # Datacard for Congo, Rep. Digital Development Indicators (1960-2024) |
|
|
| This dataset contains a time-series of key digital development indicators for Congo, Rep., 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**: Congo, Rep. |
| - **Format**: Comma-Separated Values (CSV) |
|
|
| --- |
|
|
| ## Data Points (Features) |
|
|
| The dataset includes the following digital development indicators, with 'Year' serving as the primary date column: |
|
|
| 1. `fixed_broadband_subscriptions_per_100_people_`: Fixed broadband subscriptions (per 100 people) |
| 2. `individuals_using_the_internet_of_population_`: Individuals using the Internet (% of population) |
| 3. `mobile_cellular_subscriptions_per_100_people_`: Mobile cellular subscriptions (per 100 people) |
|
|
| --- |
|
|
| ## 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 'Congo, Rep.'. |
| 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. |
|
|