|
|
--- |
|
|
license: gpl |
|
|
tags: |
|
|
- climate |
|
|
- finance |
|
|
- biology |
|
|
size_categories: |
|
|
- 100K<n<1M |
|
|
--- |
|
|
# Agricultural Production In Africa Dataset |
|
|
|
|
|
## Dataset Overview |
|
|
|
|
|
- **Dataset Name**: Cleaned Agricultural Production Data |
|
|
- **Source**: Food and Agriculture organization (FAO) |
|
|
- **Dataset Type**: Time-series agricultural statistics |
|
|
- **Number of Rows**: ~790,714 |
|
|
- **Format**: CSV |
|
|
- **Size**: [File size] |
|
|
|
|
|
## Dataset Description |
|
|
|
|
|
This dataset contains comprehensive agricultural production statistics, including crop and livestock data across different regions and years. The data has been cleaned and processed for analysis. |
|
|
|
|
|
## Data Dictionary |
|
|
|
|
|
| Column Name | Data Type | Description | |
|
|
|-------------|-----------|-------------| |
|
|
| Area | String | Name of the country or region | |
|
|
| Item | String | Agricultural product or livestock | |
|
|
| Year | Integer | Year of record | |
|
|
| Unit | String | Unit of measurement | |
|
|
| Area harvested | Float | Area harvested (hectares) | |
|
|
| Laying | Float | Number of laying animals | |
|
|
| Milk Animals | Float | Number of milk-producing animals | |
|
|
| Producing Animals/Slaughtered | Float | Number of animals produced/slaughtered | |
|
|
| Production | Float | Quantity produced | |
|
|
| Stocks | Float | Quantity in stock | |
|
|
| Yield | Float | Yield per unit area | |
|
|
| Yield/Carcass Weight | Float | Yield or carcass weight | |
|
|
|
|
|
## Data Collection |
|
|
|
|
|
### Source |
|
|
|
|
|
- **Original Source**: [Original data source] |
|
|
- **Processing**: Data has been cleaned and standardized |
|
|
|
|
|
### Time Period |
|
|
|
|
|
- **Start Year**: 1961 (based on sample data) |
|
|
- **End Year**: [Most recent year in dataset] |
|
|
|
|
|
### Geographic Coverage |
|
|
|
|
|
- **Regions**: Global coverage (countries and regions) |
|
|
- **Geographic Granularity**: Country/Region level |
|
|
|
|
|
## Data Quality |
|
|
|
|
|
### Completeness |
|
|
|
|
|
- Missing values are present in the dataset and have been handled using the following approach: |
|
|
- For each time series (grouped by Area, Item, and Element), missing values are: |
|
|
1. Forward filled (using the last valid observation) |
|
|
2. Then backward filled (using the next valid observation) |
|
|
- This approach helps maintain the continuity of time series data while preserving trends |
|
|
- Some metrics are only applicable to specific item types (e.g., milk animals for dairy products) |
|
|
- Certain years or regions may have more missing data than others |
|
|
|
|
|
### Consistency |
|
|
|
|
|
- Standardized units across all measurements |
|
|
- Consistent naming conventions for countries and crop categories |
|
|
- Yearly data points from 1961 to the most recent year available |
|
|
- Data has been filtered to include only African countries with standardized names |
|
|
|
|
|
## Intended Use |
|
|
|
|
|
This dataset is suitable for: |
|
|
|
|
|
- Agricultural production trend analysis |
|
|
- Regional comparison of agricultural output |
|
|
- Time-series analysis of agricultural metrics |
|
|
- Research in food security and agricultural economics |
|
|
|
|
|
## Limitations |
|
|
|
|
|
1. Some entries may have missing values |
|
|
2. Data granularity varies by country and year |
|
|
3. Some metrics are only applicable to specific agricultural products |
|
|
|
|
|
## Ethical Considerations |
|
|
|
|
|
- Data represents aggregate statistics and does not contain personally identifiable information |
|
|
- Users should be aware of potential biases in data collection and reporting across different regions |
|
|
|
|
|
## Usage Examples |
|
|
|
|
|
1. Analyzing agricultural production trends over time |
|
|
2. Comparing crop yields across different regions |
|
|
3. Studying the relationship between agricultural practices and output |
|
|
|
