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dataset_info:
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-
features:
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- name: indicator
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dtype: string
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- name: '1970'
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dtype: float64
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- name: '1971'
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dtype: float64
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- name: '1972'
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dtype: float64
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- name: '1973'
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dtype: float64
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- name: '1974'
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dtype: float64
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- name: '1975'
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dtype: float64
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- name: '1976'
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dtype: float64
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- name: '1977'
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dtype: float64
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- name: '1978'
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dtype: float64
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- name: '1979'
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dtype: float64
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- name: '1980'
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dtype: float64
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- name: '1981'
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dtype: float64
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- name: '1982'
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dtype: string
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- name: '1983'
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dtype: string
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- name: '1984'
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dtype: string
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- name: '1985'
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dtype: string
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- name: '1986'
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dtype: string
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- name: '1987'
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dtype: string
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dtype: string
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- name: '1989'
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dtype: string
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- name: '1990'
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dtype: float64
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- name: '1991'
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dtype: string
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- name: '1992'
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dtype: string
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- name: '1993'
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dtype: string
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dtype: string
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dtype: float64
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dtype: string
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dtype: string
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- name: '2000'
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dtype: float64
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- name: '2001'
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dtype: string
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- name: '2002'
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dtype: string
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- name: '2003'
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dtype: string
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dtype: string
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dtype: string
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- name: '2017'
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dtype: string
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- name: esa_source
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dtype: string
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- name: esa_processed
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dtype: string
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splits:
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-
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num_bytes: 3632
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num_examples: 9
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download_size: 45640
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dataset_size: 17242
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: test
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path: data/test-*
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---
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| 1 |
---
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+
annotations_creators:
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- no-annotation
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language_creators:
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- found
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language:
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- en
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license: cc-by-4.0
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multilinguality:
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- monolingual
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size_categories:
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- n<1K
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+
source_datasets:
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- original
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task_categories:
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- tabular-regression
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task_ids: []
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tags:
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- africa
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- humanitarian
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- hdx
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- electric-sheep-africa
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- baseline-population
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- migration
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- caf
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pretty_name: "CENTRAL AFRICAN REPUBLIC - Population and migration indicators, UNECA"
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dataset_info:
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splits:
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+
- name: train
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num_examples: 33
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- name: test
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num_examples: 8
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---
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+
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# CENTRAL AFRICAN REPUBLIC - Population and migration indicators, UNECA
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**Publisher:** United Nations Economic Commission for Africa · **Source:** [HDX](https://data.humdata.org/dataset/central-african-republic-uneca-population-and-migration) · **License:** `cc-by-igo` · **Updated:** 2024-09-13
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---
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## Abstract
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This dataset contains many indicators related to population and migration such as Average annual population growth rate, Population 15-19 , Annual rate of change of the migrant stock, International migrant stock at mid-year, etc. The whole list and their description can be find in this link https://bit.ly/2ODhFQh
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Each row in this dataset represents tabular records. Data was last updated on HDX on 2024-09-13. Geographic scope: **CAF**.
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*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*
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---
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## Dataset Characteristics
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| | |
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|---|---|
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| **Domain** | Demographics and population |
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| **Unit of observation** | Tabular records |
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| **Rows (total)** | 42 |
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| **Columns** | 51 (15 numeric, 36 categorical, 0 datetime) |
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| **Train split** | 33 rows |
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| **Test split** | 8 rows |
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| **Geographic scope** | CAF |
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| **Publisher** | United Nations Economic Commission for Africa |
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| **HDX last updated** | 2024-09-13 |
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---
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## Variables
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**Identifier / Metadata** — `esa_source`, `esa_processed`.
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**Other** — `indicator` (Average annual population growth rate - Total (%), Net reproduction rate (per woman), Life expectancy at birth - Total (years)), `1970` (range 1.8–930.1), `1971` (range 1.9–948.5), `1972` (range 1.9–966.8), `1973` (range 1.9–985.6) and 44 others.
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---
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## Quick Start
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```python
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from datasets import load_dataset
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ds = load_dataset("electricsheepafrica/africa-central-african-republic-uneca-population-and-migration")
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train = ds["train"].to_pandas()
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test = ds["test"].to_pandas()
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print(train.shape)
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train.head()
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```
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---
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## Schema
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| Column | Type | Null % | Range / Sample Values |
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|---|---|---|---|
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| 94 |
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| `indicator` | object | 0.0% | Average annual population growth rate - Total (%), Net reproduction rate (per woman), Life expectancy at birth - Total (years) |
|
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| `1970` | float64 | 50.0% | 1.8 – 930.1 (mean 226.7286) |
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| 96 |
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| `1971` | float64 | 50.0% | 1.9 – 948.5 (mean 231.3762) |
|
| 97 |
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| `1972` | float64 | 50.0% | 1.9 – 966.8 (mean 235.9476) |
|
| 98 |
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| `1973` | float64 | 50.0% | 1.9 – 985.6 (mean 240.5333) |
|
| 99 |
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| `1974` | float64 | 52.4% | 2.0 – 970.7 (mean 207.32) |
|
| 100 |
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| `1975` | float64 | 52.4% | 2.0 – 991.0 (mean 211.51) |
|
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| `1976` | float64 | 54.8% | 2.1 – 863.9 (mean 174.2368) |
|
| 102 |
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| `1977` | float64 | 54.8% | 2.1 – 886.5 (mean 178.1105) |
|
| 103 |
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| `1978` | float64 | 54.8% | 2.2 – 909.6 (mean 182.2) |
|
| 104 |
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| `1979` | float64 | 54.8% | 2.2 – 934.1 (mean 186.5789) |
|
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| `1980` | float64 | 54.8% | 2.3 – 960.7 (mean 191.3158) |
|
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| `1981` | float64 | 54.8% | 2.3 – 990.7 (mean 196.5684) |
|
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| `1982` | object | 47.6% | 3.0, 3.8, 99.0 |
|
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| `1983` | object | 47.6% | 3.0, 3.8, 101.4 |
|
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| `1984` | object | 47.6% | 2.8, 3.8, 103.6 |
|
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| `1985` | object | 47.6% | 2.5, 2.8, 105.7 |
|
| 111 |
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| `1986` | object | 47.6% | 2.3, 2.8, 108.5 |
|
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| `1987` | object | 47.6% | 49.7, 2.8, 2.2 |
|
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| `1988` | object | 47.6% | 2.8, 2.1, 606.7 |
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| `1989` | object | 47.6% | 2.2, 2.8, 115.5 |
|
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| `1990` | float64 | 14.3% | 1.3 – 793.1 (mean 100.3389) |
|
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| `1991` | object | 47.6% | 2.5, 2.6, 120.9 |
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| `1992` | object | 47.6% | |
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| `1993` | object | 47.6% | |
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| `1994` | object | 47.6% | |
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| `1995` | float64 | 14.3% | 2.0 – 911.0 (mean 114.4417) |
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| `1996` | object | 47.6% | |
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| `1997` | object | 47.6% | |
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| `1998` | object | 47.6% | |
|
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| `1999` | object | 47.6% | |
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| `2000` | float64 | 16.7% | 1.9 – 984.5 (mean 101.9486) |
|
| 126 |
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| `2001` | object | 45.2% | |
|
| 127 |
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| `2002` | object | 45.2% | |
|
| 128 |
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| `2003` | object | 45.2% | |
|
| 129 |
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| `2004` | object | 45.2% | |
|
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| `2005` | object | 0.0% | |
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| `2006` | object | 45.2% | |
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| `2007` | object | 45.2% | |
|
| 133 |
+
| `2008` | object | 45.2% | |
|
| 134 |
+
| `2009` | object | 45.2% | |
|
| 135 |
+
| `2010` | object | 0.0% | |
|
| 136 |
+
| `2011` | object | 45.2% | |
|
| 137 |
+
| `2012` | object | 45.2% | |
|
| 138 |
+
| `2013` | object | 47.6% | |
|
| 139 |
+
| `2014` | object | 47.6% | |
|
| 140 |
+
| `2015` | object | 4.8% | |
|
| 141 |
+
| `2016` | object | 50.0% | |
|
| 142 |
+
| `2017` | object | 31.0% | |
|
| 143 |
+
| `esa_source` | object | 0.0% | |
|
| 144 |
+
| `esa_processed` | object | 0.0% | |
|
| 145 |
+
|
| 146 |
+
---
|
| 147 |
+
|
| 148 |
+
## Numeric Summary
|
| 149 |
+
|
| 150 |
+
| Column | Min | Max | Mean | Median |
|
| 151 |
+
|---|---|---|---|---|
|
| 152 |
+
| `1970` | 1.8 | 930.1 | 226.7286 | 43.1 |
|
| 153 |
+
| `1971` | 1.9 | 948.5 | 231.3762 | 43.0 |
|
| 154 |
+
| `1972` | 1.9 | 966.8 | 235.9476 | 43.6 |
|
| 155 |
+
| `1973` | 1.9 | 985.6 | 240.5333 | 44.6 |
|
| 156 |
+
| `1974` | 2.0 | 970.7 | 207.32 | 45.25 |
|
| 157 |
+
| `1975` | 2.0 | 991.0 | 211.51 | 46.1 |
|
| 158 |
+
| `1976` | 2.1 | 863.9 | 174.2368 | 46.6 |
|
| 159 |
+
| `1977` | 2.1 | 886.5 | 178.1105 | 47.3 |
|
| 160 |
+
| `1978` | 2.2 | 909.6 | 182.2 | 47.9 |
|
| 161 |
+
| `1979` | 2.2 | 934.1 | 186.5789 | 48.4 |
|
| 162 |
+
| `1980` | 2.3 | 960.7 | 191.3158 | 48.9 |
|
| 163 |
+
| `1981` | 2.3 | 990.7 | 196.5684 | 49.3 |
|
| 164 |
+
| `1990` | 1.3 | 793.1 | 100.3389 | 7.8 |
|
| 165 |
+
| `1995` | 2.0 | 911.0 | 114.4417 | 12.05 |
|
| 166 |
+
| `2000` | 1.9 | 984.5 | 101.9486 | 12.5 |
|
| 167 |
+
|
| 168 |
+
---
|
| 169 |
+
|
| 170 |
+
## Curation
|
| 171 |
+
|
| 172 |
+
Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. 15 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.
|
| 173 |
+
|
| 174 |
+
---
|
| 175 |
+
|
| 176 |
+
## Limitations
|
| 177 |
+
|
| 178 |
+
- Data originates from United Nations Economic Commission for Africa and has not been independently validated by ESA.
|
| 179 |
+
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
|
| 180 |
+
- The following columns have >20% missing values and should be treated with caution in modelling: `1970`, `1971`, `1972`, `1973`, `1974`, `1975`, `1976`, `1977`....
|
| 181 |
+
- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/central-african-republic-uneca-population-and-migration) for the publisher's own methodology notes and caveats.
|
| 182 |
+
|
| 183 |
+
---
|
| 184 |
+
|
| 185 |
+
## Citation
|
| 186 |
+
|
| 187 |
+
```bibtex
|
| 188 |
+
@dataset{hdx_africa_central_african_republic_uneca_population_and_migration,
|
| 189 |
+
title = {CENTRAL AFRICAN REPUBLIC - Population and migration indicators, UNECA},
|
| 190 |
+
author = {United Nations Economic Commission for Africa},
|
| 191 |
+
year = {2024},
|
| 192 |
+
url = {https://data.humdata.org/dataset/central-african-republic-uneca-population-and-migration},
|
| 193 |
+
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
|
| 194 |
+
}
|
| 195 |
+
```
|
| 196 |
+
|
| 197 |
+
---
|
| 198 |
+
|
| 199 |
+
*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*
|