--- license: cc-by-4.0 language: - en task_categories: - tabular-classification - tabular-regression multilinguality: multilingual size_categories: - n<1K tags: - "tabular" - "africa" - "open-data" - "official-statistics" - "chad" - "ocha-chad" - "tcd" - "hxl" - "operational-presence" - "who-is-doing-what-and-where-3w-4w-5w" configs: - config_name: default data_files: - split: train path: data/train-00000-of-00001.parquet pretty_name: "Chad Operational Presence | Africa (OCHA Chad)" --- # Chad Operational Presence | Africa (OCHA Chad) **743 rows** - **1 Africa country/area** - **2020** - **source table** - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)* ![rows](https://img.shields.io/badge/rows-743-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![period](https://img.shields.io/badge/period-2020-orange) ![indicators](https://img.shields.io/badge/indicators-0-purple) ![license](https://img.shields.io/badge/license-cc--by--4.0-lightgrey) ## TL;DR This dataset contains **743 rows** from **OCHA Chad**, covering **Chad Operational Presence**. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples. ## What This Dataset Measures Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals. Source-provided context: 3W as of June 2020 ## How To Read This Dataset - **One row means:** one source record from the original tabular resource, with Electric Sheep Africa provenance columns added where available. - **Primary geography column:** `country_iso3`. - **Best time column:** `year`. - **Time coverage basis:** year. - **Recommended join keys:** `country_iso3` where available plus source-specific keys. ## Coverage | Dimension | Value | |---|---:| | Rows | 743 | | Countries/areas | 1 | | First period | 2020 | | Last period | 2020 | | Indicators | 0 | | Columns | 24 | | Source format | XLSX | ## Geographic Coverage Top areas shown below, sorted by row count when available: | Area | Rows | First year | Last year | Name | |------|-----:|-----------:|----------:|------| | `TCD` | 743 | 2020 | 2020 | `Chad` | ## Indicators, Variables, Or Resource Contents - This repo preserves one source tabular resource with its usable columns kept together. ## Schema | Column | Type | Description | Example | |--------|------|-------------|---------| | `source_record_id` | `string` | Stable row identifier assigned during Electric Sheep Africa engineering. | `e71ee616-e80f-49da-9e62-e2fb3f602fc9:supp-nat:0` | | `country_iso3` | `dictionary` | ISO3 country or area code. | `TCD` | | `country_name` | `dictionary` | Country or area name. | `Chad` | | `source_sheet` | `string` | Source column from the original resource. | `Supp_Nat` | | `year` | `int64` | Observation year. | `2020` | | `pcode1` | `string` | Source column from the original resource. | `#adm1+code` | | `region` | `string` | Source column from the original resource. | `#adm1+name` | | `cluster` | `string` | Source column from the original resource. | `#sector` | | `acronyme` | `string` | Source column from the original resource. | `#org+acronym` | | `nom_de_l_organisation` | `string` | Source column from the original resource. | `#org+name` | | `type_d_organisation` | `string` | Source column from the original resource. | `#org+type` | | `icones` | `string` | Source column from the original resource. | `` | | `source_period_start_year` | `int64` | Start year inferred from source metadata. | `2020` | | `source_period_end_year` | `int64` | End year inferred from source metadata. | `2020` | | `source_period_label` | `dictionary` | Source column from the original resource. | `2020` | | `source_provider` | `dictionary` | Publishing organization. | `OCHA Chad` | | `source_dataset` | `dictionary` | Source dataset or package title. | `Chad: Operational Presence` | | `source_resource` | `dictionary` | Source resource title, table name, or file name. | `3W_TCD_Jun2020` | | `source_package_id` | `dictionary` | Source package identifier. | `682c3db6-e253-430f-a3f3-305ef079e2de` | | `source_resource_id` | `dictionary` | Source resource identifier. | `e71ee616-e80f-49da-9e62-e2fb3f602fc9` | | `source_url` | `dictionary` | Original source URL or download URL. | `https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de...` | | `license_id` | `dictionary` | Source license identifier. | `cc-by` | | `retrieved_at` | `dictionary` | UTC source retrieval timestamp from the Electric Sheep Africa pipeline. | `2026-08-10T22:51:43Z` | | `lac` | `string` | Source column from the original resource. | `` | ## Usage ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-chad-chad-operational-presence-2db67744") df = ds["train"].to_pandas() print(df.head()) ``` ### Inspect Columns ```python print(df.info()) print(df.head()) ``` ### Filter By Geography ```python if "country_iso3" in df.columns: sample = df[df["country_iso3"] == "TCD"] ``` ### Time-Series Pattern ```python if "value" in df.columns and "year" in df.columns: trend = df.sort_values("year") ``` ### Pivot For Analysis ```python if {"indicator_id", "year", "value"}.issubset(df.columns): matrix = df.pivot_table(index="year", columns="indicator_id", values="value") print(matrix.tail()) ``` ## Data Quality Notes - Canonical time field: `year`. - Missing values are preserved rather than silently imputed. - Column names are standardized for machine use; source meanings are preserved where known. - Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use. ## Source And Provenance - **Source:** [OCHA Chad](https://data.humdata.org/dataset/chad-operational-presence) - **Publisher:** OCHA Chad - **Portal:** [https://data.humdata.org](https://data.humdata.org) - **Resource:** [3W_TCD_Jun2020](https://data.humdata.org/dataset/682c3db6-e253-430f-a3f3-305ef079e2de/resource/e71ee616-e80f-49da-9e62-e2fb3f602fc9/download/3w_tcd_june2020.xlsx) - **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) - **Retrieved/generated:** `2026-08-11T00:04:48Z` - **Hugging Face repo:** [electricsheepafrica/africa-chad-chad-operational-presence-2db67744](https://huggingface.co/datasets/electricsheepafrica/africa-chad-chad-operational-presence-2db67744) ## Transformations Applied - Converted the source table to Parquet for efficient analytics and ML workflows. - Added or preserved source provenance columns where available. - Standardized README metadata, dataset loading configuration, schema documentation, and citation format. - Preserved source-reported values without analytical imputation. ## Suggested Analyses - Profile the distribution of values - Compare categories or geographies - Join with complementary public datasets - Build time-series views and period-over-period comparisons - Check missingness before modeling - Use `country_iso3` as the safest geography join key when present ## Citation ```bibtex @misc{electric_sheep_africa_africa_chad_chad_operational_presence_2db67744_2020, title = {Chad Operational Presence | Africa (OCHA Chad)}, author = {OCHA Chad}, year = {2020}, url = {https://data.humdata.org/dataset/chad-operational-presence}, publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa}, howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-chad-chad-operational-presence-2db67744}} } ``` ## License Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Original data is published by OCHA Chad. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used. ## About Electric Sheep Africa Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face. --- Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/chad-operational-presence