--- license: cc-by-4.0 language: - en task_categories: - tabular-classification - tabular-regression multilinguality: monolingual size_categories: - n<1K tags: - tabular - csv - africa - djibouti - official-statistics - open-data configs: - config_name: default data_files: - split: train path: data/train-00000-of-00001.parquet pretty_name: "Small Business Surveys - Aggregated Data | Africa (Djibouti official open data)" --- # Small Business Surveys - Aggregated Data | Africa (Djibouti official open data) 100 rows - 1 Africa country - 2021 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica) ![rows](https://img.shields.io/badge/rows-100-blue) ![countries](https://img.shields.io/badge/countries-1-green) ![years](https://img.shields.io/badge/years-2021-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 packages one official `CSV` resource from **Djibouti** as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo. ## About the source - **Source:** [Small Business Surveys - Aggregated Data](https://data.humdata.org/dataset/future-of-business-survey-aggregated-data) - **Publisher:** AI for Good at Meta - **Resource:** [gsosb_2021_february_codebook.csv](https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b03a9003-ad35-4ff4-85e1-f74626ed3c59/download/gsosb_2021_february_codebook.csv) - **Format:** `CSV` - **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) - **Packaging mode:** `tabular_resource` ## Geographic coverage 1 Africa country: | Country | Rows | First year | Last year | Name | |---------|-----:|-----------:|----------:|------| | `DJI` | 100 | 2021 | 2021 | `Djibouti` | ## Indicators or Resource Contents - This source file is packaged as a normalized tabular resource. ## Schema | Column | Type | Description | Example | |--------|------|-------------|---------| | `source_record_id` | `string` | Stable row identifier for tabular resources. | `b03a9003-ad35-4ff4-85e1-f74626ed3c59:0` | | `country_iso3` | `category` | ISO3 country code. | `DJI` | | `country_name` | `category` | Country name. | `Djibouti` | | `year` | `Int64` | Observation year. | `2021` | | `variable` | `string` | Source column. | `bus_chn_advertising_strategy` | | `question` | `string` | Source column. | `What has this business changed as a result of the COVID-19 pandemic? (Se` | | `response_options` | `string` | Source column. | `{"options":{"7":"Processes for interacting with customers","6":"Product ` | | `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2021` | | `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2021` | | `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2021` | | `source_provider` | `category` | Publishing organization. | `AI for Good at Meta` | | `source_dataset` | `category` | Source package title. | `Small Business Surveys - Aggregated Data` | | `source_resource` | `category` | Source resource title. | `gsosb_2021_february_codebook.csv` | | `source_package_id` | `category` | CKAN package UUID. | `8bd3d109-d33d-4349-90c4-464c9d7ccb66` | | `source_resource_id` | `category` | CKAN resource UUID. | `b03a9003-ad35-4ff4-85e1-f74626ed3c59` | | `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/re` | | `license_id` | `category` | Source license identifier. | `cc-by` | | `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-16T10:32:57Z` | ## Usage ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-djibouti-small-business-surveys-aggregated-data-fe063959") df = ds["train"].to_pandas() print(df.head()) ``` ### Filter to one country ```python sample_country = df[df["country_iso3"] == "DJI"] ``` ### Work with indicators ```python if "indicator_id" in df.columns: print(df["indicator_id"].value_counts().head()) sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns]) ``` ## Citation ```bibtex @misc{electric_sheep_africa_africa_djibouti_small_business_surveys_aggregated_data_fe063959_2021, title = {Small Business Surveys - Aggregated Data | Africa (Djibouti official open data)}, author = {AI for Good at Meta}, year = {2021}, url = {https://data.humdata.org/dataset/future-of-business-survey-aggregated-data}, publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa}, howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-djibouti-small-business-surveys-aggregated-data-fe063959}} } ``` ## License Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Original data (c) AI for Good at Meta. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging. ## About Electric Sheep Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use `load_dataset()` to start working in seconds. Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica) --- Provenance: ingested 2026-08-16 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/b03a9003-ad35-4ff4-85e1-f74626ed3c59/download/gsosb_2021_february_codebook.csv