electricsheepafrica/africa-faostat-food-prices-for-mauritius

--- annotations_creators: - no-annotation language_creators: - found language: - en license: cc-by-4.0 multilinguality: - monolingual size_categories: - n<1K source_datasets: - original task_categories: - tabular-regression task_ids: [] tags: - africa - humanitarian - hdx - electric-sheep-africa - food-security - indicators - mus pretty_name: "Mauritius - Food Prices" dataset_info: splits: - name: train num_examples: 350 - name: test num_examples: 87 --- # Mauritius - Food Prices **Publisher:** Food and Agriculture Organization (FAO) of the United Nations · **Source:** [HDX](https://data.humdata.org/dataset/faostat-food-prices-for-mauritius) · **License:** `cc-by-igo` · **Updated:** 2026-03-30 --- ## Abstract Food Prices for Mauritius. Contains data from the FAOSTAT [bulk data service](https://fenixservices.fao.org/faostat/static/bulkdownloads/datasets_E.json) covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices Each row in this dataset represents country-level aggregates. Temporal coverage is indicated by the `startdate`, `enddate` column(s). Geographic scope: **MUS**. *Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).* --- ## Dataset Characteristics | | | |---|---| | **Domain** | Food security and nutrition | | **Unit of observation** | Country-level aggregates | | **Rows (total)** | 438 | | **Columns** | 17 (6 numeric, 9 categorical, 2 datetime) | | **Train split** | 350 rows | | **Test split** | 87 rows | | **Geographic scope** | MUS | | **Publisher** | Food and Agriculture Organization (FAO) of the United Nations | | **HDX last updated** | 2026-03-30 | --- ## Variables **Geographic** — `iso3` (MUS), `year_code` (range 1970.0–2024.0), `year` (range 1970.0–2024.0). **Temporal** — `startdate`, `enddate`. **Outcome / Measurement** — `value` (range 2.5615–157.1815). **Identifier / Metadata** — `area_code` (range 137.0–137.0), `area_code_m49` ('480), `item_code` (range 22024.0–22028.0), `element_code` (range 6179.0–62250.0), `esa_source` (HDX) and 1 others. **Other** — `area` (Mauritius), `item` (GDP Deflator, Gross Fixed Capital Formation Deflator, Value Added Deflator (Agriculture, forestry and fishery)), `element` (Value Standard Local Currency, 2015 prices, Value US$, 2015 prices), `unit` (SLC, USD), `flag` (X, E). --- ## Quick Start ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-faostat-food-prices-for-mauritius") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() ``` --- ## Schema | Column | Type | Null % | Range / Sample Values | |---|---|---|---| | `iso3` | object | 0.0% | MUS | | `startdate` | datetime64[ns] | 0.0% | | | `enddate` | datetime64[ns] | 0.0% | | | `area_code` | int64 | 0.0% | 137.0 – 137.0 (mean 137.0) | | `area_code_m49` | object | 0.0% | '480 | | `area` | object | 0.0% | Mauritius | | `item_code` | int64 | 0.0% | 22024.0 – 22028.0 (mean 22025.7397) | | `item` | object | 0.0% | GDP Deflator, Gross Fixed Capital Formation Deflator, Value Added Deflator (Agriculture, forestry and fishery) | | `element_code` | int64 | 0.0% | 6179.0 – 62250.0 (mean 34214.5) | | `element` | object | 0.0% | Value Standard Local Currency, 2015 prices, Value US$, 2015 prices | | `year_code` | int64 | 0.0% | 1970.0 – 2024.0 (mean 1996.8767) | | `year` | int64 | 0.0% | 1970.0 – 2024.0 (mean 1996.8767) | | `unit` | object | 0.0% | SLC, USD | | `value` | float64 | 0.0% | 2.5615 – 157.1815 (mean 68.2138) | | `flag` | object | 0.0% | X, E | | `esa_source` | object | 0.0% | HDX | | `esa_processed` | object | 0.0% | 2026-04-06 | --- ## Numeric Summary | Column | Min | Max | Mean | Median | |---|---|---|---|---| | `area_code` | 137.0 | 137.0 | 137.0 | 137.0 | | `item_code` | 22024.0 | 22028.0 | 22025.7397 | 22025.0 | | `element_code` | 6179.0 | 62250.0 | 34214.5 | 34214.5 | | `year_code` | 1970.0 | 2024.0 | 1996.8767 | 1997.0 | | `year` | 1970.0 | 2024.0 | 1996.8767 | 1997.0 | | `value` | 2.5615 | 157.1815 | 68.2138 | 72.6572 | --- ## Curation 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`. 2 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. --- ## Limitations - Data originates from Food and Agriculture Organization (FAO) of the United Nations and has not been independently validated by ESA. - Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection. - Refer to the [original HDX dataset page](https://data.humdata.org/dataset/faostat-food-prices-for-mauritius) for the publisher's own methodology notes and caveats. --- ## Citation ```bibtex @dataset{hdx_africa_faostat_food_prices_for_mauritius, title = {Mauritius - Food Prices}, author = {Food and Agriculture Organization (FAO) of the United Nations}, year = {2026}, url = {https://data.humdata.org/dataset/faostat-food-prices-for-mauritius}, note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)} } ``` --- *[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*annotations_creators: - 无人工注释 language_creators: - 公开资源采集 language: - 英语 license: cc-by-4.0 multilinguality: - 单语言 size_categories: - 数据量小于1000 source_datasets: - 原生数据集 task_categories: - 表格回归 task_ids: [] tags: - 非洲 - 人道主义 - HDX（Humanitarian Data Exchange，人道主义数据交换平台） - electric-sheep-africa - 粮食安全 - 指标 - MUS pretty_name: "毛里求斯——食品价格" dataset_info: splits: - name: train num_examples: 350 - name: test num_examples: 87 # 毛里求斯——食品价格 **发布方：** 联合国粮食及农业组织（Food and Agriculture Organization of the United Nations, FAO） · **来源：** [HDX（Humanitarian Data Exchange，人道主义数据交换平台）](https://data.humdata.org/dataset/faostat-food-prices-for-mauritius) · **授权协议：** `cc-by-igo` · **更新时间：** 2026-03-30 ## 摘要 本数据集收录毛里求斯食品价格相关数据。 数据源自FAOSTAT [批量数据服务](https://fenixservices.fao.org/faostat/static/bulkdownloads/datasets_E.json)，涵盖消费者价格指数、平减指数、汇率、生产者价格四大类别。 数据集中每一行代表国家级聚合统计结果，时间覆盖范围由`startdate`（开始日期）与`enddate`（结束日期）列标注。地理覆盖范围：**MUS（毛里求斯ISO 3166-1 α-3代码）**。 *本数据集已由[Electric Sheep Africa](https://huggingface.co/electricsheepafrica)整理为适用于机器学习的Parquet格式。* ## 数据集特征 | | | |---|---| | **领域** | 粮食安全与营养 | | **观测单元** | 国家级聚合统计结果 | | **总行数** | 438 | | **列数** | 17列（6个数值型、9个分类型、2个日期时间型） | | **训练集样本量** | 350行 | | **测试集样本量** | 87行 | | **地理覆盖范围** | MUS | | **发布方** | 联合国粮食及农业组织（FAO） | | **HDX最后更新时间** | 2026-03-30 | ## 变量说明 **地理变量**：`iso3`（代码为MUS）、`year_code`（取值范围1970.0–2024.0）、`year`（取值范围1970.0–2024.0）。 **时间变量**：`startdate`（开始日期）、`enddate`（结束日期）。 **结果/测量变量**：`value`（取值范围2.5615–157.1815）。 **标识符/元数据变量**：`area_code`（取值范围137.0–137.0）、`area_code_m49`（值为'480）、`item_code`（取值范围22024.0–22028.0）、`element_code`（取值范围6179.0–62250.0）、`esa_source`（来源为HDX）及1个其他字段。 **其他变量**：`area`（毛里求斯）、`item`（GDP平减指数、固定资本形成总额平减指数、农业/林业/渔业增加值平减指数）、`element`（标准本币计价价值、2015年不变价、美元计价价值、2015年不变价）、`unit`（计量单位：SLC、USD）、`flag`（标记：X、E）。 ## 快速上手 python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-faostat-food-prices-for-mauritius") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() ## 数据模式 | 列名 | 数据类型 | 空值占比 | 取值范围/示例值 | |---|---|---|---| | `iso3` | 字符串型（object） | 0.0% | MUS | | `startdate` | 日期时间型（datetime64[ns]） | 0.0% | 无 | | `enddate` | 日期时间型（datetime64[ns]） | 0.0% | 无 | | `area_code` | 64位整型（int64） | 0.0% | 137.0 – 137.0（均值137.0） | | `area_code_m49` | 字符串型（object） | 0.0% | '480 | | `area` | 字符串型（object） | 0.0% | 毛里求斯 | | `item_code` | 64位整型（int64） | 0.0% | 22024.0 – 22028.0（均值22025.7397） | | `item` | 字符串型（object） | 0.0% | GDP平减指数、固定资本形成总额平减指数、农业/林业/渔业增加值平减指数 | | `element_code` | 64位整型（int64） | 0.0% | 6179.0 – 62250.0（均值34214.5） | | `element` | 字符串型（object） | 0.0% | 标准本币计价价值、2015年不变价、美元计价价值、2015年不变价 | | `year_code` | 64位整型（int64） | 0.0% | 1970.0 – 2024.0（均值1996.8767） | | `year` | 64位整型（int64） | 0.0% | 1970.0 – 2024.0（均值1996.8767） | | `unit` | 字符串型（object） | 0.0% | SLC、USD | | `value` | 64位浮点型（float64） | 0.0% | 2.5615 – 157.1815（均值68.2138） | | `flag` | 字符串型（object） | 0.0% | X、E | | `esa_source` | 字符串型（object） | 0.0% | HDX | | `esa_processed` | 字符串型（object） | 0.0% | 2026-04-06 | ## 数值型字段统计 | 列名 | 最小值 | 最大值 | 均值 | 中位数 | |---|---|---|---|---| | `area_code` | 137.0 | 137.0 | 137.0 | 137.0 | | `item_code` | 22024.0 | 22028.0 | 22025.7397 | 22025.0 | | `element_code` | 6179.0 | 62250.0 | 34214.5 | 34214.5 | | `year_code` | 1970.0 | 2024.0 | 1996.8767 | 1997.0 | | `year` | 1970.0 | 2024.0 | 1996.8767 | 1997.0 | | `value` | 2.5615 | 157.1815 | 68.2138 | 72.6572 | ## 数据整理流程 原始数据通过CKAN API从HDX平台下载，并转换为Parquet格式。列名统一转换为小写并标准化为蛇形命名法。常见缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）被统一替换为`NaN`。基于解析成功率（阈值>85%），将2列从字符串类型转换为数值型或日期时间型。本数据集以固定随机种子（42）按照80/20的比例划分为训练集与测试集，并保存为Snappy压缩的Parquet格式文件。 ## 数据集局限性 1. 数据源自联合国粮食及农业组织（FAO），未经过Electric Sheep Africa的独立验证。 2. 自动化清洗流程无法修正原始数据收集阶段的错报值、定义不一致或采样偏差问题。 3. 请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/faostat-food-prices-for-mauritius)查看发布方提供的方法说明与注意事项。 ## 引用格式 bibtex @dataset{hdx_africa_faostat_food_prices_for_mauritius, title = {Mauritius - Food Prices}, author = {Food and Agriculture Organization (FAO) of the United Nations}, year = {2026}, url = {https://data.humdata.org/dataset/faostat-food-prices-for-mauritius}, note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)} } *[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — 非洲机器学习数据集基础设施。尼日利亚拉各斯。*