electricsheepafrica/africa-disability-egypt
收藏资源简介：
--- annotations_creators: - no-annotation language_creators: - found language: - en license: other multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - tabular-classification task_ids: [] tags: - africa - humanitarian - hdx - electric-sheep-africa - disability - disease - environment - health - hxl - indicators - malaria - maternity - egy pretty_name: "Egypt - Health Indicators" dataset_info: splits: - name: train num_examples: 15705 - name: test num_examples: 3926 --- # Egypt - Health Indicators **Publisher:** World Health Organization · **Source:** [HDX](https://data.humdata.org/dataset/who-data-for-egypt) · **License:** `hdx-other` · **Updated:** 2025-02-07 --- ## Abstract This dataset contains data from WHO's [data portal](https://www.who.int/gho/en/) covering the following categories: Air pollution, Antimicrobial resistance (AMR), Assistive technology, Child mortality, Dementia diagnosis, treatment and care, Dementia policy and legislation, Environment and health, Foodborne Diseases Estimates, Global Dementia Observatory (GDO), Global Health Estimates: Life expectancy and leading causes of death and disability, Global Information System on Alcohol and Health, HIV, Health Inequality Monitor, Health financing, Health systems, Health taxes, Health workforce, Hepatitis, Immunization coverage and vaccine-preventable diseases, International Health Regulations (2005) monitoring framework, Malaria, Maternal and reproductive health, Mental health, Neglected tropical diseases, Noncommunicable diseases, Nutrition, Oral Health, Priority health technologies, Resources for Substance Use Disorders, Road Safety, SDG Target 3.8 | Achieve universal health coverage (UHC), Sexually Transmitted Infections, Tobacco control, Tuberculosis, Vaccine-preventable communicable diseases, Violence against women, Violence prevention, Water, sanitation and hygiene (WASH), Women and health, World Health Statistics. For links to individual indicator metadata, see resource descriptions. Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2025-02-07. Geographic scope: **EGY**. *Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).* --- ## Dataset Characteristics | | | |---|---| | **Domain** | Food security and nutrition | | **Unit of observation** | First-level administrative unit observations | | **Rows (total)** | 19,632 | | **Columns** | 19 (6 numeric, 13 categorical, 0 datetime) | | **Train split** | 15,705 rows | | **Test split** | 3,926 rows | | **Geographic scope** | EGY | | **Publisher** | World Health Organization | | **HDX last updated** | 2025-02-07 | --- ## Variables **Geographic** — `gho_display` (Number of deaths, Deaths per 1 000 live births, Distribution of causes of death among children aged < 5 years (%)), `year_display` (range 1955.0–2030.0), `startyear` (range 1955.0–2030.0), `endyear` (range 1955.0–2030.0), `region_code` (EMR, #region+code) and 4 others. **Outcome / Measurement** — `value`. **Identifier / Metadata** — `gho_code` (MORT_100, MORT_200, MORT_300), `dimension_code` (SEX_BTSX, SEX_FMLE, SEX_MLE), `dimension_name` (Both sexes, Female, Male), `esa_source`, `esa_processed`. **Other** — `gho_url` (https://www.who.int/data/gho/data/indicators/indicator-details/GHO/number-of-deaths, https://www.who.int/data/gho/data/indicators/indicator-details/GHO/gho-ghe-life-tables-by-who-region-global-health-estimates, https://www.who.int/data/gho/data/indicators/indicator-details/GHO/deaths-per-1-000-live-births), `numeric` (range -0.012–32563245.0), `low` (range -0.1614–1462188.078), `high` (range 0.0–2346113.529). --- ## Quick Start ```python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-disability-egypt") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() ``` --- ## Schema | Column | Type | Null % | Range / Sample Values | |---|---|---|---| | `gho_code` | object | 0.0% | MORT_100, MORT_200, MORT_300 | | `gho_display` | object | 0.0% | Number of deaths, Deaths per 1 000 live births, Distribution of causes of death among children aged < 5 years (%) | | `gho_url` | object | 0.0% | https://www.who.int/data/gho/data/indicators/indicator-details/GHO/number-of-deaths, https://www.who.int/data/gho/data/indicators/indicator-details/GHO/gho-ghe-life-tables-by-who-region-global-health-estimates, https://www.who.int/data/gho/data/indicators/indicator-details/GHO/deaths-per-1-000-live-births | | `year_display` | float64 | 0.0% | 1955.0 – 2030.0 (mean 2007.0674) | | `startyear` | float64 | 0.0% | 1955.0 – 2030.0 (mean 2007.0605) | | `endyear` | float64 | 0.0% | 1955.0 – 2030.0 (mean 2007.0674) | | `region_code` | object | 0.0% | EMR, #region+code | | `region_display` | object | 0.0% | Eastern Mediterranean, #region+name | | `country_code` | object | 0.0% | EGY, #country+code | | `country_display` | object | 0.0% | Egypt, #country+name | | `dimension_type` | object | 17.2% | SEX, RESIDENCEAREATYPE, AGEGROUP | | `dimension_code` | object | 17.2% | SEX_BTSX, SEX_FMLE, SEX_MLE | | `dimension_name` | object | 17.3% | Both sexes, Female, Male | | `numeric` | float64 | 8.3% | -0.012 – 32563245.0 (mean 78317.3968) | | `value` | object | 0.2% | | | `low` | float64 | 43.8% | -0.1614 – 1462188.078 (mean 6976.0809) | | `high` | float64 | 43.8% | 0.0 – 2346113.529 (mean 10982.8218) | | `esa_source` | object | 0.0% | | | `esa_processed` | object | 0.0% | | --- ## Numeric Summary | Column | Min | Max | Mean | Median | |---|---|---|---|---| | `year_display` | 1955.0 | 2030.0 | 2007.0674 | 2009.0 | | `startyear` | 1955.0 | 2030.0 | 2007.0605 | 2009.0 | | `endyear` | 1955.0 | 2030.0 | 2007.0674 | 2009.0 | | `numeric` | -0.012 | 32563245.0 | 78317.3968 | 10.5 | | `low` | -0.1614 | 1462188.078 | 6976.0809 | 6.5236 | | `high` | 0.0 | 2346113.529 | 10982.8218 | 12.1647 | --- ## 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`. 373 exact duplicate rows were removed. 6 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 World Health Organization and has not been independently validated by ESA. - Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection. - The following columns have >20% missing values and should be treated with caution in modelling: `low`, `high`. - Refer to the [original HDX dataset page](https://data.humdata.org/dataset/who-data-for-egypt) for the publisher's own methodology notes and caveats. --- ## Citation ```bibtex @dataset{hdx_africa_disability_egypt, title = {Egypt - Health Indicators}, author = {World Health Organization}, year = {2025}, url = {https://data.humdata.org/dataset/who-data-for-egypt}, 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: - 无注释 language_creators: - 公开数据源抓取（found） language: - 英语（en） license: - 其他（other） multilinguality: - 单语（monolingual） size_categories: - 10000 < 样本量 < 100000 source_datasets: - 原创数据集 task_categories: - 表格分类（tabular-classification） task_ids: [] tags: - 非洲 - 人道主义 - HDX（Humanitarian Data Exchange） - Electric Sheep Africa - 残疾 - 疾病 - 环境 - 健康 - HXL - 指标 - 疟疾 - 孕产妇健康 - 埃及（EGY） pretty_name: "埃及——健康指标" dataset_info: splits: - name: 训练集（train） num_examples: 15705 - name: 测试集（test） num_examples: 3926 # 埃及——健康指标 **发布者：** 世界卫生组织（World Health Organization） · **来源：** [HDX（Humanitarian Data Exchange）](https://data.humdata.org/dataset/who-data-for-egypt) · **许可证：** `hdx-other` · **更新时间：** 2025-02-07 --- ## 摘要 本数据集包含源自世界卫生组织（World Health Organization，简称WHO）[数据门户](https://www.who.int/gho/en/)的覆盖以下类别的数据： 空气污染、抗菌素耐药性（Antimicrobial resistance, AMR）、辅助技术、儿童死亡率、痴呆症诊断、治疗与照护、痴呆症政策与法规、环境与健康、食源性疾病估算数据、全球痴呆症观测站（Global Dementia Observatory, GDO）、全球健康估算：预期寿命及主要死亡与残疾原因、全球酒精与健康信息系统、艾滋病病毒（HIV）、健康不平等监测、卫生筹资、卫生系统、健康税、卫生人力、肝炎、免疫接种覆盖率与疫苗可预防疾病、《国际卫生条例（2005）》监测框架、疟疾、孕产妇与生殖健康、心理健康、被忽视的热带病、非传染性疾病、营养、口腔健康、优先卫生技术、物质使用障碍相关资源、道路安全、可持续发展目标3.8：实现全民健康覆盖（Universal Health Coverage, UHC）、性传播感染、烟草控制、结核病、疫苗可预防传染病、针对妇女的暴力、暴力预防、水、环境卫生与个人卫生（Water, Sanitation and Hygiene, WASH）、妇女与健康、世界卫生统计。 如需获取各指标元数据的链接，请参阅资源描述。 本数据集的每一行均代表一级行政单位的观测值。数据最后一次在HDX更新于2025-02-07。地理覆盖范围：**埃及（EGY）**。 *本数据集已由[Electric Sheep Africa](https://huggingface.co/electricsheepafrica)整理为适合机器学习的Parquet格式。* --- ## 数据集特征 | | | |---|---| | **领域** | 粮食安全与营养 | | **观测单位** | 一级行政单位观测值 | | **总行数** | 19,632 | | **列数** | 19（6个数值型列、13个分类型列、0个日期时间型列） | | **训练集样本量** | 15,705 | | **测试集样本量** | 3,926 | | **地理覆盖范围** | 埃及（EGY） | | **发布者** | 世界卫生组织 | | **HDX最后更新时间** | 2025-02-07 | --- ## 变量 **地理类变量** — `gho_display`（死亡数、每1000活产儿死亡数、<5岁儿童死亡原因分布（%））、`year_display`（取值范围1955.0–2030.0）、`startyear`（取值范围1955.0–2030.0）、`endyear`（取值范围1955.0–2030.0）、`region_code`（EMR，#region+code）等共6个变量。 **结果/测量类变量** — `value`。 **标识符/元数据类变量** — `gho_code`（MORT_100、MORT_200、MORT_300）、`dimension_code`（SEX_BTSX、SEX_FMLE、SEX_MLE）、`dimension_name`（男女合计、女性、男性）、`esa_source`、`esa_processed`。 **其他变量** — `gho_url`（示例链接：https://www.who.int/data/gho/data/indicators/indicator-details/GHO/number-of-deaths、https://www.who.int/data/gho/data/indicators/indicator-details/GHO/gho-ghe-life-tables-by-who-region-global-health-estimates、https://www.who.int/data/gho/data/indicators/indicator-details/GHO/deaths-per-1-000-live-births）、`numeric`（取值范围-0.012–32563245.0）、`low`（取值范围-0.1614–1462188.078）、`high`（取值范围0.0–2346113.529）。 --- ## 快速入门 python from datasets import load_dataset ds = load_dataset("electricsheepafrica/africa-disability-egypt") train = ds["train"].to_pandas() test = ds["test"].to_pandas() print(train.shape) train.head() --- ## 数据结构 | 列名 | 数据类型 | 空值占比 | 取值范围/示例值 | |---|---|---|---| | `gho_code` | object | 0.0% | MORT_100、MORT_200、MORT_300 | | `gho_display` | object | 0.0% | 死亡数、每1000活产儿死亡数、<5岁儿童死亡原因分布（%） | | `gho_url` | object | 0.0% | https://www.who.int/data/gho/data/indicators/indicator-details/GHO/number-of-deaths、https://www.who.int/data/gho/data/indicators/indicator-details/GHO/gho-ghe-life-tables-by-who-region-global-health-estimates、https://www.who.int/data/gho/data/indicators/indicator-details/GHO/deaths-per-1-000-live-births | | `year_display` | float64 | 0.0% | 1955.0 – 2030.0（均值2007.0674） | | `startyear` | float64 | 0.0% | 1955.0 – 2030.0（均值2007.0605） | | `endyear` | float64 | 0.0% | 1955.0 – 2030.0（均值2007.0674） | | `region_code` | object | 0.0% | EMR、#region+code | | `region_display` | object | 0.0% | 东地中海区域、#region+name | | `country_code` | object | 0.0% | EGY、#country+code | | `country_display` | object | 0.0% | 埃及、#country+name | | `dimension_type` | object | 17.2% | SEX、RESIDENCEAREATYPE、AGEGROUP | | `dimension_code` | object | 17.2% | SEX_BTSX、SEX_FMLE、SEX_MLE | | `dimension_name` | object | 17.3% | 男女合计、女性、男性 | | `numeric` | float64 | 8.3% | -0.012 – 32563245.0（均值78317.3968） | | `value` | object | 0.2% | 无 | | `low` | float64 | 43.8% | -0.1614 – 1462188.078（均值6976.0809） | | `high` | float64 | 43.8% | 0.0 – 2346113.529（均值10982.8218） | | `esa_source` | object | 0.0% | 无 | | `esa_processed` | object | 0.0% | 无 | --- ## 数值型变量汇总 | 列名 | 最小值 | 最大值 | 均值 | 中位数 | |---|---|---|---|---| | `year_display` | 1955.0 | 2030.0 | 2007.0674 | 2009.0 | | `startyear` | 1955.0 | 2030.0 | 2007.0605 | 2009.0 | | `endyear` | 1955.0 | 2030.0 | 2007.0674 | 2009.0 | | `numeric` | -0.012 | 32563245.0 | 78317.3968 | 10.5 | | `low` | -0.1614 | 1462188.078 | 6976.0809 | 6.5236 | | `high` | 0.0 | 2346113.529 | 10982.8218 | 12.1647 | --- ## 数据整理流程 原始数据通过CKAN API从HDX下载并转换为Parquet格式。列名统一转为小写并标准化为蛇形命名法。将常见缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。删除了373条完全重复的行。基于解析成功率（阈值>85%）将6列从字符串类型转换为数值型或日期时间型。使用固定随机种子（42）按80/20的比例将数据集划分为训练集与测试集，并保存为Snappy压缩的Parquet格式。 --- ## 局限性 - 数据源自世界卫生组织，未经过Electric Sheep Africa的独立验证。 - 自动化清洗流程无法修正原始数据收集阶段的错报值、定义不一致或抽样偏差问题。 - `low`、`high`两列的缺失值占比超过20%，在建模过程中需谨慎使用。 - 请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/who-data-for-egypt)查看发布者提供的方法学说明与相关注意事项。 --- ## 引用 bibtex @dataset{hdx_africa_disability_egypt, title = {Egypt - Health Indicators}, author = {World Health Organization}, year = {2025}, url = {https://data.humdata.org/dataset/who-data-for-egypt}, 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。*
