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electricsheepafrica/africa-south-sudan-unicef-esaro-regional-db-31-march-2018-159909f3

Unicef Esaro Regional Db 31 March 2018 | Africa (UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)) 627 rows - 1 Africa country/area - 2017 - source table - Engineered by Electric Sheep Africa TL;DR This dataset contains 627 rows from UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive), covering Unicef Esaro Regional Db 31 March 2018. It is published as ML-ready Parquet with consistent Hugging Face metadata, source… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-unicef-esaro-regional-db-31-march-2018-159909f3.

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Unicef Esaro Regional Db 31 March 2018 | Africa (UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive))

627 rows - 1 Africa country/area - 2017 - source table - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 627 rows from UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive), covering Unicef Esaro Regional Db 31 March 2018. 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: UNICEF Eastern and Southern Africa database - Target, Response and Funding as of 30 September 2017

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

DimensionValue
Rows627
Countries/areas1
First period2017
Last period2017
Indicators0
Columns92
Source formatXLSX

Geographic Coverage

Top areas shown below, sorted by row count when available:

AreaRowsFirst yearLast yearName
SSD62720172017South Sudan

Indicators, Variables, Or Resource Contents

  • —This repo preserves one source tabular resource with its usable columns kept together.

Schema

ColumnTypeDescriptionExample
source_record_idstringStable row identifier assigned during Electric Sheep Africa engineering.3a4a4c14-e8ce-4ad6-bc52-432b1eadf4e3:guidance-dates-of-update:0
country_iso3dictionary<values=string, indices=int8, ordered=0>ISO3 country or area code.SSD
country_namedictionary<values=string, indices=int8, ordered=0>Country or area name.South Sudan
source_sheetstringSource column from the original resource.Guidance & Dates of update
yearint64Observation year.2017
countrystringSource column from the original resource.Ethiopia
date_of_updatestringSource column from the original resource.2017-10-05 00:00:00
source_period_start_yearint64Start year inferred from source metadata.2017
source_period_end_yearint64End year inferred from source metadata.2017
source_period_labeldictionary<values=string, indices=int8, ordered=0>Source column from the original resource.2017
source_providerdictionary<values=string, indices=int8, ordered=0>Publishing organization.UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)
source_datasetdictionary<values=string, indices=int8, ordered=0>Source dataset or package title.UNICEF ESARO Regional db 31 March 2018
source_resourcedictionary<values=string, indices=int8, ordered=0>Source resource title, table name, or file name.UNICEF ESARO Regional db 30 September 2017.xlsx
source_package_iddictionary<values=string, indices=int8, ordered=0>Source package identifier.e514b983-cf97-4af6-9fc9-ec2b62f1283b
source_resource_iddictionary<values=string, indices=int8, ordered=0>Source resource identifier.3a4a4c14-e8ce-4ad6-bc52-432b1eadf4e3
source_urldictionary<values=string, indices=int8, ordered=0>Original source URL or download URL.https://data.humdata.org/dataset/e514b983-cf97-4af6-9fc9-ec2b62f1283b...
license_iddictionary<values=string, indices=int8, ordered=0>Source license identifier.cc-by
retrieved_atdictionary<values=string, indices=int8, ordered=0>UTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-08-10T18:18:23Z
sourcestringSource column from the original resource.``
hrp_hrd_flash_appeal_riasco_action_plandoubleSource column from the original resource.``
hac_riasco_action_plandoubleSource column from the original resource.``
hac_unicef_sitrepdoubleSource column from the original resource.``
hac_unicef_sitrep_2doubleSource column from the original resource.``
fewsnet_flash_appeal_riasco_plan_2016_2017doubleSource column from the original resource.``
hrp_hrd_flash_appealdoubleSource column from the original resource.``
hrp_hrd_flash_appeal_2doubleSource column from the original resource.``
hrd_hacdoubleSource column from the original resource.``
unesco_uisstringSource column from the original resource.``
hac_unicefdoubleSource column from the original resource.``
hac_unicef_2doubleSource column from the original resource.``
sectorstringSource column from the original resource.``
indicatorstringSource column from the original resource.``
2017doubleSource column from the original resource.``
latest_resultsdoubleSource column from the original resource.``
gapdoubleSource column from the original resource.``
achieveddoubleSource column from the original resource.``
resultsdoubleSource column from the original resource.``
eritreastringSource column from the original resource.``
d_11050000stringSource column from the original resource.``
d_3189229stringSource column from the original resource.``
d_7860771stringSource column from the original resource.``
d_0_7113819909502263stringSource column from the original resource.``
burundistringSource column from the original resource.``
d_18500000stringSource column from the original resource.``
d_12012761stringSource column from the original resource.``
d_6487239stringSource column from the original resource.``
d_0_35066156756756756stringSource column from the original resource.``
angolastringSource column from the original resource.``
d_20683449doubleSource column from the original resource.``
d_9912604doubleSource column from the original resource.``
d_10770845stringSource column from the original resource.``
d_0_5207470475547864doubleSource column from the original resource.``
funding_informationstringSource column from the original resource.``
ethiopiadoubleSource column from the original resource.``
kenyadoubleSource column from the original resource.``
somaliadoubleSource column from the original resource.``
horn_of_africadoubleSource column from the original resource.``
south_sudandoubleSource column from the original resource.``
ugandadoubleSource column from the original resource.``
rwandadoubleSource column from the original resource.``
tanzaniadoubleSource column from the original resource.``
great_lakesdoubleSource column from the original resource.``
lesothostringSource column from the original resource.``
madagascardoubleSource column from the original resource.``
malawistringSource column from the original resource.``
mozambiquedoubleSource column from the original resource.``
namibiadoubleSource column from the original resource.``
swazilanddoubleSource column from the original resource.``
zimbabwestringSource column from the original resource.``
regional_coordinationdoubleSource column from the original resource.``
southern_africadoubleSource column from the original resource.``
washstringSource column from the original resource.``
of_people_with_access_to_safe_waterstringSource column from the original resource.``
d_500000doubleSource column from the original resource.``
d_497644doubleSource column from the original resource.``
d_2356doubleSource column from the original resource.``
d_0_995288doubleSource column from the original resource.``
healthstringSource column from the original resource.``
of_people_receiving_long_lasting_insecticide_treated_netstringSource column from the original resource.``
d_450000doubleSource column from the original resource.``
d_177561doubleSource column from the original resource.``
d_272439doubleSource column from the original resource.``
d_0_39458doubleSource column from the original resource.``
d_50125000doubleSource column from the original resource.``
d_23151253doubleSource column from the original resource.``
d_26973747doubleSource column from the original resource.``
d_0_5381296159600998doubleSource column from the original resource.``
d_10000doubleSource column from the original resource.``
d_0doubleSource column from the original resource.``
d_10000_2doubleSource column from the original resource.``
d_0_2doubleSource column from the original resource.``
as_per_the_decision_of_the_wash_coordination_meeting_prostringSource column from the original resource.``

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-sudan-unicef-esaro-regional-db-31-march-2018-159909f3")
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"] == "SSD"]

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

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_south_sudan_unicef_esaro_regional_db_31_march_2018_159909f3_2017,
  title        = {Unicef Esaro Regional Db 31 March 2018 | Africa (UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive))},
  author       = {UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive)},
  year         = {2017},
  url          = {https://data.humdata.org/dataset/unicef-esaro-regional-db-31-october-2017},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-unicef-esaro-regional-db-31-march-2018-159909f3}}
}

License

Released under CC BY 4.0.

Original data is published by UNICEF Eastern and Southern Africa Regional Office (ESARO) (inactive). 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 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://data.humdata.org/dataset/unicef-esaro-regional-db-31-october-2017