electricsheepafrica/africa-south-sudan-south-sudan-operational-presence-405c6b3b

South Sudan Operational Presence | Africa (OCHA South Sudan)

1,423 rows - 1 Africa country/area - 2020 - source table - Engineered by Electric Sheep Africa

TL;DR

This dataset contains 1,423 rows from OCHA South Sudan, covering South Sudan 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: South Sudan - Who is doing what where April 2020(State Level)

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	1,423
Countries/areas	1
First period	2020
Last period	2020
Indicators	0
Columns	102
Source format	XLSX

Geographic Coverage

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

Area	Rows	First year	Last year	Name
SSD	1,423	2020	2020	South Sudan

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.	71c9cd53-e3ea-4d9c-9d8a-bda69adf41a5:check:0
country_iso3	dictionary<values=string, indices=int8, ordered=0>	ISO3 country or area code.	SSD
country_name	dictionary<values=string, indices=int8, ordered=0>	Country or area name.	South Sudan
source_sheet	string	Source column from the original resource.	Check
year	int64	Observation year.	2020
setup_completed	string	Source column from the original resource.	``
true	string	Source column from the original resource.	``
p	string	Source column from the original resource.	``
ok	string	Source column from the original resource.	``
error_s_in_3w_data_entry	string	Source column from the original resource.	Empty Rows in 3W data entry
false	string	Source column from the original resource.	False
p_2	string	Source column from the original resource.	P
ok_2	string	Source column from the original resource.	OK
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<values=string, indices=int8, ordered=0>	Source column from the original resource.	2020
source_provider	dictionary<values=string, indices=int8, ordered=0>	Publishing organization.	OCHA South Sudan
source_dataset	dictionary<values=string, indices=int8, ordered=0>	Source dataset or package title.	South Sudan: Operational Presence
source_resource	dictionary<values=string, indices=int8, ordered=0>	Source resource title, table name, or file name.	SS_20200611_3WOP_State_Level_April
source_package_id	dictionary<values=string, indices=int8, ordered=0>	Source package identifier.	531fe931-4b87-43e9-ae4c-a3e25a2bd388
source_resource_id	dictionary<values=string, indices=int8, ordered=0>	Source resource identifier.	71c9cd53-e3ea-4d9c-9d8a-bda69adf41a5
source_url	dictionary<values=string, indices=int8, ordered=0>	Original source URL or download URL.	https://data.humdata.org/dataset/531fe931-4b87-43e9-ae4c-a3e25a2bd388...
license_id	dictionary<values=string, indices=int8, ordered=0>	Source license identifier.	cc-by
retrieved_at	dictionary<values=string, indices=int8, ordered=0>	UTC source retrieval timestamp from the Electric Sheep Africa pipeline.	2026-08-10T18:18:23Z
select_the_type_of_activity_you_want_to_see_in_the_dashb	string	Source column from the original resource.	``
pcode	string	Source column from the original resource.	``
state	string	Source column from the original resource.	``
cccm	string	Source column from the original resource.	``
education	string	Source column from the original resource.	``
es_nfi	string	Source column from the original resource.	``
fsl	string	Source column from the original resource.	``
health	string	Source column from the original resource.	``
logistics	string	Source column from the original resource.	``
nutrition	string	Source column from the original resource.	``
protection	string	Source column from the original resource.	``
wash	string	Source column from the original resource.	``
acronym	string	Source column from the original resource.	``
organisation	string	Source column from the original resource.	``
org_type	string	Source column from the original resource.	``
sector	string	Source column from the original resource.	``
activity_type	string	Source column from the original resource.	``
admin_unit_name	string	Source column from the original resource.	``
beneficiaries	double	Source column from the original resource.	``
concatenate	string	Source column from the original resource.	``
check_duplicated_entries	double	Source column from the original resource.	``
pt_concat	string	Source column from the original resource.	``
count_pt_concat	double	Source column from the original resource.	``
pt_id	double	Source column from the original resource.	``
pt_firstid	string	Source column from the original resource.	``
pt_lastid_row	double	Source column from the original resource.	``
pt_lstorg	string	Source column from the original resource.	``
pt_show	string	Source column from the original resource.	``
name	string	Source column from the original resource.	``
type	string	Source column from the original resource.	``
id	double	Source column from the original resource.	``
titlebartext	string	Source column from the original resource.	``
dashboard_text	string	Source column from the original resource.	``
organization_type	string	Source column from the original resource.	``
adminname	string	Source column from the original resource.	``
r	string	Source column from the original resource.	``
g	double	Source column from the original resource.	``
b	double	Source column from the original resource.	``
color	string	Source column from the original resource.	``
number_of_dashboard_maps	double	Source column from the original resource.	``
is_setup_complete	string	Source column from the original resource.	``
planned	double	Source column from the original resource.	``
ongoing	double	Source column from the original resource.	``
all_programs	double	Source column from the original resource.	``
current_activity_type	double	Source column from the original resource.	``
bins	double	Source column from the original resource.	``
rank	double	Source column from the original resource.	``
bins_2	double	Source column from the original resource.	``
rank_2	double	Source column from the original resource.	``
bins_3	double	Source column from the original resource.	``
rank_3	double	Source column from the original resource.	``
bins_4	double	Source column from the original resource.	``
rank_4	double	Source column from the original resource.	``
bins_5	double	Source column from the original resource.	``
rank_5	double	Source column from the original resource.	``
bins_6	double	Source column from the original resource.	``
rank_6	double	Source column from the original resource.	``
bins_7	double	Source column from the original resource.	``
rank_7	double	Source column from the original resource.	``
bins_8	double	Source column from the original resource.	``
rank_8	double	Source column from the original resource.	``
bins_9	double	Source column from the original resource.	``
rank_9	double	Source column from the original resource.	``
bins_10	double	Source column from the original resource.	``
ss92	string	Source column from the original resource.	``
central_equatoria	string	Source column from the original resource.	``
map0	string	Source column from the original resource.	``
dashboard_e_10	string	Source column from the original resource.	``
exists	double	Source column from the original resource.	``
name_2	string	Source column from the original resource.	``
multiple	double	Source column from the original resource.	``
timestamp	string	Source column from the original resource.	``
err_number	double	Source column from the original resource.	``
err_description	string	Source column from the original resource.	``
err_module	string	Source column from the original resource.	``
err_procedure	string	Source column from the original resource.	``
err_line	double	Source column from the original resource.	``
err_source	string	Source column from the original resource.	``

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-south-sudan-south-sudan-operational-presence-405c6b3b")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

print(df.info())
print(df.head())

Filter By Geography

if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "SSD"]

Time-Series Pattern

if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

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 South Sudan
• Publisher: OCHA South Sudan
• Portal: https://data.humdata.org
• Resource: SS_20200611_3WOP_State_Level_April
• License: CC BY 4.0
• Retrieved/generated: 2026-08-10T18:29:51Z
• Hugging Face repo: electricsheepafrica/africa-south-sudan-south-sudan-operational-presence-405c6b3b

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

@misc{electric_sheep_africa_africa_south_sudan_south_sudan_operational_presence_405c6b3b_2020,
  title        = {South Sudan Operational Presence | Africa (OCHA South Sudan)},
  author       = {OCHA South Sudan},
  year         = {2020},
  url          = {https://data.humdata.org/dataset/south-sudan-operational-presence},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-south-sudan-south-sudan-operational-presence-405c6b3b}}
}

License

Released under CC BY 4.0.

Original data is published by OCHA South Sudan. 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/south-sudan-operational-presence