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Datasets:
getachewgetu
/
stunting-risk-rwanda-dataset

Modalities:
Geospatial
Languages:
English
Tags:
rwanda
stunting
healthtech
Synthetic
geospatial
License:
Dataset card Data Studio Files
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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'stunting_flag'}) and 12 missing columns ({'income_band', 'is_urban', 'avg_meal_count', 'lat', 'sanitation_tier', 'top_drivers', 'district', 'water_source', 'risk_score', 'sector', 'children_under5', 'lon'}).

This happened while the csv dataset builder was generating data using

hf://datasets/getachewgetu/stunting-risk-rwanda-dataset/raw/gold_stunting_flag.csv (at revision e34e9248d8f03e1992da14bfc96d776bd7bbfec9), [/tmp/hf-datasets-cache/medium/datasets/68919769103917-config-parquet-and-info-getachewgetu-stunting-ris-342583c7/hub/datasets--getachewgetu--stunting-risk-rwanda-dataset/snapshots/e34e9248d8f03e1992da14bfc96d776bd7bbfec9/processed/households_scored.csv (origin=hf://datasets/getachewgetu/stunting-risk-rwanda-dataset@e34e9248d8f03e1992da14bfc96d776bd7bbfec9/processed/households_scored.csv), /tmp/hf-datasets-cache/medium/datasets/68919769103917-config-parquet-and-info-getachewgetu-stunting-ris-342583c7/hub/datasets--getachewgetu--stunting-risk-rwanda-dataset/snapshots/e34e9248d8f03e1992da14bfc96d776bd7bbfec9/raw/gold_stunting_flag.csv (origin=hf://datasets/getachewgetu/stunting-risk-rwanda-dataset@e34e9248d8f03e1992da14bfc96d776bd7bbfec9/raw/gold_stunting_flag.csv), /tmp/hf-datasets-cache/medium/datasets/68919769103917-config-parquet-and-info-getachewgetu-stunting-ris-342583c7/hub/datasets--getachewgetu--stunting-risk-rwanda-dataset/snapshots/e34e9248d8f03e1992da14bfc96d776bd7bbfec9/raw/households.csv (origin=hf://datasets/getachewgetu/stunting-risk-rwanda-dataset@e34e9248d8f03e1992da14bfc96d776bd7bbfec9/raw/households.csv)]

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1893, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              household_id: string
              stunting_flag: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 508
              to
              {'household_id': Value('string'), 'lat': Value('float64'), 'lon': Value('float64'), 'district': Value('string'), 'sector': Value('string'), 'is_urban': Value('int64'), 'children_under5': Value('int64'), 'avg_meal_count': Value('float64'), 'water_source': Value('string'), 'sanitation_tier': Value('string'), 'income_band': Value('string'), 'risk_score': Value('float64'), 'top_drivers': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1895, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'stunting_flag'}) and 12 missing columns ({'income_band', 'is_urban', 'avg_meal_count', 'lat', 'sanitation_tier', 'top_drivers', 'district', 'water_source', 'risk_score', 'sector', 'children_under5', 'lon'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/getachewgetu/stunting-risk-rwanda-dataset/raw/gold_stunting_flag.csv (at revision e34e9248d8f03e1992da14bfc96d776bd7bbfec9), [/tmp/hf-datasets-cache/medium/datasets/68919769103917-config-parquet-and-info-getachewgetu-stunting-ris-342583c7/hub/datasets--getachewgetu--stunting-risk-rwanda-dataset/snapshots/e34e9248d8f03e1992da14bfc96d776bd7bbfec9/processed/households_scored.csv (origin=hf://datasets/getachewgetu/stunting-risk-rwanda-dataset@e34e9248d8f03e1992da14bfc96d776bd7bbfec9/processed/households_scored.csv), /tmp/hf-datasets-cache/medium/datasets/68919769103917-config-parquet-and-info-getachewgetu-stunting-ris-342583c7/hub/datasets--getachewgetu--stunting-risk-rwanda-dataset/snapshots/e34e9248d8f03e1992da14bfc96d776bd7bbfec9/raw/gold_stunting_flag.csv (origin=hf://datasets/getachewgetu/stunting-risk-rwanda-dataset@e34e9248d8f03e1992da14bfc96d776bd7bbfec9/raw/gold_stunting_flag.csv), /tmp/hf-datasets-cache/medium/datasets/68919769103917-config-parquet-and-info-getachewgetu-stunting-ris-342583c7/hub/datasets--getachewgetu--stunting-risk-rwanda-dataset/snapshots/e34e9248d8f03e1992da14bfc96d776bd7bbfec9/raw/households.csv (origin=hf://datasets/getachewgetu/stunting-risk-rwanda-dataset@e34e9248d8f03e1992da14bfc96d776bd7bbfec9/raw/households.csv)]
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

household_id
string
lat
float64
lon
float64
district
string
sector
string
is_urban
int64
children_under5
int64
avg_meal_count
float64
water_source
string
sanitation_tier
string
income_band
string
risk_score
float64
top_drivers
string
HH-0001
-1.968579
30.017154
Nyarugenge
Kigali
1
4
2.08
protected_well
none
low
99.3
[('poor sanitation', 2.179683189435949), ('low meal count', 1.1654552323196579), ('high child count', 0.942348646448285)]
HH-0002
-1.528162
29.559406
Musanze
Muhoza
0
2
1.75
protected_well
basic
medium
89.04
[('low meal count', 3.3652658710164376), ('unsafe water source', 0.3803769324870297), ('high child count', 0.03624417870954945)]
HH-0003
-1.940508
30.048132
Nyarugenge
Kigali
1
3
1.95
unprotected_well
basic
medium
91.71
[('low meal count', 2.032047302109299), ('unsafe water source', 1.5690548465089973), ('high child count', 0.4892964125789172)]
HH-0004
-2.54375
29.682401
Huye
Ngoma
0
4
3.41
piped_into_dwelling
unimproved
low
0.05
[('high child count', 0.942348646448285), ('poor sanitation', 0.8949976160945254), ('low income', 0.8797762052322806)]
HH-0005
-1.918843
30.125137
Gasabo
Kimironko
1
1
1
protected_well
improved
low
99.9
[('low meal count', 8.364835504418208), ('low income', 0.8797762052322806), ('unsafe water source', 0.3803769324870297)]
HH-0006
-1.867711
30.089082
Gasabo
Rusororo
1
2
2.48
unprotected_well
improved
low
21.81
[('unsafe water source', 1.5690548465089973), ('low income', 0.8797762052322806), ('high child count', 0.03624417870954945)]
HH-0007
-1.997135
30.181317
Kicukiro
Kanombe
1
1
2.15
protected_well
none
medium
82.42
[('poor sanitation', 2.179683189435949), ('low meal count', 0.6988287332021602), ('unsafe water source', 0.3803769324870297)]
HH-0008
-1.945365
30.040845
Nyarugenge
Kanyinya
0
2
1.89
public_tap
unimproved
medium
77.87
[('low meal count', 2.432012872781441), ('poor sanitation', 0.8949976160945254), ('high child count', 0.03624417870954945)]
HH-0009
-1.471124
29.688387
Musanze
Cuve
0
1
2.58
piped_into_dwelling
unimproved
low
3.25
[('poor sanitation', 0.8949976160945254), ('low income', 0.8797762052322806), ('high child count', -0.4168080551598183)]
HH-0010
-1.926192
30.14689
Gasabo
Gisozi
1
5
1.41
public_tap
unimproved
medium
99.7
[('low meal count', 5.6317374381585745), ('high child count', 1.3954008803176525), ('poor sanitation', 0.8949976160945254)]
HH-0011
-1.976453
30.015236
Nyarugenge
Kigali
1
5
3.02
piped_into_dwelling
unimproved
low
1.08
[('high child count', 1.3954008803176525), ('poor sanitation', 0.8949976160945254), ('low income', 0.8797762052322806)]
HH-0012
-1.986684
30.171971
Kicukiro
Kigarama
1
2
2.92
protected_well
unimproved
low
5.58
[('poor sanitation', 0.8949976160945254), ('low income', 0.8797762052322806), ('unsafe water source', 0.3803769324870297)]
HH-0013
-2.505121
29.790821
Huye
Karama
0
2
2.93
piped_into_dwelling
basic
low
0.14
[('low income', 0.8797762052322806), ('high child count', 0.03624417870954945), ('poor sanitation', -0.3896879572468985)]
HH-0014
-1.879072
30.128079
Gasabo
Rusororo
1
2
2.58
public_tap
basic
medium
0.97
[('high child count', 0.03624417870954945), ('poor sanitation', -0.3896879572468985), ('low income', -0.7101807921754557)]
HH-0015
-2.009065
30.127478
Kicukiro
Gahanga
1
1
1.52
public_tap
none
medium
98.96
[('low meal count', 4.898467225259647), ('poor sanitation', 2.179683189435949), ('high child count', -0.4168080551598183)]
HH-0016
-2.005328
30.182096
Kicukiro
Masaka
1
2
1.28
protected_well
improved
low
99.61
[('low meal count', 6.498329507948213), ('low income', 0.8797762052322806), ('unsafe water source', 0.3803769324870297)]
HH-0017
-2.569749
29.659703
Huye
Kinazi
0
2
1.84
unprotected_well
none
high
97.5
[('low meal count', 2.7653175150082245), ('poor sanitation', 2.179683189435949), ('unsafe water source', 1.5690548465089973)]
HH-0018
-1.931341
30.069854
Gasabo
Rusororo
0
3
1.39
public_tap
unimproved
low
99.87
[('low meal count', 5.765059295049288), ('poor sanitation', 0.8949976160945254), ('low income', 0.8797762052322806)]
HH-0019
-2.554972
29.773603
Huye
Karama
0
3
1
public_tap
none
high
99.94
[('low meal count', 8.364835504418208), ('poor sanitation', 2.179683189435949), ('high child count', 0.4892964125789172)]
HH-0020
-1.96626
30.051401
Nyarugenge
Gitega
1
2
3.28
public_tap
basic
medium
0.01
[('high child count', 0.03624417870954945), ('poor sanitation', -0.3896879572468985), ('low income', -0.7101807921754557)]
HH-0021
-1.496271
29.726715
Musanze
Busogo
0
1
2.52
piped_into_dwelling
improved
medium
0.08
[('high child count', -0.4168080551598183), ('low income', -0.7101807921754557), ('poor sanitation', -1.6743735305883223)]
HH-0022
-1.922009
30.112181
Gasabo
Kimironko
1
1
3.9
piped_into_dwelling
improved
medium
0
[('high child count', -0.4168080551598183), ('low income', -0.7101807921754557), ('poor sanitation', -1.6743735305883223)]
HH-0023
-1.939679
30.008703
Nyarugenge
Mageregere
1
5
2.18
piped_into_dwelling
improved
high
0.93
[('high child count', 1.3954008803176525), ('low meal count', 0.4988459478660876), ('poor sanitation', -1.6743735305883223)]
HH-0024
-2.02705
30.184978
Kicukiro
Masaka
1
4
2.19
unprotected_well
basic
low
94.52
[('unsafe water source', 1.5690548465089973), ('high child count', 0.942348646448285), ('low income', 0.8797762052322806)]
HH-0025
-1.483132
29.692947
Musanze
Cuve
0
2
1.82
piped_into_dwelling
none
medium
86.06
[('low meal count', 2.8986393718989385), ('poor sanitation', 2.179683189435949), ('high child count', 0.03624417870954945)]
HH-0026
-1.944319
30.069676
Nyarugenge
Gitega
1
4
1.58
protected_well
unimproved
low
99.91
[('low meal count', 4.498501654587505), ('high child count', 0.942348646448285), ('poor sanitation', 0.8949976160945254)]
HH-0027
-2.018758
30.126734
Kicukiro
Masaka
1
1
2.35
unprotected_well
improved
medium
7.92
[('unsafe water source', 1.5690548465089973), ('high child count', -0.4168080551598183), ('low meal count', -0.63438983570498)]
HH-0028
-1.860381
30.10733
Gasabo
Kimironko
1
4
3.97
piped_into_dwelling
improved
medium
0
[('high child count', 0.942348646448285), ('low income', -0.7101807921754557), ('poor sanitation', -1.6743735305883223)]
HH-0029
-2.510894
29.758025
Huye
Kinazi
0
2
2.2
unprotected_well
basic
low
86.69
[('unsafe water source', 1.5690548465089973), ('low income', 0.8797762052322806), ('low meal count', 0.36552409097537364)]
HH-0030
-1.980705
30.189756
Kicukiro
Gahanga
1
4
1.99
public_tap
basic
low
85.85
[('low meal count', 1.7654035883278707), ('high child count', 0.942348646448285), ('low income', 0.8797762052322806)]
HH-0031
-1.538321
29.740032
Musanze
Muhoza
0
2
2.14
protected_well
basic
high
10.96
[('low meal count', 0.7654896616475158), ('unsafe water source', 0.3803769324870297), ('high child count', 0.03624417870954945)]
HH-0032
-2.488438
29.672569
Huye
Kigoma
0
4
2.94
protected_well
unimproved
low
11.34
[('high child count', 0.942348646448285), ('poor sanitation', 0.8949976160945254), ('low income', 0.8797762052322806)]
HH-0033
-2.473388
29.685657
Huye
Gishamvu
0
2
2.57
piped_into_dwelling
unimproved
low
5.35
[('poor sanitation', 0.8949976160945254), ('low income', 0.8797762052322806), ('high child count', 0.03624417870954945)]
HH-0034
-1.933788
30.027082
Nyarugenge
Kanyinya
0
3
2.66
protected_well
basic
low
12.7
[('low income', 0.8797762052322806), ('high child count', 0.4892964125789172), ('unsafe water source', 0.3803769324870297)]
HH-0035
-1.512498
29.717654
Musanze
Gacaca
0
2
2.23
protected_well
unimproved
high
19.63
[('poor sanitation', 0.8949976160945254), ('unsafe water source', 0.3803769324870297), ('low meal count', 0.1655413056393041)]
HH-0036
-1.937405
30.067995
Nyarugenge
Gitega
1
1
2.21
piped_into_dwelling
basic
low
9.87
[('low income', 0.8797762052322806), ('low meal count', 0.2988631625300181), ('poor sanitation', -0.3896879572468985)]
HH-0037
-1.960235
30.019393
Nyarugenge
Gitega
1
1
3.37
piped_into_dwelling
basic
medium
0
[('poor sanitation', -0.3896879572468985), ('high child count', -0.4168080551598183), ('low income', -0.7101807921754557)]
HH-0038
-1.994164
30.156993
Kicukiro
Kigarama
1
4
2.59
piped_into_dwelling
basic
medium
0.69
[('high child count', 0.942348646448285), ('poor sanitation', -0.3896879572468985), ('low income', -0.7101807921754557)]
HH-0039
-1.478499
29.617126
Musanze
Gacaca
0
2
2.77
protected_well
unimproved
low
13.83
[('poor sanitation', 0.8949976160945254), ('low income', 0.8797762052322806), ('unsafe water source', 0.3803769324870297)]
HH-0040
-1.461972
29.562312
Musanze
Cuve
0
1
3.78
protected_well
improved
high
0
[('unsafe water source', 0.3803769324870297), ('high child count', -0.4168080551598183), ('poor sanitation', -1.6743735305883223)]
HH-0041
-2.021719
30.100466
Kicukiro
Nyarugunga
1
1
2.41
unprotected_well
improved
low
22.04
[('unsafe water source', 1.5690548465089973), ('low income', 0.8797762052322806), ('high child count', -0.4168080551598183)]
HH-0042
-2.542552
29.818492
Huye
Kinazi
0
1
2.86
protected_well
unimproved
low
5.3
[('poor sanitation', 0.8949976160945254), ('low income', 0.8797762052322806), ('unsafe water source', 0.3803769324870297)]
HH-0043
-2.484971
29.697573
Huye
Kinazi
0
1
1.59
public_tap
basic
high
48.25
[('low meal count', 4.431840726142148), ('poor sanitation', -0.3896879572468985), ('high child count', -0.4168080551598183)]
HH-0044
-1.96714
30.064981
Nyarugenge
Kanyinya
1
5
2.98
unprotected_well
unimproved
low
33.59
[('unsafe water source', 1.5690548465089973), ('high child count', 1.3954008803176525), ('poor sanitation', 0.8949976160945254)]
HH-0045
-2.529427
29.713234
Huye
Ngoma
0
2
2.02
unprotected_well
basic
medium
81.52
[('unsafe water source', 1.5690548465089973), ('low meal count', 1.5654208029917998), ('high child count', 0.03624417870954945)]
HH-0046
-2.017578
30.1695
Kicukiro
Kanombe
0
2
2.37
piped_into_dwelling
basic
low
5.6
[('low income', 0.8797762052322806), ('high child count', 0.03624417870954945), ('poor sanitation', -0.3896879572468985)]
HH-0047
-1.881362
30.120627
Gasabo
Ndera
1
2
3.27
protected_well
improved
low
0.04
[('low income', 0.8797762052322806), ('unsafe water source', 0.3803769324870297), ('high child count', 0.03624417870954945)]
HH-0048
-1.940721
30.047875
Nyarugenge
Mageragere
1
2
2.44
public_tap
improved
low
3.27
[('low income', 0.8797762052322806), ('high child count', 0.03624417870954945), ('unsafe water source', -0.8083009815349379)]
HH-0049
-1.576245
29.617341
Musanze
Cuve
0
1
2.48
unprotected_well
basic
medium
11.55
[('unsafe water source', 1.5690548465089973), ('poor sanitation', -0.3896879572468985), ('high child count', -0.4168080551598183)]
HH-0050
-1.915214
30.101828
Gasabo
Kacyiru
1
1
2.05
public_tap
basic
low
51.09
[('low meal count', 1.3654380176557301), ('low income', 0.8797762052322806), ('poor sanitation', -0.3896879572468985)]
HH-0051
-1.983598
30.114726
Kicukiro
Gahanga
1
4
2.1
protected_well
unimproved
high
58.98
[('low meal count', 1.0321333754289437), ('high child count', 0.942348646448285), ('poor sanitation', 0.8949976160945254)]
HH-0052
-1.936296
30.139133
Gasabo
Rusororo
1
1
1.58
unprotected_well
basic
low
99.61
[('low meal count', 4.498501654587505), ('unsafe water source', 1.5690548465089973), ('low income', 0.8797762052322806)]
HH-0053
-2.575383
29.796247
Huye
Kinazi
0
1
2.91
public_tap
unimproved
medium
0.25
[('poor sanitation', 0.8949976160945254), ('high child count', -0.4168080551598183), ('low income', -0.7101807921754557)]
HH-0054
-1.598703
29.618192
Musanze
Cuve
0
4
3.09
unprotected_well
improved
low
1.17
[('unsafe water source', 1.5690548465089973), ('high child count', 0.942348646448285), ('low income', 0.8797762052322806)]
HH-0055
-2.537202
29.698635
Huye
Karama
0
4
2.77
piped_into_dwelling
basic
low
1.01
[('high child count', 0.942348646448285), ('low income', 0.8797762052322806), ('poor sanitation', -0.3896879572468985)]
HH-0056
-1.874632
30.074264
Gasabo
Rusororo
1
3
2.9
unprotected_well
improved
medium
0.54
[('unsafe water source', 1.5690548465089973), ('high child count', 0.4892964125789172), ('low income', -0.7101807921754557)]
HH-0057
-2.023983
30.158508
Kicukiro
Gahanga
0
1
2.01
public_tap
improved
medium
7.15
[('low meal count', 1.6320817314371583), ('high child count', -0.4168080551598183), ('low income', -0.7101807921754557)]
HH-0058
-1.983429
30.129346
Kicukiro
Gahanga
1
0
2.23
protected_well
improved
low
15.38
[('low income', 0.8797762052322806), ('unsafe water source', 0.3803769324870297), ('low meal count', 0.1655413056393041)]
HH-0059
-2.021477
30.174478
Kicukiro
Gahanga
1
2
2.17
protected_well
improved
medium
12.03
[('low meal count', 0.5655068763114461), ('unsafe water source', 0.3803769324870297), ('high child count', 0.03624417870954945)]
HH-0060
-2.036117
30.107614
Kicukiro
Kigarama
1
3
1.86
piped_into_dwelling
unimproved
high
29.58
[('low meal count', 2.6319956581175106), ('poor sanitation', 0.8949976160945254), ('high child count', 0.4892964125789172)]
HH-0061
-1.959334
30.007486
Nyarugenge
Mageragere
1
1
2.35
public_tap
basic
medium
2.8
[('poor sanitation', -0.3896879572468985), ('high child count', -0.4168080551598183), ('low meal count', -0.63438983570498)]
HH-0062
-1.85802
30.102796
Gasabo
Rusororo
1
1
2.94
unprotected_well
unimproved
medium
2.15
[('unsafe water source', 1.5690548465089973), ('poor sanitation', 0.8949976160945254), ('high child count', -0.4168080551598183)]
HH-0063
-1.869165
30.074017
Gasabo
Kacyiru
0
4
3.06
unprotected_well
unimproved
low
15.87
[('unsafe water source', 1.5690548465089973), ('high child count', 0.942348646448285), ('poor sanitation', 0.8949976160945254)]
HH-0064
-1.49692
29.569459
Musanze
Muhoza
0
2
2.98
protected_well
improved
medium
0.06
[('unsafe water source', 0.3803769324870297), ('high child count', 0.03624417870954945), ('low income', -0.7101807921754557)]
HH-0065
-2.035158
30.105547
Kicukiro
Nyarugunga
1
4
3.58
piped_into_dwelling
basic
medium
0
[('high child count', 0.942348646448285), ('poor sanitation', -0.3896879572468985), ('low income', -0.7101807921754557)]
HH-0066
-2.503296
29.687899
Huye
Kinazi
0
1
2.23
piped_into_dwelling
none
low
55.59
[('poor sanitation', 2.179683189435949), ('low income', 0.8797762052322806), ('low meal count', 0.1655413056393041)]
HH-0067
-1.922752
30.087649
Gasabo
Rusororo
1
4
3.69
protected_well
none
low
0.31
[('poor sanitation', 2.179683189435949), ('high child count', 0.942348646448285), ('low income', 0.8797762052322806)]
HH-0068
-1.958974
30.075113
Nyarugenge
Mageregere
1
2
2.34
protected_well
none
low
91.06
[('poor sanitation', 2.179683189435949), ('low income', 0.8797762052322806), ('unsafe water source', 0.3803769324870297)]
HH-0069
-2.039733
30.185273
Kicukiro
Masaka
0
0
1.37
public_tap
improved
low
94.47
[('low meal count', 5.898381151940001), ('low income', 0.8797762052322806), ('unsafe water source', -0.8083009815349379)]
HH-0070
-1.928988
30.091069
Gasabo
Kimironko
1
2
1.78
protected_well
unimproved
low
99.16
[('low meal count', 3.165283085680367), ('poor sanitation', 0.8949976160945254), ('low income', 0.8797762052322806)]
HH-0071
-1.917454
30.061791
Gasabo
Kacyiru
1
1
1.86
protected_well
none
medium
97.01
[('low meal count', 2.6319956581175106), ('poor sanitation', 2.179683189435949), ('unsafe water source', 0.3803769324870297)]
HH-0072
-1.851384
30.145307
Gasabo
Gisozi
1
3
1.31
piped_into_dwelling
basic
medium
95.71
[('low meal count', 6.298346722612142), ('high child count', 0.4892964125789172), ('poor sanitation', -0.3896879572468985)]
HH-0073
-2.568717
29.742116
Huye
Kigoma
0
2
2.76
public_tap
basic
low
1.43
[('low income', 0.8797762052322806), ('high child count', 0.03624417870954945), ('poor sanitation', -0.3896879572468985)]
HH-0074
-2.02127
30.192462
Kicukiro
Gahanga
1
2
2.86
protected_well
basic
low
2.38
[('low income', 0.8797762052322806), ('unsafe water source', 0.3803769324870297), ('high child count', 0.03624417870954945)]
HH-0075
-1.93671
30.086213
Gasabo
Gisozi
1
1
2.89
unprotected_well
basic
medium
0.84
[('unsafe water source', 1.5690548465089973), ('poor sanitation', -0.3896879572468985), ('high child count', -0.4168080551598183)]
HH-0076
-1.455557
29.695647
Musanze
Cuve
0
0
2.69
protected_well
improved
high
0.04
[('unsafe water source', 0.3803769324870297), ('high child count', -0.869860289029186), ('poor sanitation', -1.6743735305883223)]
HH-0077
-2.03339
30.125693
Kicukiro
Kanombe
0
4
2.96
public_tap
improved
medium
0.05
[('high child count', 0.942348646448285), ('low income', -0.7101807921754557), ('unsafe water source', -0.8083009815349379)]
HH-0078
-1.477626
29.57449
Musanze
Busogo
0
2
1.13
protected_well
basic
low
99.96
[('low meal count', 7.498243434628569), ('low income', 0.8797762052322806), ('unsafe water source', 0.3803769324870297)]
HH-0079
-1.483512
29.702682
Musanze
Kimonyi
0
2
2.59
piped_into_dwelling
basic
low
1.35
[('low income', 0.8797762052322806), ('high child count', 0.03624417870954945), ('poor sanitation', -0.3896879572468985)]
HH-0080
-1.854532
30.068026
Gasabo
Rusororo
1
3
2.4
unprotected_well
basic
low
72.99
[('unsafe water source', 1.5690548465089973), ('low income', 0.8797762052322806), ('high child count', 0.4892964125789172)]
HH-0081
-1.990476
30.188303
Kicukiro
Kanombe
1
0
2.36
public_tap
basic
medium
1.69
[('poor sanitation', -0.3896879572468985), ('low meal count', -0.7010507641503355), ('low income', -0.7101807921754557)]
HH-0082
-2.493471
29.675652
Huye
Gishamvu
0
4
3.01
protected_well
basic
low
2.17
[('high child count', 0.942348646448285), ('low income', 0.8797762052322806), ('unsafe water source', 0.3803769324870297)]
HH-0083
-2.036557
30.192328
Kicukiro
Kigarama
1
3
1.89
piped_into_dwelling
improved
medium
11.44
[('low meal count', 2.432012872781441), ('high child count', 0.4892964125789172), ('low income', -0.7101807921754557)]
HH-0084
-2.047549
30.193812
Kicukiro
Gahanga
1
4
2.73
protected_well
basic
medium
2.84
[('high child count', 0.942348646448285), ('unsafe water source', 0.3803769324870297), ('poor sanitation', -0.3896879572468985)]
HH-0085
-1.93988
30.056696
Gasabo
Rusororo
1
3
3.51
unprotected_well
basic
low
0.16
[('unsafe water source', 1.5690548465089973), ('low income', 0.8797762052322806), ('high child count', 0.4892964125789172)]
HH-0086
-2.002773
30.185985
Kicukiro
Kanombe
1
1
3.22
piped_into_dwelling
improved
low
0
[('low income', 0.8797762052322806), ('high child count', -0.4168080551598183), ('poor sanitation', -1.6743735305883223)]
HH-0087
-1.914679
30.08501
Gasabo
Rusororo
1
5
3.04
public_tap
unimproved
low
3.05
[('high child count', 1.3954008803176525), ('poor sanitation', 0.8949976160945254), ('low income', 0.8797762052322806)]
HH-0088
-2.048693
30.150808
Kicukiro
Masaka
1
0
2.78
public_tap
basic
low
0.51
[('low income', 0.8797762052322806), ('poor sanitation', -0.3896879572468985), ('unsafe water source', -0.8083009815349379)]
HH-0089
-1.952161
30.027765
Nyarugenge
Mageregere
1
1
1.49
public_tap
basic
low
97.76
[('low meal count', 5.098450010595719), ('low income', 0.8797762052322806), ('poor sanitation', -0.3896879572468985)]
HH-0090
-1.906351
30.054522
Gasabo
Kacyiru
0
2
2.32
public_tap
unimproved
low
49.54
[('poor sanitation', 0.8949976160945254), ('low income', 0.8797762052322806), ('high child count', 0.03624417870954945)]
HH-0091
-1.902131
30.133204
Gasabo
Kacyiru
1
1
2.65
public_tap
basic
low
1.88
[('low income', 0.8797762052322806), ('poor sanitation', -0.3896879572468985), ('high child count', -0.4168080551598183)]
HH-0092
-2.553243
29.842163
Huye
Ngoma
0
4
1.96
public_tap
unimproved
low
96.4
[('low meal count', 1.9653863736639419), ('high child count', 0.942348646448285), ('poor sanitation', 0.8949976160945254)]
HH-0093
-1.949276
30.098672
Gasabo
Gisozi
1
1
2.69
piped_into_dwelling
unimproved
medium
0.33
[('poor sanitation', 0.8949976160945254), ('high child count', -0.4168080551598183), ('low income', -0.7101807921754557)]
HH-0094
-1.523721
29.67038
Musanze
Kimonyi
0
1
2.13
public_tap
basic
medium
11.11
[('low meal count', 0.8321505900928742), ('poor sanitation', -0.3896879572468985), ('high child count', -0.4168080551598183)]
HH-0095
-2.529305
29.77917
Huye
Gishamvu
0
3
2.3
surface_water
basic
medium
77.89
[('unsafe water source', 2.7577327605309656), ('high child count', 0.4892964125789172), ('low meal count', -0.30108519347819346)]
HH-0096
-1.942222
30.061157
Gasabo
Ndera
1
1
2.4
surface_water
basic
medium
42.23
[('unsafe water source', 2.7577327605309656), ('poor sanitation', -0.3896879572468985), ('high child count', -0.4168080551598183)]
HH-0097
-1.907336
30.130734
Gasabo
Rusororo
1
1
2.9
piped_into_dwelling
improved
low
0.03
[('low income', 0.8797762052322806), ('high child count', -0.4168080551598183), ('poor sanitation', -1.6743735305883223)]
HH-0098
-1.948517
30.069619
Nyarugenge
Mageregere
0
1
1.82
piped_into_dwelling
basic
high
5.78
[('low meal count', 2.8986393718989385), ('poor sanitation', -0.3896879572468985), ('high child count', -0.4168080551598183)]
HH-0099
-2.027798
30.148617
Kicukiro
Nyarugunga
1
2
3.47
public_tap
unimproved
low
0.05
[('poor sanitation', 0.8949976160945254), ('low income', 0.8797762052322806), ('high child count', 0.03624417870954945)]
HH-0100
-2.040033
30.165072
Kicukiro
Masaka
1
1
2.88
public_tap
unimproved
medium
0.3
[('poor sanitation', 0.8949976160945254), ('high child count', -0.4168080551598183), ('low income', -0.7101807921754557)]
End of preview.

Stunting Risk Rwanda — Synthetic Dataset

Synthetic NISR-style household dataset for childhood stunting risk modelling. Generated for the AIMS KTT Hackathon (S2.T1.2).

Files

File Description
raw/households.csv 2,500 households with features
raw/gold_stunting_flag.csv 300 labelled households (50/50)
raw/districts.geojson Simplified district polygons
processed/households_scored.csv All 2,500 households with risk scores
generate_data.py Reproducible data generator script

Schema — households.csv

household_id, lat, lon, district, sector, is_urban, children_under5, avg_meal_count, water_source, sanitation_tier, income_band

Regenerate 

python generate_data.py
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