Hugging Face's logo

Datasets:
electricsheepafrica
/
africa-morocco-activite-detaillee-des-cours-d-appel-en-2022-b656113c

Tasks:
Tabular Regression
Time Series Forecasting
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
tabular
africa
open-data
official-statistics
morocco
mj
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
Olaroti commited on
Commit
d0add8d
·
verified ·
1 Parent(s): c778113

Standardize Electric Sheep Africa dataset card

Browse files
Files changed (1) hide show
  1. README.md +262 -195
README.md CHANGED
@@ -5,207 +5,231 @@ language:
5
  task_categories:
6
  - tabular-regression
7
  - time-series-forecasting
8
- multilinguality: monolingual
9
  size_categories:
10
  - n<1K
11
  tags:
12
- - tabular
13
- - xlsx
14
- - africa
15
- - morocco
16
- - official-statistics
17
- - open-data
18
- pretty_name: "Activité détaillée des Cours d'appel en 2022 | Africa (Morocco official open data)"
 
 
 
 
 
 
 
 
 
19
  ---
20
 
21
- # Activité détaillée des Cours d'appel en 2022 | Africa (Morocco official open data)
22
 
23
- 88 rows - 1 Africa country - 1946-1990 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
24
 
25
  ![rows](https://img.shields.io/badge/rows-88-blue)
26
  ![countries](https://img.shields.io/badge/countries-1-green)
27
- ![years](https://img.shields.io/badge/years-1946-1990-orange)
28
- ![indicators](https://img.shields.io/badge/indicators-0-purple)
29
  ![license](https://img.shields.io/badge/license-odbl-lightgrey)
30
 
31
  ## TL;DR
32
 
33
- This dataset packages one official `XLSX` resource from **Morocco** as
34
- ML-ready Parquet. The source file is the provenance boundary; all usable
35
- indicators or tabular columns from the resource stay together in this repo.
36
 
37
- ## About the source
38
 
39
- - **Source:** [Activité détaillée des Cours d'appel en 2022](https://data.gov.ma/data/dataset/activite-detaillee-des-cours-d-appel-en-2022)
40
- - **Publisher:** MJ
41
- - **Resource:** [النشاط المفصل لمحاكم الاستئناف.xlsx](https://data.gov.ma/data/ar/dataset/a71932ce-435a-490a-b3e2-ccaaff028118/resource/f38c1707-26cb-451f-aa2d-163a5ecf4574/download/-.xlsx)
42
- - **Format:** `XLSX`
43
- - **License:** [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/)
44
- - **Packaging mode:** `indicator_long`
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
45
 
46
- ## Geographic coverage
47
 
48
- 1 Africa country:
49
 
50
- | Country | Rows | First year | Last year | Name |
51
- |---------|-----:|-----------:|----------:|------|
52
- | `MAR` | 88 | 1946 | 1990 | `Morocco` |
53
 
54
- ## Indicators or Resource Contents
55
 
56
- - `<NA>` - <NA>
57
 
58
  ## Schema
59
 
60
  | Column | Type | Description | Example |
61
  |--------|------|-------------|---------|
62
- | `indicator_id` | `string` | Stable indicator identifier. | `` |
63
  | `indicator_name` | `string` | Human-readable indicator name. | `` |
64
- | `country_iso3` | `string` | ISO3 country code. | `` |
65
- | `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `الاستئناف بتفصيل2022` |
66
- | `country_name` | `string` | Country name. | `` |
67
- | `year` | `Int64` | Observation year. | `1952` |
68
- | `value` | `float64` | Numeric observation value. | `316.0` |
69
- | `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` |
70
- | `dimension_column` | `string` | Source dimension. | `محكمة الاستئناف بالرباط` |
71
- | `dimension_d_349` | `string` | Source dimension. | `302` |
72
- | `dimension_d_2125` | `string` | Source dimension. | `3147` |
73
- | `dimension_d_342` | `string` | Source dimension. | `314` |
74
- | `dimension_d_373` | `string` | Source dimension. | `1136` |
75
- | `dimension_d_429` | `string` | Source dimension. | `278` |
76
- | `dimension_d_3` | `string` | Source dimension. | `55` |
77
- | `dimension_d_980` | `string` | Source dimension. | `2441` |
78
- | `dimension_d_1448` | `string` | Source dimension. | `882` |
79
- | `dimension_d_64` | `string` | Source dimension. | `2` |
80
- | `dimension_d_838` | `string` | Source dimension. | `2682` |
81
- | `dimension_d_0` | `string` | Source dimension. | `0` |
82
- | `dimension_d_6951` | `string` | Source dimension. | `11239` |
83
- | `dimension_column_2` | `string` | Source dimension. | `محكمة الاستئناف بالرباط` |
84
- | `dimension_d_2220` | `string` | Source dimension. | `972` |
85
- | `dimension_d_7536` | `string` | Source dimension. | `2227` |
86
- | `dimension_d_500` | `string` | Source dimension. | `181` |
87
- | `dimension_d_567` | `string` | Source dimension. | `743` |
88
- | `dimension_d_2050` | `string` | Source dimension. | `259` |
89
- | `dimension_d_145` | `string` | Source dimension. | `193` |
90
- | `dimension_d_2596` | `string` | Source dimension. | `1405` |
91
- | `dimension_d_9873` | `string` | Source dimension. | `1543` |
92
- | `dimension_d_198` | `string` | Source dimension. | `0` |
93
- | `dimension_d_2884` | `string` | Source dimension. | `1782` |
94
- | `dimension_d_0_2` | `string` | Source dimension. | `0` |
95
- | `dimension_d_28569` | `string` | Source dimension. | `9305` |
96
- | `dimension_column_3` | `string` | Source dimension. | `محكمة الاستئناف بالرباط` |
97
- | `dimension_d_2569` | `string` | Source dimension. | `1274` |
98
- | `dimension_d_9661` | `string` | Source dimension. | `5374` |
99
- | `dimension_d_842` | `string` | Source dimension. | `495` |
100
- | `dimension_d_940` | `string` | Source dimension. | `1879` |
101
- | `dimension_d_2479` | `string` | Source dimension. | `537` |
102
- | `dimension_d_148` | `string` | Source dimension. | `248` |
103
- | `dimension_d_3576` | `string` | Source dimension. | `3846` |
104
- | `dimension_d_11321` | `string` | Source dimension. | `2425` |
105
- | `dimension_d_262` | `string` | Source dimension. | `2` |
106
- | `dimension_d_3722` | `string` | Source dimension. | `4464` |
107
- | `dimension_d_0_3` | `string` | Source dimension. | `0` |
108
- | `dimension_d_35520` | `string` | Source dimension. | `20544` |
109
- | `dimension_column_4` | `string` | Source dimension. | `محكمة الاستئناف بالرباط` |
110
- | `dimension_d_2410` | `string` | Source dimension. | `996` |
111
- | `dimension_d_6997` | `string` | Source dimension. | `3081` |
112
- | `dimension_d_494` | `string` | Source dimension. | `297` |
113
- | `dimension_d_460` | `string` | Source dimension. | `1154` |
114
- | `dimension_d_145_2` | `string` | Source dimension. | `243` |
115
- | `dimension_d_2743` | `string` | Source dimension. | `2344` |
116
- | `dimension_d_7925` | `string` | Source dimension. | `1805` |
117
- | `dimension_d_193` | `string` | Source dimension. | `1` |
118
- | `dimension_d_2666` | `string` | Source dimension. | `2880` |
119
- | `dimension_d_0_4` | `string` | Source dimension. | `0` |
120
- | `dimension_d_25985` | `string` | Source dimension. | `13117` |
121
- | `dimension_column_5` | `string` | Source dimension. | `محكمة الاستئناف بالرباط` |
122
- | `dimension_d_159` | `string` | Source dimension. | `278` |
123
- | `dimension_d_2664` | `string` | Source dimension. | `2293` |
124
- | `dimension_d_348` | `string` | Source dimension. | `198` |
125
- | `dimension_d_480` | `string` | Source dimension. | `725` |
126
- | `dimension_d_527` | `string` | Source dimension. | `221` |
127
- | `dimension_d_3_2` | `string` | Source dimension. | `5` |
128
- | `dimension_d_833` | `string` | Source dimension. | `1502` |
129
- | `dimension_d_3396` | `string` | Source dimension. | `620` |
130
- | `dimension_d_69` | `string` | Source dimension. | `1` |
131
- | `dimension_d_1056` | `string` | Source dimension. | `1584` |
132
- | `dimension_d_0_5` | `string` | Source dimension. | `0` |
133
- | `dimension_d_9535` | `string` | Source dimension. | `7427` |
134
- | `dimension_column_6` | `string` | Source dimension. | `محكمة الاستئناف بالرباط` |
135
- | `dimension_d_77` | `string` | Source dimension. | `277` |
136
- | `dimension_d_134` | `string` | Source dimension. | `1916` |
137
- | `dimension_d_82` | `string` | Source dimension. | `177` |
138
- | `dimension_d_129` | `string` | Source dimension. | `48` |
139
- | `dimension_d_956` | `string` | Source dimension. | `1850` |
140
- | `dimension_d_99` | `string` | Source dimension. | `1020` |
141
- | `dimension_d_16` | `string` | Source dimension. | `73` |
142
- | `dimension_d_23` | `string` | Source dimension. | `32` |
143
- | `dimension_d_1739` | `string` | Source dimension. | `2824` |
144
- | `dimension_d_30` | `string` | Source dimension. | `76` |
145
- | `dimension_d_88` | `string` | Source dimension. | `754` |
146
- | `dimension_d_100` | `string` | Source dimension. | `10` |
147
- | `dimension_d_3473` | `string` | Source dimension. | `9057` |
148
- | `dimension_column_7` | `string` | Source dimension. | `محكمة الاستئناف بالرباط` |
149
- | `dimension_d_460_2` | `string` | Source dimension. | `346` |
150
- | `dimension_d_410` | `string` | Source dimension. | `444` |
151
- | `dimension_d_237` | `string` | Source dimension. | `144` |
152
- | `dimension_d_3766` | `string` | Source dimension. | `2708` |
153
- | `dimension_d_2467` | `string` | Source dimension. | `1924` |
154
- | `dimension_d_30_2` | `string` | Source dimension. | `36` |
155
- | `dimension_d_39` | `string` | Source dimension. | `34` |
156
- | `dimension_d_14901` | `string` | Source dimension. | `8290` |
157
- | `dimension_d_451` | `string` | Source dimension. | `216` |
158
- | `dimension_d_574` | `string` | Source dimension. | `1061` |
159
- | `dimension_d_2787` | `string` | Source dimension. | `2104` |
160
- | `dimension_d_28068` | `string` | Source dimension. | `19042` |
161
- | `dimension_column_8` | `string` | Source dimension. | `محكمة الاستئناف بالرباط` |
162
- | `dimension_d_537` | `string` | Source dimension. | `623` |
163
- | `dimension_d_2080` | `string` | Source dimension. | `3651` |
164
- | `dimension_d_492` | `string` | Source dimension. | `621` |
165
- | `dimension_d_366` | `string` | Source dimension. | `192` |
166
- | `dimension_d_4722` | `string` | Source dimension. | `4558` |
167
- | `dimension_d_2566` | `string` | Source dimension. | `2944` |
168
- | `dimension_d_46` | `string` | Source dimension. | `109` |
169
- | `dimension_d_62` | `string` | Source dimension. | `66` |
170
- | `dimension_d_16640` | `string` | Source dimension. | `11114` |
171
- | `dimension_d_481` | `string` | Source dimension. | `292` |
172
- | `dimension_d_662` | `string` | Source dimension. | `1815` |
173
- | `dimension_d_2887` | `string` | Source dimension. | `2114` |
174
- | `dimension_d_31541` | `string` | Source dimension. | `28099` |
175
- | `dimension_column_9` | `string` | Source dimension. | `محكمة الاستئناف بالرباط` |
176
- | `dimension_d_457` | `string` | Source dimension. | `376` |
177
- | `dimension_d_253` | `string` | Source dimension. | `532` |
178
- | `dimension_d_284` | `string` | Source dimension. | `110` |
179
- | `dimension_d_2732` | `string` | Source dimension. | `2697` |
180
- | `dimension_d_2094` | `string` | Source dimension. | `2054` |
181
- | `dimension_d_22` | `string` | Source dimension. | `58` |
182
- | `dimension_d_28` | `string` | Source dimension. | `44` |
183
- | `dimension_d_14265` | `string` | Source dimension. | `8798` |
184
- | `dimension_d_424` | `string` | Source dimension. | `248` |
185
- | `dimension_d_610` | `string` | Source dimension. | `1162` |
186
- | `dimension_d_2738` | `string` | Source dimension. | `2096` |
187
- | `dimension_d_25862` | `string` | Source dimension. | `20578` |
188
- | `dimension_column_10` | `string` | Source dimension. | `محكمة الاستئناف بالرباط` |
189
- | `dimension_d_80` | `string` | Source dimension. | `247` |
190
- | `dimension_d_125` | `string` | Source dimension. | `1248` |
191
- | `dimension_d_239` | `string` | Source dimension. | `89` |
192
- | `dimension_d_82_2` | `string` | Source dimension. | `82` |
193
- | `dimension_d_472` | `string` | Source dimension. | `890` |
194
- | `dimension_d_24` | `string` | Source dimension. | `51` |
195
- | `dimension_d_34` | `string` | Source dimension. | `22` |
196
- | `dimension_d_2375` | `string` | Source dimension. | `2316` |
197
- | `dimension_d_57` | `string` | Source dimension. | `44` |
198
- | `dimension_d_52` | `string` | Source dimension. | `653` |
199
- | `dimension_d_149` | `string` | Source dimension. | `18` |
200
- | `dimension_d_5679` | `string` | Source dimension. | `7521` |
201
- | `source_provider` | `string` | Publishing organization. | `MJ` |
202
- | `source_dataset` | `string` | Source package title. | `Activité détaillée des Cours d'appel en 2022` |
203
- | `source_resource` | `string` | Source resource title. | `النشاط المفصل لمحاكم الاستئناف.xlsx` |
204
- | `source_package_id` | `string` | CKAN package UUID. | `a71932ce-435a-490a-b3e2-ccaaff028118` |
205
- | `source_resource_id` | `string` | CKAN resource UUID. | `f38c1707-26cb-451f-aa2d-163a5ecf4574` |
206
- | `source_url` | `string` | Original source resource URL. | `https://data.gov.ma/data/ar/dataset/a71932ce-435a-490a-b3e2-ccaaff028118` |
207
- | `license_id` | `string` | Source license identifier. | `odc-odbl` |
208
- | `retrieved_at` | `string` | UTC retrieval timestamp. | `2026-07-16T21:31:48Z` |
209
 
210
  ## Usage
211
 
@@ -217,29 +241,78 @@ df = ds["train"].to_pandas()
217
  print(df.head())
218
  ```
219
 
220
- ### Filter to one country
221
 
222
  ```python
223
- sample_country = df[df["country_iso3"] == "MAR"]
 
224
  ```
225
 
226
- ### Work with indicators
227
 
228
  ```python
229
- if "indicator_id" in df.columns:
230
- print(df["indicator_id"].value_counts().head())
231
- sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
232
  ```
233
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
234
  ## Citation
235
 
236
  ```bibtex
237
  @misc{electric_sheep_africa_africa_morocco_activite_detaillee_des_cours_d_appel_en_2022_b656113c_1990,
238
- title = {Activité détaillée des Cours d'appel en 2022 | Africa (Morocco official open data)},
239
  author = {MJ},
240
  year = {1990},
241
  url = {https://data.gov.ma/data/dataset/activite-detaillee-des-cours-d-appel-en-2022},
242
- publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
243
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-en-2022-b656113c}}
244
  }
245
  ```
@@ -248,20 +321,14 @@ if "indicator_id" in df.columns:
248
 
249
  Released under [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/).
250
 
251
- Original data (c) MJ. When using this dataset, please cite both the
252
- original source above and the Electric Sheep Africa repackaging.
253
-
254
- ## About Electric Sheep
255
 
256
- Electric Sheep Africa is part of the Electric Sheep mission: a unified,
257
- ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
258
- open sources, normalize the schemas, package as Parquet, and publish with
259
- consistent dataset cards so researchers and developers can use `load_dataset()`
260
- to start working in seconds.
261
 
262
- Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
263
 
264
  ---
265
 
266
- Provenance: ingested 2026-07-16 via the Electric Sheep pipeline. Source URL:
267
- https://data.gov.ma/data/ar/dataset/a71932ce-435a-490a-b3e2-ccaaff028118/resource/f38c1707-26cb-451f-aa2d-163a5ecf4574/download/-.xlsx
 
5
  task_categories:
6
  - tabular-regression
7
  - time-series-forecasting
8
+ multilinguality: multilingual
9
  size_categories:
10
  - n<1K
11
  tags:
12
+ - "tabular"
13
+ - "africa"
14
+ - "open-data"
15
+ - "official-statistics"
16
+ - "morocco"
17
+ - "mj"
18
+ - "morocco-open-data"
19
+ - "justice"
20
+ - "cours-appel"
21
+ - "tribunaux"
22
+ configs:
23
+ - config_name: default
24
+ data_files:
25
+ - split: train
26
+ path: data/train-00000-of-00001.parquet
27
+ pretty_name: "Activite Detaillee Des Cours D Appel En 2022 | Africa (Morocco Open Data)"
28
  ---
29
 
30
+ # Activite Detaillee Des Cours D Appel En 2022 | Africa (Morocco Open Data)
31
 
32
+ **88 rows** - **1 Africa country/area** - **1946-1990** - **1 indicator** - *Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)*
33
 
34
  ![rows](https://img.shields.io/badge/rows-88-blue)
35
  ![countries](https://img.shields.io/badge/countries-1-green)
36
+ ![period](https://img.shields.io/badge/period-1946--1990-orange)
37
+ ![indicators](https://img.shields.io/badge/indicators-1-purple)
38
  ![license](https://img.shields.io/badge/license-odbl-lightgrey)
39
 
40
  ## TL;DR
41
 
42
+ This dataset contains **88 rows** from **Morocco Open Data**, covering **Activite Detaillee Des Cours D Appel En 2022**. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.
 
 
43
 
44
+ ## What This Dataset Measures
45
 
46
+ Official statistics datasets help analysts inspect public data as published by governments, national statistical systems, and regional data portals.
47
+
48
+ Source-provided context: Ce fichier présente l'activité détaillée des Cours d'appel en 2022
49
+
50
+ ## How To Read This Dataset
51
+
52
+ - **One row means:** one indicator observation for one geography, time period, and optional source dimensions.
53
+ - **Primary geography column:** `country_iso3`.
54
+ - **Best time column:** `year`.
55
+ - **Time coverage basis:** year.
56
+ - **Recommended join keys:** `country_iso3`, `year`, `indicator_id`.
57
+
58
+ ## Coverage
59
+
60
+ | Dimension | Value |
61
+ |---|---:|
62
+ | Rows | 88 |
63
+ | Countries/areas | 1 |
64
+ | First period | 1946 |
65
+ | Last period | 1990 |
66
+ | Indicators | 1 |
67
+ | Columns | 147 |
68
+ | Source format | XLSX |
69
 
70
+ ## Geographic Coverage
71
 
72
+ Top areas shown below, sorted by row count when available:
73
 
74
+ | Area | Rows | First year | Last year | Name |
75
+ |------|-----:|-----------:|----------:|------|
76
+ | `<NA>` | 88 | 1946 | 1990 | `Morocco` |
77
 
78
+ ## Indicators, Variables, Or Resource Contents
79
 
80
+ - `source-indicator` - Activite Detaillee Des Cours D Appel En 2022(source_units_unspecified)
81
 
82
  ## Schema
83
 
84
  | Column | Type | Description | Example |
85
  |--------|------|-------------|---------|
86
+ | `indicator_id` | `string` | Stable source or Electric Sheep Africa indicator identifier. | `` |
87
  | `indicator_name` | `string` | Human-readable indicator name. | `` |
88
+ | `country_iso3` | `string` | ISO3 country or area code. | `` |
89
+ | `source_sheet` | `string` | Source column from the original resource. | `الاستئناف بتفصيل2022` |
90
+ | `country_name` | `string` | Country or area name. | `` |
91
+ | `year` | `int64` | Observation year. | `1952` |
92
+ | `value` | `double` | Numeric observation value. | `316.0` |
93
+ | `unit` | `string` | Measurement unit, when supplied by the source. | `source_units_unspecified` |
94
+ | `dimension_column` | `string` | Source dimension retained during long-form normalization. | `محكمة الاستئناف بالرباط` |
95
+ | `dimension_d_349` | `string` | Source dimension retained during long-form normalization. | `302` |
96
+ | `dimension_d_2125` | `string` | Source dimension retained during long-form normalization. | `3147` |
97
+ | `dimension_d_342` | `string` | Source dimension retained during long-form normalization. | `314` |
98
+ | `dimension_d_373` | `string` | Source dimension retained during long-form normalization. | `1136` |
99
+ | `dimension_d_429` | `string` | Source dimension retained during long-form normalization. | `278` |
100
+ | `dimension_d_3` | `string` | Source dimension retained during long-form normalization. | `55` |
101
+ | `dimension_d_980` | `string` | Source dimension retained during long-form normalization. | `2441` |
102
+ | `dimension_d_1448` | `string` | Source dimension retained during long-form normalization. | `882` |
103
+ | `dimension_d_64` | `string` | Source dimension retained during long-form normalization. | `2` |
104
+ | `dimension_d_838` | `string` | Source dimension retained during long-form normalization. | `2682` |
105
+ | `dimension_d_0` | `string` | Source dimension retained during long-form normalization. | `0` |
106
+ | `dimension_d_6951` | `string` | Source dimension retained during long-form normalization. | `11239` |
107
+ | `dimension_column_2` | `string` | Source dimension retained during long-form normalization. | `محكمة الاستئناف بالرباط` |
108
+ | `dimension_d_2220` | `string` | Source dimension retained during long-form normalization. | `972` |
109
+ | `dimension_d_7536` | `string` | Source dimension retained during long-form normalization. | `2227` |
110
+ | `dimension_d_500` | `string` | Source dimension retained during long-form normalization. | `181` |
111
+ | `dimension_d_567` | `string` | Source dimension retained during long-form normalization. | `743` |
112
+ | `dimension_d_2050` | `string` | Source dimension retained during long-form normalization. | `259` |
113
+ | `dimension_d_145` | `string` | Source dimension retained during long-form normalization. | `193` |
114
+ | `dimension_d_2596` | `string` | Source dimension retained during long-form normalization. | `1405` |
115
+ | `dimension_d_9873` | `string` | Source dimension retained during long-form normalization. | `1543` |
116
+ | `dimension_d_198` | `string` | Source dimension retained during long-form normalization. | `0` |
117
+ | `dimension_d_2884` | `string` | Source dimension retained during long-form normalization. | `1782` |
118
+ | `dimension_d_0_2` | `string` | Source dimension retained during long-form normalization. | `0` |
119
+ | `dimension_d_28569` | `string` | Source dimension retained during long-form normalization. | `9305` |
120
+ | `dimension_column_3` | `string` | Source dimension retained during long-form normalization. | `محكمة الاستئناف بالرباط` |
121
+ | `dimension_d_2569` | `string` | Source dimension retained during long-form normalization. | `1274` |
122
+ | `dimension_d_9661` | `string` | Source dimension retained during long-form normalization. | `5374` |
123
+ | `dimension_d_842` | `string` | Source dimension retained during long-form normalization. | `495` |
124
+ | `dimension_d_940` | `string` | Source dimension retained during long-form normalization. | `1879` |
125
+ | `dimension_d_2479` | `string` | Source dimension retained during long-form normalization. | `537` |
126
+ | `dimension_d_148` | `string` | Source dimension retained during long-form normalization. | `248` |
127
+ | `dimension_d_3576` | `string` | Source dimension retained during long-form normalization. | `3846` |
128
+ | `dimension_d_11321` | `string` | Source dimension retained during long-form normalization. | `2425` |
129
+ | `dimension_d_262` | `string` | Source dimension retained during long-form normalization. | `2` |
130
+ | `dimension_d_3722` | `string` | Source dimension retained during long-form normalization. | `4464` |
131
+ | `dimension_d_0_3` | `string` | Source dimension retained during long-form normalization. | `0` |
132
+ | `dimension_d_35520` | `string` | Source dimension retained during long-form normalization. | `20544` |
133
+ | `dimension_column_4` | `string` | Source dimension retained during long-form normalization. | `محكمة الاستئناف بالرباط` |
134
+ | `dimension_d_2410` | `string` | Source dimension retained during long-form normalization. | `996` |
135
+ | `dimension_d_6997` | `string` | Source dimension retained during long-form normalization. | `3081` |
136
+ | `dimension_d_494` | `string` | Source dimension retained during long-form normalization. | `297` |
137
+ | `dimension_d_460` | `string` | Source dimension retained during long-form normalization. | `1154` |
138
+ | `dimension_d_145_2` | `string` | Source dimension retained during long-form normalization. | `243` |
139
+ | `dimension_d_2743` | `string` | Source dimension retained during long-form normalization. | `2344` |
140
+ | `dimension_d_7925` | `string` | Source dimension retained during long-form normalization. | `1805` |
141
+ | `dimension_d_193` | `string` | Source dimension retained during long-form normalization. | `1` |
142
+ | `dimension_d_2666` | `string` | Source dimension retained during long-form normalization. | `2880` |
143
+ | `dimension_d_0_4` | `string` | Source dimension retained during long-form normalization. | `0` |
144
+ | `dimension_d_25985` | `string` | Source dimension retained during long-form normalization. | `13117` |
145
+ | `dimension_column_5` | `string` | Source dimension retained during long-form normalization. | `محكمة الاستئناف بالرباط` |
146
+ | `dimension_d_159` | `string` | Source dimension retained during long-form normalization. | `278` |
147
+ | `dimension_d_2664` | `string` | Source dimension retained during long-form normalization. | `2293` |
148
+ | `dimension_d_348` | `string` | Source dimension retained during long-form normalization. | `198` |
149
+ | `dimension_d_480` | `string` | Source dimension retained during long-form normalization. | `725` |
150
+ | `dimension_d_527` | `string` | Source dimension retained during long-form normalization. | `221` |
151
+ | `dimension_d_3_2` | `string` | Source dimension retained during long-form normalization. | `5` |
152
+ | `dimension_d_833` | `string` | Source dimension retained during long-form normalization. | `1502` |
153
+ | `dimension_d_3396` | `string` | Source dimension retained during long-form normalization. | `620` |
154
+ | `dimension_d_69` | `string` | Source dimension retained during long-form normalization. | `1` |
155
+ | `dimension_d_1056` | `string` | Source dimension retained during long-form normalization. | `1584` |
156
+ | `dimension_d_0_5` | `string` | Source dimension retained during long-form normalization. | `0` |
157
+ | `dimension_d_9535` | `string` | Source dimension retained during long-form normalization. | `7427` |
158
+ | `dimension_column_6` | `string` | Source dimension retained during long-form normalization. | `محكمة الاستئناف بالرباط` |
159
+ | `dimension_d_77` | `string` | Source dimension retained during long-form normalization. | `277` |
160
+ | `dimension_d_134` | `string` | Source dimension retained during long-form normalization. | `1916` |
161
+ | `dimension_d_82` | `string` | Source dimension retained during long-form normalization. | `177` |
162
+ | `dimension_d_129` | `string` | Source dimension retained during long-form normalization. | `48` |
163
+ | `dimension_d_956` | `string` | Source dimension retained during long-form normalization. | `1850` |
164
+ | `dimension_d_99` | `string` | Source dimension retained during long-form normalization. | `1020` |
165
+ | `dimension_d_16` | `string` | Source dimension retained during long-form normalization. | `73` |
166
+ | `dimension_d_23` | `string` | Source dimension retained during long-form normalization. | `` |
167
+ | `dimension_d_1739` | `string` | Source dimension retained during long-form normalization. | `` |
168
+ | `dimension_d_30` | `string` | Source dimension retained during long-form normalization. | `` |
169
+ | `dimension_d_88` | `string` | Source dimension retained during long-form normalization. | `` |
170
+ | `dimension_d_100` | `string` | Source dimension retained during long-form normalization. | `` |
171
+ | `dimension_d_3473` | `string` | Source dimension retained during long-form normalization. | `` |
172
+ | `dimension_column_7` | `string` | Source dimension retained during long-form normalization. | `` |
173
+ | `dimension_d_460_2` | `string` | Source dimension retained during long-form normalization. | `` |
174
+ | `dimension_d_410` | `string` | Source dimension retained during long-form normalization. | `` |
175
+ | `dimension_d_237` | `string` | Source dimension retained during long-form normalization. | `` |
176
+ | `dimension_d_3766` | `string` | Source dimension retained during long-form normalization. | `` |
177
+ | `dimension_d_2467` | `string` | Source dimension retained during long-form normalization. | `` |
178
+ | `dimension_d_30_2` | `string` | Source dimension retained during long-form normalization. | `` |
179
+ | `dimension_d_39` | `string` | Source dimension retained during long-form normalization. | `` |
180
+ | `dimension_d_14901` | `string` | Source dimension retained during long-form normalization. | `` |
181
+ | `dimension_d_451` | `string` | Source dimension retained during long-form normalization. | `` |
182
+ | `dimension_d_574` | `string` | Source dimension retained during long-form normalization. | `` |
183
+ | `dimension_d_2787` | `string` | Source dimension retained during long-form normalization. | `` |
184
+ | `dimension_d_28068` | `string` | Source dimension retained during long-form normalization. | `` |
185
+ | `dimension_column_8` | `string` | Source dimension retained during long-form normalization. | `` |
186
+ | `dimension_d_537` | `string` | Source dimension retained during long-form normalization. | `` |
187
+ | `dimension_d_2080` | `string` | Source dimension retained during long-form normalization. | `` |
188
+ | `dimension_d_492` | `string` | Source dimension retained during long-form normalization. | `` |
189
+ | `dimension_d_366` | `string` | Source dimension retained during long-form normalization. | `` |
190
+ | `dimension_d_4722` | `string` | Source dimension retained during long-form normalization. | `` |
191
+ | `dimension_d_2566` | `string` | Source dimension retained during long-form normalization. | `` |
192
+ | `dimension_d_46` | `string` | Source dimension retained during long-form normalization. | `` |
193
+ | `dimension_d_62` | `string` | Source dimension retained during long-form normalization. | `` |
194
+ | `dimension_d_16640` | `string` | Source dimension retained during long-form normalization. | `` |
195
+ | `dimension_d_481` | `string` | Source dimension retained during long-form normalization. | `` |
196
+ | `dimension_d_662` | `string` | Source dimension retained during long-form normalization. | `` |
197
+ | `dimension_d_2887` | `string` | Source dimension retained during long-form normalization. | `` |
198
+ | `dimension_d_31541` | `string` | Source dimension retained during long-form normalization. | `` |
199
+ | `dimension_column_9` | `string` | Source dimension retained during long-form normalization. | `` |
200
+ | `dimension_d_457` | `string` | Source dimension retained during long-form normalization. | `` |
201
+ | `dimension_d_253` | `string` | Source dimension retained during long-form normalization. | `` |
202
+ | `dimension_d_284` | `string` | Source dimension retained during long-form normalization. | `` |
203
+ | `dimension_d_2732` | `string` | Source dimension retained during long-form normalization. | `` |
204
+ | `dimension_d_2094` | `string` | Source dimension retained during long-form normalization. | `` |
205
+ | `dimension_d_22` | `string` | Source dimension retained during long-form normalization. | `` |
206
+ | `dimension_d_28` | `string` | Source dimension retained during long-form normalization. | `` |
207
+ | `dimension_d_14265` | `string` | Source dimension retained during long-form normalization. | `` |
208
+ | `dimension_d_424` | `string` | Source dimension retained during long-form normalization. | `` |
209
+ | `dimension_d_610` | `string` | Source dimension retained during long-form normalization. | `` |
210
+ | `dimension_d_2738` | `string` | Source dimension retained during long-form normalization. | `` |
211
+ | `dimension_d_25862` | `string` | Source dimension retained during long-form normalization. | `` |
212
+ | `dimension_column_10` | `string` | Source dimension retained during long-form normalization. | `` |
213
+ | `dimension_d_80` | `string` | Source dimension retained during long-form normalization. | `` |
214
+ | `dimension_d_125` | `string` | Source dimension retained during long-form normalization. | `` |
215
+ | `dimension_d_239` | `string` | Source dimension retained during long-form normalization. | `` |
216
+ | `dimension_d_82_2` | `string` | Source dimension retained during long-form normalization. | `` |
217
+ | `dimension_d_472` | `string` | Source dimension retained during long-form normalization. | `` |
218
+ | `dimension_d_24` | `string` | Source dimension retained during long-form normalization. | `` |
219
+ | `dimension_d_34` | `string` | Source dimension retained during long-form normalization. | `` |
220
+ | `dimension_d_2375` | `string` | Source dimension retained during long-form normalization. | `` |
221
+ | `dimension_d_57` | `string` | Source dimension retained during long-form normalization. | `` |
222
+ | `dimension_d_52` | `string` | Source dimension retained during long-form normalization. | `` |
223
+ | `dimension_d_149` | `string` | Source dimension retained during long-form normalization. | `` |
224
+ | `dimension_d_5679` | `string` | Source dimension retained during long-form normalization. | `` |
225
+ | `source_provider` | `string` | Publishing organization. | `` |
226
+ | `source_dataset` | `string` | Source dataset or package title. | `` |
227
+ | `source_resource` | `string` | Source resource title, table name, or file name. | `` |
228
+ | `source_package_id` | `string` | Source package identifier. | `` |
229
+ | `source_resource_id` | `string` | Source resource identifier. | `` |
230
+ | `source_url` | `string` | Original source URL or download URL. | `` |
231
+ | `license_id` | `string` | Source license identifier. | `` |
232
+ | `retrieved_at` | `string` | UTC source retrieval timestamp from the Electric Sheep Africa pipeline. | `` |
233
 
234
  ## Usage
235
 
 
241
  print(df.head())
242
  ```
243
 
244
+ ### Inspect Columns
245
 
246
  ```python
247
+ print(df.info())
248
+ print(df.head())
249
  ```
250
 
251
+ ### Filter By Geography
252
 
253
  ```python
254
+ if "country_iso3" in df.columns:
255
+ sample = df[df["country_iso3"] == "MAR"]
 
256
  ```
257
 
258
+ ### Time-Series Pattern
259
+
260
+ ```python
261
+ if "value" in df.columns and "year" in df.columns:
262
+ trend = df.sort_values("year")
263
+ ```
264
+
265
+ ### Pivot For Analysis
266
+
267
+ ```python
268
+ if {"indicator_id", "year", "value"}.issubset(df.columns):
269
+ matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
270
+ print(matrix.tail())
271
+ ```
272
+
273
+ ## Data Quality Notes
274
+
275
+ - Canonical time field: `year`.
276
+ - Missing values are preserved rather than silently imputed.
277
+ - Column names are standardized for machine use; source meanings are preserved where known.
278
+ - Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.
279
+
280
+ ## Source And Provenance
281
+
282
+ - **Source:** [Morocco Open Data](https://data.gov.ma/data/dataset/activite-detaillee-des-cours-d-appel-en-2022)
283
+ - **Publisher:** MJ
284
+ - **Portal:** [https://data.gov.ma/data](https://data.gov.ma/data)
285
+ - **Resource:** [النشاط المفصل لمحاكم الاستئناف.xlsx](https://data.gov.ma/data/ar/dataset/a71932ce-435a-490a-b3e2-ccaaff028118/resource/f38c1707-26cb-451f-aa2d-163a5ecf4574/download/-.xlsx)
286
+ - **License:** [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/)
287
+ - **Retrieved/generated:** `2026-07-16T22:10:19Z`
288
+ - **Hugging Face repo:** [electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-en-2022-b656113c](https://huggingface.co/datasets/electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-en-2022-b656113c)
289
+
290
+ ## Transformations Applied
291
+
292
+ - Converted the source table to Parquet for efficient analytics and ML workflows.
293
+ - Added or preserved source provenance columns where available.
294
+ - Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
295
+ - Preserved source-reported values without analytical imputation.
296
+
297
+ ## Suggested Analyses
298
+
299
+ - Profile the distribution of values
300
+ - Compare categories or geographies
301
+ - Join with complementary public datasets
302
+ - Build time-series views and period-over-period comparisons
303
+ - Pivot to geography x period or indicator x period matrices
304
+ - Check missingness before modeling
305
+ - Use `country_iso3` as the safest geography join key when present
306
+
307
  ## Citation
308
 
309
  ```bibtex
310
  @misc{electric_sheep_africa_africa_morocco_activite_detaillee_des_cours_d_appel_en_2022_b656113c_1990,
311
+ title = {Activite Detaillee Des Cours D Appel En 2022 | Africa (Morocco Open Data)},
312
  author = {MJ},
313
  year = {1990},
314
  url = {https://data.gov.ma/data/dataset/activite-detaillee-des-cours-d-appel-en-2022},
315
+ publisher = {Hugging Face Datasets, engineered by Electric Sheep Africa},
316
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-morocco-activite-detaillee-des-cours-d-appel-en-2022-b656113c}}
317
  }
318
  ```
 
321
 
322
  Released under [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/).
323
 
324
+ Original data is published by MJ. Electric Sheep Africa
325
+ engineering standardizes the data for discovery, loading, and analysis on
326
+ Hugging Face. Cite both the original source and this ML-ready dataset when used.
 
327
 
328
+ ## About Electric Sheep Africa
 
 
 
 
329
 
330
+ Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.
331
 
332
  ---
333
 
334
+ Provenance: README standardized 2026-08-11 by the Electric Sheep Africa README system. Source URL: https://data.gov.ma/data/dataset/activite-detaillee-des-cours-d-appel-en-2022