Datasets:
customer_id
stringlengths 8
8
| department
stringclasses 196
values | consumption_style
stringclasses 5
values | locality
stringclasses 679
values | province
stringclasses 23
values | monthly_fee_usd
float64 5
20
|
|---|---|---|---|---|---|
SLX83969
|
department_cat_153
|
heavy-user
|
locality_cat_163
|
Misiones
| 9.12
|
UTT27594
|
department_cat_1
|
occasional
|
locality_cat_268
|
Tucumán
| 10.15
|
HER11355
|
department_cat_1
|
occasional
|
locality_cat_102
|
Buenos Aires
| 18.93
|
ZRQ19908
|
department_cat_142
|
weekend-viewer
|
locality_cat_29
|
Santiago del Estero
| 7.36
|
EAT08840
|
department_cat_142
|
occasional
|
locality_cat_90
|
Córdoba
| 7.56
|
KYJ36841
|
department_cat_1
|
occasional
|
locality_cat_1
|
Santiago del Estero
| 8.31
|
FWX15967
|
department_cat_120
|
occasional
|
locality_cat_335
|
Santa Fe
| 8.07
|
YFL75558
|
department_cat_131
|
weekend-viewer
|
locality_cat_630
|
Buenos Aires
| 9.77
|
SYQ06673
|
department_cat_1
|
occasional
|
locality_cat_658
|
Córdoba
| 11.06
|
ULR53254
|
department_cat_112
|
weekend-viewer
|
locality_cat_445
|
Córdoba
| 11.55
|
BVL44253
|
department_cat_120
|
occasional
|
locality_cat_1
|
Buenos Aires
| 5.1
|
UQL42536
|
department_cat_1
|
occasional
|
locality_cat_445
|
Buenos Aires
| 7.16
|
LPH32057
|
department_cat_142
|
occasional
|
locality_cat_15
|
Córdoba
| 11.09
|
NJG43060
|
department_cat_1
|
weekend-viewer
|
locality_cat_667
|
Buenos Aires
| 6.77
|
FYI89056
|
department_cat_57
|
occasional
|
locality_cat_135
|
Buenos Aires
| 10.74
|
TGU54813
|
department_cat_109
|
occasional
|
locality_cat_1
|
Buenos Aires
| 9.39
|
QVZ12279
|
department_cat_110
|
occasional
|
locality_cat_23
|
Córdoba
| 11.05
|
KQG00897
|
department_cat_1
|
weekend-viewer
|
locality_cat_24
|
Buenos Aires
| 8.14
|
FDC92007
|
department_cat_1
|
occasional
|
locality_cat_556
|
Córdoba
| 14.1
|
IEV53432
|
department_cat_109
|
occasional
|
locality_cat_223
|
Mendoza
| 9.91
|
WMF55079
|
department_cat_1
|
occasional
|
locality_cat_589
|
Córdoba
| 8.59
|
LSN05898
|
department_cat_1
|
occasional
|
locality_cat_103
|
Buenos Aires
| 10.55
|
JJX83308
|
department_cat_142
|
casual
|
locality_cat_57
|
Chaco
| 8.55
|
NPG28360
|
department_cat_109
|
casual
|
locality_cat_645
|
Buenos Aires
| 14.25
|
LWJ41058
|
department_cat_1
|
occasional
|
locality_cat_1
|
Córdoba
| 10.91
|
MMQ14097
|
department_cat_1
|
casual
|
locality_cat_224
|
Córdoba
| 8.74
|
XIQ65801
|
department_cat_1
|
occasional
|
locality_cat_654
|
Córdoba
| 7.03
|
RIE90272
|
department_cat_109
|
casual
|
locality_cat_678
|
Buenos Aires
| 7.42
|
JPL63793
|
department_cat_164
|
occasional
|
locality_cat_13
|
Mendoza
| 8.98
|
SBL96047
|
department_cat_1
|
occasional
|
locality_cat_112
|
Corrientes
| 8.5
|
YZL67303
|
department_cat_1
|
occasional
|
locality_cat_1
|
Buenos Aires
| 9.19
|
QJQ91079
|
department_cat_1
|
casual
|
locality_cat_14
|
Buenos Aires
| 10.32
|
AIO31525
|
department_cat_142
|
occasional
|
locality_cat_8
|
Buenos Aires
| 8.68
|
CYV66335
|
department_cat_1
|
occasional
|
locality_cat_1
|
Córdoba
| 9.64
|
HAM36066
|
department_cat_1
|
casual
|
locality_cat_57
|
Córdoba
| 7.7
|
IYI88199
|
department_cat_1
|
weekend-viewer
|
locality_cat_445
|
Buenos Aires
| 12.08
|
REI72685
|
department_cat_109
|
occasional
|
locality_cat_334
|
Buenos Aires
| 10.51
|
YDT32038
|
department_cat_1
|
casual
|
locality_cat_445
|
Buenos Aires
| 8.26
|
RSE17915
|
department_cat_13
|
casual
|
locality_cat_25
|
Salta
| 8.52
|
SZY94877
|
department_cat_109
|
occasional
|
locality_cat_334
|
Buenos Aires
| 8.76
|
QQH57335
|
department_cat_1
|
occasional
|
locality_cat_112
|
San Juan
| 10.19
|
LBG42803
|
department_cat_109
|
occasional
|
locality_cat_24
|
Buenos Aires
| 8.09
|
YLW93736
|
department_cat_24
|
occasional
|
locality_cat_223
|
Córdoba
| 11.24
|
PUA40448
|
department_cat_158
|
occasional
|
locality_cat_556
|
Neuquén
| 12.09
|
ZUL37788
|
department_cat_1
|
occasional
|
locality_cat_46
|
Córdoba
| 8.43
|
YCG05067
|
department_cat_1
|
binge-watcher
|
locality_cat_7
|
Córdoba
| 7.53
|
LOT91986
|
department_cat_46
|
occasional
|
locality_cat_112
|
Córdoba
| 8.26
|
UTK59451
|
department_cat_109
|
occasional
|
locality_cat_390
|
Córdoba
| 7.24
|
DOZ03972
|
department_cat_109
|
weekend-viewer
|
locality_cat_445
|
Buenos Aires
| 7.47
|
CLE00583
|
department_cat_1
|
occasional
|
locality_cat_34
|
Buenos Aires
| 9.61
|
AXI01623
|
department_cat_1
|
occasional
|
locality_cat_368
|
Córdoba
| 11.13
|
QBF53256
|
department_cat_128
|
occasional
|
locality_cat_2
|
Buenos Aires
| 7.42
|
QWP63580
|
department_cat_1
|
casual
|
locality_cat_334
|
Córdoba
| 7.11
|
KNK85635
|
department_cat_120
|
occasional
|
locality_cat_112
|
Buenos Aires
| 7.35
|
ZJF12832
|
department_cat_46
|
casual
|
locality_cat_2
|
Córdoba
| 5.1
|
QKA99390
|
department_cat_188
|
casual
|
locality_cat_645
|
Córdoba
| 11.73
|
EHS45445
|
department_cat_1
|
occasional
|
locality_cat_13
|
Buenos Aires
| 8.22
|
MKZ46008
|
department_cat_24
|
occasional
|
locality_cat_653
|
Buenos Aires
| 7.99
|
LET59307
|
department_cat_109
|
occasional
|
locality_cat_445
|
Buenos Aires
| 10.24
|
TVN82783
|
department_cat_1
|
weekend-viewer
|
locality_cat_334
|
Buenos Aires
| 10.38
|
YYS04882
|
department_cat_68
|
weekend-viewer
|
locality_cat_301
|
Buenos Aires
| 7.64
|
DIE91375
|
department_cat_1
|
occasional
|
locality_cat_223
|
Buenos Aires
| 10.18
|
GAG26035
|
department_cat_120
|
occasional
|
locality_cat_212
|
Buenos Aires
| 8.3
|
SND85365
|
department_cat_90
|
weekend-viewer
|
locality_cat_190
|
Corrientes
| 9.48
|
UKK29832
|
department_cat_131
|
casual
|
locality_cat_445
|
Córdoba
| 10.23
|
DRX95540
|
department_cat_46
|
occasional
|
locality_cat_479
|
Córdoba
| 7.66
|
XFJ27123
|
department_cat_1
|
weekend-viewer
|
locality_cat_112
|
Buenos Aires
| 10.16
|
YRR64967
|
department_cat_1
|
casual
|
locality_cat_14
|
Buenos Aires
| 11.36
|
QKN77130
|
department_cat_109
|
occasional
|
locality_cat_445
|
Buenos Aires
| 6.67
|
YMP33603
|
department_cat_175
|
occasional
|
locality_cat_51
|
Buenos Aires
| 11.35
|
TYS05584
|
department_cat_153
|
casual
|
locality_cat_2
|
Buenos Aires
| 10.93
|
PRY91645
|
department_cat_109
|
occasional
|
locality_cat_101
|
Buenos Aires
| 9.97
|
GCJ95363
|
department_cat_109
|
weekend-viewer
|
locality_cat_1
|
Buenos Aires
| 9.14
|
VSC10416
|
department_cat_120
|
occasional
|
locality_cat_1
|
Buenos Aires
| 8.54
|
IEW36027
|
department_cat_109
|
occasional
|
locality_cat_445
|
Córdoba
| 8.43
|
ZIR84608
|
department_cat_109
|
weekend-viewer
|
locality_cat_223
|
Buenos Aires
| 9.45
|
QUY87956
|
department_cat_109
|
weekend-viewer
|
locality_cat_223
|
Buenos Aires
| 9.61
|
UQZ83677
|
department_cat_18
|
occasional
|
locality_cat_2
|
Córdoba
| 8.89
|
BKT47476
|
department_cat_79
|
occasional
|
locality_cat_112
|
Buenos Aires
| 8.81
|
VSV88678
|
department_cat_109
|
occasional
|
locality_cat_390
|
Córdoba
| 8.91
|
FXW71877
|
department_cat_1
|
occasional
|
locality_cat_616
|
Santiago del Estero
| 7.85
|
TXA76772
|
department_cat_1
|
casual
|
locality_cat_1
|
Córdoba
| 13.21
|
OZV83155
|
department_cat_109
|
binge-watcher
|
locality_cat_201
|
Buenos Aires
| 9.14
|
TKG08174
|
department_cat_131
|
occasional
|
locality_cat_334
|
Córdoba
| 7.22
|
QJW30872
|
department_cat_120
|
weekend-viewer
|
locality_cat_137
|
Córdoba
| 7.6
|
VEP03424
|
department_cat_109
|
occasional
|
locality_cat_334
|
Córdoba
| 8.74
|
FYU15387
|
department_cat_57
|
casual
|
locality_cat_661
|
Córdoba
| 7.91
|
AOX27134
|
department_cat_164
|
occasional
|
locality_cat_212
|
Córdoba
| 9.94
|
SWN47629
|
department_cat_112
|
occasional
|
locality_cat_201
|
Buenos Aires
| 9.41
|
AXL02591
|
department_cat_109
|
binge-watcher
|
locality_cat_346
|
Buenos Aires
| 7.34
|
XFQ19616
|
department_cat_1
|
occasional
|
locality_cat_112
|
Buenos Aires
| 9.67
|
ZJV28549
|
department_cat_1
|
weekend-viewer
|
locality_cat_556
|
Santa Fe
| 9.58
|
LFC46150
|
department_cat_130
|
binge-watcher
|
locality_cat_676
|
Córdoba
| 8.67
|
KAC40761
|
department_cat_109
|
occasional
|
locality_cat_113
|
Buenos Aires
| 8.84
|
ZZG33448
|
department_cat_1
|
occasional
|
locality_cat_334
|
Tucumán
| 10.14
|
XIS42858
|
department_cat_109
|
occasional
|
locality_cat_117
|
Tucumán
| 8.22
|
LOJ99938
|
department_cat_109
|
occasional
|
locality_cat_446
|
Buenos Aires
| 10.91
|
AYR96718
|
department_cat_114
|
occasional
|
locality_cat_568
|
Buenos Aires
| 11.58
|
XQS73547
|
department_cat_1
|
occasional
|
locality_cat_2
|
Córdoba
| 8.82
|
ZWT66958
|
department_cat_109
|
weekend-viewer
|
locality_cat_101
|
Córdoba
| 9.68
|
📦 CUSTOMER PROFILE
Este dataset fue generado completamente de manera sintética, empleando:
- Modelos estadísticos en Python
- Algoritmos probabilísticos personalizados
- Modelos de inteligencia artificial para añadir variabilidad y comportamientos realistas
No contiene datos personales ni información proveniente de individuos reales. Su propósito es estrictamente educativo, académico, experimental y de investigación.
📝 Dataset Summary
Este dataset contiene datos sintéticos diseñados para simular interacciones ficticias de usuarios. Está optimizado para prácticas de análisis de datos, experimentación en ciencia de datos y prototipos de machine learning. No debe utilizarse para aplicaciones comerciales ni para la creación de perfiles reales.
📊 Estructura del Dataset
El dataset incluye las siguientes columnas:
| Columna | Tipo | Descripción |
|---|---|---|
customer_id |
string | Identificador único del cliente. |
department |
string | Subdivisión de las provincias. |
consumption_style |
categorical | Estilos de hábito de consumo. (occasional, casual, weekend-viewer, binge-watcher, heavy-user.) |
locality |
string | Unidad territorial más pequeña. |
province |
string | Unidad administrativa principal del país. |
monthly_fee_usd |
float | Cuota mensual actual del plan en USD. |
Obs: Las columnas numéricas si tienen un valor - significa el número 0.
📂 Formato de los Archivos
El dataset se encuentra formato CSV.
📥 Cómo Cargar el Dataset desde Hugging Face
🔹 Opción 1:
- Usando
datasets.load_dataset:
from datasets import load_dataset
ds = load_dataset("hpestrellag/customer_profile")
ds
- Convertir a Pandas:
import pandas as pd
df = ds["train"].to_pandas()
df.head()
🔹 Opción 2:
Leer el CSV directamente desde Hugging Face Hub
import pandas as pd
df = pd.read_csv("hf://datasets/hpestrellag/customer_profile/customer_profile.csv")
df.head()
🔐 Licencia
Este dataset se publica bajo la licencia:
Creative Commons Atribución-NoComercial 4.0 (CC BY-NC 4.0)
Permisos y restricciones:
✔️ Permitido:
- Uso académico
- Investigación
- Prototipos no comerciales
- Uso personal o educativo
❌ No permitido:
- Uso comercial
- Integración en productos de pago
- Proyectos que generen ingresos directos o indirectos
🔗 Licencia completa: https://creativecommons.org/licenses/by-nc/4.0/
📚 Cómo Citar Este Dataset
@misc{estrella2025_customer_profile,
title = {customer\_profile},
author = {{Pavel Estrella G.}},
year = {2025},
publisher = {Hugging Face Datasets},
howpublished = {\url{https://huggingface.co/datasets/hpestrellag/customer_profile}},
note = {Dataset sintético generado para investigación. Licencia CC BY-NC 4.0.}
}
⚠️ Notas Sobre Datos Sintéticos
- No representan individuos reales.
- No fueron obtenidos de personas, empresas o fuentes externas.
- No contienen información sensible.
- Se generaron enteramente mediante métodos estadísticos y modelos de IA.
- No deben utilizarse para tareas que requieran datos reales (marketing, segmentación real, perfiles reales).
👤 Autor
PAVEL ESTRELLA G.
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