customerID gender SeniorCitizen Partner Dependents
0002-ORFBO: 1 Female:3488 Min. :0.0000 No :3641 No :4933
0003-MKNFE: 1 Male :3555 1st Qu.:0.0000 Yes:3402 Yes:2110
0004-TLHLJ: 1 Median :0.0000
0011-IGKFF: 1 Mean :0.1621
0013-EXCHZ: 1 3rd Qu.:0.0000
0013-MHZWF: 1 Max. :1.0000
(Other) :7037
tenure PhoneService MultipleLines InternetService
Min. : 0.00 No : 682 No :3390 DSL :2421
1st Qu.: 9.00 Yes:6361 No phone service: 682 Fiber optic:3096
Median :29.00 Yes :2971 No :1526
Mean :32.37
3rd Qu.:55.00
Max. :72.00
OnlineSecurity OnlineBackup
No :3498 No :3088
No internet service:1526 No internet service:1526
Yes :2019 Yes :2429
DeviceProtection TechSupport
No :3095 No :3473
No internet service:1526 No internet service:1526
Yes :2422 Yes :2044
StreamingTV StreamingMovies Contract
No :2810 No :2785 Month-to-month:3875
No internet service:1526 No internet service:1526 One year :1473
Yes :2707 Yes :2732 Two year :1695
PaperlessBilling PaymentMethod MonthlyCharges
No :2872 Bank transfer (automatic):1544 Min. : 18.25
Yes:4171 Credit card (automatic) :1522 1st Qu.: 35.50
Electronic check :2365 Median : 70.35
Mailed check :1612 Mean : 64.76
3rd Qu.: 89.85
Max. :118.75
TotalCharges Churn
Min. : 18.8 No :5174
1st Qu.: 401.4 Yes:1869
Median :1397.5
Mean :2283.3
3rd Qu.:3794.7
Max. :8684.8
NA's :11
Este conjunto presenta información de 7037 clientes de una empresa telefonica se tienen variables cualitativas y cuantitativas. Además, se analiza que cliente se quedan y cuales se van de la empresa (churn).
Se observa una relación directamente proporcional entre los cargos totales y la antiguedad, donde a mayor antigueda mayor son los cargos totales. Además, se presenta una correlación igual a \(r=0.83\)
Con base en el gráfico, no se observa una asociación entre el género y la fuga de clientes. Por lo tanto, el género no influye en que el cliente se vaya de la empresa.
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