CustomerChurnModel

Roland Pfeifer
10/12/2017

First Slide

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  • Telco Churn Model
  • LOS Exploratory Analysis

Overview

This presentation contains documentation for the Customer Churn LOS application. The application can be found here

This application is exploring the Customer Churn Data with respect to LOS (Length of Stay) distribution

Data Source

we have forked repository https://github.com/treselle-systems/customer_churn_analysis which contains the sample data set 'WAFn-UseC-Telco-Customer-Churn.csv'

telecomDataframe <- read.csv("WA_Fn-UseC_-Telco-Customer-Churn.csv", sep = ",")
summary(telecomDataframe)

      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
 No                 :2810   No                 :2785  
 No internet service:1526   No internet service:1526  
 Yes                :2707   Yes                :2732  




           Contract    PaperlessBilling                   PaymentMethod 
 Month-to-month:3875   No :2872         Bank transfer (automatic):1544  
 One year      :1473   Yes:4171         Credit card (automatic)  :1522  
 Two year      :1695                    Electronic check         :2365  
                                        Mailed check             :1612  



 MonthlyCharges    TotalCharges    Churn     
 Min.   : 18.25   Min.   :  18.8   No :5174  
 1st Qu.: 35.50   1st Qu.: 401.4   Yes:1869  
 Median : 70.35   Median :1397.5             
 Mean   : 64.76   Mean   :2283.3             
 3rd Qu.: 89.85   3rd Qu.:3794.7             
 Max.   :118.75   Max.   :8684.8             
                  NA's   :11                 

hist(telecomDataframe$tenure)

plot of chunk unnamed-chunk-1

Shiny files

The application is build using Shiny package and the source code is in 2 files:

  • ui.R
  • server.R

Both files can be found here: GitHub repo

Application functionality

The application is drawing histogram of frequency of LOS distribution in the telco data set.