Dataset research report
Churn Prediction research report
A reproducible data report with schema notes, generated chart evidence, suggested follow-up questions, and export-ready Helix queries.
Executive Summary
Customer churn prediction dataset of a fictional telecommunication company made by IBM Sample Datasets. Context Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs. Content Each row represents a customer, each column contains customer’s attributes described on the column metadata. The data set includes information about: Customers who left within the last month: the column is called Churn Services that each customer… See the full description on the dataset page: https://huggingface.co/datasets/scikit-learn/churn-prediction.
Research Context
Churn Prediction: 500 rows by 21 columns. These exploratory charts are generated automatically from the data - open the dataset in Helix to ask your own questions.
Data Profile
Chart Evidence
These views are generated from the dataset profile. Each chart is paired with a Helix query so it can be opened, adjusted, and exported.
Total SeniorCitizen by gender
Top gender values ranked by summed SeniorCitizen.
Open and export this chartSeniorCitizen vs tenure
SeniorCitizen vs tenure, coloured by gender.
Open and export this chartCorrelation of numeric columns
Pearson correlation between numeric columns.
Open and export this chartSeniorCitizen by gender
Spread of SeniorCitizen across gender groups.
Open and export this chartFollow-Up Queries
Preview Rows
| # | customerIDtext | gendertext | SeniorCitizeninteger | Partnertext | Dependentstext | tenureinteger | PhoneServicetext | MultipleLinestext |
|---|---|---|---|---|---|---|---|---|
| 1 | 7590-VHVEG | Female | 0 | Yes | No | 1 | No | No phone service |
| 2 | 5575-GNVDE | Male | 0 | No | No | 34 | Yes | No |
| 3 | 3668-QPYBK | Male | 0 | No | No | 2 | Yes | No |
| 4 | 7795-CFOCW | Male | 0 | No | No | 45 | No | No phone service |
| 5 | 9237-HQITU | Female | 0 | No | No | 2 | Yes | No |
| 6 | 9305-CDSKC | Female | 0 | No | No | 8 | Yes | Yes |
Data Dictionary
- customerID text
- gender categorical
- SeniorCitizen numeric
- Partner categorical
- Dependents categorical
- tenure numeric
- PhoneService categorical
- MultipleLines categorical
- InternetService categorical
- OnlineSecurity categorical
- OnlineBackup categorical
- DeviceProtection categorical
- TechSupport categorical
- StreamingTV categorical
- StreamingMovies categorical
- Contract categorical
- PaperlessBilling categorical
- PaymentMethod categorical
- MonthlyCharges datetime
- TotalCharges text
- Churn categorical
Method And Limits
- Load the catalog entry and preview rows from the processed dataset file.
- Infer numeric, categorical, time, and location fields from real columns.
- Generate a small set of defensive Plotly chart specifications from that profile.
- Expose each chart idea as a query link so the report can be rerun or exported in Helix.
This report is intentionally reproducible. It uses the local catalog metadata and generated chart specifications rather than claiming external conclusions beyond the dataset.