Banking

20,000 customers. Churn flag correlated with behaviour. ML-ready.

Instant profiling, quality flags, visualizations, and a plain-English synopsis — automatically. Then ask questions or generate SQL.

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About the data

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20k customer records with tenure, contract type, charges, product count, internet type, and a churn flag correlated with behaviour features. Clean numeric features ideal for binary classification and scipy.stats correlation analysis.

20,000 rows11 columns~1.3 MB
ML / SciPyBinary ClassificationCorrelation AnalysisFeature EngineeringSciPyLogistic Regression

Data is synthetic and for demonstration purposes only. Inspired by Kaggle · Telco Customer Churn

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Frequently Asked Questions

What is the Customer Churn dataset?▾

20k customer records with tenure, contract type, charges, product count, internet type, and a churn flag correlated with behaviour features. Clean numeric features ideal for binary classification and scipy.stats correlation analysis.

How many rows and columns does the Customer Churn dataset have?▾

The Customer Churn dataset contains 20,000 rows and 11 columns. The file size is approximately 1.3 MB in CSV format.

What can I do with the Customer Churn dataset in Infoveave?▾

You can upload the Customer Churn CSV directly into Infoveave and use Fovea AI to get instant profiling, data quality checks, visualizations, and a plain-English synopsis. You can also ask natural-language questions or generate SQL — no coding required.

Is the Customer Churn dataset free to download?▾

Yes, the Customer Churn dataset is completely free to download as a CSV file. It is a synthetic dataset inspired by publicly available banking data patterns, created for demonstration and learning purposes.

What use cases is the Customer Churn dataset suited for?▾

The Customer Churn dataset is suited for machine learning. Common applications include binary classification, correlation analysis, feature engineering.

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