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Churn of a company CSV Data

✓ Published0🌍 Public
AArjun Rao
Last edited Sep 9, 2020
Created on Sep 9, 2020

This example loads a CSV dataset on employee churn from a Kaggle-hosted file and uses D3 v5’s `d3.csv` to parse it. The visualization displays only summary statistics: the file size in kilobytes, the number of data rows, and the number of columns, rendered as large text in a `<pre>` element. The code also demonstrates an alternative approach using the Fetch API with `async/await` and `d3.csvParse`, though that path remains commented out. The interface is minimal, showing no charts or plots, but serves as a concise data-loading and formatting check.

AI-generated description

A program that loads and parses some CSV data: [https://www.kaggle.com/shubh0799/churn-modelling]

This dataset shows churn for a comopany and thier a a variety of factors in this study for analysis. The description of the data can be viewed at:- (https://gist.githubusercontent.com/arjunrao796123/7c30f2b6d4a3a3746b0154260a7f46e8/raw/README.md).

MIT Licensed

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