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Dataset 2 Graduate Admission

✓ Published1🌍 Public
ZZG
Last edited Sep 9, 2020
Created on Sep 9, 2020

This example fetches a CSV file of graduate admission data and displays a plain-text summary of its size and structure, including file size in kilobytes, row count, and column count. The visualization is minimal, serving as a data-loading diagnostic rather than a graphical chart. It uses the `d3.csvParse` method from D3 v5 to parse the remote CSV, and the `fetch` API to retrieve the text from a GitHub Gist URL. The parsed data’s `length` and `columns.length` properties are accessed to generate the summary text, which is rendered inside a `<pre>` element.

AI-generated description

Graduate Admission CSV

The dataset contains several parameters which are considered important during the application for Masters Programs. The parameters included are :

GRE Scores ( out of 340 )

TOEFL Scores ( out of 120 )

University Rating ( out of 5 )

Statement of Purpose and Letter of Recommendation Strength ( out of 5 )

Undergraduate GPA ( out of 10 )

Research Experience ( either 0 or 1 )

Chance of Admit ( ranging from 0 to 1 )

MIT Licensed

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