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Loading and Parsing the Student Performances Dataset

✓ Published1🌍 Public
RRidhima Saxena
Last edited Oct 22, 2021
Created on Oct 1, 2021

This visualization demonstrates how to load and parse a CSV dataset of student exam performances from a Kaggle-sourced gist. It shows the file size in kilobytes, the number of rows, and the number of columns in the dataset. The code uses `d3.csv` to fetch the remote CSV file, then calculates the size with `d3.csvFormat` and `.length`, and displays the results as large text in a `<pre>` element. The page relies on D3 v7 for data loading and formatting.

AI-generated description

This visualization is a program that loads and parses student exam performances data in csv format. This is a dataset taken from kaggle describing students' test scores in various subjects. The link to the gist that provides this data.

MIT Licensed

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