Fork of Loading and Parsing CSV Data

100%

Fork of Loading and Parsing CSV Data

✓ Published0🌍 Public

Last edited Aug 16, 2024

Created on Aug 16, 2024

Forked from Loading and Parsing CSV Data

This visualization demonstrates the loading and parsing of a CSV file containing CSS named colors, displaying the data’s size in kilobytes, row count, and column count in a large text block. It uses the `d3.csv` function to fetch the remote CSV and parse it into a data array, then calls `d3.csvFormat` to measure the serialized size. The code also includes commented-out alternatives using the Fetch API with `async`/`await` and `d3.csvParse`, highlighting different methods for handling asynchronous data loading.

AI-generated description

A program that loads and parses some CSV data: CSS Named Colors.

Similar vizzes

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This visualization demonstrates the size and structure of a CSV dataset containing CSS named colors. It displays the file size in kilobytes, the number of rows, and the number of columns in a large text readout. The code fetches the remote CSV file using `d3.csv`, then calculates the formatted byte count with `d3.csvFormat` and accesses the parsed data’s length and column information. The example also includes commented-out alternatives using `fetch`, async/await, and `d3.csvParse` to show different parsing workflows.

TTakuya Kitazawa

97% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example displays the size and structure of a CSS Named Colors CSV dataset by rendering three statistics—kilobytes, row count, and column count—in a large monospace font. Using D3 v5, the code loads the remote CSV file via `d3.csv()` and formats the output with `d3.csvFormat()`. It also includes commented alternatives using the Fetch API with `async/await` and `d3.csvParse()`, alongside an older nested-promise pattern, to illustrate different parsing approaches. The visualization itself is minimal, focusing on the data-loading process rather than graphical representation.

Jjasonamey

96% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

Jjasonamey

96% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing a CSV file of CSS named colors, displaying the dataset’s file size, row count, and column count as large text. Using D3 v5, it calls `d3.csv()` to fetch and parse the remote CSV, then applies `d3.csvFormat()` to measure the data’s size. The page also includes commented-out alternatives using `fetch()` with async/await and `d3.csvParse()` to highlight different parsing approaches. The visualization is purely textual, with no charts or graphs.

KKediBabasi

96% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This visualization demonstrates the process of loading and parsing a CSV dataset of CSS named colors, displaying the file size in kilobytes, number of rows, and number of columns in a large pre-formatted text block. The code uses the D3.js `d3.csv` method to fetch and parse the remote CSV file from a GitHub gist, then computes summary statistics using `d3.csvFormat` and the resulting data array’s `length` and `columns` properties. The example also includes commented-out alternatives using the Fetch API with `async`/`await` and `d3.csvParse`, highlighting different approaches to asynchronous data loading. Built with React, the visualization focuses on the data-loading workflow rather than graphical rendering.

AasafJortilles

95% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This visualization displays the size and structure of a CSV dataset containing CSS named colors, reporting its file size in kilobytes, row count, and column count as large text. It demonstrates two equivalent approaches for loading and parsing CSV data: the primary method uses `d3.csv` with a Promise, while commented alternatives show `fetch` combined with `async`/`await` and `d3.csvParse`. The data originates from a GitHub gist containing named color values. The example highlights modern asynchronous JavaScript patterns for handling external data in D3 v5.

Hhuashe418

95% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This visualization demonstrates the structure of a CSV dataset containing CSS named colors. It uses D3.js version 5 to fetch and parse the remote CSV file, then displays the file size in kilobytes, the total row count, and the number of columns in the dataset. The example also includes commented-out code showing alternative approaches for loading the data using the Fetch API with async/await syntax and a nested promise structure. The final output is rendered as plain text within an HTML pre element.

BbeauMarko

95% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example displays the size and structure of a CSS Named Colors CSV dataset by rendering a multi-line message with the file size, row count, and column count. The visualization uses D3 v5’s `d3.csv` to load and parse the remote CSV file, then formats the result with `d3.csvFormat` to compute the kilobyte size. The code also contains commented-out alternatives using `fetch`, `async`/`await`, and `d3.csvParse`, showing different methods for handling asynchronous data loading within a React framework.

JJanna Uutela

95% match