Parsing CSV Data in D3

100%

Parsing CSV Data in D3

✓ Published1🌍 Public

Last edited May 7, 2023

Created on May 7, 2023

This example demonstrates how to load and parse CSV data using D3.js. It fetches a CSS Named Colors dataset from a GitHub gist, then uses `d3.csv` to parse the remote file and `d3.csvFormat` to calculate the data size. The visualization presents the file size in kilobytes, the total number of rows, and the column count as large text on a plain page. It also includes commented alternatives using `fetch` with async/await and a promise-based approach.

AI-generated description

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

MIT Licensed

Similar vizzes

Loading thumbnail…

Parsing CSV with D3

This example demonstrates how to parse a CSV file loaded from a remote URL using D3. It fetches a dataset of CSS named colors from a GitHub gist, then displays the file size in kilobytes, row count, and column count in large text. The visualization uses `d3.csv` to load and parse the data, and `d3.csvFormat` to measure the formatted size. The result is rendered into an HTML `<pre>` element, showing the parsed table’s dimensions without any graphical chart.

JJames Yu

93% match

Loading thumbnail…

Parsing CSV data with D3

This example demonstrates how to load and parse a CSV file from a remote URL using D3 v6. It displays the file size, row count, and column count on the page. The code uses `d3.csv` to fetch and parse the data asynchronously, then accesses the resulting array and its `columns` property, while `d3.csvFormat` is used to measure the raw text length. The data comes from a GitHub gist containing CSS named colors.

EElvira Nassirova

92% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates the fundamental process of loading and parsing CSV data with D3. It fetches a remote dataset of CSS named colors from a GitHub gist and displays summary statistics about the file in a large text element. The visualization shows the data’s size in kilobytes, row count, and column count by using `d3.csv` to load and parse the data, then `d3.csvFormat` to measure its length, and `data.columns` to determine the number of columns. An alternative implementation using `fetch`, `async`, and `d3.csvParse` is also provided in comments but not executed.

PPinzhi

92% match

Loading thumbnail…

Parsing CSV data with D3

This example demonstrates the basic mechanics of loading and parsing a CSV dataset with D3. It fetches a remote file of named CSS colors and displays summary statistics about the parsed data in large text. The code uses `d3.csv` to retrieve and parse the data asynchronously, then calls `d3.csvFormat` to measure the raw size in kilobytes. It reports the total number of data rows and the count of columns from the parsed array, showing how D3 structures tabular data as an array of objects.

Nnpelliccia

92% match

Loading thumbnail…

Parsing CSV Data with D3

This example demonstrates how to parse a remote CSV file of CSS named colors using D3 v7. It displays the file size in kilobytes, the number of data rows, and the column count in a large text output. The code uses the `d3.csv` API to fetch and parse the data from a GitHub Gist URL, alongside `d3.csvFormat` to measure the reformatted text length. This approach contrasts with an older method using `fetch` and `d3.csvParse`, shown in comments, highlighting the modern concise workflow.

MManick Vennimalai

92% match

Loading thumbnail…

Parsing CSV with D3

This example demonstrates how to parse CSV data with D3, displaying a concise summary of the dataset's size and structure. It fetches a CSS named colors CSV from a GitHub gist, then uses `d3.csv` to asynchronously load and parse the data. The code counts the rows and columns, estimates the file size in kilobytes using `d3.csvFormat`, and presents the results as text in a `<pre>` element. An alternative commented-out approach using `fetch`, `d3.csvParse`, and `csvFormat` is also included.

IIlgar Akalın

92% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5, displaying the file’s size, row count, and column count as text. It fetches the CSS Named Colors dataset from a GitHub gist via `d3.csv`, then formats the result with `d3.csvFormat` to compute the kilobyte size. The visualization also includes commented alternatives using `fetch` with `async`/`await` and `d3.csvParse`, highlighting different parsing approaches. The output appears in a `<pre>` element with large font styling, showing only textual metadata rather than a graphical chart.

AAn Jingyi

92% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates loading and parsing a CSV file with D3, displaying the file size, row count, and column count as large text. It uses `d3.csv` to fetch and parse the CSS Named Colors dataset from a GitHub gist, then formats the results with `d3.csvFormat` to calculate kilobytes. The code also includes commented alternatives using `fetch` with `async/await` and `d3.csvParse`.

TT.T

92% match