Fetch data with D3js

Loading and Parsing CSV Data

This example demonstrates the basics of loading and parsing CSV data with D3.js. It fetches a remote CSV file containing CSS named colors and displays three summary statistics in a large-text format: the file size in kilobytes, the number of data rows, and the number of columns. Using `d3.csv` with a promise chain, the code accesses the parsed data object and calls `d3.csvFormat` to measure the raw string length. The interface is a simple `<pre>` element updated via `textContent`, with commented alternatives using `fetch` and `d3.csvParse` for comparison.

FFrederick O'Brien

Loading and parsing CSV data

This example demonstrates how to load and parse a remote CSV file using D3.js. It renders a summary of the parsed dataset as large text, showing the file size in kilobytes, the number of rows, and the number of columns. The code uses `d3.csv()` with a promise to fetch the CSS named colors dataset from a GitHub gist, then applies `d3.csvFormat()` to measure the data size and accesses `data.length` and `data.columns` for the row and column counts. The result is displayed in a `<pre>` element via `document.getElementById()`.

Ee-ines

Loading and parsing CSV data

This example demonstrates how to load and parse a CSV file using D3.js, presenting the dataset’s size, row count, and column count as large text on the page. It fetches a CSV of named CSS colors from a GitHub gist via `d3.csv()`, then uses `d3.csvFormat()` to calculate the file size in kilobytes. The code also includes a commented alternative approach using the Fetch API with async/await and `d3.csvParse()` for manual parsing. The interface is minimal, rendering the three computed metrics inside a styled `<pre>` element.

Bblackbottt

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data in D3.js, displaying a summary of the resulting dataset. It fetches a CSV file containing CSS named colors from a GitHub gist using `d3.csv`, then formats the parsed data with `d3.csvFormat` to calculate its size in kilobytes. The visualization presents three key metrics as plain text: the data size, row count, and column count, all rendered in a large `<pre>` element. The code also includes commented alternatives using the Fetch API with `d3.csvParse` to show different parsing approaches.

BBen Seebeck

Loading and Parsing CSV Data

This example demonstrates how to load and summarize a CSV file using D3 v7. It fetches a remote dataset containing CSS named colors from a GitHub gist, then displays the file size, row count, and column count in a large text element. The code uses the Fetch API to retrieve the raw text and D3’s `d3.csv` to parse it into an array of objects, with `d3.csvFormat` measuring the parsed data’s size. The page dynamically renders these statistics into an HTML `<pre>` container.

MMamveguh

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

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3.js, displaying the file size, row count, and column count of a remote dataset containing CSS named colors. It uses `d3.csv` to fetch and parse the data from a GitHub gist URL, then formats the output with `d3.csvFormat` to calculate the data’s size in kilobytes. The message is rendered into a `<pre>` element with large typography. A commented-out alternative using the Fetch API and `d3.csvParse` shows an equivalent approach.

TTung Pham

Loading and parsing csv data

This example demonstrates how to load and parse CSV data using D3.js, displaying a summary of the dataset in a large preformatted text element. The visualization shows the number of rows, columns, and file size in kilobytes for a dataset of CSS named colors fetched from a GitHub gist. The code uses the `d3.csv` method to asynchronously fetch and parse the remote CSV file, then counts rows via `data.length`, columns via `data.columns.length`, and computes the approximate file size with `d3.csvFormat` and `Math.round`. Alternative fetching with `fetch` and `d3.csvParse` appears in a commented section.

Bbjfmbeck