Loading and Parsing CSV Data

Loading and parsing CSV data

This example demonstrates how to load CSV data from a remote URL and display basic statistics about it. The page shows the file size in kilobytes, the number of rows, and the number of columns with column names. It uses d3.csv to fetch and parse the data from a GitHub gist containing named CSS colors. The results are rendered as plain text inside a pre element, with the message constructed using string concatenation. The code also includes commented-out alternatives using fetch and d3.csvParse.

MMartina Sladekova

Loading and parsing CSV data

This example demonstrates the basic process of loading a remote CSV file and inspecting its structure. It fetches the data from a GitHub Gist containing CSS named colors and displays three key statistics: the approximate file size in kilobytes, the number of data rows, and the number of columns. The D3.js v7 library’s `d3.csv` method handles the asynchronous network request and parsing, while `d3.csvFormat` is used to estimate the raw data size. The resulting summary is then rendered into a `<pre>` element with large, bold text styling.

KKIRRAN P L

Loading and parsing CSV data

This example demonstrates loading a CSV file from a remote URL and displaying basic statistics about the dataset, including its size in kilobytes, row count, and column count. The visualization uses D3.js v7, specifically the `d3.csv` function to asynchronously fetch and parse the data from a GitHub gist containing CSS named colors. The parsed data is then processed with `d3.csvFormat` to calculate the file size, while the row and column counts are retrieved from the data object's properties. The results are presented as plain text in a large `<pre>` element on the page.

RRoberto M

Loading and Parsing CSV Data

This example demonstrates how to load and parse a remote CSV file, displaying summary statistics about the dataset in large text. It fetches named CSS color data from a GitHub gist using `d3.csv`, then computes and shows the file size in kilobytes, the total number of rows, and the column count. The code uses D3 v7’s `d3.csv` promise API and `d3.csvFormat` to measure the parsed data’s size, appending the results to a `<pre>` element with DOM methods. The visualization is purely textual, highlighting basic data inspection after asynchronous loading.

GGabriel

Loading and Parsing CSV Data

This example demonstrates loading and parsing a CSV file with D3.js version 7, displaying the resulting row count, column count, and file size in kilobytes. It retrieves the data from a remote GitHub gist URL containing CSS named colors. The code uses `d3.csv()` to fetch and parse the remote CSV, then accesses the parsed data’s `.length` and `.columns` properties to extract the metadata. It also formats the data back to CSV with `d3.csvFormat()` to compute the data size, and outputs the statistics in a large `<pre>` element.

BBruno Simoes

Loading and Parsing CSV Data

This example demonstrates loading a remote CSV file and displaying basic metadata about it, specifically the file size in kilobytes, the number of rows, and the number of columns. It uses `d3.csv()` from D3 version 7 to fetch and parse the data from a GitHub gist containing CSS named colors. The parsed data is then analyzed with `d3.csvFormat()` and the `data.columns` property, and the resulting statistics are rendered inside an HTML `<pre>` element.

JJames Huang

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v6, displaying basic file statistics in the browser. It fetches a remote CSV file containing CSS named colors from a GitHub gist, then uses `d3.csvParse` to convert the raw text into a structured data array. The visible output reports the file size in kilobytes, the number of data rows, and the number of columns, all rendered inside a `<pre>` element. The code relies on the native Fetch API for the HTTP request and `d3.csvParse` for parsing.

JJohn Kobbeman

Loading and Parsing CSV Data

This example demonstrates loading a remote CSV file of CSS named colors and displaying basic file statistics. A large preformatted text element shows the file size in kilobytes, the number of rows, and the number of columns. The code uses the d3.csv method from D3 v7 to fetch and parse the data asynchronously, then accesses the parsed array and its columns property. The data comes from a GitHub gist URL, and the results are written to the page via textContent.

11godfrey