Skip to main content
SimilarExport ZIP
100%

LoadCsv

✓ Published1🌍 Public
JJimMaltby
Last edited Jun 18, 2022
Created on Jun 3, 2022

This example demonstrates how D3 loads and processes CSV data, specifically highlighting the behavior of `d3.csv` with a custom row-accessor function. The code defines an inline array that mimics CSV content, then uses `d3.csv` to parse it while trimming, lowercasing, and computing a derived `duration` field. Rows where the end value is not greater than the start value are filtered out. The processed result is logged to the console along with the column keys, showing which columns remain after transformation. It uses D3 v5’s promise-based `d3.csv` API and the `data.columns` property to inspect parsed fields.

AI-generated description

A reusable scatter plot inspired by Towards Reusable Charts and Observable: selection.join.

Shows the Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

LoadCsv-v1

This example loads CSV data using `d3.csv`, processes each row to calculate a `duration` field, and filters out invalid entries where the end time precedes the start time. The processed data is then passed to a chart via `d3.select("#chart")` with a `.join()` operation that appends text elements. The code references the Iris Dataset as its source, though the actual CSV strings shown are placeholder example data. It demonstrates a reusable scatter plot pattern inspired by Mike Bostock’s "Towards Reusable Charts" and Observable’s selection-join technique.

JJimMaltby
83% match
Loading thumbnail…

Loading and parsing CSV Data

This example demonstrates how to load and parse CSV data using D3.js. It shows the process of fetching an external CSV file and converting its rows into JavaScript objects for further visualization use. The code employs D3's `d3.csv()` method to handle the asynchronous data retrieval and parsing. The rendered output is presented within an HTML page that contains a single script block, with the data ultimately displayed in the browser's console rather than as a graphical chart.

Ppaulrosedigital
79% match
Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3.js, displaying a summary of the fetched dataset’s size, row count, and column count in large text. The code calls `d3.csv` on a remote URL containing CSS named colors, then formats the result with `d3.csvFormat` to calculate the data size in kilobytes. It also accesses the parsed array’s `length` and `columns` properties to report row and column totals. A commented alternative shows using the Fetch API with `async/await` and `d3.csvParse` for the same task.

RRandyElkins
79% match
Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse a CSV file using D3 v5, displaying the file size, row count, and column count in large text. It uses `d3.csv` to fetch and parse the dataset asynchronously via a promise, then formats a summary message with `d3.csvFormat` to calculate kilobyte size. The data source is a GitHub-hosted CSV containing CSS named colors. An alternate approach using the Fetch API with `async` and `await`, plus `d3.csvParse`, is included as commented-out code for comparison.

JJohn Patrick Banas
79% match
Loading thumbnail…

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
79% match
Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to asynchronously load and parse a CSV file using D3. It fetches a remote dataset of CSS named colors and then displays summary statistics about the parsed data, including its size in kilobytes, the number of rows, and the number of columns. The core functionality relies on the `d3.csv` and `d3.csvFormat` APIs from d3.v5, which handle the network request and CSV parsing. The visual output is simple, presenting the computed metrics as large text within an HTML `<pre>` element.

Vvangenned
78% match
Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse a CSV file using D3 v5, displaying the file size, row count, and column count in a large text block. The code fetches a CSV of CSS named colors from a GitHub gist via `d3.csv`, which returns a promise, and then uses `d3.csvFormat` to measure the data size in kilobytes. The parsed data array and its `.columns` property provide the row and column totals, which are written into the page using standard DOM manipulation.

SSam Jukes
78% match
Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates loading and parsing a CSV file with D3 v5, displaying the resulting dataset’s size, row count, and column count in a large preformatted text element. It fetches a remote CSV of CSS named colors using `d3.csv`, then formats the resulting parsed data with `d3.csvFormat` to compute its kilobyte size. The code also includes commented alternatives using the Fetch API and async/await with `d3.csvParse`, though only the primary `d3.csv` promise-based method is active.

Sstellnew
78% match