Chicago Employee Reimbursements

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5, displaying file size, row count, and column count in a large pre-formatted text element. The code uses `d3.csv()` to fetch and parse the dataset from a GitHub-hosted CSV file containing NYC social media usage data, then formats the statistics with `d3.csvFormat()` to calculate kilobyte size. An alternative commented-out approach uses the Fetch API with `async`/`await` and `d3.csvParse()` for manual parsing. The example concisely shows the core workflow of retrieving and inspecting tabular data in a browser environment.

KKarenNg

Loading and Parsing CSV Data

KKarenNg

Loading Parsing CSV Data

This example demonstrates how to load and parse a CSV file, displaying file size, row count, and column count on a webpage. It uses d3.csv to fetch a remote dataset from a GitHub gist raw URL, then formats the results with d3.csvFormat to calculate kilobytes. The page also includes commented-out code showing an alternative approach using fetch, async/await, and d3.csvParse. A large pre element displays the final statistics as text.

RRaphael Fogha

Loading and Parsing CSV Data

This example demonstrates the basic process of loading and parsing CSV data by displaying the file size, row count, and column count of a remote dataset. It fetches a CSV file from a GitHub Gist using the `fetch` API, then parses it with `d3.csv` and re-formats it with `d3.csvFormat` to compute the kilobyte size. The parsed data’s dimensions are displayed in large text within a `<pre>` element. The code also includes an alternative commented-out approach using `d3.csvParse` on raw text.

Sspace-captain96

Loading and Parsing CSV Data

This example demonstrates how to load and parse a CSV file using D3 v7’s `d3.csv` method, then reports the dataset’s size in rows, columns, and kilobytes. The data comes from a remote GitHub gist containing CSS named colors. The code also includes an alternative approach using the Fetch API and `d3.csvParse` to handle the CSV text directly. Results are displayed in a large `<pre>` element, with the file size rounded to the nearest kilobyte.

Wwaur1024

Loading & parsing CSV data

This example demonstrates how D3 loads and parses external CSV data by fetching a remote file and displaying a summary of its contents. The code uses `d3.csv()` to retrieve the dataset from a GitHub gist URL, then calculates and presents the file size in kilobytes, the number of rows, and the number of columns directly on the page. The resulting message is rendered inside an HTML `<pre>` element via the `textContent` property, with `d3.csvFormat()` used to measure the data’s string length for the size calculation. The example also defines an unused `fetchText` helper with the Fetch API.

Ccharles-duron

Load and Parse Csv File

This example demonstrates loading and parsing a CSV file with D3, displaying the dataset’s size in kilobytes, row count, and column count as plain text. It fetches a remote CSV from a GitHub gist using `d3.csv`, which parses the file into an array of objects. The formatted data is measured with `d3.csvFormat`, and the computed metrics are injected into an HTML `<pre>` element via `textContent`. The page uses D3 v5 with a minimal, unstyled body layout.

Ttenghaoman

Loading and parsing CSV data wih D3

This example demonstrates how to load and parse CSV data using D3 v7. It displays the row count, column count, and file size in kilobytes as large text on the page. The code uses `d3.csv()` to fetch and parse a CSV file from a GitHub gist, then processes the resulting data array and columns. It also includes commented-out alternatives using `fetch()` with `async/await` and `d3.csvParse()` to illustrate older parsing approaches.

AAoibhinnRed