Loading and Parsing Kent UK police stop and search CSV Data

Loading and Parsing CSV Data on "US Police Shootings"

This example displays summary statistics for a CSV dataset of US police shootings, showing the file size in kilobytes, row count, and column count in large text. It loads the data using `d3.csv` from d3.v5, then reports `data.length` and `data.columns.length` after parsing. The code also includes commented-out alternatives using `fetch` with `async`/`await` and `d3.csvParse`, highlighting different parsing approaches. The data comes from a gist hosted on GitHub.

Llintonylin

80% match

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.

79% match

Loading and Parsing CSV Data

79% match

Boston Crime Analysis CSV Data - Loading and Parsing

This example displays summary statistics from a Boston crime CSV dataset, showing the file size in kilobytes, total row count, and number of columns. It loads the remote CSV using `d3.csv` and parses it asynchronously with a Promise. The code also demonstrates alternative approaches using `fetch`, `async/await`, and `d3.csvParse`, though the active path relies on `d3.csvFormat` to compute text length for the size estimate. Results appear in a large preformatted text element.

JJosvin John

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5. It displays the file size, row count, and column count of a wildlife trade dataset pulled from a GitHub gist. The primary approach uses `d3.csv`, which fetches and parses the CSV in one step, while commented-out alternatives show `fetch` with `async`/`await` combined with `d3.csvParse`. The results appear as large text in a `pre` element, providing a simple, immediate visual summary of the dataset’s basic dimensions.

Loading and Parsing CSV Data

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3.js version 5. It fetches a wildlife trade dataset from a GitHub gist and displays the file size in kilobytes, the number of rows, and the number of columns in a large text block. The code uses d3.csv to fetch and parse the data, then accesses the resulting array and its columns property. An alternative approach using the Fetch API with async/await and d3.csvParse is also included as commented-out code.