Ingesting-Data

100%

Ingesting-Data

✓ Published0🌍 Public

Last edited Feb 6, 2022

Created on Feb 4, 2022

This example fetches a CSV of greenhouse gas emissions by life-cycle stage from a GitHub-hosted Our World in Data upload, then uses `d3.csvParse` to convert the raw text into a structured array. It displays a summary of the data—approximate file size in kilobytes, row count, and column count—in a pre-formatted message area. The code also demonstrates chaining `d3.select`, `append`, and `attr` calls to construct an SVG circle and group, though no data-driven geometry is rendered. The page uses React and ReactDOM loaded via UMD, but the visible output relies on plain DOM text updates.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Loading Data in React with D3

This example demonstrates how to load and inspect a CSV dataset within a React application using D3. It fetches GHG emissions data from a GitHub gist and displays a summary of the file’s size, row count, and column count as a large text message. The code uses React’s `useState` and `useEffect` hooks to manage the asynchronous data loading, with `d3.csv` handling the file parsing. The rendered output updates from a loading state to the computed statistics once the data arrives, showcasing a simple integration of D3 with React’s component lifecycle.

RRoland

81% match

Loading thumbnail…

csvdata

This example demonstrates how to load and parse a CSV file using D3 v4 within a React application, displaying the dataset's basic statistics—file size in kilobytes, row count, and column count—in a styled HTML paragraph. The SVG background includes decorative vector shapes and icons, while the main interaction relies on `d3.csv` to fetch data from a GitHub Gist URL and log the parsed result to the console. The page uses CSS for visual formatting, with the message rendered via the DOM's `textContent`.

RRohith arabati

78% match

Loading thumbnail…

ingesting data with d3

This example demonstrates how to ingest a CSV file into a web page using D3 version 7, displaying demographic data as an HTML table. The code loads `data.csv` via `d3.csv` and maps each row into a structured object with renamed properties like `year`, `total`, and `hispanic`. Using D3’s data join, it programmatically builds a table with `<thead>` and `<tbody>` elements, populating cells with values for selected columns. The example uses `d3.select`, `append`, `selectAll`, and `.data` to render the tabulated data, with the imported module `index.js` importing from `d3`.

RRoland

78% match

Loading thumbnail…

11525657_ICE5

This example demonstrates basic data loading and parsing with D3. It fetches a CSV file from a GitHub gist using `d3.csv`, then displays the file size, row count, and column count in a large, styled text element. A static ornamental SVG image is also embedded on the page. The visualization uses D3 v7 within a plain HTML page, with styling applied via CSS to highlight the parsed data summary.

BBVNPK001

77% match

Loading thumbnail…

Loading and Parsing CSV data

This example demonstrates loading and parsing CSV data using JavaScript's fetch API within a D3.js environment. The program retrieves a remote CSV file containing greenhouse gas emission data from a GitHub gist and parses it into a JavaScript object using the `d3.csvParse` method. The fetched text is converted asynchronously, and the resulting parsed data is logged to the console. The visualization relies on D3 v7.6.1 and showcases the process of handling asynchronous data loading to prepare tabular data for subsequent visualization.

CChristianABeier

77% match

Loading thumbnail…

Parsing csv Data with d3

This example demonstrates how to load and summarize a CSV dataset using D3. It fetches a color-name dataset from a GitHub gist and displays the file size in kilobytes, the number of rows, and the column count. The code uses `d3.csv` to asynchronously parse the remote file, then `d3.csvFormat` to calculate the raw data size. Results are shown as plain text in a large `<pre>` element, with the page styled minimally via inline CSS and D3 v6 loaded from a CDN.

Aadewole-top

77% match

Loading thumbnail…

Laoding Data with React & D3

This example demonstrates a minimal React and D3 workflow for loading and summarizing a CSV dataset from a GitHub gist. The app fetches the data with D3’s `csv` utility and stores it in React state via a `useEffect` hook. While the data is loading, a simple fallback message appears; once loaded, the interface presents a breakdown of the dataset’s size in kilobytes, row count, and column count using D3’s `csvFormat` method. The result is rendered as an SVG-compatible `<pre>` element, highlighting a straightforward integration of D3’s data utilities with React’s state management.

Bbreadcircle

77% match

Loading thumbnail…

Parsing Data With D3

This example demonstrates how D3’s `d3.csv` method asynchronously fetches and parses a CSV file from a GitHub Gist, then uses `d3.csvFormat` to convert the parsed data back into text. The page displays a large summary in a `<pre>` element showing the total row count, column count, and approximate data size in kilobytes. The code also includes commented-out manual `fetch` and `d3.csvParse` alternatives, highlighting D3’s built-in parsing pipeline in a minimal HTML document.

DDavid Allyn

77% match