Fork of Loading and Parsing CSV Data

100%

Fork of Loading and Parsing CSV Data

✓ Published0🌍 Public

Last edited Jul 23, 2022

Created on Jul 23, 2022

Forked from Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data from a remote source using D3 v5’s `d3.csv` method, which returns a promise. The code fetches a COVID-19 death time series dataset, identifies the latest date column, and aggregates the total deaths across all rows by mapping values to numbers and reducing them with a sum function. The result is logged to the console, while the HTML page displays a large, empty `<pre>` element intended for output. The implementation runs in a React framework and uses plain JavaScript promises for asynchronous data handling.

AI-generated description

A program that loads and parses some CSV data: CSS Named Colors.

Similar vizzes

Loading thumbnail…

Fork of Loading and Parsing CORONAVIRUS

This example demonstrates how to load and parse global COVID-19 death data from a CSV file hosted on GitHub. Using d3.csv, it fetches the time-series dataset and calculates the total deaths from the most recent date column. The interface displays summary statistics, including the CSV file size in kilobytes, the number of rows, the number of columns, and the label of the latest data column. The code also includes commented-out alternatives using fetch with async/await and a nested promise chain.

Jjesramyep1263

87% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example displays summary statistics from a remote CSV file containing COVID-19 vaccination data. The page shows the file size in kilobytes, the number of rows, and the number of columns, rendered in large text within a `<pre>` element. It uses d3.csv to fetch and parse the data from the provided URL, then formats the results with d3.csvFormat. The code also includes commented-out alternatives using the Fetch API with async/await and d3.csvParse, as well as a nested promise “pyramid of doom” pattern.

AAnna Absi

86% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing a CSV dataset of COVID-19 vaccination trends in the US, displaying a summary of the data‘s size, row count, and column count. The visualization uses d3.csv to fetch and parse the data from a GitHub Gist, then formats the statistics with d3.csvFormat. The code also includes commented-out alternatives using the Fetch API with async/await and d3.csvParse, illustrating different approaches to asynchronous data loading in D3 v5.

Ccshm407

85% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5 within a React framework. It fetches a Spotify dataset from GitHub and displays the file size, row count, and column count in a large text format. The code primarily uses `d3.csv` with a promise-based `.then()` method, while commented-out alternatives show implementations using `fetch` with async/await and `d3.csvParse`. A commented "pyramid of doom" example illustrates older nested promise patterns. The visualization is minimal, focusing on the data-loading process rather than graphical representation.

AAmanda-Tai

85% match

Loading thumbnail…

Fork of Fork of Loading and Parsing CORONAVIRUS

This example displays a text summary of COVID-19 global death data parsed from a CSV file hosted by the CSSE at Johns Hopkins. It uses `d3.csv` to fetch and parse the time-series data, then computes the total deaths from the latest date column using JavaScript’s `reduce`. The displayed message includes file size, row and column counts, the final date, and the formatted death total via `d3.format`. The results are rendered inside a styled `<pre>` element, with the code running in a React-based build using D3 v5.

Jjesramyep1263

85% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing CSV data using D3 v5 within a React framework. It displays a large pre-formatted text element showing key statistics about the dataset: size in kilobytes, number of rows, and number of columns. The code uses `d3.csv` to fetch and parse the CSV file, then accesses the resulting data array and its `.columns` property. An alternative commented-out approach uses the Fetch API with `async`/`await` and `d3.csvParse`, while a third commented block illustrates a nested Promise-based "pyramid of doom" pattern. The data source is a Fitbit activity CSV hosted as a GitHub gist.

IIshana

85% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3.js. It fetches a CSV file containing COVID cases and employment statistics and displays the file size, row count, and column count in a large text output. The visualization primarily uses `d3.csv` to parse the data, with commented alternatives showing `fetch`, `async`/`await`, and `d3.csvParse`. A commented-out "pyramid of doom" pattern using nested `fetch` and `response.text()` is also present.

Aansonzhu1997

85% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5 in a React application. It fetches a dataset containing weather and flight delay information for Logan Airport, then transforms the raw CSV strings into JavaScript Date objects and numeric values for variables like daily precipitation, wind speed, and departure delays. The code uses `d3.csv` with Promise chaining to asynchronously retrieve the data, and displays the parsed results in the browser console. The visualization serves primarily as a data preprocessing step for downstream charting.

CChengwei Ye

85% match