ric bitch

100%

✓ Published0🌍 Public

Last edited Apr 10, 2020

Created on Apr 5, 2020

This example loads COVID-19 case data from a CSV file and parses the date and population columns into JavaScript Date and number objects, logging the first row to the console. The page fixes the body to fill the viewport, includes D3 v5 via a CDN script tag, and defines a time format parser that is currently unused in the visible rendering logic. The visualization appears incomplete, as the index.js file only processes the data and logs it without creating any charts or graphical output.

AI-generated description

A bare minimum HTML page.

Similar vizzes

Loading thumbnail…

Data with React and D3

This example shows how to load and summarize COVID-19 case data from a CSV file using React and D3. The code fetches a May 2020 dataset from a GitHub gist via the `d3.csv` method, then displays basic metadata about the file, including its size in kilobytes, number of rows, and number of columns. The React app manages the loading state with the `useState` and `useEffect` hooks, rendering a loading message until the data arrives and then presenting the computed statistics. The visualization relies on `d3.csvFormat` to calculate the data size and ReactDOM to mount the component.

Mmanasishrotri

73% match

Loading thumbnail…

Untitled

This example loads a COVID-19 deaths time series from a GitHub-hosted CSV file using d3.csv, then displays summary statistics (kilobytes, column count, row count) via a React component. It uses React's useState and useEffect hooks to fetch and manage the data asynchronously, and the d3.range method to iterate once. The visualization ultimately renders a single face-like SVG shape—composed of circles with randomized eye, mouth, and stroke parameters—centered on a 960×500 canvas. The d3.csvFormat API is used to calculate the data size in kilobytes.

JJonas Carvalho

73% match

Loading thumbnail…

Visualisation

This example demonstrates loading and parsing a CSV file containing COVID-19 daily case data using D3 v5. The visualization sets up an SVG canvas with dimensions retrieved directly from the markup, and uses the `csv` and `select` APIs from D3 to fetch the data and log it to the console. Although no chart is rendered, it showcases the foundational workflow of importing D3 modules, loading external data via UNPKG, and preparing the SVG for future drawing operations.

Ssherman-wq

72% match

Loading thumbnail…

Loading and Parsing CSV Data with D3.js

This example demonstrates how to load and parse CSV data using D3.js, displaying the file size, row count, and column count of a COVID-19 dataset for 2021. The page renders an SVG image of a virus alongside the data summary. The code uses `d3.csv` to fetch the remote CSV file and `d3.csvFormat` to calculate the formatted data size. The result is displayed in an HTML `<pre>` element via the DOM API, with styling handled by the included CSS.

KKande2011

72% match

Loading thumbnail…

ice-5

This example demonstrates how to load and parse a CSV file using D3.js within a React application. It displays a message showing the data size in kilobytes, number of rows, and number of columns from a COVID-19 cases dataset pulled from a GitHub gist. The page also embeds an SVG image. The code uses `d3.csv` to fetch and parse the data, then `d3.csvFormat` to calculate the bytes, and finally writes the results into a `<pre>` element via the DOM API.

Ssowmyanagula@my.unt.edu

71% match

Loading thumbnail…

data

This example visualizes COVID-19 case data from a CSV file, showing the raw `total_cases` per location as vertical bars. The bars are rendered as `rect` elements appended to a `#canvas` div, with their heights set directly from the dataset values. The code uses d3.csv to parse the data and d3.select to bind it, though the bars are all positioned at the same coordinates, causing them to overlap into a single tall block. The visualization provides no axes, labels, or time-based differentiation, presenting only the cumulative case counts as a static, unprocessed bar chart.

Ssarahdays

71% match

Loading thumbnail…

ICE-5: Loading and Parsing CSV Data with D3.js

This example demonstrates loading and parsing CSV data with D3.js, displaying the result as a text summary in the browser. It shows the process of fetching a remote CSV file about COVID cases, calculating its size in kilobytes, counting the rows and columns, and outputting this information to a preformatted HTML element. The code uses D3's `d3.csv` function to fetch and parse the data asynchronously, and `d3.csvFormat` returns the parsed dataset as text to measure its length. A separate SVG image is also embedded in the page, and the title emphasizes the educational goal of learning data loading with D3.

PPriyanka11128

71% match

Loading thumbnail…

Covid_1

This example visualizes COVID-19 new cases from a cleaned CSV file, showing a cumulative sum line chart for a selected date. Buttons generated from all available dates let users switch between dates, and the chart updates to display the cumulative case total for that day. The visualization loads data via `d3.csv`, parses dates with `d3.timeParse`, and renders an SVG line using `d3.line` with `d3.scaleTime` and `d3.scaleLinear` axes. It demonstrates D3 v6 event handling, data filtering, and dynamic SVG updates.

LLakshmi Keerthi

71% match