Skip to main content
SimilarExport ZIP
100%

task_9 question 1

✓ Published0🌍 Public
Bbudalavijay2001@gmail.com
Last edited Apr 21, 2024
Created on Apr 21, 2024
Forked from Hello VizHub

This example displays a pie chart of total COVID-19 cases by country, sourced from a remote CSV file. It uses D3 v6 to load the data via `d3.csv` and generates the chart with `d3.pie` and `d3.arc`, rendering slices as SVG paths. The visualization includes color-coded slices using `d3.schemeCategory10` and a legend with rectangles and text labels. The SVG output is centered and styled with a white background and shadow.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

Similar vizzes

Loading thumbnail…

Task_9 Question 1

This example displays a pie chart visualizing COVID-19 total cases by country, using data loaded from a remote CSV file. It maps each country to a slice with a color from `d3.schemeCategory10`, and positions a legend to the right of the chart. The code leverages D3 v6 modules, including `d3.csv`, `d3.pie`, `d3.arc`, and appends SVG elements dynamically. The chart is rendered into a centered SVG with a white background and subtle shadow, loading the data asynchronously to build the visualization.

Bbudalavijay2001@gmail.com
96% match
Loading thumbnail…

Task9_Question1_PieChart

A pie chart visualizes the number of COVID-19 deaths by region, with each slice labeled with the death count in thousands and a legend mapping colors to regions. The D3 v5 code loads data from a remote CSV using `d3.csv`, computes slice geometry with the `d3.pie` layout and `d3.arc` generator, and colors slices via `d3.scaleOrdinal`. The chart is rendered as SVG, with the title and labels formatted using `d3.format`.

Jjyothirmaijyothi2017@gmail.com
87% match
Loading thumbnail…

Task9_Question1

This visualization displays a pie chart of worldwide COVID-19 cases for 2020, highlighting the top 15 countries by reported case counts. The chart uses a legend with colored rectangles and text labels to identify each country alongside its corresponding number of cases. Built with React and D3 v5, the code employs `d3.csv`, `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` with a `schemeCategory10` color palette to render the SVG-based chart. Data is loaded from a gist-hosted CSV file, sorted descending by case numbers, and sliced to show only the leading countries.

Ssaitejauppu0206@gmail.com
87% match
Loading thumbnail…

task 9_ question 1

This example displays a pie chart that visualizes the distribution of two categorical outcomes, "play" and "noplay", from a weather dataset. The chart is rendered as an SVG using D3.js, with data loaded from a CSV file via `d3.csv()`. It uses D3's `pie()` and `arc()` functions to compute the chart geometry and a `scaleOrdinal()` for color mapping, with a legend added on the right.

Bbudalavijay2001@gmail.com
84% match
Loading thumbnail…

Task9_Question1

A pie chart visualizes the distribution of patient counts by race, with each slice labeled directly and accompanied by a color-coded legend. The chart loads CSV data from a GitHub gist and uses D3 v7 APIs including `d3.rollup` to aggregate counts, `d3.pie` for layout, `d3.arc` for slice geometry, and `scaleOrdinal` with `schemeCategory10` for colors. Labels are positioned using `arcGenerator.centroid`, and the SVG rendering is centered within a 400×400 canvas.

KKeerthi
84% match
Loading thumbnail…

activity7.1_question1

This D3 pie chart visualizes country-wise counts from a remote CSV file, displaying data as color-coded slices with white outlines. Each slice is labeled with its corresponding country name, positioned via the arc centroid. A legend on the right shows each country’s color, name, and numeric value. The chart uses `d3.pie()` and `d3.arc()` for geometry, `d3.scaleOrdinal` with `d3.schemeCategory10` for colors, and renders as SVG with an HTML overlay for styling.

Ssravani1969@gmail.com
82% match
Loading thumbnail…

activity7.1_question1

This D3 pie chart visualizes country-wise counts from a remote CSV file, displaying data as color-coded slices with white outlines. Each slice is labeled with its corresponding country name, positioned via the arc centroid. A legend on the right shows each country’s color, name, and numeric value. The chart uses `d3.pie()` and `d3.arc()` for geometry, `d3.scaleOrdinal` with `d3.schemeCategory10` for colors, and renders as SVG with an HTML overlay for styling.

Ssravani1969@gmail.com
82% match
Loading thumbnail…

Question1_Task9

This D3.js v5 visualization presents a pie chart of the Air Quality Index by country, using SVG rendering. The chart encodes each country's Air_Index value as a pie slice, with colors assigned via the d3.scaleOrdinal and schemeCategory10 color scale, and includes a legend showing country names and their formatted index values. The code loads CSV data from a GitHub gist, converts the Air_Index field to numbers, sorts countries by index, and uses d3.pie and d3.arc to generate the slices. The chart is titled "Air Quality Index by Country."

Vvidiyalasahithi1999@gmail.com
82% match