Skip to main content
SimilarExport ZIP
100%

Question1

✓ Published0🌍 Public
Ssailalith2000@gmail.com
Last edited Apr 10, 2025
Created on Apr 10, 2025
Forked from Hello VizHub

This example shows the distribution of Eurovision Song Contest winners by country from 2000 to 2022, using a pie chart with a legend displaying each country’s win count. The visualization loads CSV data from a GitHub gist, counts wins per country, and renders the chart with D3 v7’s `d3.pie` and `d3.arc` generators. SVG paths are colored via `d3.scaleOrdinal` with the `schemeCategory10` palette, while labels are positioned at arc centroids using `arc.centroid`. A legend is appended as SVG groups with rectangles and text.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

question1act7

This example shows the distribution of Olympic medals by country using a pie chart, where each slice represents a country’s total medal count (Gold, Silver, and Bronze). The visualization uses d3.pie and d3.arc to compute and draw the chart, with d3.scaleOrdinal and d3.schemeCategory10 assigning distinct colors to each segment. A legend is appended using SVG rectangles and text, while the data is fetched from a CSV URL via d3.csv. The SVG canvas is 960 by 500 pixels, and the chart is centered within it.

Ggalijawaharnath@gmail.com
77% match
Loading thumbnail…

act 7 q1

This example displays a pie chart of the top 10 countries by 2022 population, with a legend alongside the slices. It uses D3.js v7 APIs including `d3.csv`, `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` to load and process the dataset, generate the pie geometry, and assign categorical colors. The chart is rendered as SVG with text labels positioned via arc centroids, while a legend is built manually with `rect` and `text` elements. Data comes from a CSV hosted on GitHub.

Vvinaykollapudi@my.unt.edu
74% match
Loading thumbnail…

question 1

This example shows a pie chart of population data for ten countries, drawn as SVG arcs with percentage labels and a legend. The visualization is built using React and D3 version 5, leveraging the `pie` and `arc` functions to compute arc segments and `schemeCategory10` for color encoding. Data is loaded from a remote CSV file using `d3.csv`, with population values scaled by ten, and labels are formatted as percentages. The chart includes axis labels, although the implementation mixes pie and bar chart styling, creating a hybrid visual.

Nneerajreddyaluka@gmail.com
74% match
Loading thumbnail…

Question 1

This pie chart visualizes fruit sales data, displaying the proportional share of each fruit category as a labeled slice with a corresponding legend. The chart is rendered as an SVG using D3 version 7, with the pie generator `d3.pie()` and arc generator `d3.arc()` calculating angular extents and centroids for labels. Data is loaded via `d3.csv` from a remote Gist, and the color scale `d3.scaleOrdinal` with `d3.schemeSet2` assigns categorical colors. The legend is built using `d3.select` and `enter()`, while sales values are cast to numeric type before creating the pie layout.

Tthokalarohith83@gmail.com
73% match
Loading thumbnail…

Assignment2_1

This example shows the population distribution of countries as a pie chart, with each slice labeled by country in a legend beside the chart. The visualization uses D3 v7 to load CSV data from a GitHub gist, compute pie angles with `d3.pie`, and render slices using `d3.arc` into SVG paths. A tooltip, implemented with HTML overlays, displays the country name and population on hover. Colors are assigned via `d3.scaleOrdinal` with `d3.schemeCategory10`.

MManishaBoppa@my.unt.edu
73% match
Loading thumbnail…

1

This example shows a pie chart of country populations, with each slice labeled by country name and a legend mapping colors to countries. Hovering over a slice’s label displays a tooltip with the population (formatted with commas) and literacy rate. Built with D3 v7, the visualization uses `d3.pie()` and `d3.arc()` to generate SVG paths, while data is loaded via `d3.csv()` from a GitHub gist. The tooltip is manually shown and hidden through D3 selection and style updates, and colors come from `d3.schemeSet3`.

Ssindhuja27b@gmail.com
73% match
Loading thumbnail…

Question1

This pie chart visualizes the sales quantities of electronics item categories for 2022, with each slice labeled directly and a legend detailing category names and quantities. The visualization is built using D3.js v7 with SVG rendering, employing the `d3.pie()` generator and `d3.arc()` to create the chart, while `d3.scaleOrdinal` with `schemeCategory10` assigns colors. Data is fetched from a remote CSV file hosted on GitHub Gists and parsed manually. Arcs and labels are positioned using centroid calculations, with a flexbox layout placing the legend to the right.

Tthakurnikhitha4@gmail.com
73% 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
73% match