Skip to main content
SimilarExport ZIP
100%

Activity 7 question 1

✓ Published1🌍 Public
JJayanth Reddy Sripathi
Last edited Nov 7, 2024
Created on Nov 7, 2024

This example shows a population pie chart for ten countries in 2019, using colored slices with percentage labels and a legend. Data is loaded from a CSV file via the `d3.csv` function. The visualization is built with React and rendered as SVG using D3 version 5 components, including `d3.pie` and `d3.arc` for generating the slices, and `d3.format` for percentage labels, while the chart is drawn inside a `<div>` element.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

activity7_question1

This example shows a pie chart comparing the population of the top ten countries, with each slice labeled by its percentage of the total and accompanied by a color-coded legend. The chart is built using React and SVG, with D3 v5 handling the pie geometry and layout. The code uses `d3.arc` to generate the pie slices, `d3.schemeCategory10` for colors, and `d3.format` for percentage labels. Data is loaded from a remote CSV file via `d3.csv` and processed in the `useData` hook.

JJayanth Reddy Sripathi
93% 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
87% match
Loading thumbnail…

Activity - 7_Question - 1

This pie chart displays population distribution across continents, with each slice labeled and a matching color-coded legend positioned to the right. The visualization loads CSV data from a GitHub-hosted dataset using `d3.csv`, parses the population values, and renders the chart as SVG. It uses `d3.pie()` to compute arc angles, `d3.arc()` to generate the slice paths, and `scaleOrdinal` to assign categorical colors. The chart includes a bold title and centers the pie within a 600x400 SVG element.

Mmalisettisaisumanth@gmail.com
86% match
Loading thumbnail…

Activity 7.1 Question 1

This pie chart displays literacy rates for 10 countries, with each slice labeled by its rate divided by 1000 and suffixed with "K," alongside a legend mapping colors to country names. The visualization uses D3 v5’s `pie` and `arc` generators to compute and draw the SVG paths, with `scaleOrdinal` assigning colors from a hardcoded array. Data is loaded asynchronously via `d3.csv` from a GitHub-hosted CSV file, and slice labels are positioned using the arc generator’s `centroid` method. The chart includes both slice text and a separate legend group, with formatted numbers via `d3.format`.

UUday Vandanapu
86% 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
85% 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
85% match
Loading thumbnail…

Activity 7 Tutorial 1 - Question 1

This interactive D3 pie chart visualizes the percentage distribution of US population by state, displaying slices with distinct colors and a scrollable legend for identification. The code loads data from a remote CSV file using `d3.csv`, converts the percentage values to numbers, and uses `d3.pie()` and `d3.arc()` to generate the chart geometry. A `d3.scaleOrdinal` with `d3.schemeCategory10` assigns colors to each state, while SVG text elements render the title and legend labels.

RRishithaGarnepudi@my.unt.edu
84% match
Loading thumbnail…

Activity 7 Question 1

This visualization shows a pie chart of fruit quantities, with each slice labeled by fruit name and a color-coded legend on the left. It uses D3 v7 to load CSV data from a GitHub gist, calculating the arc paths with `d3.pie` and `d3.arc`. The chart includes fake X and Y axis labels for display, and text elements are positioned using `arc.centroid`. Colors come from `d3.scaleOrdinal` with `schemeCategory10`.

MMahimaChowdaryKasthala@my.unt.edu
84% match