Skip to main content
SimilarExport ZIP
100%

Activity 7 Pie Chart

✓ Published1🌍 Public
KKhushi Desai
Last edited Nov 4, 2024
Created on Nov 2, 2024
Forked from Hello VizHub

This pie chart visualizes the Happiness Dataset, showing the happiness scores of the top 20 countries with all remaining countries aggregated into an "Others" slice. D3's `pie` and `arc` generators create the SVG slices, while `scaleOrdinal` with `schemeCategory10` assigns colors, and a custom legend is drawn alongside. The data is loaded asynchronously via D3's `csv` method from a GitHub gist, with the `processData` function sorting and aggregating scores before rendering.

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…

ACT_TASK1

This pie chart visualizes the distribution of happiness scores across 20 countries, aggregating all remaining nations into an "Others" slice. Built with D3 v6, it uses `d3.pie` and `d3.arc` to generate the segments, `d3.scaleOrdinal` with `schemeCategory10` for coloring, and a custom legend rendering via `d3.select`. The data is loaded through `d3.csv` from a remote Happiness dataset, processed to highlight the top-scoring countries.

RRevanth putta
91% match
Loading thumbnail…

Act7_Pie

This example displays a pie chart of the top 10 countries by 2022 population, with all remaining countries aggregated into an “Others” slice. Using d3.pie and d3.arc, it generates the chart from CSV data fetched via d3.csv, processes and sorts the dataset, and renders SVG paths with colors from d3.scaleOrdinal and schemeCategory10. A legend is drawn beside the chart using d3.selectAll and attribute transforms.

IIkram Mohammed
83% match
Loading thumbnail…

activity 7

A pie chart displays the top 10 most populous countries in 2022, loading CSV data from a GitHub gist. The code uses D3 v5 modules including `d3.csv`, `d3.pie`, `d3.arc`, `d3.scaleOrdinal`, and `d3.format` to generate SVG paths and text labels showing population values in thousands. A legend with colored rectangles and text identifies each country alongside its population count.

SSathishvepuri143@gmail.com
83% match
Loading thumbnail…

pie chart

This pie chart visualizes the happiness scores of countries in Western Europe from the 2019 World Happiness Report. The visualization uses D3.js version 5 with an SVG rendering approach, employing `d3.pie()` and `d3.arc()` to generate slices, `d3.scaleOrdinal` with `schemeCategory10` for colors, and `arc.centroid` for label placement. Each slice represents a country, with its size proportional to the reported happiness score, while a legend identifies the color coding. The data is loaded directly from a CSV file hosted on GitHub.

Vvedasrivarma13@gmail.com
82% match
Loading thumbnail…

Happiness Report Pie Chart

This pie chart visualizes the distribution of happiness scores across global regions, using data from the 2015 Happiness Report. The chart aggregates scores by region and displays each region as a colored slice with labels. Built with D3 v6, the visualization uses `d3.pie`, `d3.arc`, and `d3.rollup` to process and render the data, while `d3.scaleOrdinal` and `d3.schemeCategory10` assign colors. A legend maps regions to their corresponding hues, and the SVG output includes a clean, styled interface.

Vvenkatamanikantavaddi@my.unt.edu
82% match
Loading thumbnail…

ICE - 7 Pie chart Visualizations

This example visualizes the happiness distribution of the top few countries using a pie chart, with each slice labeled with its percentage and a corresponding legend. The code loads CSV data via d3.csv, computes pie angles with d3.pie, and renders the chart as SVG paths using d3.arc. It applies an ordinal color scale with predefined hex and named colors, and formats the percentage labels using d3.format. The accompanying legend lists each country and its value, with bar rects and text elements styled via CSS classes.

Rrajasrilekkala
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
80% 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
80% match