Pie chart Visualization

Pie chart

This pie chart displays the top 10 countries by population in 2022. It uses d3.js and is rendered as an SVG. The code fetches data from a CSV file and utilizes d3.pie, d3.arc, and d3.scaleOrdinal to generate the chart. Each segment is labeled with its population value, and a legend on the right lists the countries with their corresponding colors and population figures.

Ppavankalyan1507

Fork 2 of Pie chart

This visualization displays a pie chart of the top 10 countries by population in 2022, with each slice labeled with its population value in thousands and accompanied by a color-coded legend showing country names and corresponding figures. It uses d3.csv to load population data from a gist URL, then constructs the chart with d3.pie, d3.arc, and d3.scaleOrdinal. The rendering relies on SVG elements generated through D3 v5 selection and data-join methods, with colors, text labels, and legend items all created inside a single SVG canvas.

Ppavankalyan1507

Pie chart

This pie chart displays the top 10 most populous countries in 2022, with each slice labeled by population count and a color-coded legend listing country names and values. The visualization uses D3 v5’s `pie` and `arc` generators to compute and draw SVG paths, while `scaleOrdinal` assigns colors from a hardcoded array. Population data is loaded from a CSV via `d3.csv`, formatted with `d3.format`, and rendered on a yellow background with text labels positioned using `arc.centroid`.

Ssaivinay143

Fork of Pie chart

This visualization uses a D3 pie chart to display the top 10 countries by population in 2022. The code fetches data from a GitHub-hosted CSV file and renders the chart as SVG. Each slice is labeled with its population value in thousands, and a legend on the right side pairs country names with their corresponding values and color swatches. The chart uses D3’s `pie()`, `arc()`, and `scaleOrdinal()` APIs to compute slice angles, generate arc paths, and assign colors, respectively.

Ppavankalyan1507

ICE7 Pie Chart

This pie chart visualizes the populations of ten Indian states in 2000, with each slice’s area proportional to its population value and a legend mapping colors to state names and exact counts. Built with D3 v5, it loads JSON data via `d3.json`, arranges arcs using `d3.pie()` and `d3.arc()`, and assigns categorical colors through `d3.scaleOrdinal` with `d3.schemeCategory10`. The SVG rendering includes text labels formatted with `d3.format`, while the legend is manually constructed using appended rectangles and text elements.

Ssowmyanagula@my.unt.edu

VVenkata Rajashekar Reddy Chinthala

Fork of Fork of Pie_chart_Us_states_density

This example renders a pie chart of the top 10 U.S. states by population density, using D3.js v5 with SVG elements. The visualization presents each state as a colored slice, with a legend listing state names and density values in thousands. The code loads CSV data from a GitHub gist via `d3.csv`, then applies the `d3.pie` layout and `d3.arc` to generate the chart, while `d3.scaleOrdinal` assigns a distinct color palette and `d3.format` styles the density labels.

Fork of Pie chart

A pie chart displays the top 10 countries by population in 2022, with each slice labeled in thousands and accompanied by a legend showing country names and values. The chart uses D3 v5 to load CSV data via `d3.csv`, compute slice angles with `d3.pie`, and generate SVG paths with `d3.arc`. A `d3.scaleOrdinal` maps population values to a preset color array. Text labels are positioned using the arc centroid, while the legend is built with appended rectangles and text elements.

MMalempatiSaranya

Fork of ICE - 7 Pie Chart Maanas Katta

This pie chart visualizes the top 10 most populated U.S. states, with each slice labeled by its population in thousands and accompanied by a color-coded legend. Built with D3 v5, the code fetches CSV data via `d3.csv`, computes slice angles with `d3.pie`, draws arcs with `d3.arc`, and maps colors using `d3.scaleOrdinal`. Labels are positioned at each slice’s centroid, while the legend separately lists state names and values using SVG `rect` and `text` elements.

Ggayathri