Fork of Fork of ICE 7 Pie Chart

Fork of Fork of ICE 7 Pie Chart

This visualization shows the top 10 car-producing countries in the world based on their 2019 total production values, displayed as a pie chart with a color-coded legend. The chart uses D3 v5’s `pie()` and `arc()` functions to generate the SVG segments, with each country’s production value formatted as a label. Data is loaded from a CSV file via `d3.csv`, and colors are assigned using `scaleOrdinal`. The legend includes circles, country names, and production totals, all positioned with SVG transforms.

Yyaswanthsen

Fork of Fork of Fork of ICE 7 Pie Chart

This example visualizes the top 10 car-producing countries in 2019 as a pie chart, with each slice sized proportionally to total production value. The chart renders in SVG using D3 v5’s `pie()`, `arc()`, and `scaleOrdinal` to generate segments and assign colors, while a legend lists country names and production totals formatted with `d3.format`. Data is loaded asynchronously from a CSV file via `d3.csv`, and the visualization is centered in an HTML page styled with CSS.

Ppremsaiv

Fork of Fork of Fork of Fork of ICE 7 Pie Chart

This visualization displays the top 10 car-producing countries using a D3 pie chart, with each slice sized by 2019 production values. The chart includes a legend that pairs country names with their corresponding production totals in thousands. The code imports CSV data via `d3.csv`, processes it with `d3.pie`, and renders SVG paths using `d3.arc`. Colors are assigned through `d3.scaleOrdinal`, and all title content is formatted with `d3.format`.

Ppremsaiv

Fork of ICE7

This pie chart displays the top 10 car-producing countries in 2019, with each slice sized by total production value and labeled in a legend showing country names and quantities in thousands. The visualization uses D3 v5’s `pie()` and `arc()` generators to compute and draw the SVG paths, with `scaleOrdinal()` assigning a distinct color to each segment. Data is loaded asynchronously from a CSV hosted on GitHub Gist via `d3.csv`, and the legend is manually constructed with appended circles and text elements, with values formatted using `format()`.

PPujitha14challagulla

Fork of Fork of ICE 7 Pie Chart

This pie chart visualizes the top 10 car-producing countries in the world based on 2019 data. It displays the total production value for each country as a proportional slice, with a legend identifying each country by name and value. The chart uses D3.v5’s `pie`, `arc`, and `scaleOrdinal` APIs to compute and render the SVG segments. Data is loaded from a CSV file via `d3.csv`, and the chart is positioned using `svg.append` with a translate transform. Colors are assigned from a custom range, and legend values are formatted using `d3.format`.

Bbindhureddy98

Fork of ICE 7 Pie Chart

This pie chart shows the top 10 car-producing countries in 2019, with each slice sized by total production value and a legend listing country names alongside their numerical values. The visualization is built with D3.js v5 and rendered as SVG, using `d3.pie()` and `d3.arc()` to generate the chart geometry, while `d3.scaleOrdinal` assigns a distinct color to each slice. Data is loaded from a CSV via `d3.csv` and processed in the `run` function. The chart is positioned with fixed translation coordinates, and legend circles and text are appended programmatically to the SVG.

Ssaiteja0725

Fork of Fork of ICE 7 Pie Chart

This visualization shows the top 10 car-producing countries in the world based on 2019 values, displayed as a pie chart with a color-coded legend. It loads CSV data from a GitHub gist using d3.csv, then computes each country’s total value from the 2019 column. Using d3.pie and d3.arc, it generates SVG path segments, while d3.scaleOrdinal assigns colors. The legend, built with appended SVG circles and text, labels each country and its formatted value (in thousands). The chart is rendered entirely as SVG within a 960×500 viewport.

DDivyaVellanki

Fork of ICE 7 Pie Chart

This pie chart displays the top 10 car-producing countries by their 2019 total values, using a color-coded legend with country names and abbreviated figures. The visualization loads CSV data from a GitHub gist via `d3.csv`, then calculates totals and renders an SVG pie using `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` for color mapping. Legends are manually positioned with appended circles and text elements, and values are formatted using `d3.format` with a "K" suffix.

Bbindhureddy98