ICE - 7 Pie Chart

ICE - 7 Pie Chart

This example visualizes the top 10 countries by deaths from air pollution in 2020 using a pie chart with an accompanying legend. Each slice is labeled with its value in thousands, and the legend pairs country names with their corresponding death counts and color swatches. The chart is built with D3 v5, using the `pie()` and `arc()` generators to create SVG paths, while `scaleOrdinal` maps slice colors. Data is loaded asynchronously via `csv()` from a GitHub gist.

97% match

ICE - 7 Pie Chart

This example displays a pie chart of the top 10 countries by deaths in 2020 attributed to air pollution, with each segment labeled with its value in thousands and a corresponding legend listing country names and death counts. It loads CSV data via `d3.csv` (from a GitHub gist), then uses `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` to generate SVG paths and text elements. The chart is rendered with D3 v5, with styling applied through the `style.css` and inline SVG attributes.

97% match

ICE - 7 Pie Chart

This visualization shows the top 10 countries by deaths from air pollution in 2020, using a pie chart with color-coded slices and a legend listing each country’s death count in thousands. The chart is rendered in SVG using D3 v5, with data fetched as CSV from a GitHub gist. The pie layout is computed via `d3.pie()`, arcs are drawn with `d3.arc()`, and colors are assigned using `scaleOrdinal`. Each slice displays its value in thousands, while the legend explicitly pairs country names with their corresponding death totals.

Nnithish-1999

97% match

ICE - 7 Pie Chart .

This visualization shows the top 10 countries by deaths from air pollution in 2020 using a pie chart with D3.js (v5) and SVG rendering. The pie chart is divided into colored segments, each labeled with the death count, alongside a legend listing country names and corresponding values. The code fetches data from a CSV file hosted on GitHub, loads it using D3’s `csv` function, and renders the chart with `d3.pie`, `d3.arc`, and `scaleOrdinal` for color assignment. Text labels and legend elements are positioned using D3’s arc centroid calculations, and formatting is handled with `d3.format`.

Nnithish-1999

ICE - 7 Pie Chart

This pie chart visualizes the top 10 countries with the highest death counts from air pollution in 2020. A legend on the right, generated using D3’s `scaleOrdinal` for color mapping, identifies each country and its corresponding death toll. The chart uses D3’s `pie` and `arc` functions to compute and draw the SVG segments, with text labels placed at each slice’s centroid. Data is loaded asynchronously from a CSV file using D3’s `csv` function.

ICE - 7 Pie Chart

This pie chart shows the top 10 countries by deaths in 2020 from air pollution, displaying each country’s death count as a labeled slice and an associated legend. The chart uses D3 v5’s `pie` function to compute arc data, `arc` for path generation, and `scaleOrdinal` to assign colors from a hardcoded array. Labels within slices are positioned using `arcGenerator.centroid`, while legends are built manually with appended `<rect>` and `<text>` elements. Data is fetched from a remote CSV via D3’s `csv` method.

ICE - 7 Pie Chart

ICE 7 Pie chart

This pie chart displays the top 10 countries by deaths in 2020 attributed to air pollution, with each slice labeled in thousands and a corresponding legend. The data is loaded from a CSV file using `d3.csv`, and the pie layout is computed with `d3.pie`. Slices are drawn as SVG paths via `d3.arc`, with colors assigned by `d3.scaleOrdinal`. Text labels and legend entries are positioned using the arc centroid method, and numbers are formatted with `d3.format`. The chart is rendered entirely in SVG within a D3 v5 environment.

SSreejaBellamkonda