ic_7 pie chart

ice7 pie chart

This pie chart visualizes the top 10 countries by deaths from air pollution in 2020, with each slice labeled with its value in thousands and accompanied by a legend listing country names and corresponding figures. The visualization uses D3.js v5 with an SVG rendering, employing the `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` APIs to generate the chart from CSV data fetched via `d3.csv`. The code maps death counts to a categorical color scheme and appends text labels and legend elements directly to the SVG.

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pie chart

This pie chart visualizes the top 10 countries by deaths from air pollution in 2022, with each slice’s area proportional to the death count. The chart renders as a circular SVG with labeled slices and a legend listing each country alongside its corresponding death figure. The code uses D3 v5 APIs including `pie()`, `arc()`, and `scaleOrdinal()` to generate and color the slices, while data is loaded from a CSV via the `csv` function. Death values are formatted in thousands (e.g., “150K”) using `format()`, and both slice labels and legend values are positioned using `arcGenerator.centroid()`.

Pie_Chart_ICE_7

This pie chart visualizes the top 10 countries by deaths from air pollution in 2020, with each slice labeled with its value in thousands. The chart uses d3.pie and d3.arc to generate the segments, d3.scaleOrdinal for coloring, and includes a legend with country names and death counts. Data is loaded from a CSV file via d3.csv, and labels are positioned using the arc centroid method. The visualization is rendered as SVG with D3 v5, displaying both the graphical slices and textual annotations.

Pie_Chart_ICE_7

This pie chart visualizes the top 10 countries by deaths from air pollution in 2020, with each slice labeled with its value in thousands. The chart uses d3.pie and d3.arc to generate the segments, d3.scaleOrdinal for coloring, and includes a legend with country names and death counts. Data is loaded from a CSV file via d3.csv, and labels are positioned using the arc centroid method. The visualization is rendered as SVG with D3 v5, displaying both the graphical slices and textual annotations.

Pie_Chart_ICE_7

This pie chart visualizes the top 10 countries by deaths from air pollution in 2020, with each slice labeled with its value in thousands. The chart uses d3.pie and d3.arc to generate the segments, d3.scaleOrdinal for coloring, and includes a legend with country names and death counts. Data is loaded from a CSV file via d3.csv, and labels are positioned using the arc centroid method. The visualization is rendered as SVG with D3 v5, displaying both the graphical slices and textual annotations.

Pie_Chart_ICE_7

This pie chart visualizes the top 10 countries by deaths from air pollution in 2020, with each slice labeled with its value in thousands. The chart uses d3.pie and d3.arc to generate the segments, d3.scaleOrdinal for coloring, and includes a legend with country names and death counts. Data is loaded from a CSV file via d3.csv, and labels are positioned using the arc centroid method. The visualization is rendered as SVG with D3 v5, displaying both the graphical slices and textual annotations.

Fork of ICE 7 - Pie Chart

This visualization presents a pie chart ranking the top 10 countries by deaths attributed to air pollution in 2020, with each slice labeled in thousands and a matching legend that pairs country names with their death counts. Using D3 v5, the code fetches CSV data via `d3.csv`, computes a pie layout with `d3.pie()`, and draws arcs with `d3.arc()`. Slice colors come from a `d3.scaleOrdinal` palette, and text labels are positioned using the arc generator’s `centroid` method. The SVG rendering includes custom legend groups and formatted tick labels via `d3.format`.

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