pie chart

Mmadipadiga.raviteja@gmail.com

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()`.

92% match

Pie Chart

This visualization displays a pie chart of the top 10 countries by air pollution-related deaths in 2020, with each slice labeled with the death count in thousands and a corresponding color-coded legend. The chart is rendered as static SVG using D3 v5, leveraging the `pie`, `arc`, and `scaleOrdinal` functions from the `d3` module to compute slice geometry and assign colors. Data is loaded from a CSV file via `d3.csv` from a GitHub gist, and the total death count is calculated but not used in the display.

Kkranthireddyskr

91% match

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.

Pie chart Visualization

This pie chart visualizes the top 10 countries by deaths in 2020 attributed to air pollution, using a dataset fetched from a GitHub gist via the d3.csv API. Each slice is colored using d3.scaleOrdinal, with the country and death count displayed directly on the chart and in a legend. The code generates SVG arcs with d3.arc and d3.pie, centering the chart within a fixed 960x500 SVG canvas. Death values are formatted in thousands (e.g., “123K”) using d3.format.

DDanthalakirankumar