Fork of Fork of ICE - 7 Pie Chart Maanas Katta

Fork of ICE - 7 Pie Chart Maanas Katta

This visualization presents a pie chart of the top 10 countries by deaths in 2020 attributed to air pollution, with each slice labeled with the death count in thousands and accompanied by a legend listing country names and values. The chart uses d3.pie and d3.arc to generate the slices, with d3.scaleOrdinal assigning a fixed set of colors to the data. Data is loaded asynchronously via d3.csv from a gist URL, and the SVG is rendered with D3 v5. Text labels are positioned using the arc generator’s centroid method.

DDonald Bagwell

Fork of Fork of ICE - 7 Pie Chart Maanas Katta

This visualization displays the top 10 countries by deaths from air pollution in 2020, using a pie chart where each slice represents a country’s death count. The chart is rendered as an SVG using D3 v5, with data fetched from a CSV URL. The code uses `d3.pie` and `d3.arc` to generate the slices, while `d3.scaleOrdinal` assigns colors. Text labels show death counts in thousands, and a legend lists each country with its corresponding color and value.

Llikith1266

Fork of ICE - 7 Pie Chart Maanas Katta

This pie chart visualizes the top 10 countries by deaths from air pollution in 2020, with each slice labeled with its death count in thousands. The chart uses d3.pie and d3.arc to generate segments, while d3.scaleOrdinal assigns colors from a hardcoded array. A legend on the right lists each country with a color swatch and corresponding value. Data is fetched as CSV from a GitHub gist using d3.csv, and all elements are rendered as SVG.

Vvarun-030

Fork of ICE - 7 Pie Chart Maanas Katta

A pie chart displays the top 10 countries by deaths in 2020 from air pollution, with each slice colored and labeled with the death count in thousands. The chart uses d3.pie and d3.arc to generate segments, and d3.scaleOrdinal assigns colors from a predefined array. Legend entries pair country names with values. Data is loaded as CSV from a GitHub gist, and d3.format is used to abbreviate numbers. The SVG renders text labels via arc.centroid, with static sizing rather than animation.

NNikitha123171

Fork of ICE - 7 Pie Chart Maanas Katta

This pie chart visualizes the top 10 countries by deaths from air pollution in 2020, with each slice labeled with its death count in thousands and a corresponding legend listing country names and values. The visualization uses d3.csv to load data from a GitHub gist, then applies d3.pie, d3.arc, and d3.scaleOrdinal with hardcoded colors to generate the SVG paths and text labels. Legends are manually positioned within the SVG using d3 selectors and attribute transforms, while d3.format formats the numeric labels.

AArv1228

Fork of Fork of ICE - 7 Pie Chart Maanas Katta

This visualization shows a pie chart of the top 10 countries by deaths from air pollution in 2020. Each slice is labeled with its death count in thousands, and a legend lists each country with its corresponding value and color. The chart uses d3.pie and d3.arc for slice generation, with d3.scaleOrdinal for colors. Data is loaded as CSV via d3.csv and rendered to SVG elements.

RRadhakrishna246

Fork of Fork of ICE - 7 Pie Chart Maanas Katta

This pie chart visualizes the top 10 countries by deaths in 2020 due to air pollution, using data from a CSV file fetched from a GitHub gist. Each slice’s angle and color encode the death count, with labels showing values in thousands, and a legend listing countries and their figures. Built with D3 v5, the code uses `pie`, `arc`, `scaleOrdinal`, and `svg.append` to render the chart, drawing paths, text, and legend elements as SVG. The color scheme assigns distinct hues to each country via a hardcoded array.

Sspandhanabadekol

Fork of ICE - 7 Pie Chart Maanas Katta

This pie chart visualizes the top 10 countries by deaths attributed to air pollution in 2020. It uses d3.pie and d3.arc to generate the chart segments, with d3.scaleOrdinal assigning colors from a predefined array. The chart displays death counts in thousands on each slice and includes a legend listing country names and values. Data is loaded asynchronously via d3.csv from a GitHub gist, and the SVG is rendered with D3 v5.

SSohilaBheemReddy