ICE - 7 Pie Chart .

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

98% match

ICE - 7 Pie Chart

This example shows the top 10 countries by deaths attributed to air pollution in 2020, using a pie chart with labeled segments and a legend. It uses d3.csv to load the data and d3.pie and d3.arc to generate the chart’s paths, with d3.scaleOrdinal assigning fixed colors. Each slice displays its value in thousands, and the legend lists country names and corresponding figures. The visualization is rendered as SVG, with patterns drawn using d3.arc’s centroid for label placement.

Ssowmyanagula@my.unt.edu

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.

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

A pie chart visualizes the top 10 countries by deaths from air pollution in 2020. Each slice’s size corresponds to the death count, with labels showing values in thousands. The visualization uses D3.js (v5) to fetch CSV data, compute pie arcs, and render an SVG. It employs `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` for coloring, alongside custom legend rendering with rectangles and text.

SShishiraRudrabhatla

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

Cchalasanigayaetiri@gmail.com

ICE- 7 pie chart

This pie chart displays the top 10 countries with the highest deaths from air pollution in 2020, with each slice labeled with the death count in thousands. The visualization uses d3.pie and d3.arc to generate the sectors, and d3.format to abbreviate the numbers. Data is loaded asynchronously from a CSV file via d3.csv, and the SVG is rendered using predefined colors for each section.