ICE7-2VarshaG

ICE-7-2 PIE CHART

This pie chart visualizes COVID-19 death statistics across seven U.S. states, with each slice labeled by state name and value. The chart uses D3.js v4’s `d3.pie` and `d3.arc` to generate SVG paths, with categorical colors via `d3.scaleOrdinal`. Hovering over a slice reduces the opacity of other slices and displays a tooltip showing the state and its corresponding death count. The visualization includes an interactive legend and is rendered entirely in SVG, with styling applied through CSS classes.

HHARSHA BUDDANA

88% match

ICE - 7 Pie Chart

This example visualizes the distribution of COVID-19 deaths across U.S. states as a pie chart, with each slice colored and paired with a legend showing the state name and its corresponding percentage of total deaths. The data is loaded from a CSV file hosted on GitHub, parsed with `d3.csv`, and the chart is rendered as SVG using D3 v5’s `pie`, `arc`, and `scaleOrdinal` functions. The legend, built with appended SVG groups and rectangles, includes formatted percentage values using `d3.format`.

88% match

ICE - 7 Pie Chart

This pie chart visualizes COVID-19 death percentages across U.S. states, with each slice colored by a categorical scale and labeled through a legend with state names and values. The chart uses d3.pie and d3.arc to generate SVG paths from a CSV dataset, while d3.scaleOrdinal assigns section colors. The legend, rendered with SVG rectangles and text, displays state names and percentage values formatted with d3.format. The code fetches data via a Gist URL using d3.csv and renders all elements synchronously in an SVG container.

87% match

ICE-7 PIE CHART - Manasa

This pie chart visualizes COVID death statistics across seven US states, with each slice’s size proportional to the reported death value. The chart uses SVG rendering with D3 v4, employing `d3.pie()` and `d3.arc()` to generate the geometric paths, while `d3.scaleOrdinal` assigns categorical colors. Hovering over a slice triggers interactive mouseover events that display a tooltip with the state name and value, and adjusts slice opacity to highlight the selected segment.

MManasa891-git

86% match

Pie Chart

This pie chart visualizes mortality rates across U.S. states, with each slice sized by the number of deaths and labeled with a value. The chart is rendered as an SVG using D3 v5, employing `d3.pie` and `d3.arc` to generate the segments and centroids for text placement. A legend on the right maps each color to its state and death count, with data fetched from a CSV via `d3.csv`. The visualization uses a custom color scale (`scaleOrdinal`) and formats death numbers with `d3.format`.

Ttarungunda

ICE-7 PIE CHART

This example visualizes COVID death percentages across U.S. states using an interactive pie chart built with D3 v4 in a React framework. The chart displays seven state values as colored wedges, with a custom tooltip that appears on mouseover showing the state name and its corresponding percentage, while the SVG-rendered arcs respond to hover by adjusting opacity. The code implements hover and touch interactions using D3 event handlers, and includes a legend generated from the same data array.

ICE - 7 Pie Chart

This example shows the number of deaths by country using a pie chart, with each slice representing a country's share of total deaths from a CSV dataset of states. It displays a legend listing each country alongside its corresponding death count formatted with a "K" suffix (e.g., 1.2K). Built with D3 v5, the code fetches data from a GitHub Gist and uses `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` to compute and render the SVG slices and legend. The chart is drawn with an inner radius of zero and an outer radius of 175 pixels.

Ssowmyanagula@my.unt.edu

ICE-7 PIE CHART

This interactive donut chart visualizes the distribution of COVID-19 deaths across several US states, with each state's value represented as a proportion of the whole. Built with React and D3 v4, it renders SVG paths using `d3.arc` and `d3.pie` to create the ring, while a hover interaction, implemented with `d3.select` and mouse events, highlights a slice and displays a tooltip with the state name and value. A separate legend built from the same data array lists each category, using `d3.scaleOrdinal` with `d3.schemeCategory10` to assign colors consistently.