Pie chart-ICE7

ice 7 pie chart

A pie chart displays the distribution of website traffic by traffic source, with each slice labeled by source name and visitor count in parentheses. The code fetches a CSV file from a GitHub gist, parses the data, and renders the visualization using Chart.js on an HTML canvas element. Twelve predefined semi-transparent colors differentiate the slices, and the legend is positioned on the right side with a title indicating visitors are measured in thousands.

83% match

ice 7 pie chart

This pie chart visualizes the distribution of website traffic by source, with visitor counts in thousands. It fetches data from a CSV file hosted on GitHub and renders the chart using Chart.js on an HTML canvas element. The chart displays twelve labeled categories with distinct translucent colors and a legend positioned on the right side. The code retrieves the data asynchronously via the `fetch` API, parses the CSV rows, and configures the pie chart with responsive settings and a descriptive title.

83% match

Ttrivikramcheluri@gmail.com

ICE7-PIE

This pie chart visualizes the top 10 states' weather conditions in 2020, displaying categorical data as proportional segments with bold, comma-formatted value labels and a legend on the right. Built with Chart.js and the chartjs-plugin-datalabels on a Canvas, it fetches CSV data from a GitHub gist and renders a responsive, titled chart with color-coded slices and hover offsets.

82% match

Fork of pie

A pie chart displays museum visitor counts for seven sampled years between 1990 and 2017, with each slice labeled by year and colored distinctly. The chart.js library renders the visualization onto an HTML canvas element, using its `Chart` constructor with a pie-type configuration. Data is embedded directly in JavaScript as an array of objects, with visitors measured in millions; white borders and a right-positioned legend separate the slices.

Ssravya7136@gmail.com

Pie chart

This pie chart visualizes the top 10 countries by tourist visits, with each slice labeled with its value in thousands. The chart renders as an SVG using D3 v5, employing `d3.pie` to compute arc angles and `d3.arc` to generate the path segments. Slice colors come from a `scaleOrdinal` mapping, and a legend lists each country with its corresponding color and value. Data is fetched as CSV from a GitHub gist, with tourist counts formatted using `d3.format` for concise display.

Ssandeep-gollamudi

pie chart ice 7

This pie chart visualization displays website traffic by source, measured in thousands of visitors, with each slice labeled directly on the chart and accompanied by a color-coded legend. The code uses D3 version 6, specifically the `d3.pie()` layout function, `d3.arc()` for defining the pie geometry, and `d3.scaleOrdinal` with `d3.schemeCategory10` for categorical coloring. Data is loaded asynchronously from a raw GitHub Gist CSV file via `d3.csv()`, with each visitor value converted to a number before being passed to the pie layout. The visualization renders as SVG, with arcs drawn using `path` elements and centroid-based text labels, while the legend is constructed separately using `rect` and `text` elements positioned on the right side of the chart.

Ice 7 pie chart

This pie chart displays the distribution of website traffic by source, with each slice sized according to the number of visitors and a legend positioned on the right. It loads data from a CSV file using `d3.csv` from the D3 v7 library, then renders the chart on a Canvas element via the external Chart.js library, not through D3’s own rendering APIs. The chart uses a predefined color palette for the slices and includes a title indicating traffic values are in thousands.

Fork of ice 7 pie chart

This pie chart shows the distribution of website traffic by source, displaying each source name next to its visitor count in the legend. The chart is rendered on an HTML5 Canvas using Chart.js, which fetches its data from a remote CSV file hosted as a GitHub Gist. The dataset includes visitor counts per source, and the JavaScript code parses the CSV and creates a pie chart with a semi-transparent color palette and a legend positioned on the right.