DV-q1

DV TAK-9&10

This example shows a pie chart of music genres based on the “below 5.0” column from a CSV file hosted on GitHub. Each genre is represented as a colored slice with a white stroke, and a matching legend lists the genre labels beside the chart. The code uses d3.csv to load the data, then applies d3.pie and d3.arc to generate the segment shapes, with d3.scaleOrdinal and d3.schemeCategory10 determining the fill colors. The SVG is rendered inside a dedicated container, and the legend is built with HTML divs styled via CSS.

89% match

DV TAK-9&10

89% match

Fork of DV TAK-9&10

This example shows a pie chart of movie genres and their associated metric, using a CSV file fetched via `d3.csv` that stores each genre with a value from a column titled "below 5.0". It displays proportional arcs for each segment, colored with `d3.scaleOrdinal` and `d3.schemeCategory10`, plus a color-coded legend listing every genre. The chart is built with `d3.pie` and `d3.arc` in an SVG container, with white strokes separating the slices. The layout pairs the pie with a legend on the right, both rendered in plain HTML and SVG.

84% match

dataq1

This example displays six small pie charts, one for each movie genre, showing the proportion of ratings across five categories from "Below 5.0" to "Above 8.5." The charts are arranged vertically within a single SVG, with each genre’s chart positioned using a translated group. The code builds the visualization with D3.js v6, using `d3.pie()` to compute arc angles, `d3.arc()` to generate SVG path data, and `d3.scaleOrdinal()` with `d3.schemeCategory10` for coloring rating categories. A legend identifies the color mapping for each rating range.

Pp99vijaya@gmail.com

piechart

This visualization displays the genre distribution of Spotify’s Top 50 songs as a pie chart, with percentage labels on each slice and a color-coded legend. It loads CSV data via `d3.csv`, aggregates counts with `d3.rollup`, and renders SVG paths using `d3.pie` and `d3.arc`. The chart applies a Tableau10 color scheme from `d3.scaleOrdinal` and positions text labels at arc centroids.

Sshivadeclare2@gmail.com

TASK-9&10

This D3.js v7 pie chart visualizes the distribution of genres based on the "below 5.0" column from a CSV file hosted on GitHub. A static SVG chart is generated using `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` with a category color scheme, depicting each genre as a colored segment. A custom HTML legend, built via `d3.select` and `append`, displays the genre names alongside matching color swatches, with the chart and legend appearing side-by-side within a centered container. The visualization highlights data proportions, using white stroke and a 2-pixel outline to separate the segments.

TAK-9&10

This D3.js v7 pie chart visualizes the distribution of genres based on the "below 5.0" column from a CSV data source. The visualization renders an SVG pie chart with 300x300 dimensions, using `d3.pie` to compute arc segments and `d3.arc` for path generation, with an ordinal color scale (`d3.scaleOrdinal`) applying a categorical color scheme. A custom legend is built dynamically, displaying each genre with a corresponding color swatch, while the chart itself includes white stroke separators between segments.

TAK-9&10