Bar Graph Vizualization

Fork of Bar Graph Visualization

This bar chart displays the distribution of CSS color specifications across different levels, counting how many colors exist for each level. The visualization uses D3.js v7 to load a CSV file via `d3.csv`, aggregate the data with `d3.rollup`, and render an SVG bar chart using `d3.scaleBand` and `d3.scaleLinear`. Bars are drawn as SVG rectangles that turn orange on hover, with axes generated by `d3.axisBottom` and `d3.axisLeft`. The x-axis labels are rotated for readability, and the y-axis shows the number of colors per level.

92% match

Fork of Bar Graph Visualization

92% match

Bar chart with D3.js

This bar chart visualizes the distribution of colors in a sample dataset, with each bar representing a color percentage and labeled with its value. The D3.js v5 example uses an SVG rendering approach with interactive hover effects that highlight the selected bar, display a red dashed threshold line, and show divergence percentages between the hovered color and others. Built with `d3.scaleBand` and `d3.scaleLinear` for axes, the chart includes grid lines, a title, and axis labels, with animations driven by `transition` for bar highlighting and opacity changes on mouse events.

GGogineni44

82% match

SSathviKankanala@my.unt.edu

BarGraph

This bar chart visualizes categorical data with vertical bars, colored in a gradient from blue to red. It is built using the D3.js library, specifically `d3.scale` for the color gradient and `d3.layout` for bar positioning. The chart initializes with a fade-in animation, and bars scale from the bottom axis upon rendering. The data is embedded directly in the JavaScript code as a static array, with no external source.

79% match

Fork of My CSS Color Scatter Plot

This scatter plot visualizes CSS color specifications, mapping each named color’s CSS level (1 through 4) on the x-axis against its computed luminance (brightness) on the y-axis. Each circle is filled with its corresponding hex value, revealing how brightness varies across specification releases. The code uses d3.csv to load color data from a GitHub gist, then applies d3.scaleLinear for both axes, d3.axisBottom and d3.axisLeft for ticks, and SVG circles with custom hex-to-luminance conversion. The chart also rotates x-axis labels and includes axis titles for readability.

Fork of My CSS Color Scatter Plot

Color in Data Visualization

This gallery example visualizes five fundamental color-scale patterns—sequential, diverging, categorical, highlight, and alert—through a grid of annotated mini bar charts. Each pattern shows how color encodes quantitative or categorical data, using palettes like blues for sequential, diverging browns and greens, and gray tints with accent colors for highlighting. The D3 v7 code uses `scaleLinear` and `scaleBand` to compute bar heights, while custom wrapping logic measures text via `getComputedTextLength`. The layout is fixed with responsive container sizing, and the visualization is based on concepts from "The Big Book of Dashboards."

CCurran Kelleher

Bar Graph

This bar graph displays five categorical values (ranging from 10 to 30) as steelblue rectangles. Built with D3 v7, the visualization uses `d3.scaleBand` to position categories along the x-axis and `d3.scaleLinear` for the y-axis, with coordinates mapped to 400-by-300-pixel SVG dimensions. The code renders axes using `d3.axisBottom` and `d3.axisLeft`, drawing the chart into an HTML container.

SSriyaI