A4 Bar Chart in D3

A2 Bar Chart

This A2 Bar Chart visualizes counts of police shooting victims by race, using a logarithmic scale on the y-axis to accommodate wide disparities in the data. The chart loads a CSV from a GitHub gist using p5.js’s `loadTable()` function, aggregates race counts in `preload()`, and renders the bars with `rect()` on a 3000x3000 `createCanvas()`. Axis labels, tick marks, and bar values are drawn with custom mapping logic inside the `draw()` loop.

86% match

A4 Scatter Plot in D3

This interactive D3.js scatter plot visualizes police shootings by age, aggregating individual records from a CSV dataset into counts per age and mapping them on linear scales. Built with D3 v7, the SVG rendering uses `d3.csv` to load data, `d3.rollup` for aggregation, and `d3.scaleLinear`, `axisBottom`, and `axisLeft` from D3’s scale and axis APIs to produce axes. Circles are positioned via `selectAll` and `join`, with margins and window dimensions defining the full-viewport layout. The chart is a fork of a VizHub example, displaying counts of shootings on the y-axis against age.

85% match

A4 Heat Map in D3

This heat map displays the number of police shootings across 20 US cities, using a single row of rectangles colored from white to red to represent low to high incident counts. Built with D3 v7 and React, it reads CSV data from a GitHub gist and uses `d3.rollup` for aggregation, `d3.scaleBand` for horizontal positioning, and `d3.scaleLinear` for the color mapping. The visualization includes a rotated x-axis with city labels and renders entirely as SVG.

85% match

A6 Sequential Color Scale

This visualization shows police shooting counts by race and gender as grouped bar charts, with a sequential red color scale encoding the magnitude of each count. It uses D3 v7 with SVG rendering, loading data from a CSV file. The code aggregates records by race and gender, then employs `d3.scaleBand` for categorical axes, `d3.scaleLinear`, and `d3.scaleSequential` with `d3.interpolateReds` for the color fill. It also includes gender labels and axes styled with CSS.

A5 Bubble Chart D3

This bubble chart visualizes police shootings by age and race, with each circle representing the count of incidents for a specific age and racial category. The x-axis maps age, the y-axis maps the count of shootings, and circle size encodes frequency using a square-root scale so area remains proportional. The chart is built with D3 v7, loading CSV data, aggregating with `d3.rollup`, and rendering SVG circles using scales like `scaleLinear`, `scaleSqrt`, and `scaleOrdinal` with `schemeCategory10` colors. Axes and labels are added via `axisBottom` and `axisLeft`.

A3 Histogram Chart

This visualization displays a histogram of monthly counts of police shootings, revealing temporal patterns in the data. The chart uses React with SVG rendering and D3 v5 APIs, including `d3.bin` for binning dates into monthly intervals, `d3.sum` for aggregating counts, `scaleTime` for the x-axis, and `scaleLinear` for the y-axis. The data comes from a CSV file of police shooting incidents, processed through `d3.csv` and parsed dates via `timeParse`.

A3 Box Plot

This visualization shows the distribution of police shootings per year across racial categories, using box plots to display the minimum, first quartile, median, third quartile, and maximum for each group. The code groups the data by race, then calculates yearly counts and quantiles for each category. It uses React to render the SVG, with d3-scale functions such as `scaleBand` and `scaleLinear` for positioning, and `d3.quantile` for statistical summaries. Data comes from a CSV of police shooting incidents.

A6 Diverging Bar Chart

This diverging bar chart visualizes police shootings by race and gender, with male counts extending left from a central vertical axis and female counts extending right. The chart uses a red-blue diverging color scale, with color intensity corresponding to magnitude. Built with D3 v7, the visualization aggregates CSV data, filters to only male and female records, and uses separate linear scales for each gender to position the bars from the center. Race categories are placed on a band scale along the y-axis, while the diverging color interpolation and axes are constructed using D3’s scale utilities.