Test

Test

A bar chart displays counts for three crime categories—attempted theft, petty theft, and grand theft—using a linear y-scale and band x-scale. Bars exceeding half the maximum value are highlighted in red, while the rest use a teal fill. The chart is built with D3 v4, loading data from a CSV via `d3.csv`, rendering SVG rectangles, and adding axes with `d3.axisBottom` and `d3.axisLeft`.

90% match

Test

This example uses a dataset of bicycle-related crimes to render a bar chart in SVG, plotting categories from a CSV file along a band scale against their counts on a linear scale. The chart displays the values from the `numbers.csv` data as vertical bars, with axes positioned on the right and bottom using `d3.axisRight` and `d3.axisBottom`. The visualization is built with D3 v4, using `d3.scaleLinear` for the count axis and `d3.scaleBand` for categorical spacing, all within a single SVG element selected via `d3.select`.

86% match

Test

A bar chart displays count values from a CSV file across a categorical axis. The chart uses D3 v4 to load the data with `d3.csv`, scales the counts with `d3.scaleLinear` and the category positions with `d3.scaleBand`, and renders axes via `d3.axisBottom` and `d3.axisRight`. The SVG plot is positioned with margins, and the code includes calls to `getBoundingClientRect` to determine the available space. The visualization is built as a static SVG graphic with no interactive features.

83% match

Crime Data - Crime Type Occurence Analysis

This bar chart displays the number of occurrences for each crime type in a dataset, with rotated labels along the x-axis to accommodate longer category names. The visualization uses D3.js v7 to load a CSV file via `d3.csv`, aggregate counts with JavaScript objects, and render the chart as SVG. It employs `d3.scaleBand` and `d3.scaleLinear` for positioning, along with `d3.axisBottom` and `d3.axisLeft` to generate axes. The chart includes a title and axis labels, showing that theft or similar categories likely dominate the distribution.

VVinay Vemuri

78% match

exploration&Visu

This visualization uses D3 v4’s `d3.histogram` and `d3.scaleBand` to display crime counts as bar charts, with hardcoded arrays for daily and monthly totals. The SVG chart is generated via a reusable `chart` function, which sets up linear scales and an axis, then binds data to rectangle elements for bars. The code includes category labels for crime types and weekdays, but no external data file. Rendering is purely SVG with styled bars and axes.

AAminaSGitHub

Basic bar chart

This basic bar chart displays categorical year-based values as vertical bars, with each bar’s height encoding the numeric value from a CSV file. The chart loads data from `test-data.csv` using `d3.csv`, then renders SVG rectangles via `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis. Axes are drawn with `d3.axisBottom` and `d3.axisLeft`, and the code includes configurable labels and margins. The design emphasizes simplicity and reusability, adapting a prior block by mbostock into a customizable template.

EEleonore9

fresh block

A horizontal bar chart displays the number of assault incidents by resolution type, with purple bars extending from a shared left axis. The visualization uses D3 v4’s `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the categorical y-axis, rendering SVG rectangles for each bar. Data from the CSV is loaded via `d3.csv`, and axes are drawn with `d3.axisBottom` and `d3.axisLeft`, including a grid of horizontal tick lines. The chart highlights that "NONE" is the most common resolution, while "EXCEPTIONAL CLEARANCE" and "UNFOUNDED" are the rarest.

making a bar chart

This bar chart displays the number of incidents across age groups, using data from a local CSV file. The visualization uses D3 v6 to map age categories to a band scale on the y-axis and incident counts to a linear scale on the x-axis, rendering rect elements in SVG. Axes are generated with `axisLeft` and `axisBottom`. The chart presents a clear increase in incidents with age, culminating in the 90+ group.

Nnexus1058