Boston Crime Reports

Boston Crime Reports

A map of Boston displays crime incident reports as semi-transparent circles, colored by the Uniform Crime Report (UCR) part via an ordinal color scale. A linked date histogram below the map shows the total number of incidents over time, with a brush that filters the map’s circles by date range. The visualization uses React, D3’s `geoAlbers` projection, `geoPath`, `scaleOrdinal`, and `brushX`. Data comes from Boston Crime Reports and neighborhood GeoJSON files.

GGeniXiong

95% match

Mass Crime Map with circle size corresponding to crime total count

This map shows the total crime count for each township in Massachusetts, with circle size proportionally scaled to the crime total using d3.scaleSqrt. The visualization combines town boundary paths rendered via d3.geoPath with a d3.geoAlbers projection, overlaid with crime data points positioned by longitude and latitude. Tooltips display city name, county name, and formatted crime counts. The crime data originates from FBI 2016 statistics, while geographic boundaries come from MassGIS shapefiles converted to Topojson. The visualization is built with React, D3 v5, and SVG rendering.

75% match

D3: NYC Crime Visualization

This interactive NYC crime visualization presents multiple coordinated views: a choropleth map of precincts, a pie chart of crime types, and bar charts showing age and race distributions. Users can click precincts or crime categories to filter across all views, with a reset button to restore the full dataset. The visualization uses D3 v6 with d3.geoMercator and d3.geoPath for the map projection, d3.arc for the pie chart, and d3.scaleBand for bar charts. Crime data is color-coded via a linear gradient legend and tooltip interactions.

Ooliverliuoo

75% match

Massachussetts Top 10 Crime City filter works

This interactive bar chart displays the crime rates of Massachusetts cities, filterable by community type (All, City, Rural, Suburb) via a dropdown menu. Built with React and D3 v5, it renders an SVG visualization where each bar shows the crime rate as a percentage. The chart loads data from a CSV file containing 2016 crime statistics, using D3's `csv`, `scaleBand`, `scaleLinear`, and `format` functions for data processing and axis scaling. The top 10 cities are displayed by default, with tooltips revealing precise percentage values.

Massachussetts Top 10 Crime City filter works

This interactive bar chart shows the top 10 cities in Massachusetts by crime rate, with a dropdown menu filtering results by community type (All, City, Rural, or Suburb). The visualization uses React to manage state and render the dropdown, while d3.scaleBand and d3.scaleLinear handle the axes and bar positioning. Crime data comes from a CSV file loaded via d3.csv, with each bar displaying a tooltip showing the exact crime ratio. The y-axis labels are formatted as percentages using d3.format, and the SVG rendering includes gridlines and axis ticks styled with CSS classes.

NYC Crime

This interactive dashboard visualizes NYC crime data across multiple coordinated views. A map of NYC uses a D3 geoMercator projection and d3.geoPath to display precinct boundaries, with color intensity reflecting crime prevalence. Clicking a precinct updates a donut chart showing crime-type distribution and three bar charts breaking down offenses by victim age and race. Users can filter by crime type through the pie chart and reset all views with a button. The visualization uses D3 v6 with SVG rendering, animated transitions between states, and tooltips for additional detail.

YYuta555

Massachussetts Top 10 Crime City filter works before adjust axis

This interactive visualization displays the top 10 cities in Massachusetts by crime rate, filtered by community type (city, rural, or suburb) through a dropdown menu. Built with React and D3 v5, it renders an SVG bar chart using `scaleBand` and `scaleLinear` to map city names and crime ratios. The bars show tooltips with formatted percentage values, and the y-axis uses `d3.format` for readability. Data comes from a 2016 Massachusetts crime dataset loaded via `d3.csv`. The author notes unresolved issues with axis alignment and label rotation.

Mass Crime Map with circle size corresponding to crime/population ratio

This map of Massachusetts towns shows crime rates as circles overlaid on geographic boundaries, with circle size scaled to each town's crime-to-population ratio. Using React and D3 v5, the visualization projects GeoJSON features onto an SVG canvas via d3.geoPath with a geoAlbers projection, while d3.scaleSqrt maps crime rates to circle radii. Crime data comes from the FBI’s 2016 table, and geographical boundaries derive from MassGIS shapefiles converted to TopoJSON. Hovering reveals city, county, and exact crime rate in the tooltip.