Massachusetts City Population by Crime Rate (Final Project)

Massachusetts City Population by Burglary

This example plots Massachusetts cities as points on a scatterplot, with burglary counts on the x-axis and population on a logarithmic y-axis. It reveals that among similarly populated cities, New Bedford and Fall River experience notably higher burglary rates. The visualization is built with the vega-lite-api, which registers Vega and Vega-Lite, and uses d3.csv to load the crime dataset from a GitHub gist. Custom axis styling and tooltips are configured through Vega-Lite’s API, with points colored by city and rendered via SVG.

88% match

Massachusetts City Population by Burglary

This visualization displays the distribution of crime counts across Massachusetts communities, with each bar representing a town and colored segments showing the proportional contribution of different crime types. The data comes from a CSV file of unpivoted Massachusetts crime statistics, loaded via d3.csv. The visualization uses the vega-lite-api to build a stacked bar chart, aggregating the count field by community and crime type, with the y-axis normalized to show proportions. The chart is configured with custom axis styling for improved readability, and a tooltip handler provides interactive details on hover.

CCurran Kelleher

84% match

Massachusetts City Population by Burglary

This visualization compares burglary counts across Massachusetts communities using a bar chart with a logarithmic scale, making large value differences readable. The chart groups bars by community, with crime type on the x-axis and total crime count on the y-axis, colored by crime type. Built with the vega-lite-api library, it uses d3.v5 to load and unpivot a CSV dataset fetched from a Gist, then aggregates counts per community and crime type via `vl.aggregate` and `vl.sum`. Custom axis styling in `config.js` improves label readability.

Yyuzhang21

Massachussetts Top 10 Crime City by Crime Count/Population

This bar chart displays the top 10 Massachusetts cities by crime rate, calculated as the ratio of crime count to population for 2016. Users see the cities ranked along the x-axis, with each bar’s height representing its crime rate percentage. The visualization employs React and D3 v5, using `scaleBand` for the categorical axis and `scaleLinear` for the numeric scale, with SVG rendering. Data is loaded from a CSV via the `d3.csv` method, and hover tooltips show exact percentage values.

Massachussetts Top 10 Crime City by Crime Count/Population

This interactive bar chart visualizes the top 10 Massachusetts cities by crime count relative to population. Built with React and D3 v5, it renders an SVG that displays the crime ratio as a percentage on the y-axis, with city names along the x-axis. The visualization utilizes `scaleBand` and `scaleLinear` for coordinate mapping, while `csv` loads the 2016 crime dataset from a GitHub gist. Hovering over each bar reveals the exact crime ratio via a `title` tooltip, filtering the data to rural communities.

Massachusetts City Population by Burglary

The visualization displays Massachusetts city population data plotted against burglary rates across years, using bar marks to encode weekly ILI (influenza-like illness) totals. It employs the vega-lite-api with d3 for data loading, rendering a small-multiple column layout by year with color indicating temporal grouping. The chart uses a dark-themed config for improved readability and attempts logarithmic scaling on the y-axis, though the code ultimately applies linear scaling for the ILI totals. Data originates from a CSV gist containing unpivoted Massachusetts crime statistics.

Yyuzhang21

Massachusetts Crime Proportion by Community (final project)

This visualization shows the proportion of different crime types across Massachusetts communities, using a stacked, normalized bar chart to compare relative shares. Rural areas exhibit more burglary, while cities show higher rates of robbery, motor vehicle theft, and violent crime. Built with vega-lite-api on d3.v5, it loads CSV data from a GitHub gist, aggregates crime counts by community and type, and renders horizontal bars with tableau20 color coding. The config adjusts font sizes and axis styling, while vega-tooltip provides interactive crime-type and count details on hover.

82% match