Massachussetts Top 10 Crime City add filter

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.

Massachussetts Top 10 Crime City filter works

A dropdown menu filters a bar chart of the top 10 cities in Massachusetts by crime rate, comparing All, City, Rural, and Suburb community types. The bars display the crime ratio as a percentage, with hover tooltips showing exact values. Built with React and D3 v5, it uses `scaleBand`, `scaleLinear`, and `csv` to load and visualize 2016 crime data, with SVG rendering for the chart and axes.

Massachussetts Top 10 Crime City filter works

This example displays the top 10 Massachusetts cities by crime rate, presented as a bar chart with a dropdown menu to filter by community type (all, city, rural, or suburb). The visualization uses React for state management and D3 v5’s `scaleBand` and `scaleLinear` for axes, with data from a 2016 crime dataset loaded via `d3.csv`. The dropdown is implemented with `react-dropdown`, and selecting an option updates the chart, though the filtering logic is incomplete. SVG rendering with tick marks and formatting via `d3.format` displays percentages on the y-axis.

Polished Massachussetts Top 10 Crime City add filter

A dropdown menu filters a bar chart of the top 10 Massachusetts cities by crime rate, showing the percentage for either all communities or only city, rural, or suburb types. The SVG chart uses d3.scaleBand and d3.scaleLinear to position bars, with d3.axis formatting for tick labels. Data comes from a CSV file loaded via d3.csv, and the interface is built with React components and ReactDropdown.

96% match

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.

95% match

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.

93% match

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.