Skip to main content
SimilarExport ZIP
100%

Map

✓ Published0🌍 Public
SSithal95
Last edited Apr 27, 2018
Created on Apr 27, 2018

This map visualizes state-level prison imprisonment rates and mental health access across the U.S., using a choropleth where each state is colored according to its imprisonment value. The visualization displays tooltips on hover, showing the imprisonment number for each state, and includes interactive buttons to switch between metrics. Built with D3 v4, it uses `d3.geoAlbersUsa()` for the projection, `d3.geoPath()` for rendering SVG paths, and `d3.scaleQuantile()` for color mapping based on data from a CSV file.

AI-generated description

Similar vizzes

Loading thumbnail…

Map

This choropleth map of the United States uses D3 v4 to visualize the relationship between state-level imprisonment rates and mental health care access from a CSV dataset. Each state’s fill color encodes its imprisonment value through a `d3.scaleQuantile` with a ColorBrewer green palette. The Map uses an Albers USA projection (`d3.geoAlbersUsa`) with `d3.geoPath` to render the GeoJSON state boundaries, and hover interactions display the imprisonment number via SVG text and rectangle tooltips.

SSithal95
94% match
Loading thumbnail…

Map

This map displays two data dimensions for U.S. states—imprisonment rates and a mental health access metric—using a quantile color scale. It renders an SVG map with the Albers USA projection and outlines each state as a path. A mouseover on a state temporarily shows the imprisonment value in a small tooltip. The code merges data from a CSV file with GeoJSON geographic boundaries, using `d3.geoPath`, `d3.scaleQuantile`, and `d3.geoAlbersUsa` to produce the interactive choropleth.

SSithal95
94% match
Loading thumbnail…

maps

This choropleth map shows U.S. state crime rates per 100,000 people, with states colored on a sequential orange-red scale based on values loaded from a CSV file. The visualization uses D3 v7 and TopoJSON to render state boundaries via `d3.geoAlbersUsa` projection and `d3.geoPath`, while encoding data with `d3.scaleSequential` and `d3.interpolateOrRd`. A canvas-generated gradient legend with a `d3.axisBottom` scale accompanies the SVG map, and hover interactions display crime values and state names in a tooltip.

Vvydeeshm@gmail.com
80% match
Loading thumbnail…

US Crime Rate Map

A choropleth map of the United States displays per-state crime rates using a sequential color scale from light pink to dark red. Hovering over a state highlights its border and reveals a tooltip with the state name and crime rate. The visualization uses D3 v7 and topojson to load US Atlas GeoJSON data, projecting it with `d3.geoAlbersUsa` and rendering paths via `d3.geoPath`. Crime values are mapped to colors using `d3.scaleQuantize`, with mouse events and a tooltip div providing interaction.

Sshreshnaanugu@gmail.com
78% match
Loading thumbnail…

ASSIGNMENT-8

This choropleth map displays violent crime rates per 100,000 people across US states using 2019 FBI data. Each state is colored on a yellow-to-red scale based on its rate, with darker shades representing higher crime levels. The visualization uses d3.geoAlbersUsa for the projection and d3.geoPath to render state boundaries from TopoJSON data. Interactive tooltips appear on hover, showing the state name and crime rate, while a gradient legend displays the color scale.

Vvarshitreddy02@gmail.com
78% match
Loading thumbnail…

ICE 8-1.2

This choropleth map displays the crime rate per 100,000 people across U.S. states, using a sequential blue color scale where darker shades indicate higher rates. Hovering over a state reveals a tooltip with the exact value, while states without matching data appear gray. The visualization loads CSV data and U.S. TopoJSON boundaries, then renders them as SVG paths via `d3.geoPath` with an Albers USA projection. It uses D3 v7 for data binding, color encoding, and interactive tooltips, with state names normalized and matched against FIPS codes for labeling.

Ssakethpapareddy@gmail.com
78% match
Loading thumbnail…

Untitled

A choropleth of the United States visualizes violent crime rates per state from 1999 to 2019. The map uses SVG circles positioned via `d3.geoAlbersUsa` and `d3.geoPath` to represent state-level crime counts, with circle size and color encoded through `d3.scaleLinear`. Users select a year and crime type (e.g., homicide, robbery) from dropdown menus, triggering a redraw of the map with updated data. The visualization loads state geometries from `us-states.json` and coordinates from `states_lon_lat.json`, with data from the `estimated_crimes_1999_2019.csv` file.

OOsasotur
78% match
Loading thumbnail…

Untitled

An interactive choropleth map displays property crime rates across U.S. states from 2009 to 2019, with dropdown menus to select the year and crime type (property crime, burglary, larceny, or motor vehicle theft). The map uses `d3.geoAlbersUsa` projection and `d3.geoPath` to render state boundaries from a TopoJSON file. Crime values are mapped to a red color scale using `d3.scaleThreshold`, with a legend generated via `d3.legendColor`. Hovering over a state reveals a tooltip with details, and the visualization updates dynamically through SVG transitions.

Nnellylopez2022
78% match