Skip to main content
SimilarExport ZIP
100%

Gist 6112949

✓ Published0🌍 Public
RRCura
Last edited Jul 30, 2013
Created on Jul 30, 2013

This interactive map displays U.S. state data, with each state represented as a point whose radius encodes the Murder rate and whose fill color is assigned via a gradient. Clicking a feature opens a popup table listing all attributes, including population, income, and life expectancy. Built with R Shiny, the UI integrates OpenLayers and OpenStreetMap scripts via HTML tags, while the embedded JavaScript vector layer reads inline GeoJSON-like feature data.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist 6105524

This interactive map displays U.S. state-level statistics from the `states` dataset, with circle size scaled by murder rate and color encoding each state. Built with OpenLayers, it uses a WMS base layer and a vector layer with fixed point features. Selecting a point opens a framed cloud popup listing attributes like population, income, and life expectancy, using the `OpenLayers.Popup.FramedCloud` API and a select control.

RRCura
91% match
Loading thumbnail…

Gist 9622037

This interactive Shiny application plots geographic data onto a web map, scaling point markers according to a selected attribute. Users choose latitude and longitude columns to position points and adjust the maximum point size via a slider. The interface is built with Shiny widgets, including selectInput and sliderInput, while the map itself is rendered using an HTML output that likely integrates a JavaScript mapping library. A secondary plot, generated with ggplot2, is also included. The code relies on Shiny's server-side plotting and reactive input handling to update both the interactive map and the static plot.

RRCura
75% match
Loading thumbnail…

Untitled

This interactive map visualizes violent crime rates across U.S. states from 1999 to 2019, with dropdown menus to select the year and crime type. Circles sized and colored by bivariate linear scales (d3.scaleLinear) are overlaid on a U.S. map projected using d3.geoAlbersUsa with d3.geoPath. The visualization uses d3.json to load state boundaries and coordinates, with hover tooltips showing state names and values.

Aajeuphoria
74% match
Loading thumbnail…

Shared Data

This interactive map visualizes the population distribution of the United States by rendering state and county boundaries alongside state centroids. Built using D3.js, the visualization combines `d3.geoPath` to project and draw the geographic shapes from the included `us-states.json` and `us-counties.json` files, while `d3.geoPath` also handles the state centroids from `us-state-centroids.json`. The map is rendered dynamically, displaying the detailed boundaries and population data sourced from the provided gist.

Mmbostock
73% 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
72% match
Loading thumbnail…

Untitled

This visualization plots U.S. state-level crime statistics, showing violent crime totals against homicide cases for each state, with bubble size encoding population and color assigned by state name. The chart uses d3.v4 with d3-scale-chromatic for color mapping and includes an interactive tooltip that displays the state name on hover, while also fading out non-hovered bubbles. Data comes from the estimated_crimes.csv file, rendered as SVG circles with axes and labels generated using d3.axisBottom and d3.axisLeft.

Ssruthisenapathi
71% 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
71% 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
71% match