US Estimated Crime Data (1995 - 2015): Top 5 States

100%

US Estimated Crime Data (1995 - 2015): Top 5 States

✓ Published0🌍 Public

Last edited Jul 21, 2022

Created on Jul 19, 2022

This interactive sunburst chart visualizes estimated crime data for the top five US states from 1995 to 2015. The visualization uses a hierarchical partition layout with animated zooming, where clicking a slice refocuses the view on that segment. Built with D3 v4 and React, it renders SVG arcs with text paths for labels, using d3.partition, d3.arc, and transition.attrTween to create smooth scaling animations. The data appears to come from a JSON structure containing pollutant metrics, though the visualization maps these hierarchical values into the sunburst layout.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

US Estimated Crime Data (1995 - 2015): Top 5 States

This interactive zoomable sunburst chart displays estimated crime data for the top five US states from 1995 to 2015, using a hierarchical ring layout where each year forms an inner ring, states and crime categories radiate outward, and segment size corresponds to crime counts. Users click slices to zoom into specific years, states, or crime types. Built with D3.js v4, the visualization uses `d3.partition()` for hierarchical layout, `d3.scaleSqrt()` for radial scaling, and SVG paths with animated transitions via `d3.transition()` to smoothly refocus the view.

Aajeuphoria

96% match

Loading thumbnail…

Fork of Fork of US Estimated Crime (1995 - 2015) : Top 5 States

This visualization displays the title “Fork of Fork of US Estimated Crime (1995 - 2015) : Top 5 States” but does not render any data. The page loads D3 version 7.0.4 via a CDN and uses `d3.select` to target the body element, then sets its text content to “Hello D3 version 7.” The code contains no crime statistics, no chart, and no mapping or aggregation logic; it is a minimal template that outputs a static text string instead of the claimed top-five-state crime visualization.

Aajeuphoria

80% 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

75% 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

75% match

Loading thumbnail…

Line Chart

This line chart displays violent crime rates per 100,000 people for each U.S. state from 2000 to 2019, using data from the CORGIS dataset. Each state is represented by a colored line, with a color legend on the right for identification. Built with D3.js (v7), the visualization uses `d3.scaleLinear` for axes and `d3.scaleOrdinal` for color assignment, rendering paths and hover-able circles in SVG. The `d3.legendColor` API adds the threshold legend, and tooltips reveal exact values on hover.

AArun

74% match

Loading thumbnail…

A7 Multi-Line Chart

This chart visualizes violent crime rates per 100,000 people across U.S. states from 2000 to 2019, using data from the CORGIS dataset. Each state is shown as a multi-line path with colored dots for individual data points, and hovering reveals exact values. The visualization is built with D3 v7, using `d3.csv` for data loading, `d3.line` for path generation, and `d3.legendColor` from the d3-legend library for the color legend. Axes are rendered via `d3.axisBottom` and `d3.axisLeft`, with an ordinal color scale distinguishing states.

NNoah C.

74% 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

73% match

Loading thumbnail…

EDAV 2022 TTh Project Group 31

This interactive bar chart compares violent crime rates per 100,000 population across 15 U.S. states and the District of Columbia for 2002 and 2014. Clicking the gray year label toggles between the two datasets, animating bar heights and colors via D3 v7 transitions. The chart uses `d3.scaleBand` and `d3.scaleLinear` for axes, with SVG rectangles rendered through `d3.selectAll` and a custom `update` function. Axis labels and margins are configured manually; data appears hardcoded in arrays rather than loaded from an external file.

NNaishadh Parmar

72% match