Untitled

100%

✓ Published0🌍 Public

Last edited Sep 19, 2019

Created on Sep 12, 2019

This scatterplot shows the relationship between perpetrator groups, target types, and the number of injured people in U.S. terrorism incidents. The visualization uses a circle mark with fixed size and semi-transparency to reveal overlapping points. It encodes the categorical fields PERPETRATOR 1 and TARGET TYPE 1 on the x- and y-axes, and the quantitative INJURED field on size. Built with the Vega-Lite API, the chart reads data from a CSV file via d3.csv and renders through the Vega and Vega-Lite renderers.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Global Terrorism Dataset Visualization

This visualization uses a bar chart to display terrorist attacks in the United States from 1975 to 2017, showing perpetrators against target types, with color encoding for weapon types. The chart reveals that Private Citizens & Property and Business are common targets across many perpetrators, while the predominance of green blocks indicates Explosives/Bombs/Dynamite as the preferred weapon. The visualization is built with the Vega-Lite API, which translates its high-level specification into Vega for rendering, and loads its data from a CSV file via d3's `csv` method. Tooltip interactions are handled through the vega-tooltip library.

Hhotdoujiang

80% match

Loading thumbnail…

Fork of Vega-Lite API Template

A scatter plot visualizes terrorist reports from April 2003, encoded by date and threat level, with points colored by agency (CIA) and tooltips revealing detailed notes. The visualization is built using the Vega-Lite API, with `vl.markCircle` for marks and `vl.x`, `vl.y`, `vl.color`, and `vl.tooltip` encodings. Data is loaded from a CSV file via `d3.csv`, and interactive tooltips are provided through vega-tooltip. The chart resizes to the window and uses a custom dark theme defined in `config.js`.

BBrian Olczak

70% match

Loading thumbnail…

恐怖主义伤亡数

This visualization combines a world bubble map with a time-series histogram to explore global terrorism casualties. The map displays circles scaled by the total dead and missing, while the histogram shows monthly casualty sums. A brush on the histogram filters the map’s circles interactively. The visualization uses React, D3 v5, and SVG, leveraging `geoNaturalEarth1` for the map projection, `scaleSqrt` for circle sizing, and `brushX` to enable time-range selection. Data comes from the Global Terrorism Database, with country boundaries from World Atlas TopoJSON.

XXiaoleiGuo

69% match

Loading thumbnail…

Making Sense of the Senseless

This visualization, titled “Making Sense of the Senseless,” displays U.S. mass shooting incidents as a bar chart of total victims per year, with bar colors encoding the shooter’s age. It uses the vega-lite-api to construct the chart, with d3.csv loading the dataset from a GitHub gist. The chart is rendered as an SVG via vega and vega-lite, with custom configuration for axis styles and tooltips enabled through vega-tooltip. The visualization emphasizes readability with a dark color scheme and large fonts.

Hhagerka

69% match

Loading thumbnail…

US Police Shootings Visialization

A bar chart visualizes the frequency of US police shootings, grouped by the type of arms involved and colored by the victim's race, with tooltips showing exact counts. The visualization is built using the vega-lite-api to define the bar marks and encodings, while d3.csv loads the shootings dataset from a gist repository. Vega and Vega-Lite render the chart, with vega-tooltip providing interactive details, and a custom config adjusts font sizes and axis styles for readability. The chart fills the entire browser window, using the dataset's categorical and quantitative fields directly.

Llintonylin

69% match

Loading thumbnail…

[DataVizStudy]Using Size with Points on the map

This interactive world map displays global terrorism events from 2018, using the [2018 Global Terrorism Database](https://gist.github.com/hotdoujiang/e6064faca930a996230aa4dc3ccd8db0). Each point's radius encodes the number of people wounded or killed, with color set to a semi-transparent "bloody red" to visually emphasize severity. The visualization is built with React, D3 v5, and SVG, using the `d3.geoNaturalEarth1` projection for the map and `d3.geoPath` to render land boundaries and graticules. Point sizes are scaled via `d3.scaleSqrt` with a maximum radius of 13 pixels.

Hhotdoujiang

68% match

Loading thumbnail…

[DataVizStudy]Using Size and menu with Points on the map

This example displays global terrorism events from 2018 as points on a world map, with point size encoding the combined number of wounded and killed individuals. The visualization uses a React front-end and D3 v5, employing `d3.geoNaturalEarth1` and `d3.geoPath` to render the map from World Atlas TopoJSON data, while `scaleSqrt` maps data values to circle radii. The map includes graticules and country interiors for visual context, and the data is loaded as CSV and processed before rendering as SVG circles.

Hhotdoujiang

67% match

Loading thumbnail…

恐怖主义伤亡数（1979-2018）

This interactive visualization presents global terrorism casualties from 1979 to 2018, combining a world map with a linked time-series bar chart. Bubble sizes on the map encode the total dead and missing for each incident, while brushing across the date histogram filters the map to show only incidents within the selected period. The map uses d3.geoNaturalEarth1 with d3.geoPath for country boundaries and graticules, while the histogram applies d3.bin and d3.brushX. Data comes from a CSV file with approximate coordinates. React and D3 v5 render all elements as SVG, with useMemo optimizing performance.

XXiaoleiGuo

67% match