Murder in United States

100%

Murder in United States

✓ Published0🌍 Public

Last edited Sep 18, 2019

Created on Sep 12, 2019

This visualization shows a time-series line chart tracking the number of murders in the United States over time, using a dark-themed interface with large, readable labels. The chart maps years on the x-axis and the murder count on the y-axis, with tooltips displaying the year for each data point. Built with Vega-Lite and the Vega-Lite API, it loads data from a CSV file via D3’s `csv` function, renders the line using `markLine`, and customizes axis appearance through a configuration object. The code registers Vega-Lite with a tooltip handler, and the visualization resizes to fit the window dimensions.

AI-generated description

This plot shows a time-series line for the murder in the United States.

The source comes from Gist.

MIT Licensed

Similar vizzes

Loading thumbnail…

murder_total_deaths

This bar chart displays the total estimated deaths from interpersonal violence across ten countries, including the United States, China, Russia, and India, for the years 2015 and 2016. It uses Vega-Lite’s markBar encoding with country on the x-axis, death counts on the y-axis, and country-based coloring. The data is loaded via d3.csv from a Gist-hosted CSV file, filtered to select specific nations, and rendered using the Vega-Lite API with a custom dark-themed configuration. Tooltips reveal the 2016 death totals.

RReinaFeng

78% match

Loading thumbnail…

US Murders CORGIS Strip Plot

This visualization displays murder rate trends across US states from 2008 to 2019 using a jittered strip plot. Each red dot represents the total murder count for a state in a given year, plotted along a categorical x-axis for each year and a y-axis scaled to the maximum value. The p5.js code loads the CORGIS state crime CSV data and uses the `loadTable`, `map`, and `ellipse` functions to render the dots, with random x-offsets applied to reduce overlap. Axes labels and a rotated y-axis title are drawn using p5.js text functions.

NNoah C.

73% match

Loading thumbnail…

Vega-Lite API Template

This example displays a bar chart of U.S. counties with death counts, sorted in descending order, with a tooltip for population. Built with the Vega-Lite API, the visualization uses a D3 CSV loader to fetch the data from a GitHub gist. The chart is rendered as SVG via Vega, and the code applies a custom configuration to adjust fonts and axis styling. The visualization is sized to fit the browser window.

Mmtabaka

72% 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

72% match

Loading thumbnail…

Working Tooltips

A choropleth-style scatterplot maps the geographic distribution of violent crime across U.S. states, using a circle for each crime incident. The visualization relies on vega-lite-api to construct the specification, which is registered with Vega and Vega-Lite, while a custom tooltip handler from vega-tooltip displays the department name on hover. Data is loaded from a GitHub-hosted CSV, with a filter excluding certain states and a calculated field for zip-code prefixes. The Albers USA projection and a color scale generated with d3’s range and hcl functions map coordinates and hue by crime count.

Yyyaaa1

72% 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

72% match

Loading thumbnail…

Outbreaks in the US Timeseries

This interactive line chart displays monthly counts of illnesses, hospitalizations, and deaths from U.S. outbreak data, revealing a seasonal pattern with peaks in winter and lows in summer. Built with React and Vega-Lite API, it maps the timeline by concatenating year and month into a timestamp field. The chart layers three semi-transparent lines with tooltips that show aggregated values on hover. Data originates from the National Outbreak Public Data Tool, loaded via D3’s `csv` function. The visualization uses Vega-Lite’s `markLine` and `.fieldT`/`.fieldQ` encodings, with custom styling from a shared config file.

RReinaFeng

71% 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