Skip to main content
SimilarExport ZIP
100%

Traffic Fatalities in North Carolina, 2012

✓ Published0🌍 Public
JJoshAddington
Last edited Nov 22, 2015
Created on Nov 22, 2015

This horizontal bar chart shows monthly traffic fatalities in North Carolina for 2012, with each bar’s length representing the fatality count and a hover effect highlighting the bar in blue. The visualization uses D3.js to bind the dataset, scale the x-axis linearly and the y-axis ordinally, and render SVG rectangles and text labels. Bars animate their width and labels on page load via chained transitions with staggered delays. The chart includes axes, with the y-axis labels hidden for a cleaner look, and sources data from the North Carolina Department of Transportation.

AI-generated description

Similar vizzes

Loading thumbnail…

Car Accident Visualization

This interactive bar chart visualizes the frequency of collision details in car accidents, ranking causes from "Other Motor Vehicle" down to "In-Line Skater." Users can click buttons to add or remove bars, revealing progressively less common crash scenarios. Built with D3 v7 and React, the visualization uses `d3.scaleBand` and `d3.scaleLinear` for axes, with SVG rectangles and animations updating the chart dynamically. The data is hardcoded in JavaScript arrays, with axis labels and rotated tick text styled via CSS.

CChaoying Zheng
66% match
Loading thumbnail…

Untitled

This interactive bar chart displays road accident statistics across police stations, with a dropdown menu to switch between different data columns such as fatalities, injury severity, collision types, and day of the week. Built with D3 v3 and React, the visualization uses `d3.scale.ordinal` for the x-axis, `d3.scale.linear` for the y-axis, and SVG rectangles that smoothly animate via `transition().ease()` when the selected metric changes. Data is loaded from a CSV file, and hover tooltips reveal exact values per station.

Aachintyatripathi
66% match
Loading thumbnail…

Causes of Death

This interactive visualization explores mortality trends in the United States through a linked tree navigator and stacked area chart. The tree navigator organizes causes of death hierarchically, and selecting a node updates the stacked area chart to display the proportional composition of causes over time, with each layer colored distinctly. The visualization uses D3’s stack layout with an expand offset to show relative proportions, while the tree provides an intuitive way to drill into specific causes of death. Data is sourced from the Centers for Disease Control.

CCurran Kelleher
64% match
Loading thumbnail…

rakshitharao27

This horizontal bar chart displays the number of deaths in 2019 for the top 12 countries, with each bar's length representing the death count. The chart uses a React component that loads data from a CSV file via the `d3.csv` function. It employs `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numerical x-axis. The visualization renders as an SVG with axes and bars constructed using React primitives, styled with simple CSS.

RRakshithaRao27
64% match
Loading thumbnail…

Traffic_Deaths Data Table Summary

This visualization summarizes a WHO dataset on road traffic deaths by country and road-user type. It displays the dataset’s total row count, column count, and size in kilobytes, followed by the first 10 rows formatted as JSON. The code uses `d3.csv` to load the external CSV, `csvFormat` to compute its size, and D3 selections to append the summary text to a black-styled body. The terminal-like green-on-black presentation emphasizes the data’s structure over graphical mapping.

YYF
64% match
Loading thumbnail…

Untitled

This visualization shows the monthly aggregated death toll in Syria from 2011 to June 2019, plotted as a bar chart over time. The chart uses D3.js to render an SVG with axes, bars, and a tooltip that appears on hover. Data is sourced from the Violations Documentation Center in Syria via a scraping script. The visualization also includes a dynamic title and a responsive layout styled with CSS, with the y-axis and x-axis drawn using D3’s axis components.

Vvaynexie
64% match
Loading thumbnail…

Fatal Police Shootings Chart Working Copy

This interactive bar chart visualizes fatal police shootings in the United States, allowing users to explore how incidents distribute across categories such as race, gender, and armed status. The chart dynamically aggregates counts from the Washington Post dataset using d3.nest() and presents results through React components with SVG rendering. Users select a variable from a dropdown menu, triggering the x-axis to update via React's state management. The implementation uses d3.scaleBand and d3.scaleLinear for axes, with native SVG `<title>` tooltips embedded in each bar.

MMartin Blatz
64% match
Loading thumbnail…

Untitled

A bar chart displays traffic accident victim counts for four vehicle types in France in 1958. The chart uses D3 v4 with an SVG rendering. It loads data from a local CSV file via `d3.csv` and maps the categorical vehicle names to an `xScale` (a `d3.scaleBand`) and the numeric quantities to a `yScale` (a `d3.scaleLinear`). Axes are added with `d3.axisBottom` and `d3.axisLeft`, while the bars are appended as SVG `rect` elements with a fixed steelblue fill.

DDavidZheng217
64% match