Vehicles in NYC Crashes

NYC Crash Bar Chart with React & D3

This bar chart visualizes the number of vehicle collisions in New York City across the 24 hours of a day, breaking down each hour's total into stacked segments for injuries, deaths, and other crashes. The chart uses React to manage the SVG and window resizing, while D3's `scaleLinear`, `axisBottom`, and `stack` APIs handle the data scaling, axes, and stacked bar construction. Data is loaded from a local CSV file.

87% match

NYC Borough Crash Data

This stacked bar chart visualizes NYC collision data across the hours of the day. Each bar is segmented by the proportion of crashes resulting in injuries, deaths, and other outcomes, as derived from a CSV loaded with d3.csv. The visualization uses React hooks (useRef, useEffect, useState) to manage responsive dimensions and re-render the viz function on window resize. It employs d3.scaleLinear for axes, d3.stack for the stacked segments, and d3.axisBottom/axisLeft with custom time-based tick formatting for the hour labels.

85% match

NYC Motor Crashes Exploratory Analysis

This interactive visualization explores NYC motor vehicle crash counts by hour, with buttons to filter results by day of the week or view the overall total. It renders animated SVG bar charts using D3 v7, transitioning axes and bar heights over two seconds when a new day is selected. The data comes from a remote CSV of 2020 collision statistics, parsed with d3.csv. The code dynamically updates scales, axes, and bar positions via d3.scaleBand, d3.scaleLinear, and selection joins with transition.

Mmtz2110

NYC Interactive Crash Bar Chart with React & D3

This interactive bar chart visualizes the distribution of vehicle collisions across a 24-hour day in New York City, stacking counts of injuries, deaths, and other crashes for each hour. Built with React 19 and D3 v7, it uses `d3.stack` to create layered bars and `d3.scaleLinear` for axes. Hovering a bar triggers D3 mouse events that dim non-hovered bars and display a tooltip with hourly breakdowns. The chart resizes responsively by recalculating SVG dimensions, and loads data from an external CSV file.

NYC Crash Plot with React & D3

This line chart tracks the daily number of motor vehicle collisions in New York City from July 2016 through January 2017, revealing fluctuations that dip on holidays and spike on certain weekdays. The visualization is built as a React component that loads CSV data and passes it to a D3 rendering function, which uses `scaleTime`, `scaleLinear`, `line`, `axisBottom`, and `axisLeft` to draw the plot with labeled axes.

NYC Crash Normalized Bar Chart with React & D3

This stacked bar chart displays NYC motor vehicle crash data by hour, showing the proportion of injuries, fatalities, and all other crashes normalized per collision. The visualization uses d3.stack to create stacked bars, with React managing the responsive SVG container and d3.scaleLinear, d3.axisBottom, and d3.axisLeft constructing the axes. Data loads from a CSV file, and percentages are computed by dividing injury and fatality counts by total crashes. A color-coded legend identifies the three stacked categories, while a custom tick format converts numeric hours into AM/PM labels.

Interactive NYC Crash Plot with React & D3

This example shows the daily number of motor vehicle collisions in New York City from July 2016 through January 2017 as a time-series line chart. The visualization, built with React and D3 v7, uses `d3.scaleTime` and `d3.scaleLinear` to map dates and crash counts, with `d3.line` generating the path. Hovering over transparent circles reveals a tooltip displaying the exact date and crash count, using `d3.timeFormat` for date labeling. The data comes from a CSV file containing daily crash totals.

82% match

NYC Crash Bar Chart Interactive Legend with React & D3

This stacked bar chart displays NYC collision data by hour, breaking down each bar into injuries, deaths, and other crashes. Hovering over legend items highlights the corresponding stack with a black stroke and fades others to 20% opacity. The visualization uses React for state management and D3 v7 for rendering, including `d3.stack`, `d3.scaleLinear`, and `d3.axisBottom`. It loads hourly crash statistics from a CSV file via `d3.csv` and handles window resizing with dynamic SVG dimensions.