Skip to main content
SimilarExport ZIP
100%

NASCAR Scatterplot With Dropdown, Filter

✓ Published3🌍 Public
RRobert Johnson
Last edited Nov 17, 2021
Created on Nov 3, 2021

This interactive scatterplot displays NASCAR race winner statistics from 1975 to 2003, plotting year on the x-axis against a user-selectable y-axis metric, including starting position, payout, caution flags, lead changes, and winning time. A dropdown menu from ReactDropdown enables switching between these attributes, while points are colored by track name using a d3.scaleOrdinal color scale. Hovering over the color legend highlights data points for a selected track and fades others to 12% opacity. The visualization uses d3.scaleTime and d3.scaleLinear scales, renders SVG circles via React components, and loads CSV data with d3.csv.

AI-generated description

This scatterplot is an expansion on a previous viz I created that shows NASCAR winners by starting position, split by year. This plot colors the points by the track name, adds a dropdown and a legend. The dropdown allows for the selection of different statistics pertaining to the race winners. In addition, hover capability has been added so that hovering over a track in the legend will highlight all of the dots pertaining to that track. These edits will provide the viewer with an opportunity to look for patterns among tracks and track types, and among several different variables. This data comes from a rendition of the NASCAR dataset, which spans from 1975 to 2003.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of NASCAR Scatterplot With Dropdown, Filter

A NASCAR scatterplot displays race winners by starting position or other selectable statistics across years, with each point colored by track name. A dropdown menu switches between metrics like payout, caution flags, lead changes, and winning time. Hovering over the legend highlights all points for a specific track while fading others. The visualization uses React with D3 scales (scaleTime, scaleLinear, scaleOrdinal) for axes and coloring, rendering SVG circles, and loads data from a CSV file.

AAndre J Denais
94% match
Loading thumbnail…

NASCAR Winners Plot with Menu

This interactive scatter plot displays NASCAR race statistics, comparing race years against selectable metrics such as start position, payout, track length, or caution flags. A dropdown menu updates the y-axis attribute dynamically, while circle color encodes track name and size encodes race length. Built with React and D3 v5, it uses scaleLinear, scaleOrdinal, and CSV-loaded race data with SVG rendering for marks and axes.

RRobert Johnson
91% match
Loading thumbnail…

NASCAR Statistics Dashboard

This dashboard presents a comprehensive view of NASCAR race statistics from 1975 to 2003, combining multiple visualization types to explore driver performance, track characteristics, and car manufacturer finishes. The interface integrates a scatter plot with interactive dropdown controls for examining different race metrics, a color-coded map showing track locations, stacked bar charts displaying top winners, and additional bar and point charts. Built with React and D3, the visualizations use SVG rendering, with the map employing d3.geoPath for geographic display and Vega-Lite APIs for several chart types. The scatter plot includes hover interactions on its color legend to highlight specific tracks, while tooltips provide detailed race information.

RRobert Johnson
85% match
Loading thumbnail…

NASCAR Winners by Starting Position, Dropdown Added

This scatterplot shows NASCAR winners’ starting positions across race years from 1975 to 2003, with each point colored by track name and sized by track length. A dropdown menu filters the view to a single track, dimming non-selected points. The visualization is built with Vega-Lite and D3 v5, using `vl.selectSingle` and `vl.menu` for the interactive filter, and it loads data from a CSV via `d3.csv` to encode categorical colors and quantitative positions.

RRobert Johnson
85% match
Loading thumbnail…

NASCAR Car Maker Finishes, Dropdown Added

This scatterplot visualizes NASCAR car maker finishes from 1975 to 2003, with circles sized by count of instances for each finish. A dropdown menu allows filtering by individual track, changing point colors to match track-specific palettes from other visualizations. The chart uses Vega-Lite API with `vl.selectSingle` and `vl.menu` for interactive filtering, `vl.markPoint` for rendering, and `vl.tooltip` for hover details. Data is loaded from a CSV via `d3.csv`.

RRobert Johnson
83% match
Loading thumbnail…

NASCAR Stats Dropdown (WIP)

A bar chart displays career statistics for ten NASCAR drivers, ranked by a metric chosen from a dropdown menu (Starts, Wins, Top 5s, Top 10s, or Poles). The chart updates the bars and x-axis label when the selection changes. Built with React and D3 v5, it uses `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and CSV data loaded via `d3.csv`.

RRobert Johnson
82% match
Loading thumbnail…

Fork of NASCAR Statistics Dashboard

This dashboard displays NASCAR race statistics across multiple coordinated views, including a stacked bar chart, scatter plot, simple bar chart, and legend of race tracks. The interface uses React with SVG rendering via D3 v6, loading race winner data from a CSV file using the `csv` function. The implementation includes custom React components for axes, color legends with hover interactions, and dropdown menus for filtering, with a flexbox layout organizing the visualization panels.

CCurran Kelleher
82% match
Loading thumbnail…

NASCAR Dashboard IV- Dropdowns, Different Plots

This dashboard displays four NASCAR visualizations: a map of track locations, bar charts of driver starts before first wins and top winners, and a scatter plot of starting positions among winners. Each visualization includes an independent dropdown menu and interactive tooltips, with points and bars resizing based on selections. Built with d3.v5 and the Vega-Lite API, the visualizations use `vl.selectSingle` with a menu binding for filtering, `markGeoshape` and `markCircle` for the map, and `markBar` for histograms. The data is loaded via D3’s `csv` from GitHub gists, with tooltips handled by Vega Tooltip.

RRobert Johnson
82% match