Fork of Nascar Dashboard I- Just Plots

Nascar Dashboard I- Just Plots

This dashboard presents four NASCAR data plots: a map of track locations, a bar chart of starts before first wins, a stacked bar chart of top drivers by track, and car maker finishes. It uses the Vega-Lite API with `vl.markCircle`, `vl.markBar`, and `vl.layer` to render the visualizations. The map uses an Albers USA projection from a topojson file, while other plots pull data from remote CSVs. Interactive multi-selection via `vl.selectMulti` filters points and bars by track name, adjusting opacity for highlighted marks.

91% match

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.

90% match

NASCAR Dashboard II- Different Plots

This dashboard presents four interactive visualizations of NASCAR statistics. A map of the United States displays race tracks colored by name, with a scatter plot showing racing starts before a driver’s first win. A circle plot visualizes winners by year and starting position, with point size encoding track length. A point chart shows car maker finishes. The visualizations use the vega-lite-api with D3.js for data loading. Interactive selections allow clicking on tracks to filter displays. The map uses topojson data for U.S. states, while CSV datasets provide track locations and race statistics.

88% match

Fork of Fork of NASCAR Statistics Dashboard

This dashboard presents NASCAR race statistics through six linked views: a stacked bar chart, map, simple bars, scatter plot, color legend, and car maker finishes panel, arranged in a two-row flexbox layout. The interface allows users to explore race winners across tracks and years. The visualization is built with React and D3 v6, using SVG for rendering, with data loaded from a CSV file via d3.csv. Components include custom axes, color legends with hover interactions, and a scatter plot that displays driver finishes with tooltips.

RRenee

88% match

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

Fork of Fork of Boston Housing Dataset Part I

This dashboard visualizes NASCAR statistics through five linked views: a U.S. map of track locations, a bar chart of starts before first wins, a stacked bar chart of top winners split by track, and car maker finish distributions. The visualizations use the vega-lite-api to construct marks like `markCircle`, `markBar`, and `markGeoshape` with `vl.longitude()`, `vl.latitude()`, and `vl.topojson`. Data is loaded asynchronously via `d3.csv` from remote gist URLs. A legend is explicitly hidden using `.legend(null)`.

Fork of Fork of Fork of NASCAR Statistics Dashboard

This dashboard presents a grid of six panels showing NASCAR race statistics, with distinct colored sections for a scatter plot, stacked bar chart, map, and simple bar chart. The visualization uses React to compose the layout and relies on reusable D3.js components for SVG axes, legends, and data marks. The ColorLegend module displays a static list of racing tracks with color swatches and labels, while other panels are initialized as empty containers. The dashboard imports a CSV dataset of race winners, which is prepared with type conversions for numerical fields like Payout and Caution Flags.

Ccolbygogan

AIT684 Fork of Fork of NASCAR Statistics Dashboard

This dashboard presents NASCAR race statistics in a multi-view React layout with separate panels for a stacked bar chart, map, simple bars, scatter plot, color legend, and car maker finishes. Each panel is color-coded for visual distinction. The scatter plot uses D3 scales and SVG circles to plot race data, while the color legend displays track names with ordinal color mapping. Data loads from a CSV file containing race winners, and the layout uses Flexbox for responsive panel arrangement.

CCrossZeigler