NBA Standings Modified

NBA Standings

This interactive NBA standings visualization displays the geographic distribution of teams on a U.S. map using d3.geoPath with a geoAlbersUsa projection. Hovering over team markers reveals details like wins, losses, and win percentage. Users can filter by conference, toggle labels, zoom using d3.zoom, or switch to a sortable data table built with DataTables, which shows the full statistical standings from the loaded CSV data.

92% match

NBA Standings Map

This map shows the geographic distribution of NBA teams, with each team’s location marked by a dot and its current win/loss record and rank displayed via an interactive tooltip. The visualization uses D3 v5 with a geoAlbersUsa projection to render U.S. state boundaries from TopoJSON data, while team standings from a CSV file are joined with team coordinates to place the markers. Users can zoom and pan the map using d3.zoom, with buttons to scale in, out, or reset the view, and hovering over a dot reveals detailed performance statistics in a styled HTML tooltip.

88% match

Table

This example displays NBA team statistics in an interactive data table, allowing users to filter the dataset by conference (Eastern or Western) using buttons. The table presents team records, win percentages, scoring averages, and streak data, sorted by wins. Built with D3.js and the jQuery DataTables plugin, the visualization renders an HTML table inside an SVG foreignObject and dynamically updates rows when a filter button is clicked. The underlying team data comes from a CSV file.

80% match

US Map

This visualization displays a map of the contiguous United States with circles marking the locations of NBA teams based on latitude and longitude coordinates from a CSV file. It uses d3.geoAlbersUsa for projection and d3.geoPath to render state boundaries from a TopoJSON file loaded via topojson.feature. The map supports zooming through d3.zoom, and states change color on hover via CSS. Team circles include tooltips showing team names, while Alaska, Hawaii, and Puerto Rico are excluded from the state rendering.

80% match

NBA_TEAM

This visualization maps the locations of NBA teams across the United States using an Albers equal-area projection. Each team appears as a gray circular marker with its abbreviation labeled above, plotted atop state boundaries and graticules. The code leverages React with D3 v5, using geoAlbers and geoPath for geographic rendering, topojson for US state outlines, and CSV data loaded via d3.csv for team coordinates. The SVG output emphasizes spatial distribution of franchises rather than quantitative attributes.

78% match

nba_data_vis

A geo-visualization of NBA team locations plotted as circles atop a map of US states, using a geographic region projection. The map renders state boundaries and interiors via SVG paths from `d3.geoPath` and `topojson.feature`, while team coordinates are projected and displayed as semi-transparent dots. Data is loaded from CSV files using `d3.csv`, and the static Albers USA territories projection comes from the `geo-albers-usa-territories` library. The visualization is built with React components and uses `d3` v5 for data handling and map generation.

78% match

Multiple Views NBA team

This visualization presents a map of NBA team locations across the United States, with team abbreviations plotted as text labels. The map uses D3's `geoAlbers` projection and `geoPath` to render state boundaries and graticules, while team positions are calculated via the projection function and displayed as SVG text elements. The data originates from a CSV file containing team latitude and longitude coordinates. The visualization is built with React and D3 v5, rendering entirely as SVG within a single view.

77% match

Fork of NBA_TEAM

This map of NBA team locations uses D3 v5 projections with `geoAlbers` to render U.S. state boundaries and team positions. The code plots each team as a large gray circle at its latitude and longitude, with the team abbreviation as text labels. It retrieves data from a CSV URL and TopoJSON from the us-atlas package, combining React state hooks with D3's `geoPath` and `geoGraticule` APIs. The visualization also includes state interiors and graticule lines for geographic context, using SVG rendering within a React component.