D3 — VizHub

100%

D3

✓ Published0🌍 Public

Last edited Nov 14, 2020

Created on Nov 14, 2020

Forked from D3

The visualization is a heat map showing monthly trip counts for Dubai Metro stations, displaying the top ten stations by total trips across the available months. Station names appear on the x-axis while month-year combinations form the y-axis, with color intensity representing trip volume. Built with D3 v5, the code aggregates trip data from a CSV file, then renders colored SVG rectangles that scale from white to green. Interactive tooltips appear on hover, showing the exact trip count for each station-month pair.

AI-generated description

Top 10 stations by month heat map

Heat map to show monthly activities by trip count on stations

MIT Licensed

Similar vizzes

Loading thumbnail…

D3

This heat map visualizes the top 10 metro stations in Dubai by total trip counts, with monthly activity shown across a grid of colored cells. The data is filtered from a CSV file containing station, month, and trip records, then aggregated to rank stations. Rendered as an SVG using D3 v5, the visualization employs `d3.scaleBand` for axes, `d3.scaleLinear` for color encoding, and interactive tooltips on hover to display specific trip numbers.

MMohit Y

94% match

Loading thumbnail…

D3

This visualization displays Dubai Metro station trip data as a treemap, where each block represents a station and is sized according to monthly trip counts, sorted into ranges. Clicking a range zooms into a detailed view ordered by trip volume, with a zoom-out button to reset. Built with D3 v5 and SVG, it uses d3.csv to load the dataset and scaleBand for layout, while the treemap structure is manually implemented via rectangular blocks rather than d3.treemap. The color scale uses d3.scaleLinear to encode trip values.

MMohit Y

90% match

Loading thumbnail…

D3

This visualization shows Dubai Metro trip counts for April and May 2020, grouping stations into ranges by order of magnitude (e.g., 10–99, 100–999 trips) via a D3 treemap. Users select a month from a dropdown, and clicking a range zooms into that subset, re-rendering the treemap ordered by trip numbers with a zoom-out button to reset. The code uses d3.csv for data loading, d3.treemap with d3.hierarchy for layout, d3.scaleSequential with interpolateCool for coloring, and SVG elements with clip paths and drop shadows for rendering.

MMohit Y

90% match

Loading thumbnail…

Monthly Data Visualization

This interactive bar chart visualizes monthly trip counts for Dubai Metro stations, allowing users to view either the top or bottom stations by selecting an option from a dropdown and specifying the number of stations via a numeric input. The visualization updates dynamically when the input value changes or the dropdown selection is altered. Built with D3 v5, it uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisLeft` and `d3.axisBottom` for the axes. Data is loaded from a local CSV file sourced from the DubaiPulse website, with user input validated against configured limits.

MMohit Y

87% match

Loading thumbnail…

D3 Heatmap

This heatmap visualizes the number of Uber rides per month and year, with months on the x-axis, years on the y-axis, and color intensity encoding ride counts. It uses d3.csv to load the dataset, d3.scaleBand for both axes, and d3.scaleSequential with a color interpolator to map counts to cell colors. The SVG is rendered with d3.axisBottom and d3.axisLeft, while cells are drawn as rects. Data is aggregated client-side by parsing timestamps into month-year pairs.

DDominic Fernandez

74% match

Loading thumbnail…

D3 - Heatmap

This heatmap visualizes impact magnitudes across locations and months from January to September 2016, using color intensity to convey variation. The D3.js v7 code loads CSV data via `d3.csv`, maps locations and months to x- and y-axes using `d3.scaleBand`, and fills rectangles with the sequential `d3.interpolateViridis` color scale. The SVG rendering includes axis labels, a chart title, and a grey background, with the heatmap cells styled with rounded corners and white strokes.

CChandana Srinivas

70% match

Loading thumbnail…

D3 Example

This visualization displays the temperature readings from a network of weather stations across Bangalore, with each horizontal bar representing a station and its temperature on the x-axis. The data comes from the Yuktix Open Weather Project API, accessed via `data.json`. The visualization uses D3.js to create an SVG bar chart, employing `d3.scale.linear` and `d3.scale.ordinal` for scales and `d3.svg.axis` for axes. A custom tooltip, implemented with a D3 text element, shows the temperature value on hover. Stations are sorted by temperature, and the bars use a Playfair Display font for a distinct aesthetic.

CCurran Kelleher

69% match

Loading thumbnail…

Gist 93888ff1e2e309348986d5e9496196c7

This example visualizes the locations of Dutch train stations, distinguishing intercity stations from regular ones through color-coded points. The map is built using D3.js, combining `d3.forceSimulation` with a custom force that projects coordinates onto a map layout, while station markers are rendered as circles. The visualization uses `d3.geoPath` to draw the geographic context, and the underlying data comes from a CSV file listing station names, coordinates, and intercity status. The rendering approach relies on Canvas, with the simulation handling the placement of labels and points to avoid overlap.

JJulesBlm

69% match