Metro Data

100%

✓ Published0🌍 Public

Last edited Jan 7, 2018

Created on Jan 7, 2018

This bar chart visualizes the frequency of Washington Metropolitan Area Transit Authority (WMATA) SmarTrip card transactions by day of the week, aggregated across all weeks in the dataset. Each bar represents the total number of recorded trips/activities for a particular weekday, with the x-axis using an ordinal band scale for days and the y-axis a linear scale for counts. The visualization reveals the user's weekly travel patterns by summing all entries for each weekday. The chart is rendered as a static SVG with a dark gray background and simple, clean bars, providing a quick overview of relative daily ridership volume.

AI-generated description

Similar vizzes

Loading thumbnail…

Interactive and attempting to be more DRY with the code

This interactive visualization tracks a SmarTrip fare card’s balance over time, plotting each transaction from a Metro rail CSV as an animated SVG line chart. The code organizes shared logic (axes, scales, and rendering) into reusable functions, avoiding repetition. Data points—entries, exits, and sales—are distinguished by color and shape, with tooltips showing route segments and fare changes. The animation plays through the chronological sequence, highlighting the card’s declining balance as the commuter taps in and out between Tenleytown-AU and L'Enfant Plaza.

AAlexDaGr8

73% 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

69% match

Loading thumbnail…

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.

Vvillagef

67% 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

67% match

Loading thumbnail…

green bar chart

This green bar chart visualizes the active device count for each day of the week, with bars colored in a dark green that lightens to gray on hover. The visualization uses D3 v4 to load tab-separated data from `data.tsv` and render an SVG bar chart, employing `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis. The y-axis is styled green with custom tick labels, while the x-axis is hidden, and a title in large green text sits above the plot. The code explicitly uses `d3.tsv` to parse the data and `d3.axisLeft` to generate the frequency axis.

JJoelBCarter

67% 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

66% match

Loading thumbnail…

Temperature Visualization

This interactive line chart uses the D3.js brush-and-zoom technique to explore hourly bike-sharing usage in Washington DC, highlighting how the number of users correlates with temperature. The visualization, built with D3 v4 and rendered as SVG, displays temperature as a colored line over a two-year period (2011-2012). Users can brush along the lower time-series context chart to select a time range, and the main panel zooms in to reveal finer-grained patterns. The chart is part of a broader exploratory project investigating relationships between rider counts and weather attributes like temperature, humidity, and windspeed. Data comes from the UCI Machine Learning Repository's Bike Sharing dataset, and the implementation builds on prior work by mbostock and curran, with the source code available under an MIT license.

663anp3ca

66% match

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

65% match