fresh block

100%

✓ Published0🌍 Public

Last edited Feb 4, 2018

Created on Feb 4, 2018

A map of London shows a cluster of dots animating from radius one to radius six, each positioned by latitude and longitude from a CSV file. The visualization uses Leaflet with a Mapbox tile layer, and D3.js to render SVG circles that are projected to pixel coordinates and repositioned as the map pans or zooms, overlaid on the map’s overlay pane.

AI-generated description

Built with blockbuilder.org

mit Licensed

Similar vizzes

Loading thumbnail…

fresh block

Three points from a CSV file are plotted as glowing cyan dots on an interactive Mapbox map centered on a location in Mexico. The visualization uses Mapbox GL to render the base map and D3.js to overlay an SVG layer, projecting geographic coordinates to screen positions. Each dot animates from a small radius to a larger one using D3 transitions. The dots re-project whenever the map is panned or zoomed, ensuring they remain anchored to their geographic locations.

MMarcosHiramRojasSosa

79% match

Loading thumbnail…

fresh block

A map of Lyon displays bike-sharing station locations as animated dots that grow on load, colored by availability status. The visualization pairs a Mapbox.js and Leaflet map with D3.js to project station coordinates onto an SVG overlay layer. Hovering over a dot opens a tooltip with station details, while the data also supports an accompanying bar chart of station metrics. Station information comes from a JSON file and updates via D3 transitions, with a d3-legend library included for potential map legends.

CChmits

78% match

Loading thumbnail…

dots on a map: setup

A Leaflet map displays a set of circular dots, each colored teal with a darker stroke, positioned over a street map of London. The visualization is built by combining the Leaflet mapping library with D3.js, which manages the SVG layer and handles data binding from a CSV file containing latitude and longitude coordinates. The dots animate their radius from 1 to 6 pixels via a D3 transition. On map pan or zoom, the projection and positions are recalculated and re-rendered, keeping the dots aligned with the geographic locations.

KKerchoo

77% match

Loading thumbnail…

fresh block

An interactive map of bike-share stations in Lyon displays each station as a circle whose position is projected onto a Mapbox-backed Leaflet map using D3. Loading station data from a local JSON file, the visualization animates circle emergence and provides a previsions function that appends a separate bar chart, though its data binding is incomplete. The map layer uses D3 to append an SVG overlay, and hovering interactions are defined for tooltips, though the chart itself is not fully implemented.

CChmits

76% match

Loading thumbnail…

fresh block

This visualization displays five data points as circles positioned along a chart area. The circles are colored either purple or green depending on whether their value exceeds 100, with each point’s x and y coordinates equal to its data value. Built using d3.v4, the code appends an SVG canvas to the page and populates it with circles via the `.data().enter().append()` pattern. The fill color is determined by a conditional function, and the circle radius and positions are set using SVG attributes. The data is a hardcoded array in the script.

LLisaPicado

74% match

Loading thumbnail…

fresh block

This example shows a simple line chart with circular dots plotted against a linear scale, where both axes use a value range of 0 to 1. The visualization begins with a static rendering, but the dots respond to mouseover and mouseout events, changing color to red and scaling up briefly before returning to black. The code uses D3 v4 with `d3.scaleLinear`, `d3.line`, and `d3.axisBottom`/`d3.axisLeft` to generate the chart, while SVG circle elements handle the interactive hover behavior via `transition().duration(500)`. Data is randomly generated with `d3.randomUniform`, and the chart fills the browser window.

663anp3ca

74% match

Loading thumbnail…

fresh block

This visualization displays three red circles on a blank canvas. It uses the D3.js v4 library to select the body element, append an SVG container, and bind an array of three numeric values as the primary dataset. The circles are then rendered using the `.data().enter().append()` pipeline, with the numeric values directly mapped to both the x and y coordinates using the `.attr("cx")` and `.attr("cy")` methods. The radius is fixed at 5 pixels, and all circles are filled with the color red.

KKerchoo

74% match

Loading thumbnail…

fresh block

This example shows a spinning orthographic globe with continent outlines, rendered as SVG paths. The map rotates continuously using a `d3.timer` that updates the projection’s rotation, while `d3.geoPath` redraws the continent geometry each frame. The globe is styled with a light blue background and uses GeoJSON country data loaded from a remote URL. Although a CSV file with city pollution data is included, it is not referenced in the code. The visualization relies solely on D3 v4’s geographic and timer utilities.

CCanaramour

74% match