Untitled

100%

✓ Published0🌍 Public

Last edited Jun 18, 2020

Created on Jun 18, 2020

Forked from Untitled

This interactive visualization displays dated events as colored circles along a timeline, with a draggable slider and play button controlling the temporal view. A single circle represents each entry in the `circles.csv` dataset, positioned by date and colored using `d3.hsl` based on the date value. The animation smoothly transitions circle radii as new data points appear. The code leverages d3.v4 APIs including `d3.scaleTime`, `d3.drag`, and `d3.csv`, rendering SVG elements with a React-compatible setup. A step function advances the slider position, triggering updates to the plot.

AI-generated description

A bare minimum HTML page.

Similar vizzes

Loading thumbnail…

Untitled

A temporal scatterplot displays circles representing entries from a CSV file, each positioned along a time axis based on parsed dates. A draggable slider with a play button animates through the timeline, revealing circles that grow in size upon entry. The visualization uses D3 v4 with SVG rendering, leveraging d3.scaleTime, d3.drag, and d3.csv to handle date parsing, slider interaction, and data loading within a React framework.

NNathanGBIM

92% match

Loading thumbnail…

Untitled

This interactive visualization displays regional population data over time, where each region appears as a color-coded circle whose radius corresponds to a selected year’s population value. A slider controls the year from 1946 onward, triggering a smooth transition that resizes the circles to reflect changing data. The SVG renderer uses D3.js v3 scales and axes, with circle positions fixed by an ordinal x-axis and a linear y-scale for sizing. Hovering reveals tooltips with region and population details, while the data is loaded from an external CSV file.

Ssgalhamdani

80% match

Loading thumbnail…

Untitled

Five circles sit on a shared horizontal axis, each sized by a value from the current dataset. A button switches between two data arrays, triggering a one-second transition that repositions circle radii and x-coordinates. Using D3.js v6 with SVG and animation, the code employs data joins, `enter`/`exit` selections, and `transition` to update the visualization. An axis line and a title label (highlighting the active dataset) complete the chart, which renders entirely in the browser.

Ssgzzhinde

79% match

Loading thumbnail…

Untitled

An interactive time-series line chart displays daily, weekly, and monthly aggregations of value and quantity data from a CSV file. Buttons allow switching between these temporal resolutions, with the line path redrawing accordingly. Tooltips appear on mouseover, and the chart uses D3 v3 APIs including `d3.csv`, `d3.time.scale`, `d3.bisector`, and `d3.svg.axis`, with an SVG canvas and smooth animation during transitions.

Ggabrielribeirob

78% match

Loading thumbnail…

Untitled

This example shows how D3.js can animate transitions between two different datasets, displayed as orange circles along a horizontal axis. The circles’ radii and horizontal spacing are derived from each dataset’s values, and a button toggles between the two arrays. The implementation uses `transition()` to animate the circles’ `cx`, `cy`, and `r` attributes over 500 milliseconds. The code relies on D3’s selection and `.enter()`/`.exit()` methods to add or remove circles when the dataset changes, with SVG elements for rendering.

Ssgalhamdani

78% match

Loading thumbnail…

Untitled

This example visualizes a time series of a single numeric value over approximately 90 daily data points, displaying both a filled area chart and an overlaid line with red circular markers. The chart uses a time-scaled x-axis and a linear y-axis, with axes rendered via `d3.axisBottom` and `d3.axisLeft`. It loads comma-separated data from a remote URL, parses dates with `d3.timeParse`, and builds the area and line paths using `d3.area` and `d3.line`. The visualization is rendered as SVG within a React-compatible setup using D3 v4.

Wwannurmawaddah

78% match

Loading thumbnail…

Untitled

This interactive scatterplot explores yearly changes across seven data categories (A–G), displaying each category as a dot plotted along an ordinal x-axis of bars. Users navigate between years with left and right arrow keys, with an automatic playback feature advancing through the dataset. Built with React and D3.js v3, the visualization uses SVG rendering with `d3.scale.ordinal`, `d3.svg.axis`, and `d3.scale.category10` for color encoding. Data loads from an external CSV file, and the chart includes keyboard event handling and dynamic axis updates.

TThandolwethu Shakes Dlamini

78% match

Loading thumbnail…

Untitled

This interactive time series visualization displays daily count data from September 2018 to September 2019. Using D3.js version 3, it renders an SVG line chart with buttons to aggregate the data into weekly or monthly sums, with missing dates linearly interpolated. Hovering over the chart reveals tooltips and focus elements, while the axes are drawn using `d3.svg.axis`.

Ffaversin17

78% match