Skip to main content
SimilarExport ZIP
100%

Interactive Barchart

✓ Published0🌍 Public
CChenYb9807
Last edited Dec 12, 2021
Created on Dec 11, 2021

This interactive bar chart displays the volume of user behavior activity across 24 hours for a selected date. A dropdown menu allows the user to choose from unique dates in the dataset, triggering a smooth transition animation as bars grow to their new heights. The chart is rendered as SVG using D3 version 7, with bars that respond to mouse hover by dimming others and showing a tooltip with the hour and activity count. The code leverages D3's `transition` API, `join` for updating marks, and custom `menu` and `interactiveBar` modules, pulling data from a CSV file hosted on GitHub.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Animated Bar Chart w/ dropdown

This example presents an animated bar chart where users can toggle between revenue and profit metrics via a dropdown menu. The chart loads monthly financial data from a CSV file and renders it as SVG rectangles using D3 v7's `scaleBand` and `scaleLinear`. Selecting a different option triggers a `transition` that smoothly animates the bars to their new heights over 750 milliseconds. The visualization uses D3's `select` and `property` methods to handle the dropdown interaction, demonstrating dynamic data binding and transitions.

AAdan Rodriguez
79% match
Loading thumbnail…

Barchart

This interactive bar chart displays multiple data series as colored bars, with buttons allowing users to toggle between grouped and stacked layouts and show or hide individual series. The chart uses D3 v6 with SVG rendering and animated transitions. Data is generated procedurally using a bump function that creates smooth, pseudo-random positive values. Tooltips show precise values on hover, while radio-style buttons and series toggles control the visualization state.

Ppsabela
77% match
Loading thumbnail…

Document

This interactive bar chart shows monthly values for a selected year, with a slider controlling the year from 2009 to 2014 and a smooth 2-second transition animating the bars to their new heights and colors. The visualization uses D3 v4 with a band scale for months, a linear scale for values, and a quantile color scale to encode magnitude. Data is loaded from six CSV files using d3.queue, and the chart updates by merging entering and existing SVG rect elements via `selection.merge` and applying axis transitions.

Hhamzavg
76% match
Loading thumbnail…

Untitled

This interactive histogram displays the distribution of a single numeric variable (price) from a CSV dataset loaded from GitHub. Users adjust the number of bins via a numeric input, triggering a smooth animated transition of the bars. The visualization uses D3.js v5 with `d3.histogram`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` to compute bin counts and render SVG rectangles. The `transition().duration(1000)` API animates updates to the y-axis and bars, while enter/exit transitions add or remove rectangles as bin count changes.

AAbhishek Kumar
76% match
Loading thumbnail…

Taobao User Behavior Interactive Visualization

This visualization shows hourly Taobao user behavior counts across multiple dates, with a dropdown menu to select a specific day and circles connected by line segments displayed on SVG axes. The tooltip reveals exact counts on hover, and a checkbox toggles an average curve. Built with D3 v6, it uses d3.select for DOM manipulation, d3.scaleLinear for axes, d3.axisBottom/Left for ticks, and d3.line for rendering the average trend line with transitions. Data is embedded inline as JSON, containing hour-by-hour behavior counts for nine dates.

JJiang Zhu
75% match
Loading thumbnail…

Barchart

This example shows an interactive bar chart with multiple data series that can be toggled between grouped and stacked layouts via radio-button style controls. Additional buttons allow users to show or hide individual series. The visualization uses D3 v6 with SVG rendering and animated transitions, employing `d3.stack` to compute stacked values and `d3.scaleBand` and `d3.scaleLinear` for positioning. Data is generated procedurally using smooth random bumps, and mouseover interactions display tooltips with precise values.

Mmachetenwueter
75% match
Loading thumbnail…

barchart-sorted

This example shows an interactive, animated bar chart comparing height and weight percentages across eight administrative blocks. Users can switch between viewing height data, weight data, or their combined sum, as well as select among three months (August, September, October) via dropdown menus. The bars are sorted by the selected metric and colored using a sequential color scale with an RdYlGn interpolator. Built with D3 v5, the visualization uses `d3.scaleLinear`, `d3.scaleBand`, and `d3.axisLeft` for scales and axes, with transitions animating bar positions, heights, text labels, and the y-axis. Hovering over a bar reveals a tooltip with the block name and value, while the underlying SVG renders the chart and its table-like layout.

AAbirKhan96
75% match
Loading thumbnail…

Bar Chart interactive

This interactive bar chart visualizes a dataset of 50 random values, with bars colored on a blue scale and labeled with their numeric values. Clicking the text prompt triggers an update that replaces the data with 25 new random values, resizing the bars accordingly. Built with D3 v6, the example uses the scaleBand and scaleLinear APIs to map data to SVG rectangles, while the d3.select method binds the click event to the paragraph element.

DDasbach.EJ
75% match