Update d3.js data with button press

100%

Update d3.js data with button press

✓ Published0🌍 Public

Last edited May 2, 2016

Created on May 2, 2016

Clicking the Update button swaps the visible line chart from one dataset to an alternative CSV file, animating the change over 750 milliseconds. The example demonstrates how to rebind D3.js v3 selections to new data by re-calling the same line and axis generator functions within an `onclick` handler. It uses `d3.svg.line`, `d3.time.scale`, and `d3.svg.axis` to render the SVG path and axes, with transitions applied via `selection.transition().duration()`. The underlying data comes from two local CSV files with date and closing-value pairs.

AI-generated description

This is a follow on from the simple d3.js graph used as an example in the book D3 Tips and Tricks.

It demonstrates the loading of new data and updating a graph on a button press. It should be taken in context with the text of the book which can be downloaded for free from Leanpub.

forked from <a href='http://bl.ocks.org/d3noob/'>d3noob</a>'s block: <a href='http://bl.ocks.org/d3noob/7030f35b72de721622b8'>Update d3.js data with button press</a>

Similar vizzes

Loading thumbnail…

Update d3.js data with button press

This example demonstrates how to update a line graph by pressing an "Update" button. It uses D3.js version 3.5.17 to render an SVG line chart of date and closing value pairs. The interaction is handled by an HTML `onclick` event that triggers the `updateData()` function, which re-fetches a different CSV file (`data-alt.csv`). The axes and line path are then updated with a smooth 750-millisecond transition, showing how to dynamically replace the dataset and rescale the visualization.

Dd3noob

90% match

Loading thumbnail…

Update and revert graph data

Two line charts share a common set of axes, displaying date-based stock closing values. Clicking the "Update" button loads alternate data (`data-alt.csv`) and animates the line and axis ranges over 750 ms using D3 transitions, while "Revert" returns to the original `data.csv` dataset. The visualization uses D3's `d3.time.scale`, `d3.scale.linear`, `d3.svg.line`, and `d3.svg.axis` to render the SVG line and axes, with `.transition()` on the `d3.select("body")` selection to smoothly interpolate the path and axis scales.

Dd3noob

79% match

Loading thumbnail…

Changing data

An interactive chart uses D3 to display circles representing two datasets. Clicking a button switches between datasets, triggering D3 transitions that animate the circles to their new positions and radii. The SVG rendering uses D3’s selection, data joins, enter/exit, and transition API to smoothly update the visualization, with a text label that updates accordingly.

SSerhii Ponomarov

78% match

Loading thumbnail…

Data Updating

This example demonstrates dynamic data updating in a bar chart built with D3.js v6 and rendered as SVG. The interactive visualization allows users to add or update data entries via input fields, triggering smooth transitions on bar widths as weights change, while axis scales adjust accordingly. Users can also filter the displayed data by setting a minimum weight threshold. The code employs `d3.csv` for data loading, `d3.scaleLinear` and `d3.scaleBand` for scales, and the data join pattern with `enter`, `merge`, and `exit` selections, alongside `transition` and `d3.axisLeft`.

DDasbach.EJ

75% match

Loading thumbnail…

D3 transition example with the data() method

This example demonstrates how D3 transitions can animate bar chart updates when switching between two datasets. The bar chart displays Nobel Prize winner counts by country, with a button toggling between original and modified data values. Using D3 v7, the code leverages the `data()` method with a key function, `join()`, and chained `.transition()` calls to smoothly update bar positions, heights, and axes over 2 seconds. SVG elements and `d3.scaleBand` and `d3.scaleLinear` scales handle the rendering. Axis transitions animate tick label rotations and value changes.

AAxVa 🐍 💪

74% match

Loading thumbnail…

Untitled

A line chart displays stock closing prices over time for two datasets. An "Update" button triggers an animated transition between the datasets, smoothly interpolating both the line path and the x- and y-axes using D3.js transitions with a 750-millisecond duration. The visualization uses d3.svg.line, d3.time.scale for time-based x-axis formatting, and d3.svg.axis, with data loaded from CSV files via d3.csv. The SVG path and axes are updated in place, demonstrating dynamic data swapping.

CChase Hall

74% match

Loading thumbnail…

Update graph data automatically

A line chart of stock closing prices automatically refreshes with a new dataset every five seconds. Built with D3.js version 3, the visualization uses `d3.csv` to load two CSV files, `d3.time.scale` for the date axis, and `d3.svg.line` for the path. A `setInterval` triggers the update, which transitions the line and axes over 750 milliseconds using D3’s `.transition()` and `.duration()` methods. The SVG rendering relies on standard D3 SVG elements and selectors to swap the data seamlessly.

Dd3noob

74% match

Loading thumbnail…

Changing data

Two datasets of varying circle sizes and counts are displayed along a horizontal axis. A button click uses `d3.select` and event listeners to toggle between datasets, demonstrating D3’s data join pattern with `data()`, `enter()`, and `exit()`. New circles appear via `append` with an initial radius of zero, while all circles transition with `transition().duration(500)` to update their `cx` and `r` attributes, and the dataset label changes via `select("text").text()`. The SVG elements are rendered as orange, semi-transparent circles.

WWarren-Fitzhenry

74% match