Animating Scatter Plot with menus

100%

Animating Scatter Plot with menus

✓ Published1🌍 Public

Last edited Aug 24, 2023

Created on Aug 24, 2023

Forked from Before refactoring Animating Scatter Plot

This interactive scatter plot visualizes the Iris dataset, letting users dynamically choose which flower measurements to plot on each axis via dropdown menus. The visualization animates circle positions smoothly between states using D3 transitions with staggered delays. Built with D3 v7 in a React-compatible structure, the code leverages scaleLinear, axisBottom, axisLeft, and custom reusable menu and scatterPlot functions. SVG rendering displays all plotted points, with axis labels updating to reflect the selected measurement columns.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Reusable D3 Scatter Plot (animated, menu)

This interactive scatter plot visualizes the Iris dataset, letting users dynamically select which flower measurements appear on the X and Y axes through two dropdown menus. Built with React and D3 v7, the visualization uses reusable chart components and SVG rendering to display data points as animated circles that smoothly transition between positions when axis selections change. The scatter plot employs d3.scaleLinear for coordinate mapping, d3.axisLeft and d3.axisBottom for scales, and d3.transition with a 1000ms duration to animate circle movements, while d3.csv loads the dataset from a remote URL.

PPeiyang Li

94% match

Loading thumbnail…

Fork of Animating Scatter Plot with menus

This interactive scatter plot displays the classic Iris dataset, allowing the user to switch which of the four flower measurements (sepal and petal length and width) are mapped to the X and Y axes via dropdown menus. Built with D3 v7, it uses `scaleLinear` for axes, `transition` for animated point movement, and `axisLeft`/`axisBottom` for tick marks. A custom `menu` module manages the dropdowns, using `dispatch` to trigger updates that re-draw the SVG circles with a staggered delay.

GGayan Priyadarshana

93% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to select which flower attributes appear on the x- and y-axes via dropdown menus. It renders each observation as a circle using React with SVG, positioning points through d3.scaleLinear and d3.extent. The visualization updates dynamically when the user changes the selected attributes, with corresponding axis labels and tick marks generated by custom AxisBottom and AxisLeft components.

GGayan Priyadarshana

93% match

Loading thumbnail…

Animated Scatter Plot with Menus

This interactive scatter plot, built with React and D3, visualizes the Iris dataset, allowing users to dynamically select which sepal and petal measurements to display on the x- and y-axes through dropdown menus. The visualization employs animated transitions, using D3's `transition` API to smoothly move the circles between positions as the axes change. The plot is rendered as an SVG, with axes drawn using D3's `axisLeft` and `axisBottom` functions, and the dropdown menus are created using a custom D3 module. The data is loaded from a CSV file using D3's `csv` function.

Rroyable88

93% match

Loading thumbnail…

11. Animated scatterplot with menus

This interactive scatterplot visualizes the Iris dataset, allowing users to select which quantitative attribute maps to the x- and y-axes via dropdown menus. Points smoothly animate to new positions with a staggered delay using D3 transitions when axes change. Built with D3 v7 and React, the visualization uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for scales and axes, while the custom `scatterPlot` and `menu` modules handle SVG rendering and event-driven updates.

Kktshim@snu.ac.kr

93% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between different flower measurements by selecting which attributes appear on the x and y axes via two dropdown menus. The visualization is built using React with D3.js v6, rendering SVG circles with tooltips that show precise values on hover. The code uses D3's `scaleLinear`, `extent`, and `format` functions for axis scaling and tick formatting, while the custom `AxisBottom`, `AxisLeft`, `Marks`, and `Dropdown` components demonstrate a modular approach to building interactive charts within a React framework.

CCodeDuckie99

93% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot displays the Iris Dataset, allowing viewers to explore relationships between different floral measurements by selecting which attributes to plot on the X and Y axes through two dropdown menus. Built with React and D3 v5, it uses the `scaleLinear` API to map data to SVG coordinates, with custom `AxisBottom`, `AxisLeft`, and `Marks` components rendering the axes and circle glyphs. The visualization updates dynamically when menu selections change, and each data point includes a native SVG tooltip showing its value.

Jj-PGi

93% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, letting users explore relationships between measurements by selecting which attributes appear on the x- and y-axes via dropdown menus. The visualization uses React with D3 v5 to render SVG circles, with scales and axes built through d3.scaleLinear and d3.axis components. Data is loaded asynchronously from a CSV file using d3.csv, and axis labels update dynamically based on menu selections.

Ccynichole

93% match