Scatter Plot with Menus

100%

Scatter Plot with Menus

✓ Published1🌍 Public

Last edited Dec 8, 2021

Created on Dec 8, 2021

This example shows an interactive scatter plot of the Iris dataset, where users can dynamically select which flower measurements to display on the X and Y axes via dropdown menus. The chart renders as an SVG using React components and D3 scales, with the `scaleLinear` function mapping the chosen attributes to pixel coordinates. Circle marks representing individual data points are drawn using the `Marks` component, while custom axes and labels are built from D3 tick values. The data is loaded from a CSV file using `fetch` and parsed with `csvParse`.

AI-generated description

Refactored Bar Chart.

MIT Licensed

Similar vizzes

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, letting users choose which flower measurements to compare on the X and Y axes. Two dropdown menus, built with React state, control the selected attributes; the chart updates the scales, axes, and labels accordingly. The visualization uses D3 v5 scales and SVG rendering through React components, with tooltips on each circle showing the formatted X value. Data is loaded asynchronously via d3.csv from a remote gist.

Ssophburke

96% match

Loading thumbnail…

Scatter Plot with Menus

A scatter plot of the Iris dataset rendered as an SVG in React, with dropdown menus that let the viewer change which flower measurements appear on the x- and y-axes. The plot uses d3.scaleLinear and d3.extent to map data to pixel coordinates, with custom React components for the axes and marks. Data is loaded as CSV via d3.csv, and each circle includes a native SVG title tooltip.

Wweny1109

96% 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

96% match

Loading thumbnail…

Scatter Plot with Menus

Interactive scatter plots of the Iris dataset allow users to select any of four numeric flower measurements for the x and y axes via dropdown menus built with React. The visualization uses D3 scales and SVG axes to render circles colored by default, with axis labels updating dynamically to reflect the selected attributes. Data is loaded asynchronously from a CSV using `d3.csv`, and React hooks manage the chart's state and re-rendering.

TTaweewat Somboonpanyakul

96% 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

96% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, featuring dropdown menus that let viewers select which numerical attributes to display on the x and y axes. The visualization renders data points as SVG circles using React components, with axes generated from D3 scales (scaleLinear) and tick formatting via the format function. Users can compare any combination of sepal and petal measurements, with axis labels updating dynamically to reflect the current selection. The chart loads CSV data asynchronously using D3’s csv parser, and menu interactions update state through React’s useState hook.

Vvesnaj

95% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to select which flower measurements appear on the x- and y-axes via two dropdown menus. The visualization uses React hooks (useState, useEffect) to manage state and data loading, while D3 v5 (scaleLinear, extent, max, csv) handles scales, axes, and CSV parsing. Rendered as an SVG, each data point appears as a circle with a tooltip showing its value. The menus update the axes and labels dynamically, using d3.format for tick labels and React components for modular rendering.

Jjanneprice

95% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to select which numeric attributes to plot on the X and Y axes via two dropdown menus. React state manages the selected attributes and triggers re-rendering of the SVG chart, while D3 (d3.scaleLinear, d3.extent) handles scaling and data loading from the CSV file. The chart includes labeled axes with tick marks and circles with tooltips for each data point.

CChristian Potdevin

95% match