Scatter Plot with Menus

100%

Scatter Plot with Menus

✓ Published1🌍 Public

Last edited Aug 7, 2021

Created on Aug 7, 2021

This interactive scatter plot visualizes the Iris flower dataset, allowing users to select which numeric attributes appear on the x- and y-axes via dropdown menus. Built with React and D3 v5, it renders SVG circles for each data point, with axes generated through custom React components. The code uses `d3.scaleLinear` for scaling, `d3.extent` for domains, and `d3.csv` for loading data, while `ReactDropdown` provides the menu controls.

AI-generated description

Smiley face implementation with React.

MIT Licensed

Similar vizzes

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, allowing users to explore relationships between four flower measurements. Two dropdown menus independently select the attributes plotted on the x and y axes, with axes and labels updating accordingly. Built with React and D3 v5, it uses `scaleLinear`, `extent`, and `csv` for data loading and scaling. Points are rendered as SVG circles, with tooltips showing formatted values. The interface demonstrates a simple pattern for linking dropdown controls to dynamic axis updates.

CCurran Kelleher

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

This interactive scatter plot displays the Iris flower dataset, allowing users to compare any two attributes by selecting them from dropdown menus for the X and Y axes. The visualization updates dynamically, with axis labels and scales recalculating to reflect the chosen measurements. Built with React and D3 v5, it uses `scaleLinear` and `extent` to derive scales, renders SVG circles for each data point, and organizes its code into reusable components for axes, marks, and dropdowns. The data is loaded from a CSV file via D3’s `csv` function.

JJohn Patrick Banas

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

96% 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 dropdown menus. The plot uses React dropdowns to control the axes, with d3.scaleLinear for positioning and d3.scaleOrdinal for species-based coloring. Hovering over the color legend highlights points of a selected species, using React’s useState to manage the hovered value, while SVG circles render each data point with tooltips.

CCatalina Vajiac

96% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot, built with React and D3.js, displays the Iris flower dataset, allowing users to select which attribute is plotted on the x-axis and y-axis via dropdown menus. The visualization renders data points as circular marks within an SVG, with axis labels and tick marks generated using D3's `scaleLinear` and custom components. The menus update the selected attributes, triggering a re-render of the chart with the new scales, while a tooltip on each point shows its x-value.

SSerind Joshua McCue

96% match

Loading thumbnail…

Scatter Plot with Menus

This scatter plot visualizes the Iris Dataset, allowing users to explore relationships between four numeric flower measurements and species through interactive dropdown menus that control which attributes appear on the x and y axes. The visualization uses React to manage state for selected attributes, while D3.js handles the linear scales, axis generation, and data loading via `csv`. The SVG rendering displays circles colored teal, with axis labels updating dynamically based on menu selections.

Wwindwaver

96% match