Fork of polished scatterplot with color

100%

Fork of polished scatterplot with color

✓ Published1🌍 Public

Last edited May 14, 2022

Created on May 14, 2022

Forked from polished scatterplot with menus

This interactive scatterplot visualizes the Iris flower dataset, allowing users to select which numeric attributes appear on the X and Y axes via ReactDropdown menus. The plot encodes flower species through a d3.scaleOrdinal color scale applied to circle marks. The visualization is built with React and D3 v7, using d3.scaleLinear for axes, d3.extent for domains, and d3.csv to load the remote dataset. SVG rendering displays axes and marks, with a tooltip via the title element.

AI-generated description

Half of the smiley HTML page.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Scatterplot with Color Legend

This interactive scatterplot visualizes the Iris flower dataset, allowing users to compare different measurements (sepal and petal length and width) by selecting from dropdown menus. React manages the UI state and rendering while D3 utilities (scaleLinear, scaleOrdinal, extent, csv) handle data loading, scales, and axes. Points are colored by species using an ordinal color scale, with native SVG tooltips providing values on hover. The visualization demonstrates a hybrid approach where D3 calculates scales and CSV parsing, while React components render the SVG elements.

Nnexus1058

92% match

Loading thumbnail…

Fork of Scatterplot with Select

This interactive scatterplot displays the Iris flower dataset, allowing users to select which numerical attributes appear on the x- and y-axes via two dropdown menus. The visualization updates the scales and circles dynamically based on user choices, with axes and labels reflecting the selected measurements. Built with React and D3 v7, the code uses `scaleLinear` from `d3-scale` to map data values to screen coordinates and renders circles as SVG marks. The data is loaded asynchronously from a CSV file using `d3.csv`, with each point representing a flower sample.

Aafcchilders

92% match

Loading thumbnail…

Fork of Scatter Plot with Menus and Colour and Legend

This interactive scatter plot visualizes the Iris dataset, letting users explore relationships between four flower measurements by switching the X and Y axes via dropdown menus. Each point is colored by species, with a legend clarifying the color encoding. The visualization is built with React functional components and renders SVG marks using D3 v5 scales. It leverages `d3.scaleLinear` for axes, `d3.scaleOrdinal` for categorical colors, and React state hooks to manage attribute selections.

NNikita Toropov

92% match

Loading thumbnail…

Fork of Scatter plot with color legend

This visualization displays the Iris dataset using an interactive scatter plot with linked dropdown menus for selecting the X and Y axes. Each point represents a flower specimen, colored by species with a corresponding color legend on the right side. The code uses React with hooks for state management and d3-scale's scaleLinear, scaleOrdinal, and extent functions, while rendering axes and marks as SVG elements through custom React components.

SShuyu Zheng

91% match

Loading thumbnail…

Fork of Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris flower dataset, encoding each observation as a colored circle based on its species. Dropdown menus allow viewers to switch which flower measurements appear on the x- and y-axes. The React component uses `useState` to manage axis selections, while D3 v5 functions like `scaleLinear`, `scaleOrdinal`, and `extent` handle scaling and domains. Axes are drawn as SVG elements in separate `AxisBottom` and `AxisLeft` components, and `Marks` renders the circles with tooltips, all styled with a Poppins font.

Rravencyan

91% match

Loading thumbnail…

Scatterplot with Color

This interactive scatterplot visualizes the Iris Dataset, with dropdown menus allowing users to select which flower measurements appear on the x- and y-axes. Each point represents an individual iris flower, colored by species using a d3.scaleOrdinal with three categorical colors. The React-based interface uses d3.csv for data loading, d3.scaleLinear for axis scales, and SVG circles rendered via React components for the marks. Axis components generate ticks and labels using D3 scale methods, while the axis labels and menus update dynamically based on user selections.

JJun Suzuki

91% match

Loading thumbnail…

Fork of Polished Scatter Plot with Menus

This example visualizes the Iris Dataset as an interactive scatter plot, allowing users to dynamically select which floral measurements appear on the x- and y-axes via React Dropdown menus. The species of each iris is distinguished by color using a d3.scaleOrdinal with a categorical range. Built with React and D3 v5, the visualization renders circles as SVG marks, with axes generated by custom components that use d3.scaleLinear for positioning and d3.format for tick labels. The data is loaded asynchronously from a CSV URL using d3.csv.

SSam

91% match

Loading thumbnail…

Fork of Scatter Plot with Color

This scatter plot visualizes the Iris dataset, mapping petal length and sepal width for individual flowers. Each circle is color-coded by species using a d3.scaleOrdinal with a custom range, and axes are rendered with d3.scaleLinear and custom React components. The d3.csv loader parses numeric fields, while React components handle SVG rendering of axes and marks.

Oonceup

91% match