Scatter Plot with Colors

Scatterplot with Color

This interactive scatterplot visualizes the Iris dataset, allowing users to explore relationships between four flower measurements. The chart uses dropdown menus to change which attributes appear on the x and y axes, with each of the three iris species represented by a distinct color. Built with React, the visualization uses D3 v7 scales for positioning and color encoding, rendering SVG circles with native `<title>` tooltips. The code leverages scaleLinear, scaleOrdinal, extent, and callback-driven state management.

Aalexandermodell

Scatter Plot with Colors

This interactive scatter plot displays the Iris dataset, visualizing relationships between different flower measurements. Users can select which attributes appear on the X and Y axes through dropdown menus. A color legend groups data points by species, and hovering over a legend entry dims all non-matching species marks. The visualization uses React with D3 v5 scales (scaleLinear, scaleOrdinal) and renders as SVG. The d3.csvParse function loads the dataset, while React state manages axis selections and hover interactions.

EEhtisham UL Hassan

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

Scatter Plot with Color

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between flower measurements and species. Two dropdown menus let viewers select which attributes appear on the x and y axes, while the three Iris species are distinguished by color. The visualization is built with React and D3 v5, using `scaleLinear` for axes, `scaleOrdinal` for categorical colors, and SVG circles for data points. Button controls update the chart state, re-scaling axes and repositioning marks in response to user selections.

Ee-ines

Scatter Plot with Color

This interactive scatter plot displays the Iris dataset, with dropdown menus enabling users to select which flower measurements appear on the x- and y-axes. Each point is colored by species using a D3 ordinal scale, and hovering reveals the sepal length via SVG circle titles. Built with React hooks for state management, the visualization uses D3 scales and the `csv` loader to parse data, while custom React components render the axes and marks.

MMario Ibarra

Scatter Plot with Color

This interactive scatter plot visualizes the Iris Dataset, using color to distinguish between the three flower species. Users can dynamically change which measurements appear on the x- and y-axes via dropdown menus, allowing exploration of the dataset's relationships. The visualization is built with React and D3 v5, using React hooks for state management and D3 scales for positioning and color encoding. SVG circles are rendered as marks, with each point displaying a native title tooltip.

MMichael Bruno

Scatter plot with color legend

This interactive scatter plot of the Iris dataset lets users explore relationships between four flower measurements by selecting which attributes appear on the x- and y-axes via two dropdown menus. Points are colored by species using a color legend built with React components. The visualization uses d3.scaleLinear for positioning, d3.scaleOrdinal for color mapping, and renders axes and marks as SVG elements within a React framework, with data loaded asynchronously via d3.csv.

AAndrea Picciau

ScatterPlot With Color

This interactive scatter plot visualizes the Iris dataset, displaying the relationship between selected flower measurements with points colored by species. Users can change the x and y axes using React Dropdown menus, with D3 scales determining the plot extents. The visualization uses React with D3 v5 APIs such as `scaleLinear`, `scaleOrdinal`, `extent`, and `csv` for data loading, rendering circles as SVG marks with a color legend.

PPedro Henrique Vanali