Scatter Plot with Color Legend

Scatter Plot with Color Legend

This interactive scatter plot visualizes the Iris dataset, allowing users to compare sepal and petal measurements across three flower species through dropdown menus for the x and y axes. Each point is colored by species using a d3.scaleOrdinal color scale with an accompanying legend. Built with React and D3 v6, the visualization renders as an SVG and uses d3.scaleLinear for axes, d3.extent for domain calculation, and d3.csv for data loading.

LLaura Johnson

Scatter Plot with Color Legend

This interactive scatter plot visualizes the Iris flower dataset, plotting sepal and petal measurements against each other. Users select X and Y axes from dropdown menus, with points colored by species and a color legend identifying the three categories. The visualization uses D3 v5 scales and axes (scaleLinear, AxisBottom, AxisLeft) within a React framework, rendering SVG circles via the Marks component. Data is loaded asynchronously from a CSV file using d3.csv, with ordinal color encoding via d3.scaleOrdinal and react-dropdown handling user selections.

Ccynichole

Scatterplot with Color Legend

This interactive scatterplot visualizes the Iris flower dataset, letting users explore relationships between sepal and petal measurements via dropdown menus that select the x and y axes. The chart displays points colored by species through a D3 scaleOrdinal color legend. Built with React and D3 v5, it renders as SVG using d3.scaleLinear for axes, d3.extent for domains, and custom React components for axes, marks, and the color legend.

MMark Lam

Scatter Plot with Color Legend

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements across three flower species. Two dropdown menus let viewers select which attributes appear on the x and y axes, while a color legend distinguishes species using d3.scaleOrdinal. The visualization uses React to manage state and render SVG elements, with D3 scales (d3.scaleLinear, d3.extent) handling coordinate mappings and axes. Data loads asynchronously via d3.csv from a remote source.

Ttharuta

Scatter Plot with Color Legend

This interactive scatter plot visualizes the Iris flower dataset, enabling users to explore relationships between sepal and petal measurements across three species. The visualization uses d3.scaleLinear for x and y positioning, d3.scaleOrdinal for color encoding by species, and renders marks as SVG circles. React state management updates dropdown selections for axes, while d3.csv loads the external dataset. A color legend using d3.scaleOrdinal domain values identifies species, with axes built through custom React components.

Ee-ines

Scatter plot with Colors Legend

This interactive scatter plot visualizes the Iris dataset, displaying sepal and petal measurements along the x- and y-axes while using color to distinguish species. Users can select which attributes to plot from dropdown menus. The visualization uses React with D3’s `scaleLinear` for axes, `scaleOrdinal` for color encoding, and renders SVG circles with tooltips. A color legend maps species to distinct colors, with axis labels and tick marks generated by custom React components.

Kkragovic

Scatter Plot with Color Legend

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between different measurements (sepal length, sepal width, petal length, petal width) by selecting attributes for the x and y axes via React dropdown menus. The visualization uses d3.scaleLinear for axes, d3.scaleOrdinal for color encoding of species, and renders circles as SVG marks. React state management tracks the selected attributes, while d3.csv loads the data and d3.format formats axis tick labels, with a color legend indicating species.

CChristian Potdevin

Scatter Plot with Color Legend

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements across three flower species. Dropdown menus let viewers switch the X and Y axes among four numeric attributes, while a color legend distinguishes species using d3.scaleOrdinal with three categorical colors. The visualization renders as SVG using React components, with d3.scaleLinear handling axis scales and d3.extent computing domains. Marks are drawn as colored circles with tooltips showing values. The data loads asynchronously via d3.csv from a GitHub gist.

MMichael Bruno