Fork of Scatter Plot with Color, Legend and Menus

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

Fork of Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between four numeric attributes through dropdown menus that dynamically reassign the x and y axes. The visualization uses React for component management and state, d3.v5 for scales and CSV parsing, and renders SVG circles with tooltips showing formatted values. Users can switch between sepal and petal measurements, with axis labels updating accordingly to reflect the selected variables.

EEugenio2192

Scatter Plot with Color and Menus

A scatter plot of the Iris Dataset with interactive menus for selecting which attributes map to the x- and y-axes. The species of each flower determines the color of its circle, with a fixed ordinal color scale. The visualization uses React with the `react-dropdown` library to render the menus, and D3 v6 for data loading, scales, and SVG axis generation. Data is loaded from a CSV file using `d3.csv`.

SSonja Ek

Fork of Scatter Plot with Menus

A scatter plot of the Iris dataset with interactive dropdown menus for selecting which attributes to plot on the X and Y axes. Users can switch between sepal length, sepal width, petal length, petal width, and species. The visualization uses React for component state management and user interface, while D3 v5 handles data loading via `csv`, linear scales, and SVG rendering. The marks are circles with tooltips showing the X-axis value.

Vvigneswaran009

Fork of Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, letting users switch which flower measurements (sepal length, sepal width, petal length, petal width, or species) appear on the x- and y-axes via dropdown menus. Built with React and D3 v5, the visualization renders SVG circles for each data point, with axes generated using custom scale functions and tick components. The code includes interactive dropdown components that trigger state updates, allowing real-time switching between the dataset’s numeric attributes.

BBjoernujjwb

Fork of Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, with dropdown menus controlling the attributes mapped to the x and y axes. The visualization is rendered using React and D3 v5, leveraging `d3.scaleLinear`, `d3.extent`, and `d3.format` to compute scales and tick formatting. Each data point is drawn as a circle with a tooltip showing its x-value. Selecting different attribute combinations updates the axes and marks dynamically, allowing exploration of relationships among sepal and petal measurements.

Rrajamrit-singh

Fork of Scatter Plot with Menus

This interactive scatter plot displays the classic Iris dataset, allowing users to explore relationships between four measured attributes and species through dropdown menus that dynamically reassign the x- and y-axes. Built with React and rendered as SVG using D3 v5, the visualization updates scales and marks via state changes triggered by the dropdown selections. The code leverages `scaleLinear`, `extent`, and `csv` for data loading and scaling, with custom React components for axes, marks, and menu controls.

XXiaoyu Su

Fork of Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to select which quantitative attributes appear on the x- and y-axes through two dropdown menus built with React state. The visualization is rendered as an SVG, with axes and circles generated by D3 v5 scales and React components. Data is loaded asynchronously from a CSV file using d3.csv, and the plot updates dynamically when dropdown selections change.

EEdgar Alves