Fork of Polished Scatter Plot with Menus

Fork of Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between sepal and petal measurements by selecting attributes for the x and y axes from two dropdown menus. Built with React and D3 v5, it renders SVG circles and axes using components like `scaleLinear` for scaling and `extent` for domains. The visualization updates dynamically through React state management, with dropdowns provided by ReactDropdown, and styling applied via Poppins typography.

MMar-99

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. The visualization uses D3.js scaleLinear for axis scaling and extent for domain calculation, with React managing the interactive dropdown menus. Users can select which attributes to plot on the X and Y axes via react-dropdown components, triggering state changes that update the SVG circles and axis labels accordingly. The plot renders using SVG elements, with each data point displayed as a circle with a tooltip showing its value.

AAnnie Ulichney

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements across species. Two dropdown menus, built with ReactDropdown, dynamically control which attributes appear on the x- and y-axes, with axes and labels updating accordingly. The visualization uses React for component structure, D3 v5 scales and CSV loading via `d3.csv`, and renders circles as SVG marks with tooltips. Styling uses Poppins font and a clean, minimal aesthetic.

PPiotr Paszek

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, displaying measurements of sepal length, width, and petal length and width as points. Dropdown menus let users select which attributes appear on the x and y axes, with axis labels updating accordingly. The React-based visualization uses D3 v5 scales and axes, with SVG circles representing data points and tooltips showing formatted values on hover.

Ttopnep

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, displaying measurements of sepal and petal dimensions. Users can dynamically switch between four quantitative attributes for both the X and Y axes using ReactDropdown menus, while color encodes species via d3.scaleOrdinal. The visualization is built with React and d3.v5, rendering SVG circles and axes through custom components, with data loaded asynchronously using d3.csv.

Zzyniax

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements through dropdown menus that select which attribute appears on each axis. The visualization renders as SVG using React components, with D3 v5 handling data loading, scales, and axis generation. The implementation uses `useState` hooks to manage the selected attributes and ReactDropdown for menu interactions, while the `Marks` component renders circles with tooltips showing formatted values.

SSnapika

Fork of Polished Scatter Plot with Menus

An interactive scatter plot of the Iris dataset displays measurements like sepal length and petal width, letting users change which attribute appears on each axis via ReactDropdown menus. The visualization uses React for component structure and SVG for rendering, with d3.scaleLinear for axes and d3.csv for data loading. Circles represent individual flowers, and hovering reveals the numeric value through a native SVG title tooltip.

JJaya Durga V

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements by selecting which attributes appear on the x and y axes via two dropdown menus. The visualization is built with React and D3 v5, using `scaleLinear` for axes, `extent` to compute domains from the CSV data, and SVG circles for marks. Axis components render ticks and labels, while React state updates the plot when menu selections change, with tooltips showing formatted values on hover.

RRockie Yang