Scatter Plot with menus

Scatter plot with menus

This interactive scatter plot displays the Iris dataset, allowing viewers to explore relationships between sepal and petal measurements by selecting which attribute appears on each axis through the dropdown menus. Built with React hooks and D3.js v5, the visualization uses `scaleLinear` to map data ranges to SVG coordinates and renders circles for individual specimens. The axis components dynamically update with `tickFormat` for readable labels, while hover tooltips reveal exact values. The code demonstrates a reusable pattern for building linked interactive visualizations from CSV data using `d3.csv` and React state management.

Ppatasky

Scatter Plot with Menu

This interactive scatter plot displays the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements through two dropdown menus. Users select which attribute appears on each axis, and the SVG scatter plot updates the x and y scales accordingly. The visualization uses React hooks for state management, d3.scaleLinear for scaling, and d3.extent for domain calculations. Data is loaded asynchronously from a CSV file using d3.csv, with numeric values parsed on ingestion. The interface includes custom axis components with tick marks and axis labels.

SSam Hege

Scatter Plot with menus

This interactive scatter plot displays the Iris flower dataset, allowing users to explore relationships between four numeric measurements—sepal length, sepal width, petal length, and petal width—by selecting which attribute appears on each axis via two dropdown menus. The visualization renders data points as SVG circles, with scales created using d3.scaleLinear and extents computed via d3.extent. Axis components generate tick marks and labels, while React hooks manage the selected attributes and trigger re-renders upon menu changes. The data loads asynchronously from a CSV file using d3.csv.

KKolezhannochka

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, enabling exploration of relationships between sepal and petal measurements. Users can dynamically select which numerical attribute to display on each axis via dropdown menus, with the plot updating instantly. The visualization is built using React and D3 v7, rendering SVG circles and axes. The `scaleLinear`, `extent`, `csv`, and `format` D3 functions are used for data loading, scaling, and tick formatting, while React `useState` manages the selected attributes.

SSong Tao Chen

Scatter plot with menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements across flower species. Two dropdown menus dynamically control which quantitative attribute is displayed on the x- and y-axes, with axes, labels, and data points updating in real time. Built with React and D3 v5, the visualization renders as SVG, using d3.scaleLinear for axis scaling and d3.extent for data domains. Hovering over any circle reveals its exact value via SVG titles.

Nn.koldovsky@gmail.com

Scatter Plot with menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus let viewers select which attributes appear on the x and y axes, dynamically updating the visualization. Built with React and D3 v5, the example uses `scaleLinear` for scaling, `extent` for domain calculation, and SVG circles for data points. The axes are custom React components that render tick marks and labels, while hover tooltips display formatted values via SVG `<title>` elements.

MMarat

Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between sepal and petal measurements through two dropdown menus that control which attributes appear on the x and y axes. Built with React and D3 v5, the visualization uses d3.scaleLinear for axes, d3.extent to compute domains, and d3.csv to load data. SVG circles represent individual flowers, with tooltips showing exact values. The interface includes labeled axes that update dynamically, styled with custom CSS and the Poppins font.

SSabin Bhandari

Scatterplot with menus

This interactive scatterplot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus let viewers select which attribute appears on each axis, with options including sepal length, sepal width, petal length, petal width, and species. The visualization uses React to manage state for the selected axes and D3 v5’s `scaleLinear`, `extent`, and `csv` to load and scale the data. SVG circles render each data point with a tooltip, while custom React components draw tick marks, axis labels, and the dropdown controls.

Mmartinbirch@outlook.dk