Fork of Fork of Scatter Plots

Fork of Fork of Fork of Scatter Plots

This interactive scatter plot visualizes the Iris Dataset, displaying sepal and petal measurements for three iris species. Users can select which attributes appear on the x and y axes via dropdown menus, with data points colored by species. The visualization is built using React and D3 v5, leveraging `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft`. SVG rendering includes labeled axes, adjustable scales, and gridlines, with transitions triggered by menu selections.

JJyothicherukuri

Fork of Fork of Scatter Plots

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements across three iris species. The visualization uses dropdown menus to dynamically switch which attribute is mapped to the x-axis and y-axis, with axes and labels updating accordingly. Built with D3 v5 and React, the example uses `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` to render SVG circles colored by species, with gridlines and axis labels providing clear context for the selected variables.

JJyothicherukuri

Fork of Fork of Scatter Plots

This interactive scatter plot displays the classic Iris dataset, letting users explore the relationships between sepal and petal measurements. Four dropdown menus, built with React, allow for the dynamic selection of which attributes map to the x and y axes. The visualization uses D3.js version 5 functions like `d3.scaleLinear` and `d3.extent` to scale the data, which is rendered as colored SVG circles, with each Iris species assigned a distinct color. The chart includes axis labels, a title, and a legend to clarify the categories.

Rrohinikotha

Fork of Fork of Scatter Plots

This interactive scatter plot visualizes the Iris dataset, allowing users to dynamically select which flower measurements (sepal or petal length/width) appear on the x- and y-axes via dropdown menus. The SVG rendering uses D3 v5 scales and axes, with circles colored by iris species, while React dropdown components manage the axis selections. The visualization updates in real time, re-scaling the axes and repositioning points as the chosen attributes change.

Kkalyanikotha

Fork of Fork of Scatter Plots

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. The visualization uses React dropdown menus to dynamically switch which measurement attributes are plotted on the x and y axes, with points colored by species. Built with D3.js v5 and rendered as SVG, the code uses `scaleLinear` for axes, `scaleOrdinal` for categorical colors, and `d3.axisBottom`/`d3.axisLeft` to construct the plot. The iris data is loaded via `d3.csv` from a linked gist.

Ssaivinay143

Fork of Fork of Scatter Plots

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements by selecting axes from dropdown menus. The SVG visualization uses d3.scaleLinear for axis scaling, d3.axisBottom and d3.axisLeft for gridlines, and color-codes data points by Iris species. The code leverages React through react-dropdown-browser for the menu interface while implementing custom dropdown logic with d3.select. Axis labels update dynamically, and additional text elements annotate the plot area.

Kkalyanikotha

Fork of Fork of Scatter Plots

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal dimensions by selecting different attributes for the x- and y-axes via dropdown menus. The visualization uses d3.scaleLinear for axis scaling, d3.select for DOM manipulation, and d3.axisBottom and d3.axisLeft for rendering axes with gridlines. Data points are rendered as SVG circles, colored by species class (setosa, versicolor, virginica) with opacity for overlap handling. The React framework manages the dropdown state, while D3 handles the chart rendering.

Rrohinikotha

Fork of Scatter Plots

This interactive scatter plot visualizes the Iris Dataset, displaying measurements of sepal and petal dimensions. Users can dynamically select which variables to map to the x- and y-axes via dropdown menus. The visualization updates the scatter plot, axes, and labels accordingly. Data points are colored by iris species using a static color mapping. The implementation uses d3.scaleLinear for axis scaling, d3.extent to compute data domains, d3.axisBottom and d3.axisLeft for axes, and React dropdowns for the interactive controls, all rendered as SVG elements.

Jjas0821