Polished scatter plot with menus

Polished 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 independently select which numeric attribute appears on the x-axis and y-axis, with axis labels updating dynamically. The visualization uses React with hooks for state management, d3-scale for linear scaling, and d3.csv to load data. SVG circles represent individual flowers, with native `<title>` elements providing hover tooltips. The styling features a clean Poppins font and muted teal markers against light gray axes.

Qqtrfx

Polished Scatter Plot with menus

This scatter plot displays the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements through interactive dropdown menus that select which attribute appears on each axis. The visualization uses React state management to update the axes and data points dynamically when menu selections change. SVG circles represent individual flowers, with D3 v7 scaleLinear and extent functions calculating the domains, while custom AxisBottom and AxisLeft components render the ticks using d3 format for abbreviated tick labels. The data loads asynchronously via d3.csv and includes species information.

KKolezhannochka

Polished Scatterplot with menus

This interactive scatterplot displays the Iris dataset, allowing users to select which measured attribute (sepal length, sepal width, petal length, or petal width) appears on the X and Y axes via dropdown menus. The visualization updates the linear scales, axes, and positioned circles in response to menu changes. Built with React and D3 v6, it uses `scaleLinear` for axis scaling, `csv` for data loading, and SVG for rendering. The polished styling includes custom menus from `react-dropdown` and axis formatting with `d3.format`.

Ssurikmeetr

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements by selecting different attributes for the x and y axes via dropdown menus. The visualization uses React for the component structure and D3’s scaleLinear, extent, and max functions to map data values to pixel coordinates. Each point renders as an SVG circle with a tooltip showing the x-axis value. The chart includes polished axis labels, tick formatting with d3.format, and a clean Poppins font styling.

JJepyagg

Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris flower dataset, plotting sepal and petal measurements as teal circles with axes and tick labels generated using d3.scaleLinear and custom SVG axis components. Two dropdown menus, built with the React-Dropdown library, let viewers switch which numeric attribute appears on each axis. React manages state for the selected attributes, while d3.csv loads and parses the data, and the visualization uses SVG circles with tooltips via the <title> element.

KKevin McMorrow

Polished Scatter Plot with menus

This interactive scatter plot visualizes the classic Iris dataset, allowing users to explore relationships between different floral measurements. Two dropdown menus let viewers independently select which attribute appears on the x-axis and y-axis, with options for sepal and petal lengths and widths. Built with React and D3 v5, the visualization renders as an SVG, using d3.scaleLinear for axes and d3.extent to compute domains from the data. Circles represent individual iris samples, and hovering reveals tooltips with formatted x-axis values. The clean design uses CSS from react-dropdown-browser and the Poppins font for a polished interface.

SShanmukh

Polished Scatterplot with menus

An interactive scatterplot of the Iris dataset, built with React and D3, lets users explore relationships between sepal and petal measurements. Two dropdown menus select which quantitative attributes to plot on the x- and y-axes, while the scales and axes update accordingly. The SVG visualization uses D3 scales (`scaleLinear`, `extent`) to map data coordinates, with React components (`Marks`, `AxisBottom`, `AxisLeft`) rendering circles and tick marks. Data loads asynchronously via `d3.csv`, and hover tooltips reveal precise values using the SVG `<title>` element.

LLove Wessman

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 attribute appears on each axis via React dropdown menus. The visualization uses React with hooks to manage state and data fetching, while D3 v6 scales and SVG elements render the circles and axes. Axis components map data values to screen coordinates using `scaleLinear` with the `d3.extent` method, and hover tooltips display formatted values through SVG `<title>` elements. The chart maintains polished styling with custom tick marks, axis labels, and a Poppins font.

MmohitPassan