Polished ScatterPlot with Menus

100%

Polished ScatterPlot with Menus

✓ Published0🌍 Public

Last edited Oct 10, 2021

Created on Oct 10, 2021

This interactive scatterplot visualizes the Iris flower dataset, allowing users to select which numerical attributes map to the x- and y-axes via dropdown menus. The SVG rendering uses React components and D3 scales to position circles, with axis labels updating dynamically based on selections. Data loading relies on D3’s `csv` parser, while tooltips display formatted values on hover. The interface includes custom-styled dropdowns from the `react-dropdown` library and polished axes with tick formatting.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to select which numeric attributes are plotted on the x- and y-axes via dropdown menus. The visualization uses React to manage component state and render SVG elements, with D3’s `scaleLinear`, `extent`, and `max` functions handling axis scaling and data mapping. Axis ticks and labels are generated through custom React components, while circles representing data points include tooltips using SVG `<title>` elements. The graph updates dynamically whenever the dropdown selections change.

AAudrey

96% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to dynamically select which flower attributes to display on the x- and y-axes via two dropdown menus. The SVG rendering uses React components with D3 scales (d3.scaleLinear) and axes, while the raw CSV data is loaded asynchronously using d3.csv. Points are drawn as circles with hover tooltips showing formatted values.

Nnpelliccia

96% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to dynamically select which flower measurements appear on the X and Y axes via two dropdown menus. The visualization is built with React and D3.js, using d3.scaleLinear for axes and D3’s csv loader to fetch data. SVG circles represent the flowers, with hover tooltips provided by native SVG title elements. Axes are rendered as custom React components, and the interface includes axis labels and a polished Poppins font styling.

Ccshm407

96% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to select which flower measurements appear on the x- and y-axes via two dropdown menus built with the React Dropdown library. The chart renders circles as SVG marks using React components, with axes generated by custom AxisBottom and AxisLeft components that leverage d3.scaleLinear and d3.extent. Polished styling includes Poppins fonts, tick formatting via d3.format, and tooltips using SVG title elements. Data loading relies on d3.csv with type coercion for numerical columns.

TThomas Cormican

95% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to select which flower measurements appear on the x- and y-axes via dropdown menus. Built with React and D3 v7, the visualization uses `d3.csv` to load data, `scaleLinear` for axis scaling, and SVG rendering with custom React components for axes and marks. Tooltips reveal precise values on hover, while axis labels dynamically update based on menu selections.

Jjbruzzo

95% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to dynamically choose which numeric attributes appear on the X and Y axes via two dropdown menus. The visualization uses D3 v7 scales and SVG rendering within a React framework to plot data points as circles, with axis labels and tick marks styled through CSS. The code leverages `d3.scaleLinear` for axis scaling, `d3.extent` for domain calculation, and the `react-dropdown` library for the menu controls. The dataset loads remotely as CSV through `d3.csv`, with numeric parsing in the data-loading hook.

SSerind Joshua McCue

95% match

Loading thumbnail…

Polished Scatter Plot with Menus!!

This interactive scatter plot visualizes the Iris flower dataset, allowing users to switch which numerical attributes are plotted on the X and Y axes via dropdown menus. The visualization is built with React and renders SVG circles using D3 scales and axes, with axes generated by custom React components for bottom and left ticks. Data is loaded asynchronously via d3.csv, and hover tooltips display the x-axis value for each point. The styling uses the Poppins font, and axis labels reflect the currently selected attribute names.

Yyasyuannn

95% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to compare any two measured attributes by selecting them from dropdown menus for the X and Y axes. Built with React and D3, the plot uses SVG circles to represent individual iris flowers, with tooltips displaying precise values on hover. The chart’s axes are rendered using custom React components (`AxisBottom`, `AxisLeft`) that leverage D3’s scale functions, while the dropdowns are powered by the `react-dropdown` library, enabling dynamic exploration of the dataset’s relationships.

Wwindwaver

95% match