Scatter Plot with Menus

100%

Scatter Plot with Menus

✓ Published1🌍 Public

Last edited Feb 8, 2021

Created on Feb 8, 2021

This interactive scatter plot visualizes the Iris dataset, letting users select which of five attributes (sepal length/width, petal length/width, or species) to map to the x- and y-axes via React-controlled dropdown menus. The SVG chart uses `d3.scaleLinear` for both axes and renders circles for each data point, with hover highlighting and a native `<title>` tooltip. Built with React hooks (`useState`, `useEffect`) and D3 v6 utilities (`csv`, `extent`, `max`, `format`), it updates scales on user selections.

AI-generated description

A program that loads in saome data using d3 utilities and uses React to keep track of the data.

MIT Licensed

Similar vizzes

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, displaying measurements such as sepal length and petal width. Users can select which attribute is mapped to the x-axis and y-axis using two drop-down menus, built with React’s `useState` hook. The visualization, rendered as SVG, uses `d3.scaleLinear` and `d3.extent` to compute scales, while `d3.csv` loads the data. Each point is a circle with a native SVG `<title>` element for hover tooltips, and axes are generated from tick values using custom React components.

RRiccardo De Lucia

96% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, plotted with D3 scales and rendered as SVG circles via React components. Two dropdown menus, built with React state, let users select which of the four flower measurements (sepal length/width, petal length/width) to map to the x- and y-axes, with axis labels updating accordingly. The visualization uses `d3.csv` for data loading, `d3.scaleLinear` for axes, and custom React components for axes and marks, with native SVG `<title>` elements for hover tooltips.

LLisa Wagner

96% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, featuring dropdown menus that let viewers select which numerical attributes to display on the x and y axes. The visualization renders data points as SVG circles using React components, with axes generated from D3 scales (scaleLinear) and tick formatting via the format function. Users can compare any combination of sepal and petal measurements, with axis labels updating dynamically to reflect the current selection. The chart loads CSV data asynchronously using D3’s csv parser, and menu interactions update state through React’s useState hook.

Vvesnaj

95% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between four numeric attributes—sepal length, sepal width, petal length, and petal width—by selecting any two for the X and Y axes via dropdown menus. Built with React and D3 v6, the visualization renders SVG circles with tooltips showing exact values during hover. The code uses `scaleLinear` for axes, `extent` to compute domains, and custom React components for axes and dropdowns. Axis labels update dynamically to reflect the selected attributes, making the plot adaptable for comparing different feature pairs.

SSonja Ek

95% match

Loading thumbnail…

Scatter Plot with Menus

A scatter plot of the Iris Dataset displays sepal and petal measurements, with dropdown menus allowing users to select which attributes appear on the x- and y-axes. The visualization uses React with D3's `scaleLinear` and `extent` to map data to SVG circles, while axes are rendered via custom `AxisBottom` and `AxisLeft` components. The dropdowns update state to re-scale and re-render the marks dynamically, with formatted tick labels using D3's `format`.

RRajat Dangat

95% match

Loading thumbnail…

Scatter Plot With Menues

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between sepal and petal measurements. Dropdown menus dynamically select which numerical attribute appears on each axis, updating the chart in real time. Built with React and D3 v6, the visualization uses d3.scaleLinear for scales and d3.extent for domains, rendered as SVG circles with tooltips. The code loads the data via d3.csv and demonstrates reusable axis and mark components.

Ppsabela

95% match

Loading thumbnail…

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

95% match

Loading thumbnail…

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 the x and y axes. Built with React and D3 v5, the SVG rendering uses `scaleLinear` for axes, with a `Dropdown` component managing the attribute selections. The data is loaded via `d3.csv` from a remote source, with circles colored uniformly and tooltips displaying the x-axis value in a compact format. The code demonstrates coordinated React state management with D3's functional programming style.

GGokulkrishnan1996

95% match