Polished Scatterplot with menus

100%

Polished Scatterplot with menus

✓ Published1🌍 Public

Last edited Apr 19, 2021

Created on Apr 19, 2021

This interactive scatterplot displays the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements. Dropdown menus dynamically select which numerical attributes are plotted on the X and Y axes. The visualization is built with React and renders using SVG, leveraging d3.scaleLinear for axis scaling, d3.extent for domain calculation, and d3.csv for data loading. The code also utilizes React state and a custom `useData` hook to manage asynchronous data fetching and updating the chart components.

AI-generated description

A program that loads in some data using d3 utilities and use react state to store the data

MIT Licensed

Similar vizzes

Loading thumbnail…

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

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Polished Scatter plot with Menus

This interactive scatter plot displays the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements through dropdown menus that select which attributes appear on the x and y axes. The visualization is built with React and D3 v6, using d3.scaleLinear for continuous axes and SVG circles rendered via the Marks component. The interface includes two ReactDropdown menus that update state to re-scale the plot, with axis labels dynamically reflecting the selected attributes. Data is loaded asynchronously from a CSV using d3.csv and parsed into numeric values.

Kkragovic

96% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. 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 SVG chart uses d3.scaleLinear for axis scaling, d3.extent for domain calculation, and d3.csv for data loading. Custom React components render the axes, marks, and dropdowns, with tooltips displaying formatted values on hover.

Llaplantalaplanta

95% match

Loading thumbnail…

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

95% match

Loading thumbnail…

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

95% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus control which numeric attributes are plotted on the x and y axes. The visualization is built with React and D3 v7, using SVG for rendering. Scales are created with `scaleLinear` and formatted with `format`, while the `Marks` component draws circles with tooltips.

ZZoe Ferencova

95% match

Loading thumbnail…

Polished 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 which attributes appear on the x- and y-axes. The visualization is built with React and D3 v5, using `d3.scaleLinear` for axes, `d3.extent` to compute domains, and `d3.csv` to load the data. SVG circles represent individual flowers, with native `<title>` tooltips showing coordinates. The interface uses React `useState` hooks to manage selected attributes, while reusable components render axes and marks.

MMichael Bruno

95% match