Dataviz 2020_Ep32 - 25. Polished Scatter Plot with Menus

100%

Dataviz 2020_Ep32 - 25. Polished Scatter Plot with Menus

✓ Published1🌍 Public

Last edited Jul 19, 2021

Created on Jul 18, 2021

Forked from Dataviz 2020_Ep31 - 24. Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to select which measurement attributes appear on the X and Y axes via dropdown menus. Built with React and rendered as an SVG, it uses D3 utilities like `scaleLinear` for axis scaling, `extent` for domain calculation, and `csv` for data loading. The visualization displays the data points as teal circles, with tick marks and axis labels generated by custom React components, all styled with the Poppins font.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React to render the data.

MIT Licensed

Similar vizzes

Loading thumbnail…

Dataviz 2020_Ep31 - 24. Scatter Plot with Menus

This interactive scatter plot displays the Iris flower dataset, with the x and y axes each controlled by dropdown menus that let users select which of the four numeric attributes to compare. The visualization shows how different combinations of sepal and petal measurements distribute across the sample. Built with React and d3.scaleLinear, the chart renders SVG circles positioned by the selected attributes, with axis labels generated from the menu choices. Data loading uses d3.csv from a remote gist, and the React useState hooks manage the dropdown selections.

MMinwoo Pak

95% match

Loading thumbnail…

Dataviz 9 - Scatter plot with Menus (Polished)

This interactive scatter plot visualizes the classic Iris Dataset, displaying measurements of sepal and petal dimensions for three flower species. Dropdown menus on the left allow users to switch which quantitative attributes are plotted on the X and Y axes, with axis labels updating accordingly. Built with React and D3 v5, the visualization uses D3’s `scaleLinear` for axes, `extent` for domain calculation, and leverages SVG circles for each data point. Data is loaded asynchronously via D3’s `csv` function, with dropdowns implemented using the react-dropdown library.

RRyAlpha

93% match

Loading thumbnail…

Dataviz 9 - Scatter plot with Menus

This interactive scatter plot explores the Iris Dataset, allowing users to dynamically select which flower measurements appear on the x- and y-axes via dropdown menus. Each point represents a flower specimen, positioned according to its sepal and petal dimensions. The visualization uses React for state management and rendering, while D3.js v5 handles data loading, linear scaling (scaleLinear), and SVG axis generation. The data is parsed from a CSV file using D3’s csv function, and axis labels update dynamically to reflect the selected attributes.

RRyAlpha

92% match

Loading thumbnail…

Polished Scatterplot with Menus

This interactive scatterplot displays the Iris flower dataset, with dropdown menus letting users select which numerical attribute maps to the x- and y-axes. The visualization is built with React and D3 v5, using `scaleLinear` and `extent` for axis scaling, while the `csv` loader fetches the data. React state updates trigger re-renders of the SVG marks, with styled tick lines and text labels from custom `AxisBottom` and `AxisLeft` components, and circles colored with a fixed teal fill.

Ffjvoris

92% 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

92% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, showcasing relationships between flower measurements. Users can dynamically select which attributes to plot on the X and Y axes using dropdown menus, with the chart updating instantly. The visualization uses React for component-based UI, d3.v5 for data processing and linear scaling, and SVG for rendering. Axis ticks are styled with Poppins font, and data points are colored teal with hover tooltips displaying exact values.

Vvesnaj

92% match

Loading thumbnail…

Dataviz 9 - Scatter plot with Menus (Coloured)

This interactive scatter plot visualizes the Iris Dataset, letting users independently choose which of the four flower measurements to plot on the X and Y axes using React dropdown menus. Species are distinguished by color through a d3.scaleOrdinal mapping to a three-color palette. The visualization is rendered as SVG using React components, with axes and marks generated via d3.scaleLinear, d3.extent, and custom React components for the bottom and left axes, alongside d3.csv for data loading and d3.format for tick labels.

RRyAlpha

92% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to select which measurements appear on the X and Y axes through dropdown menus. The chart updates dynamically, displaying species data as colored circles with SVG rendering. Built with React and D3, it uses `csv` for data loading, `scaleLinear` for axes, and custom components for rendering marks and dropdown controls. Native SVG `<title>` elements provide tooltips on hover.

MMinh Luong

92% match