Polished Scatter Plot with menus

100%

Polished Scatter Plot with menus

✓ Published0🌍 Public

Last edited Jan 8, 2022

Created on Jan 8, 2022

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.

AI-generated description

Smiley face implementation with React.

MIT Licensed

Similar vizzes

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

97% 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

97% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements through dropdown menus that dynamically change the X and Y axes. The visualization uses React for state management, d3.scaleLinear and d3.extent for scaling axes, and d3.csv for data loading. SVG circles with d3.format-based tooltips display data points, while custom AxisBottom and AxisLeft components render ticks. The ReactDropdown component enables attribute selection, with axis labels updating accordingly to reflect the current measurements displayed.

SSong Tao Chen

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 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

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. Two dropdown menus let viewers select which numerical attributes appear on the x and y axes, while the color of each point encodes the species of the flower. The visualization is built with React and D3 v5, using SVG rendering for the axes, color legend, and data points. The D3 library provides the linear and ordinal scales, while React manages the interactive state for the menu selections. The dataset is loaded as a CSV file and mapped to numeric values.

Wweny1109

96% match

Loading thumbnail…

Polished Scatter Plot with Menus

This scatter plot displays the Iris dataset, showing relationships between sepal and petal measurements for different flower species. Users can select which attributes appear on the x- and y-axes using two dropdown menus. The visualization is built with React components and d3.v5 scales, rendering circles as SVG marks. Data loading uses d3.csv, while axis generation and tick formatting rely on d3’s scaleLinear, extent, and format functions.

JJCarpenter-WPI

96% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot explores the Iris flower dataset, visualizing relationships between measurements like petal length and sepal width. Users select which attributes appear on the X and Y axes through dropdown menus built with React Dropdown, while the SVG visualization updates dynamically using React state management. The chart renders circles for each data point via D3 scales and components, with axis labels, tick marks, and tooltips providing context on the selected measurements. The interface uses D3 v7 for scales and data parsing, with React 16.9 handling component rendering and menu interactions.

KKazushige Okuma

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 by selecting attributes for the X and Y axes via dropdown menus. The visualization uses React for state management, d3.scaleLinear for axis scaling, and d3.extent to compute domains, rendering circles as SVG marks with native tooltips. Axis components display tick marks and labels, while the data is loaded asynchronously via d3.csv and formatted using d3.format for concise tick values.

Jjwlam83

96% match