Make a scatter plot

Scatter plot with colour

This interactive scatter plot visualizes the Iris dataset, letting users explore relationships between sepal and petal measurements. Dropdown menus select which attributes appear on the x and y axes, while color distinguishes the three iris species. The visualization uses React with functional components, D3 v5 scales including `scaleLinear` and `scaleOrdinal` for mapping data to positions and colors, and renders marks as SVG circles. Axes are custom components built from D3 tick values, and the data loads asynchronously from a CSV file using `d3.csv`.

AAndrea Picciau

Scatter Plot With Color

This interactive scatter plot visualizes the Iris dataset, plotting continuous measurements (sepal width, sepal length, petal width, petal length) against one another with points colored by species. Users select attributes for the X and Y axes via React dropdown menus, which update the chart reactively. The visualization uses React, D3 scales (`scaleLinear`, `scaleOrdinal`), and renders SVG circles, axes, and a color legend. Data is loaded asynchronously with `d3.csv`, and the chart includes labeled axes, a species-based legend, and tooltips showing formatted values.

NNick Pearson

scatter plot of the iris data set

This interactive scatter plot visualizes the Iris dataset, displaying measurements of sepal and petal dimensions across three species. Users can explore relationships between variables by dynamically selecting which attributes to plot on the X and Y axes through dropdown menus. The visualization uses D3 scales (scaleLinear, scaleOrdinal) and SVG rendering within a React framework. A color legend allows filtering by species, fading non-selected points via hover interactions. Data is loaded as CSV from a remote source using D3's csv function.

MMohammed Banani | MbDev

Iris Scatter Plot

This interactive scatter plot visualizes the classic Iris dataset, showing measurements of sepal and petal dimensions colored by flower species. Users can select which attributes to display on the x- and y-axes using dropdown menus, with hover interactions fading non-selected species. Built with React and D3 v5, it renders SVG circles using `scaleLinear` and `scaleOrdinal` for positioning and color encoding. The visualization includes custom axis components, a color legend, and tooltips, with data loaded via D3's `csv` parser and formatted using `d3.format`.

TThe-World-Muda

Scatter Plot with Color

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 each axis. The visualization uses React with d3.v5 scales, including scaleLinear for positioning and scaleOrdinal to encode species identity with distinct colors. SVG circles render the data points with tooltips showing exact values, while custom AxisBottom and AxisLeft components generate the tick marks and labels. The code employs d3.csv for data loading and d3.format for axis tick formatting.

MMrMartin85

Iris Scatter Plot

This interactive scatter plot displays the classic Iris dataset, allowing users to compare any two measurements (sepal and petal length or width) by selecting them from dropdown menus. The visualization uses D3v5's `scaleLinear` and `extent` to compute axes, with a smooth 1-second transition between selections. Points are colored by Iris species (setosa, versicolor, virginica) using red, green, and blue, and the chart includes axis labels, gridlines, and a legend. The React-based code fetches data from a CSV file via `csv` and renders using SVG.

CChiuyc

Scatter Plot with colors

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements across three iris species. The visualization uses D3.js scales (scaleLinear, scaleOrdinal) and React components to render SVG circles, with color encoding species identity. Two dropdown menus enable dynamic selection of which measurements appear on the x and y axes, while D3’s csv loader fetches the data and tooltips display formatted values for each point.

Aadewole-top

Scatter Plot with Color

This interactive scatter plot visualizes the Iris dataset, letting users explore relationships between sepal and petal measurements. Dropdown menus switch which numeric attribute appears on the x- and y-axes, while a categorical color scale distinguishes the three iris species. Powered by React and D3 v5, the SVG visualization uses `scaleLinear`, `scaleOrdinal`, and `csv` to load and render data from a GitHub gist, with axis and mark components built from reusable React functions.

Ccynichole