Basic Scatter Plot with React & D3

Basic Scatter Plot with React & D3

This example shows the classic Iris flower dataset in a basic scatter plot. It plots sepal length on the x-axis against sepal width on the y-axis, with each of the 150 data points rendered as a small black circle. The code uses React for component state and effects, while D3 v7’s `select`, `scaleLinear`, and `extent` functions handle the SVG element selection and linear scale mapping. The data is loaded from a CSV file using D3’s `csv` method and passed to a reusable `viz` function for rendering, following a clean separation between React and D3 logic.

96% match

Basic Scatter Plot with React & D3

A basic scatter plot displays the classic Iris flower dataset, plotting sepal length on the x-axis against sepal width on the y-axis for all 150 specimens. Each point appears as a fixed steelblue circle. The React app loads the CSV data via D3's `csv` function, then calls a separate `viz` function that uses `scaleLinear` and `extent` to compute the chart's scales. D3's `select` and a `.join` operation render the circles onto the SVG element.

223100098@lums.edu.pk

96% match

Basic Scatter Plot with React & D3

This example demonstrates a basic scatter plot for exploring the relationship between sepal length and sepal width in the Iris dataset. The React app includes a file input that lets users load their own CSV data. It uses D3 v7’s `scaleLinear` and `extent` to map data values to SVG coordinates, with points rendered as `circle` elements via a `join` operation. The plot updates dynamically upon file upload.

Basic Scatter Plot with React & D3

This example presents a basic scatter plot that visualizes the Iris dataset, which users load as a CSV file through a file input. The React application parses the data and, using D3's `select` and `join` API, renders circles within an SVG element. The `viz.js` module configures linear scales via `scaleLinear` and `extent` to map sepal length and width values to the plot's dimensions, styling each point with a fixed radius and fill color. The chart updates whenever a new file is selected.

Scatter Plot with React & D3

This scatter plot visualizes the Iris dataset, showing sepal length against sepal width for 150 flowers. The React `App` component loads CSV data via `csv` from D3 and renders an SVG, while a reusable `viz` function creates the scales, axes, and circles. It uses `scaleLinear`, `extent`, `axisBottom`, and `axisLeft` from D3 v7, with helper modules for axes and labels. The plot displays black circles of radius 12 with labeled x and y axes on a fixed 960x500 canvas.

CCurran Kelleher

Basic Scatter Plot

This example shows a basic scatter plot of the classic Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis. Each flower is rendered as a gray circle, with no color or shape encoding for species. The visualization uses D3 v4 within a React-style "margin" pattern, where a custom `d3.margin` function encapsulates the SVG margin convention. It loads CSV data with `d3.csv`, converts numeric fields, and positions circles using linear scales (`d3.scaleLinear`) over computed extents.

CCurran Kelleher

Scatter Plot with React & D3

This example shows a scatter plot of the classic Iris dataset, displaying sepal length on the x-axis and sepal width on the y-axis for 150 individual flowers. The visualization is built using React's `useRef` and `useEffect` hooks to manage the SVG element and coordinate the loading of CSV data via D3's `csv` function, after which the `viz` function from `viz.js` renders the chart. The rendering relies on D3 v7 utilities including `scaleLinear`, `extent`, `axisBottom`, and `axisLeft` to compute scales and draw axes, while D3's `select` and `.join` operations efficiently append the circles, axis labels, and axis groups to the SVG.

223100098@lums.edu.pk

1Scatter Plot with React & D3

This scatter plot visualizes the Iris dataset, plotting sepal length on the x-axis against sepal width on the y-axis for 150 individual flowers. The visualization is built using `d3.scaleLinear` for axis scaling and `d3.extent` to compute data domains, with React managing the SVG element lifecycle and state. It loads CSV data asynchronously via `d3.csv`, renders axes with `d3.axisBottom` and `d3.axisLeft`, and draws circles for each data point. The chart includes labeled axes and uses a fixed black fill for all points.