Skip to main content
SimilarExport ZIP
100%

ice-7 resuable scatter plot

✓ Published0🌍 Public
Pprashanth yamala
Last edited Jul 1, 2022
Created on Jul 1, 2022

This example visualizes the Iris dataset, plotting petal length against petal width. Each point is colored by species (setosa, versicolor, or virginica) using a simple switch statement, and the circle’s horizontal and vertical radii are set to the sepal length and width values, respectively. Built with React and D3 v6, it uses the `csv`, `select`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` functions to load data, create scales, and render SVG axes and circles. The chart fills the browser window, with large tick text and axis labels for clarity.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

ScatterPlot_ICE6

This scatter plot visualizes the Iris dataset, mapping petal length and width for individual flowers while coloring each point by species (setosa, versicolor, or virginica). The axes are labeled with sepal length and petal length, though the data encoding uses petal dimensions for positioning and sepal dimensions as circle radii. Built with React and d3.v6, the example loads CSV data via `d3.csv`, applies `scaleLinear` and `extent` for scales, and renders SVG circles with attributes driven by the parsed numeric fields. Axis generation uses `axisLeft` and `axisBottom`.

Bbindusreeja
92% match
Loading thumbnail…

ICE7-reusable scatter plot

This visualization displays the Iris dataset as a scatter plot, animating through different attribute combinations on the x-axis while showing petal width and sepal length on the y-axis. Circles represent individual data points, colored by species with a legend for Setosa, Versicolor, and Virginica. Built with React and D3, the code uses `csv` loading, `scaleLinear`, `axisLeft`, `axisBottom`, and `scatterPlot` to render SVG elements. A `setInterval` timer cycles through petal_width, sepal_width, petal_length, and sepal_length for dynamic x-axis updates, with custom styling from the Share Tech font.

Nnavyasrimeka9@gmail.com
92% match
Loading thumbnail…

ICE 7 - Reusable Scatter Plot

This example presents a reusable scatter plot built with React and D3, visualizing the Iris dataset. It displays petal width against sepal length, with points colored by species (red for setosa, black for versicolor, green for virginica). The visualization includes axes and labels, and cycles through different column pairings every 140 milliseconds, animating the scatter plot as it updates the x and y values. The code uses D3’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to handle scaling and axes, rendering SVG circles via a custom `scatterPlot` function.

NNITIN0601
92% match
Loading thumbnail…

ICE7 reusable

This interactive scatter plot visualizes the Iris dataset, displaying petal length against sepal length for three species of iris flowers. The visualization cycles through different x-axis variable combinations every 2.1 seconds, enabling comparisons across all four floral measurements. Built with React and D3 v6, the code uses the `scaleLinear`, `scaleOrdinal`, and `axisBottom` APIs to render SVG circles and axes, with a `setInterval` timer driving the animation. Data is loaded from a CSV file via D3's `csv` parser.

Vvegurusaiprathyusha
91% match
Loading thumbnail…

ICE7 - Reusable Scatter Plot

This example presents a reusable scatter plot visualizing the Iris Dataset, with data points colored by species. Built with D3.js v6, the plot cycles through different attribute pairs on the x-axis, including petal width, sepal width, petal length, and sepal length, updating the axes and circles each second. It uses `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to construct the chart, along with SVG elements for rendering and a fixed legend for species identification. The implementation follows a reusable chart pattern, allowing dynamic configuration of dimensions, margins, and value accessors.

Ssuchitra2602
91% match
Loading thumbnail…

ICE-7 reusable scatter plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal width to the x-axis and sepal length to the y-axis while encoding species through symbol shapes and colors (grey, coral, and aqua). The chart uses reusable D3.js components, including scaleLinear, scaleOrdinal, axisLeft, axisBottom, and the symbol generator, to render SVG marks. Data is loaded via d3.csv and parsed into numeric values before being passed to the customizable scatterPlot function.

CChathurya
91% match
Loading thumbnail…

ICE-6 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa, versicolor, or virginica). The visualization uses D3 v6’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct axes, while circles are bound to the data via `selectAll` and `join`. Data is loaded asynchronously from a CSV URL using D3’s `csv` function, with numeric parsing applied to all measurements. The chart fills the browser window, displaying axis labels for petal length and sepal length.

Ggayathrikavya
91% match
Loading thumbnail…

ICE-7 Resuable scatterplot

This reusable scatter plot visualizes the Iris dataset, mapping petal width against sepal length and encoding species with distinct D3 symbol shapes (circles, crosses, and diamonds). Built with the reusable chart pattern, the `scatterPlot()` function configures scales, axes, and symbol generators via chained accessor methods. The visualization renders as animated SVG, with axes created using `axisLeft` and `axisBottom`, while `scaleOrdinal` and `symbol` map categorical data to geometric marks. Data loads asynchronously via `d3.csv` and updates smoothly through D3’s data join.

SShridhar Kshirsagar
91% match