Skip to main content
SimilarExport ZIP
100%

Fork of Data Visualization- Scatter Plot with Iris DataSet

✓ Published0🌍 Public
Ttejaswikalluri05
Last edited Mar 7, 2022
Created on Mar 7, 2022

This visualization displays the Iris dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis. Each circle represents an iris flower, colored by species (blue for setosa, yellow for versicolor, green for virginica) using D3 v6 APIs including `csv`, `scaleLinear`, `extent`, and `axisBottom`. The SVG renders circles with a fixed radius, while sepal measurements are bound but not visually encoded. Data is loaded from a GitHub gist via CSV, with axes labeled and styled via CSS.

AI-generated description

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

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis. Each circle represents a flower, colored by species: lightblue for setosa, lightpink for versicolor, and yellow for virginica. The code uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, create scales, and render axes. The visualization also incorporates sepal measurements as radius properties, though the circles maintain a fixed radius of 5 pixels.

Jjeffchengtw
96% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, displaying petal length against petal width for three flower species, with each species colored differently. The visualization uses D3 v6’s `csv` loader, `scaleLinear`, and `axisLeft`/`axisBottom` functions to map data to SVG circles, with axis labels indicating the variables. Sepal measurements are also read into the data model, though not directly plotted. The chart is rendered in a full-window SVG with fixed margins and a large font for tick labels.

KKiran3295
95% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes, with points colored by species (setosa, versicolor, and virginica). It uses D3.js v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, scale scales, and render axes. The visualization is built with SVG circles in a React environment, with a fixed radius, and includes rotated axis labels for sepal length and petal length, styled with a custom font.

PPrathyusha0304
95% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, mapping petal length and width to the x and y axes while encoding sepal length and width as the horizontal and vertical radii of each circle. Points are colored by species (setosa, versicolor, virginica) using light blue, pink, and yellow. Built with D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct axes, and loads data via `d3.csv` from a gist. The SVG rendering uses dynamic window dimensions and custom tick font sizing.

Vvarun-030
95% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

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) via a custom color function. The circles also encode sepal length and width as non-visual properties (rx and ry), though only a fixed radius is rendered. Built with D3 v6, the code loads CSV data using `d3.csv`, applies `scaleLinear` and `extent` for scaling, and renders axes via `axisLeft` and `axisBottom`. The SVG canvas fills the window, with a bottom margin accommodating custom axis labels for sepal length.

RRadhakrishna246
95% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, mapping petal length and width on the x and y axes while encoding species with color (violet, orange, and green). The visualization also incorporates sepal measurements as the radius and an elliptical shape for each point. Built with D3 v6 and React, the code uses `d3.csv`, `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to load data and render SVG circles, with axis labels and a large tick font size for readability.

Sspandhanabadekol
95% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This example visualizes the Iris dataset as a scatter plot, mapping petal length and petal width to x and y positions on a D3 v6 SVG. Points are colored by species—light blue for setosa, black for versicolor, and red for virginica—with fixed radius, while each circle also carries the sepal length and width as unused `rx` and `ry` attributes from the CSV data. The code uses `d3.csv`, `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `select` to load and render the plot, with axis labels indicating petal length and sepal length.

JJyothicherukuri
95% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, showing petal length against petal width with points colored by species (setosa in blue, versicolor in red, virginica in green). It also reads sepal length and width values into each circle’s attributes, though the visual radius remains fixed. Built with React and D3 v6, the code uses `csv` to load data, `scaleLinear` and `extent` for scales, and `axisLeft`/`axisBottom` for axes, rendering circles and axis labels as SVG elements sized to the full window.

Ssaivinay143
94% match