Skip to main content
SimilarExport ZIP
100%

Fork of Data Visualization- Scatter Plot with Iris DataSet

✓ Published0🌍 Public
RRamakanth771
Last edited Mar 7, 2022
Created on Mar 7, 2022

This scatter plot visualizes the Iris dataset, mapping petal length and width on the x and y axes while coloring each point by species (setosa, versicolor, or virginica). The visualization uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to define scales and axes, rendering circles as SVG marks. Data is loaded asynchronously from a CSV file via `d3.csv`, and the chart fills the browser window, with tick labels styled at 24 pixels for readability.

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 interactive scatter plot visualizes the Iris dataset, mapping petal length and width on the x and y axes, with each point colored by species (setosa, versicolor, or virginica). The visualization is built with React and D3 v6, using `d3.csv` to load data, `scaleLinear` for axis scaling, and `axisLeft`/`axisBottom` for rendering the chart axes. Points are drawn as SVG circles with a fixed radius, while the axis labels are added as text elements. The plot does not use any interactivity beyond the rendering itself.

RRamakanth771
98% 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 Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width along the axes while coloring each point by species (setosa, versicolor, or virginica). The visualization is built with D3 v6, using `scaleLinear` for axes, `axisLeft` and `axisBottom` for ticks, and SVG circles for marks. Data loads from a CSV via `d3.csv`, with numeric parsing for measurement columns. The code assigns colors through a switch statement and uses fixed radius points, with margins configured for the full browser viewport.

RRamakanth771
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 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
94% match
Loading thumbnail…

Fork of Data Visualization- Scatter Plot with Iris DataSet

This example visualizes the classic Iris dataset with a scatter plot, mapping petal length and width as the x and y coordinates for each data point. Each of the three iris species is distinguished by a unique fill color, and the plot includes labeled axes for both dimensions. The code uses D3 version 6.7.0, loading data from a remote CSV via `d3.csv`, then employing `d3.scaleLinear` for scaling and `d3.axisLeft` and `d3.axisBottom` for the axes. The visualization is rendered as an SVG appended to the body, with circles representing each flower, and all elements are positioned using functions from the D3 API.

Eeravellisaimeghana
94% match