Skip to main content
SimilarExport ZIP
100%

activity8_tutorial3.1

✓ Published0🌍 Public
Ssaitejauppu0206@gmail.com
Last edited Apr 15, 2024
Created on Apr 15, 2024

This scatter plot visualizes the classic Iris dataset, displaying the relationship between petal length and petal width while also encoding sepal dimensions and species. It renders individual flowers as colored circles, using sky blue, light green, and orange to distinguish the Setosa, Versicolor, and Virginica species, respectively. Built with d3.v6, the visualization loads data from a CSV URL via the `csv` method, then applies `scaleLinear` with `extent` to map values to SVG coordinates. The plot uses `axisLeft` and `axisBottom` for labeled axes, and the full viewport size is utilized as the canvas.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

Similar vizzes

Loading thumbnail…

activity8_tutorial3

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width for three species of iris flowers. Each circle is colored by species—sky blue for setosa, light green for versicolor, and orange for virginica—using D3 v6’s `scaleLinear`, `extent`, and `csv` loader. The SVG circles include redundant `rx` and `ry` attributes based on sepal dimensions, though the fixed radius of 5 governs the visual size. Axis labels and ticks are generated with `axisLeft` and `axisBottom`.

Ssaitejauppu0206@gmail.com
96% match
Loading thumbnail…

Activity8tutorial 3

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis. Points are colored by species—skyblue for setosa, lightgreen for versicolor, and orange for virginica—with circle radii fixed at five pixels. The visualization loads data from a remote CSV via `d3.csv`, parses numeric values, and uses `d3.scaleLinear` with `d3.extent` for scales. Axes are generated with `d3.axisLeft` and `d3.axisBottom`. The code also maps sepal dimensions to circle attributes, though these do not affect rendering. SVG elements are bound and updated with `selectAll(...).data(...).join(...)`.

BBindumadhavi
95% match
Loading thumbnail…

Activity6_Tutorial3-1

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 (skyblue for setosa, lightgreen for versicolor, orange for virginica). The visualization uses d3.scaleLinear for axis scaling, d3.extent to compute data domains, and d3.axisLeft/d3.axisBottom for tick rendering. Circles are drawn as SVG elements with a fixed radius, while the code also calculates sepal dimensions for each point but does not apply them to the mark size. Data is loaded asynchronously from a CSV via d3.csv, and the chart resizes to the browser window.

Kkaringusathwika@gmail.com
94% match
Loading thumbnail…

Activity6_tutorial3.1

This scatter plot visualizes the classic Iris dataset, mapping petal length against petal width and coloring each point by species (setosa, versicolor, or virginica). The chart uses an SVG canvas rendered with D3 v6, employing `scaleLinear` to map the data columns to pixel coordinates and `axisLeft`/`axisBottom` for the labeled axes. Data is loaded from a remote CSV via `d3.csv`, with the plot points drawn as fixed-radius circles. The code also attempts to scale point dimensions from sepal measurements, though only the constant radius is applied visually.

Cchandrikachowdary867@gmail.com
94% match
Loading thumbnail…

Activity6_Tutorial3.1

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis while coloring each point by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange. The visualization uses d3.v6 to load the CSV data, scaleLinear for axes, and axisLeft/axisBottom to render the scales. Points are drawn as SVG circles, and while the code references sepal dimensions, the visible plot only displays petal measurements.

Ggreeshmareddy135@gmail.com
94% match
Loading thumbnail…

Activity 7 Tutorial

This scatter plot visualizes the Iris dataset, showing petal length against petal width. Each circle is colored by species: sky blue for setosa, light green for versicolor, and orange for virginica. The plot uses D3’s `csv`, `scaleLinear`, `extent`, and axis components, with SVG circles positioned via `cx` and `cy` attributes. Sepal length and width are parsed from the CSV but remain unused for positioning. Axis labels are added as rotated and standard text elements, with a green font style.

Nnikhilthoutu24@gmail.com
94% match
Loading thumbnail…

Activity8_Tutorial3.1

This visualization displays the Iris dataset using a scatter plot, showing the relationship between petal length and petal width. Each data point is colored by species (setosa, versicolor, or virginica), with an additional attempt to encode sepal dimensions as rectangular shapes. The D3 v6 code loads CSV data from a GitHub gist, uses `scaleLinear` and `extent` for axis scaling, and renders circles with `axisLeft` and `axisBottom`.

Aanusharamana0@gmail.com
94% match
Loading thumbnail…

activity6_tutorial3.1

This scatter plot visualizes the Iris dataset, mapping petal length and petal width for individual flowers while coloring each point by species (setosa, versicolor, and virginica). The visualization uses D3 v6 to load the CSV data from a GitHub repository and render the scatter plot as an SVG, with linear scales for both axes and axis labels for petal length and sepal length. The code constructs circles with D3 joins, assigning distinct colors based on species categories, and includes left and bottom axes using D3's axis functions.

Sshreshikaveerannagari@gmail.com
93% match