Skip to main content
SimilarExport ZIP
100%

Activity_7_task3

✓ Published0🌍 Public
Mmandadi1999
Last edited Jul 5, 2023
Created on Jul 5, 2023

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width for three flower species. Each circle is color-coded by species (skyblue for setosa, lightgreen for versicolor, orange for virginica), and the axes are labeled "Petal_Length" and "sepal_Length" (the latter mislabeled). The code loads CSV data from a GitHub URL using d3.csv, maps the data to x/y positions with d3.scaleLinear, and renders SVG circles with d3.select and .join. Axes are drawn using d3.axisLeft and d3.axisBottom, with the chart sized to the full browser window.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_task3

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width for three flower species. Colored circles represent each species, with skyblue for setosa, lightgreen for versicolor, and orange for virginica. The visualization loads data from a CSV file using d3.csv and renders SVG circles with d3.scaleLinear for axes positioning. Axis labels rotate with SVG transforms, and species-specific colors are assigned through a JavaScript switch statement. The plot uses d3.axisLeft and d3.axisBottom for the coordinate system.

Cchinnivikramnunna@gmail.com
96% match
Loading thumbnail…

Activity6_task3

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, while coloring each circle by species (setosa, versicolor, and virginica). The chart displays all 150 data points using SVG circles, with species-specific colors applied via a switch function. Built with D3 v6, the visualization uses `d3.csv` to load data from a GitHub-hosted CSV, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for tick marks. Axis labels are styled with green text for petal length and sepal length.

Ddineshreddy.ravula@gmail.com
95% match
Loading thumbnail…

Activity6_Task3

This scatter plot visualizes the Iris dataset, showing petal length against petal width for individual flowers. Points are colored by species—sky blue for setosa, light green for versicolor, and orange for virginica—using D3.js v6. The code loads CSV data from a GitHub repository and uses `d3.scaleLinear`, `d3.extent`, and `d3.axisLeft`/`d3.axisBottom` to create the axes. It renders as an SVG, with circles positioned by the scaled petal measurements and styled via a switch statement on the species field. The plot includes custom axis labels in green.

Bbhargavr016@gmail.com
95% match
Loading thumbnail…

Activity_3

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa, versicolor, or virginica) using skyblue, lightgreen, and orange. The code loads CSV data via `d3.csv`, scales the axes with `d3.scaleLinear`, and renders circles as SVG elements using `d3.select` and `d3.join`. Axis labels are added with `d3.axisBottom` and `d3.axisLeft`, though the y-axis label incorrectly reads "Petal_Length" while the x-axis label says "sepal_Length".

Kkaringusathwika@gmail.com
95% match
Loading thumbnail…

Activity6_Task3_3.1

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis. Each circle represents a data point, colored by species (setosa in skyblue, versicolor in lightgreen, and virginica in orange), with circle dimensions reflecting sepal length and width via their rx and ry attributes. The visualization uses d3.csv to load data from a GitHub repository, d3.scaleLinear for axis scaling, and d3.axisLeft and d3.axisBottom for axes. Rendering is done as an SVG with d3.v6, applying margins and custom font styles for axis labels.

PPothuguntla Pranitha
95% match
Loading thumbnail…

Activity6_Task3 .1

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 using a switch statement mapping setosa to darkgreen, versicolor to yellow, and virginica to red. The visualization loads CSV data from a GitHub repository using d3.csv, then creates SVG circles positioned with d3.scaleLinear scales. Axes are generated with d3.axisLeft and d3.axisBottom, while width and height adapt to the browser window. The code also reads sepal dimensions but does not use them in the current rendering.

Ssrilekhasridasyam@my.unt.edu
95% match
Loading thumbnail…

Activity-6 Task3

This scatter plot displays the Iris dataset, mapping petal length and width for each flower specimen. Points are colored by species—setosa in skyblue, versicolor in lightgreen, and virginica in orange—while the circle radii are proportionally set to sepal length and width values. Using d3.csv to load the raw CSV from GitHub, the visualization applies d3.scaleLinear for both axes, d3.axisLeft and d3.axisBottom for tick marks, and d3.select with data joins to render SVG circles. Axis labels indicate petal length and sepal length.

Hharshaps15@gmail.com
95% match
Loading thumbnail…

Activity6_Task3

This scatter plot displays the Iris dataset, using petal length and petal width to position each flower, with colors distinguishing the three species (setosa, versicolor, and virginica). Additional sepal measurements are encoded as circle radii, though the visual range of this encoding is limited. The visualization is built with D3 v6, loading CSV data from a remote URL, and rendering SVG circles scaled via `scaleLinear` with axes generated by `axisLeft` and `axisBottom`. The code explicitly assigns circle attributes for position, fill color, and radius, and labels the axes for petal and sepal dimensions.

Aamarnadhkari98@gmail.com
95% match