Skip to main content
SimilarExport ZIP
100%

Activity8_Tutorial3.1

✓ Published0🌍 Public
Aanusharamana0@gmail.com
Last edited Apr 14, 2024
Created on Apr 14, 2024

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`.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

Similar vizzes

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 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
94% match
Loading thumbnail…

Activity6_Tutorial3.1

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width for three species, with each point colored by species (skyblue, lightgreen, or orange) and sized by sepal dimensions. The visualization uses D3 v6's `csv` loader to fetch data from a GitHub gist, then applies `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to create scaled axes and map data coordinates to SVG circle elements. The chart renders within a full-window SVG, with green axis labels and a red title, highlighting species clusters across the petal measurements.

Ggnanendra097@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. Each point’s color encodes the iris species (setosa, versicolor, or virginica), while the sepal length and width are additionally used to scale each circle’s rx and ry attributes, creating elliptical markers. The code loads CSV data via `d3.csv`, uses `scaleLinear` with `extent` to set domains, and renders the visualization as SVG circles with `d3.axisLeft` and `d3.axisBottom` for labeled axes.

Hhemanthdummy999@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…

Activity6_Tutorial 3

This scatter plot visualizes the Iris dataset, mapping petal length and width for sepal length and width, with points colored by species (setosa, versicolor, and virginica) using skyblue, lightgreen, and orange. The visualization uses D3 v6 (d3.csv, d3.scaleLinear, d3.extent, d3.axisLeft, d3.axisBottom) to load the CSV from a GitHub repository, compute scales, and render SVG circles. Axis labels are added via SVG text elements, and the plot resizes to the full window dimensions.

Aaashrithas2000@gmail.com
94% match
Loading thumbnail…

activity6_tutorial

This scatter plot visualizes the Iris dataset, mapping petal length and width on the axes while coloring points by species (setosa, versicolor, and virginica) with distinct fill colors. The visualization uses D3 v6’s `csv` loader to fetch data from a GitHub gist, `scaleLinear` for axis scaling, and `axisLeft`/`axisBottom` for labeled axes. Circles are rendered via SVG with a fixed radius, and additional attributes like sepal dimensions are bound to each mark but not visually encoded.

Vvidiyalasahithi1999@gmail.com
94% match
Loading thumbnail…

Activity6_tutorial3.1

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis. Each circle is colored by species—sky blue for setosa, light green for versicolor, and orange for virginica—with all points rendered as fixed-size circles. The visualization uses the `d3.csv` loader to fetch data from a GitHub repository, `d3.scaleLinear` for axis scaling, and `d3.axisLeft` and `d3.axisBottom` for chart axes. The SVG canvas resizes to the browser window, and the code employs D3's data-join operator (`.join`) to efficiently bind data to circle elements.

Vvenkatdinesh5010@gmail.com
94% match