Skip to main content
SimilarExport ZIP
100%

activity6_tutorial3

✓ Published0🌍 Public
1188r1a0559@gmail.com
Last edited Apr 4, 2024
Created on Apr 4, 2024
Forked from tutorial1

This scatter plot visualizes the Iris dataset, mapping petal length and petal width for each sample while coloring points by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange markers. The D3.js v6 code loads CSV data from a remote GitHub repository and uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct axes and position circles in an SVG. The visualization includes rotated axis labels for petal length and sepal length, with a fixed radius of 5 pixels for each circle.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

Similar vizzes

Loading thumbnail…

activity6_tutorial3

This scatter plot visualizes the Iris dataset, mapping petal length and petal width for each sample while coloring points by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange markers. The D3.js v6 code loads CSV data from a remote GitHub repository and uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct axes and position circles in an SVG. The visualization includes rotated axis labels for petal length and sepal length, with a fixed radius of 5 pixels for each circle.

1188r1a0559@gmail.com
100% 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
96% 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
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 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
95% 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
95% 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
95% match
Loading thumbnail…

Activity 6_tutorial 3.1

This scatter plot visualizes the Iris dataset, plotting petal length against petal width and coloring each point by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange. The code loads CSV data from a GitHub gist, scales the x and y axes with `d3.scaleLinear`, and renders circles in an SVG using `d3.select` and `data.join`. Axis labels and ticks are appended via `d3.axisLeft` and `d3.axisBottom`, with margins and a fixed radius of 5 pixels for each point.

Ssairohithchada@gmail.com
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
95% match