Task-8(Tutorial-3)

Task-8(Q3)

This example displays a scatter plot of the Iris dataset, visualizing petal length against petal width with points colored by species (setosa, versicolor, virginica). The visualization uses D3 v6 to load CSV data, map values through `scaleLinear` and `extent`, and render SVG circles. Axes are generated with `axisLeft` and `axisBottom`, with labels rotated via `transform`, and the chart fills the browser window using `window.innerWidth` and `innerHeight`.

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Task 8 tutorial 3

This scatter plot visualizes the Iris dataset, mapping petal length and width on the axes, with points colored by species (setosa, versicolor, and virginica). The chart uses D3 v6’s `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to load data from a GitHub-hosted CSV and render the SVG. In addition to the petal measurements, the code accesses sepal length and width values, though these are not plotted in the visible marks. The visualization includes custom-styled axis labels and colored circles with a fixed radius.

YYeshwanth963@gmail.com

Fork of Task-8(Tutorial-3)

This scatter plot visualizes the Iris dataset, mapping petal length and width for each sample while coloring points by species (setosa, versicolor, and virginica). The visualization uses D3 v6's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct the axes, with circle elements rendered via SVG. Data is loaded asynchronously from a GitHub-hosted CSV file using D3's `csv` function, and the chart dimensions adapt to the browser window size.

Fork of Task-8(Tutorial-3)

Task-8

This example visualizes the Iris dataset with a scatter plot, mapping petal length and width on the x- and y-axes while coloring each point by species (setosa, versicolor, and virginica). It uses D3 v6’s `csv`, `scaleLinear`, `extent`, and `axisLeft`/`axisBottom` APIs to load data, position circles, and render axes as SVG, with data sourced from a GitHub-hosted CSV. Colors are assigned via a switch statement, and axis labels are added as SVG text elements.

Ppraneeth7222@gmail.com

Task-4(Tutorial-3)

This scatter plot visualizes the Iris dataset by mapping petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa, versicolor, or virginica). The ellipses also encode sepal length and width via the `rx` and `ry` attributes. Built with D3 v6, it loads CSV data via `d3.csv`, uses `scaleLinear` and `extent` for axes, and renders SVG circles with `axisLeft` and `axisBottom`. The code imports D3 functions through destructuring from the UNPKG-hosted library.

Jjyothirmaijyothi2017@gmail.com

Task8_Tutorial3.1

This scatter plot visualizes the Iris dataset, mapping petal length and width as the x and y coordinates of each point. The points are colored by species (setosa, versicolor, or virginica) using a custom color-switching function, while the point radii (`rx`, `ry`) encode sepal length and width. The visualization loads data via D3's `csv` method, uses `scaleLinear` to map domain values to SVG pixel ranges, and renders axes with `axisLeft` and `axisBottom`. The code employs D3 v6's selection-based `join` for efficient SVG circle creation, with global window dimensions defining the chart area.

Task 8-Tutorial3.1

A scatter plot displays the Iris dataset, mapping petal length and width to the x and y axes. Points are colored by species (setosa, versicolor, virginica) using a custom color function. The visualization is built with D3 v6, using `scaleLinear` for axes, `extent` for domains, and `axisLeft`/`axisBottom` for tick marks, rendered as SVG circles within an HTML page. Data is loaded from a CSV URL.

SSushmaNamidi@my.unt.edu