Skip to main content
SimilarExport ZIP
100%

Task8_Tutorial3.1_HKK

✓ Published0🌍 Public
Hhemanthkakani1999@gmail.com
Last edited Apr 15, 2024
Created on Apr 15, 2024

This scatter plot visualizes the Iris dataset, plotting petal length on the x-axis and petal width on the y-axis, with data points colored by species (setosa, versicolor, virginica). The visualization is rendered as an SVG using D3 v6, employing `scaleLinear` for axes, `extent` for domain scaling, and `axisLeft`/`axisBottom` for ticks. Circle radii are fixed, while the code also maps sepal dimensions to `rx`/`ry` attributes, though these do not affect the circular marks. The plot includes rotated axis labels for petal length and sepal length.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Task8_Tutorial3.2_HKK

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis. It encodes the three iris species using different symbol shapes, with a legend labeled "SPECIES" positioned at the right. The visualization is built with D3 v7, using `scaleLinear` for axes, `scaleOrdinal` with `symbolsFill` for shape encoding, and a custom `shapeLegend` module. Data is loaded asynchronously from a CSV file and parsed with `csvParse`, with all marks rendered as SVG `path` elements.

Hhemanthkakani1999@gmail.com
93% match
Loading thumbnail…

Task8_Tutorial3.1

This scatter plot visualizes the Iris dataset, mapping petal length and width to the x- and y-axes. Points are colored by species (setosa, versicolor, virginica) using a manual switch statement. The visualization is created with D3 v6, using `scaleLinear`, `extent`, and `axisLeft`/`axisBottom` for axes. Data is loaded from a remote CSV via `d3.csv`, and circles are rendered in SVG, with sepal dimensions also encoded but not visually used.

KKeerthi
92% match
Loading thumbnail…

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.

Jjyothirmaijyothi2017@gmail.com
92% match
Loading thumbnail…

Task8_Tutorial3.1

This scatter plot visualizes the Iris dataset, mapping petal length and width on the x- and y-axes, with each point colored by species (setosa, versicolor, virginica). The plot uses D3 v6.7.0’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to construct the chart, which is rendered as an SVG. Data is loaded from a remote CSV using D3’s `csv` helper, and circles are positioned with attributes for `cx`, `cy`, and fill color, though the code also encodes non-visual sepal measurements in unused `rx` and `ry` properties.

Sshraehithareddy@gmail.com
92% match
Loading thumbnail…

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
91% match
Loading thumbnail…

Tutorial 8 task 3.1

This scatter plot visualizes the Iris dataset, mapping petal length and petal width for each sample. The visualization encodes species through distinct colors, with sepal length and width values represented by the circle radii. The example loads data from a remote CSV file and uses D3 version 6’s scaleLinear, extent, and axis functions to create the chart. It renders the plot as an SVG, applying a short syntax for data-driven circle creation.

Jjaswanthichowdarykalapala@my.unt.edu
91% match
Loading thumbnail…

Task8_task3

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). The code also stores sepal length and width values per point, though these are not currently mapped to visual encodings. Built with D3 v6, it loads the CSV data from a GitHub gist, uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct the axes, and renders colored circles as SVG markers. The chart fills the browser window, with labeled axes for petal length and sepal length.

Mmulyasuji999@gmail.com
91% match
Loading thumbnail…

TASK8_TUTORIAL3

This scatter plot displays the Iris dataset, mapping petal length and width for each sample while using color to distinguish between the three species (setosa, versicolor, and virginica). It also encodes sepal dimensions as the `rx` and `ry` attributes, though the circles are rendered with a fixed radius, making these values not visually apparent. The visualization is built with D3 v6, loading the CSV data via `d3.csv`, and using `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to construct the scales and axes. SVG circles are drawn on a full-window canvas, with a red title and green axis labels.

Ttarunskuruvadi@gmail.com
91% match