Skip to main content
SimilarExport ZIP
100%

Activity 6_Task 3.1_Tutorial

✓ Published1🌍 Public
Sshettisowmya01@gmail.com
Last edited Oct 20, 2024
Created on Oct 20, 2024
Forked from Hello VizHub

This scatter plot visualizes the Iris dataset, mapping petal length and width as the x- and y-axes, with each point colored by species (setosa, versicolor, or virginica). D3 v6 loads the CSV via `d3.csv`, and uses `d3.scaleLinear`, `d3.extent`, and `d3.axisLeft`/`d3.axisBottom` to render axes. Circles are drawn with SVG, and their radii are fixed, but the `rx` and `ry` attributes are set to sepal length and width, creating elliptical markers. Data is sourced from a GitHub-hosted CSV file.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_Task3.1

This scatter plot visualizes the Iris dataset by mapping petal length and petal width, with points colored by species (setosa, versicolor, virginica). Using D3 v6, the code loads CSV data with the `csv` function, creates axes with `axisLeft` and `axisBottom`, and applies `scaleLinear` for positioning. Circles are rendered via SVG selections, with an unusual use of `rx` and `ry` attributes based on sepal dimensions. The raw data comes from a GitHub-hosted CSV file.

VVidya Lakshmi Chitturi
96% match
Loading thumbnail…

Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping petal length and width for individual flowers while coloring points by species (setosa, versicolor, virginica) using an SVG circle per data row. D3 v6 loads CSV data via `d3.csv` from a GitHub raw URL, then applies `scaleLinear` and `extent` to position marks, with `axisLeft` and `axisBottom` generating labeled axes. The code also binds sepal measurements to circle radius attributes via `rx` and `ry`, though visual scaling is not applied.

KKhushi Desai
96% 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
95% match
Loading thumbnail…

Activity 6_Task 3.1_Tutorial

This scatter plot visualizes the Iris dataset, mapping petal length and width for each flower sample. Points are colored by species, with setosa in blue, versicolor in green, and virginica in red. The code loads the CSV data via d3.csv, then uses d3.scaleLinear with d3.extent to establish the x and y scales, and renders circles with d3.selectAll and .join. Axes are generated using d3.axisLeft and d3.axisBottom, with custom labels added as SVG text elements. The visualization fills the browser window using window.innerWidth and window.innerHeight.

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

Activity6_Task3.1

This scatter plot visualizes the Iris dataset, mapping petal length and petal width as x and y coordinates while coloring each point by species (setosa, versicolor, or virginica). It loads CSV data from a GitHub URL and renders circles with D3 v6, using `d3.csv`, `scaleLinear`, `extent`, and `axisLeft`/`axisBottom` to construct axes. The SVG-based visualization labels both axes and includes a fixed point radius, with species-specific colors applied via a switch statement.

Vvemulasai306@gmail.com
95% match
Loading thumbnail…

Activity6 Tutorial3

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, and virginica). It renders as an SVG using D3 v6, employing `d3.csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, map scales, and draw axes. The code also applies a custom marker function to assign species-specific colors to each circle. Data is sourced from a raw GitHub CSV file, with page-filling dimensions based on `window.innerWidth` and `window.innerHeight`.

Yyadlapallisaisathvik@gmail.com
95% match
Loading thumbnail…

Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping petal length and width on the x and y axes while coloring each point by species (setosa, versicolor, virginica). It uses D3 v6’s `csv`, `select`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load and render the data as SVG circles. The chart also encodes sepal dimensions into the ellipses’ `rx` and `ry` attributes, though the radius remains constant. Data is fetched from a GitHub-hosted CSV file.

Iiftequaruddin883@gmail.com
95% match
Loading thumbnail…

Activity6_Tutorial3.1

This scatter plot visualizes the Iris dataset, mapping petal length and width on the x- and y-axes while coloring each point by species (setosa, versicolor, virginica). The visualization uses D3 v6 and SVG rendering, loading data from a remote CSV via `d3.csv` and scaling coordinates with `d3.scaleLinear`. Circles are drawn with `selectAll` and `join`, with axes generated by `d3.axisLeft` and `d3.axisBottom`, accompanied by rotated axis labels.

Ddandudivya98@gmail.com
95% match