Skip to main content
SimilarExport ZIP
100%

Activity6_task3

✓ Published0🌍 Public
Ppaulphillips@my.unt.edu
Last edited Oct 21, 2024
Created on Oct 21, 2024

This visualization displays a scatter plot of the Iris dataset, plotting petal length against petal width, with points colored by species (setosa, versicolor, or virginica). The chart uses D3 v6’s `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while SVG circles are sized by sepal length and width via the `rx` and `ry` attributes, creating an ellipse-like marker. Data is loaded asynchronously from a remote CSV using `d3.csv`, and the plot fills the browser window with margins configured for axis labels.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_task3

This visualization displays a scatter plot of the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis. Data points are colored by species (setosa, versicolor, and virginica) using a predefined color scale. The example uses D3 v6 via UNPKG, loading CSV data asynchronously with `d3.csv`, and rendering circles with an SVG-based approach. Axes are generated through `d3.axisLeft` and `d3.axisBottom`, with linear scales (`d3.scaleLinear`) for positioning and `d3.extent` for domain calculation, resulting in a clean, labeled chart.

Jjahnavigummadi@my.unt.edu
97% match
Loading thumbnail…

Activity6_Task3

This visualization displays the Iris dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis while coloring each point by species. Using D3 v6, it loads CSV data via `d3.csv`, applies `scaleLinear` for both axes, and renders circles with `d3.selectAll` and `.join`. Axis labels are added via `axisLeft` and `axisBottom`, with rotated text for the vertical label. Despite naming variables for sepal length and width, only petal dimensions are plotted, while species hues are hardcoded for setosa, versicolor, and virginica.

Aamarnadhkari98@gmail.com
96% match
Loading thumbnail…

Activity6_task3

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, while coloring each circle by species (setosa, versicolor, and virginica). The chart displays all 150 data points using SVG circles, with species-specific colors applied via a switch function. Built with D3 v6, the visualization uses `d3.csv` to load data from a GitHub-hosted CSV, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for tick marks. Axis labels are styled with green text for petal length and sepal length.

Ddineshreddy.ravula@gmail.com
96% match
Loading thumbnail…

Activitity6_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 visualization uses d3.csv to load data, d3.scaleLinear for both axes, and d3.axisLeft and d3.axisBottom to render ticks. Circles are drawn via SVG selection joins with the fill color determined by a species-based marker function. The chart includes labeled axes for petal length and sepal width, rendered in green text within a full-window SVG.

GGunna,Praneeth Reddy
96% match
Loading thumbnail…

Activity6_Task3

This scatter plot visualization displays the Iris dataset, showing the relationship between petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa, versicolor, and virginica). The chart uses d3.csv to load the data, d3.scaleLinear for axes, d3.extent to set domains, and d3.axisLeft/axisBottom for rendering ticks. The SVG circles are positioned using the scaling functions, while the code also parses sepal measurements though they are not plotted. Axis labels appear rotated and positioned manually, with the visualization rendered entirely as SVG in a full-window viewport.

PPothuguntla Pranitha
96% match
Loading thumbnail…

Activity 6_task 3

This scatter plot visualizes the Iris dataset, showing petal length against petal width for individual flowers, with points colored by species (setosa in skyblue, versicolor in lightgreen, and virginica in orange). The visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data from a GitHub-hosted CSV, map values to screen coordinates, and render an SVG with labeled axes. Each circle’s radius is fixed at five pixels, though the code also computes sepal dimensions as additional metadata.

Jjampani921@gmail.com
96% 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
96% match
Loading thumbnail…

Activity6_Task3

This visualization displays the Iris dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis. Each flower species is distinguished by color: setosa appears skyblue, versicolor lightgreen, and virginica orange. The circles also encode sepal length and width through elliptical scaling via the rx and ry attributes. Built with D3 v6, it uses `d3.csv` to load data, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for rendering, with SVG circles and custom axis labels.

GGOPI MUPPURI
96% match