Skip to main content
SimilarExport ZIP
100%

activity 6 tutorial3

✓ Published0🌍 Public
Ttsumanth619@gmail.com
Last edited Apr 4, 2024
Created on Apr 4, 2024
Forked from Hello VizHub

This chart displays the Iris dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis, with each species assigned a distinct color. The visualization uses D3.v6, loading data via `d3.csv` and rendering marks as SVG circles. It employs `d3.scaleLinear` for axes, `d3.extent` for domain calculation, and `d3.axisBottom` and `d3.axisLeft` for tick marks. Although sepal length and width are parsed, only petal dimensions are plotted, with species color encoded through a switch statement.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

Similar vizzes

Loading thumbnail…

activity6 tutorial 3.1

This scatter plot visualizes the Iris dataset, mapping petal length and petal width for each sample while coloring points by species (blue, green, or orange). The chart uses D3 v6 methods including `d3.csv` for data loading, `d3.scaleLinear` for axis scaling, and `d3.axisLeft`/`d3.axisBottom` for ticks. Circles are rendered via SVG with a fixed radius, and text labels for axes are rotated and styled. Data comes from a GitHub-hosted CSV file, parsed with a custom row handler.

Nnissisharon61@gmail.com
94% 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
93% match
Loading thumbnail…

Activity6_Tutorial3.1

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width for three species, with each point colored by species (skyblue, lightgreen, or orange) and sized by sepal dimensions. The visualization uses D3 v6's `csv` loader to fetch data from a GitHub gist, then applies `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to create scaled axes and map data coordinates to SVG circle elements. The chart renders within a full-window SVG, with green axis labels and a red title, highlighting species clusters across the petal measurements.

Ggnanendra097@gmail.com
93% match
Loading thumbnail…

Activity_6_Tutorial_3.1

A scatter plot of the Iris dataset shows sepal length on the x-axis versus petal length on the y-axis, with each of the three species distinguished by color. The visualization uses D3 v7 with SVG rendering, employing `d3.scaleLinear` for axes, `d3.scaleOrdinal` with `d3.schemeCategory10` for species colors, and `d3.axisBottom`/`d3.axisLeft` for tick marks. Data is loaded asynchronously from a local CSV via `d3.csv`, and circles represent individual observations across 150 flowers.

Cchowdaryhemanth14@gmail.com
93% match
Loading thumbnail…

Activity 6 Tutorial 3.1

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) using green, orange, and skyblue markers. The visualization also encodes sepal dimensions as the x and y radii of each circle. Built with d3.v6, the example uses `d3.csv` to load data from a GitHub gist, `d3.scaleLinear` for axes, and `d3.extent` to compute domains, rendering circles as SVG elements with axis labels and ticks.

Kkoushikkumarreddykoorapati@my.unt.edu
93% match
Loading thumbnail…

activity 6 tutorial 3.2

This scatter plot displays iris flower measurements, mapping sepal length to the x-axis and petal length to the y-axis, with species indicated by different symbol shapes. The visualization uses D3 v7 modules including `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and the `axisLeft`/`axisBottom` components. A custom shape legend explains the species encoding, while the data loads asynchronously from a remote CSV file and is parsed with `csvParse`. The chart dynamically resizes to fit the browser window.

Ttsumanth619@gmail.com
93% match
Loading thumbnail…

Activity-6Tutorial-3

This scatter plot visualizes the Iris dataset, mapping petal length and width as point coordinates while encoding species with distinct colors. The chart uses D3 version 6, loaded via UNPKG, with a data pipeline that fetches CSV data and parses it with `d3.csv`. The implementation builds an SVG visualization using `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct the axes, while circles are rendered with size and shape variations based on sepal dimensions.

Gganeshrajuparmalla@my.unt.edu
93% match
Loading thumbnail…

Tutorial3_Activity6

This visualization displays the Iris dataset as a scatter plot, using petal length and petal width along the axes while coloring each point by iris species (setosa, versicolor, or virginica). The chart also includes the sepal dimensions as data attributes on each circle. The code loads the data via D3’s `csv` parser, scales the positions with `scaleLinear`, and renders circles with axes generated by `axisLeft` and `axisBottom`. It uses D3 v6, appends an SVG, and applies a rotation for the y-axis label.

Ssanjanadadi19@gmail.com
93% match