Skip to main content
SimilarExport ZIP
100%

question_2

✓ Published0🌍 Public
Eeedaraajay02@gmail.com
Last edited Apr 15, 2024
Created on Apr 15, 2024
Forked from Hello VizHub

This example visualizes the classic Iris flower dataset, plotting petal and sepal lengths for each species along a horizontal axis. It uses D3.js v7 with a band scale for the categorical species on the y-axis and a linear scale for length. Circles are rendered in SVG, with petal lengths in steel blue and sepal lengths in green. Hovering changes a circle's fill color. The code loads data via `d3.csv` and uses `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, and `d3.axisLeft` to construct the chart.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

Similar vizzes

Loading thumbnail…

question 2

This visualization displays the Iris dataset as a stacked bar chart, breaking down sepal and petal measurements for each species. It uses D3 v6 functions `d3.csv`, `d3.stack`, `scaleBand`, and `scaleLinear` to aggregate and position the bars. The SVG output is rendered with `d3.select` and the `join` operator, while axes are drawn using `d3.axisBottom` and `d3.axisLeft`. A linear color scale maps attribute indices to a two-tone palette, distinguishing the four measurement categories.

SSreeKohaliPatel@my.unt.edu
88% match
Loading thumbnail…

question 3

This visualization displays the Iris dataset as a D3 scatter plot, mapping petal width against sepal length for individual flower samples. The code uses d3.csv to load the data from a GitHub Gist, then applies scaleLinear, scaleOrdinal, axisLeft, and axisBottom to construct the chart. Each data point is rendered as a distinct SVG symbol generated with d3.symbol and colored by species. The visualization includes labeled axes and is implemented as a reusable scatterPlot component.

Hharipriyaa07
88% match
Loading thumbnail…

Question3

This visualization is a scatter plot of the Iris flower dataset, mapping sepal length on the x-axis and petal length on the y-axis, with points colored by species. It uses D3 v7's `scaleLinear`, `scaleOrdinal`, and `symbolsFill` to position points and assign shapes, while the `axisLeft` and `axisBottom` functions render labeled axes. A custom shape legend, built with `shapeLegend` and D3's `symbol` generator, identifies each species. The plot is rendered in a full-window SVG, with data loaded via `csvParse` from an external source.

Ttejaswiteju9811@gmail.com
87% match
Loading thumbnail…

question3_act6

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with circle colors representing the three species (setosa, versicolor, and virginica). The visualization uses D3 v6 to load CSV data from a remote URL, scale the values to the screen dimensions, and render SVG circles with fixed radius. The code also stores but does not visually use sepal measurements as additional data attributes on each circle. Axes are drawn using D3’s `axisLeft` and `axisBottom`, with custom axis labels for petal length and sepal length.

Bbhavyamoturi2509@gmail.com
87% match
Loading thumbnail…

question 2

This example displays petal length distribution across iris species using a stacked area chart. It loads data from a remote CSV file and renders an SVG visualization. The code imports D3 functions including `csv`, `scaleBand`, `scaleLinear`, `stack`, and `area`. It constructs an area generator with band scale positioning, adds axes via `axisBottom` and `axisLeft`, and labels the chart with a title. The visualization shows how petal lengths vary among species, with steelblue filling for the area.

Ppavithranamburi24@gmail.com
87% match
Loading thumbnail…

Question1

A scatterplot visualizes the Iris dataset, comparing petal length against petal width while encoding sepal dimensions and species through circle properties. Each point's fill color distinguishes three species (setosa, versicolor, virginica), while the circle's `rx` and `ry` attributes reflect sepal length and width, respectively. The visualization loads data via `d3.csv`, maps values through `scaleLinear` with `extent` domains, and renders axes using `axisLeft` and `axisBottom`. The code uses D3 v6's selection and data-join methods (`selectAll`, `join`) to append SVG circles.

Vvishu.valandas@gmail.com
87% match
Loading thumbnail…

activity6_question3

This visualization shows the Iris dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, and virginica). Using D3 v6, it loads CSV data via `d3.csv`, scales the coordinates with `scaleLinear` and `extent`, and renders circles on an SVG canvas. It also includes axes via `axisLeft` and `axisBottom`, with inverted y-axis scaling and labeled axes. The code processes raw numeric fields—sepal and petal measurements—to position each data point.

Ddineshreddy.ravula@gmail.com
87% match
Loading thumbnail…

question 3.1

This example displays the Iris dataset as a scatter plot of petal length against petal width, with each circle colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). It also encodes sepal length and sepal width as the `rx` and `ry` attributes on each circle, creating distorted ellipses. The code loads CSV data via `d3.csv`, uses `scaleLinear` for axes, and renders SVG circles and axes with `select`, `join`, `axisLeft`, and `axisBottom`.

Ttsumanth619@gmail.com
87% match