ICE-6 Scatter Plot-ESWARPVR

100%

ICE-6 Scatter Plot-ESWARPVR

✓ Published0🌍 Public

Last edited Jun 26, 2023

Created on Jun 26, 2023

This interactive scatter plot visualizes the Iris dataset by mapping petal length and petal width to the x- and y-axes, with each point colored according to species. The visualization renders as an SVG using D3 v6, loading data via `d3.csv` from a GitHub gist. It employs `scaleLinear` and `extent` for axis scaling, along with `axisLeft` and `axisBottom` to display tick marks. The code also defines a `marker` function that assigns colors to different species, though the actual color mappings are not fully implemented.

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…

ICE-6 Scatter Plot-ESWARPVR

This scatter plot visualizes the Iris dataset, mapping petal length and width for each sample while color-coding points by species (setosa, versicolor, virginica). The visualization uses D3 v6’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to construct the axes, with raw SVG circles for marks. Data is loaded asynchronously via `d3.csv` from a remote GitHub gist, and point color is determined by a switch statement on species. The chart adapts to the browser window’s dimensions, with labeled axes for petal and sepal measurements.

Ppvreswar7@gmail.com

97% match

Loading thumbnail…

Reusable Scatter plot-ICE7 ESWARPVR

This animated scatter plot explores the Iris dataset, visualizing relationships between sepal and petal measurements. It cycles through different attribute combinations on the x-axis while keeping petal width on the y-axis, with points colored by species. Built with D3.js, it uses `scaleLinear`, `axisLeft`, and `axisBottom` for scales and axes, and `setInterval` to rotate the displayed variables. The SVG rendering includes a legend and custom labels, with data loaded via `d3.csv` from a GitHub Gist.

Ppvreswar7@gmail.com

90% match

Loading thumbnail…

ICE-6 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length and petal width on the axes while coloring points by species. The chart uses D3 v6 with SVG rendering, loading CSV data via `d3.csv` and parsing numeric values. Scales are created with `d3.scaleLinear` and axes with `d3.axisLeft` and `d3.axisBottom`. Circles are drawn with `d3.selectAll` and a data join, with fill colors assigned per species via a switch function. Axis labels are added as SVG text elements.

Llikith1266

90% match

Loading thumbnail…

ICE6: Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width for each specimen while color-coding points by species. The visualization uses D3 v6’s `scaleLinear`, `axisLeft`, and `axisBottom` to construct the axes, with SVG circles as marks. Data is loaded asynchronously via `d3.csv` from a GitHub Gist, and numeric fields are coerced with a custom row parser. The chart fills the browser window, with species-specific colors assigned through a switch statement and styled with a green background.

HHarishma Nallala

90% match

Loading thumbnail…

ICE 6: Iris Dataset Scatter Plot

This D3.js scatter plot visualizes the Iris dataset, mapping petal length and petal width to the x- and y-axes while coloring points by species (setosa, versicolor, virginica). The SVG rendering uses `d3.csv`, `d3.scaleLinear`, `d3.extent`, and `d3.axisLeft`/`d3.axisBottom` to produce a full-width interactive chart. Circles include `rx` and `ry` attributes from sepal measurements, though these do not affect the visible circular markers, which have a fixed radius. The plot loads raw CSV data from a GitHub gist and labels both axes.

AAnjan Shrestha

89% match

Loading thumbnail…

ICE - 6 Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width on the axes while coloring each point by species (setosa, virginica, or versicolor). Built with D3 v6, it uses `scaleLinear`, `extent`, and `axisBottom`/`axisLeft` to generate the axes and `select` to append SVG circles with a fixed radius. The code also parses numeric fields from CSV data and applies a custom color marker for species.

SSaiSree0122

89% match

Loading thumbnail…

ICE-6 Scatter Plot

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 (setosa, versicolor, or virginica). The visualization uses D3 v6’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct axes, while circles are bound to the data via `selectAll` and `join`. Data is loaded asynchronously from a CSV URL using D3’s `csv` function, with numeric parsing applied to all measurements. The chart fills the browser window, displaying axis labels for petal length and sepal length.

Ggayathrikavya

89% match

Loading thumbnail…

ICE-6 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length and width while coloring points by species (setosa, versicolor, virginica). The code loads CSV data via `d3.csv`, scales positions with `d3.scaleLinear`, and renders circles as SVG elements using `d3.selectAll` and `join`. Axes are created with `d3.axisLeft` and `d3.axisBottom`, with custom red axis labels. The visualization uses a React framework shell but relies on vanilla D3 v6 for rendering directly into the DOM.

MMgk1255

89% match