ATS - Variable driven multi plot

100%

ATS - Variable driven multi plot

✓ Published0🌍 Public

Last edited Aug 14, 2024

Created on Aug 14, 2024

A dashboard of four synchronized scatterplots explores the Iris dataset, each plot pairing different sepal and petal dimensions while encoding a third measurement as point radius. D3.js scales map data values to pixel positions and sizes, with ordinal coloring distinguishing the three species. Variables drive each plot’s configuration, setting axes, titles, and dimensions dynamically. The SVG-based visualization renders data from the local iris.csv file, with shared legends and colored borders framing each quadrant.

AI-generated description

A reproduction of a Sol LeWitt art piece.

MIT Licensed

Similar vizzes

Loading thumbnail…

ATS - Responsive Reusable Scatter

This example builds a responsive two-panel scatterplot dashboard of the classic Iris dataset, showing sepal dimensions in one view and petal dimensions in the other. Each panel encodes an additional variable through point size, with circle area scaled by the product of the other two measurements, and colors species via a D3 ordinal scale. The reusable scatterPlot function uses d3.scaleLinear, d3.axisLeft, d3.axisBottom, and d3.symbol to render SVG marks, axes, grids, and legends. The layout adapts from a side-by-side grid to a stacked single-column arrangement below 640px via CSS media queries.

Xxscotta@yahoo.com

87% match

Loading thumbnail…

ATS - Scatter Plot

This scatter plot visualizes the Iris dataset, showing sepal length and width for three iris species while encoding the relative petal size (petal length multiplied by petal width) as the radius of each circle. The visualization is built with D3.js, using `d3.select`, `d3.csv`, `d3.scaleLinear` for x, y, and radius mappings, and `d3.scaleOrdinal` for color coding by species, with a legend and grid lines.

Xxscotta@yahoo.com

85% match

Loading thumbnail…

ATS Dual Scatterplot

The ATS Dual Scatterplot presents two side-by-side scatter plots visualizing the Iris dataset. The left plot maps sepal length against sepal width, while the right plot maps petal length against petal width, with point sizes encoding the product of the other two dimensions. Both plots color points by species. The visualization uses custom D3 code, including `d3.scaleLinear`, `d3.extent`, and `d3.symbol`, to render SVG circles, axes, grids, and legends. The `scatterPlot` function is a reusable module, and data loading uses `d3.csv`.

Xxscotta@yahoo.com

84% match

Loading thumbnail…

Task9&10

This example presents an animated scatterplot of the Iris dataset, cycling through four different variable pairings on the x-axis while keeping petal width on the y-axis. Points are colored by species (setosa, versicolor, virginica) and rendered as ellipses using their sepal dimensions. The visualization uses D3 v6 via UNPKG, employing `scaleLinear`, `axisLeft`, and `axisBottom` from the scatterPlot module. A `setInterval` updates the x-value mapping every few seconds, while SVG elements like circles and text labels are dynamically joined and appended. Data loads from a CSV URL using `d3.csv`.

Mmdadeebfarhaan@gmail.com

81% match

Loading thumbnail…

debug of ATS - Reusable Scatter

This example demonstrates a reusable scatterplot component built with D3.js that visualizes the Iris flower dataset, plotting sepal length against sepal width while encoding petal size through point radius and species through color. The code constructs the chart using D3's `scaleLinear` for axes and point sizing, `scaleOrdinal` for categorical color assignment, and `symbol` with `symbolCircle` to render the data points as SVG paths. The visualization includes axis labels, a title, and a grid, all rendered as SVG elements within a bounded container, with the reusable chart function accepting configurable dimensions, margins, and data accessors.

Xxscotta@yahoo.com

81% match

Loading thumbnail…

fork_scatterplot_act8

This interactive scatterplot visualizes the Iris dataset, showing petal width against sepal length with points colored by species. Using D3.js and SVG, the plot animates through different variable combinations every few seconds, cycling through all four flower measurements as axes. The visualization updates axes and scales dynamically via `setInterval`, while a legend identifies the three species with distinct colors. Built with `d3.csv`, `d3.scaleLinear`, and axis components, it demonstrates a reusable scatterplot module with real-time data exploration.

DDee

81% match

Loading thumbnail…

act 7.1

This animated scatterplot explores the Iris dataset, cycling through four feature pairings on the axes every few seconds. Each point represents a flower, colored by species (setosa, versicolor, virginica) with a fixed legend and title. The visualization is built with D3.js, using `scaleLinear`, `axisLeft`, `axisBottom`, and a reusable `scatterPlot` function. SVG elements are updated via `setInterval` to swap the x-axis variable, while separate circle elements encode the current marks and static legend shapes persist.

Ggalijawaharnath@gmail.com

80% match

Loading thumbnail…

Iris Scatter Plot

This interactive scatter plot visualizes the Iris dataset, showing the distribution of three iris species across four measurable attributes (sepal and petal length/width). Users can dynamically swap the variables assigned to the x- and y-axes via dropdown menus, with each species colored using a categorical scale. The visualization is built with D3 v5, using `d3.scaleLinear` for axes, `d3.legendColor` for the legend, and SVG rendering for the circles and grid lines. The plot updates by re-rendering the entire SVG when a new axis selection is made.

Iimsohandsome123

80% match