Brushable scatterplot2

100%

Brushable scatterplot2

✓ Published0🌍 Public

Last edited Oct 9, 2023

Created on Oct 9, 2023

This interactive scatterplot matrix displays the iris dataset, showing pairwise relationships between four flower measurements (sepal and petal length and width) alongside histograms on the diagonal. The visualization uses d3.csv to load the data and d3.scaleLinear with d3.axisBottom and d3.axisLeft for axes. Points are colored by species using d3.scaleOrdinal, with colors distinguishing setosa, versicolor, and virginica. The chart is built entirely with SVG, and while brushable functionality is mentioned in the title, the code shown does not implement brushing interactions.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Brushable Scatterplot

This interactive scatterplot matrix displays the Iris dataset, showing pairwise relationships between four floral measurements. Each off-diagonal cell contains a scatterplot of data points colored by species, while diagonal cells display histograms of individual feature distributions. Users can brush rectangular regions across any plot to highlight corresponding points in all other cells, enabling rapid comparison of multi-dimensional correlations. The visualization is built with D3 v4, using d3.brush for the linked selections, d3.scaleLinear for axes, and d3.axisBottom/Left for tick marks, rendered as SVG.

Cchingching17

94% match

Loading thumbnail…

Brushable Scatter Plot Matrix

This interactive scatter plot matrix visualizes the Iris dataset, showing pairwise relationships between four flower measurements—sepal length, sepal width, petal length, and petal width—with points colored by species. Using d3.brush, users can drag across any off-diagonal cell to filter and highlight points across all other cells simultaneously, while diagonal cells display histograms of each variable's distribution. The visualization is built with d3.v4, rendering axes and circles as SVG elements, with scales derived from the CSV data's numeric ranges.

Hhi4u2qzy@gmail.com

93% match

Loading thumbnail…

Brushable Scatter Plot Matrix

A brushable scatter plot matrix displays pairwise relationships among four numeric iris flower measurements, with histograms along the diagonal showing each variable's distribution and points colored by species. The visualization is built using D3 v7, rendering SVG elements via `d3.csv` for data loading, `d3.scaleLinear` for axes, `d3.axisBottom` and `d3.axisLeft` for ticks, and `d3.histogram` for binning the diagonal distributions. Each off-diagonal cell encodes two variables as a scatterplot, while the color scale uses `d3.scaleOrdinal` with `d3.schemeCategory10` to distinguish Iris species.

Yyuting89830@gmail.com

92% match

Loading thumbnail…

Brushable scattered plot

This visualization presents a brushable scatter plot matrix of the classic Iris dataset, showing pairwise relationships between four floral measurements across 150 flowers. Users can brush points in any scatter plot pane to highlight selections, which are then reflected in all other panels and as color-coded, stacked histograms along the diagonal. The chart is built with D3 v7, using `d3.brush` for interactive selection, `d3.scalePoint` for panel positioning, and SVG elements for all rendering. Each flower is colored by its species using an ordinal scale, with unselected points rendered in black.

Sstanley.shen2003@gmail.com

91% match

Loading thumbnail…

scatterplot

This scatterplot matrix visualizes the Iris dataset, showing pairwise relationships between sepal and petal measurements, with histograms along the diagonal and color-coded points by species. The plot uses d3.brush for interactive brushing and selection across cells, while d3.histogram generates the diagonal distributions. SVG rendering with d3.scaleLinear, d3.scaleOrdinal, and axis components handles scaling and annotation. The interface allows brushing to highlight subsets across all scatterplots simultaneously, with non-selected points dimmed via a hidden class.

Ddaniel

90% match

Loading thumbnail…

Fork of HW04-Brushable Scatter Plot Matrix

This visualization is a brushable scatter plot matrix of the Iris dataset, showing pairwise relationships between sepal and petal measurements. Each off-diagonal cell displays colored scatter points by iris species, while diagonal cells show histograms of individual trait distributions. Users can brush over any cell to highlight corresponding points across all other plots. The code uses D3 v4 with SVG rendering, employing `d3.brush`, `d3.histogram`, `d3.scaleLinear`, and `d3.scaleOrdinal` to generate the interactive matrix. Data is loaded from a local CSV file.

Ccpsu00

90% match

Loading thumbnail…

HW4 Brushable Scatterplot Matrix

A brushable scatterplot matrix displays pairwise relationships among four Iris flower measurements (sepal length, sepal width, petal length, petal width) from the classic Iris dataset. Users drag a brush rectangle over any scatterplot cell to highlight corresponding points across all other cells, while unselected points dim. Diagonal cells show histograms of each measurement. The visualization uses D3 v7 with `d3.scaleLinear` axes, `d3.brush` for interactive selection, and SVG rendering; three Iris species are color-coded with distinct hex values.

RRachel Chen

90% match

Loading thumbnail…

Fork of HW4 Brushable Scatterplot Matrix

This interactive scatterplot matrix visualizes the Iris dataset, displaying pairwise relationships between sepal and petal measurements across all combinations. Each off-diagonal cell shows a scatterplot of points colored by species, while diagonal cells display histograms of individual variables. Users can brush selections within any scatterplot cell to highlight corresponding points across all other cells simultaneously, with brushed points remaining visible while others fade to gray. The visualization uses D3 v7 with SVG rendering, employing `d3.brush()` for interactive selection, `d3.scaleLinear()` for axes, and `d3.bin()` to generate histograms.

Nn90098@gmail.com

90% match