ICE7-Reusable D3 Scatter Plot

ICE-7 reusable scatter plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal width to the x-axis and sepal length to the y-axis while encoding species through symbol shapes and colors (grey, coral, and aqua). The chart uses reusable D3.js components, including scaleLinear, scaleOrdinal, axisLeft, axisBottom, and the symbol generator, to render SVG marks. Data is loaded via d3.csv and parsed into numeric values before being passed to the customizable scatterPlot function.

CChathurya

ICE-7 Resuable scatterplot

This reusable scatter plot visualizes the Iris dataset, mapping petal width against sepal length and encoding species with distinct D3 symbol shapes (circles, crosses, and diamonds). Built with the reusable chart pattern, the `scatterPlot()` function configures scales, axes, and symbol generators via chained accessor methods. The visualization renders as animated SVG, with axes created using `axisLeft` and `axisBottom`, while `scaleOrdinal` and `symbol` map categorical data to geometric marks. Data loads asynchronously via `d3.csv` and updates smoothly through D3’s data join.

SShridhar Kshirsagar

ICE 7 Reusable D3 Scatter Plot

This reusable scatter plot, built with D3.js, visualizes the Iris dataset, mapping petal width to the x-axis and sepal length to the y-axis while encoding species with different symbols. The chart updates every 15 seconds, cycling through the four numeric columns for the x-axis. It uses a modular `scatterPlot` function with D3 scales, ordinal symbols, and axes, rendered as SVG, based on the "Towards Reusable Charts" pattern.

Mmanvithareddykarra

ICE-7 Reusable scatter

This reusable D3 scatter plot visualizes the Iris dataset, mapping petal width against sepal length with distinct symbol shapes for each species. Built with d3.scaleLinear, d3.scaleOrdinal, and d3.symbol, it encodes species categories through different symbol types. The chart renders as an SVG, filling the viewport, and includes axis labels via d3.axisLeft and d3.axisBottom. The implementation uses a custom scatterPlot function called with a fluent interface to set dimensions, margins, data accessors, and symbol size.

SShridhar Kshirsagar

ICE7 - Reusable Scatter Plot

This example presents a reusable scatter plot visualizing the Iris Dataset, with data points colored by species. Built with D3.js v6, the plot cycles through different attribute pairs on the x-axis, including petal width, sepal width, petal length, and sepal length, updating the axes and circles each second. It uses `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to construct the chart, along with SVG elements for rendering and a fixed legend for species identification. The implementation follows a reusable chart pattern, allowing dynamic configuration of dimensions, margins, and value accessors.

Ssuchitra2602

ICE-7 - Reusable scatter plot with different symbol

This scatter plot visualizes the Iris dataset, mapping petal width against sepal length and encoding species with different D3 symbols and colors. Built as a reusable D3 component, it uses `scaleLinear`, `scaleOrdinal`, `symbol`, and `axisLeft`/`axisBottom` to render points, axes, and margins dynamically. The SVG output updates based on window size, with data loaded via `csv` and parsed before rendering.

Aav.dj.2000@gmail.com

ICE-7 Fork of Reusable Scatter Plot

This example visualizes the Iris Dataset as an interactive scatter plot, mapping petal width to the x-axis and sepal length to the y-axis. It uses three distinct D3 symbol shapes to differentiate iris species, rendering each data point as an SVG path element. The implementation leverages reusable D3 modules including `scaleLinear`, `scaleOrdinal`, `axisBottom`, `axisLeft`, `symbols`, and `symbol`, with data loaded asynchronously via `csv`. The chart fills the entire browser window, with axes labeled and styled through CSS.

IIndhuKrishnaraj

ICE 7 reusable scatter plot

This interactive scatter plot visualizes the Iris dataset, mapping petal width against sepal length and distinguishing species through colored symbols. Built with D3 v6, it uses reusable chart components via `scatterPlot()`, employing `scaleLinear` and `scaleOrdinal` for axes and color mapping. The SVG rendering includes axis labels and a legend-free design, with data loaded asynchronously from a CSV URL. The chart adapts to the viewport size, demonstrating a modular approach to building customizable visualizations with D3's selection and join methods.

Kkakumanusreya