sravya.mundluru@gmail.com

@SravyaMundluru·4 public vizzes

Fork of Reusable Scatter plot Activity 8

This example visualizes the Iris dataset with two SVG charts: a pie chart showing species distribution and an area chart tracking petal length across sample IDs. The pie chart uses `d3.pie()` and `d3.arc()` with an ordinal color scale, while the area chart employs `d3.area()` with a monotone curve and linear scales for axes. Data is loaded asynchronously via `d3.text()` from a CSV file hosted on GitHub, then parsed and aggregated using `d3.rollups`. Both charts include custom legends, axis labels, and tooltips-style text annotations, rendered entirely with D3 v6.7.0.

Mar 27, 2025

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Fork of Fork of Hello VizHub

This example combines a pie chart and an area chart to visualize species distribution and temporal trends. The pie chart uses d3.pie and d3.arc to show the count of iris species from a CSV file loaded with d3.text, while the area chart uses d3.area with d3.scaleTime and d3.scaleLinear to display a simple time series. Both charts include legends and axes rendered via d3.axisBottom and d3.axisLeft.

Mar 27, 2025

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Fork of Reusable Scatter plot Activity 8

A scatterplot of the Iris dataset animates through combinations of its four features on the x-axis (petal width, sepal width, petal length, sepal length) against sepal length on the y-axis. Points are colored by species (setosa, versicolor, virginica). Built with D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` from a custom `scatterPlot` module, with an SVG render and `setInterval` for cycling axes.

Mar 27, 2025

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Fork of Hello VizHub

This example parses a hardcoded string literal, "Hello VizHub!", and renders it as large, centered text in a web page. It demonstrates a minimal D3.js v6 setup, using the `select` API to target a specific DOM element and set its text content. The visualization is styled through a separate CSS file, adjusting the font size and alignment. The example shows the foundational pattern of combining D3, HTML, and CSS within the VizHub platform, and it does not perform any data transformation or complex rendering.

Mar 27, 2025