Supplements: What works? What's popular?

Ggolisanthoshi2000@gmail.com

activity6_Task-2

This stacked bar chart displays the nutritional composition of ten common foods, breaking down proportions of fiber, protein, fat, carbs, and vitamins along a horizontal percentage axis. Hovering over any segment reveals an interactive tooltip showing the exact percentage value. The visualization uses d3.stack() to generate layered bars, with d3.scaleBand and d3.scaleLinear handling positioning, while d3.scaleOrdinal assigns distinct colors to each nutrient category. Data comes from a local CSV file, rendered as SVG elements with mouseover and mouseout events driving the tooltip behavior.

61% match

List of Data Science Resources

This interactive browser lets users explore a collaboratively curated list of data science resources, showing each resource’s topic, type, and cost status. The visualization uses a facet panel to filter and summarize the Google Sheets data, while individual records appear in a sortable list with external links and comments. Built with D3.js, the implementation reads the spreadsheet via the `gdocId` source and renders the records using the custom `recordView` function, with dynamic left-panel summaries driven by the configuration in `kshf_config.json`.

Aadilyalcin

61% match

Food Nutrition Polishing

An interactive scatter plot visualizes the nutritional content of foods from the USDA Foundation Foods dataset, plotting two selectable nutrients along the x- and y-axes with a log or linear scale. Circle size encodes a third nutrient, and optional Wikipedia thumbnails replace the circles as image patterns. The React app uses D3 scales, axes, and tooltip transitions, with dropdown menus and toggles for scale type, nutrient selection, images, and legend visibility.

61% match

Llakshmisurekhamaddukuri@my.unt.edu

group 9 bar and scatter plot

This interactive dashboard displays health metrics through four charts: a scatter plot of sleep duration versus sweet food intake colored by age group, a bar chart of average heart rate by consumer type, a pie chart showing cholesterol levels by alcohol intake, and box plots of heart rate grouped by sleep disorder and meat intake. Built with D3 v7, the charts use d3.scaleLinear, d3.scaleBand, d3.pie, and d3.quantile, with dropdown filters and tooltips. Data loads from a TSV file via d3-fetch, and all visualizations render as SVG with animations.

60% match

Food Color Categories

This interactive scatter plot, built with React and D3, visualizes the nutritional profiles of foods from the USDA FoundationFoods dataset. Users can select nutrients for the x- and y-axes, toggle between logarithmic and linear scales, and optionally map point size to a chosen nutrient. The visualization uses D3's `scaleLog` and `scaleLinear` for axes, and color-codes points by food category. Optionally, it can fetch food images from Wikipedia via a web API and use them as point patterns within the SVG.

Simple Foods

This interactive scatterplot, built with React and D3 v7, visualizes the nutritional composition of everyday foods from the USDA Foundation Foods dataset. Users can select which nutrients to plot on the x- and y-axes, adjust the point radius based on a third nutrient, and switch between linear and logarithmic scales. The visualization uses D3 scales, axes, and SVG circles, with tooltips revealing the specific food item and its nutrient values.

Week 9 Food Interaction

This interactive scatterplot visualizes nutrient compositions of foods from the USDA Foundation Foods dataset. Users can select which nutrients appear on the x- and y-axes, toggle between linear and logarithmic scales, and optionally map a third nutrient to point radius. The visualization uses D3 v7 scales and axes within a React application, with support for fetching Wikipedia thumbnail images to display as point fills. Animated transitions update the plot when selections change, and a tooltip provides detailed food descriptions and category information.

Food Images.

This interactive scatterplot maps nutritional data for over a hundred common foods, plotting nutrients like protein and carbohydrates on logarithmic or linear scales. Users can choose which nutrients appear on the x-axis, y-axis, and determine point size, with a toggle to replace colored circles with Wikipedia thumbnail images fetched via the MediaWiki API. Built with React and D3 v7, it uses `scaleLog`, `scaleLinear`, `extent`, and `axisBottom`/`axisLeft` to render axes and points, with data sourced from the USDA Foundation Foods dataset.