Food Scatter Plot with React & D3

Fork of Food Scatter Plot with React & D3

This example plots foods from a USDA Foundation Foods dataset on a log-log scatter plot, comparing carbohydrate and protein content in grams. The React app loads the data with d3.json, then formats nutrient amounts before passing them to a reusable D3 visualization function. The viz module applies d3.scaleLog for both axes, draws axes with d3.axisBottom and d3.axisLeft, and renders food items as steelblue circles. The chart filters out non-positive nutrient values to accommodate the logarithmic scale.

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Food Project work

This example displays a scatterplot of food items from a USDA Foundation Foods dataset, comparing carbohydrate content on the x-axis against protein on the y-axis. The visualization uses logarithmic scales to accommodate the wide range of values across foods like hummus, black beans, and peanut butter. Built with React and D3 v7, the code handles data filtering and axis rendering through the `scaleLog`, `axisBottom`, and `axisLeft` APIs. Circles are positioned using the `selectAll` join pattern within the `viz.js` module, with labels and tick styling configured through attributes.

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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.

Working with food 2

This visualization displays nutrient data for various foods on a logarithmic scatter plot from the US Department of Agriculture's FoodData Central database. It plots the carbohydrate content against protein content for items like hummus and grape tomatoes. The implementation uses React with D3.js v7, employing `scaleLog`, `axisBottom`, and `axisLeft` APIs to render the axes. The `viz` function filters data points to those with positive values for the logarithmic scale, then draws circles with `join('circle')` to represent each food item.

Playing with Foood

This interactive scatterplot displays the nutritional composition of foods from the USDA’s Foundation Foods dataset. Users can independently map select nutrients to the x-axis, y-axis, and circle radius, with a toggle for logarithmic or linear scaling on both axes. Built with React and D3.js (v7), the visualization uses `scaleLog` and `scaleLinear` for axes, `axisBottom` and `axisLeft` for ticks, and `extent` to compute domains. Hovering over a circle reveals the food’s description via a tooltip.

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.

More Food

This interactive scatterplot visualizes the nutritional composition of foods from the USDA Foundation Foods dataset, letting users compare nutrient levels across three axes. Each circle represents a food item, positioned by two selectable nutrients on the x and y axes, with circle size encoding a third nutrient. Users can switch between log and linear scales via dropdown menus. The visualization uses React for state management and rendering, D3 v7’s `scaleLinear`, `scaleLog`, `axisBottom`, and `axisLeft` for scales and axes, with hover tooltips showing food descriptions.

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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.