Biodiversity, Wealth Distribution, Mandelbrot Sets and More: Wolfram Community Highlights
January 21, 2020 — Chapin Langenheim, Editor & Web Project Coordinator, Project Management
We’ve gathered some of our favorite Wolfram Community posts showing the variety of applications made possible with the Wolfram Language.
The p-value is a crucial concept in statistics—and yet, it’s also a commonly misunderstood one. People regularly misstate or misrepresent its meaning, and doing so can have devastating consequences in research and the outcomes therein. Seth Chandler, a Foundation Professor of Law at the University of Houston, clearly defines the notoriously slippery concept in his computational essay, posted to Wolfram Community in a functional cloud notebook. Want to play with Seth’s code yourself? Copy the cloud notebook to your own cloud account!
Claudio Chaib, a technical manager from São Paulo, Brazil, uses data from the Wolfram Knowledgebase to design VitaminData. This new function quickly compiles crucial information about vitamins, providing you with chemical and physical data, classification, 2D and 3D visualizations, various properties, food information and nutritional data. In this post, Claudio also ranks foods with the highest amount of different vitamins—bringing all the top-ranking candidates together would make for quite an interesting meal.
Locating borderlines between countries is easy enough with any map—but what about finding a border’s coordinates? Wolfram’s own Mads Bahrami wrote a computational essay showing all the steps needed to find the exact coordinates between any two countries.
Investigating an increase in stink bug sightings, fellow Wolfram employee Jofre Espigule-Pons uses observation data to create a GIF of its spread. His GIF showing the progressive proliferation of the brown marmorated stink bug across the United States sparked many a conversation—ranking second on Reddit’s home page, with more than 41,000 upvotes on r/dataisbeautiful, and close to 4,000 comments in 26 communities across Reddit. Keep an eye out for more in Jofre’s blog post, coming soon!
Silvia Hao, CEO at Glimscape Technology in China, shows how to implement a neural network to compute the Mandelbrot set in a tour de force of beautiful Wolfram Language graphics. Silvia creates a custom function that can more efficiently generate visualizations of Mandelbrot sets at high resolutions.
How prepared are you for your next getaway? Gather and analyze the information you need about prospective Airbnb rentals, using rental reviews and machine learning algorithms. And even if your ideal vacation is staying in, you can use the code from Anton Antonov, co-founder of Accendo Data LLC in Florida, on other machine learning datasets as well—including restaurant and product reviews.
Kotaro Okazaki, a Japanese inventor from Fujitsu Limited, creates a spectacular visualization of the Wolfram Neural Net Repository. The visually stunning, informative diagram represents the breadth, depth and diversity of models available.
Diego Zviovich uses Mathematica for both work and leisure: at his job as a supply chain director at the Coca-Cola Company, as well as for his hobbies, which include performing financial portfolio simulations. We get a glimpse of what this hobby entails in his Community post, where Diego formulates and simulates a simple economic model to explore the gap between the rich and the poor, and demonstrates the emergence of a wealth gap following a Pareto distribution.
While autumn may be associated with pumpkin picking, carving and pie-baking, Jofre Espigule-Pons demonstrates that pumpkins can be used for computational experiments all year round! Venture into pumpkin forensics by determining the appearance of the whole pumpkin from only one slice, find out a pumpkin’s nutritional value or use math to create a 3D pumpkin—all made possible with the power of the Wolfram Language.
If you haven’t yet signed up to be a member of Wolfram Community, now is the perfect time to do so! You can join in on discussions similar to the ones highlighted in this blog, post your own work in groups that cover your interests and browse the complete list of Staff Picks.