VISUALIZING MATHS & PHYSICS CubicWeb Semantic Web Framework Interactive Data Visualization for the Web Copyright © 2013 Scott Murray Printed in the United States of America. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles ( Nutshell Handbook, the Nutshell Handbook logo, the cover image, and the O’Reilly logo are registered trademarks of O’Reilly Media, Inc. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. While every precaution has been taken in the preparation of this book, the publisher and author assume no responsibility for errors or omissions, or for damages resulting from the use of the information contained herein.
Open Strategy Max Roser – Economist Zenefits: Free Online HR Software Our World in Data — Visualising the Empirical Evidence on how the World is Changing Reveal the Hacker Within: Build a Better Search Experience for Free with Algolia’s new Hacker Plan | Milliseconds Matter Yes, Algolia has a free version, and now it’s even better. Like many SaaS companies, we offer a version of our product that’s free to use. We want people to be able to try Algolia without feeling like they have to make a financial commitment, and we also want to make our technology available to companies just starting out who might not be able to afford any monthly subscription fee. But our free plan, otherwise known as our Hacker plan, just wasn’t cutting it. So, we decided to change it. Our new Hacker plan lets any organization sign up for Algolia and run up to 100,000 operations on 10,000 records without limiting any of the functionality such as instant search and custom ranking that you’ve come to expect from our product (we only ask for unobtrusive branding in return). And if you get to a point where the Hacker plan doesn’t meet your needs anymore, it’s really easy to upgrade to one of Algolia’s paid plans. That’s our Hacker plan in a nutshell. Get started implementing Algolia
Northwestern University Center for Interdisciplinary Exploration and Research in Astrophysics - Stellar Evolution The Formation of Nuclear Star Clusters by Fabio Antonini The three simulations correspond to different initial distributions for the cluster orbits. Most galaxies, including the Milky Way, contain massive (10^7 Solar masses) star clusters at their center. Understanding the formation of such nuclear star clusters is important as it could shed light on the processes that have shaped the central regions of galaxies and led to the formation of their central black holes. This visualization shows the (simulated) formation of a compact nuclear star cluster at the center of the dwarf starburst galaxy Henize 2-10. This galaxy is the first dwarf galaxy ever discovered to contain a central massive black hole. These clusters, the galaxy (Henize 2-10), and the central BH were realized adopting a particle by particle representation and then evolved forward in time with a GPU-based N-body code. Credit: simulations by Arca-Sedda, M., Capuzzo-Dolcetta, Antonini, F. and Seth., A. Download movie
Subtleties of Color (Part 1 of 6) : Elegant Figures : Blogs Introduction The use of color to display data is a solved problem, right? Just pick a palette from a drop-down menu (probably either a grayscale ramp or a rainbow), set start and end points, press “apply,” and you’re done. Although we all know it’s not that simple, that’s often how colors are chosen in the real world. As a result, many visualizations fail to represent the underlying data as well as they could. The purpose of data visualization—any data visualization—is to illuminate data. Encoding quantitative data with color is (sometimes literally) a simple matter of paint-by-numbers. In spatial datasets [datasets with at least two dimensions specifying position, and at least one additional dimension of quantity (a category that includes not only maps, but everything else ranging from individual atoms to cosmic background radiation)] color is probably the most effective means of accurately conveying quantity, and certainly the most widespread. In short, people aren’t computers.
VisIt About VisIt VisIt is an Open Source, interactive, scalable, visualization, animation and analysis tool. From Unix, Windows or Mac workstations, users can interactively visualize and analyze data ranging in scale from small (<101 core) desktop-sized projects to large (>105 core) leadership-class computing facility simulation campaigns. Users can quickly generate visualizations, animate them through time, manipulate them with a variety of operators and mathematical expressions, and save the resulting images and animations for presentations. VisIt contains a rich set of visualization features to enable users to view a wide variety of data including scalar and vector fields defined on two- and three-dimensional (2D and 3D) structured, adaptive and unstructured meshes. What's New VisIt is a distributed, parallel visualization and graphical analysis tool for data defined on two- and three-dimensional (2D and 3D) meshes. History For any additional questions, send e-mail to VisIt Users.
Causation vs Correlation: Visualization, Statistics, and Intuition Visualizations of correlation vs. causation and some common pitfalls and insights involving the statistics are explored in this case study involving stock price time series. By Alex Jones, Jan 2015. As someone who has a tendency to think in numbers, I love when success is quantifiable! So, I looked into how my working at Cameron relates to the company's stock price. First, I pulled Stock Price over my first ~90 Days, which aligns perfectly with Days Worked. Then simply added a rolling count of days, how convenient! Example: Neat! Super! Not so fast… let’s Regress Days Worked across Stock Price. It's important to realize that while visualization is a powerful tool and incredibly insightful way to ingest data, it's not the whole story. Blasphemy! So what do all those numbers really say? StockPrice= $75.99 -$.29672(NumberDaysAlexHasWorked) That's a heck of a deal! WRONG. Well, this is awkward... Quick, let's perform some "Transformations" to get a "Better result". Spread= Maximum - Minimum. Graphed: