Marqueed VISUALIZING MATHS & PHYSICS ParticipateDB 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.
Max Roser – Economist Our World in Data — Visualising the Empirical Evidence on how the World is Changing 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:
30 Simple Tools For Data Visualization There have never been more technologies available to collect, examine, and render data. Here are 30 different notable pieces of data visualization software good for any designer's repertoire. They're not just powerful; they're easy to use. 1. iCharts iCharts is a platform that connects the publishers of market research, economic and industry data with professional consumers. iCharts hosts tens of thousands of charts in business, economy, sports, and other categories. iChart makes it simple for people to discover and follow the world’s latest data insights. iCharts provides cloud-based and patented charting tool that enable companies and individuals to brand, market, and share their data as chart content to millions of viewers across the web. icharts provides free accounts to the users which let you create basic interactive charts, while you can buy the premium version as well with tons of features. 2. 3. 4. 5. 6. 7. 8. 9. Springy is a force-directed graph layout algorithm. 10. 11. 13.
The 36 best tools for data visualization It's often said that data is the new world currency, and the web is the exchange bureau through which it's traded. As consumers, we're positively swimming in data; it's everywhere from labels on food packaging design to World Health Organisation reports. As a result, for the designer it's becoming increasingly difficult to present data in a way that stands out from the mass of competing data streams. Get Adobe Creative Cloud One of the best ways to get your message across is to use a visualization to quickly draw attention to the key messages, and by presenting data visually it's also possible to uncover surprising patterns and observations that wouldn't be apparent from looking at stats alone. And nowadays, there's plenty of free graphic design software to help you do just that. As author, data journalist and information designer David McCandless said in his TED talk: "By visualizing information, we turn it into a landscape that you can explore with your eyes, a sort of information map.