Fatal Realities of Fortress Europe Border management & externalisation Numerous deaths, especially those that remain undocumented, are a direct consequence of the repeated reinforcement of EU borders. Not content with excessive policing and militarisation of the borders, common practice is now to extend, move and redraw them as a response to migration flows.
Visual Business Intelligence We typically think of quantitative scales as linear, with equal quantities from one labeled value to the next. For example, a quantitative scale ranging from 0 to 1000 might be subdivided into equal intervals of 100 each. Linear scales seem natural to us. If we took a car trip of 1000 miles, we might imagine that distance as subdivided into ten 100 mile segments. Textures.js Textures are useful for theselective perception of different categories View on Github Getting started Cameron Hummels Cosmological Evolution A simulation following the evolution of a large representative volume of the Universe from just after the Big Bang to the present day. We're looking at the projected gas density from the side of the cube, and our view follows the reference frame of the expanding Universe over this time.
Web Scraping with Google Sheets: The Definitive Guide In this tutorial, we learn how to scrape data from web pages and display the results in Google Sheets. We start with the standard built-in Sheets functions and move on to more advanced methods using custom JavaScript functions. What is web scraping, you say? Web scraping is a technique of automatically extracting unstructured data from web pages using a computer rather than manually copying and pasting data. It is necessary when the data to extract is not available in a well-defined format such as JSON or XML. How We Use Data to Inspire Design – Design x Data – Medium By Arianna McClain & Rohini Vibha When most people imagine good design, numbers probably don’t come to mind. In fact, anything quantitative might feel completely at odds with the concept of beautiful design. But at IDEO, in addition to connecting with people and learning their stories, designers use quantitative data as a tool to gain empathy and inspiration. We learn from numbers the same way we learn from people, because we see numbers as a representation of people. In our traditional human-centered design process, we empathize by going where people live and work.
Data Visualization 101: Pie Charts In our Data Visualization 101 series, we cover each chart type to help you sharpen your data visualization skills. Pie charts are one of the oldest and most popular ways to visualize data. This classic chart is the perfect example of the power of data visualization: a simple, easy-to-understand presentation that helps readers instantly identify the parts of a whole. Without further ado, here’s everything you need to know about the pie chart. What It Is VizbiPlus - Visualising the Future of Biomedicine The VizbiPlus project aims to improve how life science is communicated by creating exemplary scientifically-accurate animations designed to inspire and educate the public about cutting-edge biomedical research. Animations Clostridium tetani & Tetanus.
The New York Times has a course to teach its reporters data skills, and now they’ve open-sourced it “Should journalists learn to code?” is an old question that has always had only unsatisfying answers. (That was true even back before it became a useful heuristic for identifying Twitter jackasses.) Some should! Some shouldn’t! Helpful, right? W. E. B. Du Bois’ Hand-Drawn Infographics of African-American Life (1900) William Edward Burghardt “W. E. B.” Du Bois — sociologist, historian, activist, Pan-Africanist, and prolific author — had also, it turns out, a mighty fine eye for graphic design.
Data Visualization Libraries Based on D3.JS - Mike McDearmon There are a lot of ways to visualize data on the Web (with more emerging every day), but the flexibility, versatility, and energized development community surrounding D3.js makes it a great option to explore. The following list of D3 plugins, extensions, and applications below is by no means comprehensive, but oughta be enough to keep you busy for a while. If you’re just getting your feet wet with D3.js, here are some great learning resources to get you acclimated:D3 for mere mortals: Great introductory lessons for those starting from scratch.Try D3 Now: Another great resource for learning about core D3 concepts.Data-Driven Documents (paper): An academic article by Mike Bostock with loads of footnotes.Learning D3, Scott Becker: A quick and effective tutorial series to get yourself up and running.Dashing D3: A very thorough tutorial series covering a LOT more than just D3.Interactive Data Visualization for the Web is a fantastic book by Scott Murray.