How to create a visualization Over the last few years I’ve created a few popular visualizations, a lot of duds, and I’ve learned a few lessons along the way. For my latest analysis of where Facebook users go on vacation, I decided to document the steps I follow to build my visualizations . It’s a very rough guide, these are just stages I’ve learned to follow by trial and error, but following these guidelines is a good way to start if you’re looking to create your first visualization. Play with your data I was lucky enough to spend a few hours with Andreas Weigend recently, head of the Stanford Social Data lab. He has nine rules of data, and the first is “Start with the problem, not the data.” In my case, we have a Cassandra cluster with information on more than 350 million photos shared on Facebook. Click to enlarge. I was chatting with my colleague Chris Raynor about this, and he asked me if we could tell where all the visitors to those places were coming from. Pick a question Sketch out your presentation Related:
Why Entrepreneurial Thinking Is For Everyone Now “We need a new playbook,” says entrepreneur and author Ben Casnocha. “The world has changed. The world of work has changed. Many of the assumptions that have guided how we think about careers in America are no longer true.” The Start-Up of You, written by Casnocha and LinkedIn co-founder Reid Hoffman, is that playbook. What role does passion play in a good career plan — if any? Definitely plays a role. Do you think there’s something new about “entrepreneurial thinking”? All humans were born with entrepreneurial instincts. What do you think is the No.1 misconception of people heading into a new career or looking to make a job transition? That if you simply work hard, good things will happen. How important is being comfortable with uncertainty? Anything worth doing is going to have degrees of uncertainty associated with it. I recently read a great quote from Steve Pavlina: ”If you struggle financially, upgrade your social skills. Absolutely. Gosh, hard question!
International Statistical Literacy Project home The International Statistical Literacy Project (ISLP) is a project initiated by the International Association for Statistical Education➶ (IASE), which is the education section of the International Statistical Institute➶ (ISI). The main objective of the ISLP is to contribute to promoting statistical literacy across the world, among young and adults, in all walks of life. To this end, we provide an online repository of international resources and news in Statistical Literacy, international activities to promote the resources and the individuals and institutions behind them, and outreach activities to increase awareness. Contact the IASE Executive➶ or the ISLP Director Reija Helenius➶ by e-mail if you have any questions. New Country Coordinator in Finland - Welcome to the ISLP team Jaana Kesti!
Visualization series: Insight from Cleveland and Tufte on plotting numeric data by groups | Solomon Messing After my post on making dotplots with concise code using plyr and ggplot, I got an email from my dad who practices immigration law and runs a website with a variety of immigration resources and tools. He pointed out that the post was written for folks who already know that they want to make dot plots, and who already know about bootstrapped standard errors. That’s not many people. In an attempt to appeal to a broader audience, I’m starting a series in which I’ll outline the key principles I use when developing a visualization. In this post, I’ll articulate these principles, which combine some of Tuft’s aesthetic guidelines with Cleveland’s scientific approach to visualization, which is based on the psychological processes involved in making sense of visualizations, and has been rigorously tested via randomized controlled experiments. Based on these principles, I’ll argue that dotplots and scatterplots are better than other types of plots (especially pie charts) in most situations.
101 Simple Truths We Often Forget post written by: Marc Chernoff Email It‘s not where we stand but in what direction we are moving. Sometimes we find ourselves running in place, struggling to get ahead simply because we forget to address some of the simple truths that govern our potential to make progress. The acquisition of knowledge doesn’t mean you’re growing. Photo by: Alexander Steinhof If you enjoyed this article, check out our new best-selling book. And get inspiring life tips and quotes in your inbox (it's free)... Statistical Graphics vs. InfoVis The current issue of the Statistical Computing and Graphics Newsletter features two invited articles, which both look at the “graphical display of quantitative data” – one from the perspective of statistical graphics, and one from the perspective of information visualization. Robert Kosara writes from an InfoVis view: Visualization: It’s More than Pictures! Information visualization is a field that has had trouble defining its boundaries, and that consequently is often misunderstood. The key to understanding InfoVis is to ignore the images for a moment and focus on the part that is often lost: interaction. … read on in the Newsletter. Andrew Gelman and Antony Unwin write from an statistical graphics view: Visualization, Graphics, and Statistics Quantitative graphics, like statistics itself, is a young and immature field. Outside of statistics, though, infographics and data visualization are more important.
Report Builder 3.0 – Chart Types, Visualizations, and Properties Report Builder 3.0 – Chart Types, Visualizations, and Properties by Jes Borland on March 8, 2012 in category Database Programming Microsoft SQL Server SSRS. Article views: 5,238 Instapaper This is part four of a series about Report Builder 3.0. Charts and other visualizations can be a very powerful and effective way to make your data tell a story. There are many types of charts and other visualizations, and many settings for them. Types of Charts There are eight categories of charts in Report Builder: Column Line Shape Bar Area Range Scatter Polar Column charts will show the data as a series of vertical bars. Stacked Column Line charts show a series of data as a set of points, connected by a line. Line Shapes included are Pie, Doughnut, Funnel, and Pyramid. 3D Funnel Bar charts show the data as horizontal bars. 3D Stacked Horizontal Cylinder Area charts show your data as a series of points, with the space below filled in. Stacked Area Range (Image courtesy of Microsoft TechNet) Data Bar Sparkline
What Is Passive Income? I want to kick off this passive income series by clarifying what I mean by passive income. I prefer to define passive income fairly broadly as revenue you earn even when you aren’t actively working. Another name for passive income is residual income. By contrast active income is money that stops coming to you when you stop working. If you get paid a salary and you quit your job or get laid off, most likely you’ll stop getting paid. You may get a severance package to help you transition, but your boss won’t keep paying your salary unless you keep showing up for work. Similarly, if you do contract work for clients who pay you, and if you’ll stop getting paid if you stop doing this work, that’s also active income. With passive income, you would keep getting paid whether or not you do any meaningful work. Passive income doesn’t mean one-time lump sum payments such as an inheritance or the sale of an asset like your home or some stock you own. Passive income doesn’t mean permanent income.
Rulers Creating your own data visualisations | Louise Brown At the NCVO Annual Conference on Monday I went to the workshop on visualising data. Now, I love data and I love visualisations so I was pretty much like a pig in the stinky stuff. The workshop was run by Ed and Matt from Reason Digital. Visualisations are essentially a way to show (often complex) information using graphics. Whether you have to write reports full of facts and figures or you need to demonstrate the impact of your work to the public then creating a graphical representation of the information might be an effective way of doing it. I have to say that I don’t agree with visualisations for visualisation’s sake. In general there are two types of data visulations. The second type are visualisations that use graphics to illustrate a figure, such as on this poster about Mashable users: In the workshop it was also suggested that an infographic (such as the first example) is telling a specific story and leading you to a conclusion. Have you tried creating visualisations? Like this:
34 Writing Tips That Will Make You a Better Writer James Chartrand – Web Content Writer Tips Nice collection of tips! Some I agree with, some I don’t, but I think what is important to remember is that each one of us has unique tips and tricks to offer for better writing.Two tips: Online content writing demands concise business writing. Forget the flowery prose; web content needs more succinct language. About us Role The National Audit Office (NAO) scrutinises public spending on behalf of Parliament. Our audit of central government has two main aims. By reporting the results of our audits to Parliament, we hold government departments and bodies to account for the way they use public money, thereby safeguarding the interests of taxpayers. In addition, our work aims to help public service managers improve performance and service delivery. The Audit and inspection rights are vested in the head of the National Audit Office, the Comptroller and Auditor General (C&AG). Independence The Comptroller and Auditor General, Amyas Morse, is an Officer of the House of Commons. Strategic Priorities Our work reveals recurring issues across different government departments and bodies, including three general areas where we have found that improvement is frequently needed. Other bodies For UK Statistics - see the: Office for National Statistics For Local Government spending – see the: Audit Commission