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Free Webinar–Better Dashboards in Tableau 8
Video and Slides Now Available

201306-Freakalytics-Nuclear-Power-602Attend this complimentary webinar for ideas and inspiration to design informative, dynamic and captivating dashboard experiences with Tableau 8.

June 14, 2013, 9 AM Pacific, Noon Eastern, 5 PM London

In this complimentary webinar, Stephen will walk you through the steps to build one of the advanced dashboards that ships in Tableau 8. Stephen will be using the World Nuclear Power Plants example that he designed while Director of Analytics at Tableau. Stephen was inspired to create this example based on the work of Peter Aldhous at The New Scientist.

Click here for the rest of this post including webinar slides, video and example workbooks Continue reading

Freakalytics Newsletter for June 2013

Thank you for your interest in our newsletter. Please share it with your colleagues that can benefit from it.  Also, Stephen is once again full-time at Freakalytics and we are excited to be back on the road, so please let us know if we can be of service!
 
 

Freakalytics_Timeline_Since_2007_Map.pngFreakalytics Timeline

Since 2007, we have traveled 365,000 miles to help tens of thousands of people via

8 books,
24 conference talks,
47 public trainings,
26 on-site trainings,
5 conference seminars,
15 analytic advisory engagements
and 36 consulting projects.

Click here to download a summary of our accomplishments since 2007.
 
 
 
 

201306-Freakalytics-Nuclear-Power-602Free Webinar
Better Dashboards in Tableau 8

June 14th, 9 AM Pacific,
Noon Eastern, 5 PM London

Attend this complimentary webinar for ideas Continue reading

Free Webinar–Visual Analytics Best Practices
Why Can’t You See My Point?!?

201306-Freakalytics-Nuclear-Power-602

You can have brilliant ideas,
but if you can’t get them across,
your ideas won’t get you anywhere.

-Lee Iacocca

 

June 26, 2013, 8 AM Pacific, 11 AM Eastern, 4 PM London

Why do visual analytics best practices matter?

Why can’t people see your point when you present data-oriented presentations?

Whether you are using big data, small data or summarized data that has been prepared for you, this webinar will explore these vital questions. If you are concerned with getting the most from your data, this complimentary webinar is a great step in learning how to clearly communicate with people as they make better informed decisions in the hectic world of modern business.

Synopsis
Are you clearly communicating the message that you want to deliver from your data? If you’re tired of your tables and charts being “good enough”, learn some tips and tricks to help make them great! We’ll demonstrate how choosing the right table, chart and metrics to answer the question at hand and how to simplify your visuals for maximum impact. Regardless of whether you use Excel, SAS, R, PowerPoint, Qlikview, Tableau, Business Objects, Cognos, Microstrategy or most any other analytics tool for your analysis, you will benefit from this thought-provoking presentation.

Click here for the full post and to register below Continue reading

Grayscale versus Color—Visual Analytics Best Practices
and Rapid Graphs with Tableau 8

Get it right in black and white.
Maureen Stone
Leading expert on effective use of color in information visualization

 

A recent review on Amazon commented about our change in the Tableau 8 book to using grayscale images versus the prior versions using color images.  This post summarizes our thoughts on grayscale versus color usage in charts and graphs as well as the rationale for changing the book.

Thanks for taking the time to review our book. Also, thanks for highlighting the high quality and thoroughness of the content — we are passionate about helping people analyze their data, which motivated Stephen to approach Tableau in 2008 about writing the first book on the software.

While the past few versions were indeed in color, many people asked if we could lower the list price for the launch of the 8.0 edition. We also are surprised at the high price of printing in color, especially a time-sensitive book like this one about Tableau (the software updates every 14-18 months and most publishers take 4-6 months -AFTER- the author finishes to get the books to market). Unlike most publishers (large or small), our books sold in the U.S. are printed in the U.S., so we can publish relatively quickly after release. Continue reading

Exercises and videos for Rapid Graphs with Tableau 8

RGTS8_433If you are interested in buying the book, please follow this link.

There are three sample datasets used in the Tableau 8 book that are free for anyone to use, but you must be a registered user of our site to access these downloads. Registration connects us with you so we can keep in touch with you with course schedules, book updates and other topics of interest. You may unsubscribe from the e-mail list at any time by visiting our home page and clicking on the unsubscribe link. Please note that we will never share this registration information with another company.
 
 
Continue reading

Webinar–What can visual analytics & big data do for you?

What can visual analytics & big data do for you?AA v 31 front cover 2 225 300

In this 45 minute webinar, Stephen McDaniel will review visual analytic examples and demonstrate what big data analytics can do for you. Stephen will demonstrate this using Tableau 8.

Visual analytics- how is it different than traditional analytics?
Review several examples and how they empower decision-makers quickly and clearly
Build new analytic content from scratch in a matter of minutes

If time permits, a brief question and answer session will follow.

Registration is now closed.

SAS versus R for business analysts

Click to read this post

Over on R4Stats, I replied to Bob Muenchen’s article, Forecast Update: Will 2014 be the Beginning of the End for SAS and SPSS?

Personally, I think SAS is a wonderful application, with my SAS experience starting in SAS programming back in 1989 (mainframes, along with Fortran), SAS Enterprise Guide (I wrote SAS for Dummies, the first two editions with Chris Hemedinger) and SAS Enterprise Miner.  Additionally, I have used JMP, SAS Data Integration Studio, SAS Forecast Studio and several other SAS tools.

On the other hand, I have used R since 2004 on several projects and S (precursor to R) since the 90′s in biopharm. I find R truer to being a modern programming language while SAS is truer to being an analyst programming language. Perhaps I am biased? But, the way I think of attacking problems with data and my typical need to massage the data in a wide range of ways, SAS is simply superior in my opinion. The flow of the language, the ease of readability and the powerful DATA step are still my favorite programming world. However, if I am seeking most any statistical test under the sun, R is clearly superior.

Unfortunately, R doesn’t have a clear, de-facto GUI (graphical user interface) that is well-designed Continue reading

Joyful or informative charts? Best practices in visual analytics

Small_packed_bubble_chartStephen Few, noted visual analytics expert and the original inspiration for our work in the field, recently wrote about criticisms of best data visualizations practices. In particular, Amanda Cox of the New York Times said, “There’s a strand of the data viz world that argues that everything could be a bar chart. That’s possibly true but also possibly a world without joy.” And Nathan Yau of Flowing Data wrote, “in visualization you eventually learn that there’s more to the process than efficient graphical perception and avoidance of all things round. Design matters, no doubt, but your understanding of the data matters much more.” These are both people who have a body of work that I admire but I am also surprised at these comments.

This discussion reminds me of a similar problem in marketing and web analytics. Generating traffic that leads to sales is good. Eventually, someone finds a way to generate traffic that leads to not many new sales, but management is misled to think this must be good since traffic leads to sales. This is similar to “look, this chart is beautiful“, but hard to interpret or understand. So, while we delivered fun graphs, minimal information is shared. This may be good for traffic, but not so much for higher sales.

I suspect that part of this recent criticism can be traced back to Stephen’s recent criticism of Tableau, “Tableau Veers from the Path“. In it, he mentions a new graph type in Tableau, packed bubble charts and contrasts them with bar charts. This is an example of the “avoidance of all things circular”. Is Stephen truly anti-joy? Will an example show him to be wrong? Let’s give it a try and you can judge for yourself.

Here’s a packed bubble chart example Continue reading

Tableau Tips: Nested sorting not as expected- a simple fix

Many students have been confused about the Tableau data sort behavior.  A common question is how to sort the data at a lower level correctly within each higher level of data in a view.  One student recently came to us with this view and asked, “What’s up? I thought it would sort each state independently within each Product Type! In the first group, Herbal Tea, Nevada is clearly number one yet it is shown in the fourth position.”

 

Tableau_Tips_Nested_Sorting_1_Freakalytics

 

Solution

I replied that Tableau was sorting State overall across every product type once for the entire table and then displaying this sort order for every Product Type.  She said this is “stupid, how can I fix it! I wasted hours trying to fix it already.”

Login to see the solution including a solution workbook! If you haven’t joined Freakalytics yet, it’s free and easy.  Just click signup.
Continue reading

Freakalytics Timeline since 2007

Freakalytics_Timeline_Since_2007_Map

Click for the detailed timeline of Freakalytics activities


Since 2007, we have traveled 365,000 miles to help tens of thousands of people via

8 books,
24 conference talks,
47 public trainings,
26 on-site trainings,
5 conference seminars,
15 analytic advisory engagements
and 36 consulting projects.

Click to review our detailed timeline or download a summary here.