Read the rest of this entry »
GigaOM’s recent article on the growth of the iPad and overall tablet-related OS market inspired me to take their forecasts one step further- actual profit estimates through 2015 per major player in the article.
My forecasts are indeed rough, but attribute higher and lower profits to the various vendors based on the nature of their product, likely price point and direct or indirect control they will have over the actual distribution of their platform. For example, Android is expected to be heavily partnered for their distribution (the upcoming Kindle is just one example), this implies lower profit per unit. Meanwhile, Apple with their early market lead and total control over the tablet sales implies higher profit per unit sold. Regardless, these are rough estimates, but fascinating to consider. Most incredible
iPad & tablet competitors profit estimates through 2015 – building on Gartner unit estimates
Examining data over time, part 1- Netflix stock price history presented 7 ways
It is fascinating how much information you can uncover with just a few years of price data in Tableau. In this example, we use just two data items to examine the history of Netflix stock price (NASDAQ NFLX.) The data items used are date and closing price, adjusted for splits.
→ 2 Comments- Add YoursWaterfall Chart in Tableau and a Superior Alternative…
The 1st workbook walks you through building a standard Waterfall chart in Tableau. Waterfall charts are intended to show you how cash balances change over time based on transactions that either add to or subtract from the cash account of a business.
As this example demonstrates, many non-standard chart types can be created in Tableau using advanced features of the product. This chart type is a frequent request of students in our public and on-site Tableau training courses.
→ 2 Comments- Add Yours
Stephen Few’s latest book, “Now you see it”
Stephen’s latest book is a brilliant interplay of simple to advanced statistical concepts with powerful visual equivalents and methods. It offers wonderful guidance with great examples around visualizing time series, correlations and multivariate analysis problems. It will have a major impact for many years to come in changing how business analysts work, think and improve their companies!
A friend of mine recently asked “… are statisticians becoming irrelevant” (hey, that’s me!) with the advent of advanced visualization tools like Tableau. I think the answer is yes and no. New tools like Tableau combined with methods expounded by Stephen will allow daily business questions to be answered rapidly. This should allow the statisticians to focus on tackling very high value problems where even a 1% improvement in the outcome is a huge win.
I have personally found that combining my work in data mining with beautiful stories about the results (created with Tableau) is truly impressive and informative for guiding decision-makers. Business decision-makers gain the advantages offered by advanced data mining algorithms such as decision trees, logistic regression and neural networks to identify primary predictive patterns and variables. The analyst can then clearly explain the results with compelling visuals to easily convey the findings and recommendations.
I think Stephen’s latest book will become the “gold” standard for data exploration books to follow. If you need the next step past “Show Me the Numbers“, this is it! BTW- it is even better than “Show Me the Numbers“, which is indeed very impressive. I plan to incorporate some of this book into my advanced Tableau course, “Data Exploration and Elegant Dashboards with Tableau”.
Cross-posted comment at Tableau Blog.
→ 1 Comment- Add Yours
Follow Freakalytics on Twitter
RSS for Freakalytics.com
