RStudio Keyboard Quick Reference by Freakalytics

RStudio-example-ggvis-interactive-graphs-300At Freakalytics, we frequently use R (often referred to as RStats) in our client projects and wanted to share our success using the RStudio Interactive Development Environment (IDE) with you. So, we created the RStudio® Keyboard Quick Reference by Freakalytics. It is available to you, compliments of Freakalytics, as a PDF and later in this article as a searchable data table.
 
 
The RStudio IDE was built by the team at RStudio to make you more productive in the R world. It is a free, open source application for Windows, Linux, Mac and UNIX desktop users. RStudio Desktop includes an interactive R console, a smart editor that supports direct code execution, graphing interfaces, code history, a debugger and project management for R code and related files.
 
Download the RStudio® Keyboard Quick Reference by Freakalytics. The reference card is available as a PDF download for your convenience. The PDF version is printable and usable in most e-book applications.
 
In addition the PDF version, we are pleased to share online access to the RStudio® Keyboard Quick Reference as a searchable data table (click here to access the searchable data table in a dedicated window.) This searchable data table has all the shortcuts from the PDF -and- advanced shortcuts not shown on the PDF version (which is one-page for newer users of R).

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From Business Intelligence to Visual Analytics
Craft a Winning Data Strategy

Stephen McDaniel and Eileen McDaniel, Ph.D. Freakalytics, LLC Topics: Data Analysis, Visual Analytics and Business Intelligence This was originally published in the TDWI FlashPoint Newsletter in August of 2014 Italicized sections, images and their captions were not part of the TDWI version. Until recently, visual analytics was considered a niche area. Those days are quickly … Read more

Great vs good analysts, software obsessions and informing executives

Charts and graphs to inform Are your charts and graphs actually informing people? Can I actually make a decision from your presentation? If not, why should I or the executives care? Cool software, but what about the business? It’s easier to obsess over the complex but oh so cool software features than to truly understand … Read more

PowerTrip Analytics™ 2014
Candid Quadrants™
Based on three-year visual analytics cost estimates

Detailed cost comparisons across all seven visual analytics offerings at PowerTrip Analytics™ pricing review tables. Read individual product details, highlights and examples: Microstrategy Analytics Desktop, SAP Lumira, Tibco Spotfire, Microsoft Power BI, Tableau Desktop, QlikView, and SAS Visual Analytics.

Top 5 Stories Worth Reading in Data, Data Warehousing, Analytics & BI

February 23rd, 2014
Stephen McDaniel
Chief Data Officer Advisor at Freakalytics, LLC

Finding it hard to make time to keep up with the rapidly changing world of data, data warehousing, analytics, data science, business intelligence and visual analytics? We understand! Each week, I read through hundreds of stories in this space and share the five (okay, this week I couldn't stop and chose six) most worthwhile articles with you. Each article includes a summary and link to the full story. Please note that inclusion of an article does not indicate that I agree with every point in the article, but I at least find it thought-provoking and useful for informed debate.

 

 

Recruit Better Data Analysts

In the big data talent wars, most companies feel they’re losing. Marketing leaders are finding it difficult to acquire the right analytical talent. In the latest CMO Survey, only 3.4% senior marketers believe they have the right talent. Business-to-business companies have a bigger gap than business-to-consumer companies, as do companies with a lower percentage of their sales coming from the internet.  And yet analytic skill is a must for effective marketing.

Results indicate that companies with above-average marketing analytics talent experienced significantly greater rates of marketing return on investment (MROI) than companies with below average analytics talent…

 

Big Data doesn’t lie. Or does it?

If you’ve seen any indication that humans are getting smarter and more sophisticated, please inform me, and you don’t have to read what follows. For everyone else, who sees no lack of stupidity and misinformation in both business and public life, read on about the joys big data will bring.

The insights offered by analysis of big data are only as good as the human beings that create the data, gather and assemble it, decide what questions should be asked and how the data is presented. And interpreted, especially that.

I am very concerned that big data, misapplied and misunderstood, will create big lies. Or more likely a combination of lies and truths that prove very difficult to sort out.

 

What is Data Mining?

One way businesses can turn the information into something useful is through data mining. Data mining is a process used to analyze raw information to try and find useful patterns and trends in it.

"Data mining applications help users discover correlations and connections within large data sets," Software Advice writes on its website. "These might have gone unnoticed without these algorithms."

 

Scientific dashboard with periodic table of elements
Includes history, photos, great filters, discoverers and more

There is nothing we love more than sharing great examples of what is possible with visual analytics and dashboards. It’s one of the best ways to inspire new analysts and expand people’s horizons of the nearly infinite number of ways that visual analytics tools like Tibco Spotfire can be used.

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Top News – Analysis & Commentary
Data, Data Warehousing, Analytics & BI

Five Business Intelligence Predictions
from Paxata for 2014

January 26th, 2014
Stephen McDaniel
Chief Data Officer Advisor at Freakalytics, LLC

Paxata logo blue 201401Finding it hard to make time to keep up with the rapidly changing world of data, data warehousing, analytics, data science, business intelligence and visual analytics? We understand! Here’s a top new story worth reading and that we considered noteworthy enough to add commentary and analysis by Freakalytics (in purple).  A summary of the article and excerpts that I comment on are in black.

In this commentary and analysis, we cover the growth of Tableau and QlikView, the opportunities that exist for Microsoft to disrupt the second-generation business intelligence market and how self-service data integration will likely make data scientists & data enthusiasts much more productive- enabling wide swathes of Accidental Analysts to quickly answer tactical business questions.

Five Business Intelligence Predictions For 2014 (from the CEO of Paxata)
Summary
The dust is finally beginning to clear from the big data explosion, which is a good thing. One of the problems with big data is that it’s been led by technology, not business requirements. And business requirements will be the focus in the 2014 business intelligence (BI) ecosphere—to enable enterprises to achieve results with data mining and analytics and to prove those results.

Stephen
I found this article a fascinating glimpse into the strategic thoughts of a CEO of a promising, second-generation, cloud-based data integration company- Paxata.

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Top 5 Stories Worth Reading in
Data, Data Warehousing, Analytics & BI

January 26th, 2014
Stephen McDaniel
Chief Data Officer Advisor at Freakalytics, LLC

Finding it hard to make time to keep up with the rapidly changing world of data, data warehousing, analytics, data science, business intelligence and visual analytics? We understand! Each week, I read through hundreds of stories in this space and share the five most worthwhile articles with you. Each article includes a summary and link to the full story.

 

1-Netflix-analyticsHow Netflix Got Analytics Wrong, Then Right
Two entertaining and informative articles about Netflix illustrate how to be smart about using analytics. In one instance we see where Netflix went wrong, and in another we see Netflix doing the right thing.

Netflix launched a high-profile crowdsourcing project in 2006 to develop a better recommendation engine, offering a $1 million prize to any person or team who could improve Netflix recommendations by a modest 10 percent.

 

2-BI-dashboardSigns That Your BI Dashboard Needs a Comeback

Everyone loves a good comeback. Stories about celebrities like Robert Downey Jr. and Britney Spears climbing back to the top after falling so far capture our collective imagination. Movies like Rocky and Cinderella Man – about underdogs making a comeback – inspire us to think we ourselves can rebound from any setback.

Is your business intelligence dashboard the underdog at your organization? Dashboards have been around for decades, with some companies not putting the time and effort into updating them regularly to keep pace with the innovations in BI and the growing expectations of users.

 

3-analytics-movies"Pitch Perfect" And How Analytics Are Transforming Movie Marketing

When Universal released the cult musical film Pitch Perfect in 2012, they did what any self-respecting studio would do: They commissioned marketing reports and forecasted ticket sales for the Anna Kendrick-starring movie. Among them was an analysis by a company called Fizziology which data-mines social media to see how the film would play out with audiences.

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2014 US growth forecasts of Business Intelligence vendors

There are many ways of measuring the growth of business intelligence vendors. One approach of interest in the era of self-service analytics is to measure the growth in web search volume. Derived from web search volume data from Google, the following analyses can serve as a useful reference to understand which companies/products are growing in popularity and which may be falling out of favor.

The estimates in all of the following analyses are based on simple web search volume indices from the United States through the end of November, 2013. Using historic search volume data, forecasts were built for each company/product and growth rates for 2014 were derived from these forecasts.

I would group these companies into three categories
fast growers- Tableau, PowerPivot, Qlikview, BIRST and GoodData;
the growers- Spotfire and Microstrategy,
and mature products- Oracle BI, SAS, Cognos, SPSS, SQL Server, Actuate and Business Objects.

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