R Level 1 – Data Analytics with R

Download R Level 1 – Data Analytics with R


Sean Howe, "Marvel Comics: The Untold Story"

2012 | ISBN: 0061992100 | English | 496 pages | EPUB + MOBI | 0.75 MB + 0.95 MB

An unvarnished, unauthorized, behind-the-scenes account of one of the most dominant pop cultural forces in contemporary America.

Operating out of a tiny office on Madison Avenue in the early 1960s, a struggling company called Marvel Comics presented a cast of brightly costumed characters distinguished by smart banter and compellingly human flaws. Spider-Man, the Fantastic Four, Captain America, the Incredible Hulk, the Avengers, Iron Man, Thor, the X-Men, Daredevil—these superheroes quickly won children`s hearts and sparked the imaginations of pop artists, public intellectuals, and campus radicals. Over the course of a half century, Marvel`s epic universe would become the most elaborate fictional narrative in history and serve as a modern American mythology for millions of readers.

Throughout this decades-long journey to becoming a multibillion-dollar enterprise, Marvel`s identity has continually shifted, careening between scrappy underdog and corporate behemoth. As the company has weathered Wall Street machinations, Hollywood failures, and the collapse of the comic book market, its characters have been passed along among generations of editors, artists, and writers—also known as the celebrated Marvel "Bullpen." Entrusted to carry on tradition, Marvel`s contributors—impoverished child prodigies, hallucinating peaceniks, and mercenary careerists among them—struggled with commercial mandates, a fickle audience, and, over matters of credit and control, one another.

For the first time, Marvel Comics reveals the outsized personalities behind the scenes, including Martin Goodman, the self-made publisher who forayed into comics after a get-rich-quick tip in 1939; Stan Lee, the energetic editor who would shepherd the company through thick and thin for decades; and Jack Kirby, the World War II veteran who`d co-created Captain America in 1940 and, twenty years later, developed with Lee the bulk of the company`s marquee characters in a three-year frenzy of creativity that would be the grounds for future legal battles and endless debates.

Drawing on more than one hundred original interviews with Marvel insiders then and now, Marvel Comics is a story of fertile imaginations, lifelong friendships, action-packed fistfights, reformed criminals, unlikely alliances, and third-act betrayals—a narrative of one of the most extraordinary, beloved, and beleaguered pop cultural entities in America`s history.

R Level 1 – Data Analytics with R
MP4 | Video: 1280×720 | 61 kbps | 48 KHz | Duration: 6 Hours | 775 MB
Genre: eLearning | Language: English

Use R for Data Analytics and Data Mining

Are you new to R?

Do you want to learn more about statistical programming?

Are you in a quantitative field?

You just started learning R but you do not want to struggle with all the free but unorganized material available elsewhere?

Do you want to hack the learning curve and stay ahead of your competition?

If YES came to your mind to some of those points – read on!

This Tutorial is the first step – your Level 1 – to R mastery.

While planing this course we were using the Pareto 80/20 principle. We filtered for the most useful items in the R language which will give you a quick and efficient learning experience.

Learning R will help you conduct your projects and on the long run it is an invaluable skill which will enhance your career.

Your journey will start with the theoretical background of object and data types. You will then learn how to handle the most common types of objects in R. Much emphasis is put on loops in R since this is a crucial part of statistical programming. It is also shown how the apply family of functions can be used to do loops. According to the teaching principles of R Tutorials every section is enforced with exercises for a better learning experience. You can download the code pdf of every section to try the presented code on your own.

In the graphics section you will learn how you can create and tailor your graphs. As an example we are creating boxplots, histograms and piecharts. Since the graphs interface is quite the same for all types of graphs, this will give you a solid foundation.

This tutorial is your first step to benefit from this open source software.

Since data visualization is such an important part within data science you can also take a look at our Graphs in R course. This course gives you in depth knowledge about R plotting devices. Nowhere else on the web can you find such an extended course about this crucial topic.

If you are purchasing a combined package you will get a pm with the access code to the other course. For special offers and combinations just check out the r-tutorials webpage which you can find below my profile.
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