Rtips. Revival 2014!

Do it yourself Introduction to R R is a free statistical programming language environment. It is completely free to anyone — like the air you breath is free. For more information on why everyone should be using R, see here.
The goal of this site is to allow someone to overcome the intimidation associated with learning the very basics of R and showing them the tools for continued usage. Let’s get started. Some assumptions: This site assumes you are using a Windows operating system and have a basic understanding of file structures and paths. You will also need to have administrator privileges in order to install R. Some of the notes linked on this page are standard HTML pages; most of the links on this page are in R script file format (they have the file extension.R). Beyond that; the site and any instructions or links on it should be self-explanatory. It is STRONGLY recommended that one progress through the modules in order. A brief explanation of this page is here. UPDATE NOTE: April 23, 2015: current R version is 3.2.0 These pages have been tested for use with Firefox, other browsers may display the pages incorrectly.

Do it yourself Introduction to R

R is a free statistical programming language environment. It is completely free to anyone — like the air you breath is free.

For more information on why everyone should be using R, see here.

The goal of this site is to allow someone to overcome the intimidation associated with learning the very basics of R and showing them the tools for continued usage. Let’s get started.

Some assumptions: This site assumes you are using a Windows operating system and have a basic understanding of file structures and paths. You will also need to have administrator privileges in order to install R. Some of the notes linked on this page are standard HTML pages; most of the links on this page are in R script file format (they have the file extension.R). Beyond that; the site and any instructions or links on it should be self-explanatory. It is STRONGLY recommended that one progress through the modules in order.

A brief explanation of this page is here.

UPDATE NOTE: April 23, 2015: current R version is 3.2.0

These pages have been tested for use with Firefox, other browsers may display the pages incorrectly.

Tags: análise de dados, data mining, Estat Descritiva, R-software, software estatístico

Read more | Comments off | May 29th, 2015

Using Open Source in Higher Education: R Tutorials

Posted by Armando Brito Mendes | Filed under estatística, software

clique na imagem para seguir o link

Alguns bons tutoriais para aprender mais.

An Example of R Versatility

By Dave Collingridge

In my last blog post I mentioned a few advantages to learning R. One of those advantages is that R opens up a world of new data analyses. There are novel techniques available in R that are not found in the ANALYZE drop down menus of SPSS, Stata, and Statistica. Novel techniques in R can be a big help in situations where data are not well-suited for traditional analyses like t-tests, ANOVA, and regression.

Tags: data mining, R-software

Read more | Comments off | February 6th, 2015

Base R Version

Posted by Armando Brito Mendes | Filed under estatística, materiais ensino, software, visualização

clicar na imagem para seguir o link

Excelentes exemplos de gráficos que podem usar nos trabalhos.

One Variable: Numeric Variable

One Variable: Factor Variable

Two Variables: Two Numeric Variables

Two Variables: Two Factor Variables

Two Variables: One Factor and One Numeric

Three Variables: Three Factor Variables

Three Variables: One Numeric and Two Factor Variables

Three Variables: Two Numeric and One Factor Variables

Three Variables: Three Numeric Variables

Scatterplot Matrix of all Numeric Vars, colored by a Factor variable

Tags: Estat Descritiva, R-software, software estatístico

Read more | Comments off | January 21st, 2015

Data Visualization with JavaScript

Posted by Armando Brito Mendes | Filed under estatística, SAD - DSS, software, visualização

clique na figura para seguir o link

Um bom e-book sobre como construir visualizações com JavaScript

It’s getting hard to ignore the importance of data in our lives. Data is critical to the largest social organizations in human history. It can affect even the least consequential of our everyday decisions. And its collection has widespread geopolitical implications. Yet it also seems to be getting easier to ignore the data itself. One estimate suggests that 99.5% of the data our systems collect goes to waste. No one ever analyzes it effectively.

Data visualization is a tool that addresses this gap.

Effective visualizations clarify; they transform collections of abstract artifacts (otherwise known as numbers) into shapes and forms that viewers quickly grasp and understand. The best visualizations, in fact, impart this understanding subconsciously. Viewers comprehend the data immediately—without thinking. Such presentations free the viewer to more fully consider the implications of the data: the stories it tells, the insights it reveals, or even the warnings it offers. That, of course, defines the best kind of communication.

If you’re developing web sites or web applications today, there’s a good chance you have data to communicate, and that data may be begging for a good visualization. But how do you know what kind of visualization is appropriate? And, even more importantly, how do you actually create one? Answers to those very questions are the core of this book. In the chapters that follow, we explore dozens of different visualizations and visualization techniques and tool kits. Each example discusses the appropriateness of the visualization (and suggests possible alternatives) and provides step-by-step instructions for including the visualization in your own web pages.

To give you a better idea of what to expect from the book, here’s a quick description of what the book is, and what it is not.

Tags: belo, data mining, desnvolvimento de software

Read more | Comments off | October 28th, 2014

PlotDevice: Draw with Python

Posted by Armando Brito Mendes | Filed under estatística, materiais para profissionais, software, visualização

clicar na imagem para seguir o link

Uma biblioteca de funções em Pyton para construir visualizações de dados.

You’ve been able to visualize data with Python for a while, but Mac application PlotDevice from Christian Swinehart couples code and graphics more tightly. Write code on the right. Watch graphics change on the right.

The application gives you everything you need to start writing programs that draw to a virtual canvas. It features a text editor with syntax highlighting and tab completion plus a zoomable graphics viewer and a variety of export options.

PlotDevice’s simple but comprehensive set of graphics commands will be familiar to users of similar graphics tools like NodeBox or Processing. And if you’re new to programming, you’ll find there’s nothing better than being able to see the results of your code as you learn to think like a computer.

Looks promising. Although when I downloaded it and tried to run it, nothing happened. I’m guessing there’s still compatibility issues to iron out at version 0.9.4. Hopefully that clears up soon. [via Waxy]

Tags: big data, data mining, desnvolvimento de software, Estat Descritiva

Read more | Comments off | September 10th, 2014

What is probabilistic programming?

Posted by Armando Brito Mendes | Filed under materiais para profissionais, software

Uma nova forma de trabalhar com modelos Bayesianos!

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In this post, I introduce the emerging area of probabilistic programming, showing how probabilistic programs will hopefully make it easier to perform Bayesian-style machine learning, among other applications. Probabilistic programming is an exciting, and growing, area of research, with fantastic people in both AI/ML and PL working together and making big strides. PL methods — including formal semantics, optimization techniques, and forms of static analysis — have proven very useful in advancing this area forward.

Tags: bioinformatica, data mining, decisão médica, definição, desnvolvimento de software, qualidade

Read more | Comments off | September 9th, 2014

Why Content Marketing Fails

Posted by Armando Brito Mendes | Filed under materiais para profissionais, planeamento, software

Boa apresentação de slides para quem se interessa para criar negócios de conteúdos na web. Vejam igualmente as formas de visualização de dados usadas.

Why Content Marketing Fails Presentation Transcript

Rand Fishkin, Wizard of Moz | @randfish | rand@moz.com Why Content Marketing Fails
Download this Slide Deck bit.ly/mozcontentfail
Failure Sucks
Most Content Efforts Will Fail Spike of hope Flatline of nope
You’ll Invest with the Best of Intentions
You’ll Launch with Excitement
And it Will Suck
And You Won’t Know Why
Why Your Content Marketing Will Fail 5 Reasons
You Believed the Biggest Myth Content Marketing Ever Told the World #1
We Imagine Content Marketing Works Like This… Let’s go see what’s on the Internet today, shall we?
I wonder what this post Kieran tweeted is all about.
That was an interesting. I should sign up for this free ebook download while I’m here!
And I’ll just fill out their contact form with my information….
Oh! Better not forget to follow all their social profiles while I’m at it.
You might laugh, but a lot of companies invest in content marketing on the assumption that this is how it works! Me make content. Humans click. Them buy. Me get money.
In Reality, It Works Like This: Let’s see what’s on Hacker News… Meh.
How about Facebook? Oh, right. Baby pictures.
Let’s try Twitter. Meh.
Maybe Google+? Actually… This looks kinda interesting.
After seeing 400+ links I could have clicked, I finally chose this one. It’s a good article, and this example, naturally, resonated 
I wonder why I like this blog so much? About a week later, I caught a link to Beardbrand’s blog.
No magic trick to grow a thicker beard?! Dammit! I’d followed them on Google+, so I watched this video they shared, too.
When my lovely wife told me that I might need to look into some mustache wax, I thought of Beardbrand. But I couldn’t remember their name! Lovely Wife Imminent need for mustache wax Who were those guys that made the cool beard stuff?
So, naturally, I searched Google: Nope Nope Nope Yes!!
A Perfect Match!
Say goodbye bushy handlebars!
This is How Content Marketing Really Works: Caveman Rand explain.
This is How Content Marketing Really Works: Me Make Content. Humans click. If them like, them remember. Maybe them see more content I make. Visit again. Me build trust, relationship with humans. When them need me product, them come back.
Content marketing not about convert 1st visit. Or 2nd. Or 3rd. Only foolish humans think it work like this.
Content marketing about earning familiarity, trust, and relationship.
Maybe sale come. Maybe not. Smart cave marketer no care. Smart cave marketer know every visit chance to build relationship. Maybe earn fan. That good enough.
The Obligation Rests on Marketers to Set the Right Expectations with Our Teams & Clients
You Made Content Without a Community #2
Does Content Spread Simply Because It’s Really, Really Good? If this content’s really good, it’ll just spread “virally,” right guys?
OK, Probably Not Ha! That’s a good one, Rand!
In My Experience, Content Spreads Because It Inspires a Community
It Reinforces a Belief
Refutes an Opposing Argument
Starts (or Renews) a Passionate Discussion
Is in Someone’s Financial/Promotional Interests
Leverages Group Inclusion Dynamics
Makes the Sharer Look Smart/Important/Worldly/Etc
“Good Enough” Content Often Performs Well when a Community Is Behind It
Only the Best 0.1% of Content Can Go “Viral” without a Pre-existing Community
Don’t Bet Your Marketing on Being the 1 in 1,000
Before you create content, ask the question: “Who will support & amplify this content and why?”
You Invested in Content Creation, But Not in its Amplification #3
Content Must Reach People in Order to Reach Its Potential
Channels for Reaching the Right People Depend on Your Audience
Most Amplification Methods Fall Into These Three Buckets: Broadcast 1:1 Paid Promotion
1) Broadcast (often via Social Media, Email, or through Events)
2) 1:1 Outreach (via Social, Email, or In- Person)
3) Paid Amplification (many varieties)
A basic process for getting content amplification right:
STEP 1: Find Successful Content in Your Niche http://buzzsumo.com
STEP 2(a): Find Where It’s Being Shared http://buzzsumo.com
STEP 2(b): Go Beyond Social Networks Google Search and https://freshwebexplorer.moz.com/
STEP 2(c): Find Who’s Doing the Sharing http://buzzsumo.com
STEP 2(c): Find Who’s Doing the Sharing http://www.blindfiveyearold.com/ripples-bookmarklet
STEP 3: Copy What’s Working For Them Via http://followerwonk.com
STEP 4: Build Relationships with Those Who Can Help http://www.slideshare.net/RickTRamos1/why-do-peopleshareonline
Don’t Treat Amplification as “Fire & Forget.” Experiment, Learn, & Apply. Via http://bit.ly
Think of Each Channel Like a Muscle to Be Flexed & Strengthened Regularly
Don’t Forget to Leverage What is Still the Most Powerful Sharing Channel (according to NYT): http://www.slideshare.net/RickTRamos1/why-do-peopleshareonline
You Ignored Content’s Most Powerful Channel: SEO #4
Google Search Has Grown Massively ~6 Billion Searches/Day! http://www.statisticbrain.com/google-searches/
While Search Traffic is Distributed, Social is Highly Concentrated http://www.simplereach.com/blog/facebook-continues-to-be-the-biggest-driver-of-social-traffic/
You Might Have Seen Re/Code & Buzzfeed Claiming Google Search Traffic Was Dead http://recode.net/2014/02/02/the-year-facebook-blew-past-google/
Here’s Define Media Group refuting that with data from 87 publishers & 48 billion pageviews http://www.definemg.com/hey-buzzfeed-search-traffic-is-doing-just-fine/
SEO is Also Critical Because of Intent “Do things” mode “Browse” mode
When Done Right, Content Marketing is the Rising Tide that Lifts the SEO Ships Without content marketing, it’s incredibly hard to earn the types of links that will confer domain authority & rankings in search engines.
When Done Right, Content Marketing is the Rising Tide that Lifts the SEO Ships But as content on a site earns links, it helps every other page on that domain rank better in the search engines, lifting the tide!
At the Very Least, Do Your Keyword Research Be aware that AdWords may not show you all the relevant keywords: http://moz.com/blog/be-careful-using-adwords-for-keyword-research
Better Yet – Gain a Deep Understanding of How SEO & Content Work Together 4 Posts I’d Recommend: • The Convergence of SEO & Content Marketing • Link Building vs. Content Marketing • How to Build a Content Marketing Strategy • Build & Operate a Content Marketing Machine
You Gave Up Way Too Soon #5
The 0.1% Always Look Like Overnight Successes
In Reality, It Looks More Like This: Geraldine’s Travel Blog: http://everywhereist.com
Geraldine started her blog in 2009 In Reality, It Looks More Like This:
For 2 years, she never broke 100 visits/day. In Reality, It Looks More Like This:
Then she had a few posts get some attention In Reality, It Looks More Like This:
But traffic fell back down soon after. In Reality, It Looks More Like This:
This is where most people give up. In Reality, It Looks More Like This:
These days, she gets 100,000+ visits each month In Reality, It Looks More Like This:
The Price of Success is Failure after Failure after Failure * Hopefully, each of those failures provides an opportunity to learn. *
Why Content Marketing Fails Rand Fishkin, Wizard of Moz | @randfish | rand@moz.com bit.ly/mozcontentfail