How People in America Spend Their Day
Posted by Armando Brito Mendes | Filed under estatística, visualização
clicar na imagem para seguir o link
Um gráfico de áreas como forma de visualizar como os americanos ocupam o seu tempo ao longo do dia.
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From Shan Carter, Amanda Cox, Kevin Quealy, and Amy Schoenfeld of The New York Times is this new interactive stacked time series on how different groups in America spend their day. The data itself comes from the American Time Use Survey. The interactive has a similar feel to Martin Wattenberg’s Baby Name Voyager, but it has the NYT pizazz that we’ve all come to know and love.
Explore time use by gender, race, age, education, and employment. View all activities (e.g. work, traveling) or select a specific action to drill down into the graph. From there, you’ll find time aggregates that you can compare against depending on what filter you’ve selected.
Tags: belo, big data, data mining, Estat Descritiva
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
Tags: b-learning, belo, desnvolvimento de software
Poverty and Race in America
Posted by Armando Brito Mendes | Filed under estatística, mapas SIG's, visualização
Uma boa representação gráfica interactiva
Strategies to tackle poverty, inequality, and neighborhood distress must be informed by local data. The history, geography, and politics of individual metro regions all matter profoundly, and any serious policy strategy must be tailored to local realities.
To help take the policy conversation from the general to the specific, we offer a new mapping tool. It lets you explore changes from 1980 to 2010 in where poor people of different races and ethnicities lived, for every metropolitan region nationwide.
Understanding how the geography of poverty has changed can provide essential context for answering questions like: Are some poor neighborhoods isolated from the region’s job opportunities? What would it take to connect them? Where should family support services be targeted? Which neighborhoods should be prioritized for improvements in essential amenities and opportunities? How can poor people across the metro landscape be better connected to the services and opportunities they seek?
For metro regions to systematically reduce poverty and expand opportunity, local civic and political leaders, advocates, and practitioners should start by sitting down together to understand the evolving realities of poverty, race, and place in their communities. We hope our maps help catalyze these conversations.
Tags: belo, data mining, image mining, mapas
A World of Terror
Posted by Armando Brito Mendes | Filed under estatística, materiais para profissionais, visualização
Uma excelente visualização de dados interativa
Exploring the reach, frequency and impact of terrorism around the world
The data used in this tool comes from the Global Terrorism Database, the most comprehensive collection of terrorism data available.
Tags: belo, Estat Descritiva
johnny cash has been every where
Posted by Armando Brito Mendes | Filed under visualização
Uma animação com todos os lugares referidos numa canção de johnny cash
A hack by Iain Mullan for Music Hack Day London 2012 using MusixMatch , Toma.HK and Johnny Cash
I’ve Been Everywhere on Covers FM
Tags: belo
What are you going to do with that degree?
Posted by Armando Brito Mendes | Filed under estatística, visualização
Boa visualização sobre o q fazem os licenciados com os seus títulos.
Jobs by college major
This is a quick Sankey visualization of how college majors relate to professions, based on data from the American Community survey. On the left are the largest college majors; to the right are the most common professions.
To see broad fields like “Sciences” and “Humanities”, see the edited version of this page.
The width of each stream shows how many people with that major are in that field. (The color shows whether that’s more or fewer people than expected based on how big the major is: hover over to see just how many more it is.) The width of each stream shows how many people with that major are in that field. (The color shows whether that’s more or fewer people than expected based on how big the major is).
You surely see that the lines are too small to understand in most cases: to actually see what’s going on with a particular field or job, click on a box and the chart will filter down to just the people who either majored in the field, or ended up employed in the job. (Click on one of the connecting lines to see both at once.)
I have not developed this that far because I am not sure how useful it ultimately is: my basic goal was a quick way to see, for example, what jobs history majors ended up in. (Largest is lawyers, but also schoolteachers; what you would expect, but worth knowing.)
You might also like my visualization of changing college degrees over time.
Tags: belo, Estat Descritiva
Wi-fi revealed
Posted by Armando Brito Mendes | Filed under Sem categoria, visualização
Mostrar o invisivel como as ondas eletromagnéticas criadas pelo wi-fi
Digital Ethereal is a project that explores wireless, making what’s typically invisible visible and tangible. In the piece above, a handheld sensor is used to detect the strength of Wi-Fi signal from a personal hotspot. A person waves the sensor around the area, and long-exposure photography captures the patterns.
Reminds me of the Immaterials project from a while back, which used a light stick to represent signal strength rather than a signal light.
Tags: belo
Site sobre visualização da GE.com
Posted by Armando Brito Mendes | Filed under estatística, visualização
Site com muitos exemplos de visualização mantido pela GE
GE Works. Building, Moving, Powering and Curing the world. In the process, our technologies are generating data on a petabyte scale. This data contains valuable information that will drive insights, innovations, and discoveries, but it can be difficult to access and digest. Using data visualization, we’re pairing science and design to simplify the complexity and drive a deeper understanding of the context in which we operate.
We encourage you to explore the projects below.
For further information about GE’s data visualization program, please contact us at datavizinfo@ge.com
To share your own visualizations, please visit www.visualizing.org
Tags: análise de dados, belo, data mining, Estat Descritiva, mapas
Humor com gráficos kindofnormal
Posted by Armando Brito Mendes | Filed under estatística, materiais ensino, materiais para profissionais, visualização
Humor com esquemas e gráficos
Alguns exemplos:
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- June 12, 2014
- 0
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- June 11, 2014
- 3.8
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- June 10, 2014
- 5.9
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- June 9, 2014
- 5
-
- June 6, 2014
- 5.5
-
Tags: belo, Estat Descritiva
Warm and cold weather anomalies
Posted by Armando Brito Mendes | Filed under visualização
Mais um exemplo de boas visualizações, agora com dados de clima
This year’s polar vortex churned up some global warming skeptics, but as we know, it’s more useful to look at trends over significant spans of time than isolated events. And, when you do look at a trend, it’s useful to have a proper baseline to compare against.
To this end, Enigma.io compared warm weather anomalies against cold weather anomalies, from 1964 to 2013. That is, they counted the number of days per year that were warmer than expected and the days it was colder than expected.
An animated map leads the post, but the meat is in the time series. There’s a clear trend towards more warm.
Since 1964, the proportion of warm and strong warm anomalies has risen from about 42% of the total to almost 67% of the total – an average increase of 0.5% per year. This trend, fitted with a generalized linear model, accounts for 40% of the year-to-year variation in warm versus cold anomalies, and is highly significant with a p-value approaching 0.0. Though we remain cautious about making predictions based on this model, it suggests that this yearly proportion of warm anomalies will regularly fall above 70% in the 2030’s.
Explore in full or download the data and analyze yourself. Nice work. [Thanks, Dan]
