Tech Visual Data

4 Reasons Content Marketers Should Think Like Designers

4 Reasons Content Marketers Should Think Like Designers.
For many brand marketers, design is an afterthought.
That’s because most (tech) brands are started by founders who likely had tech or business backgrounds, who were focused first on building and selling a product/service and attracting customers.
Building a strong brand is crucial to attract those customers, yet many people overlook how valuable design is to building a strong brand, especially in a company’s early days.
But most brands aren’t remarkable—yet.
How do designers think?
Designers care deeply about brands and brand integrity.
They understand better than others what it means to be off brand and on brand.
What to do if you have designers on your team If there are designers in your organization, get them involved in your content marketing efforts up front, and listen to them carefully.
If you want to learn more about thinking like a designer, find out how to apply good design at every level of your organization, how to create audience-first content, and how to put design first.

Facts About Mobile Casino Gambling In 2017

Facts About Mobile Casino Gambling In 2017.
Mobile casino gambling has dominated the Industry for the past decade.
In 2010 91 % of the people that play mobile casino games used desktops or laptop computers.
In 2016 PlaySlots4RealMoney.com did a study and found 74% of the people playing casino games online used a Smartphone or tablet.
What kind of Smartphone do most people play slots?
The study in 2016 shows that 64% of people playing mobile casino games used the Android phone.
22% used the Apple iPhone.
Are you wondering if your Smartphone is compatible with a mobile casino app?
The basic system requirements are two gigs of ram, MySQL database management, C ++ server and a 2.8 gigahertz processor.
Source Embed This Image On Your Site (copy code below):

Why the World Needs Data-Based Stories More Than Ever

Data can help.
The whole reason we create content is to communicate and cultivate genuine relationships with people.
When it comes to the relationship between a brand and audience, credibility is everything.
They want and need to trust you.
Data-based stories are uniquely positioned to help you foster that trust.
By crafting a strong narrative anchored by solid data, you are creating content of substance.
Data storytelling provides transparency: The very act of transparency—showing them the data, especially if it’s internal—also demonstrates that you are vulnerable and willing to let them into your world.
It builds your credibility: You have a larger audience than you realize.
It builds confidence: The better you can extract and communicate insights, the better you can make decisions.
How to Dive Into Data Stories Telling great data stories just takes a little practice.

Visualizing Climate Change

The NOAA data shows the planet was 1.9°F (1.05°C) above the 20th century average for March, the first time any month has breached the 1°C threshold in the absence of El Niño.
This March was 2.4°F (1.3°C) above the pre-industrial average by that measure.
Climate change is likely to continue the streak of warmer than normal months into the foreseeable future as temperatures keep marching upward.
This looks like a great use of the Conditional Formatting capability in Microsoft Excel.
You can get a general impression, but this is at the bottom of the Scale of Graphical Perception In a heatmap, the designer chooses the minimum and maximum values, and the data dictates all of the actual color saturations shown for each month.
So, all of the months from 1881-1910 are very close to white because these are the values that were used to calculate the midpoint The maximum temperature value is 1.9° higher than the average, and that value is shown as the fully saturated red color.
This is a choice by the designer, and makes the average temperatures in the highest months visually appear as very dramatic.
It’s up to the designer to decide if this default setting is correct for visualizing the data.
The article suggests that the trend will continue with warmer temperatures in the future, so an alternate choice the designer could make is to set the maximum color saturation to something like 10°F over the Baseline.
The choices a data visualization designer makes has a huge impact on how the data is perceived by the audience!

Must-See Visualization: The Evolution of the Game Console

Must-See Visualization: The Evolution of the Game Console.
The Evolution of the Game Console infographic from OnBuy.com remembers our childhood with a timeline of the last 18 major game consoles.
our infographic takes you through the fascinating evolution of the home games console.
Dating back to 1972 when the Magnavox Odyssey was released, our infographic will guide you through the technological advancements of the last 45 years, right up to Microsoft’s 4K-ready Project Scorpio, set to launch in December 2017.
Intrigued?
We bet!
It’s not that hard to actually line up the consoles with the correct years instead of just showing them in pairs no matter what the dates are.
Why even bother putting them into chronological order if you’re not going to line them up correctly?
Thanks to David for sending in the link!
This is post originally appeared at Cool Infographics.View original post.

What Is Interactive Video? Why Now? And How To Get started?

What Is Interactive Video?
What is interactive video?
A truely interactive video offers users a non-linear navigation experience and interactive layer of additional digital resources for users to learn more.” Interactive video is a concept that has been floated around, in many incarnations, for a very long time.
Why would a film need to be interactive?
The audience is presented with a certain content and cannot choose to go more in-depth at some point (unless they consult their smartphone, which at that point they need to be super intrigued)— nor, skip over to other points in the film, thanks to our friend linearity above.
In these use cases, different users will be interested in different aspects of the content; presenting a linear video will frustrate every single user at some point, by going too fast or too slow, presenting too much or too little detail.
This addresses the depth constraint mentioned above: the user can now choose to get more information about a particular point of the experience.
How can interactive video be done right?
And c) Going classic: for those video purists, they can still watch the passive video experience.
For marketers, this level of visual storytelling modularity provides a rich canvas to execute wide range of visual narratives where they put the viewer in the driving seat; from transforming entire e-commerce site into an interactive video experience, interactive video explainers, Interactive video tutorials on eLearning platforms, interactive product demos, interactive customer testimonials, interactive thought leadership interviews and much more.

5 Easy Ways to Find Great Stories In Your Data

Where do you get data?
In this example, you would have a “country” variable that identifies which country the data is referring to.
Do a visual inspection to make sure that the data points make sense.
Look for outliers in your data: These would be data points that don’t seem to fall into your range of expectations.
As you play around with visualizations and analyze according to relationship, you’ll start to see behavior patterns that will lead you in the right direction.
5 Types of Data Relationships There are many different data relationships, but we’re going to cover the top 5 most common.
Common chart types: Scatterplot Scatterplot with a fitted line The strength of a correlation is measured by a correlation coefficient.
Common chart types: Histogram Example: You could group clients by how much revenue they generate for your company in a year.
Ranking: This shows how two or more values compare to each other in relative magnitude.
It means you find a story that is interesting for you audience.

The Hitchhiker’s Guide to d3.js

The Hitchhiker’s Guide to d3.js.
This guide is meant to prepare you mentally as well as give you some fruitful directions to pursue.
There is a lot to learn besides the d3.js API, both technical knowledge around web standards like HTML, SVG, CSS and JavaScript as well as communication concepts and data visualization principles.
Chances are you know something about some of those things, so this guide will attempt to give you good starting points for the things you want to learn more about.
Look at that map.
I find that a big thing about learning visualization for the web is to set the right expectations.
People coming from R or with little programming experience often expect to reach Mount Bostock really fast, but in reality, very few people are up there (if anyone).
It’s not a plug-and-play situation.
The good news is that you can still accomplish a lot at sea level, and d3.js creator Mike Bostock visits the villages often.

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