Data Visualization: Representing Information on Modern Web

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  4. What is data visualization? A definition, examples, and resources.

The Context of Data Visualization 2. Setting the Purpose and Identifying Key Factors 3. Conceiving and Reasoning Visualization Design Options 5.

Examples of data visualization in action

Taxonomy of Data Visualization Methods 6. Constructing and Evaluating Your Design Solution 2. Module 2 1. Visualizing Data 2.

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OAuth 4. JavaScript for Visualization 5. Twitter 6. Stack Overflow 7. Facebook 8. Module 3 1.

35 incredible dataviz tools

In fact, there are much better, profound, creative and absolutely fascinating ways to visualize data. Many of them might become ubiquitous in the next few years. So what can we expect? Which innovative ideas are already being used?

Quite comprehnsive. Newsmap is an application that visually reflects the constantly changing landscape of the Google News news aggregator. The size of data blocks is defined by their popularity at the moment. Digg BigSpy arranges popular stories at the top when people digg them. Bigger stories have more diggs. Digg Stack: Digg stories arrange themselves as stack as users digg them. The more diggs a story gets, the larger is the stack. You can expose patterns, trends, and correlations that may otherwise go undetected.

Data visualization can be static or interactive. Ready to feel inspired? Let's take a look at some great examples of interactive and static data visualization. When you're ready to build your own data visualization, check out our ultimate collection of marketing stats to get started. In this visualization, the folks at Setosa are showing how "bus bunching" happens, i. Telling this story in numbers alone would be pretty difficult, but instead, they turn it into an interactive game.

Then, all we have to do is watch to see how even a short delay causes the buses to bunch together after a time. This interactive by DensityDesign does an impressive job of introducing the non-linguist aka most of us to the many world languages. All 2, of them.

What is data visualization? A definition, examples, and resources

This piece allows you to explore common languages families, see which languages are most spoken, and view where languages are spoken around the world. This is great visual storytelling: taking an in-depth subject and breaking it down in an easy-to-understand way. If you want to make a GIF of your own using Photoshop, here's a step-by-step tutorial. The folks over at FiveThirtyEight do it particularly well, though.

That's over 30, ratings in total. Viewers can compare each team's Elo to see how each team performed across decades of play.

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This one is powered by Google Trends, which tracked flights as they few to, from, and across the United States on the day before Thanksgiving. The visualization starts at the very beginning of the day and plays like a movie as time goes on, showing flights moving around the country. Without showing any numbers beside the time, viewers can see which times of day are more popular for international flights, for domestic flights, and for flights to and from different hubs around the country.

Ever heard a version of the advice, "Don't simply show the data; tell a story with it"? That's exactly what this visualization from Bloomberg Business does -- and it's the interactive part that makes the story move along from beginning to end. The point of the visualization is to disprove theories that claim that natural causes explain global warming. The first thing you'll see is the observed temperature as it's risen from to present day.

The conclusion the authors want viewers to draw is made very clear. Relationships among many different groups can be difficult to understand -- especially when there are 11 of them, many of which are on the same side as groups they're normally at odds with, and vice versa. Now that's confusing. Viewers can click on any of the faces for a succinct description of the relationship.

The Future of Data Visualization on the Web - Alan Mendelevich

Here is an example of telling a deeper story by adding data.