Storytelling with data from the
Author Nathan oil
A common mistake in data design is a visual layout, and then find your data processing projects. This will lead to the graphics, the lack of context, and provides little value. Visualization, teach you a data method. Explore first talking to your data, you can design the graphics, what this means.
Visualization and data designed to be easier with practice, you can improve your skills, a new data set and projects. First, however, you need a good foundation, and know what tools can give you (but you can not let them make you mess up). I write visualization, with this in mind.
You will come into contact with a variety of software and code directly into the real-world data sets, so that you can learn by doing visualization, the most important thing is to be able to use what you have learned your own data.
Data visualization steps:
1) Ask a Question
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When you get a set of data, it can sometimes be a challenge to figure out where to start, especially when it is a large data set. With a simple curiosity or to answer a question, you go to your data and go from there.
2) to explore your data
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A simple curiosity will often lead to more problems, this is a story of what mining to good guidance. What variables are related to each other it? As time goes by, you can see the change? Data stand out for what it? Find out all you can on your data, because you know what is behind the numbers, the better the story, you can tell.
3) data visualization
(Click to see large version)
Once you know the important part of your data, you can design graphics the best way you deem appropriate. The use of shape, color and size, to make sense of, and tell your story clearly to readers. Basic charts and graphs to share many of the same attributes – bars, tablets, point and line – the final design elements should be changed to your unique data set.
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