- [Instructor] One of the other most frequent tasks you're going to have to do is, you're going to have to convert data from one format to another. And so for example, what you can see here is JSON, Java Script Object Notation, and this example looks pretty crazy, this is actually the GDP data that we've been looking at, and Java Script Object Notation, JSON essentially has these curly braces on either end of a data value. Sometimes is has straight braces, straight brackets also, which I'm not going to get into why that is.
It has field names, and then a colon, and then that fields' value, and each individual value is separated by a comma or each individual field rather, so I have an ID, SL, and I have a value Sierra Leone in this case. And so, long story short, it's just organized this way, it's a just a text file. There are other types of text-based data storage formats, CSV files where every value in every field is separated by a comma, TSVs every value is separated by tabs, et cetera, et cetera.
So that was essentially five different ways you may have to convert and transform your data. The five most frequent that I find myself running into, long story short, learn to embrace it, learn to accept it, because it is nearly inevitable that you'll have to make transformations of your data before you can work with it. So, learn the tools and techniques, and more than I've shown you here really will be helpful for you, but this is a good start.
- Describe the process by which individuals’ interests are incorporated into data visualizations.
- Differentiate the use of the Ws in data visualization.
- Explain techniques involved in defining your narrative when visualizing data.
- Identify the factors that make data visualizations relatable to an audience’s interests and needs.
- Review the appropriate use of charts in data visualizations.
- Define the process involved in applying interactivity to data visualizations.