Okay, before we move on to the rest of the lesson, I want to encourage you to explore more examples of explanatory visualizations and some existing tools for exploratory and confirmatory analysis. So in the realm of explanatory visualizations are many, many, many sources. Some examples that I've listed here and you can find in the course resources. The first one is New York Times, New York Times as I said before, is very popular for creating really good visualizations for journalism. Very similar case is for Washington Post. Then I linked a person, is name is Gregor Aisch and he works for New York Times and he developed a lot of really good explanatory visualizations. Another one is Nicky Case who is famous for creating something that is called Explorable Explanations and they tend to be much more interactive than the other examples. So it's a really, really good source and then there is Polygraph and Pudding.coup. These are also very, very good examples and finally ProPublica which is a news room located in New York. They also produce very good visualizations and long articles about lots of different issues. Regarding exploratory and confirmatory analysis, this typically is done with some kind of tool. So what I want to mention here, is some of the most popular tools out there that people use to do exploratory analysis. The first one is Tableau software, which is the one that I've used for the demos. And it's highly interactive and doesn't require any sort of programming in order to be used. The second one, also extremely, extremely popular, is the combination of the R statistical software together with a library that is called GG Plot 2. This requires a little bit of programming with extremely popular and not excessively difficult to use. And a similar case is for Python, and there are lots of libraries out there to visualize and manipulate data with Python. A very common Library is Matplotlib or more recently a library called Seabon. I added links to all these examples that I mentioned in the class resources and I strongly encourage you to explore them in the context of this lesson.