00:00 Welcome back to the second day

00:01 of the data visualization lesson

00:04 and after the first day of theory and practical examples,

00:08 it's now time to roll your own and now it's going

00:11 to be fun be because you will be experimenting

00:14 with data and give it a nice representation.

00:18 If we head over to our code challenges platform,

00:21 there are a few challenges I have in mind

00:24 that will fit this purpose.

00:26 We have a few data challenges and we're going

00:29 to show you Marvel and PyBites first here in data.

00:34 Here are some data sets you can use in these challenges.

00:39 And for example for the Marvel data,

00:41 I came up with this quick graph

00:43 of comic book characters introduced every year.

00:46 And I used Bokeh for this and that's just one example

00:49 of a graph you can make of that data.

00:52 We did a code challenge about analyzing our data

00:56 and you're free to choose if that's Twitter data

00:59 or Github or anything PyBites related

01:03 and then make a data visualization of that data.

01:08 Another challenge is Bokeh integrating its chart into Flask.

01:12 I think that's a cool challenge

01:14 because not only do you have to make the data visualization

01:18 but also you have to integrate it into a web app

01:20 which makes it much easier to share it out.

01:22 Here are some data sets you can use.

01:27 For the rest, you're just free to make a nice visualization

01:31 and don't forget to pull request your work.

01:34 So if you want to follow along

01:35 with the code challenge platform, you can fork and

01:38 clone our repo and make a branch and

01:40 all the instructions are in here.

01:41 When you're done you can open

01:43 up a pull request via our platform.

01:45 So that's that for challenges.

01:47 Now get your hands dirty and tomorrow I will check in again

01:51 with you to give you some more pointers

01:54 and see how it's going.