Longxuan HW 03

[longxuan0908]

In this project I explore the effects of Chinese government regulatory policies after the stock market crash in 2015 using plotly. Interactivity features have been tremendously helpful in this project. Using plotly in general is a fun experience.

P.S. There is one more commit for the April 12 in class exercise that is accidentally left behind and thus included in this pull request.

[bensoltoff]

• Nice usage of native plot_ly() functions to build the plots. Gives them a clean look and enables you to do things not possible using ggplot2
• On the second plot, I'm not sure I like the annotation approach you use here. It doesn't look as clean, you have to hover over a very small point to reveal information on the policy, etc. Could you instead draw vertical lines at each decision point that when you hover over them, the policy text appears as a tooltip? This way you don't have the word "Policy" pasted all over the screen and it's a bit easier to find the actual policy information. But overall I think it's a great idea to add that information directly to the visualization