By far, we've investigated how Ozone changes over time and how it changes vs other measurements. We've got some findings that help us understand this dataset from a very high level. But there are much more details which still need to look into.

Also, a bunch of questions have popped out -
Why are Ozone values much higher in June and July than in May and September?
Why is the relation between Ozone and Wind negative while positive to other two?
Why are some trends are steep while others flat?
Why is the trend positive in June in Ozone vs Wind scatter plot while overall is negative?
What can we do based on the findings?
...

Those questions are leading us go beyond Data Visualization skills. We'll need to work with field experts to figure it out what we can do to make our life better which makes the whole sense why we are studying Data Science technology.

Good luck my fellow classmates!