Add data top up, team reports, custom graphs (#18)

Many  many updates

GOOD_HEALTH.md

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+# What does good health look like?
+
+This is a bit of a trick question as there are so many ways good and bad can look like.
+
+These are general questions meant to help teams find useful data and promote healthy discussions around their contributions. Team context is needed to have a clear understanding of the data.
+
+
+## PRs
+*Are there any/enough comments? To few comments may be a sign that *the code is not getting fully reviewed.
+*Are all PRs are being approved? If not then how do you know they are getting properly reviewed?
+*Are there many large PRs? Generally the bigger the PR the lower the quality of the review will be.
+*How are the trends changing during a feature lifecycle?
+* What are the outliers and why?
+
+# Contribution distribution
+*Is there a healthy distribution of contributions across the team? Does not need to be even but should not be dependent on just a few people.
+*What would happen if the top one or two contributors left or went on holiday?
+*Are there enough people in team approving PRs? Only one or two people are doing this it can be a bottleneck.
+*What are the outliers and why?
+
+## Bugs
+*What happens when there is a new release?
+*Is the bug count raising? If so then why?
+
+## User trends
+*What is more discussed the "What"(PR comments) or the "How"(code comments)?
+*Is there a healthy level of giving and receiving of comments and approvals?
+*What are the outliers and why?
+