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# System prepended metadata

title: 'Rewards Systems Research - Homework #3: Raw Data & Simple Metrics'

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# Rewards Systems Research - Homework #3: Raw Data & Simple Metrics

#### Directions
1. Copy this HackMD template & link it to Miro next to your team name
2. Delete cases & HW questions unrelated to your team
3. Complete HW questions under your case
4. Have fun!


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## Team: *team name here*



## Case 1: OceanDAO Grants
#### Data: https://github.com/andrewpenland/OceanProtocol-Rounds-Data
#### Homework questions:
Q1. Which round had the largest number of projects?
A1. Round 10 (31 projects)
Q2. Which round had the largest number of votes? 
A2. Round 10 (1002 votes)
Q3. What was the average amount of OCEAN received per project in Round 9?
A3. 20529.47059
Q4. In Round 8, what percentage of Projects proposed received some funding?
A4. 66.67%
Q5. Over all rounds, what is the average amount of OCEAN received per project?
A5. 10698

#### Reflection questions:
* Descripe the tools & process you used:

* Any challenges / difficulties (i.e. dataset issues, definitions):
There were issues with some definitions in the tables.  A list of definitions would have made the analysis easier and faster.
* Is there any raw data missing that might be interesting to analyze?

* Which datapoints do you think are relevant to measuring system health?
Number of votes, OCEAN granted, number of proposals submitted.

