Delegation Self-Check - Blockchain Business Intelligence

"With great power comes great responsibilities." - Uncle Ben

Last January 4 (UTC), this author received delegation from @paulag as a surprise gift from her birthday.

Inspired by @abh12345's #stewardsofgondor, this analysis serves as a self-check for this author of how he has been spending this SP.

This also aims to provide a starting point of possible reports for accounts receiving delegation should the delegator ask one.

Outline

1. Scope of Analysis
2. Votes Cast (Frequency and $ Value)
   1. By Author
   2. By Reputation
   3. By Tag
3. Conclusion
4. Tools Used

1. Scope of Analysis

• Contributions were acquired on Jan. 21, 2018 1132H UTC
• Data extracted was from 2018-01-04 2129H UTC to 2018-01-21 1119H UTC
  • Votes cast after receiving the delegation on 2018-01-04 2112H UTC
• Up-votes on comments and posts were considered

2. Votes Cast

Based on the visual above, the author has up-voted 340 posts and comments in 17 days. This amounts to an average of 20 votes per day.

The most votes was on January 5 with 36.

2.1. By Author (Frequency and Rewards)

The aim of this is to identify if the votes go to appropriate accounts.

By Frequency	By $ Value

Based on the chart above, the author has voted for 90 unique authors. In frequency, it's @arcange who got the most votes with 67 (19.7%). While in $ value it's @eastmael who got the most with $8.28 (12.4%) of the total $ 67.

Let's look into the reputation of the authors voted on.

2.2. By Reputation

This aims to identify if the votes are being spread across a wide array of reputations.

By Frequency	By $ Value

Based on both charts, the author has voted on accounts that have reputations between 31 and 73. Authors with 69 reputation got the most votes and authors with 63 reputation got the most $.

These charts are synonymous with the charts given in the previous section with the @arcange (reputation 69) being the most voted, and @eastmaels (reputation 63) getting the most $.

2.3. By Tag

This aims to extract the most supported tag this author has voted on.

By Frequency	By $ Value

Based on the charts above, this author has voted on 276 distinct tags. By frequency, the most up-voted was #steemit receiving it 127 times. #blockchainbi (a community I support) is at 6^th getting it 46 times.

The tag #utopian-io received the most $ with $26.3. #blockchainbi is at 3^rd receiving $11.6.

3. Conclusion

• 17 days
• 340 posts and comments up-voted
• 90 unique authors
• $66.7 worth of votes
• @arcange and @eastmael as the most supported authors
• reputation 63 and 69 as the most supported reputations
• #steemit and #utopian-io as the most supported tags

Those were the numbers this author put up.

I heard from one of my mentors:

When you want to go somewhere (to Cubao for example), make sure that the jeepney or bus you ride displays a signage that it is going to Cubao.

The same with the result of this analysis, it has served this author his starting point.

4. Tools Used

• SteemSQL by @arcange
• Node.js and npm to extract the data
• Power BI to generate the charts

4.1. Source Code

Codes used to extract data for this analysis are available in Github:
https://github.com/eastmaels/biutopian

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^{I am part of a Blockchain Business Intelligence community. We all post under the tag #BlockchainBI. If you have an analysis you would like carried out on Steemit or Blockchain data, please do contact me or any of the #BlockchainBI team and we will do our best to help you...}

^{You can find #blockchainbi on discord https://discordapp.com/invite/JN7Yv7j}

[Credits to the Author of Life]

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Posted on Utopian.io - Rewarding Open Source Contributors

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