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[nltk_data]   Unzipping corpora/stopwords.zip.

Rewards Analytics and Distribution Dashboard for Quantification Review¶

This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.

Out[6]:

Distribution report for round-1

  • This period covers praise given between 2021-11-01 and 2021-11-14.
  • We allocated a total of 49590.0 GIV tokens for rewards.
  • Duplicate praise received a weighting of 0.1 the value of the original praise.
  • We assigned 3 quantifiers per praise instance.
  • Praise receiver names were not hidden behind pseudonyms during quantification

Praise Data Visualization¶

Rating distribution¶

Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.

Top 10 highest rated contributions¶

The ten highest rated contributions for this round were the following:

Out[9]:
Avg. score To Reason
116.5 hannahjojo for hacking away on the PAN payment process to get rewards out and update the process with what we've elarned so far
96.0 freshelle#9882 for getting us paid
80.33 invocamanman for the awesome call going over the smart contracts this weekend
73.33 MoeNick#1374 for awesome development work on adminbro dashboard, onboard js fixes and project unlisted logic
67.33 🌈 🧻chair 🌈 🧻 for the awesome Giveth / Rainbow rolls marketing and for in general just doing so much to support Giveth!!
64.13 markop#2007 for the continued epic designs and systems
59.33 sem(🌸,🐝)#0161 for their work on the giveth smart contracts
57.13 🌈 🧻chair 🌈 🧻 for the great meme magic to fund public goods... raising so much money for Giveth!!!
56.67 0xJoshua Opolis RainbowRolls for the great meme magic to fund public goods... raising so much money for Giveth!!!
55.43 Ramin#4479 for coding such a crisp new Giveth.io website. AMAZING!

Praise Reward Distribution¶

We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.

Praise Giving Distribution¶

We can also take a look at the amount of praise different users gave.

Praise Flows¶

Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.

Out[13]:

Quantifier Data¶

Now let's take a closer look at the quantification process and the quantifiers:

Praise Outliers¶

To aid the revision process, we highlight disagreements between quantifiers.

Outliers sort by spreads¶

This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.

Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .

Praise score by quantifier -- outliers among the quantifiers?¶

Let's see how different quantifiers behaved by showing the range of praise scores they gave.

To interpret the box plot:

  • Bottom horizontal line of box plot is minimum value

  • First horizontal line of rectangle shape of box plot is First quartile or 25%

  • Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.

  • Third horizontal line of rectangle shape of box plot is third quartile or 75%

  • Top horizontal line of rectangle shape of box plot is maximum value.

Score displacement: tendency to under/over-scoring?¶

Scoring correlation: how similiar am I scoring with others?¶

Agreement on duplication¶

Out[22]:

Among 342 praises, 114 (33.33%) do not agree on duplication

Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.

Agreement on dismissal¶

Out[25]:

Among 342 praises, 12 (3.51%) do not agree on dismissal

Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.