RE: The big and small fishes of Augur, Civic, EOS and VeChain: A Statistical Comparison

You are viewing a single comment's thread from:

The big and small fishes of Augur, Civic, EOS and VeChain: A Statistical Comparison

in eos •  7 years ago 

Thanks for the analysis! Have you considered sharing the code used for the analysis?

Authors get paid when people like you upvote their post.
If you enjoyed what you read here, create your account today and start earning FREE STEEM!
Sort Order:  

The code is written in Matlab/Octave. It relies on data tables named according to each project, containing two columns (address and balance). We scrape this data from the Etherscan.io website using a generic crawler and parser.

cellICOs    = {'AUGUR','CIVIC','EOS','VECHAIN'};
icoClr      = {'r','m','b','g'};
figure;
for i=1:numel(cellICOs)
    ld      = load(['tbl_' cellICOs{i}]);
    tbl     = ld.tbl;
    tbl     = sortrows(tbl,2);
    tot     = sum(tbl.blnc);
    stairs(tbl.blnc/tot,cumsum(tbl.blnc)/tot,...
            ['.-' icoClr{i}],'DisplayName',cellICOs{i});
    hold on;
end
set(gca,'xscale','log');
grid on;
ylabel('Sum of wallets with \leq X')
xlabel('Individual wallet share (X)');
pbaspect([1.66 1 1])
title('Token distributions as of 04.03.2018');

@hr1 thanks for your voting.