{"id":2841,"date":"2016-07-11T15:32:20","date_gmt":"2016-07-11T15:32:20","guid":{"rendered":"https:\/\/notebooks.dataone.org\/?p=2841"},"modified":"2016-07-11T15:32:20","modified_gmt":"2016-07-11T15:32:20","slug":"week-seven-evaluating-our-analysese","status":"publish","type":"post","link":"https:\/\/notebooks.dataone.org\/dataone-impact\/week-seven-evaluating-our-analysese\/","title":{"rendered":"Week Seven: Evaluating our Analysese"},"content":{"rendered":"
I’ve reviewed and edited the Literature Review from the first weeks of my project, and am currently still running some tests on the data. Or main finding right now is \u00a0that there just doesn’t seem to be\u00a0enough data usage to find any significance among the daily variance in downloads and uploads. We’re looking into a few different options to potentially account for those daily variances<\/p>\n
(1) Do a cumulative data read count \/ cumulative create count<\/p>\n
(2) Average the data over either weeks or months to\u00a0smooth out the daily variances<\/p>\n
Otherwise, we’re slowly coming to conclusions on the data, and hopefully near the end of this week I’ll begin to write up a summary of the results along with finalizing the literature review.<\/p>\n","protected":false},"excerpt":{"rendered":"
I’ve reviewed and edited the Literature Review from the first weeks of my project, and am currently still running some tests on the data. Or main finding right now is \u00a0that there just doesn’t seem to be\u00a0enough data usage to find any significance among the daily variance in downloads and Continue reading Week Seven: Evaluating our Analysese<\/span>