Analyzing The Hackaday Prize 2015 Hackaday Io

Analyzing The Hackaday Prize 2015 Hackaday Io I've got some bash magic here to help you examine the hackaday prize 2015 entries, thanks to @alpha ninja dumping all of the data as of 8 17 2015 into github. yes, there are faster ways to do these things but it's 2015 and these commands are fast enough for our purposes:. Over the last two days, we created a list of all of the projects tagged with the correct tags for the 2015 hackaday prize or best product *. you can find our spreadsheet here:.

Analyzing The Hackaday Prize 2015 Hackaday Io Analyzing the hackaday prize 2015 gallery created by alpha ninja •05 30 2015 at 17:33. Let's look at how many projects received prizes! that total entrants number is the amount of projects with the tag 2015hackadayprize, not those in the official list thing (which has 379 at the time of writing) in conclusion: about 38% of hackaday prize projects got any amount of prizes. Top 100 projects and authors, by skulls, followers, views or comments. raw data available in the initial project, statistics for 2015 hackaday prize entries. These are both amazing and worthy projects, but the real story of the hackaday prize isn’t about the prizes: it’s about nine months during which talented people worked toward a common good. if.

Analyzing The Hackaday Prize 2015 Hackaday Io Top 100 projects and authors, by skulls, followers, views or comments. raw data available in the initial project, statistics for 2015 hackaday prize entries. These are both amazing and worthy projects, but the real story of the hackaday prize isn’t about the prizes: it’s about nine months during which talented people worked toward a common good. if. Entries for the 2015 hackaday prize — the nine month design contest that challenges you to build something that matters — closed one week ago today. A few formulas later, a table with all listed projects (in random order) comes out, together with their authors, and numbers for skulls, followers, comments and views. from here, data can be sorted, counted, filtered, grouped, or put in pivot tables and pivot charts for further analysis. Our five rounds of hackaday prize 2018 challenges have just wrapped up, and we’re looking forward to see where the chips fall in the final ranking. while we’re waiting for the winners to be. In what is probably the most capable measurement system in the running for this year’s hackaday prize, [jithin] is working on a python powered scientific instrumentation tool.