Github-Archive Event Analysis

<p>This research project fetches event-data from githubarchives.org, filters the data to extract the information of interest, generates basic statistics and plots regarding to these statistics.</p> <p>The experiment is deployed to gain general knowledge on basic github-usage. Therefore, the following questions were followed:<br /> 1) How are GitHub-events distributed? - This can be derived by quantitative analysis of the distribution of different Event-Types.<br /> 2) What is the common ratio of commits per push, what are extremes? - again quantitative analysis of push-events is used.</p> <p>To visualize the results of this analysis, two plots are created. Each plot addresses one of the research-questions described above. Additionally, textual output is written to the terminal containing the precise numbers of the analysis and can be captured via native terminal functions.<br /> The data-files created by downloading and unzipping are just used as input for analysis and do not depict &quot;final output&quot;.</p> <p>The given results were collected/created for the default time-period: 01.01.2015 00:00 to 01:00.&nbsp;</p> <p>&nbsp;</p> <p>The python3-Scripts need python version 3 and were executed on Linux! Additional libraries are required:&nbsp;&nbsp;matplotlib for python3</p>