R-Files to analyze a csv containing data from the "Platzfinder" App at University of Munich. The data runs from 16th of December 2016 to the 31st January 2017 (and is still continously pulled from a python scraper).
Output should be a small data-journalistic piece with the following questions:
- When are the libraries the fullest?
- A GIF showing the fullness per hour
- a plot Showing a comparison between weekday and weekend on the mean of the total filling per hour (line chart)
- a plot showing the mean of the fullness over each day of the week.
- Should we throw away the Christmas holidays? (24.12.2016 00:00:00 -> 02.01.2017 00:00:00)
Bibliothek `mean(Belegt)`
<fctr> <dbl>
1 Allgemeiner Lesesaal (Zentralbibliothek) 51.911748
2 FB Biologie und Biomedizin (Lehrbuchsammlung) 27.696858
3 FB Biologie und Biomedizin (Präsenzbestand) 36.956140
4 FB Chemie und Pharmazie 29.485241
5 FB Englischer Garten 27.550278
6 FB Geowissenschaften 29.465071
7 FB Germanistik und Komparatistik 24.319213
8 FB Historicum 45.228754
9 FB Kunstwissenschaften 26.702586
10 FB Medizinische Lesehalle 63.506063
11 FB Psychologie, Pädagogik und Soziologie 43.797496
12 FB Theologie und Philosophie 56.733292
13 FB Wirtschaftswissenschaften und Statistik 7.415789###Mean of Fullness over all Bibliotheken per Hour of the day
hour `mean(Belegt)`
<int> <dbl>
1 8 9.071156
2 9 15.946690
3 10 26.850318
4 11 34.032958
5 12 43.433977
6 13 46.623397
7 14 47.804956
8 15 51.451200
9 16 50.969551
10 17 45.592444
11 18 38.365125
12 19 32.527439
13 20 22.326969
14 21 17.362301
15 22 18.268966
16 23 17.181435