Raw sketches with some conventional, unconventional and original or innovative visualizations.
The first two sketches (starting from the upper left, BV 1 and BV2 ) provide similar information: it provides an idea of the number of visitors on each day. While the 2nd plot tells something about the sum of the visitors on each day , both in absolute terms as relative, the 1st plot has one additional dimension compared to the 2nd plot: it compares for each time of the day, on which day there are relatively more visitors. Also related to this is plot BV 10 (3rd plot starting from upper left) where for a selected time interval, the number of visitors are relatively compared between the days. In fact, the information in plot BV 10 is possible to extract from plot BV 1. Plot BV 7 provides similar information as plot BV 2.
Plot BV 4 takes an sample of coordinates from the whole dataset that are more or less equidistant from each other. For those sampled coordinates, the size of the dot indicates the total number of movements for that selected x,y coordinate pair. The plot can be for a single day or aggregated for all days.
Right from plot BV4 you see an advanced dotchart. The dots plotted indicate the evolution of the number of movements thorugh the day for each day seperate, but there is an additional dimension added to the plot! The vertical rectangles/bars indicate the average number of movements during day for each day (e.g. you have 12 hours each day & each hour as a number of movements, the vertical bars show the average number of movements during 1 hour during day).
BV 5 compares the use of each entrance for each day.
BV3, the figure with the bars and lines (last column of 3rd row) shows the numer of check-ins and number of movements during day for each day in one figure. The bar plots indicate a histogram with the distribution of the number of movements during day, while the yellow dotted lines added to the figure
The last figure, BV 8 (figure most below) is a correlation plot between the number of check-ins and the number of movements. It shows the number of movements increase more than linear with in increase of the number of check ins. The same conclusion we can draw from figure BV 6, which plots the ratio of the movments/check-ins for each day.