Each row considers the number of pedestrians at a certain location for a specific hour and weekday and the temperature and weather conditions. Eventhough the direction of the movement of the pedestrian is supposedly accounted for by the scanner, I have not found any information about this (neither in the data documentation nor in the dataset). Again, this seems to indicate different purposes: if one is interested in how many people pass by a shop, directions is not that relevant. If one wants to know how many people are attending a specific event, it might be relevant. Interestinly, it provides data that is of no interest to the users (interview: we are not interested in data beyond the open shop hours). The interview also indicates that more context-data is added (times of sale, Black Friday, or a specific event) to make sense of the data. How is it decided which cata need to be counted automatically and which are added "as common sense". the data obviously can only tell that and how amny pedestrians moved through the scanner, but not why and for what purpose.
