I am working on "Bike sharing demand" knowledge based competition of Kaggle. They have provided training data which has included hourly demand of Bikes for 1 to 19th of month for years 2011 and 2012 but there is missing observations. Ideally it should be 1924(12*2)=10994 records but training data set has only 10886 i.e. 58 missing observations.
Please suggest me, should I include this missing observation in modeling considering 0 demand or should not care about these missing observations as this is low number?