Warning about over-interpreting
Adjusting the class width and the starting position for the first class causes a surprising amount of variability in histogram shape for small data sets, so be very wary of over-interpreting features such as clusters or skewness.
Inventory of furniture shops
Dot plots should be used in preference to histograms for small data sets.
Because a stacked dot plot shows the size of a data set, it gives some warning about the risk of over-interpreting the distribution of a small data set.