Excel supports charts, graphs, or histograms generated from specified groups of cells. These frequencies are often graphically represented in histograms. It can create density histograms and line profile plots. The descriptor then becomes a vector of all the values of these histograms. Mutual information and transfer entropy rely on the construction of histograms for probability estimates. The second step of calculation is creating the cell histograms. The descriptor is the concatenation of these histograms. However, IEEE PQDIF allows storage of data logs, magnitude-duration measurements, histograms, and more. Statistical entities, like "Queues" or "Tables" (histograms) collect statistical information of interest. In the histograms, the thickness values don't look normally distributed. Image histograms are present on many modern digital cameras. This method extracts local and global histograms to represent a certain object. An advantage of these multi-resolution histograms is their ability to capture co-occurring features. This is the idea behind "End-Biased" V-optimal Histograms. Histograms of the bootstrap distribution and the smooth bootstrap distribution appear below.