Visual Summary of Large Discrete Data

In this video, I discuss the different ways of visualizing large discrete data and the differences between treating small and large discrete data. To navigate the lecture, you may use the following timecodes: 0:00 Intro 0:05 Can small discrete data be treated the same way as large discrete? 0:41 Introduction to classes/bins for interval grouping 1:28 How to identify the class structure? 2:23 Summary of the procedure for choosing the classes 3:09 Example of choosing the class structure 4:38 Organizing large discrete data into a frequency distribution table 5:32 Organizing large discrete data into a relative frequency distribution table 5:48 Organizing large discrete data into a histogram 6:01 How to construct a frequency or relative frequency distribution table for large discrete data? 6:43 How to construct a frequency or relative frequency histogram for large discrete data? 7:27 What is the difference between organizing small and large discrete data? 8:00 Outro Correction: 3:18 In step 2, 70-42=28 (not 38) so that 28/7=4 (not 5), however, 5 is still a good choice here because it is a "nicer" number than 4 in decimal system.