I have a question on quartiles and boxplots. The specific screen I have a question on can be found in Part 6 of the Data Scientist Path. The lesson is Comparing Frequency Distributions. It is screen 9: Outliers. Here is the link: Learn data science with Python and R projects
One can see that the describe() method was called and it showed that the lower and middle quartiles are the same. 25% of the data falls under 193 and 50% of the data also falls under 193. My question is, how can this be the case? Perhaps I’m reading too much into it. But I was hoping someone could help explain it further. How can 25% of the data fall under the same number as 50% of the data? Wouldn’t it have to be different numbers?