Lower and Middle Quartiles Can be the same?

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?

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Corrected Link: Learn data science with Python and R projects

Hey @mannyrivero33,

Basically this means that a lot of the lower values in the data are 193.

Let’s imagine the list of heights looks like this:

193
193
193
193
195
196
198
200

The first quarter of the data would be this:

193
193

And so the first quartile would be 193.

The second quarter of the data would look the same:

193
193

So the second quartile would also be 193.

Hope this helps! Let me know if you have another question.

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