looking at the normal distribution in the preceding imagewe can talk about quartiles quartile ( and quartile ( in the middle are just the points that contain together of the dataso are on left side of the median and are on the right side of the median the median in this example happens to be near the mean for examplethe interquartile range (iqr)when we talk about distributionis the area in the middle of the distribution that contains of the values the topmost part of the image is an example of what we call box-and-whisker diagram don' concern yourself yet about the stuff out on the edges of the box that gets little bit confusingand we'll cover that later even though they are called quartile ( and quartile ( )they don' really represent of the databut don' get hung up on that yet focus on the point that the quartiles in the middle represent of the data distribution computing percentiles in python let' look at some more examples of percentiles using python and kind of get our hands on it and conceptualize this little bit more go ahead and open the fsdfoujmftjqzoc file if you' like to follow alongand again encourage you to do so because want you to play around with this little bit later let' start off by generating some randomly distributed normal dataor normally distributed random dataratherrefer to the following code blocknbuqmpumjcjomjof jnqpsuovnqzbtoq jnqpsunbuqmpumjcqzqmpubtqmu wbmt oqsboepnopsnbm qmuijtu wbmtqmutipx