Python Descriptive Statistics Five Number Summary

hello in this Python tutorial we're going to go over few different ways that you can create summary statistics for your data sets summary or descriptive statistics including the five number summary can help you get familiar with your data and will give you information about the shape Center and spread let's go ahead and jump right in and get started with our examples the first thing we did is we imported numpy as NP and pandas as PD the next thing we did is we've gone ahead and created our data set we use numpy dot random dot seed to set seed so that our data set does not change then we use numpy random dot normal to create day set of 500 elements with standard deviation of 1 and if you would like more information about the numpy random normal we can go ahead and copy that let's add cell put that in with question mark and run it and this will give you some general information information about the parameters and some examples okay let's go ahead and run this cell and take look at our data set and you can see here we have our data set that was created using this code here you for our first example we're going to create five number summary using numpy percentile we've gone ahead and created function it will take one argument which will be your data set we've used print to just display title then we use numpy percentile we put in the data that will be the data that you pass into the function then for the second argument you put the percentiles that you want to show and we want to show the minimum and the maximum and then the 25th 50th and 75th percentiles for the interpolation we're going to use linear then we used series of prints with format and string interpolation and for each of these curly braket placeholders we're going to put the different percentiles so this would be index 0 1 2 3 4 and here we have put those indexes so once again this will show the minimum the 25th 50th 75th percentiles and the maximum in here we just call our function and you put in your data set we're going to use this data set here let's go ahead and run it and you can see we have our title with the five number summary okay for our next example we're going to go over another way to create the five number summary and you'll notice that this example is almost identical to this example and the main difference is in this case we're going to use quantile whereas here we used percenter so once again we created function it will take one argument that will be the data that you want to get the five number summary for we've created our title and here we use numpy quantile we pass in the data that will be the data you pass into your function and then here in the square brackets we put the percentiles that we want to see however notice here we use decimals whereas here we use whole numbers so for example for the 25th percentile we use 0.25 then once again we use our prints with the format the string interpolation to display our minimum 25th 50th 75th percentiles and maximum and here we call our function and we put in the data that we want to see the five number summary for let's go ahead and run it and you can see we get our output here and you'll notice that the outcome for the percentile function is identical to the outcome for our quantile function and for our last example think we've probably saved the best for last we're going to use pandas so we've gone ahead and created our function when you call the function you can pass in the data that you need to pass in we've gone ahead and created our title and to get the summary statistics for your data set all you have to do is use pandas in this case we use dot series so we can convert that data set to pandas series you put in your data dot describe then we call our function and you pass in the data set that you want to see the summary statistics for let's go ahead and run it and with the pandas described you get few more summary elements including the count the mean and the standard deviation however notice that the minimum and the maximum and the percentiles match our five number summary examples from before that's all we have for this tutorial join us again next time you