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when you first get started in data science youamp;#39;ll quickly learn that exploratory data analysis is absolutely critical when it comes to producing high performing models and just good analysis overall but there is a library that can help you do all of this pandas profiling letamp;#39;s take a look at how it works in order to do it you can pip pandas dash profiling into your environment and this will give you access to the specific library then we need to import pandas and pandas profiling and read in our csv from there we can create a new instance of the profile report by using profile report and passing through our data frame as well as a title which is optional then to generate the profile we can use the two notebook iframe method from our profile class the profile report allows you to take a look at different components specific to your data set including looking at distributions cardinality as well as correlation and any missing values helping you speed up that eda process a