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EDA or Exploratory Data Analysis is the process of understanding what data we have in our dataset before we start finding solutions to our problem. In other words -- it is the act of analyzing the data without biased assumptions in order to effectively preprocess the dataset for modeling. The main reasons we do EDA are to verify the data in the dataset, to check if the data makes sense in the context of the problem, and even sometimes just to learn about the problem we are exploring. Pandas Profiling is probably the easiest way to do EDA quickly (although there are many other alternatives such as SweetViz). The downside of using Pandas Profiling is that it can be slow to give you a very in-depth analysis, even when not needed.

In the following steps you create an AI Platform Notebooks instance. In the GCP Console, go to the AI Platform Notebook instances page. On the menu bar, click New Instance add, and then select the TensorFlow 1.x framework. It takes a few minutes for AI Platform Notebooks to create the new instance. Now that you have an AI Platform Notebooks instance, you can download the notebook file for this tutorial.