Data Exploration or Exploratory Data Analysis (EDA) is an important phase in conducting a data science project. The goal of this step is to gain valuable insights through the data so that one can know what is going on with the data, which part needs to be cleaned, what new features can be built, build hypotheses to be tested during the model creation/validation phase, or even just knowing some fun facts about the data.

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