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Introduction to Data Analysis Lesson 5 Data Analysis Process - Case Study 2: Assessing Data

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Assessing Data

The files all_alpha_08.csv and all_alpha_18.csv discussed in the previous pages have been provided in the workspace for you here to access. Use pandas to explore these datasets in the Jupyter Notebook below to answer the quiz questions below the notebook about these characteristics of the data:

  • number of samples in each dataset
  • number of columns in each dataset
  • duplicate rows in each dataset
  • datatypes of columns
  • features with missing values
  • number of non-null unique values for features in each dataset
  • what those unique values are and counts for each

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Learn to clean up messy data, uncover patterns and insights, make predictions using machine learning, and clearly communicate your findings.