1.3. Organizing and Standardizing Data#

Learning Outcome

Students will be able to ensure the clarity, completeness, and stability of the data through the organization of that data.

Sample Tasks:

  • Combine data sets for comprehensive use and analysis.

  • Wrangle data by labeling variables and sorting, filtering, and arranging data so that it is prepared to answer a given data analytical question.

  • Scaling data using Simple Feature Scaling and Min-Max Scaling.

  • Normalizing data using Z-score normalization.

[OhioDoHEducation21]

Before organizing and standardizing data, sometimes one must clean the data, as described in Section 1.4. The process of cleaning, organizing, and standardizing is sometimes called “Data Wrangling”.