cm003 - January 11, 2017

Overview

  • Identify computer programming as a form of problem solving
  • Practice decomposing an analytical goal into a set of discrete, computational tasks
  • Identify the verbs for a language of data manipulation
  • Clarify confusing aspects of data transformation from R for Data Science
  • Define exploratory data analysis (EDA) and types of pattern exploration
  • Demonstrate types of graphs useful for EDA and precautions when interpreting them
  • Practice transforming and exploring data using Department of Education College Scorecard data

To do for Wednesday

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