Data Skills for Education Researchers: Glossary

Key Points

Introduction
  • First key point.

Formatting Data in Spreadsheets
  • Never modify your raw data. Always make a copy before making any changes.

  • Keep track of all of the steps you take to clean your data.

  • Organize your data according to tidy data principles.

  • Data stored in common spreadsheet formats will often not be read correctly into data analysis software, introducing errors into your data.

  • Exporting data from spreadsheets to formats like CSV or TSV puts it in a format that can be used consistently by most programs.

Introduction to R and RStudio
  • R is a programming language. RStudio is an Integrated Development Environment for working with R.

  • Tabular data is stored in R as a dataframe object.

  • You can get a sense of your data with summary(), str(), names(), dim() and other functions discussed here.

Subsetting Data in R with dplyr
  • First key point.

Visualizing Data in R with ggplot
  • First key point.

Glossary

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