Introduction to quality assurance and quality control

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• Managing data quality supports scientific research, data releases, and communication
• Quality assurance focuses on preventing errors by taking steps during and before data are acquired or collected, while quality control evaluates data to determine whether they are correct, complete, and consistent
• Run sandpaper::check_lesson() to identify any issues with your lesson
• Run sandpaper::build_lesson() to preview your lesson locally

Episode 3 - Understanding your data

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• Use .md files for episodes when you want static content
• Use .Rmd files for episodes when you need to generate output
• Run sandpaper::check_lesson() to identify any issues with your lesson
• Run sandpaper::build_lesson() to preview your lesson locally

Data types and importing data with R

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• Use .md files for episodes when you want static content
• Use .Rmd files for episodes when you need to generate output
• Run sandpaper::check_lesson() to identify any issues with your lesson
• Run sandpaper::build_lesson() to preview your lesson locally