# We’ve come a long way

• The labs until now have covered a huge range of topics:
• We’ve learned how to make plots for different types of variables.
• We know how to subset our data to get a more refined view of our data.
• We’ve covered cleaning data and making two-way frequency tables.
• In this lab, we’re going to combine all of these ideas and topics together to find out how we spend out time.

# First steps first.

• Export, Upload, Import the class’ timeuse data from your class’ Home Page as timeuse_raw.
• The data, as-is, is very messy and hard to interpret/analyze.
• Fill in the blank with the name of your imported data to format it:
timeuse <- timeuse_format( _____ )
• This function formats/cleans the data so that each row represents a typical day for each student in the class

# timeuse_format specifics

• In case you’re wondering, the timeuse_format function:
• Takes each student’s daily data and adds up all of the time spent doing each activity for each day.
• The time spent on each activity for each day is then average together to create a typical day in the life of each student.

• Start by getting familiar with your timeuse data:
• How many observations and variables are there?
• What are the names of the variables?
• Which row represents YOUR typical day?

# How do we spend our time?

• We would like to investigate the research question: “How did our class spend our time?”
• To do this, we’ll perform a statistical investigation.
• State and answer two statistical questions based on our research question.
• Also, state one way in which your personal data is typical and one way that it differs from the rest of the class.
• Justify your answers by using appropriate statistical graphics and summary tables.
• If you subset your data, explain why and how it benefited your analysis.