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Lab 1H: Our Time

Lab 1H - Our Time

Directions: Follow along with the slides and answer the questions in bold font in your IDS Journal.

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 the IDS Homepage 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.

Exploring your data

  • 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.