Directions for Assignment

You are to create a public data repository using an R Markdown document that links to and introduces three data sets. For each data set, there should be a brief 2-3 sentence description of the data and its type, a list of the variables included, a simple visualization that gives some idea of the type of data contained, and an embedded link to the data. Beyond those requirements, there are two options for the assignment.

Data Repository is due with the final dashboard on June 10th.

Basic

Use these three links below as your own to complete the tasks outlined above. Describe the data as your own. Create a Markdown document with your repository, upload it to Rpubs, and submit it to the classes Google sheet.

Links:

https://data.world/evanholm/pubpol-599/workspace/file?filename=fitbit_export_0319_steps.csv

https://data.world/evanholm/pubpol-599/workspace/file?filename=rescuetime-activity-history.csv

https://data.world/evanholm/pubpol-599/workspace/file?filename=Self_Reported_Health_Tiredness.csv

Advanced (potential 25% bonus)

Data.World, where the data linked above is hosted, is a website/community committed to open data. By creating an account you can host and share your own data, as well as benefit from the open data created by others. To receive the bonus points, you will need to create a repository with your own data that you collected during the semester on data.world. To do so, create a new project, upload your data, use the links generated by that data in your Markdown document, and add your Markdown document to the project description on data.world. Then, submit a link to the data.world page to the Google sheet for grading.

Example

The following data set contains passive data about sleep patterns collected over 31 days, from March 1, 2018 through March 31, 2018. The data was collected via a fitbit smart watch worn on the wrist. The data contains information on the start and end time of sleep, the minutes asleep and awake, number of times awake, the total time in bed, and separately the minutes of REM sleep, light sleep, and deep sleep.

Download Sleep Data

Friendly Hint

  • the package timeDate and commands such as as.Date may be useful to you in converting data that is structured as time/date pairs.
  • with the repository, do not display your code. We will grade it based on the quality of the presenation.