Data Science for SAFS

A new undergraduate course with a focus on R - no experience required

Creative Commons License

Course Dev Info

Template

Assignment

Learning Objectives

Following this assignment students should be able to:

  • Insert objective 1
  • Insert objective 2
  • Insert objective 3

Reading

Lecture Notes

Insert Markdown and links to materials file

Exercises

  1. -- Exercise Template --

    We’re going to take a messy version of the survey data and describe how we would clean it up.

    Download the data by clicking here to get it from FigShare. Open up the data in a spreadsheet program. You can see that there are two tabs. Two field assistants conducted the surveys, one in 2013 and one in 2014, and they both kept track of the data in their own way. Now you’re the person in charge of this project and you want to be able to start analyzing the data. With the person next to you, identify what is wrong with this spreadsheet. Also discuss the steps you would need to take to clean up the 2013 and 2014 tabs, and to put them all together in one spreadsheet. Important Do not forget our first piece of advice: to create a new file (or tab) for the cleaned data, never modify your original (raw) data.

    After you go through this exercise, we’ll discuss as a group what was wrong with this data and how you would fix it.

    1. Determine the topic, title, and language from the front matter of your new or modified exercise.
    2. Name the file with the format Topic-title-Language.md in the exercises/ directory such as Templates-exercise-template-Python.md. The file must start with an UPPER case letter.
    3. Generate or repair course linkages.
      • The title may be listed in assignments/
      • An output file or set of files can be stored in solutions/ with matching Topic-title-Language format. The file retains its file extension. Multiple files are numbered such as: Templates-exercise-template-Python-1.txt, Templates-exercise-template-Python-2.jpg, …
      • Reference the exercise in a follow-up link: [Title](/course-fish497-2018/exercises/Topic-title-Language)
    4. Be sure to contribute your new exercise to the Data Carpentry Repository.

  2. -- Exercise Template --

    1. Determine the topic, title, and language from the front matter of your new or modified exercise.
    2. Name the file with the format Topic-title-Language.md in the exercises/ directory such as Templates-exercise-template-Python.md. The file must start with an UPPER case letter.
    3. Generate or repair course linkages.
      • The title may be listed in assignments/
      • An output file or set of files can be stored in solutions/ with matching Topic-title-Language format. The file retains its file extension. Multiple files are numbered such as: Templates-exercise-template-Python-1.txt, Templates-exercise-template-Python-2.jpg, …
      • Reference the exercise in a follow-up link: [Title](/course-fish497-2018/exercises/Topic-title-Language)
    4. Be sure to contribute your new exercise to the Data Carpentry Repository.
    [click here for output]

  3. -- Exercise Template --

    We’re going to take a messy version of the survey data and describe how we would clean it up.

    Download the data by clicking here to get it from FigShare. Open up the data in a spreadsheet program. You can see that there are two tabs. Two field assistants conducted the surveys, one in 2013 and one in 2014, and they both kept track of the data in their own way. Now you’re the person in charge of this project and you want to be able to start analyzing the data. With the person next to you, identify what is wrong with this spreadsheet. Also discuss the steps you would need to take to clean up the 2013 and 2014 tabs, and to put them all together in one spreadsheet. Important Do not forget our first piece of advice: to create a new file (or tab) for the cleaned data, never modify your original (raw) data.

    After you go through this exercise, we’ll discuss as a group what was wrong with this data and how you would fix it.

    1. Determine the topic, title, and language from the front matter of your new or modified exercise.
    2. Name the file with the format Topic-title-Language.md in the exercises/ directory such as Templates-exercise-template-Python.md. The file must start with an UPPER case letter.
    3. Generate or repair course linkages.
      • The title may be listed in assignments/
      • An output file or set of files can be stored in solutions/ with matching Topic-title-Language format. The file retains its file extension. Multiple files are numbered such as: Templates-exercise-template-Python-1.txt, Templates-exercise-template-Python-2.jpg, …
      • Reference the exercise in a follow-up link: [Title](/course-fish497-2018/exercises/Topic-title-Language)
    4. Be sure to contribute your new exercise to the Data Carpentry Repository.

  4. -- Exercise Template --

    1. Determine the topic, title, and language from the front matter of your new or modified exercise.
    2. Name the file with the format Topic-title-Language.md in the exercises/ directory such as Templates-exercise-template-Python.md. The file must start with an UPPER case letter.
    3. Generate or repair course linkages.
      • The title may be listed in assignments/
      • An output file or set of files can be stored in solutions/ with matching Topic-title-Language format. The file retains its file extension. Multiple files are numbered such as: Templates-exercise-template-Python-1.txt, Templates-exercise-template-Python-2.jpg, …
      • Reference the exercise in a follow-up link: [Title](/course-fish497-2018/exercises/Topic-title-Language)
    4. Be sure to contribute your new exercise to the Data Carpentry Repository.
    [click here for output]

Assignment Management

  1. Determine the title and language of your new or modified assignment.
  2. Add learning objectives.
  3. Name the file with the format: language-short-description.mdin the assignments/ directory. The file must start with a lower case letter.
  4. Generate an exercises: list of exercises/ title:.
  5. Add assignment title: to schedule.md assignments: list.