Week 2 - Data Storage and Operations

This week we discussed how data is stored on disk and in memory, how that interacts with our visualization process, and we introduced the notion of a palette of operations you can apply to data to visualize it.

Downloads: Data

• Building Inventory CSV file (building_inventory.csv)
• Stitch Image (stitch_reworked.png)
• Another practice image (littleCorgiInHat.png)

References

• Python:
  • IS452’s Intro to Reading & Writing CSV files (scroll down on page)
  • IS452’s Dictionary week
• Colors: RGB color triplets (we will also cover this extensively next week)

Optional Reading List (See syllabus for acronyms)

1. VAD, Ch. 2: What: Data Abstraction
2. FDV, Ch. 2: Visualizing data: Mapping data onto aesthetics
3. VAD, Ch. 13: Reduce Items and Attributes
4. FDV, Ch. 27: Understanding the most commonly used image file formats
5. IS452’s intro to CSV files (bottom of page)
6. IS452’s Intro to Dictionaries
7. Pandas Docs & NumPy Docs

Materials

• Lecture 2: (view, source, present)
• Extras, Lecture 2: (view, source, present)
• Notebook: inClass_week02: (view, download)
• Notebook: prep_notebook_week02: (view, download)
• Notebook: starter_notebook_for_option2_homework_week02: (view, download)

Materials from Previous Courses

• Notebook: spring2019_prep_notebook_week02: (view, download)