Readings

• Read the syllabus
• Review the schedule
• Read the assignments overview
• Skim the introduction of R for Data Science (2e)
• Read chapter 28: Quarto of R for Data Science (2e)
• Skim chapter 1, through section 1.2 of Data Visualization

Guiding questions

• What is this course all about? I wonder if that’s on the syllabus…
• What is R? I bet that’s on the syllabus…
• Can I succeed in this course? (yes! according to the syllabus…)
• Wait, should I read the syllabus? (here’s a hint)
• Why do we visualize data?
• What makes a great visualization?

Teaser data

Click the links to download the following files and then follow the instructions from the slides: - Weather stations in NY - Weather in NY in 2024 - Weather in NY in 2025

Depending on your browser you may need File > Save As... to download the files in their source format (.csv).

Slides

The slides for today’s lesson are available online as an HTML file. Use the buttons below to open the slides either as an interactive website or as a static PDF (for printing or storing for later).

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Fun fact: If you type ? (or shift + /) while going through the slides, you can see a list of special slide-specific commands.