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- # 1: Heading
- # 2: Data analysis with R
- - what is R
- - history of R
- - what is data analysis
- "Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making."
- # 3: Installing R
- # 4, 5: Installing R
- - Go to https://cran.r-project.org
- > Download R for Windows
- > base
- - sudo apt update && sudo apt install r-base
- - calling R from command-line
- - quit with q()
- - some "Hello World" examples, math
- # 6: Installing RStudio Desktop
- - go to https://posit.co
- > Open Source
- > R Studio IDE
- > Download R Studio Desktop
- - sudo snap install rstudio
- - Show around
- # 7: Running R on Posit Cloud
- - go to https://posit.co
- > Products
- > Cloud
- > Posit Cloud
- > Log in or Sign up
- - Show around
- # 8: Packages in R
- - https://cran.r-project.org/web/packages/available_packages_by_date.html
- # 9: The daily life of a data scientist
- - get dataset: package datasets, read.csv
- - Exploratory: summary, hist, scatter, boxplot
- # 10: Data visualization in R
- # 11, 12: getting the data
- - kaggle.com
- > datasets
- > Diamonds
- # 13: Exploratory Data Analysis in R
- # 14: Exploratory Data Analysis
- - null hyphothesis: "the initial hyphothesis is wrong"
- # 16, 17, 18: Data visualization in R
- - Examples
- # 19: Additional reading
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