# 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
