Morning | 8:30-11:45am

Begin Jedi training
 

1. Power on your droid
   • Install and update R
2. Project launch
   • Start a new R project
   • Create an R script
3. Tour and customize RStudio
4. Invent new/fake data
   • Variables, names, and lists
5. Make a data table / dataframe
   
6. Upgrade your droid
   • Add new R packages
     
7. Read real data into R
   • readr for text files
   • readxl for Excel files
8. Get visual with ggplot2
   • Plot the data, plot the data, plot the data!
   • Look for errors and outliers

Packages: readr, ggplot2

Afternoon | 1:15-5:00pm

Get scrappy and solve a junk-data mystery

1. Explore data
   • Column names, rows, observations, value types
   • Missing values
   • Mean, max, min, quantile
2. Data transformations with dplyr
   • Arrange, sort, and filter data
3. Summarize data
4. Find the most profitable scrap
   
5. Summarize each group, site, or category within the data
   • Summarize by location
     
   • Check for the number of data points in a group (you can use this to check for completeness!)

Travel to Endor to investigate magnetic storms

6. Introduction to data with dates
7. Plot time series

Packages: dplyr, lubridate

Morning | 8:30-11:45am

Questions and Review

1. Calendar Plots 📅
   • Plot data by day of the week
2. Intermediate data manipulation
   • Join tables together
   • Adding and calculating new columns
   • Unit conversions
   • Add new columns based on a condition
3. Learn summary functions: mean, median, max, min, nth
4. Use the with pipe %>% to string your functions together for less typing
5. Save files
6. Working with difficult data
   • Replacing NULL values, -999
   • Missing values NA

Packages: openair

Afternoon | 1:15-5:00pm

Star Wars - Guess Who

1. Plot like a Jedi!
   • Scatter plots and boxplots
   • Add titles, colors, and labels
   • Histograms
   • Reference lines
   • Add trend lines 📈
2. Save charts to different formats
3. Plot pollution vs. meteorology
   • Scatter plots
     • Conc vs. Temp
     • Conc vs. Hour of day
     • Temp vs. Hour of day
4. More plots
   • Log transform
   • Reference lines
5. Time series plots with regression line and detection limits

Morning | 8:30-11:45am

1. Join GitHub
2. Share your data, code, and plots

Questions / Review

1. Choose your own adventure!
   • Select your own or Star Wars data
2. PATHS
   • Wind and Pollution roses
   • Messy data
     • Gather a wide table with hundreds of columns into 1 column
     • Read an entire folder of files and combine into 1 table
   • More maps and shapefiles
     • Read and save shapefiles
     • Convert coordinate projections (ex. Lat/Long to UTM)
     • Load reference maps (Tribal boundaries, States, Counties)
     • Build interactive maps

Packages: tidycensus, tigris, sf, leaflet

Afternoon | 1:15-5:00pm

1. Select your own or Star Wars data
2. Build a report
   • Clean the data
   • Create a summary table
   • Compare years or sites
   • Chart & map the data
   • Multiple paths to choose from
3. Put script and results in Rmarkdown
   
4. Share with the world
   • Generate Web, Word and PDF documents

🐈🐈 Concatulations!! 🐱🐱