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Course Notes

Use this workspace to take notes, store code snippets, or build your own interactive cheatsheet! For courses that use data, the datasets will be available in the datasets folder.

  • time series - chronological order
  • data - recorded sequential over time

EX: time series data is stamped time is index on the x - axis

type of time series models: - White Noise(WN) - Random Walk (RW) - Autoregression (AR) - Simple Moving Avg. (MA)

head and tail typical codes

#code

head of the first 10 rows , nile refrenc - the dataframe

head(Nile, n=10)

tail of last 12 rows

tail(Nile, n=12)

# Import any packages you want to use here

Take Notes

Add notes here about the concepts you've learned and code cells with code you want to keep.

Add your notes here

# Add your code snippets here