Time Series Plots .R

Time Series analysis concepts using examples in r. Multiple data sets were used to demonstrate reading in data, filtering, date conversion, plotting (autoplot, gg_season, gg_subseries, GGalley), seasonality, cross correlation, autocorrelation, ACF, lag, white noise etc.

Packages: fpp3, readr

Data Preprocessing:

• tsibble objects
• Data: PBS (tsibble object) containing monthly data on Australia medicare prescription data
• Filtering (Month, Concession, Type, Cost)
• Summarise (all costs in a given month)
• Mutate to create a new cost column
• Date conversion
• Tsibble object Date conversion

Time series plots

• Airport Data
• Autoplot of Cost (Antidiabetic drug sales)
• Checking for seasonality
• Seasonal subseries plot
• Demand per day, week, year etc.

Holiday Tourism Data

• "Australian domestic holiday nights" Time series plots
  • autoplot, gg_season, gg_subseries
• Cross Correlation: "Half-hourly electricity demand: Victoria, Australia"
  • Demand, temperature
• GGally
• Auto-correlation - checking for lag one time period ago
• (ACF) auto correlation function
• White Noise

Code to play with a time series

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