
Plotting Seasonality and Correlation
Matt Dancho
Source:vignettes/TK05_Plotting_Seasonality_and_Correlation.Rmd
TK05_Plotting_Seasonality_and_Correlation.Rmd
This tutorial focuses on 3 functions for visualizing time series diagnostics:
-
ACF Diagnostics:
plot_acf_diagnostics()
-
Seasonality Diagnostics:
plot_seasonal_diagnostics()
-
STL Diagnostics:
plot_stl_diagnostics()
Correlation Plots
Grouped ACF Diagnostics
m4_hourly %>%
group_by(id) %>%
plot_acf_diagnostics(
date, value, # ACF & PACF
.lags = "7 days", # 7-Days of hourly lags
.interactive = interactive
)
Seasonality
Seasonal Visualizations
taylor_30_min %>%
plot_seasonal_diagnostics(date, value, .interactive = interactive)
Grouped Seasonal Visualizations
m4_hourly %>%
group_by(id) %>%
plot_seasonal_diagnostics(date, value, .interactive = interactive)
STL Diagnostics
m4_hourly %>%
group_by(id) %>%
plot_stl_diagnostics(
date, value,
.frequency = "auto", .trend = "auto",
.feature_set = c("observed", "season", "trend", "remainder"),
.interactive = interactive)