In this exercise, we have covered various topics including: 1. Time Series Data: Plots, trends, and seasonal variation Decomposition of series 2. Correlation: Expected value Autocorrelation The correlogram 3. Forecasting Strategies: Leading variables and associated variables Exponential smoothing and the Holt-Winters method.

Final Project: Personal Health and Spending Data Visualizations

Spatial Visualization

Data Exploration and Analysis Laboratory

The objectives of this problem set is to gain experience working with the `ggplot2` package for data visualization

Anscombe’s Quartet: Comparing summary statistics vs Visual/graphical representation of data - Visualization of data is a key component of getting a complete picture of the data.

Basic Visualization Process