---
title: "Lab 2"
output: html_document
---

Please use D2L to turn in both the PDF/ Word output and your R Markdown file.

Assume you have been hired by a local purveyor of avocado toast, let's say [Jam](https://www.jamonmain.com), to perform research on avocado prices. For this lab you will explore a dataset containing historical sales prices and volumes of avocados. More details about the complete dataset can be found here [https://www.kaggle.com/neuromusic/avocado-prices/home](https://www.kaggle.com/neuromusic/avocado-prices/home).

A subset of this dataset is available at [http://math.montana.edu/ahoegh/teaching/timeseries/data/avocado_west.csv](http://math.montana.edu/ahoegh/teaching/timeseries/data/avocado_west.csv). The dataset contains the following variables:

- Date: (note, the `read_csv()` function may read this as a date-time object)
- AveragePrice: the price of a single avocado
- TotalVolume: the amount of avocados sold
- Type: category to denote conventional or organic

#### 1. Data Visualization (40 points)
Create a visualization to display the dataset and include a 2 to 3 sentence caption to describe your figure. Note there are a few different things you could choose to focus on here, but clearly describe (in the graph and caption) would you are focusing on.

#### 2. Time Series Decomposition (40 points)
Create a visual decomposition of the time series and discuss what you see.

(STAT 536). Write out the decomposition

#### 3. Forecasting (20 points)

###### a.
Discuss a strategy for estimating the volume of avocados sold weekly for a year, given that you know the prices.

###### b.
Discuss a strategy for estimating the volume of avocados sold weekly for a year, given that you don't know the prices.