3. Linear Regression

Activity 3.01: Plotting Data with a Moving Average

1. Load the two required packages:

   import pandas as pd
   import matplotlib.pyplot as plt

2. Load the dataset into a pandas DataFrame from the CSV file:

   df = pd.read_csv('../Datasets/austin_weather.csv')
   df.head()

   The output will show the initial five rows of the austin_weather.csv file:

   Figure 3.61: The first five rows of the Austin weather data (note that additional columns to the right are not shown)

3. Since we only need the Date and TempAvgF columns, we'll remove all the other columns from the dataset:

   df = df.loc[:, ['Date', 'TempAvgF']]
   df.head()

   The output will be as follows:

   Figure 3.62: Date and TempAvgF columns of the Austin weather data

4. Initially, we are only interested in the first year's data, so we need to extract that information only. Create a column in the DataFrame for the year value, extract the year value as an integer from the strings in the Date column...