Assignment in Python - Time Series Analysis
Use the following dataset 'Crime in Major Cites' to compare crimes rates in different cities for the years listed in the dataset. Is there an obvious trend?
Here are some examples to get your Python program started:
- import pandas as pd, numpy as np
- import matplotlib.pyplot as plt
- import statsmodels.formula.api as smf
- import statsmodels.api as sm
- Data = pd.read_csv("Example.csv")
- Data.head()
- Data.describe()
Once you have an idea as what the data is, you can then plot various crime stats for all cities or select regions for the 3 different years, preferably on the same page and same scale to see how crime rates may have varied among different cities / regions for those 3 years. Please provide the code (add the comments by using #) and the interpretation.
Attachment:- Assignment Files.rar