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Python Business Intelligence Cookbook by Robert Dempsey

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Performing a time-series analysis

A time-series analysis allows us to view the changes to the data over a specified time period. You see this being used all the time in presentations, on the news, and on application dashboards. It's a fantastic way to view trends.

For this recipe, we're going to use the Accidents data set.

How to do it…

  1. First, import the Python libraries that you need:
    import pandas as pd import numpy as np import matplotlib as plt import matplotlib.pyplot as plt %matplotlib inline Next, define a variable for the accidents data file, import the data, and view the top five rows. accidents_data_file = '/Users/robertdempsey/Dropbox/private/Python Business Intelligence Cookbook/Data/Stats19-Data1979-2004/Accidents7904.csv' accidents = ...

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