Custom Python Classes for Generating Statistical Insights from Data
In computer programming, a class is a blueprint for a user-defined data type. Classes are defined in terms of attributes (data) and methods (functions). These data structures are a great way to organize data and methods such that they are easy to reuse and extend in the future. In this post, we will define a python class that will allow us to generate simple summary statistics and perform some EDA on data.
Let’s get started!
For our purposes we will be working with the_ FIFA 19_ data set which can be found here.
To start, let’s import the pandas package:
import pandas as pd
Next, let’s set the maximum number of display columns and rows to ‘None’:
pd.set_option('display.max_columns', None) pd.set_option('display.max_rows', None)
Now, let’s read in our data:
df = pd.read_csv('fifa_data.csv')
Next we will print the first five rows of data to get an idea of the column types and their values (column results are truncated):
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