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🌟Machine Learning code example - 15: How to do Data Analysis in a Pandas DataFrame?


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How to do Data Analysis in a Pandas DataFrame?

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## How to do Data Analysis in a Pandas DataFrame
def Kickstarter_Example_70():
    print()
    print(format('How to Data Analysis in a Pandas DataFrame','*^82'))
    import warnings
    warnings.filterwarnings("ignore")

    # load libraries
    import pandas as pd

    # Create dataframe
    raw_data = {'regiment': ['Nighthawks', 'Nighthawks', 'Nighthawks', 'Nighthawks', 'Dragoons', 'Dragoons', 'Dragoons', 'Dragoons', 'Scouts', 'Scouts', 'Scouts', 'Scouts'],
                'company': ['1st', '1st', '2nd', '2nd', '1st', '1st', '2nd', '2nd','1st', '1st', '2nd', '2nd'],
                'name': ['Miller', 'Jacobson', 'Ali', 'Milner', 'Cooze', 'Jacon', 'Ryaner', 'Sone', 'Sloan', 'Piger', 'Riani', 'Ali'],
                'preTestScore': [4, 24, 31, 2, 3, 4, 24, 31, 2, 3, 2, 3],
                'postTestScore': [25, 94, 57, 62, 70, 25, 94, 57, 62, 70, 62, 70]}
    df = pd.DataFrame(raw_data, columns = ['regiment', 'company', 'name', 'preTestScore', 'postTestScore']); print(df)

    # Create a groupby variable that groups preTestScores by regiment........
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