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The Applied Data Science Workshop

You're reading from   The Applied Data Science Workshop Get started with the applications of data science and techniques to explore and assess data effectively

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800202504
Length 352 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Alex Galea Alex Galea
Author Profile Icon Alex Galea
Alex Galea
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Toc

3. Preparing Data for Predictive Modeling

Activity 3.01: Preparing to Train a Predictive Model for Employee Retention

Solution:

  1. Check the head of the table by running the following command:
    %%bash
    head ../data/hr-analytics/hr_data.csv

    Note how we specify paths relative to the notebook's location. In this case, we need to step back one directory (by using ".." in the file path), which brings us to the root folder for the project. Then, we look in data/hr-analytics for hr_data.csv.

    This will generate the following output:

    Figure 3.25: Printing the head of hr_data.csv with bash

  2. If you cannot run bash in your notebook, run the following command:
    with open('../data/hr-analytics/hr_data.csv', 'r') as f:
        for _ in range(10):
            print(next(f).strip())

    The output is as follows:

    Figure 3.26: Printing the head of hr_data.csv with Python

    Judging by the output, convince yourself that it...

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