# Introduction In this lab, you will learn how to use the `describe()` method in the Pandas library to generate descriptive statistics for a DataFrame. The `describe()` method calculates various statistical measures such as count, mean, standard deviation, minimum, maximum, and percentiles for numerical columns. It also provides summary statistics for columns with object data types. ## VM Tips After the VM startup is done, click the top left corner to switch to the **Notebook** tab to access Jupyter Notebook for practice. Sometimes, you may need to wait a few seconds for Jupyter Notebook to finish loading. The validation of operations cannot be automated because of limitations in Jupyter Notebook. If you face issues during learning, feel free to ask Labby. Provide feedback after the session, and we will promptly resolve the problem for you.
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