Gain insights into data science with easy-to-follow, hands-on explanations. Explore essential concepts quickly and efficiently, even without prior statistics knowledge, for a career boost.

GrokkingDataScientist.tar.gz

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Master the skills that can get you a $100K+ salary even if you bunked your statistics classes. 

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Grokking Data Science

# The DataFrame Object

In the previous lesson, we learned about Series. The next fundamental structure in Pandas that we will learn about is the DataFrame. **While a Series is essentially a column, a DataFrame is a multi-dimensional table made up of a collection of Series**. Dataframes allow us to store and manipulate tabular data where rows consist of observations and columns represent variables.

There are several ways to create a DataFrame using `pd.DataFrame()`. For example, we can create a DataFrame by passing multiple Series into the DataFrame object, we can convert a dictionary to a DataFrame or we can import data from a csv file. Let's look at each of these in detail.



Python Fundamentals for Data Science

The Fundamentals of Statistics

Machine Learning 101

End-to-End Machine Learning Project

The Real Talk

Pandas Core Components - The DataFrame Object

The DataFrame Object