There is a very useful method in pandas that gives us basic information on a dataset, and the method is called `info()`. Let's take a look at how we apply this method.

#It's a dataframe
frame = pd.read_csv(file.csv)
info=frame.info()

We can see that this method showed us the number of rows and columns the dataframe has, as well as the name of each column with the data type. In our dataframe there are 1000 rows and 20 columns.

In order to find out how big our dataframe is, we need to use the `len()` function, as in the example below.

In this section, we will introduce the basics of the series and dataframe  data structures. We will also learn the difference between these structures.

Raw data comes in many forms: CSV, JSON, SQL, HTML, and so on. With pandas, we can work with data in a variety of formats. In this chapter, we will take a closer look at the CSV and TXT formats.

In this section, we will learn how to work with raw data, how to remove unwanted data, and how to work with null values in a dataset.