Which of the following Pandas functions can be used for exploratory data analysis in Python? Select three that apply.DataFrame.info()DataFrame.describe()DataFrame.summary()DataFrame.head()Previous

The three Pandas functions that can be used for exploratory data analysis in Python are:

1. DataFrame.info(): This function is used to get a concise summary of the dataframe. It comes really handy when doing exploratory analysis of the data. It shows the type of data, number of rows and columns, and the number of non-null values in each column.

2. DataFrame.describe(): This function is used to generate descriptive statistics of a dataframe. It provides central tendency, dispersion and shape of the dataset’s distribution, excluding NaN values.

3. DataFrame.head(): This function is used to get the first n rows of a dataframe. It's useful to quickly test if your object has the right type of data in it. By default, it returns the first 5 rows of the dataframe.