What are two of the functions of pandas and what do they mean?(1 point)

Question

collecting data, cleaning data
querying your dataset, grouping and aggregating your data
calculating measures of central tendency, calculating trigonometric problems
combining multiple datasets, sending data analysis to team members

If you cannot view all your data because it contains too many columns, what code should you use?
(1 point)
data.set_option("display.max.columns", Infinity)
data.display.max.columns(True)
data.set_option("display.max.columns", None)
data.display.max.columns()

Answer 1

Functions of Pandas

The two functions of pandas among the options provided are:

1. Querying your dataset: This involves filtering the data based on specific conditions or extracting specific subsets of data from a larger dataset. It allows users to efficiently analyze data by selecting only the relevant information they need.

2. Grouping and aggregating your data: This function involves organizing data into groups based on certain criteria and performing aggregate operations like sum, mean, count, etc., on those groups. It helps in summarizing the data and understanding patterns or trends.

Code to View All Columns

To view all your data when it contains too many columns, the appropriate code to use is:

data.set_option("display.max.columns", None)

This command sets the maximum displayable columns to None, allowing all columns in the DataFrame to be shown.