T4G1

Pandas Series are

• Labeled two-dimensional string arrays

• Labeled one-dimensional integer arrays

• Unlabeled multi-dimensional float arrays

• Unlabeled one-dimensional character arrays

Answer explanation

Pandas Series are labeled one-dimensional arrays that can hold any data type, including integers. They are not two-dimensional, unlabeled, or limited to specific data types like floats or characters.

When creating a DataFrame from a n-dimensional array, what is typically required?

(choose the best answer)

• Data, column titles, and a row index

• Only the data itself

• Data, row index, and a specific data type

• Data and optional column titles

Answer explanation

To create a DataFrame from a n-dimensional array, you need the data and optional column titles. While row indices can be specified, they are not required, making 'Data and optional column titles' the best answer.

The .loc method for accessing DataFrame elements uses:

• Integer-based indexing for both rows and columns

• Integer-based indexing for rows and label-based for columns

• Label-based indexing for both rows and columns

• Label-based indexing for rows and integer-based for columns

Answer explanation

The .loc method in pandas uses label-based indexing for both rows and columns, allowing you to access data using the labels of the rows and columns rather than their integer positions.

Which Seaborn plot would be most suitable for visualizing the distribution of a numerical variable, especially when you want to see the shape, center, and spread of the data?

• Scatter plot

• Histogram

• Line plot

• pie plot

Answer explanation

A histogram is ideal for visualizing the distribution of a numerical variable, as it shows the shape, center, and spread of the data through bars representing frequency counts. Other plots like scatter or line plots do not effectively convey this information.

When comparing two or more categorical variables, which Seaborn plot would be most appropriate for visualizing their relationship and the distribution of each category?

• Scatter plot

• Countplot

• box plot

• swarm plot

Answer explanation

A countplot is ideal for visualizing the relationship and distribution of categorical variables, as it displays the count of observations in each category, making it easy to compare multiple categories effectively.