Removing outliers is always the correct approach to handling extreme values.

You find a dataset online for your final project. List and explain three criteria you should evaluate before deciding whether this data is appropriate to use. Connect each criterion to a potential real-world consequence of ignoring it.

df.isnull().sum() returns the number of missing values per column.

EDA should be performed before cleaning the data so raw patterns are preserved.

The mean is always a value that appears in the dataset.

You have learned both Python (pandas) and R (tidyverse) for data tasks. Describe one task where you would prefer Python and one where you would prefer R. Justify each choice based on the tools’ actual strengths — not personal preference alone.

A dataset contains a salary column. One row has salary = -5000. This is best described as:

Oxygen diffuses from the alveolar air into the blood primarily across the walls of the [BLANK-1].

What is the classification for Thyroid?

What is the brand name for Testosterone?