Data Cleaning

Examine the imported data. As you can see, the data is “dirty,” containing incorrect or missing values.

There are several issues with the data:

• Some fields are blank.
• An average pulse of 9,000 is unrealistic.
• The value 9,000 is treated as non-numeric due to the space separator.
• One observation of max pulse is recorded as “AF,” which is not valid.

Therefore, we need to clean the data before performing any analysis.