Question

question 8 of 10
data scientists clean data to ____________ and ____________.
fix and respond to errors; present data in a visually appealing way
ensure accuracy and usability of data; fix and and respond to errors
ensure accuracy and usability of data; present data in a visually appealing way
fix and respond to errors; conduct sentiment analysis

Explanation:

Data cleaning in data science aims to ensure the data is accurate (free from errors like incorrect values) and usable (formatted properly, relevant, etc.). Fixing and responding to errors is part of this process. Presenting data in a visually appealing way is more about data visualization. Conducting sentiment analysis is a different data - related task.

Answer:

ensure accuracy and usability of data; fix and and respond to errors