Question

why is it best for leah to minimize data when collecting data for her analysis?
select one
to quicken the pace of the data analysis
to reduce the risk of giving away private information
to lessen the chances of a possible data overload
leah, a data scientist, has been tasked with analyzing data from local weather stations to predict future weather patterns. in collecting the data, leah makes sure to only gather the necessary information, forsaking extra details, such as the name of the station manager or the exact latitude and longitude of the stations.

Explanation:

Leah is collecting data for weather pattern prediction. Minimizing data by only gathering necessary information (like avoiding station manager's name or exact station latitude/longitude) is about reducing the risk of giving away private information. Quicken data analysis pace is not the main focus here as the key is on data content. Data overload is also not the main issue as the example is about private info (not volume).

Answer:

To reduce the risk of giving away private information.