Question

a data analyst is working for a local power company. recently, many new apartments have been built in the community, so the company wants to determine how much electricity it needs to produce for the new residents in the future. a data analyst uses data to help the company make a more informed forecast. this is an example of which problem type? 1 point spotting something unusual identifying themes discovering connections making predictions

Answer 1

The task of forecasting future electricity needs for new residents is an example of making predictions, utilizing data analysis and statistical modeling.

Step-by-step explanation:

In the scenario where a data analyst is working for a local power company to determine the amount of electricity needed for new apartment residents, the type of problem being addressed is making predictions. This involves using historical data, statistical analysis, and possibly predictive modeling techniques such as regression models to forecast future electricity demands.

By analyzing patterns within the data, such as consumption trends and population growth, the analyst can assist the power company in planning for the necessary electricity production to meet the anticipated needs of the community. The application of analytics in this context is crucial for efficient resource management and supports decision making in various sectors of society, particularly within businesses and local governments.