Question 5A data analyst at a nonprofit organization is working with a dataset about a summer fundraiser. Although they have a lot of useful data by the end of June, they recognize that the data is insufficient. So, they decide to wait until the end of the season to begin working with the dataset. Which type of insufficient data does this example describe?1 pointData from only one sourceData that keeps updatingGeographically limited dataOutdated data

Question 5A data analyst, working for a publishing company, gathers a dataset which includes all books sold in the United Kingdom over the last three years. However, they decide to generate new data that represents global book sales. What type of insufficient data does this scenario describe?1 pointData from only one sourceData that keeps updatingData that is geographically limitedData that is outdated

What is data called that does not fit within the context of the use case? 1 point Irrelevant data  Relevant data Duplicate data  Missing data

Question 5A data analyst is collecting data. They decide to gather lots of data to make sure that a few unusual responses do not skew the results later in the process. What element of data collection does this describe? 1 pointData cleaningStatistical significanceSample sizeVisualization

1.Question 1What are some strategies data professionals can use when they do not have enough data to meet a business objective? Select all that apply.1 pointConsider whether it is possible to adjust the objective. Locate another relevant dataset to work with. Use hypothetical data that aligns with their own predictions.Use smaller-scale data until they can find more complete data.

A data analyst at a restaurant analyzes data about past sales and customer trends. They identify that the restaurant does not generate enough revenue to pay the staff whenever the restaurant is open before 4 p.m. The restaurant then adjusts their hours of operation to open at 4 p.m. What is this an example of?1 pointUsing intuition to create efficienciesSurvey data gatheringFollowing data ethicsData-driven decision-making