You’re working on a rush project, and you discover your dataset is not clean. Even though it has numerous nulls, redundant data, and other issues, the primary stakeholder insists that you move ahead and use it anyway. The project timeline is so tight that there simply isn’t enough time for cleaning. How would you handle that situation?1 pointThe stakeholder is in charge. It's best to do as they say and use the unclean dataset.Contact the stakeholder’s boss to let them know about the issue and ask for help managing the stakeholder’s expectations.Clean the data as quickly as you can. It’s not perfect, but it’s better than it was before, and this way you can meet the deadline.Communicate the situation to your supervisor and ask for advice on how to handle the situation with the stakeholder.

Now, the vice president presents a situation having to do with resolving challenges and meeting stakeholder expectations. Consider and respond to the following question.You’re working on a rush project, and you discover your dataset is not clean. Even though it has numerous nulls, redundant data, and other issues, the primary stakeholder insists that you move ahead and use it anyway. The project timeline is so tight that there simply isn’t enough time for cleaning. How would you handle that situation?

Now, the vice president presents a situation having to do with resolving challenges and meeting stakeholder expectations. Consider and respond to the following question.You’re working with a dataset that the data analytics coordinator should have cleaned, but it turns out that it wasn’t. Your supervisor thought the dataset was ready for use, but you discover nulls, redundant data, and other issues. The project is due in less than two weeks. How would you handle that situation?1 pointContact the data analytics coordinator and insist they clean the dataset immediately so you don’t miss your project deadline.Call a formal meeting with the data analytics team to solve the problem. Do not invite the associate data analyst, as they clearly don’t have time to help.Communicate with the data analytics coordinator about the issue and offer to work together to clean the data so the project doesn’t fall behind.Email your supervisor to let them know the associate data analyst did not complete their assigned task.

Wait for more data to come in to determine if it will support stakeholder anecdotesAsk your stakeholders to share the data they used to support their anecdotesRe-examine the data to determine if a mistake was made during data analysisAsk the team that prepared the table to re-analyze the dataYou reviewed a data summary table and noticed that the results are different from what stakeholders have anecdotally reported. Which of the following actions would you most likely take?

What are some benefits of documenting any errors you find while data cleaning? Select all that apply.1 pointSave time by not repeating errors in the futureKeep track of changesHaving a backup of your datasetMore efficient troubleshooting

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