INTRODUCTION – Find and Share Stories Using Data

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: TELL STORIES WITH DATA

1. Fill in the blank: The presenting stage of exploratory data analysis involves sharing _____, which can include graphs, charts, diagrams, or dashboards.

2. During which exploratory data analysis practice might a data professional familiarize themself with the meaning of column headers in a dataset?

3. If sampled data is organized in such a way that it does not accurately represent its population as a whole, what problem will occur?

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: HOW PACE INFORMS EDA AND DATA VISUALIZATIONS

1. What are the primary drivers of a data-driven story? Select all that apply.

2. Fill in the blank: In order to help avoid _____ in the workplace, data professionals share the PACE plan with stakeholders and team members.

3. Why is it important to maintain proper scale of a graph’s axes in a data visualization?

QUIZ: MODULE 1 CHALLENGE

1. Fill in the blank: The type of data being studied and the _____ guide the order of the six practices of exploratory data analysis.

2. A data team leader at a clothing manufacturer reviews a dataset that will be used to decide where to open new retail stores. They conceptualize how their analytics team can most effectively use the dataset. Which exploratory data analysis process does this scenario describe?

3. What are the goals of the structuring exploratory data analysis step? Select all that apply.

4. Which of the following statements correctly compare data cleaning to data validation during exploratory data analysis? Select all that apply.

5. Fill in the blank: A data professional discovers that their dataset does not have enough data. Therefore, they choose to add more data during the _____ process.

6. What steps may be involved with presenting data insights to others during exploratory data analysis? Select all that apply.

7. What are some strategies that a data professional might use to help avoid miscommunication in the workplace? Select all that apply.

8. A data professional works on a project that uses data from a study about farming in Africa. They consider how to use the PACE framework to perform exploratory data analysis practices effectively. Which of the following objectives will this help them achieve? Select all that apply.

9. Fill in the blank: The exploratory data analysis process is_____, which means data professionals often work through the six practices multiple times.

10. Fill in the blank: A data professional might add more context to the data during the _____ process by adding information from other data sources.

11. Fill in the blank: To avoid _____ in the workplace, data professionals can share initial data findings with a working group to get feedback before providing analyses to all stakeholders.

12. A data professional at a financial investment company familiarizes themselves with a dataset for a new investment project. They consider the meaning of the column headers and how many total data points exist. Which exploratory data analysis process does this scenario describe?

13. Fill in the blank: In exploratory data analysis, _____ is the process of augmenting a dataset by adding values from other sources.

14. A data professional works on a project that uses data from a study about mental health in Europe. They consider how to use the PACE framework to perform exploratory data analysis practices effectively. Which of the following objectives will this help them achieve? Select all that apply.

15. A data professional works in the research and development department of a high-tech firm. They receive a dataset that will be used when creating next year’s products. They review the data and consider key questions about it. Which exploratory data analysis process does this scenario describe?

16. What procedures take place during the structuring exploratory data analysis step? Select all that apply.

17. What processes do data professionals perform during the structuring exploratory data analysis step? Select all that apply.

18. What are some best practices associated with visualizing data during exploratory data analysis? Select all that apply.

19. Fill in the blank: Exploratory data analysis is the process of investigating, organizing, and analyzing datasets and _____ their main characteristics.

20. A data professional works on a project that uses data from a study about teachers in Australia. They apply the PACE framework to perform exploratory data analysis practices effectively. Which of the following objectives will this help them achieve? Select all that apply.

21. Fill in the blank: A data professional discovers that their dataset does not have enough data. Therefore, they choose to add more data during the _____ process.

22. Fill in the blank: To avoid miscommunication in the workplace, data professionals can share _____ with a working group to get early feedback.

23. What may be involved with visualizing data during exploratory data analysis? Select all that apply.

24. What is the process data professionals use to investigate, organize, and analyze datasets in order to summarize the data’s main characteristics?

25. When a data professional discusses a project plan and company goals with stakeholders, which element of the PACE model are they engaged in?