Data Visualization — Learn free

Self-check

Questions 1–10 of 10

1. Why is Data Visualisation said to determine the success or failure of a data project?
Question 1A. Because it is the most expensive part of the projectB. Because it is what end users actually see; if they cannot make use of the data, all the other effort is wastedC. Because it replaces the need for a data warehouseD. Because regulators only audit dashboardsE. Because it is the first step of any data pipeline
2. Which phrase is quoted in I Am Datapedia! to capture the importance of Data Visualisation?
Question 2A. If you can't measure it, you can't manage itB. Garbage in, garbage outC. A picture is worth a thousand rowsD. If you can't draw it, you don't know itE. Data is the new oil
3. What is the maximum number of KPIs recommended on one page of a dashboard?
Question 3A. FiveB. TwoC. TenD. ThreeE. Twenty
4. Why must a dashboard builder know the cardinality of every table they are going to join?
Question 4A. To choose the right colour paletteB. To reduce licence costsC. To eliminate the chance of producing Cartesian dataD. To satisfy the five-KPI ruleE. To decide which visualisation tool to buy
5. How many tabular sections are recommended on a single dashboard page?
Question 5A. None; tables should never appear on dashboardsB. As many as fit on the screenC. Exactly fiveD. At least threeE. One, with a maximum of two
6. Where should data preparation, such as creating a third column by multiplying two others, be done according to the Data Visualisation rules?
Question 6A. In the visualisation tool, to save storageB. In a spreadsheet exported from the dashboardC. At the datastore level, even at the cost of extra storage, so the tool's memory is kept for slicing, dicing and drillingD. In the end user's browserE. It should not be done at all
7. How should the five Data Visualisation rules be treated?
Question 7A. As not hard rules; they can be optimised based on the infrastructure in place and are only a few of manyB. As mandatory rules that must never be variedC. As rules that apply only to TableauD. As rules that apply only to BI SpecialistsE. As legal requirements for dashboards
8. What big mistake are organisations described as making with regard to roles in Data Visualisation?
Question 8A. Hiring too many BI SpecialistsB. Buying more than one visualisation toolC. Letting end users build their own dashboardsD. Having their Data Analysts also perform BI Specialist roles, although these are different roles needing different toolsE. Storing dashboards in a Data Lake
9. In the author's own assessment, which tools are data analysis tools for Data Analysts, and which are for BI Specialists?
Question 9A. Cognos, OBIEE and SSRS for Data Analysts; Tableau, Qlik and Power BI for BI SpecialistsB. Tableau, Qlik and Power BI for Data Analysts; Cognos, OBIEE and SSRS for BI SpecialistsC. All six tools are for Data Analysts onlyD. All six tools are for BI Specialists onlyE. Excel for Data Analysts; everything else for BI Specialists
10. Which of the following is NOT one of the stated rules for good Data Visualisation?
Question 10A. First identify all the relevant KPIs to be presented on the same pageB. Do not have more than five KPIs on one pageC. Know the cardinality of all tables to be joinedD. Never enrich or prepare data in the visualisation toolE. Always prepare derived columns inside the visualisation tool to save storage