5.Question 5R is an open-source tool/programming language with thousands of people contributing to the R community.1 pointTrueFalse6.Question 6How should analysts characterize tools found in the bottom right quadrant of the data visualization tools analysis discussed in this module? 1 pointLimited capability & hard to useLimited capability & easy to usePowerful capability & hard to usePowerful capability & easy to use7.Question 7

Question 9Which of the following statements accurately describe data visualizations and visualization tools? Select all that apply.1 pointThe programming language R does not integrate with data visualization tools.Choosing the most appropriate visualization is typically driven by the amount of data and the analysis process.Spreadsheets contain built-in chart and graph features.Tableau enables the creation of interactive dashboards for users to share.

Question 1 Which of the following is True about R language ?1 pointR supports importing of data from different sources like flat files, databases R is used for statistical inference and does not support visualizationR requires installation of additional libraries to handle data analysisR functions require lots of coding compared to other Data science tools

1.Question 1Which of the following are key elements of data analysis? 1 pointData-driven insightsData explorationConceptual meaningAll of the above2.Question 2Relativity is a meaningful data-driven pattern that can be presented in a chart. 1 pointTrueFalse3.Question 3The Gpairs package developed for R is used to chart which of the following? 1 pointCorrelationBox plotsHistogramsTime-series plots4.Question 4What is the correct order of the steps required to produce high quality dataviz? 1 pointPrep, prototype + improve, sketch + design, talk + listenPrototype + improve, prep, talk + listen, sketch + designSketch + design, prep, prototype + improve, talk + listenPrep, talk + listen, sketch + design, prototype + improve5.Question 5If given only one hour to prepare a data visualization, what is the optimal amount of time an analyst should devote to the Sketch + Design step? 1 point30 minutes20 minutes25 minutes10 minutes6.Question 6Which of the following is considered by Wong to be an essential element of a dataviz’s visual form? 1 pointBar chartsHD graphicsRIch contentMaps7.Question 7R is a powerful and dynamic computer application that produces high-quality, polished dataviz that should be imported directly into client-ready presentations to save analysts time and effort.1 pointTrueFalse8.Question 8Dona Wong’s framework that includes the concepts of Inviting Visualization, Rich Content, and Sophisticated Execution provides a more detailed view into which element of a successful visualization?1 pointInformationStoryGoalVisual Form9.Question 9Communicating with data effectively requires the analyst to understand where they are on their communication journey by answering which important questions? (Choose all that are correct)1 pointAre your ideas conceptual or data-driven?Are you ready to by declarative with your story or are you in exploratory mode?Should you use shading or no shading in your graphic?Should you use a dataviz tool that is easy-to-use or has powerful capabilities?10.Question 10Why is it important to sketch dataviz by hand before starting work on a computer? (Choose all that are correct)1 pointSketching allows us to utilize the prefrontal cortexSketching visualizations will ultimately save time and effortSketching ensures that we infuse our dataviz with emotionSketching ensures that our creativity is not limited by our familiarity with a dataviz computer application

Data Analysis Tools and Languages*

Question 2What type of tool uses dashboards to organize data into categories and allows analysts to identify potential security incidents as they happen?1 pointPythonSIEMLinuxnetwork protocol analyzers (packet sniffers)