Sprint 147

Which of the following best describes the key concepts needed to get from data to insight:

• Discovery, qualitative analysis, verbal communication, and people

• Pattern discovery, visual communication, people, and computers

• Pattern discovery, quantification, statistical analysis, and visual communication

• Computers, people, pattern discovery, and visual communication

Data is the raw materials of analytics and several capabilities are required for analytics-ready data. Which of the following is not a data capability needed for analytics:

• Securing

• Provisioning

• Measuring

• Source to Target Mapping

Prescriptive analytics uses optimization and simulation to recommend actions. Which of the following scenarios would not use prescriptive analytics:

• Resource allocation

• Route selection

• Clustering

• Decision automation

The use of predictive analytics can result in predictions or classifications. Which of the following is the result of using classification?

• Churn scores for customers

• Current Movie rankings

• Rating categories of equipment for possible failure

• Scoring model for credit card fraud

Analytics depends on two purposes: data analytics and business analytics. Which statement best describes the relationship between data and business analytics:

• Business analytics relies on data analytics for visual communication

• Data analytics relies on business analytics to provide insights

• Data analytics depends on business analytics to have business impact

• Business analytics depends on data analytics for qualitative analysis

Which of the following is true about exploring categorical data? 

• Exploration is used to discover categories inherent in the data 

• Exploration is used to understand the composition of data by categories 

• Data can be explored using bar graphs, column graphs, pie charts, and area graphs 

• Data can be explored using line graphs and pictograph when there are multiple variables 

Infographics and pie charts are the simplest forms of visually representing data, information, or knowledge in an easy-to-consume format.

• True

• False

Which of the following is true about data visualization functions? 

• Distribution patterns show at what frequencies data values or conditions occur 

• Behavior over time patterns show what trends are observed in the data 

• Probabilities patterns show what are the chances that a specific value or condition will occur 

• Correlation patterns show causal relationships describing why a specific value or condition occurs 

Data visualization is a visual language with components and rules that turns large amounts of complex data into understandable and insightful business communications. 

• True 

• False

Which is a benefit of using color in data visualization? 

• The use of color enables a lot of data to be encoded into a small visual space 

• Hue is often used to encode categorical data where each hue represents a different group 

• A highly saturated color indicates higher quantities of a measurement subject 

• Hue is effective to encode quantities and saturation to encode categories