Module 4: Data Visualizations and Presentations

Q: Which of the following statements correctly describe dimensions and measures in Tableau? Select all that apply.

• Dimensions are numeric values that can be aggregated or placed in calculations.
• Measures are qualitative data values used to categorize and group data.
• Dimensions are qualitative data values used to categorize and group data. 
• Measures are numeric values that can be aggregated or placed in calculations. 

Explanation: Tableau has categorical variables known as dimensions, which often include qualitative data. It is possible to classify, organize, and label the data with their help. Some examples of categorical variables are names, dates, geographical locations, and geographic locations. Tableau's measures are numerical fields that include quantitative data (also known as "measures"). Calculations, aggregation (including computations such as sum, average, and count), and numerical analysis are the main applications for these. For instance, sales amounts, quantities, temperatures, and any other numerical data that may be aggregated are all examples of such data.

Q: Fill in the blank: The term _____ is a mathematical concept indicating that a measure or dimension has a finite and countable number of outcomes.

• radical
• discrete 
• ordinal
• continuous

Explanation: When referring to a measure or dimension, the phrase "discrete" is a mathematical notion that indicates that there is a limited and countable number of possible outcomes.

Q: In Tableau, what feature enables the creation of data value groupings in a histogram?

• Bins 
• Plots
• Sorts
• Joins

Explanation: In Tableau, bins are used to group continuous numeric data into discrete groups, or "bins". Bins are commonly used to create histograms, where the frequency or count of data points falling into each bin is plotted. This allows for a visual representation of the distribution of data.

Q: A data professional at a lumber supplier creates a presentation for stakeholders about how environmental conditions affect tree growth. They first focus on growth patterns in 20 counties. Then, they share broader insights about growth nationwide. What type of approach to data visualization does this scenario describe?

• Generic-to-specific
• Broad
• Specific-to-generic
• Chronological

Explanation: This strategy entails beginning with precise particulars or data that is relevant to a particular location and then progressing towards larger or more general conclusions. In this particular scenario, the data professional starts by analyzing the growth trends in twenty counties (specific), and then extrapolates or generalizes these results to give insights regarding growth on a national scale (general).

Q: A data analytics team at a jewelry designer creates a presentation for stakeholders about supplier sourcing practices. They first share broad insights about suppliers nationwide. Then, they focus on suppliers in particular states and counties. What type of approach to data visualization does this scenario describe?

• Broad
• Generic-to-specific 
• Specific-to-generic
• Chronological

Explanation: This approach involves starting with broad or general insights about a topic (in this case, supplier sourcing practices nationwide) and then drilling down into more specific details (focusing on suppliers in particular states and counties).

Q: A data professional at a shoe retailer creates a presentation for stakeholders about the best-selling sneakers. They share insights about three popular sneaker brand sales, beginning with January and continuing through year end. What type of approach to data visualization does this scenario describe?

• Generic-to-specific
• Specific-to-generic
• Chronological 
• Fluid

Explanation: The given scenario is an example of a chronological approach to data visualization. In this scenario, the data professional provides insights into three major shoe brand sales starting in January and continuing until the end of the year.

Q: Fill in the blank: A set in Tableau is a custom field of data created from a _____ based on custom conditions.

• Dashboard
• notebook
• data warehouse
• larger dataset 

Explanation: A set is a custom field of data that is formed in Tableau from a bigger dataset depending on the criteria that are specified by the user.

Q: Fill in the blank: A worksheet in Tableau Public is a data page that contains a _____ view of a data visualization.

• Duplicated
• mirrored
• single 
• paired

Explanation: Tableau Public's worksheets are data pages that include a single view of a data visualization. Worksheets are a kind of data page.

Q: In Tableau, what feature is used to determine how the data is segmented and compared in a histogram?

• Joins
• Filters
• Sources
• Bins 

Explanation: The usage of bins in Tableau allows for the grouping of continuous numeric data into discrete intervals, sometimes known as "bins." Bins provide users the ability to segment the data and generate a histogram by grouping data points into intervals along a continuous axis (for example, age ranges, income groups, or time intervals).

Q: A data professional at a convention center creates a presentation for stakeholders about the events that take place in their facility. They share insights about meetings over a five-year period, beginning in 2018 and continuing through 2023. What type of approach to data visualization does this scenario describe?

• Fluid
• Specific-to-generic
• Chronological 
• Generic-to-specific

Explanation: The scenario that was given is an example of a chronological approach to data visualization. In this scenario, the data professional provides insights into meetings that took place over a period of five years, starting in 2018 and continuing through 2023.

Q: Fill in the blank: A _____ in Tableau is a custom field of data created from a larger dataset based on custom conditions.

• Set 
• worksheet
• trend line
• custom view

Explanation: The term "set" refers to a custom field in Tableau that is a subset of data taken from a comprehensive dataset. The user creates it depending on certain circumstances or criteria that they have established. Some sets are static, meaning they are based on certain values, while others are dynamic, meaning they are based on circumstances that may change over time or on interactions.

Q: Fill in the blank: A _____ in Tableau Public is a data page that contains a single view of a data visualization.

• Bin
• Worksheet 
• source
• field

Explanation: When working with Tableau, a worksheet is a single page that allows you to construct and develop a data visualization. At its core is a single view, which may take the form of a chart, graph, map, table, or any other visual representation of the data.

Q: Which of the following statements correctly describe dimensions and measures in Tableau? Select all that apply.

• Dimensions can be aggregated or placed in calculations.
• Dimensions are used to categorize and group data. 
• Measures are numeric values.
• Dimensions are qualitative data values. 

Explanation: Tableau allows for the aggregation of dimensions (sum, average, count, etc.) and the use of these dimensions in computations, such as the creation of new fields or the execution of mathematical operations.

Q: Fill in the blank: The term _____ is a mathematical concept indicating that a measure or dimension has an infinite and uncountable number of outcomes.

• factorial
• discrete
• continuous 
• operative

Explanation: Continuous variables are those from the fields of mathematics and statistics that are capable of taking any value within a certain range. There is an endless number of alternative events that may occur between any two places inside the system. measures such as height, weight, time, and temperature are some examples of such measures.

Q: In Tableau, what are the custom segments of data that create the groups of values used in a histogram?

• Bins 
• Worksheets
• Fields
• Filters

Explanation: The usage of bins in Tableau allows for the grouping of continuous numeric data into discrete intervals, sometimes known as "bins." In order to generate histograms and other visualizations that illustrate the distribution of data over various intervals, bins enable you to split your data along a continuous axis (such as age ranges, income groups, or time periods), which allows you to build these representations.

Q: A data analytics team at a beverage company creates a presentation for stakeholders about juice sales. They first focus on sales in 15 cities. Then, they share broader insights about sales throughout the state. What type of approach to data visualization does this scenario describe?

• Specific-to-generic 
• Descriptive
• Generic-to-specific
• Chronological

Explanation: This strategy entails beginning with particular information or data that is relevant to a certain location (in this instance, sales data from 15 cities), and then moving on to wider or more general insights (for example, sales across the whole state). Before expanding their perspective to include a wider scope, it enables stakeholders to first get an understanding of localized patterns or trends.

Q: Fill in the blank: A set in Tableau is a custom _____ created from a larger dataset based on custom conditions.

• heat map
• workbook
• field of data 
• plot

Explanation: A set is a custom field of data that is formed in Tableau from a bigger dataset depending on the criteria that are specified by the user.

Q: Fill in the blank: A continuous dimension has an infinite number of outcomes, whereas the _____ dimension has a finite number of outcomes.

• Measureless
• connected
• discrete
• perpetual

Explanation: This term refers to a variable that is capable of taking on an endless number of values inside a specified array of values. Variables such as time, temperature, and height are examples of things that may have an infinite number of potential values.

Q: Fill in the blank: A worksheet in Tableau Public is a data page that contains a _____ in a single view.

• Dashboard
• data visualization 
• bin
• dataset

Explanation: In Tableau, a worksheet is a canvas that allows you to construct and design visualizations based on the fields (dimensions and measurements) that exist in your data source. It gives you the ability to construct charts, graphs, maps, tables, and other visual representations of data by allowing you to drag & drop fields into respective shelves.

Q: Which of the following statements correctly describe dimensions and measures in Tableau? Select all that apply.

• Dimensions can be aggregated or placed in calculations.
• Measures are qualitative data values.
• Measures can be aggregated or placed in calculations. 
• Measures are numeric values. 

Explanation: Grouping, classifying, and aggregating data are all possible uses for Tableau's dimensions. Calculations that use additional dimensions or measurements may also make use of them on their own.

Q: A data professional at a restaurant distributor creates a presentation for stakeholders about delivery efficiency. They first share broad insights about delivery speeds nationwide. Then, they focus on particular states and counties. What type of approach to data visualization does this scenario describe?

• Chronological
• Generic-to-specific 
• Broad
• Specific-to-generic

Explanation: It is possible, to begin with broad or general insights, such as the delivery speeds throughout the country, and then proceed to go deeper into more detailed specifics or data that is relevant to a particular region, such as the delivery speeds in certain states and counties. This allows stakeholders to first get a general understanding of the situation before digging into particular areas of interest.

Q: A data analytics team at a music venue creates a presentation for stakeholders about merchandise sales. They first focus on average t-shirt purchases at five particular venues. Then, they share broader insights about purchases across all their venues. What type of approach to data visualization does this scenario describe?

• Fluid
• Generic-to-specific
• Specific-to-generic 
• Chronological

Explanation: The presented situation is consistent with a specific-to-generic strategy to data visualization. In this method, the data analytics team first concentrates on the average number of t-shirt purchases made at certain venues, and then widens their attention to include wider insights across all venues.