Techniques for Data Visualization

1. Bar Charts contain what type of Data? a. Continuous Data b. Discrete Data c. Interpreted Data d. Categorical Data

a. Continuous Data

1. Which variable type cannot be divided? a. Discrete b. Eccentric c. Perishable d. Numerical

a. Discrete

1. Data visualization conveys information through...? a. Graphical representations b. Numbers c. Lectures d. Textbooks

a. Graphical representations

1. Which of the following is recommended for discrete data? a. Histograms b. Bar Charts c. Line Charts d. Scatter Plot

a. Histograms

1. Which graph would provide the best illustration of trends based on growth per year? a. Line Chart b. Pie chart c. Bubble Chart d. Scatter Chart

a. Line Chart

1. What is the objective for utilizing visual representation of information? a. Support decision making b. To help customers gain a better understanding of product integrity c. To facilitate the sharing of thoughts and observations d. Eliminate suggestion

a. Support decision making

1. This is an example of a discrete variable. a. Zip code b. Salaries c. Revenue d. Length

a. Zip code

1. Which of the following is not a goal of data visualization? a. Answer Questions b. Inspect and Cleanse Data c. Find Patterns d. Support Decision Making

b. Inspect and Cleanse Data

1. Data visualization help us make ________ decisions without having to read pages of tables and data. a. Interpolated b. Quick c. Inaccurate d. Aggregated

b. Quick

1. Example of a continuous variable. a. Letter Grades b. Revenue c. Employees d. ZIP code

b. Revenue

1. Technique to put data into context for easier consumption. a. Histograms b. Scatter Chart c. Data Visualization d. Line Chart

c. Data Visualization

1. Which graph would best illustrate the trends showing the history of student grades for this class? a. Pie Chart b. Histogram c. Line Chart d. Scatter Chart

c. Line Chart

1. Define Data Visualization? a. Placing data into binary b. Scanning for virus infiltration c. Putting data into context for easier consumption d. The process of synthesizing information for the benefit of a customer

c. Putting data into context for easier consumption

1. Which is not a goal of data visualization? a. Support Decision making b. Support graphical calculation c. See data in context d. Clean data for machine learning

d. Clean data for machine learning

1. Which one is not a rule of thumb with regards to data visualization? a. Label correctly b. Choose the correct scale c. Use color correctly d. Use "Times New Roman" as a font

d. Use "Times New Roman" as a font

1. Which variable can be divided? a. Discrete b. Eccentric c. Perishable d. Numerical

d. Numerical

1. Which of the following is not an important rules of thumb with regards to data visualization? a. Who are you creating this for? b. What type of data are you using? c. Choose the correct scale. (So you do not mislead the audience) d. Use color when you have the opportunity.

d. Use color when you have the opportunity.