Data Visualization Techniques

Learn how to effectively present data through visual representations.

Question 1 of 11

Question 1: Visualization Types

What is the difference between exploratory and explanatory data visualization?

AExploratory helps discover insights while explanatory communicates specific findings

BExploratory uses simple charts while explanatory uses complex ones

CExploratory is for internal use while explanatory is only for clients

DExploratory is automated while explanatory is manual

Question 2: Chart Selection

Which chart type is best for showing the composition of a whole?

ALine chart

BScatter plot

CPie chart or treemap

DHistogram

Question 3: Heatmap Usage

What is a heatmap used for?

AShowing the distribution of values across two dimensions

BDepicting changes over time

CComparing exact values

DShowing relationships between variables

Question 4: Data-Ink Ratio

What is the principle of “”data-ink ratio”” in data visualization?

AThe ratio of data points to visualization elements

BThe proportion of ink/pixels used to present data versus decorative elements

CThe balance between text and visual elements

DThe calculation of how much data can fit in one visualization

Question 5: Choropleth Map

What is a choropleth map?

AA map showing terrain elevation

BA map using different colors or patterns to represent statistical variables

CA map showing population density only

DA map of imaginary lands

Question 6: Chartjunk

What does “”chartjunk”” refer to in data visualization?

AComplex charts that are difficult to understand

BVisual elements that do not contribute to understanding the data

CCharts with extensive data points

DOutdated visualization techniques

Question 7: Sankey Diagram

What is a Sankey diagram best used for?

AShowing hierarchical data

BVisualizing geospatial information

CDisplaying flows or transfers between categories

DComparing values across categories

Question 8: Multivariate Data

What visualization technique is most appropriate for multivariate data analysis?

ASimple bar charts

BScatter plot matrices or parallel coordinates

CBasic line graphs

DPie charts

Question 9: Preattentive Attributes

Which of the following is NOT a preattentive attribute in data visualization?

AColor

BSize

COrientation

DResolution

Question 10: Dashboard Purpose

What is the purpose of a visualization dashboard?

ATo present a single data point in detail

BTo replace data tables entirely

CTo provide an at-a-glance view of key metrics and trends

DTo eliminate the need for data analysis

Question 11: Dashboard Purpose

What is the purpose of a visualization dashboard?

ATo present a single data point in detail

BTo replace data tables entirely

CTo provide an at-a-glance view of key metrics and trends

DTo eliminate the need for data analysis