Module 3 lecture 1

Question 1

Definition of Data visualization

Answer 1

Practice of representing data through visual images

ex: line graphs to infographics

Question 2

What are the four use cases for data visualization

Answer 2

1. exploratory-for visual analysts to derive insights and patterns from
2. explanatory-used to communicate data to people in a simple manner. Only visuals should be needed to understand.
3. Hybrid-infographics which contain limited findings specifically meant for the audience to find.
   ex: ?

Question 3

what are the three V categories?

Answer 3

1. Volume-The amount of data which is growing in
   number as time goes on.
   -40 billion of users on facebook
   2.Veracity-The type of data
2. Velocity-the speed at which we are able to generate new data

Question 4

Describe the three stages of the evolution of BI

Answer 4

1. Data warehousing
2. Analyzing data and making conclusions
3. Analyzing data and predicting the future

Question 5

Animated streaming visualization: Diverging bar chart

Answer 5

Multiple layers placed on top of one another which change as time in the chart moves on to indicate the change in years.

Question 6

What should you always do with data and why?

Answer 6

always question it’s assumptions and source because

Question 7

What are the characteristics of good data?

Answer 7

clean, relevant, can be trusted and leveraged (used for a purpose)