QM - Data Visualization

Question 1

• is the graphical representation of data through visual elements such as charts, graphs, maps, or timelines.

Answer 1

Data visualization

Question 2

• Human brains decode information through patterns. Researchers found that human brains try to detect patterns in our environment all the time because it _____________.

Answer 2

makes learning easier.

Question 3

• helps you break down, process, and present information in a visual context. This way, it takes less time and effort for the brain to digest the information than analyzing data tabularly.

Answer 3

Data visualization

Question 4

The effectiveness of data visualization Research by _______ at Stanford University

Answer 4

Robert Horn

Question 5

• % of participants made an immediate decision following presentations that used an overview map.

Answer 5

64%

Question 6

• The use of visual language is proven to increase meeting effectiveness and efficiency, leading to % shorter meetings.

Answer 6

24%

Question 7

• Groups using visual language have experienced a % increase in reaching consensus compared to groups that did not use visuals.

Answer 7

21%

Question 8

• Combined verbal and visual communication increase credibility and influence rate to % compared to 17% when only verbal communication is used.

Answer 8

43%

Question 9

Advantages of Data Visualization

Answer 9

* Easily sharing information.
* Interactively explore opportunities.
* Visualize patterns and relationships.

Question 10

Disadvantages of Data Visualization

Answer 10

* Biased or inaccurate information.
* Correlation doesn’t always mean causation.
* Core messages can get lost in translation.

Question 11

TYPES OF DATA VISUALIZATION

Answer 11

1. tables
2. pie charts and stacked bar charts
3. line charts and area charts
4. histograms
5. scatter plots
6. heat maps
7. tree maps

Question 12

• These graphs are divided into sections that represent parts of a whole. They provide a simple way to organize data and compare the size of each component to one other.

Answer 12

Pie charts and stacked bar charts

Question 13

• : These visuals show change in one or more quantities by plotting a series of data points over time and are frequently used within predictive analytics. Line graphs utilize lines to demonstrate these changes while area charts connect data points with line segments, stacking variables on top of one another and using color to distinguish between variables.

Answer 13

Line charts and area charts

Question 14

utilize lines to demonstrate these changes while area charts connect data points with line segments, stacking variables on top of one another and using color to distinguish between variables.

Answer 14

Line graphs

Question 15

• : This graph plots a distribution of numbers using a bar chart (with no spaces between the bars), representing the quantity of data that falls within a particular range. This visual makes it easy for an end user to identify outliers within a given dataset

Answer 15

Histograms

Question 16

• : These visuals are beneficial in reveling the relationship between two variables, and they are commonly used within regression data analysis. However, these can sometimes be confused with bubble charts, which are used to visualize three variables via the x-axis, the y-axis, and the size of the bubble.

Answer 16

Scatter plots

Question 17

• : These graphical representation displays are helpful in visualizing behavioral data by location. This can be a location on a map, or even a webpage.

Answer 17

Heat maps

Question 18

• , which display hierarchical data as a set of nested shapes, typically rectangles. Treemaps are great for comparing the proportions between categories via their area size.

Answer 18

Tree maps

Question 19

Continuous Numeric Data

Answer 19

** * Appropriate charts: Histograms, box plots
* Appropriate descriptive statistics: Mean, Standard Deviation or Variance, Range (Maximum/Minimum), Median (more appropriate skewed data)**

Question 20

• When your data is a set of numbers between a range. The data can take any value over that interval. If the interval is 1-10, then the data can take values of 2, 3.4, 7.6, .391234 and so on.

Answer 20

Continuous Numeric Data

Question 21

• Is when your data fits into categories without ranks, for example: ‘Red’, ‘Green’, ‘Blue’, or ‘yes’/’no’. While the colors or response are different Red is not higher or lower than Green.

Answer 21

Nominal Categorical Data

Question 22

Nominal Categorical Data

Answer 22

* Appropriate charts: Bar charts
* Appropriate descriptive statistics: Frequency table, mode

Question 23

• This is when you have data that has distinct categories, that have an order to them, like ‘low, ‘medium’, ‘high’ setting on a machine or ‘3 months’, ‘4 months’, ‘5 months’ as distinct time units. Months could be Continuous if you were measuring time of survival in Months, but you could have them set, for example, as Month on a treatment, then they would be Ordinal.

Answer 23

Ordinal Categorical Data

Question 24

Ordinal Categorical Data

Answer 24

* Appropriate charts: Bar charts
* Appropriate descriptive statistics: Frequency table, Median, 1st and 3rd Quartile

Question 25

***Relationship between 2 ordinal or nominal variables***

Answer 25

*** Appropriate charts: Grouped Barcharts, Side by Side Barcharts * Appropriate descriptive statistics: Crosstabs**

Question 26

***Relationship between 1 ordinal or nominal variable and 1 continuous variable:***

Answer 26

*** Appropriate charts: Side by Side Boxplots, Stacked or Side by Side Histograms. * Appropriate descriptive statistics: Grouped means and standard deviations **

Question 27

**Data Visualization Best Practices**

Answer 27

* know your audience * chooose an effective visual * keep it simple

Question 28

* : Think about who your visualization is designed for and then make sure your data visualization fits their needs.

Answer 28

**Know your audience(s)**

Question 29

* : Specific visuals are designed for specific types of datasets.

Answer 29

**Choose an effective visual**

Question 30

* : Data visualization tools can make it easy to add all sorts of information to your visual.

Answer 30

**Keep it simple**