MKTG 404 Exam 1 - FLASHCARDS - 3_ Tools to visualize data and visualization pt 2

1
Q

What are examples of different data visualization tools?

A

Excel
Google charts
Power BI
Tableau
Geospatial visualization tools

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2
Q

What are different programming tools?

A

R programming
Javascript
Python

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3
Q

What are the pros of Excel?

A
  1. Supports processing of data
  2. Compatible with Word and Power Point
  3. Relatively easy to learn
  4. Widely used
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4
Q

What are the cons of Excel?

A
  1. Good for basic visualization - not interactive
  2. Require customization to adhere to design standards
  3. May not process large dataset (~1GB)
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5
Q

What are the pros of Google Charts?

A
  1. Free and open option to create charts
  2. Include interactive, animated, and geospatial data graphics
  3. Integrates well with Google Apps Suite (such as Google Docs)
  4. Can easily access data from different computers
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6
Q

What are the cons of Google Charts?

A
  1. Requires customization to adhere to design standards
  2. May not be effective to process very large datasets (approaching ~1GB)
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7
Q

What are the pros of Power BI?

A
  1. Tightly integrated with other Microsoft tools – Excel, Azure Cloud Service, SQL Server
  2. Highly intuitive user interface
  3. Affordable
  4. Robust built in library of visuals
  5. Can import data from a wide range of sources
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8
Q

What are the cons of Power BI?

A
  1. Not many options to configure and optimize your visuals
  2. May not handle several relationships between tables well
  3. May have performance issues when importing large datasets
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9
Q

What are the pros of Tableau?

A
  1. Designed to explore and analyze data visually
  2. Integrate a wide range of data sources and file types
  3. Careful thought given to design and aesthetics - Inspired by the Grammar of Graphics
  4. Allows for interactive, spatial, animated, and dashboard displays
  5. Powerful community collaboration
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10
Q

What are the cons of Tableau?

A
  1. Initial data preparation required, recently Tableau has launched Tableau prep, a separate software to prep data
  2. Expensive
  3. In the free Public version, any data you upload to the servers becomes publicly available
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11
Q

What are the pros of R programming?

A
  1. Free open-source statistical programming language
  2. Built and maintained for statisticians by statisticians
  3. Capable of both data analysis and data graphics
  4. Libraries used for visualization in R: Graphics, ggplot2, car, lattice, ndtv, plotly
  5. Can write your own functions and packages to make graphics the way you want
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12
Q

What are the cons of R programming?

A
  1. Default chart outputs require design refinements: Lack of titles, Undefined scales for axes
  2. Use R to create graphs and edit and refine using design software: Adobe Illustrator, Inkmap
  3. R is great for exploratory data visualization (analysis) but may not be the best tool for explanatory data visualization (presenting results and storytelling)
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13
Q

What are the pros of Python?

A
  1. Can handle large amounts of data without crashing
  2. Useful for analyses and heavy computation
  3. Clean and easy-to-read syntax
  4. Some of Python’s data visualization libraries: Matplotlib, seaborn, geoplotlib, ggplot
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14
Q

True or false: a con of Python is that it is a great starting point for data exploration, not very good aesthetically?

A

TRUE

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15
Q

What are the pros of Javascript?

A
  1. Web-based scripting language
  2. Some JavaScript libraries – D3, rCharts, HighCharts, charts.js, dimple.js
  3. Freely available and allow users to create sophisticated web-based visualizations
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16
Q

What are the cons of Javascript?

A
  1. Steep learning curve
  2. Require skills in working with HTML and JSON
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17
Q

True or false: There is no one-size-fits all solution to visualizing data?

A

TRUE

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18
Q

What are the nine visual cues?

A

Position
Length
Angle
Direction
Shapes
Area
Volume
Color saturation
Color hue

19
Q

What visual cues do a scatterplot use?

A

Position

20
Q

What visual cues do a bar chart use?

A

Length

21
Q

True or false: the longer the bar on a bar chart, the longer the absolute value?

A

TRUE

22
Q

True or false: on a bar chart, start the axis at zero as people visually compare the distance from 0 to the end of the bar?

A

TRUE

23
Q

What visual cues do a pie chart use?

A

Angles

24
Q

True or false: donut charts do not use angles?

A

TRUE

25
Q

What visual cues do line graphs use?

A

Direction

26
Q

True or false: direction helps in noticing trends?

A

TRUE

27
Q

True or false: Shapes can be used to denote categories and objects?

A

TRUE

28
Q

True or false: Visually shapes are readily recognized?

A

TRUE

29
Q

True or false: area is commonly used on area charts and bubble charts?

A

TRUE

30
Q

What can color be used to show?

A

Color can be used to show categories

31
Q

What refers to different colors?

A

Hue

32
Q

What refers to the density of a given color?

A

Saturation

33
Q

What visual cues are the most accurate?

A

Position, length, angle, direction

34
Q

What visual cues are less accurate?

A

Area, volume, hue, saturation

35
Q

What coordinate system does a bar graph use?

A

Cartesian coordinate

36
Q

What coordinate system does a line graph use?

A

Cartesian coordinate

37
Q

What coordinate system does a pie chart use?

A

Polar coordinate

38
Q

What type of visualization is used where there are only a few categories?

A

Pie chart

39
Q

What type of visualization is used when the values equal 100%?

A

Pie chart

40
Q

Is temperature continuous or discrete data?

A

Continuous

41
Q

Is the number of people who graduate from A&M in the spring each year continuous or discrete data?

A

Discrete

42
Q

Is a value of 17.5 discrete or continuous?

A

Continuous

43
Q

What type of chart is helpful in visualizing project timelines?

A

Gantt chart

44
Q

What graph encodes data using height as the visual cue?

A

Histogram