Final Exam Flashcards

1
Q

Why are pie charts not preffered?

A

If you use too many pieces it can make the visualization ineffective

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2
Q

Crosstab

A

like a table

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3
Q

Bar Chart

A

Column based displays
-used to compare discrete or categorical data
-show categorical data

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4
Q

Histogram

A

Column based displays
-frequency distribution of continuous variables
-present numerical data

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5
Q

What is the purpose of bins in a histogram?

A

Choice of unit and spacing on the X-Axis

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6
Q

What is a tree map

A

Multiple box map
-Display hierarchical data
-Display part to whole relationships

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7
Q

Bubble charts:

A

Bubbles
-used to make comparison between members of a categorical field

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8
Q

Continuous data

A

-Measurable and only numerical
-represented by line graph or histogram
-no gaps and can take any value within a range

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9
Q

Discrete Data

A

-clear spaces or gaps between values
-countable and can be numeric or categorical
-represented by a bar graph

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10
Q

Quantitative data

A

information that can be quantified and given a numerical value

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11
Q

Sequential

A

color is ordered from low to high

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12
Q

Diverging

A

two sequential colors with a neutral midpoint

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13
Q

Categorical

A

contrasting colors for individual comparison

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14
Q

Highlight

A

used to highlight something

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15
Q

Alert

A

used to get readers attention

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16
Q

4 D’s of storytelling

A

Define your story
Display the data
De clutter and remove any distracting junk
Direct your audience

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17
Q

Dimensions

A

Fields within the data that are usually more discrete or categorical in nature
-contain qualitative values
-affect the level of detail
-names, dates

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18
Q

Measures

A

Contain numeric quantitative values that you can measure
ex: longitude and latitude
ex: unit price and quantity

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19
Q

Green field/pills

A

measures dimensions that are continuous
-continuous field values treated as an infinite range
-ex: sum(profit) or year(date)

20
Q

Blue field/pills

A

measures fields that are discrete

21
Q

Dual axis chart/Combo chart

A

a chart that has 2 different types of charts
ex: column chart + line chart

22
Q

Boolean calculations

A

True or False statements

23
Q

Quick Table Calculations

A

allows you to apply a built in calculation to your visualization

24
Q

Trend Lines / Regression

A

Used to estimate the trend or relationship between variables

25
Reference Line
A reference line may be defined as the line based on some aggregate function which is used to draw on visualization.
26
Live vs Extracted data
Live: live connection to your data, auto updates Extracted: compressed snapshot of your data stored locally
27
Dates: discrete vs continuous
Continuous: Show how data changes over a range of time (line chart) Discrete: show a specific unit of time(bar graph)
28
Filters vs Paramters:
Filters: specific to a data source Parameters: used across entire workbook
29
Anscombe's Quartet
A set of 4 data sets that look very different when plotted, but have the same basic statisitcs
30
Moire Effect
when two patterns with similar frequencies interact with each other. -perception of movement in a solid object
31
Hermann effect
Similar to moire effect but instead of bars creating the illusion, it's squares
32
Gestalt Effect
the brain's innate organizing tendencies allow us to perceive things as organized wholes rather than individual elements (pac man triangle)
33
Motion
animated presentation of frames of data
34
Medium
The physical strata on which data is displayd
35
Context
The sensory and emotional environment
36
Structured vs Unstructured data
Structured: Excel or tableau Unstructured: Book or movie
37
Data lake
collecting and storing data in raw form
38
Data aggregation
sorting and filtering data
39
data cleaning
detecting and correcting corrupt or inaccurate information records from a data set
40
data granularity
level of detail considered in a model or represented in an analysis
41
Descriptive analytics
describe past performance and history
42
Predictive analytics
predict future trends and patterns
43
Prescriptive analytics
indicating the best decisions to make or course of action to take
44
4 Key characteristics of big data
Variety: form of data (structured vs unstructured) Veracity: uncertainty of data Volume: scale/amount of data Velocity: analysis of streaming data as it travels around the internet
45
Tooltip
show information when you hover your mouse over a datapoint in a Tableau visualization
46
T/F: To create a map in Tableau, you must drag latitude and longitude to "columns" and "rows."
False