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
Q

Reference Line

A

A reference line may be defined as the line based on some aggregate function which is used to draw on visualization.

26
Q

Live vs Extracted data

A

Live: live connection to your data, auto updates
Extracted: compressed snapshot of your data stored locally

27
Q

Dates: discrete vs continuous

A

Continuous: Show how data changes over a range of time (line chart)
Discrete: show a specific unit of time(bar graph)

28
Q

Filters vs Paramters:

A

Filters: specific to a data source
Parameters: used across entire workbook

29
Q

Anscombe’s Quartet

A

A set of 4 data sets that look very different when plotted, but have the same basic statisitcs

30
Q

Moire Effect

A

when two patterns with similar frequencies interact with each other.
-perception of movement in a solid object

31
Q

Hermann effect

A

Similar to moire effect but instead of bars creating the illusion, it’s squares

32
Q

Gestalt Effect

A

the brain’s innate organizing tendencies allow us to perceive things as organized wholes rather than individual elements (pac man triangle)

33
Q

Motion

A

animated presentation of frames of data

34
Q

Medium

A

The physical strata on which data is displayd

35
Q

Context

A

The sensory and emotional environment

36
Q

Structured vs Unstructured data

A

Structured: Excel or tableau
Unstructured: Book or movie

37
Q

Data lake

A

collecting and storing data in raw form

38
Q

Data aggregation

A

sorting and filtering data

39
Q

data cleaning

A

detecting and correcting corrupt or inaccurate information records from a data set

40
Q

data granularity

A

level of detail considered in a model or represented in an analysis

41
Q

Descriptive analytics

A

describe past performance and history

42
Q

Predictive analytics

A

predict future trends and patterns

43
Q

Prescriptive analytics

A

indicating the best decisions to make or course of action to take

44
Q

4 Key characteristics of big data

A

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
Q

Tooltip

A

show information when you hover your mouse over a datapoint in a Tableau visualization

46
Q

T/F: To create a map in Tableau, you must drag latitude and longitude to “columns” and “rows.”