Chapter 10 Flashcards

1
Q

Values of two variables, each plotted on its own axis to exhibit possible correlation

A

scatter plot

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2
Q

The number of observations in one particular category divided by the grand total of observations.

A

proportion

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3
Q

general direction something is going

A

trend

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4
Q

numerical data with an equal and definitive ration between each point and absolute”zero” is the point of origin

A

ratio data

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5
Q

observation taken on a variable at different points in time

A

time series data

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6
Q

brief summaries (or factoids) of a dataset that provide a representation of the dataset as a whole

A

descriptive statistics

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7
Q

what data visualization should you use for the trend of N.I over the past 5 years

A

bar/line chart

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8
Q

what data visualization should you use for emphasizing proportions

A

pie chart

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9
Q

what data visualization should you use for ratio data (data emphasizing zero)

A

bar/line chart

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10
Q

what data visualization should you use for numerical data

A

bar/line chart

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11
Q

what data visualization should you use for a companies sales versus sales returns

A

bar/line chart

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12
Q

what data visualization should you use for categorical data

A

pie chart

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13
Q

what type of data analytics is a scatter plot

A

diagnostic or predictive

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14
Q

what type of data analytics is time series data

A

predictive

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15
Q

what type of data is tables displaying sensitivity analysis

A

prescriptive

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16
Q

what type of data is pie charts

A

descriptive

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17
Q

what type of data is a breakeven graph

A

prescriptive

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18
Q

what type of data is a line and bar chart

A

descriptive

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19
Q

what type of data is a box plot

A

diagnostic

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20
Q

what type of data is a histogram

A

descriptive

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21
Q

Line charts should only be shown in ________ order to emphasize ________

A

chronological, trend

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22
Q

Pie charts lend themselves well to _________ data showing proportions.

A

categorical

23
Q

____________ are observations on values taken on by a variable at different points in time.

A

time series data

24
Q

_________ are brief summaries (or factoids) of a dataset that provide a representation of the dataset as a whole.

A

descriptive stats

25
Q

________ show values of two variables each plotted on its own axis to exhibit potential ________

A

scatterplots, correlation

26
Q

correlations, scatter plots, regression results, and time series analysis are generally associated with _________ analytics

A

predictive

27
Q

diagnostic analytics includes which type of visualization

A. box plots
B. scatter plots
C. pivot charts
D. time series

A

box plots

28
Q

Scatter plots are more meaningful if they include a _______.

A

trend line

29
Q

An outlier showing on a box plot will typically appear ________ the maximum or minimum value within the expected range.

A

outside

30
Q

Accounting figures and money are most likely to be shown as __________

A

ratio data

31
Q

horizontal axis

A

typically used for labels

32
Q

vertical axis

A

usually used for values (aggregated sum or average of what we are measuring)

33
Q

scale

A

the scale by which the values are measured

34
Q

tick marks

A

increments of the scale that are listed on the vertical axis

35
Q

data series

A

every observation in a chart, represents raw data visually

36
Q

data points

A

each data series is made up of individual data points

37
Q

What is typically captured on the vertical axis in a data visualization?

A

values

38
Q

What is typically captured on the horizontal axis in a data visualization?

A

Labels for categorical data

39
Q

What is bar charts useful for

A

time series data

40
Q

How must time series data be listed

A

chronological order

41
Q

line charts are useful for

A

communicating trends

42
Q

what are pie charts good for?

A

categorical data and showing proportions

43
Q

pie charts are rarely used if there are more than how many categories

A

4

44
Q

pie charts are bad for…

A

time series data

45
Q

What charts are the best for showing data over time

A

line or bar charts

46
Q

what are dashboards good for

A

showing multiple visualizations in one place

47
Q

what are histograms

A

type of bar chart but instead of representing categories they represent bins or intervals

48
Q

Does histograms give you categorical data?

A

no only numerical data

49
Q

Difference between bar charts and histograms when it comes to data shown?

A

Bar charts show a variety of descriptive stats (avg, count, total) where histograms show just counts

50
Q

what are histograms useful for

A

showing frequency of groups of data

51
Q

why are outliers and anomalies important

A

show if something stand out and are part of diagnostic analytics

52
Q

what are the two ways anomalies and outliers can be addressed

A

“eye ball” the data or construct a box plot

53
Q
A