DJM Topic 2 - Visualizing Time Series Data Flashcards

1
Q

Time series analysis

A

Visualizing the quantitative relationship through time

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2
Q

Trend

A

The overall tendency of values to increase, decrease, or remain stable over time

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3
Q

Variability

A

The average degree of change from one point to the next over time

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4
Q

Rate of change

A

Useful for comparing multiple series by considering percentage difference

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5
Q

Co-variation

A

When two time series relate, with changes in one reflected in the other

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6
Q

Cycles

A

Patterns that repeat at regular intervals like daily, weekly, or seasonally

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7
Q

Exceptions

A

Values that fall outside the norm

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8
Q

Line charts

A

Commonly used for analyzing patterns and exceptions in time series

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9
Q

Bar charts

A

Useful for emphasizing and comparing individual values

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10
Q

Dot plots

A

Good for analyzing irregular time intervals like certain days

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11
Q

Radar charts

A

Can compare cycles and spot exceptions

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12
Q

Heatmaps

A

Effective for analyzing high-volume cyclical patterns and exceptions

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13
Q

Animated scatterplots

A

Used to analyze changes in correlation over time

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14
Q

Discrete data

A

Values from specific time points with a finite number of possibilities

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15
Q

Continuous data

A

Values can be measured at any time and are constantly changing

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16
Q

Displaying discrete data

A

Can use bar charts, stacked bar charts, or dot plots

17
Q

Displaying continuous data

A

Can use line charts or step charts

18
Q

Aggregating time intervals (1)

A

Viewing data at different time intervals to see patterns

19
Q

Viewing time in context (2)

A

Examining data over a longer period of time

20
Q

Trend lines (3)

A

Enhance perception of high-level patterns, but be aware of time period used

21
Q

Missing values (4)

A

Omit from display rather than treating as zero

22
Q

Logarithmic scales and percentages (5)

A

Used to compare rates of change

23
Q

Overlapping time scales (6)

A

Used to compare cyclical patterns

24
Q

Stacking line charts (7)

A

Used to compare multiple variables in different units