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Time plot and plot patterns
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Time plot and plot patterns
- A timeplot (sometimes called a time series graph) displays values against time. They are similar to x-y graphs, but while an x-y graph can plot a variety of “x” variables (for example, height, weight, age), timeplots can only display time on the x-axis. Unlike pie charts and bar charts, these plots do not have categories. Timeplots are good for showing how data changes over time. For example, this type of chart would work well if you were sampling data at random times.
horizontal
- a horizontal pattern exist when the data values fluctuate around a constant mean,
seasonal
- a seasonal pattern exists when a series is influenced by seasonal factos(the quarter of the yer, the month, or day of the week)
cylclical
- a cyclical pattern exists when the data exhibit rises and falls that are not of a fixed period.
trend
- a trend pattern exists when there is a long term increase or decrease in the data.
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- Mindmap am Time plot and plot patterns, erstellt von HANSOL JI am 02/03/2020.
- Erstellt von
- HANSOL JI · Mär 2020
- Aktualisiert
- 2 Mär 2020
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