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Last updated: May 01, 2024
Time plots illustrate data points at successive intervals of time. The time series you
plot must contain numeric values and are assumed to occur over a range of time in which the periods
are uniform. Time plots provide a preliminary analysis of the characteristics of time series data on
basic statistics and test, and thus generate useful insights about your data before modeling. Time
plots include analysis methods such as decomposition, augmented Dickey-Fuller test (ADF),
correlations (ACF/PACF), and spectral analysis.
Creating a simple time plot
- In the Chart Type section, click the Time plot
icon.
The canvas updates to display a time plot chart template.
- From the Values drop-down, select a value for the y-axis.
- Click the Save visualization in the project control. Select Create a new asset or Append to existing asset. Provide a Visualization asset name, an optional description, and a chart name.
- Click Apply to save the visualization to the project. The new visualization asset is now available on the Assets tab.
Options
- Values
- Lists variables that are available for the time plot values.
- Date
- Select a date from the drop-down, if applicable. Each observation is separated by the same time interval. If you select a date variable, a resample option is shown. You can use this option to aggregate value fields to match the specified interval.
- Time plot algorithm
- The time plot algorithm to use for analyzing the time series data.
- Decomposition
- Decompose a time series as three components (trend-cycle, seasonal, and irregular). Decomposition is run in an additive fashion.
- ADF test
- Augmented Dickey–Fuller (ADF) tests the null hypothesis that a unit root exists in the series and the series is not stationary. If the test result rejects the null hypothesis, the series is stationary, or can be represented to be stationary with a difference model.
- ACF/PACF
- Correlations of series.
- Spectral analysis
- An analytic tool in the frequency domain. The highest frequency is marked as diamond.
- Swap chart position
- Reverses the positions of the charts on the planimetric rectangular coordinate system and the polar coordinate system.
- Show the turning point
- Shows or hides the turning points in the charts. The series is explored to determine whether it has an overall trend or has some turning points that change the direction of the trend pattern.
- Show the outlier
- Shows or hides any outliers. The outliers of the time series are analyzed from the irregular component of time series decomposition.
- Primary title
- The chart title.
- Subtitle
- The chart subtitle.
- Footnote
- The chart footnote.
- XAxis label
- The x-axis label.
- YAxis label
- The y-axis label.
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