Time Series Data - Graphing and Analysis
Time series data is a data series sampled at a regular interval (hourly/daily/weekly/annually/etc.) over time. This type of data is widely used in fields such as finance, economics, meteorology, and engineering.
Origin supports a variety of graph types to visualize time series data, and a selection of tools for processing and analyzing such data.
Graph and Explore
Origin offers a variety of chart types. Users can easily create and customize graphs from time series data to visualize trends over time.
Time Series Plots
- Line, Column, Area ...
- Radial, Vector, Heatmap, Spiral bar...
- High-low-close, Japanese candlestick, OHLC
Time Series Explorer
The Time Series Explorer in Origin enables users to graphically explore time series data
- Lower level displays entire time series
- Set time interval for ROI using drop-down menu
- Data for chosen interval is displayed on top layer
- Use forward/backward and play buttons to flip through and explore data
Time series of hourly wind vectors
Fill area with separate above & below colors
Reduce and Process
For densely-sampled time series data, especially those spanning a long time, Origin provides tools to slice the series and extract key statistics. After seeing an overview of the data trend, users can use these tools to further prepare the data set for subsequent research of a time period of interest.
- Unstack date/time data based on time interval
- Pivot table for time series data
- Isolate periods of interest by data filter
- Extract the date components from date/time data
- Calculate the moving average based on time interval
- Calculate the statistics based on time Interval
Unstack date/time data based on time interval
Extract the date components and filter values for specific time period
Analyze and Forecast
Origin provides the following Time Series tools to help users explore, visualize, and analyze their time series data.
Trend & Decomposition
- Trend Analysis
- Time Series Decomposition
Smooth
- Moving Average
- Single Exp Smoothing
- Double Exp Smoothing
- Winter's Method
Stationary Test
Spectral Analysis
Univariate or Bivariate
- Daniell Method
- Lag Window
Correlation
- Autocorrelation
- Partial Autocorrelation
- Cross Correlation
ARIMA Model
Lag & Differences