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Visualising Time: A Compendium of Time Series Plots

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Abstract

Graphs are important for highlighting relationships within a data series or across several series. Modern computer software has provided flexibility in the construction of graphic displays that would have been impossible with the tools that were available to researchers only a few decades ago. This article illustrates a variety of different graphical presentations for time ordered or time series data that can now be constructed. These include time series plots, bar charts, range plots, radar charts, scatter plots, heat maps and seasonality plots. For each graph type presented, we discuss the best practice for their construction.

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  • Joe Hirschberg & Jenny Lye, 2020. "Visualising Time: A Compendium of Time Series Plots," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 53(2), pages 270-291, June.
    • Handle: RePEc:bla:ausecr:v:53:y:2020:i:2:p:270-291
    DOI: 10.1111/1467-8462.12374
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    References listed on IDEAS

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    1. Watson, Mark W. & Stock, James H., 2014. "Estimating turning points using large data sets," Scholarly Articles 33192198, Harvard University Department of Economics.
    2. Michael N. Mitchell, 2022. "A Visual Guide to Stata Graphics, 4th Edition," Stata Press books, StataCorp LLC, number vgsg, August.
    3. Ibrahim Demir & Robert D. Tollison, 2015. "Graphs in Economics," Economics Bulletin, AccessEcon, vol. 35(3), pages 1834-1847.
    4. Stock, James H. & Watson, Mark W., 2014. "Estimating turning points using large data sets," Journal of Econometrics, Elsevier, vol. 178(P2), pages 368-381.
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