Prepare the Data Before Plotting
We first check time references, units, coordinates, sampling intervals, gaps, and outliers. Comparisons between observations need a clear account of the conditions under which they can be compared. Differences between source and processed data also matter for interpretation.
Choose a Figure for the Question
Time series help examine timing, maps show spatial distribution, and spectra reveal periodicity. Comparison plots help identify shared features and differences between datasets.
Axis ranges, colors, baselines, and annotations should serve the research question as well. Visual appeal alone is not enough if the conditions of the comparison are unclear.
Read Figures with Their Processing Conditions
Smoothing, aggregation, normalization, and interpolation can change the impression a figure gives. Source data, target intervals, and processing settings accompany explanations of axes, units, symbols, and gaps. A single figure cannot by itself establish cause or impact.
Make Outputs Reviewable and Reusable
Captions, figure versions, generation dates, and related analysis records help when a figure is reused in papers, presentations, workshops, or web explanations. Sources and usage terms also need to remain available.
See Research Support for help with data preparation and figures. Please include the dataset and intended use when making an inquiry.