Visualisation of statistical analysis results

This process visualizes statistical analysis results, where the test value (stat.value) is plotted on the Y-axis and id are plotted on the X-axis. Bar color is determined by groups and is displayed in the legend. Bar opacity is controlled by the p-value threshold, with translucent bars representing insignificant results based on the provided p_value_threshold (R function 'barplot_trend_results').

daugava use case AquaINFRA barplot_trend_results R

Inputs
Id	Title	Data Type	Description
input_data	Input table	string	URL to the input table containing statistical analysis results. The table must include columns for test values, p-values, and group identifiers.
colname_id	Column name for identifier	string	The name of the column containing group or sample identifiers, e.g., polygon id. Example = "polygon_id"
colname_test_value	Column name for test value	string	The name of the column containing the test values (e.g., statistical coefficients) to be plotted on the Y-axis, e.g., Tau for Mann-Kendall test.
colname_p_value	Column name for p value	string	The name of the column containing p values, used to determine bar transparency. Example = "p_value"
p_value_threshold	p value threshold for significance	number	The threshold for distinguishing significant from insignificant values. It adjusts the transparency of bars in the plot. Example = "0.05"
colname_group	Column name for subgroups	string	The name of the column that defines the subgroups or categories to be displayed on the X-axis, e.g., seasons for every polygon_id.

Outputs
Id	Title	Description
barplot_image	Barplot image (DPI 300)	A high-resolution bar plot image (DPI = 300) where the Y-axis shows the test value and the X-axis shows the id and its groups. Opacity of bars is determined by the significance of the p-values based on the p_value_threshold.

Visualisation of statistical analysis results

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