Handbook · Reference · Blockly · Statistics

Blockly: Statistics

Where in the UI. Scripts tab toolbox.

Plots, series, summaries, regression, FFT helpers.

Block id	Read as	Purpose
`containd_open_statistics`	open statistics	basic mode
`containd_open_statistics_item_field`	open statistics item field	item-field mode
`containd_open_statistics_category_property`	open statistics category property	category-property mode
`containd_plot_series_item`	plot series item	Build a from-lists series item { id, yList, label?, color?, yAxis }
`containd_compute_plot_from_lists`	compute plot from lists	from-lists sugar → series: [{ id: 'y', yList }] → result object
`containd_compute_plot_from_lists_multi`	compute plot from lists multi	from-lists multi-series (line/scatter/timeline) → result object
`containd_show_plot_from_lists`	show plot from lists	compute from-lists sugar and present
`containd_show_plot_from_lists_multi`	show plot from lists multi	compute from-lists multi-series and present
`containd_show_plot_result`	show plot result	show precomputed result object
`containd_show_plot_table_column`	show plot table column	extractTableColumn + showPlot(from-lists) — opens statistics results for the column
`containd_show_plot_table_columns_xy`	show plot table columns xy	extractTableColumn for X and Y + showPlot(from-lists) — equal-length lists required
`containd_list_available_data_sources`	list available data sources	callHost(listAvailableDataSources) → array of catalog descriptors (DEC-076).
`containd_get_data_series`	get data series	callHost(getDataSeries) → series object for one catalog sourceId.
`containd_get_data_source`	get data source	callHost(getDataSource) → catalog descriptor for one sourceId (DEC-076).
`containd_data_series_x_list`	data series x list	Read .xList from a getDataSeries result.
`containd_data_series_y_list`	data series y list	Read .yList from a getDataSeries result.
`containd_data_series_source_id`	data series source id	Read .sourceId (string) from a listAvailableDataSources descriptor.
`containd_data_source_label`	data source label	Read .label (string) — human display name for listView / plot title.
`containd_data_source_prop`	data source prop	Read one field from a listAvailableDataSources descriptor (DEC-076).
`containd_list_sum`	list sum	sum of finite numeric list values
`containd_list_mean`	list mean	mean of finite numeric list values
`containd_list_median`	list median	median of finite numeric list values
`containd_list_std_dev`	list std dev	sample standard deviation
`containd_list_range`	list range	{ min, max } object
`containd_list_min`	list min	callHost(listMin) → [value, index]
`containd_list_max`	list max	callHost(listMax) → [value, index]
`containd_list_asort`	list asort	callHost(listAsort) → [sortedValues[], indices[]]
`containd_list_unique`	list unique	callHost(listUnique) → [uniqueValues[], indices[]]
`containd_list_values_indices_values`	list values indices values	Index 0 of an asort/unique result [values[], indices[]].
`containd_list_values_indices_indices`	list values indices indices	Index 1 of an asort/unique result [values[], indices[]] — original 0-based positions.
`containd_list_five_number_summary`	list five number summary	[min, Q1, median, Q3, max]
`containd_list_correlation`	list correlation	{ r, p, n } Pearson correlation
`containd_list_correlation_r`	list correlation r	Pearson r coefficient
`containd_list_correlation_p`	list correlation p	two-tailed p-value
`containd_list_cross_correlation`	list cross correlation	correlation values list (-maxLag…+maxLag); leave max lag empty for full range
`containd_list_cross_correlation_lags`	list cross correlation lags	lag index list matching the values list
`containd_list_interpolate`	list interpolate	resample y1 onto x2 → y2; empty list if cannot interpolate
`containd_list_overlap_range`	list overlap range	[start, end] or empty list if no overlap
`containd_list_correlate_series`	list correlate series	[r, p, xFirst, xLast, n] or empty list if insufficient data
`containd_list_t_test`	list t test	independent two-sample Student t { t, p, df, n1, n2 }
`containd_list_t_test_paired`	list t test paired	paired Student t { t, p, df, n }
`containd_list_t_test_one_sample`	list t test one sample	one-sample Student t { t, p, df, n }
`containd_list_linear_regression`	list linear regression	{ slope, intercept, r2, r, p, n }
`containd_list_linear_regression_slope`	list linear regression slope	.slope
`containd_list_linear_regression_intercept`	list linear regression intercept	.intercept
`containd_list_linear_regression_r2`	list linear regression r2	.r2
`containd_list_linear_regression_r`	list linear regression r	.r
`containd_list_linear_regression_p`	list linear regression p	.p
`containd_list_cumulative_sum`	list cumulative sum	running sum (non-finite → NaN gap)
`containd_list_moving_average`	list moving average	forward or filtfilt bidirectional
`containd_list_convolve`	list convolve	FIR folding; same (default) or full
`containd_list_reverse`	list reverse	shallow reverse of any list
`containd_list_transpose`	list transpose	rows→columns; ragged pads null; scalars = 1-cell rows
`containd_list_dft`	list dft	[magnitude[], phaseRadians[]]
`containd_list_fft`	list fft	zero-pad to power of 2 → [magnitude[], phaseRadians[]]
`containd_list_idft`	list idft	spectrum [mag[], phase[]] → real time series
`containd_list_ifft`	list ifft	power-of-2 spectrum [mag[], phase[]] → real time series
`containd_list_spectrum_magnitude`	list spectrum magnitude	Index 0 of [magnitude[], phase[]] spectrum list
`containd_list_spectrum_phase`	list spectrum phase	Index 1 of [magnitude[], phase[]] spectrum list (radians)