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tablecloth.api.aggregate
aggregateclj
(aggregate ds aggregator)(aggregate ds
aggregator
{:keys [default-column-name-prefix ungroup? parallel?]
:or {default-column-name-prefix "summary" ungroup? true}
:as options})Aggregate dataset by providing:
- aggregation function
- map with column names and functions
- sequence of aggregation functions
Aggregation functions can return:
- single value
- seq of values
- map of values with column names
Aggregate dataset by providing: - aggregation function - map with column names and functions - sequence of aggregation functions Aggregation functions can return: - single value - seq of values - map of values with column names
aggregate-columnsclj
(aggregate-columns ds columns-aggregators)(aggregate-columns ds columns-selector column-aggregators)(aggregate-columns ds columns-selector column-aggregators options)Aggregates each column separately
Aggregates each column separately
crosstabclj
(crosstab ds row-selector col-selector)(crosstab ds row-selector col-selector options)Cross tabulation of two sets of columns.
Creates grouped dataset by [row-selector, col-selector] pairs and calls aggregation on each group.
Options:
- pivot? - create pivot table or just flat structure (default: true)
- replace-missing? - replace missing values? (default: true)
- missing-value - a missing value (default: 0)
- aggregator - aggregating function (default: row-count)
- marginal-rows, marginal-cols - adds row and/or cols, it's a sum if true. Can be a custom fn.
Cross tabulation of two sets of columns. Creates grouped dataset by [row-selector, col-selector] pairs and calls aggregation on each group. Options: * pivot? - create pivot table or just flat structure (default: true) * replace-missing? - replace missing values? (default: true) * missing-value - a missing value (default: 0) * aggregator - aggregating function (default: row-count) * marginal-rows, marginal-cols - adds row and/or cols, it's a sum if true. Can be a custom fn.
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