Extracts the cell value of the specified ID, starting from zero. The extracted cell string can be stored not only in the String-type data but also in the Numeric-type, Date-type, Datetime-type, Select-type, User-type, and Org-type data.
Duplicates File-type data. All files stored in Data Item A1 (Original Files) will be copied over to Data Item B1 (Clone Files). Also possible to change the file name or Content-Type. If the same Data Item is specified as A1 and B1, overwritten.
Narrows TSV text to column matched rows only. A regular expression (RegExp) can be specified as the match condition, and the column value is matched for each row. It is also possible to store excluded rows (filtered rows).
Filters TSV text to column-matched lines only. The match condition can be either “equals”, “contains”, “begins with”, or “ends with”. A case-insensitive filter can also be specified. It is also possible to separately store the excluded rows (filtered rows).
Converts text files charset (Coded Character Set). For example, converts UTF-8 encoding to Shift_JIS or UTF-16. If multiple files are attached, all will be converted according to the same rules.
Extracts and deletes rows with duplicate column elements. In forward mode it keeps the first row, in reverse mode it keeps the last row. Note that “ABC” and “Abc” are recognized as different columns. (case sensitive)
Checks for the existence of string elements in the list that match the search string.
Converts the date data in the specified column to yyyy-MM or yyyy format and appends the value to the end of all lines.
This item overwrites the value of a Table type data item with a contents of an Excel compatible CSV file (TSV UTF-16 LE with BOM) stored in a File type data item.
This item stores the values in a Table type data item into a File type data item as an Excel compatible CSV. It does not affect existing files. Just add.
Deletes rows in the specified range. Existing cells will be shifted upward. Both the start and end rows are specified by zero-based index. For example, “startIndex: 0, endIndex: 1” means only the first line. (End index is exclusive)
Extracts process data as a multiline TSV string from local or remote workflow platform via API. Field-Items are specified in CSV format such as “string:0,date:2,select:3”. Range is specified by date: Start Date, End Date, or any date type.
Detects numbers with more than three digits in the text and adds thousand separators to each number. A comma, dot, or space can be specified as the digit separator. Note that this replacement will also be applied to decimals, postal codes and years.
Converts a multiline string to a CSV string. Converts each row of a multiline string as the value of each cell in the CSV. If commas are included they will be deleted in advance. Lines with only line feed code are recognized as empty data.
Sums the values in the numeric column in the TSV. If the numeric field contains commas, they will be removed and then parsed. If you need to add up for each key, use “Summary tabulation” or “Cross tabulation”.
Extracts process data that match the specified saved filter. Stores the extracted data list as a TSV string. The filter is specified by ReportID which must be saved in the target platform in advance.
Aggregates the count of data by 2 aggregation-key columns: Pivot table. Count and Percentage are tabulated as a cross table TSV. Eg, Survey Results TSV is automatically generated from Survey Records TSV. 2D frequency distribution.
Aggregates the count of data by aggregation-keys. Count and Percentage are tabulated as a summary table TSV. Eg, Survey Results TSV is automatically generated from Survey Records TSV. Frequency distribution.
Switches the row and column indices of the rectangle TSV. The output matrix (Transposed Matrix) is obtained by changing cell(x,y) to (y,x). Used for data arrangement for frequency distribution tables and histograms.
Aggregates the values in a numeric column by 2 aggregation-key columns: Pivot table. Sum, Percentage, Count and Average are tabulated as a cross table TSV. Eg, “Sales for each combination of Client-Y and Store-X” is aggregated from “Sales log TSV”.
Aggregates the values in a numeric column by aggregation-keys. Sum, Percentage, Count and Average are tabulated as a summary table TSV. For example, “Sales for each client” is aggregated from “Sales log TSV”. Grand Total Tabulation.