CSV Files are organized in rows and columns using a CSV
delimiter. A data field has a row index and column index, generally
described in a String format while it can represent a Date, a Number or
other content. Pictogram Chart handles CSV parsing, reconstruction and data
content interpretation via a set of options. In this part we will show
how Pictogram Chart meets the needs for CSV content visualization.
Kap Lab Pictogram Chart provides some extra optional properties to
provide an advanced CSV data input parsing. These properties and methods
filterPath: used to extract needed data from the CSV
csvDelimiter: used to indicate the delimiter of the CSV
file (by default it is set to ";")
withHeaders: used to indicate if the first row should
be considered as column headers (by default is set to true);
recordDelimiter: used to indicates the delimiter of a
field (if it exists). It is generally used when data field content
contains CSVDelimiter string as in such situations CSV parsing produces
wrong results. By default, the recordDelimiter property is "" and can
be modified when needed.
reportingFunction: used to transform the data fields
arrays into a real data by applying standard or custom functions.