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Data Formatting: General Guidelines

Last Updated: Oct 18, 2017

SAVE your data as a comma-separated (CSV) spreadsheet, with each row containing a single text entry and its metadata.  

LABEL every column with the type of data/metadata it contains (see below).  Data columns without correct headers will not be processed.  


 

v4 Projects: Data & Metadata
text
This column contains your text data and is the only required data column.
 
subset or subset_[FIELD]
Label metadata columns with “subset” or “subset_[FIELD]” for those subsets belonging to groups (e.g. “subset_NPS” or “subset_Country of Origin”). Subsets can be analyzed, but not joined or intersected. You may have multiple subset columns, and up to 10,000 subsets per project.
 
date
Analyze trends and other time-based information by adding a column of date metadata to your project.  We accept most standard date formats, with the exception of the DD/MM/YYYY format.  

title
You can add a title or identifer to each piece of text data.  The title will be viewable but not analyzed with the text.  



v5 Projects: Data & Metadata
text
This column contains your text data and is the only required data column.

string_[FIELD]

Label your categorical metadata with the column header “string_[FIELD]”. The FIELD designates the metadata group (e.g. “string_Country of Origin”). You may have multiple string columns, with as many values as needed, but will only be able to filter on fields with up to 100 values.

number_[FIELD]
Label your numeric metadata with the column header “number_[FIELD]”. The FIELD designates the numeric metadata by group (e.g. “number_NPS” or “number_Customer Age”).

date_[FIELD]
Analyze trends by adding one or more columns of date metadata to your project.  We accept most standard date formats, with the exception of the DD/MM/YYYY format (commonly used in Europe).

title
You can add a title or identifer to each piece of text data.  The title will be viewable but not analyzed with the text.  

 

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