While Datawunder can work with all types of spreadsheet content, it is – by nature of its coding – more suited to some types than others. This is related to the way Datawunder groups similar or identical sets of data.
Therefore, datasets with frequently repeated values are obviously more suitable for Datawunder to work with. As such, logs/log files and pre-dominantly text-based files are inherently tailored to work with Datawunder.
On the other hand, spreadsheets with a lot of individual or distinct values, while still usable by Datawunder – will not provide the same clarity or brevity that Datawunder aims for. In fact, the reverse is probably true – Datawunder will appear infinitely more cluttered in such a scenario.
Datawunder will also be of more value when used with larger spreadsheets i.e. those above 100 rows/20,000 records. This is where Datawunder’s grouping function really comes into play.
Similarly, spreadsheets with inbuilt statistical functions or mathematical formulas and data charts will work with Datawunder, but it is uncertain what ‘value’ the user will derive from this.
Bottom line: using the right type of spreadsheet can make a world of difference to the overall Datawunder experience!
