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For Excel files (via Google Drive) Databox does not enforce file size or number of cells limits. However, Google does have limits in place for their API. Google allows 10 MB file downloads and the files themselves have a 10 million cell limit. An Excel file exceeding either one of those limits will not work in Databox.
For Excel files (via One Drive), Excel (via Dropbox), and Excel File Upload, Microsoft and Dropbox APIs as well as Databox don’t enforce file and cells limits, such as those mentioned above, so it is possible to use larger files. However, the bigger the file is, the more resources it will take to process all the data from it.
Therefore, users should be aware that connecting large files can cause issues. Namely, Databox infrastructure enforces limits on how long an action can take in Metric Builder. For example, timeouts can occur if it takes too long to pull data or if too many resources (CPU/RAM) are used to load the file and calculate the metric values.
In a spreadsheet, vertical orientation means organizing data into columns, where each column represents a specific category or attribute, and individual entries or records are placed in rows within these columns. In horizontal orientation, data is organized across columns, with each column representing a unique entry or category. Specific information within those entries is then arranged vertically, with different rows containing various attributes or details for each entry.
In Databox:
Databox requires that the value in a cell is defined as a number and when a cell displays #DIV/0 (divide by zero) error, the value assigned to this in Databox is number 7.
We advise users to handle division by 0 in their sheet directly. There are multiple ways to do this, here are some examples: How to correct a #DIV/0! error How to fix the #DIV/0! error
We strongly recommend ensuring that all dates in your spreadsheet are recognized as dates—either automatically, based on locale settings, or manually by applying custom date formats that override locale settings. This approach greatly reduces the likelihood of encountering issues later on.
If a date string is not recognized by the document, Databox will attempt to validate it against common standards like ISO 8601 and RFC 2822.
We recommend adopting popular date formats, such as:
YYYY-MM-DD MM/DD/YYYY DD/MM/YYYY December 4, 2023 4 December, 2023
In this help article, you can learn how to check if a date format is properly set for the usage in Databox.
Workbook files large in size and by number of cells and using additional styles/formatting/images in worksheets can cause longer loading times in the Metric Builder. In such cases, users are advised to:
– Remove all images from the Excel file that is connected with Databox. – Split large Excel files into several smaller files and connect them separately in Databox. – Do not include custom formatting in the workbook – this includes customized fonts, bolding, adjusting the alignment, colors, etc. – Aggregate values in your Excel worksheet to decrease the file size by following these instructions. You should do this in a new workbook in order to keep an original copy of your data. This can help reduce the file size of the Excel workbook that you want to connect to Databox.
Check if the sheet/tab contains a Pivot table. Pivot Tables are currently not supported and cannot be synced with Databox, hence they will appear empty in Metric Builder.
Sometimes, spreadsheet entries contain extra spaces, which can create duplicates. For example, you might have two dimensions: ‘Closed Won’ (without a space after the ‘n’) and ‘Closed Won ‘ (with a space after the ‘n’). Although they may look identical in Databox, they will appear as two separate dimensions because the system treats spaces as characters, recognizing them as distinct entries.
Users can use the ‘Find and Replace’ feature in their spreadsheet to correct dimension names. For example, they can replace ‘Closed Won ‘ (with a space) with ‘Closed Won’ (without the space).
Only .xls and .xlsx file formats are supported in the Excel integration in Databox. If your file is in any other format, such as CSV, HTML, or text file, you can save it in .xlsx Excel format (as explained in this Microsoft article) and connect it to Databox.
To connect an Excel file in Databox, the individual file must be shared directly with the user connecting the file. Files that were shared with a user on the Folder level (inside Folders) will not be listed in Databox in the process of connecting and cannot be connected in Databox by the shared user.
There are two possible causes preventing connection of an Excel file via OneDrive in Databox.
1) Since the Excel integration in Databox supports OneDrive Personal (‘Basic’) and not OneDrive for Business (associated with Microsoft SharePoint), connecting Excel files that are stored in SharePoint is currently not supported in Databox. It is on Databox’s roadmap to enable connecting Excel files that are stored in SharePoint. You can upvote this improvement on Databox roadmap here.
2) The Excel integration in Databox supports basic OneDrive available through Microsoft Account. To connect files, the individual file must be shared directly with the user connecting the file. Files that were shared with the user on the Folder level will not be listed in Databox during the connection flow and cannot be connected in Databox by the shared user.
If the special characters ‘!’ or ‘:’ are used in the worksheet tab name of the Excel file, custom metric can not be saved or viewed because those are characters reserved for A1 notation.
This can be resolved in two ways:
1) rename the tab, so that the tab name will not use any of the two characters (!, : ), or
2) if the data from the same tab is also used in formulas in other tabs or other Excel files, duplicate / replicate the same tab as a new worksheet tab with a different name (one that does not use any of the two characters). Replication can be done by using: =, or Move / copy worksheets or worksheet data.