- Challenge: What is the problem or issue that you're attempting to solve?
If you work with data that generally starts with instructions and details about data then followed with the actual data. You would always start importing data at a specific row. But sometimes data does not always starts at that row and workflow fails.
- Solution: How does your workflow, app, package, etc. solve the challenge?
This macro uses statistics to find the uniformity in your data, so the uploaded data will be uniform only in the actual data table, and it will have other rows are outliers to this uniformity. I have built this macro to find this uniformity and pick the data accordingly.
- Value: What value did your solution bring to you or your company?
This helps in dealing with unexpected import row changes. Users can be assured that the data will always be picked correctly.
This macro may not work if your data is not structured properly. Since it is based on statistics, if your data is not tabular and sufficient enough, it may throw off the statistical calculations.
