When we work with raw data that are exported from many sources like databases, log files, or APIs we often get the output in timestamps. This is not what we want because timestamps are hard to read ...
When working with datasets in Excel, it's common to have blank cells in columns where the previous row holds the relevant value. For example, in logs, inventory lists, or form outputs. We can repeat ...
If you work with large Excel datasets, it can be overwhelming to manage everything on a single sheet. A common thing we do in this situation is to split the Excel sheet into multiple smaller sheets ...
Do you have numeric values in Excel like 1.75, 845, or 9.5 and want them to convert into readable hours and minutes? This situation often comes forth frequently in timesheets, billing systems, legacy ...
When we are working with data tables it’s a common thing to make the first row as a header. This is needed when you want to clearly identify the content of each column and additionally to enable some ...
Sometimes we need to delete filtered rows. It is a useful thing when you want to remove specific data and don’t want to affect the rest of your worksheet. This is common when cleaning large datasets ...
Google Sheets makes it easy to look up values with the VLOOKUP function. But when you combine it with a drop-down list, you can build dynamic tools like searchable menus, automated forms, and ...
Google Sheets makes it easy to sum values based on specific conditions using the SUMIF function. However, when you need to evaluate more than one condition, such as summing sales only for a certain ...
Pivot tables are a powerful tool that helps you summarize, analyze, and explore data interactively. In Google Sheets, you can use pivot tables to extract insights from large datasets without writing ...
