Data consolidation depth resolution: the path from debris to unity
In routine office and data analysis, we often encounter the need to “consolidate” multiple lists or tables. Whether the comparison is made through complex formulas in Excel or manually duplicate paste, it is highly likely to generate omissions or repetitions.Smart Data MergerThis is a problem that is created to address this pain by providing a rigorous mathematical aggregation operation to match CSV.
Application of the core merge mode scenario
- Add Merge (Append): It is used to collide log files for many days, sales data for many months in simple sequences and does not involve logical filtering.
- Union: List integration device. When you have two customer lists from different sources, you can use and compile a single key to generate a single list that includes all persons and is never repeated.
- Intersection: Find common ground. For example, cross-active users who have purchased both “product A” and “product B” have been identified for precision marketing.
- Discrepancies A-B: Removes known items. You can quickly extract a potential customer that has not been contacted by means of a difference between the General List and the Contact List.
- CSV column alignment (Column Join): Specialized in structured data processing. A text containing a “name” and a text containing a “contact” are in a standard CSV format by line.
Why did you choose offline data processing?
Since data sets often contain sensitive operational information, privacy security is essential. This tool 100% Run on your browser local, data never left your computer. This approach not only guarantees absolute privacy but also uses the computational performance of local browsers, even processing tens of KiloCell of line data to give results in milliseconds.
Efficient use of recommendations
Before merging, it is suggested to tick the words "cut the line end spaces" and " ignore the blank lines". In many cases, the invisible endspace leads to the conviction of the two lines as different in the calculation. Checking out these two options would greatly improve the accuracy of data cleansing.