Day 17 of
#DataAnalystJourney
While studying Power Query today, I finally understood the difference between Append and Merge — two operations that sound similar but serve completely different purposes.
Append stacks datasets with the same structure on top of each other. An example is combining 10 months of job postings from different sheets/tables into one clean table. While,
Merge joins two different datasets using a common column. Just like linking a salary table to a skills table using a shared Job ID Column.
What made this click for me was understanding the row counts before merging. One table had ~32,000 rows. The other had ~167,000.
Knowing that upfront helped me anticipate how different join types would affect the final output. Without that awareness, unexpected nulls or duplicate rows can quietly distort your analysis.
Data work isn't just about writing the right steps, it's about understanding what your data looks like before and after each transformation.
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