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10 Pandas One-Liners Every Data Analyst Should Know

  • This gets you all rows where sales exceeded 1000. Great for segmenting high-value customers or identifying top-performing products.
  • Rename cryptic column headers to something meaningful. You will thank yourself when building dashboards or sharing code.
  • This one-liner removes redundant records in your dataset so your analysis doesn’t get skewed by uninvited clones.
  • Group by any category and instantly calculate aggregated statistics. A must-have for quick summaries and KPI tracking.

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