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Pandas GroupBy & Aggregation Practice with Built-In Visualizer
Master pandas groupby(), agg(), transform(), and named aggregation with real company-style datasets. Practice multi-column grouping, custom aggregation functions, and pivot tables. The built-in Python Visualizer shows you how your DataFrame collapses through each groupby operation.
90
Python Problems
Difficulty Breakdown
90 problems19 Easy(21%)
38 Medium(42%)
33 Hard(37%)
0 Expert(0%)
Skills You'll Practice
60 skillsadtechaggaggregationavgbankingcomputed columncountcustomer analyticsderived ratiodistinct countdropnafillnafilterfilteringfintechfood deliverygroupbyhavinghealthcareidxmaxinner joinlambdaleft joinlodginglogisticsmaxmeanmergeminmobilitymulti aggmulti column groupbymulti step pipelinemulti tablemultiple aggregationsmultiple columnsnamed aggnuniquepaymentspercentageprice analysisreal estaterenamereset indexretailroundsaassingle tablesizesocialsort valuesstreamingsumtelecomthree tabletop per grouptransformtwo tablevalue countswindow like
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