1. Actors and Directors Who Cooperated At Least Three Times
  2. Ads performance
  3. Combine Two DF
  4. Employees Earning More Than Managers
  5. Duplicate Emails
  6. Customers Who Never Order
  7. Rising Temperature
  8. Game Play Analysis
  9. Game Play Analysis II
  10. Employee Bonus
  11. Find Customer Referee
  12. Cities With Completed Trades
  13. Page With No Likes
  14. Purchasing Activity By Product Type
  15. Teams Power Users
  16. Select in PySpark
  17. Merge Two Dataframes
  18. Explode
  19. Regexp for mobile numbers
  20. Skip Line While Loading Data
  21. Count Num Of Rows Where NULL is Present
  22. Handling Multiple Delimiters
  23. Solve using REGEX_REPLACE
  24. MIN-MAX Salary & Date formatting,Date in Pyspark
  25. More Date ops
  26. Date & in_list
  27. Trim & Not_in
  28. Operator in PySpark
  29. Marks As Seperate Columns
  30. Pivot and Explode Multiple Cols
  31. Count NULLs
  32. REGEXP_Extract
  33. Handling Files W & Wo Header
  34. Replacing Characters
  35. Collect List with struct
  36. From Json
  37. Find Out All Dataframes in a Spark Session
  38. Find missing numbers in the dataframe
  39. File with multiple Delims
  40. Save Multiple Columns Segregated
  41. Flatten Nested JSON
  42. Combine Multiple Lists To Form a Dataframe
  43. Find CTR
  44. User with Most Approved Flags
  45. Workers With The Highest Salaries
  46. Election Results
  47. Titanic Surv,Non-surv rprt
  48. Find Total Time in Office
  49. Read 3rd Quarter of the Dataframe