Big Data Analysis with Power Pivot & Power BI - Visuals & DAX Formulas

Big Data Analysis with Power Pivot & Power BI - Visuals & DAX Formulas

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) Intro

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1 of 71

) Intro

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Big Data Analysis with Power Pivot & Power BI - Visuals & DAX Formulas

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  1. 1 ) Intro
  2. 2 ) Overview of data and visuals we will do in Power BI
  3. 3 ) Overview of SQL data and reports we will build in Power Pivot
  4. 4 ) Start of Power BI Big Data CSV file Example
  5. 5 ) Download 911 Seattle data from web site: https://data.seattle.gov/Public-Safety/Seattle-Real-Time-Fire-911-Calls/kzjm-xkqj
  6. 6 ) Power Query to Import and transform csv file
  7. 7 ) Data Source Settings
  8. 8 ) Data Modeling in Power Query: create foreign key columns in Fact Table
  9. 9 ) Remove fields not needed to make Columnar Database smaller.
  10. 10 ) Close and Apply data to Data Model
  11. 11 ) Create Date and Time Dimension Tables
  12. 12 ) copy GENERATE and ROW DAX Formula from last video to create the Data Table.
  13. 13 ) GENERATESERIES DAX Function to create Hour Dimension Table
  14. 14 ) Create Serial Number Time DAX Calculated Field
  15. 15 ) Create Hour DAX Calculated Field
  16. 16 ) Sort Hour Field by Hour ID field
  17. 17 ) Sort Month Name in Data Table by Date field
  18. 18 ) Set Hour field to NOT sum
  19. 19 ) Create Relationships
  20. 20 ) Hide fields
  21. 21 ) Mark data table as Date Table
  22. 22 ) Create DAX Measure for counting using COUNTROWS DAX Function.
  23. 23 ) Hide Foreign keys in Fact Table
  24. 24 ) Create Table Visuals to show counts
  25. 25 ) Sort fields in tables
  26. 26 ) Add Slicers
  27. 27 ) Create a Card Visual to show Measure result
  28. 28 ) Understanding Filter Context
  29. 29 ) Create DAX Measure for % of Grand Total using CALCULATE, ALL & DIVIDE functions
  30. 30 ) () Create DAX Measure for % of Filtered Grand Total using CALCULATE, ALLSELECTED and DIVIDE functions
  31. 31 ) Difference between ALL and ALLSELECTED DAX functions
  32. 32 ) “See” Filtered Total created by ALLSELECTED function
  33. 33 ) Create MAP Visual to show location of 911 calls
  34. 34 ) Create Word Cloud
  35. 35 ) ArcGIS Time Movie Map Visual
  36. 36 ) Update when new data arrives
  37. 37 ) Power BI Project conclusion
  38. 38 ) Start of Power Pivot Big Data SQL Database Example
  39. 39 ) Reporting Goal explained
  40. 40 ) SQL Database explained
  41. 41 ) Look at tables and data for project
  42. 42 ) Credentials to connect to the SQL Database
  43. 43 ) Navigator dialog box
  44. 44 ) Power Query Editor for the three SQL tables
  45. 45 ) Extra Columns from related tables
  46. 46 ) Look at Fact Table and adjust Data Types, including “Using Locale” option for dates with different settings
  47. 47 ) View Native Query inside Power Query Applied Steps to see which steps are sent back to SQL database (folding)
  48. 48 ) Load tables to Power Pivot Data Model’s Columnar Database
  49. 49 ) Create Power Pivot Date Table
  50. 50 ) Create Relationships
  51. 51 ) Create DAX Measures
  52. 52 ) Compare DAX Calculated Columns to DAX Measures.
  53. 53 ) Total Revenue Measure using SUMX DAX function
  54. 54 ) What is Revenue Discount? How to use in formula?
  55. 55 ) Use Filter Dropdown to see a unique list
  56. 56 ) What is Net Standard Cost, or Net Cost Equivalent? How to use in formula?
  57. 57 ) Total COGS Measure using SUMX DAX function
  58. 58 ) Gross Profit ($) DAX Measure
  59. 59 ) Gross Profit % DAX Measure
  60. 60 ) Average Daily Gross Profit DAX Measure. Discuss Pre-aggregating at the day grain before averaging the daily totals
  61. 61 ) Why are $ signs in Measure name, rather than using Number Formatting with dollar signs?
  62. 62 ) Hide Fields from Client Tool
  63. 63 ) Build Data Model PivotTable Gross Profit Report
  64. 64 ) Add Slicer to Data Model PivotTable
  65. 65 ) Create Line Chart to show Gross Profit over Year and Month
  66. 66 ) Create Custom Number Format in Chart
  67. 67 ) Change Chart type from Column to Line
  68. 68 ) Add series of numbers to Secondary Axis
  69. 69 ) Connect Chart to Slicer with Report Connections
  70. 70 ) Power Pivot Project Conclusion
  71. 71 ) Conclusion for whole video (both movies)

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