### MSPTDA 18: DAX Iterators, Table Functions, Grain, Cardinality, Materializing Tables Excel & Power BI

http://bit.ly/2SnL4fe
Zipped Folder with data that was already loaded into previous file: http://bit.ly/2Ax85FJ
http://bit.ly/2AnzlpP
http://bit.ly/2SnL5Qk
Zipped Folder with data that was already loaded into previous file: http://bit.ly/2AkF9Aw
http://bit.ly/2StC4oX
http://bit.ly/2ApVN1D
http://bit.ly/2SnL6nm

pdf Notes: http://bit.ly/2Aox3GY
Assigned Homework:
http://bit.ly/2Ah6cN9
Examples of Finished Homework:
http://bit.ly/2SnKWfK
http://bit.ly/2Ah6eof

This video teaches you about the power and pitfalls of DAX Iterator Functions and DAX Table Functions in Excel Power Pivot and in Power BI.
Comprehensive Microsoft Power Tools for Data Analysis Class, BI 348, taught by Mike Girvin, Excel MVP and Highline College Professor.

Topics:
1. (00:15) Introduction
2. (00:31) Summary of what we know so far in class about Iterators and Table Functions
3. (01:38) Summary of what we will learn in this video about Iterators and Table Functions
4. (02:51) What does DAX stand for? Data Analysis eXpressions
5. (03:36) Introduction to Iterator Functions
6. (04:51) Learn how Iterators Work using SUMX & AVERAGEX Iterating Over Fact Table at Transaction Grain
7. (08:24) Be Careful of Context Transition & Iterating over a Fact Table that “Materialize” Unnecessary Tables.
8. (11:14) DAX Studio to Time DAX Formulas. Including how to use the ROW DAX Function to help time Measures.
9. (18:55) Create PivotTable with Measures and see that the Measure that has to materialize a Fact Table for each row in the iteration takes a LONG time to calculate in a PivotTable.
10. (19:49) Power BI Example of “Double Count” Problem with Context Transition. Be Careful of Context Transition & “Double Count” Problem. Solutions #1: Use Formula rather than Measure.
11. (25:07) Solution #2: Use Power Query to add Primary Key can fix the problem also.
12. (26:11) AVERAGEX at Day Grain use dDate Table. We want Context Transition in this formula and we will Never have the “Double Count” problem because dDate Table has no duplicates.
13. (27:37) Grain of Fact Table or Iterator.
14. (30:18) AVERAGEX at Month Grain with VALUES(Column)
15. (30:18) Introduction to idea that we need DAX Table functions like VALUES to help create the correct Grain for Tables that we can use in Iterator Functions.
16. (31:35) VALUES DAX Function
17. (33:17) DAX Studio to Visualize or Materialize Tables
18. (33:48) CROSSJOIN DAX Function.
19. (35:05) CONCATENATEX and VALUES to list values in the Current Filter Context
20. (40:15) AVERAGEX at Month Grain with CROSSJOIN(VALUES(Column),VALUES(Column))
21. (41:30) Can we reduce “Cardinality”? Try not to Iterate over Fact Table. Alternative Formula for Total Revenue in Power BI Example. Timing formulas in DAX Studio.
22. (48:20) Time DAX Measures from Power BI with DAX Studio.
23. (50:20) Closer look at ALL and VALUES DAX Functions. Discuss the Blank Row that shows up from unmatched item in a relationship.
24. (55:21) Compare and Contrast ALL and VALUES.
25. (56:10) DISTINCT and ALLNOBLANKROW DAX Functions.
26. (57:23) Look at other DAX Table Functions.
27. (58:15) Discussion of FILTER DAX Table Function and CALCULATETABLE DAX Table Function
28. (01:01:00) Look at ADDCOLUMNS DAX Function.
29. (01:01:30) Excel Existing Connections to pull data from Data Model into Excel Sheet.
30. (01:02:54) DAX VALUES Function to pull a variable from an Excel Sheet into the Data Model.
31. (01:05:05) Summary

### MSPTDA 18: DAX Iterators, Table Functions, Grain, Cardinality, Materializing Tables Excel & Power BI

http://bit.ly/2SnL4fe
Zipped Folder with data that was already loaded into previous file: http://bit.ly/2Ax85FJ
http://bit.ly/2SnL5ji
http://bit.ly/2AnzlpP
http://bit.ly/2SnL5Qk
Zipped Folder with data that was already loaded into previous file: http://bit.ly/2AkF9Aw
http://bit.ly/2StC4oX
http://bit.ly/2ApVN1D
http://bit.ly/2SnL6nm

pdf Notes: http://bit.ly/2Aox3GY
Assigned Homework:
http://bit.ly/2Ah6cN9
Examples of Finished Homework:
http://bit.ly/2SnKWfK
http://bit.ly/2Ah6eof

This video teaches you about the power and pitfalls of DAX Iterator Functions and DAX Table Functions in Excel Power Pivot and in Power BI.
Comprehensive Microsoft Power Tools for Data Analysis Class, BI 348, taught by Mike Girvin, Excel MVP and Highline College Professor.

Topics:
1. (00:15) Introduction
2. (00:31) Summary of what we know so far in class about Iterators and Table Functions
3. (01:38) Summary of what we will learn in this video about Iterators and Table Functions
4. (02:51) What does DAX stand for? Data Analysis eXpressions
5. (03:36) Introduction to Iterator Functions
6. (04:51) Learn how Iterators Work using SUMX & AVERAGEX Iterating Over Fact Table at Transaction Grain
7. (08:24) Be Careful of Context Transition & Iterating over a Fact Table that “Materialize” Unnecessary Tables.
8. (11:14) DAX Studio to Time DAX Formulas. Including how to use the ROW DAX Function to help time Measures.
9. (18:55) Create PivotTable with Measures and see that the Measure that has to materialize a Fact Table for each row in the iteration takes a LONG time to calculate in a PivotTable.
10. (19:49) Power BI Example of “Double Count” Problem with Context Transition. Be Careful of Context Transition & “Double Count” Problem. Solutions #1: Use Formula rather than Measure.
11. (25:07) Solution #2: Use Power Query to add Primary Key can fix the problem also.
12. (26:11) AVERAGEX at Day Grain use dDate Table. We want Context Transition in this formula and we will Never have the “Double Count” problem because dDate Table has no duplicates.
13. (27:37) Grain of Fact Table or Iterator.
14. (30:18) AVERAGEX at Month Grain with VALUES(Column)
15. (30:18) Introduction to idea that we need DAX Table functions like VALUES to help create the correct Grain for Tables that we can use in Iterator Functions.
16. (31:35) VALUES DAX Function
17. (33:17) DAX Studio to Visualize or Materialize Tables
18. (33:48) CROSSJOIN DAX Function.
19. (35:05) CONCATENATEX and VALUES to list values in the Current Filter Context
20. (40:15) AVERAGEX at Month Grain with CROSSJOIN(VALUES(Column),VALUES(Column))
21. (41:30) Can we reduce “Cardinality”? Try not to Iterate over Fact Table. Alternative Formula for Total Revenue in Power BI Example. Timing formulas in DAX Studio.
22. (48:20) Time DAX Measures from Power BI with DAX Studio.
23. (50:20) Closer look at ALL and VALUES DAX Functions. Discuss the Blank Row that shows up from unmatched item in a relationship.
24. (55:21) Compare and Contrast ALL and VALUES.
25. (56:10) DISTINCT and ALLNOBLANKROW DAX Functions.
26. (57:23) Look at other DAX Table Functions.
27. (58:15) Discussion of FILTER DAX Table Function and CALCULATETABLE DAX Table Function
28. (01:01:00) Look at ADDCOLUMNS DAX Function.
29. (01:01:30) Excel Existing Connections to pull data from Data Model into Excel Sheet.
30. (01:02:54) DAX VALUES Function to pull a variable from an Excel Sheet into the Data Model.
31. (01:05:05) Summary

### MSPTDA 18: DAX Iterators, Table Functions, Grain, Cardinality, Materializing Tables Excel & Power BI

http://bit.ly/2SnL4fe
Zipped Folder with data that was already loaded into previous file: http://bit.ly/2Ax85FJ
http://bit.ly/2SnL5ji
http://bit.ly/2AnzlpP
http://bit.ly/2SnL5Qk
Zipped Folder with data that was already loaded into previous file: http://bit.ly/2AkF9Aw
http://bit.ly/2StC4oX
http://bit.ly/2ApVN1D
http://bit.ly/2SnL6nm

pdf Notes: http://bit.ly/2Aox3GY
Assigned Homework:
http://bit.ly/2Ah6cN9
Examples of Finished Homework:
http://bit.ly/2SnKWfK
http://bit.ly/2Ah6eof

This video teaches you about the power and pitfalls of DAX Iterator Functions and DAX Table Functions in Excel Power Pivot and in Power BI.
Comprehensive Microsoft Power Tools for Data Analysis Class, BI 348, taught by Mike Girvin, Excel MVP and Highline College Professor.

Topics:
1. (00:15) Introduction
2. (00:31) Summary of what we know so far in class about Iterators and Table Functions
3. (01:38) Summary of what we will learn in this video about Iterators and Table Functions
4. (02:51) What does DAX stand for? Data Analysis eXpressions
5. (03:36) Introduction to Iterator Functions
6. (04:51) Learn how Iterators Work using SUMX & AVERAGEX Iterating Over Fact Table at Transaction Grain
7. (08:24) Be Careful of Context Transition & Iterating over a Fact Table that “Materialize” Unnecessary Tables.
8. (11:14) DAX Studio to Time DAX Formulas. Including how to use the ROW DAX Function to help time Measures.
9. (18:55) Create PivotTable with Measures and see that the Measure that has to materialize a Fact Table for each row in the iteration takes a LONG time to calculate in a PivotTable.
10. (19:49) Power BI Example of “Double Count” Problem with Context Transition. Be Careful of Context Transition & “Double Count” Problem. Solutions #1: Use Formula rather than Measure.
11. (25:07) Solution #2: Use Power Query to add Primary Key can fix the problem also.
12. (26:11) AVERAGEX at Day Grain use dDate Table. We want Context Transition in this formula and we will Never have the “Double Count” problem because dDate Table has no duplicates.
13. (27:37) Grain of Fact Table or Iterator.
14. (30:18) AVERAGEX at Month Grain with VALUES(Column)
15. (30:18) Introduction to idea that we need DAX Table functions like VALUES to help create the correct Grain for Tables that we can use in Iterator Functions.
16. (31:35) VALUES DAX Function
17. (33:17) DAX Studio to Visualize or Materialize Tables
18. (33:48) CROSSJOIN DAX Function.
19. (35:05) CONCATENATEX and VALUES to list values in the Current Filter Context
20. (40:15) AVERAGEX at Month Grain with CROSSJOIN(VALUES(Column),VALUES(Column))
21. (41:30) Can we reduce “Cardinality”? Try not to Iterate over Fact Table. Alternative Formula for Total Revenue in Power BI Example. Timing formulas in DAX Studio.
22. (48:20) Time DAX Measures from Power BI with DAX Studio.
23. (50:20) Closer look at ALL and VALUES DAX Functions. Discuss the Blank Row that shows up from unmatched item in a relationship.
24. (55:21) Compare and Contrast ALL and VALUES.
25. (56:10) DISTINCT and ALLNOBLANKROW DAX Functions.
26. (57:23) Look at other DAX Table Functions.
27. (58:15) Discussion of FILTER DAX Table Function and CALCULATETABLE DAX Table Function
28. (01:01:00) Look at ADDCOLUMNS DAX Function.
29. (01:01:30) Excel Existing Connections to pull data from Data Model into Excel Sheet.
30. (01:02:54) DAX VALUES Function to pull a variable from an Excel Sheet into the Data Model.
31. (01:05:05) Summary

### MSPTDA 18: DAX Iterators, Table Functions, Grain, Cardinality, Materializing Tables Excel & Power BI

http://bit.ly/2SnL4fe
Zipped Folder with data that was already loaded into previous file: http://bit.ly/2Ax85FJ
http://bit.ly/2SnL5ji
http://bit.ly/2AnzlpP
http://bit.ly/2SnL5Qk
Zipped Folder with data that was already loaded into previous file: http://bit.ly/2AkF9Aw
http://bit.ly/2StC4oX
http://bit.ly/2ApVN1D
http://bit.ly/2SnL6nm

pdf Notes: http://bit.ly/2Aox3GY
Assigned Homework:
http://bit.ly/2Ah6cN9
Examples of Finished Homework:
http://bit.ly/2SnKWfK
http://bit.ly/2Ah6eof

This video teaches you about the power and pitfalls of DAX Iterator Functions and DAX Table Functions in Excel Power Pivot and in Power BI.
Comprehensive Microsoft Power Tools for Data Analysis Class, BI 348, taught by Mike Girvin, Excel MVP and Highline College Professor.

Topics:
1. (00:15) Introduction
2. (00:31) Summary of what we know so far in class about Iterators and Table Functions
3. (01:38) Summary of what we will learn in this video about Iterators and Table Functions
4. (02:51) What does DAX stand for? Data Analysis eXpressions
5. (03:36) Introduction to Iterator Functions
6. (04:51) Learn how Iterators Work using SUMX & AVERAGEX Iterating Over Fact Table at Transaction Grain
7. (08:24) Be Careful of Context Transition & Iterating over a Fact Table that “Materialize” Unnecessary Tables.
8. (11:14) DAX Studio to Time DAX Formulas. Including how to use the ROW DAX Function to help time Measures.
9. (18:55) Create PivotTable with Measures and see that the Measure that has to materialize a Fact Table for each row in the iteration takes a LONG time to calculate in a PivotTable.
10. (19:49) Power BI Example of “Double Count” Problem with Context Transition. Be Careful of Context Transition & “Double Count” Problem. Solutions #1: Use Formula rather than Measure.
11. (25:07) Solution #2: Use Power Query to add Primary Key can fix the problem also.
12. (26:11) AVERAGEX at Day Grain use dDate Table. We want Context Transition in this formula and we will Never have the “Double Count” problem because dDate Table has no duplicates.
13. (27:37) Grain of Fact Table or Iterator.
14. (30:18) AVERAGEX at Month Grain with VALUES(Column)
15. (30:18) Introduction to idea that we need DAX Table functions like VALUES to help create the correct Grain for Tables that we can use in Iterator Functions.
16. (31:35) VALUES DAX Function
17. (33:17) DAX Studio to Visualize or Materialize Tables
18. (33:48) CROSSJOIN DAX Function.
19. (35:05) CONCATENATEX and VALUES to list values in the Current Filter Context
20. (40:15) AVERAGEX at Month Grain with CROSSJOIN(VALUES(Column),VALUES(Column))
21. (41:30) Can we reduce “Cardinality”? Try not to Iterate over Fact Table. Alternative Formula for Total Revenue in Power BI Example. Timing formulas in DAX Studio.
22. (48:20) Time DAX Measures from Power BI with DAX Studio.
23. (50:20) Closer look at ALL and VALUES DAX Functions. Discuss the Blank Row that shows up from unmatched item in a relationship.
24. (55:21) Compare and Contrast ALL and VALUES.
25. (56:10) DISTINCT and ALLNOBLANKROW DAX Functions.
26. (57:23) Look at other DAX Table Functions.
27. (58:15) Discussion of FILTER DAX Table Function and CALCULATETABLE DAX Table Function
28. (01:01:00) Look at ADDCOLUMNS DAX Function.
29. (01:01:30) Excel Existing Connections to pull data from Data Model into Excel Sheet.
30. (01:02:54) DAX VALUES Function to pull a variable from an Excel Sheet into the Data Model.
31. (01:05:05) Summary

### MSPTDA 18: DAX Iterators, Table Functions, Grain, Cardinality, Materializing Tables Excel & Power BI

http://bit.ly/2SnL4fe
Zipped Folder with data that was already loaded into previous file: http://bit.ly/2Ax85FJ
http://bit.ly/2SnL5ji
http://bit.ly/2AnzlpP
http://bit.ly/2SnL5Qk
Zipped Folder with data that was already loaded into previous file: http://bit.ly/2AkF9Aw
http://bit.ly/2StC4oX
http://bit.ly/2ApVN1D
http://bit.ly/2SnL6nm

pdf Notes: http://bit.ly/2Aox3GY
Assigned Homework:
http://bit.ly/2Ah6cN9
Examples of Finished Homework:
http://bit.ly/2SnKWfK
http://bit.ly/2Ah6eof

This video teaches you about the power and pitfalls of DAX Iterator Functions and DAX Table Functions in Excel Power Pivot and in Power BI.
Comprehensive Microsoft Power Tools for Data Analysis Class, BI 348, taught by Mike Girvin, Excel MVP and Highline College Professor.

Topics:
1. (00:15) Introduction
2. (00:31) Summary of what we know so far in class about Iterators and Table Functions
3. (01:38) Summary of what we will learn in this video about Iterators and Table Functions
4. (02:51) What does DAX stand for? Data Analysis eXpressions
5. (03:36) Introduction to Iterator Functions
6. (04:51) Learn how Iterators Work using SUMX & AVERAGEX Iterating Over Fact Table at Transaction Grain
7. (08:24) Be Careful of Context Transition & Iterating over a Fact Table that “Materialize” Unnecessary Tables.
8. (11:14) DAX Studio to Time DAX Formulas. Including how to use the ROW DAX Function to help time Measures.
9. (18:55) Create PivotTable with Measures and see that the Measure that has to materialize a Fact Table for each row in the iteration takes a LONG time to calculate in a PivotTable.
10. (19:49) Power BI Example of “Double Count” Problem with Context Transition. Be Careful of Context Transition & “Double Count” Problem. Solutions #1: Use Formula rather than Measure.
11. (25:07) Solution #2: Use Power Query to add Primary Key can fix the problem also.
12. (26:11) AVERAGEX at Day Grain use dDate Table. We want Context Transition in this formula and we will Never have the “Double Count” problem because dDate Table has no duplicates.
13. (27:37) Grain of Fact Table or Iterator.
14. (30:18) AVERAGEX at Month Grain with VALUES(Column)
15. (30:18) Introduction to idea that we need DAX Table functions like VALUES to help create the correct Grain for Tables that we can use in Iterator Functions.
16. (31:35) VALUES DAX Function
17. (33:17) DAX Studio to Visualize or Materialize Tables
18. (33:48) CROSSJOIN DAX Function.
19. (35:05) CONCATENATEX and VALUES to list values in the Current Filter Context
20. (40:15) AVERAGEX at Month Grain with CROSSJOIN(VALUES(Column),VALUES(Column))
21. (41:30) Can we reduce “Cardinality”? Try not to Iterate over Fact Table. Alternative Formula for Total Revenue in Power BI Example. Timing formulas in DAX Studio.
22. (48:20) Time DAX Measures from Power BI with DAX Studio.
23. (50:20) Closer look at ALL and VALUES DAX Functions. Discuss the Blank Row that shows up from unmatched item in a relationship.
24. (55:21) Compare and Contrast ALL and VALUES.
25. (56:10) DISTINCT and ALLNOBLANKROW DAX Functions.
26. (57:23) Look at other DAX Table Functions.
27. (58:15) Discussion of FILTER DAX Table Function and CALCULATETABLE DAX Table Function
28. (01:01:00) Look at ADDCOLUMNS DAX Function.
29. (01:01:30) Excel Existing Connections to pull data from Data Model into Excel Sheet.
30. (01:02:54) DAX VALUES Function to pull a variable from an Excel Sheet into the Data Model.
31. (01:05:05) Summary

### Count Number Products Battle: Excel? DAX? Power Query? Office 365? Excel Magic Trick 1533

In this video compare five methods to count how many products are in a column.
Topic:
(00:05) Introduction
1. (01:25) Excel Spreadsheet Function: COUNTIFS
2. (03:23) Excel Standard PivotTable
3. (04:47) Power Query: Group By feature
4. (07:23) DAX Functional Language of Excel Power Pivot & Power BI DAX: COUNTROWS
5. (11:08) Office 365 Dynamic Array Functions: UNIQUE & COUNTIFS
(14:40) Summary
Entire page with all Excel Files for All Videos: http://bit.ly/1kSFWvs
Full Lesson on these new Dynamic Arrays and new Excel Calculation Engine: Comprehensive Excel Dynamic Array Formula Lesson: The Power of Array Formulas (EMT 1516)

### MSPTDA 17: Power BI Online: Dashboards, Reports, Excel Workbooks, Data Sets.

Download Power BI Desktop “MSPTDA Video #16 Power BI File” FINISHED File: https://ift.tt/2C070XR
Download Excel File from “MSPTDA Video #15 Power Pivot File” FINISHED File: https://ift.tt/2QCa718
NO HOMEWORK for this video.
This video teaches about Power BI Online. How to upload Excel Files. Create Online Dashboard.

Comprehensive Microsoft Power Tools for Data Analysis Class, BI 348, taught by Mike Girvin, Excel MVP and Highline College Professor.

Topics:
1. (00:15) Introduction.
2. (01:00) Logging in to Power BI Web Site to view reports.
3. (01:48) Introduction to Dashboards, Reports, Workbooks and Data Sets.
4. (02:48) Create Workspace.
5. (03:19) Upload Power BI Report Files.
6. (03:45) Upload Excel Power Pivot Workbook File. Two Methods: 1) Upload Workbook (to see sheets), 2) Upload Workbook Data (upload Data Model from Excel).
7. (04:55) View Excel File Worksheets in Excel Online at powerbi.com web site.
8. (05:17) Look at the four sections (Dashboards, Reports, Workbooks and Data Sets) after we created a Workspace and uploaded items.
9. (05:43) Create Online Dashboard in Power BI Online.
10. (07:01) Create Power BI Report Based on the Data Model in a Published Excel File.
11. (07:56) Summary for Dashboards, Reports, Workbooks and Data Sets

### VLOOKUP To Get Complete Record: ROWS, COLUMNS or SEQUENCE Function? EMT 1532

In this video see how to use VLOOKUP to retrieve an entire record using three methods: 1) COLUMNS, 2) ROWS, 3) SEQUENCE.

1. (00:05) Introduction
2. (00:35) Do we show record horizontally, or vertically? Discussion of sequential numbers that represent the column numbers needed by the VLOOKUP Function.
3. (01:33) COLUMNS & VLOOKUP
4. (03:51) ROWS & VLOOKUP
5. (04:48) SEQUENCE & VLOOKUP (requires that you have Office 365)
6. (07:57) Summary
Entire page with all Excel Files for All Videos: https://ift.tt/1kSFWvs ### MSPTDA 16: Power BI Desktop Comprehensive Introduction: Power Query, DAX, Dashboards, Publishing

This video is a comprehensive lesson in Power BI Desktop: Power Query to import data, DAX Formulas and Relationships to complete Data Model, Creating Dashboards, Publishing and Sharing Reports.

Comprehensive Microsoft Power Tools for Data Analysis Class, BI 348, taught by Mike Girvin, Excel MVP and Highline College Professor.

Topics:
1. (00:15) Introduction of what we will do in this video.
2. (02:25) Overview of Excel Power Pivot & Power BI Desktop
3. (02:44) Approximate History of Power BI Desktop :
4. (03:15) Different Versions of Power BI (Different Power BI Products) Available from Microsoft
6. (05:43) List of Charts and Visualizations for your Dashboard (Review from prerequisite classes Busn 216 & 218)
7. (06:02) Overriding Steps for our Project
8. (06:27) Open a blank Power BI File
9. (07:04) Introduction to Power BI Window and User Interface
10. (08:32) Power Query to Import Multiple CSV Files and Clean and Transform Data
11. (13:38) Why we do NOT use Number or Date Fields from a Fact Table
12. (15:57) Import Dimension Tables from a Single Excel File
13. (18:09) Merge Snow Flake Dimension Tables into dProduct Table
14. (19:30) Do NOT import to Data Model (Uncheck Enable Load)
15. (20:22) Old Relationship View & New Relationships View with Properties & Better Selection Capability
16. (20:41) Steps to create Date Table using CALENDAR DAX Table Function & Calculated Columns. See many DAX Functions such as CALENDAR, FORMAT and others.
17. (16:10) Sort By Column to get Months to Sort correctly.
18. (27:47) Create Fiscal Periods for Data Table, including Helper Column for Sorting Fiscal Period correctly.
19. (33:12) Hide Columns from Report View
20. (34:00) Create DAX Measures and see why we do not use Implicit Measures.
21. (36:17) SUMX DAX Function
22. (38:15) Row Context (how formula calculates for each row in a table or Iterator Function)
23. (40:12) Filter Context (How Measures Calculate and how Tables are Filtered when Measures Calculate)
24. (41:50) Measure for Average Daily Revenue. Learn about Context Transition. See AVERAGEX Function to iterate at the Daily level.
25. (47:55) Conventions for DAX Formulas with a great tip from Marco Russo and Albetro Ferrari
26. (49:00) More About Filter Context and Context Transition
27. (49:26) Gross Profit Measures
28. (51:48) Refine Data Model in Power Query by Removing Columns in dProduct Table
29. (52:40) Learn about how to Create & Format Visualizations
30. (52:40) Create “Ave Daily GP” Dashboard.
31. (52:40) Create Matrix and add Conditional Formatting
32. (55:29) Create Column Chart and add Conditional Formatting
33. (56:00) Hierarchies
34. (56:52) Drill Down Icons in Power BI
35. (59:09) Create Line Chart
36. (01:00:00) Create Card
37. (01:01:00) Edit Interactions between visualizations
38. (01:02:50) Create “Fiscal Report” Dashboard
39. (01:05:32) Bookmark to save views of a Dashboard
40. (01:06:20) Create “Ave Last 12 Months” Dashboard
41. (01:06:37) DAX Measure for Average Transactional Revenue. See AVERAGEX Function to iterate at the transaction line item level.
42. (01:07:30) Visual of how we change the Filter Context to get dates for a full year backwards.
43. (01:08:25) CALCULATE & DATESINPERID & LASTDATE DAX Functions to calculate Measure for Rolling 12 Month Average for Transaction Level Data.