EMT 1536: Power Query to Import Text Data for Accounting Schedule of Accounts
Download Excel Start Files: http://bit.ly/2VTHw6y
Download Excel Finished Files: http://bit.ly/2QOzNCY
Entire page with all Excel Files for All Videos: http://bit.ly/1kSFWvs
In this video learn how to create an Accounting Schedule of Accounts from a Text File using Power Query and a PivotTable with a Slicer. This solution will update when a new file becomes available next month.
Download Excel File: http://bit.ly/2TFoUp4
Entire page with all Excel Files for All Videos: http://bit.ly/1kSFWvs
In this video learn how to create an Excel Spreadsheet Formula solution that calculates the Average Daily Revenue with the Average Function with SUMIFS inside. See a battle between the New Office 365 method using SEQUENCE Function or the old Excel way with the INDIRECT function.
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) https://www.youtube.com/watch?v=7jJMDGZpjSk
Download Excel File: http://bit.ly/2TFoUp4
Entire page with all Excel Files for All Videos: http://bit.ly/1kSFWvs
In this video learn two methods using Excel Spreadsheet Formulas to calculate a Unique Count of Dates Product Was Sold. Learn about the New Office 365 Dynamic Array Formulas and New Excel Calculation Engine or the Traditional Excel Array Formula Method. Learn about the new Office 365 FILTER Array Function, UNIQUE Array Function. See the standard Excel Functions: FREQUENCY, IF, SUM, ROWS and COUNT.
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)
Download Excel File: http://bit.ly/2Rd7Cm7
In this video see how to use VLOOKUP to retrieve an entire record using two methods: 1) FILTER Function and 2) VLOOKUP, COLUMNS and Table Header Code.
1. (00:05) Introduction
2. (01:16) FILTER Function
3. (03:18) VLOOKUP, COLUMNS and Table Header Columns
4. (07:57) Summary
Entire page with all Excel Files for All Videos: http://bit.ly/1kSFWvs
Download Start files:
http://bit.ly/2SnL4fe
Zipped Folder with data that was already loaded into previous file: http://bit.ly/2Ax85FJ
Download Other Start Files: 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
Download Finished files:
http://bit.ly/2StC4oX
http://bit.ly/2ApVN1D
http://bit.ly/2SnL6nm
pdf Notes: http://bit.ly/2Aox3GY
Assigned Homework:
Download Word Document and read: http://bit.ly/2SnL7rq
Then download the rest of the files and complete the 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
Download Start files:
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
Download Finished files:
http://bit.ly/2StC4oX
http://bit.ly/2ApVN1D
http://bit.ly/2SnL6nm
pdf Notes: http://bit.ly/2Aox3GY
Assigned Homework:
Download Word Document and read: http://bit.ly/2SnL7rq
Then download the rest of the files and complete the 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
Download Start files:
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
Download Finished files:
http://bit.ly/2StC4oX
http://bit.ly/2ApVN1D
http://bit.ly/2SnL6nm
pdf Notes: http://bit.ly/2Aox3GY
Assigned Homework:
Download Word Document and read: http://bit.ly/2SnL7rq
Then download the rest of the files and complete the 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
Download Start files:
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
Download Finished files:
http://bit.ly/2StC4oX
http://bit.ly/2ApVN1D
http://bit.ly/2SnL6nm
pdf Notes: http://bit.ly/2Aox3GY
Assigned Homework:
Download Word Document and read: http://bit.ly/2SnL7rq
Then download the rest of the files and complete the 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
Download Start files:
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
Download Finished files:
http://bit.ly/2StC4oX
http://bit.ly/2ApVN1D
http://bit.ly/2SnL6nm
pdf Notes: http://bit.ly/2Aox3GY
Assigned Homework:
Download Word Document and read: http://bit.ly/2SnL7rq
Then download the rest of the files and complete the 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
Download Excel Start Files: http://bit.ly/2Q2FzRe
Download Excel Finished Files: http://bit.ly/2V9SZP9
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)
Download Power BI Desktop “EMT 1366” FINISHED File: https://ift.tt/2QC1UtU
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
Download pdf Notes about video 16 & 17: https://ift.tt/2BrFbGE
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
Download Excel File: https://ift.tt/2UK2Evz
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