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rank in Access

MSPTDA 16: Power BI Desktop Comprehensive Introduction: Power Query, DAX, Dashboards, Publishing

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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
5. (04:56)Download Power BI Desktop (link to Avi’s video: https://www.youtube.com/watch?v=5Fv-I9xQkcc)
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.
44. (01:12:08) Create “Question” Dashboard. Learn about Ask A Question feature.
45. (01:13:08) Publish Report to powerbi.com
46. (01:14:15) Edit at powerbi.com
47. (01:14:34) Publish to Web with Free Power BI Desktop version and allow public to review Report
48. (01:16:15)Publish and Share with Power BI Pro Account
49. (01:17:44) Source Data Changes and Refresh
50. (01:18:18) Summary

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Comprehensive Introduction to Excel Power Pivot, DAX Formulas and DAX Functions

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Second Excel Start File: https://ift.tt/2Dtf4Sf
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Assigned Homework:
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This video teaches everything you need to know about Power Pivot, Data Modeling and building DAX Formulas, including all the gotchas that most Introductory videos do not teach you!!!

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

Topics:
(00:15) Introduction & Overview of Topics in Two Hour Video
1. (04:36) Standard PivotTable or Data Model PivotTable?
2. (05:51) Excel Power Pivot & Power BI Desktop?
3. (12:31) Power Query to Extract, Transform and Load Data to Data Model – Get data from Text Files, Relational Database and Excel File.
4. (25:47) Build Relationships
5. (27:43) Introduction to DAX Formulas: Measures & Calculated Columns
6. (29:15) DAX Calculated Column using the DAX Functions, RELATED and ROUND
7. (31:20) Row Context: How DAX Calculated Columns are Calculated: Row Context
8. (33:49) We do not want to use Calculated Column results in PivotTable using Implicit Measures
9. (34:05) DAX Measure to add results from Calculated Column, using DAX SUM Function.
10. (35:29) Number Formatting for DAX Measures
11. (36:35) Data Model PivotTable
12. (39:31) Explicit DAX Formulas rather than Implicit DAX Formulas
13. (41:50) Show Implicit Measures
14. (45:00) Filter Context (First Look) How DAX Measures are Calculated
15. (50:14) Drag Columns from Fact Table or Dimension Table?
16. (53:30) Hiding Columns and Tables from Client Tool
17. (55:52) Use Power Query to Refine Data Model
18. (57:54) SUMX Function (Iterator Function). DAX Measure for Revenue using the SUMX Function to simulate Calculated Columns in DAX Measures
19. (01:01:00) Compare and Contrast Calculated Columns & Measures
20. (01:04:26) Why We Need a Date Table. Why we do NOT use the Automatic Grouping Feature for a Data Model PivotTable
21. (01:06:46) Build an Automatic Date Table in Excel Power Pivot. And then build Relationship.
22. (01:11:00) Introduction to Time Intelligence DAX Functions. See TOTALYTD DAX Function
23. (01:13:47) Introduction to CALCULATE Function: Function that can “see” Data Model and can change the Filter Context. (01:18:00) Also see the ALL and DIVIDE DAX Functions. Create formula for “% of Grand Total”. Also learn about (01:21:30) Context Transition and the Hidden CALCULATE on all Measures.
24. (01:27:18) DAX Formula Benefits.
25. (01:28:00) Example of DAX Formula that is easier to author than if we tried to do it with a Standard Pivot Table or Array Formulas
26. (01:31:50) AVERAGEX Function (Iterator Function) to calculate Average Daily Revenue.
27. (01:34:00) Filter Context (Second Look) AVERAGEX Iterator Function
28. (01:36:16) Build Dashboard. Create multiple DAX Formulas. Create Multiple Data Model PivotTables and a Data Model Chart.
29. (01:38:38) Create Measures for Gross Profit and Gross Profit %
30. (01:41:27) Continue making more Data Model PivotTables.
31. (01:41:50) Make Data Model Pivot Chart.
32. (01:45:10) Conditional Formatting for Data Model PivotTable.
33. (01:46:22) DAX Text Formula for title of Dashboard
34. (01:47:50) CUBE Function to Convert Data Model PivotTable to Excel Spreadsheet Formulas.
35. (01:50:05) Adding New Data and Refreshing.
36. (01:50:40) Update Excel Power Pivot Automatic Date (Calendar) Table. Clue is the blank in the Dimension Table Filter.
37. (01:52:20) How to Double Check that a DAX Formula is yielding the correct answer?
38. (01:53:22) DAX Table Functions. See CALCULATETABLE DAX Function.
39. (01:55:07) DAX Studio to visualize DAX Table Functions, and to efficiently create DAX Formulas
40. (02:00:12) Existing Connections to import data from Data Model into an Excel Sheet
(02:03:15) Summary

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Copy/Paste Is Not Working – Solved!

I encountered a strange issue where I suddenly could not copy or paste in Windows or any of the Office applications (Excel, Access, Word, Outlook, PowerPoint, etc.) while working remotely. It was quite frustrating as I was pressed for time and needed this critical function to keep working. I then had the idea to stop the utility for the clipboard, effectively restarting it, and that worked!

If your clipboard copy/paste is not working on your remote machine, to save you the same time and frustration, here is how I resolved the issue:

  • Click on Start and type “Run”. Press Enter. (You can also press the Windows Key + R combination to open the Run window).
  • In the Run window, type cmd and press enter or click OK.
  • When the black command prompt window opens, type the following:
  • taskkill /f /im rdpclip.exe
  • Press enter.
  • Close the command prompt (black) window.

By entering this command, you are forcing the shared clipboard to close and restart itself. Hopefully this helps you out!

View Two Tabs at Once in Excel – One Workbook Side By Side

Did you know that you can view two tabs at once in Excel, side by side for a single Excel workbook/file?  This is especially helpful if you are working with a formula that affects another tab, whether checking for accuracy or troubleshooting.  It’s also great if you are running what-if scenarios such as in a sensitivity analysis.

Adding a second window in Excel to see two tabs at once:

  1. On the menu bar, click View.
  2. Click New Window.
  3. Position the two windows however you’d like.
  4. Note that it is still one file, so both windows will update when you make a change.  You can save from either window.

Alternatively, if you love keyboard shortcuts like I do, simply use this combination: ALT + W, then N.

Open Two Tabs in Excel
View menu for Excel

Here is an example of how it looks for this sample loan calculator file:

Open New Window Side By Side in Excel


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rank in Access

Rank in Access Query (Sales Ranking)

A common request I get is for ranking of sales in Access by region, state and item combination for analysis and space management.  In my business, we have some overlap, where a state can be part of two separate areas or regions, for example Southern CA vs. Northern CA.  It’s helpful for us to show separate rankings for each region and state combo, as the results often tell a different story for each.

The Pass-Through query below enables me to determine the ranking at each of these levels.  By entering as a Pass-Through query, you can utilize the Rank and Partition SQL commands.  After running this query, I bring the data into Excel for further analysis, but this query is a good starting point for any similar analyses.

Here is the full Access pass-through query, color coded for the explanation below:

Select Region, State, Product_ID, SumSaleQ, StoreCount,Rank
FROM (Select Region, State, Product_ID, SumSaleQ, StoreCount, Rank() over (Partition By state, Region Order by SumSaleQ DESC)as rank
FROM (Select s.Region, s.state, m.Product_ID, sum(m.sale_quantity) as SumSaleQ, count(distinct(m.site_num)) as StoreCount
FROM Store_monthly_sales m, FR_Site_Master s
WHERE m.Site_num = s.Site_num AND m.accrual_month in (‘202007′,’202006′,’202005’)
GROUP BY s.Region,m.Product_ID,s.state)
WHERE SumSaleQ >5)
WHERE rank <205
Order by State ASC, Region Asc, Rank Asc

Explanation

Query 1

Diving right in, since we are measuring at multiple levels, we have some nested queries.  Working from the inside out, my first nested query is this one:

(Select s.Region, s.state, m.Product_ID, sum(m.sale_quantity) as SumSaleQ, count(distinct(m.site_num)) as StoreCount
FROM Franchise.Store_monthly_sales m,Franchise.FR_Site_Master s
WHERE m.Site_num = s.Site_num AND accrual_month in (‘202007′,’202006′,’202005’)
GROUP BY s.Region,m.Product_ID,s.state)

Query 2

We then nest that within this query (the WHERE clause is optional – I am dealing with sales in the thousands, and want to exclude items with a sales quantity less than 5.  Note the Rank() over and Partition By Commands here:

(Select Region, State, Product_ID, SumSaleQ, StoreCount, Rank() over (Partition By state, Region Order by SumSaleQ DESC)as rank

FROM

WHERE SumSaleQ >5)

Query 3

The final nesting and main query is selecting the rank from the second query, along with the other pertinent attributes.  The WHERE clause is again optional, I am looking to limit my results to the top 200 results only for each region and state combination. I use 205 as the figure to allow for ties.  The Order by is also optional.  I like to order the results by state, region and then rank ascending.

Select Region, State, Product_ID, SumSaleQ, StoreCount,Rank

FROM …

WHERE rank <205
Order by State ASC, Region Asc, Rank Asc

Full Query (no color coding)

Select Region, State, Product_ID, SumSaleQ, StoreCount,Rank
FROM (Select Region, State, Product_ID, SumSaleQ, StoreCount, Rank() over (Partition By state, Region Order by SumSaleQ DESC)as rank
FROM (Select s.Region, s.state, m.Product_ID, sum(m.sale_quantity) as SumSaleQ, count(distinct(m.site_num)) as StoreCount
FROM Store_monthly_sales m, FR_Site_Master s
WHERE m.Site_num = s.Site_num AND m.accrual_month in (‘202007′,’202006′,’202005’)
GROUP BY s.Region,m.Product_ID,s.state)
WHERE SumSaleQ >5)
WHERE rank <205
Order by State ASC, Region Asc, Rank Asc

Conclusion

I hope this post will help you in your efforts to rank in Access.  It can be a bit of a challenge, but hopefully the breakdown of the steps here will help you achieve your ranking goals.  Please comment any questions, feedback, or what you would like to see next!  Share this post if you feel it would help someone else! 🙂

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rank in Access

Solved: Pass a Parameter to a SQL Query in Power Query

I’ve done a fair amount of research around dynamic and parameterized queries, specifically around an Excel query parameter, as in trying to pass a parameter to a SQL query in Power Query.  After much trial and error, I finally have found a solution that works.  Here’s the quick and easy way.  This solution works in Excel – I have not attempted to pass a parameter in Power BI yet.

Please note this post assumes you are at least moderately familiar with Power Query and SQL querying. Your mileage may vary depending on your situation.

In my example, “SParameter” is the name of the parameter I am using, and it represents a store number (retail location identifier). The related field in my SQL table is [Store].

Create the parameter:

Add a table, with a single record and column.

Add this table into Power Query by selecting the table, then Date > From Table/Range.  When the query editor opens, if necessary, change the data type (in my case it need it to be text).

Right click on the record and select “Drill Down”.  Since you have a single record, this step will automatically create a parameter.

In the properties, I name this SParameter (you may enter the name of your choice for your parameter).  Note that the name is case sensitive.

Create the SQL query:

We are not going to put a clause in referencing the parameter here (see “Why Not Include the Parameter in the SQL Statement” section below for why).  If you have other criteria for the statement, include that.  Here’s my simple query – note that I’m not including the store field.

Select * FROM Storelist WHERE OpenDate < GetDate()-365

If you think like me, you may be pausing here – my table has millions of records and I don’t want them all pulling in – don’t worry, this is the beauty of the process.

Write your SQL statement.

When the Query Editor returns the columns (and/or record sampling), for the field you will be using your parameter, filter with any single value (Text Filters > Equals) – this is just a placeholder.

You will now see that filtering in the formula bar.  Replace that value with the name of your parameter, removing any quotes from the placeholder.  This is how it looks for me:

= Table.SelectRows(Source, each [Store] = SParameter).

Power Query is smart enough to modify it’s native query to use the parameter, so it’s not going to pull in the millions of records and then filter after the fact.  Success!

Also, if you are wondering about GetDate(), this is the SQL current system date, so in a way this is technically a dynamic parameter as well.  In my case, the query will only return stores with an open date that is older than 365 days based on today’s date.

Why Not Include the Parameter in the SQL Statement?

In the SQL statement, logic would lead us to add the store number/SParameter as part of the criteria in the select statement.  It may seem counter intuitive, but we cannot successfully put the parameter directly into the SQL code/query.  I have tried several times, but the challenge is that you are combining data sources and at this time, this is not allowed due to the built in security (SParameter portion is local, SQL portion is external).

If you are tempted to test this yourself, the format would be Select * FROM Storelist WHERE Open < GetDate()-365 and Store = “&SParameter&”.  You will likely run into this error “Formula.Firewall: Query ‘SParameter (2)’ (step ‘Filtered Rows’) references other queries or steps, so it may not directly access a data source. Please rebuild this data combination.”

I hope this post helped you out.  If so, please leave a comment below letting me know so, and if you’d like, add what you’d like me to cover in a future post.

Feel free to share this with someone else who may find it useful. Best of luck to you!

Convert Date in Access – Serial Number, Text String, First of Month, etc.

Convert Date In Access – Serial Number, Text Date, First of Month, End of Month/last day of month.  MS Access will not automatically convert dates into different types, so this post will assist you with doing so manually. You will create a new field in your query to accomplish this. 

Hint: Substitute [yourdate] with the name of the field that you are converting.

To convert a date in the date/time format to the serial number (7/1/2019 to 43647), use:

Cdbl ([yourdate])

———————————–

To convert a date in the serial number format to date/time format (43647 to 7/1/2019), use:

Cdate ([yourdate])

———————————–

To convert a text or string date to the date/time format, try:

DateValue ([yourdate])

———————————–

To convert a date to the first day of the month:

DateSerial (year([yourdate]),month([yourdate]),1)

———————————-

To convert a date to the last day of the month:

DateSerial (year([yourdate]),month([yourdate])+1,1)-1

———————————-

You can also convert a date/timeformat to a string – here is one example:

Format([yourdate],”mmmmyyyy”)

This would render 7/1/19 in your date field as July2019.

More information on the Format function and syntax can be found on the Microsoft Office Support site.

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Beautiful: What Fruit Is New Today – 2300

A tough question from the MrExcel Message Board. There are 1500 rows showing products in a delimited string. Someone might have had “Cherry, Apple” yesterday and today they have “Apple, Banana, Cherry”. Can you use a VBA macro to subtract Cherry Apple from Apple Banana Cherry and end up with just Banana?
Today, I end up solving this with Excel Power Query, Split by Delimiter To Rows, and then a Right Anti-Join. The best part: you can refresh the query tomorrow.

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Post to New MrExcel Forum With XL2BB – 2299

We’ve migrated the 1.4 Million posts in the MrExcel Message Board to a new board software. One thing that is different: the steps to post your spreadsheet to the board. This video will take a look at the free XL2BB Excel add-in that you can use.

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Troubleshoot random numbers in Power Query

Creating random numbers in power query is not as straight forward as you might think. In this video we will cover the main issues with this:
1. The random number is the same on each row
2. How to keep the random number from changing

Enjoy!

Here you can download all the pbix files: https://ift.tt/2yGx9Ih

SUBSCRIBE to learn more about Power and Excel BI!
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Our PLAYLISTS:
– Join our DAX Fridays! Series: https://goo.gl/FtUWUX
– Power BI dashboards for beginners: https://goo.gl/9YzyDP
– Power BI Tips & Tricks: https://goo.gl/H6kUbP
– Power Bi and Google Analytics: https://goo.gl/ZNsY8l

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POWER BI COURSES:

Want to learn Power BI? How about you take one of our courses? Here you can find the available courses:
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If you feel that any of the videos, downloads, blog posts that I have created have been useful to you and you want to help me keep on going, here you can do a small donation to support my work and keep the channel running:

https://ift.tt/2NrgChB

Many thanks in advance!

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What gear do I use to make my videos and run my business? Below you will find a list of most of my gear. The links on the store are affiliate links, meaning if you buy something from them, amazon will give a small commission and you will be supporting my channel indirectly. Thanks in advance!

https://ift.tt/2I8nl09

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QUESTIONS? COMMENTS? SUGGESTIONS? You’ll find me here:
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Twitter ► @curbalen, @ruthpozuelo
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Troubleshoot random numbers in Power Query

Creating random numbers in power query is not as straight forward as you might think. In this video we will cover the main issues with this:
1. The random number is the same on each row
2. How to keep the random number from changing

Enjoy!

Here you can download all the pbix files: https://ift.tt/2yGx9Ih

SUBSCRIBE to learn more about Power and Excel BI!
https://www.youtube.com/channel/UCJ7UhloHSA4wAqPzyi6TOkw?sub_confirmation=1

Our PLAYLISTS:
– Join our DAX Fridays! Series: https://goo.gl/FtUWUX
– Power BI dashboards for beginners: https://goo.gl/9YzyDP
– Power BI Tips & Tricks: https://goo.gl/H6kUbP
– Power Bi and Google Analytics: https://goo.gl/ZNsY8l

☼☼☼☼☼☼☼☼☼☼

POWER BI COURSES:

Want to learn Power BI? How about you take one of our courses? Here you can find the available courses:
https://ift.tt/2NEZM2b

☼☼☼☼☼☼☼☼☼☼

ABOUT CURBAL:
Website: http://www.curbal.com
Contact us: https://ift.tt/2qhiZvU

▼▼▼▼▼▼▼▼▼▼

If you feel that any of the videos, downloads, blog posts that I have created have been useful to you and you want to help me keep on going, here you can do a small donation to support my work and keep the channel running:

https://ift.tt/2NrgChB

Many thanks in advance!

▲▲▲▲▲▲▲▲▲▲

************

What gear do I use to make my videos and run my business? Below you will find a list of most of my gear. The links on the store are affiliate links, meaning if you buy something from them, amazon will give a small commission and you will be supporting my channel indirectly. Thanks in advance!

https://ift.tt/2I8nl09

************

QUESTIONS? COMMENTS? SUGGESTIONS? You’ll find me here:
Linkedin ► https://goo.gl/3VW6Ky
Twitter ► @curbalen, @ruthpozuelo
Facebook ► https://goo.gl/bME2sB

#CURBAL #SUBSCRIBE

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INDEX & MATCH Excel Lookup Functions – All You Need To Know in 10 Minutes (EMT 1618)

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Learn all about the Excel INDEX & MATCH Lookup Functions is 10 minutes. Here is the list of topics in this video and the time hyperlinks that the specific section of the video:
1. (00:30) Introduction to what INDEX and MATCH can do
2. (01:42) All about MATCH Function
3. (02:04) MATCH for Exact Match Lookup, [match_type] = 0
4. (02:34) What is Approximate Match?
5. (03:16) MATCH for Approximate Match Lookup with values Sorted Ascending, [match_type] = 1 or omitted
6. (04:02) MATCH for Approximate Match Lookup with values Sorted Descending, [match_type] = – 1
7. (04:17) INDEX and MATCH together to do any type of lookup
8. (04:26) INDEX & MATCH to do One-way lookup to retrieve a single value in a column to the left of the lookup value. Example of Exact Match Lookup.
9. (05:34) INDEX & MATCH to do One-way lookup to retrieve a single value in a column to the left of the lookup value when lookup values are sorted biggest to smallest. Example of one type of Approximate Match Lookup.
10. (06:17) INDEX & MATCH to do Two-way lookup to retrieve a single value. See second type of Approximate Match Lookup and an Exact Match Lookup.
11. (07:24) How to Copy Two-way lookup formula.
12. (09:01) INDEX & MATCH to lookup a list of values
13. (09:23) INDEX & MATCH to do Two-way lookup to retrieve a full row
14. (10:15) INDEX & MATCH to do Two-way lookup to retrieve a full column
15. (10:41) INDEX & MATCH to do Lookup an item from multiple tables
16. (10:41) MATCH to get Table Number
17. (11:11) INDEX & MATCH to do Lookup Columns Headers
18. (11:56) Summary

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DAX Fridays! #150: The 150th DAX Fridays Challenge, can you solve it?

We are celebrating the 150th DAX Fridays video with a DAX challenge that can be solved with DAX…and no, you dont need to speak Italian to solve it 😉
Post your solutions in the comment box 🙂

Here you can download all the pbix files: https://ift.tt/2yGx9Ih

SUBSCRIBE to learn more about Power and Excel BI!
https://www.youtube.com/channel/UCJ7UhloHSA4wAqPzyi6TOkw?sub_confirmation=1

Our PLAYLISTS:
– Join our DAX Fridays! Series: https://goo.gl/FtUWUX
– Power BI dashboards for beginners: https://goo.gl/9YzyDP
– Power BI Tips & Tricks: https://goo.gl/H6kUbP
– Power Bi and Google Analytics: https://goo.gl/ZNsY8l

☼☼☼☼☼☼☼☼☼☼

POWER BI COURSES:

Want to learn Power BI? How about you take one of our courses? Here you can find the available courses:
https://ift.tt/2NEZM2b

☼☼☼☼☼☼☼☼☼☼

ABOUT CURBAL:
Website: http://www.curbal.com
Contact us: https://ift.tt/2qhiZvU

▼▼▼▼▼▼▼▼▼▼

If you feel that any of the videos, downloads, blog posts that I have created have been useful to you and you want to help me keep on going, here you can do a small donation to support my work and keep the channel running:

https://ift.tt/2NrgChB

Many thanks in advance!

▲▲▲▲▲▲▲▲▲▲

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What gear do I use to make my videos and run my business? Below you will find a list of most of my gear. The links on the store are affiliate links, meaning if you buy something from them, amazon will give a small commission and you will be supporting my channel indirectly. Thanks in advance!

https://ift.tt/2I8nl09

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QUESTIONS? COMMENTS? SUGGESTIONS? You’ll find me here:
Linkedin ► https://goo.gl/3VW6Ky
Twitter ► @curbalen, @ruthpozuelo
Facebook ► https://goo.gl/bME2sB

#CURBAL #SUBSCRIBE

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DAX Fridays! #151: ALL vs ALLEXCEPT

Get Northwind Dataset: https://www.youtube.com/watch?v=k3NMIlLffrU

Link to DAX Fridays survey: http://bit.ly/2MMM4KK

Here you can download all the pbix files: https://ift.tt/2yGx9Ih

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If you feel that any of the videos, downloads, blog posts that I have created have been useful to you and you want to help me keep on going, here you can do a small donation to support my work and keep the channel running:

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Many thanks in advance!Here you can download all the pbix files: https://ift.tt/2yGx9Ih

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Our PLAYLISTS:
– Join our DAX Fridays! Series: https://goo.gl/FtUWUX
– Power BI dashboards for beginners: https://goo.gl/9YzyDP
– Power BI Tips & Tricks: https://goo.gl/H6kUbP
– Power Bi and Google Analytics: https://goo.gl/ZNsY8l

************

What gear do I use to make my videos and run my business? Below you will find a list of most of my gear. The links on the store are affiliate links, meaning if you buy something from them, amazon will give a small commission and you will be supporting my channel indirectly. Thanks in advance!

https://ift.tt/2I8nl09

************

QUESTIONS? COMMENTS? SUGGESTIONS? You’ll find me here:
Linkedin ► https://goo.gl/3VW6Ky
Twitter ► @curbalen, @ruthpozuelo
Facebook ► https://goo.gl/bME2sB

#daxfridays #curbal #SUBSCRIBE

View on YouTube