A new month means it's time to celebrate and welcome the new user groups that have joined our community. We are excited to announce that we have more than 8 New Groups, which is no surprise after the amazing Microsoft Power Platform Conference. This month, we are breaking them out by the different community categories. If your group is listed here, give this post a kudo so we can celebrate with you!Don't forget to take a look at the many events happening near you or virtually! It's a great time of year to connect and engage with User Groups both locally and online. Please Welcome Our NEW User Groups Power Platform:PowerIT User Group: NottinghamPower Platform User Group: BergenPower Platform User Group: DanmarkNashville Power Platform User GroupMicrosoft Ambassador Program y Mujer Latina Technolochicas NCWIT CommunityCopilot Studio: Copilot User Group ItaliaDynamics365:Dynamics User Group AdriaticDynamic 365 Azerbaijan December User Group Events 01 Dec 2023Aprendiendo Desarrollo web, creando mi primer power app y power page.01 Dec 2023 Q4 Hybrid Philadelphia Dynamics 365 & Power Platform User Group Meeting05 Dec 2023APAC Dynamics 365 FastTrack Bootcamp - BI and Analytics07 Dec 2023Bay Area Power Platform Meetup: Learn, Share, and Connect07 Dec 2023Indiana D365/AX December User Group Meeting07 Dec 2023Dynamics User Group Meeting: Houston09 Dec 2023December '23 - NEW Power Apps User Group Meeting - Online12 Dec 2023December Cleveland Power Platform User Group Meeting12 Dec 2023RW2 Data Stewardship Open Forum Discussion13 Dec 2023 Black Country Power Platform User Group - December 2023 - West Midlands
Searched Google and Knime Community but I Kept hitting the wall. So I Decidei to post this to ask for help from avid Excel and Knime Users.If we can come up with a soltuion it will be a good combination of powerfull tools.
Looking Forward to your precious help dear Knimers
I have discovered through other research that I can workaround the union query issue, by creating a new select query which includes all the results of the union query. This seems to work to get the union query into Excel. However, the same trick does not appear to work for the query with the "not like" criteria.
I've never used PowerQuery to point to another query in Access; only data tables. I will say that PowerQuery is very flexible, and can solve most issues very easily. You can do a union in PowerQuery (they call it a merge), as well as a filter - kind of similar to just applying a filter in Excel.
However, it seems like Excel does that via the PowerQuery because if I need to update the data source in Excel (such as if I rename the query in Access), it opens the PowerQuery window and I make the update there. So that's why I specified PowerQuery. It's not that I'm trying to specifically use PowerQuery, it's just that that is how Excel accomplishes it.
Welcome to the fascinating world of Power Query, the secret weapon in every data wizard's arsenal! This powerful tool greatly simplifies the process of molding raw data into a meaningful format for further analysis and visualization. When you use Power Query to transform data in Excel, you're streamlining your data manipulation tasks and setting the stage for powerful insights. This will guide you toward better decision-making and more informed strategies.
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You will see a new worksheet inside the current workbook, as shown in the below screenshot. Your external data is now an Excel table. On the right pane, notice that there is a query to your data source listed there.
Suppose you want to create a new column, i.e., Category in the Products query, that tells you which category each product belongs to. The first 2 digits of the product number identify the product category based on the following rules:
Note: As you can see, you have two options for merging. You can either overwrite the current Sales query with additional columns or merge two queries as a new one to keep your current Sales table unchanged.
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Power Query is built on what was then[when?] a new query language called M. It is a mashup language (hence the letter M) designed to create queries that mix together data. It is similar to the F Sharp programming language, and according to Microsoft it is a "mostly pure, higher-order, dynamically typed, partially lazy, functional language." The M language is case-sensitive.
Much of the user interaction with Power Query can be done via graphical user interfaces with wizards, and this can be used for many common or basic tasks. It is also possible to use the advanced editing mode where the developer can write in the M formula language; this gives greater expressive power, more possibilities, and can also be used to change the code generated by the graphical wizards.
A Power Query written in M consists of a let expression where data and expressions can be referenced between each other, and an in expression which contains the output. Lines in the let expression (which are also called steps) are separated by a comma at the end of each line, except for the last line. Comments are written in C-style, with inline comments beginning with a forward slash (/) symbol, while block comments which can span multiple lines are delimited by /* and */. The M language is powerful and is sometimes necessary for performing certain forms of queries, but for many common tasks, however, users can also often interact with Power Query through the graphical user interfaces without directly working with the M language.
Query Folding is the ability for a Power Query to be transformed into a single query at the data source (for example in Transact SQL). As such, Query Folding works like a traditional ETL process, and enables working on the data before loading. Query Folding is not always supported. Folding indicators (such as folding, not folding, might fold, opaque, unknown) might indicate up to which step a query might fold. Non-folding queries will have to be performed on the client-side. The order of queries can determine how many of the steps which get folded.
Let me come straight to the point, Power Query is one of the advanced Excel skills that you need to learn and in this tutorial, you will be exploring power query in detail and will be learning to transform data with it.
After getting data in the power query you have a whole bunch of options that you can use to transform it and clean it. It creates queries for all the steps you perform (in a sequence one step after another).
At the top of each column, you can see the data type of the data in the column. When you load data into the editor the power query applies the right data type (almost every time) to each column automatically.
And on the left side of the column header there you have the filter button which you can use to filter values from the column. Note: When you filter values from a column, the power query takes it as one step and lists it in the applied steps.
The best part of the power query is you have the option to get data from multiple sources and transform that data and then load it into the worksheet. When you click on the Get Data in the GET & TRANSFORM you can see the complete list of data sources that you can get data load into the editor.
You have a list of values, and you want to replace a value or some values with something else. Well, with the help of the power query you can create a query and replaces those values, in no time.
So you have a list of values and from this list, you want to add a Prefix/Suffix in each cell. In Excel, you can use the concatenate method but in power query, there is a simple to use option for both.
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