Moving a column of text data into 3 columns of data?
I have a column of text data cells 1,2,3,4,5,6,7,8,9 and longer. I want to create 3 column of data to graph and manipulate Cell in Columns. 1,2,3 3,4,5 5,6,7 8,9,10 and longer. So i need to create 3 columns of data from 1 column of data. I am using Mac Excel 16 and I can not make this happen. I have tried all sorts of solutions. Help? Thank you,
Using mode with several criteria
Hello everyone! I'm currently treating some data before I send it to do some machine learning. I have the following data: id Ano mês data_inversa dia_semana horario uf br km municipio causa_acidente tipo_acidente classificacao_acidente fase_dia sentido_via condicao_metereologica tipo_pista tracado_via uso_solo ano pessoas mortos feridos_leves feridos_graves ilesos ignorados feridos veiculos And I created a new table to summarize this data for months instead of accidents, here are the columns: BR KM Ano Mês Clima (Moda) Tipo Pista Acidentes Veículos Ilesos Feridos Leves Feridos Graves Mortes Causa (Moda) Risco What I want to do is calculate the mode of condicao_metereologica for each combination of BR, KM, Ano and Mês. But I can't wrap my head around on how I could do this. Any help is appreciated! Let me know if I made anything not as clear as it is in my head xDExcel Tools for Network & Windows
Excel Tools for Network & Windows Some time ago I already shared an earlier version of this project. Since then, I have added several new features. These tools are based on functionalities that already exist in Windows and its associated software. I have consolidated them into a single Excel-based interface, allowing all tools to be executed directly from Excel. The files are free for private use. For business or enterprise environments, a more comprehensive toolbox can be developed, enabling direct support, repair, management, monitoring, and control of users and systems. Everything can be customized according to specific requirements — the scope depends solely on the desired functionality, time investment, and budget. I appreciate any positive feedback, suggestions, or constructive tips. If this project is not of interest to you, please feel free to ignore it. Thank you, and I wish everyone happy holidays.Name Manager using for create name which is contain atleast two name.
Hello. I creating somthing in excel with tables. These tables has thier own name, and can be dynamic or not. Any way. I using list in cell to select each data from a tables column. For that I created names with the content of a column. Unfortunatly i had to make a kind of name which is contain atleast 2 columns. These can grow dynamicly. So I think a plus helper tabel is not the right sollution for that. I think about 3 kind of solution. 1. =UNIQUE( VSTACK( INDEX(Tabla1[#Data];0;MATCH("Type_name";Tabla1[#Headers];0)); INDEX(Tabla2[#Data];0;MATCH("Column_name";Tabla2[#Headers];0)) ) output #name? 2. =UNIQUE(VSTACK(Lista_A; Lista_B)) lista_A as a name output #name? 3. created a helper table with the existing names. Created another name and use the table in it. output was the elements contained by the helper tabel, and the lista_A and lista_B tables each dedicated column. So How can i create list for a cell or cells from two column which are dynamicly growing, without a user needs to touch the core modell? Best BalázsThe City Leader's Dilemma: How AI Is turning urban strain into strategic advantage
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Consolidate by category
I am trying the following practice challenge in an online course. I cannot for the life of me figure out the solution for step 7. Any help would be GREATLY appreciated "The next few instructions are a bit tricky. You should not need to add any columns to achieve these tasks. These tasks are similar to what was in the Consolidate by Category (Reference) video. In that video, we consolidated sheets that had different categories and in a different order by selecting Use labels in: Left column. Consolidate by Category can also condense multiple rows with the same category down to a single row per category. When you select the references, note that you will need to select at least 2 columns. The first column will be used for the labels and the other column(s) will be consolidated using the Function that you select in the Consolidate dialog. STEP 7: Use the Consolidate tool to generate a summary of the number of tickets raised per priority for May Week 4, June Week 1 and June Week 2 (combined). Sort the consolidated data by Priority. STEP 8: Use the Consolidate tool to generate a summary of the average number of days a ticket was open per priority for May Week 4, June Week 1 and June Week 2. Sort the consolidated data by Priority and change number of decimal places to 2 (change the format, do not use a rounding function). IMPORTANT: Before the next step, make sure you delete the other references in the Consolidate tool! STEP 9: Use the Consolidate tool to generate a summary of the number of tickets given each satisfaction rating for May Week 4, June Week 1 and June Week 2. Use a COUNT function. Sort the consolidated data by Satisfaction Rating." Links to excel files https://d3c33hcgiwev3.cloudfront.net/QsR8jRaoEeiV3A7PVRrSig_43591af016a811e8a3c03fd758b931b1_W1_AdvPracticeChallenge.xlsx?Expires=1764100925&Signature=ayov~GEp79FgN-SAkfGConpKqHsqzwlbG8M0jrn02RwCODRz9HsQXaHNI8IfYvEGy6I68FiyPqLJglNKFW3MBfk4AjEdeSv4dB2NiPrQTqwPFXQOvLGs3THeY7vSJiKj31--Y93AJkiyIfjQBZZyO640jN0cXLZpKl5DXLoBaDM_&Key-Pair-Id=APKAJLTNE6QMUY6HBC5A https://d3c33hcgiwev3.cloudfront.net/_f48c8a2f4c6065a2a708dc316cbcf999_Help-Desk-April-Summary.xlsx?Expires=1764100925&Signature=EnuRHABT4F-ZT925yZKt2cZzr-HYIKEod2gx1-kObdLIzueISMkjx79svRv8ZVWwVO~Y5uteVJNvS5KvdjFh2daaNvIX9OXsw5wXcKaN6zkNqVrjLe21drPYC8JIqW36Z2G3Rxpq-eHwRyKCHlBfxu85zSuTzybcjcP9hFnQ-XA_&Key-Pair-Id=APKAJLTNE6QMUY6HBC5A https://d3c33hcgiwev3.cloudfront.net/_3ffee287bc89bcdd309bfe7d8e5b00da_Help-Desk-May.xlsx?Expires=1764100925&Signature=axvArXcDo65he42Pk13z99VoJ4HS3kpzeTEMmHOEAQ9B0ou444oPGWb4Pp65MEKasrQoMQZ9A40lr2sqXqEYexJk~vENmc9Y2dGDwiEabfxQ4liQbf58sME1cUvrom26neAH40zScJbWh7rFwNZIfI7060YRYVDw4D736pH64zY_&Key-Pair-Id=APKAJLTNE6QMUY6HBC5A https://d3c33hcgiwev3.cloudfront.net/_f0e969b80e0ab5054d797a0644bd82eb_Help-Desk-June.xlsx?Expires=1764100925&Signature=LjcstfMamG2vqJqd2vcD9hiQciNCa48ngWqswE~Al7KgjCvu6M~RHzQ65G5W~Q0dAjfCmikPvIx7j4dZuCXnKWhfE3ULqy3JuJy7EExzsVCUVubmsftcP5tqTRo6No9rtPtBid1e4qkMpyE9Zwj0ny3rJn2LDSulWNYuJNXTIBw_&Key-Pair-Id=APKAJLTNE6QMUY6HBC5A
i need the data from all the sheets in the workbook to link to one data sheet.
A colleague of mine made a data spreadsheet (lets call it SHEET 1), he no longer works for the company and over time the worksheet has been amended, so doesn't work like it should. There are several sheets in the workbook and all data that is copied into these needs to go into SHEET 1 (doing it itself, not manually). My question is when I download my data and paste into SHEET 2, how do I get it to automatically go on to the SHEET 1, taking only certain parts of the data, in this case B and F. The attached is just a small example of the data I need from SHEET 2. On SHEET 1 There is a list of numbers on the left and more, how can I get this data to filter itself onto SHEET 1 in the right column then adding the numbers on the left together. So, on SHEET 1, 160 -T will show 7 because there is 7 1's below for that Org. Sorry if i have made this sound long winded, I am awful at explaining. I have basic knowledge of excel but I cannot get my head around formulas. It should look something like this. Any advice would be great. Thanksmulti Vehicle maintenance log record
i need to make a vehicle maintenance log that will have 7 different vehicles, track all the oil changes, inspections, registrations that will notify us when something is expiring, and be able to attach receipts and documents to it. what is the best way to do this?Ignite your future with new security skills during Microsoft Ignite 2025
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Co-Authored By: aryananmol, laurenkirkwood and mmanley This article provides practical guidance on setup, cost considerations, and integration steps for Azure Databricks and Microsoft Fabric to help organizations plan for building a strong data governance framework. It outlines how Microsoft Purview can unify governance efforts across cloud platforms, enabling consistent policy enforcement, metadata management, and lineage tracking. The content is tailored for architects and data leaders seeking to execute governance in scalable, hybrid environments. Note: this article focuses mainly on Data Governance features for Microsoft Purview. Why Microsoft Purview Microsoft Purview enables organizations to discover, catalog, and manage data across environments with clarity and control. Automated scanning and classification build a unified view of your data estate enriched with metadata, lineage, and sensitivity labels, and the Unified Catalog gives business-friendly search and governance constructs like domains, data products, glossary terms, and data quality. Note: Microsoft Purview Unified Catalog is being rolled out globally, with availability across multiple Microsoft Entra tenant regions; this page lists supported regions, availability dates, and deployment plans for the Unified Catalog service: Unified Catalog Supported Regions. Understanding Data Governance Features Cost in Purview Under the classic model: Data Map (Classic), users pay for an “always-on” Data Map capacity and scanning compute. In the new model, those infrastructure costs are subsumed into the consumption meters – meaning there are no direct charges for metadata storage or scanning jobs when using the Unified Catalog (Enterprise tier). Essentially, Microsoft stopped billing separately for the underlying data map and scan vCore-hours once you opt into the new model or start fresh with it. You only incur charges when you govern assets or run data processing tasks. This makes costs more predictable and tied to governance value: you can scan as much as needed to populate the catalog without worrying about scan fees and then pay only for the assets you actively manage (“govern”) and any data quality processes you execute. In summary, Purview Enterprise’s pricing is usage-based and divided into two primary areas: (1) Governed Assets and (2) Data Processing (DGPUs). Plan for Governance Microsoft Purview’s data governance framework is built on two core components: Data Map and Unified Catalog. The Data Map acts as the technical foundation, storing metadata about assets discovered through scans across your data estate. It inventories sources and organizes them into collections and domains for technical administration. The Unified Catalog sits on top as the business-facing layer, leveraging the Data Map’s metadata to create a curated marketplace of data products, glossary terms, and governance domains for data consumers and stewards. Before onboarding sources, align Unified Catalog (business-facing) and Data Map (technical inventory) and define roles, domains, and collections so ownership and access boundaries are clear. Here is a documentation that covers roles and permissions in Purview: Permissions in the Microsoft Purview portal | Microsoft Learn. The imageabove helps understand therelationship between the primary data governance solutions, Unified Catalog and Data Map, and the permissions granted by the roles for each solution. Considerations and Steps for Setting up Purview Steps for Setting up Purview: Step 1: Create a Purview Account. In the Azure Portal, use the search bar at the top to navigate to Microsoft Purview Accounts. Once there, click “Create”. This will take you to the following screen: Step 2: Click Next: Configuration and follow the Wizard, completing the necessary fields, including information on Networking, Configurations, and Tags. Then click Review + Create to create your Purview account. Consideration: Private networking: Use Private Endpoints to secure Unified Catalog/Data Map access and scan traffic; follow the new platform private endpoints guidance in the Microsoft Purview portal or migrate classic endpoints. Once your Purview Account is created, you’ll want to set up and manage your organization’s governance strategy to ensure that your data is classified and managed according to the specific lifecycle guidelines you set. Note: Follow the steps in this guide to set up Microsoft Purview Data Lifecycle Management: Data retention policy, labeling, and records management. Data Map Best Practices Design your collections hierarchy to align with organizational strategy—such as by geography, business function, or data domain. Register each data source only once per Purview account to avoid conflicting access controls. If multiple teams consume the same source, register it at a parent collection and create scans under subcollections for visibility. The imageaboveillustrates a recommended approach for structuring your Purview DataMap. Why Collection Structure Matters A well-structured Data Map strategy, including a clearly defined hierarchy of collections and domains, is critical because the Data Map serves as the metadata backbone for Microsoft Purview. It underpins the Unified Catalog, enabling consistent governance, role-based access control, and discoverability across the enterprise. Designing this hierarchy thoughtfully ensures scalability, simplifies permissions management, and provides a solid foundation for implementing enterprise-wide data governance. Purview Integration with Azure Databricks Databricks Workspace Structure In Azure Databricks, each region supports a single Unity Catalog metastore, which is shared across all workspaces within that region. This centralized architecture enables consistent data governance, simplifies access control, and facilitates seamless data sharing across teams. As an administrator, you can scan one workspace in the region using Microsoft Purview to discover and classify data managed by Unity Catalog, since the metastore governs all associated workspaces in a region. If your organization operates across multiple regions and utilizes cross-region data sharing, please review the consideration and workaround outlined below to ensure proper configuration and governance. Follow pre-requisite requirements here, before you register your workspace: Prerequisites to Connect and manage Azure Databricks Unity Catalog in Microsoft Purview. Steps to Register Databricks Workspace Step 1: In the Microsoft Purview portal, navigate to the Data Map section from the left-hand menu. Select Data Sources. Click on Register to begin the process of adding your Databricks workspace. Step 2: Note: There are two Databricks data sources, please review documentation here to review differences in capability: Connect to and manage Azure Databricks Unity Catalog in Microsoft Purview | Microsoft Learn. You can choose either source based on your organization’s needs. Recommended is “Azure Databricks Unity Catalog”: Step 3: Register your workspace. Here are the steps to register your data source: Steps to Register an Azure Databricks workspace in Microsoft Purview. Step 4: Initiate scan for your workspace, follow steps here: Steps to scan Azure Databricks to automatically identify assets. Once you have entered the required information test your connection and click continue to set up scheduled scan trigger. Step 5: For Scan trigger, choose whether to set up a schedule or run the scan once according to your business needs. Step 6: From the left pane, select Data Map and select your data source for your workspace. You can view a list of existing scans on that data source under Recent scans, or you can view all scans on the Scans tab. Review further options here: Manage and Review your Scans. You can review your scanned data sources, history and details here: Navigate to scan run history for a given scan. Limitation: The “Azure Databricks Unity Catalog” data source in Microsoft Purview does not currently support connection via Managed Vnet. As a workaround, the product team recommends using the “Azure Databricks Unity Catalog” source in combination with a Self-hosted Integration Runtime (SHIR) to enable scanning and metadata ingestion. You can find setup guidance here: Create and manage SHIR in Microsoft Purview Choose the right integration runtime configuration Scoped scan support for Unity Catalog is expected to enter private preview soon. You can sign up here: https://aka.ms/dbxpreview. Considerations: If you have delta-shared Databricks-to-Databricks workspaces, you may have duplication in your data assets if you are scanning both Workspaces. The workaround for this scenario is as you add tables/data assets to a Data Product for Governance in Microsoft Purview, you can identify the duplicated tables/data assets using their Fully Qualified Name (FQN). To make identification easier: Look for the keyword “sharing” in the FQN, which indicates a Delta-Shared table. You can also apply tags to these tables for quicker filtering and selection. The screenshot highlights how the FQN appears in the interface, helping you confidently identify and manage your data assets. Purview Integration with Microsoft Fabric Understanding Fabric Integration: Connect Cross-Tenant: This refers to integrating Microsoft Fabric resources across different Microsoft Entra tenants. It enables organizations to share data, reports, and workloads securely between separate tenants, often used in multi-organization collaborations or partner ecosystems. Key considerations include authentication, data governance, and compliance with cross-tenant policies. Connect In-Same-Tenant: This involves connecting Fabric resources within the same Microsoft Entra tenant. It simplifies integration by leveraging shared identity and governance models, allowing seamless access to data, reports, and pipelines across different workspaces or departments under the same organizational umbrella. Requirements: An Azure account with an active subscription. Create an account for free. An active Microsoft Purview account. Authentication is supported via: Managed Identity. Delegated Authentication and Service Principal. Steps to Register Fabric Tenant Step 1: In the Microsoft Purview portal, navigate to the Data Map section from the left-hand menu. Select Data Sources. Click on Register to begin the process of adding your Fabric Tenant (which also includes PowerBI). Step 2: Add in Data Source Name, keep Tenant ID as default (auto-populated). Microsoft Fabric and Microsoft Purview should be in the same tenant. Step 3: Enter in Scan name, enable/disable scanning for personal workspaces. You will notice under Credentials automatically created identity for authenticating Purview account. Note: If your Purview is behind Private Network, follow the guidelines here: Connect to your Microsoft Fabric tenant in same tenant as Microsoft Purview. Step 4: From your Microsoft Fabric, open Settings, Click on Tenant Settings and enable “Service Principals can access read-only admin APIs”, “Enhanced admin API responses within detailed metadata” and “Enhance Admin API responses with DAX and Mashup Expressions” within Admin API Settings section. Step 5: You will need to create a group, add the Purviews' managed identity to the group and add the group under “Service Principals can access read-only admin APIs” section of your tenant settings inside Microsoft Fabric Step 6: Test your connection and setup scope for your scan. Select the required workspaces, click continue and automate a scan trigger. Step 7: From the left pane, select Data Map and select your data source for your workspace. You can view a list of existing scans on that data source under Recent scans, or you can view all scans on the Scans tab. Review further options here: Manage and Review your Scans. You can review your scanned data sources, history and details here: Navigate to scan run history for a given scan. Why Customers Love Purview Kern County unified its approach to securing and governing data with Microsoft Purview, ensuring consistent compliance and streamlined data management across departments. EY accelerated secure AI development by leveraging the Microsoft Purview SDK, enabling robust data governance and privacy controls for advanced analytics and AI initiatives. Prince William County Public Schools created a more cyber-safe classroom environment with Microsoft Purview, protecting sensitive student information while supporting digital learning. FSA (Food Standards Agency) helps keep the UK food supply safe using Microsoft Purview Records Management, ensuring regulatory compliance and safeguarding critical data assets. Conclusion Purview’s Unified Catalog centralizes governance across Discovery, Catalog Management, and Health Management. The Governance features in Purview allow organizations to confidently answer critical questions: What data do we have? Where did it come from? Who is responsible for it? Is it secure and compliant? Can we trust its quality? Microsoft Purview, when integrated with Azure Databricks and Microsoft Fabric, provides a unified approach to cataloging, classifying, and governing data across diverse environments. By leveraging Purview’s Unified Catalog, Data Map, and advanced governance features, organizations can achieve end-to-end visibility, enforce consistent policies, and improve data quality. You might ask, why does data quality matter? Well, in today’s world, data is the new gold. References Microsoft Purview | Microsoft Learn Pricing - Microsoft Purview | Microsoft Azure Use Microsoft Purview to Govern Microsoft Fabric Connect to and manage Azure Databricks Unity Catalog in Microsoft Purview
