Excel Tutorial: Where Is Power Query In Excel 2019


Are you struggling to find Power Query in Excel 2019? Look no further, because in this tutorial we will walk you through its location and how to access it. Power Query is an essential tool in Excel 2019 that allows users to discover, connect, and transform their data with ease. If you're new to Power Query, don't worry, we will also provide an overview of what it is and its benefits.

Key Takeaways

  • Power Query in Excel 2019 is an essential tool for discovering, connecting, and transforming data with ease.
  • Understanding the location and accessing Power Query is crucial for harnessing its capabilities.
  • Power Query offers advantages for data cleaning, manipulation, and analysis compared to traditional Excel data tools.
  • Exploring and utilizing Power Query can greatly enhance data manipulation needs in Excel 2019.
  • Power Query provides a user-friendly interface for importing, transforming, and analyzing data for more efficient and effective data processing.

Overview of Excel 2019 Interface

Excel 2019 comes with a user-friendly interface that makes it easier for users to access various features and functionalities. With the introduction of Power Query, accessing and transforming data has become even more convenient.

A. Location of the Data tab

The Data tab in Excel 2019 is located at the top of the application window, next to the Home tab. This tab is where users can find a range of data-related features and tools, including the Get & Transform Data group.

B. Navigating the Ribbon to find the Get & Transform Data group

To locate the Get & Transform Data group within the Data tab, users can simply look for the "Get Data" and "Get & Transform Data" options in the ribbon. These options are prominently displayed and provide quick access to the Power Query functionality.

  • 1. Get Data: This option allows users to import data from various sources such as databases, online services, and files.
  • 2. Get & Transform Data: This option provides access to the full suite of Power Query features, including data transformation, querying, and connections.

Accessing Power Query in Excel 2019

Microsoft Excel 2019 comes with a powerful data transformation tool called Power Query, which allows users to easily import, transform, and analyze data from a variety of sources. Accessing Power Query in Excel 2019 is a straightforward process, and this tutorial will guide you through the steps to locate and use this feature.

Step-by-step instructions to locate Power Query in the Data tab

  • Step 1: Open Microsoft Excel 2019 and launch the workbook in which you want to use Power Query.
  • Step 2: Navigate to the "Data" tab in the Excel ribbon at the top of the screen.
  • Step 3: Look for the "Get & Transform Data" group within the Data tab. This is where you will find the Power Query tools.
  • Step 4: Click on the "Get Data" option within the "Get & Transform Data" group. This will open a drop-down menu with various data import options, including Power Query.
  • Step 5: Select "From Other Sources" from the drop-down menu, and then choose "From Microsoft Query" to access Power Query.

Demonstrating how to access Power Query through the 'From Table/Range' option

  • Step 1: Once again, open your Excel workbook and navigate to the "Data" tab.
  • Step 2: Select the range of cells or table within your workbook that you want to import into Power Query.
  • Step 3: Click on the "From Table/Range" option within the "Get & Transform Data" group on the Data tab. This will prompt Excel to open the selected data in Power Query for further transformation and analysis.
  • Step 4: Alternatively, if you want to use Power Query to connect to an external data source, such as a database or online service, you can choose the "From Database" or "From Online Services" options within the "Get Data" drop-down menu.

Understanding Power Query Features

Power Query is a powerful tool in Excel 2019 that allows users to easily manipulate and clean data. By understanding its capabilities and advantages, you can streamline your data processing tasks and improve the quality of your analysis.

A. Exploring the capabilities of Power Query for data manipulation
  • Connect to various data sources

    Power Query allows you to connect to a wide range of data sources such as databases, Excel files, text files, and online sources. This flexibility makes it easy to extract and combine data from different sources for analysis.

  • Transform and clean data efficiently

    With Power Query, you can easily clean and transform your data using a variety of built-in functions and transformations. This includes tasks such as removing duplicates, splitting columns, and replacing values.

  • Combine and merge data tables

    Power Query enables you to merge and combine multiple data tables into a single dataset, making it easier to analyze and visualize the information.

B. Discussing the advantages of using Power Query for data cleaning and transformation
  • Automate data cleaning tasks

    Power Query allows you to create reusable data cleaning workflows, which can be automated and applied to new data with just a few clicks. This saves time and reduces the risk of errors.

  • Enhance data quality and consistency

    By using Power Query to clean and transform your data, you can improve its quality and ensure consistency across different sources. This is essential for accurate analysis and reporting.

  • Empower non-technical users

    Power Query's user-friendly interface and intuitive functions make it accessible to non-technical users, allowing them to perform complex data manipulation tasks without the need for advanced Excel skills.

How to Use Power Query for Data Analysis

Power Query is a powerful tool in Excel 2019 that allows users to easily import, transform, and analyze data. In this tutorial, we will provide examples of how Power Query can be used for data analysis and demonstrate the process of importing and transforming data using Power Query.

A. Providing examples of how Power Query can be used for data analysis
  • 1. Cleaning and formatting data

    Power Query can be used to clean and format data by removing unnecessary columns, renaming columns, and changing data types. For example, it can be used to remove blank rows, fix formatting inconsistencies, and standardize date formats.

  • 2. Combining data from multiple sources

    Power Query can merge or append data from multiple sources into a single dataset, making it easy to analyze data from different sources in one place. For example, it can combine data from Excel files, databases, and web sources.

  • 3. Unpivoting and transposing data

    Power Query can unpivot and transpose data to restructure it for analysis. For example, it can convert columns to rows or rows to columns, making it easier to perform calculations and create visualizations.

B. Demonstrating the process of importing and transforming data using Power Query
  • 1. Importing data into Power Query

    To import data into Power Query, users can go to the "Data" tab in Excel, select "Get Data," and choose the source of the data (e.g., Excel, CSV, database, web, etc.). They can then navigate through the query editor to preview and select the data to import.

  • 2. Transforming data in Power Query

    Once the data is imported, users can apply various transformations in the Power Query editor, such as filtering rows, removing duplicates, adding custom columns, and performing calculations. These transformations allow users to clean, reshape, and prepare the data for analysis.

  • 3. Loading the transformed data into Excel

    After applying the desired transformations, users can load the data back into Excel by clicking "Close & Load" in the Power Query editor. The transformed data will then be available in a new or existing worksheet for further analysis and visualization.

Comparing Power Query with other Excel Data Tools

When it comes to data manipulation and analysis in Excel 2019, the Power Query tool stands out from traditional data manipulation methods. Let's delve into the differences and benefits of using Power Query over other Excel data tools.

A. Contrasting Power Query with traditional data manipulation methods
  • Data Sorting and Filtering

    Traditional data manipulation in Excel involves manual sorting and filtering, which can be time-consuming and prone to errors. Power Query, on the other hand, offers a more efficient and automated approach to data sorting and filtering.

  • Data Cleaning and Transformation

    With traditional methods, data cleaning and transformation tasks often require complex formulas and manual steps. Power Query simplifies this process with its user-friendly interface and built-in transformation tools.

  • Data Joining and Merging

    Traditional Excel tools may require complex VLOOKUP or INDEX-MATCH formulas for joining and merging data from multiple sources. Power Query provides a simpler and more intuitive way to handle these tasks.

B. Highlighting the benefits of using Power Query over other Excel data tools
  • Efficiency and Automation

    Power Query allows users to automate repetitive data manipulation tasks, saving time and reducing the risk of errors compared to manual methods.

  • Flexibility and Scalability

    Power Query offers a wide range of data transformation and analysis features, making it suitable for handling large and complex datasets that may be challenging for traditional Excel tools.

  • Integration with External Data Sources

    Power Query seamlessly integrates with various external data sources such as databases, web services, and SharePoint, providing more comprehensive data connectivity compared to traditional Excel tools.


In summary, Power Query is an essential tool in Excel 2019 for data manipulation and analysis. Its ability to easily transform, merge, and clean data sets makes it a valuable asset for any Excel user. We encourage all our readers to explore and utilize Power Query for their data manipulation needs. With Power Query, you can save time and effort in handling your data, and uncover valuable insights that can drive better decision-making.

So, don't hesitate to dive into Power Query and unleash its potential for your data management tasks.

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