Power Query for Excel and Power BI Users
Learn Power Query for Excel and Power BI Step by Step
Introduction
Power Query is a powerful tool for importing, cleaning, transforming, and combining data.
It is available in both Excel and Power BI, and it helps users avoid repeated manual cleanup work. Instead of cleaning the same type of data again and again, you can build a query once and refresh it whenever new data arrives.
Whether you work in Excel reports or Power BI dashboards, Power Query helps you prepare clean, reliable data for analysis.
What is Power Query?
Power Query is a data preparation tool used to import, clean, transform, combine, and load data.
In simple words, Power Query helps you take messy data and turn it into clean, structured data for PivotTables, reports, dashboards.
Power Query is an ETL tool.
Extract → Transform → Load
- Extract means getting data from a source.
- Transform means cleaning and reshaping the data.
- Load means sending the cleaned data to Excel, Power Pivot or Power BI data model.
Power Query is especially useful when the same type of cleanup has to be done repeatedly.
Power Query Evolution
Power Query has grown from an Excel add-in into a major data preparation tool across Microsoft products.
It first appeared as an add-in for Excel users, helping them connect to different data sources, clean data, and load it into Excel for analysis. Later, Power Query became a built-in part of Excel and was also included in Power BI.
Today, Power Query is used in both Excel and Power BI as a core tool for data preparation. It also appears in other Microsoft data platforms, making it useful for users who work with reports, dashboards, databases, and business data.
The main purpose has remained the same:
Get data → clean it → transform it → load it for analysis.
Why Power Query Exists?
Many Excel and Power BI users receive data that is not ready for analysis.
The data may have unwanted rows, blank columns, wrong headers, extra spaces, inconsistent dates, or values spread across many files.
Without Power Query, users often clean this data manually again and again.
Power Query exists to reduce this repeated manual work.
Once the cleanup steps are created, the same process can be repeated by refreshing the query. This saves time, reduces errors, and makes reporting easier to maintain.
What Power Query Is Used For?
Power Query is commonly used to:
- Import data from different sources
- Clean messy data
- Remove unnecessary rows and columns
- Fix headers
- Change data types
- Split or combine columns
- Filter data
- Merge tables
- Append tables
- Combine files from a folder
- Prepare data for PivotTables, reports, dashboards, and data models
In Excel, Power Query is often used before creating PivotTables and reports.
In Power BI, Power Query is used before building data models, visuals, and dashboards.
Data Sources Power Query Can Connect To
Power Query can connect to many different types of data sources.
Common examples include:
- Excel workbooks
- CSV and text files
- Folders containing multiple files
- Web pages
- PDF files
- Microsoft Access databases
- SQL Server databases
- SharePoint folders
- OneDrive files
- Databases and online services used in Power BI
This makes Power Query useful in many real-world situations.
Data may come from exported reports, downloaded files, business systems, websites, or shared folders. Instead of copying and pasting manually, Power Query can connect to the source and repeat the same cleanup steps whenever the data is refreshed.
Power Query in Excel and Power BI
Power Query is available in both Excel and Power BI.
The basic idea is the same in both tools. You connect to data, clean it, transform it, and load it for analysis.
In Excel, Power Query can load data into
- an Excel Table
- a PivotTable
- the Power Pivot Data Model
The PivotTables and Reports can be created from Data Model.
In Power BI, Power Query can load data only into a Data model.
The Visuals and Reports can be created from the Data Model. The Reports can be published to Power BI.com and Dashboards can be created in Power BI.com.
So, learning Power Query helps both Excel users and Power BI users.
Typical Power Query Workflow
A typical Power Query workflow looks like this:
Get Data → Clean Data → Transform Data → Combine Data → Load Data → Refresh
This workflow is the reason Power Query is so useful for repeated data cleaning and reporting tasks that occur at regular intervals.
When You Should Use Power Query
You should consider using Power Query when:
- You clean similar data again and again
- You receive regular reports from another system
- You need to combine many files
- You need to merge lookup tables
- Your data has unwanted rows, columns, or blanks
- You want reports that can be refreshed
- You want to reduce copy-paste work
- You want cleaner source data for Excel or Power BI reports
Power Query is most useful when the work is repeated.
Even if a task is done only once, it is easy and accurate when done with Power Query than manual cleanup. Also, the solution can be reused as is if required, or some modifications can be done easily.
Power Query Features, Usage, and so on – coming soon …