With WPS Spreadsheet’s Power Query, users can seamlessly import, refine, and prepare data from multiple origins without coding

No matter if your data comes from Excel spreadsheets, comma-separated values, relational databases, online websites, or cloud platforms

Even users with zero coding experience can execute sophisticated data manipulations through simple clicks

First, open your spreadsheet and locate the Data ribbon to access Power Query tools

From there, locate the Get Data button, which opens a menu listing all available data sources

Options range from importing CSV and Excel to connecting to Oracle, MySQL, SharePoint, and JSON feeds

Each selection guides you through a step-by-step process to connect to the desired data source

Before finalizing, Power Query shows you a preview window to review the structure and content of the data

Previewing helps catch common problems like extra headers, misplaced rows, or mismatched delimiters

You can fix misaligned headers by selecting the correct row with one click, even if it’s not the first

Cleaning data becomes effortless thanks to Power Query’s built-in transformation engine

You can remove unwanted columns, split or merge text fields, change data types, filter out rows based on specific criteria, and even replace errors or blank values with defaults

The entire cleaning process is designed for visual interaction, removing the need for scripts or formulas

The system maintains a detailed history of transformations, enabling you to modify or rollback any stage of cleanup

Power Query lets you update imported data with a single click, pulling the latest version from the source

After you import your data and load it into the spreadsheet, you can reconnect to the original source at any time and refresh the dataset with a single click

Ideal for dynamic datasets like real-time inventory, financial trends, or hourly web metrics

Automatic refreshes remove the burden of manually updating tables or pasting new values

Power Query also supports combining multiple data sources into a single table

For example, gather 12 monthly Excel files and combine them into one annual table in seconds

You can join tables using shared identifiers like CustomerID, OrderNumber, or ProductCode to combine related data

When handling hundreds of datasets, Power Query enforces uniform transformations to preserve accuracy and reliability

Consistency across datasets leads to more precise insights and eliminates misleading anomalies

The query acts as a reusable template that can be applied to new datasets with minimal adjustments

Confirm your edits by clicking the Close and Load button to complete the import process

The cleaned dataset is inserted into your spreadsheet as a dynamic Excel table with full formatting

You can choose to load it to a new worksheet or an existing one, depending on your needs

After loading, the data functions identically to native Excel tables — fully compatible with charts, wps下载 slicers, and formulas

Power Query is a must-have for analysts, researchers, and educators dealing with complex or recurring data tasks

No longer is importing data a chore — Power Query makes it fast, accurate, and effortless

Let Power Query handle the grunt work so you can concentrate on what matters: understanding and presenting your data

Whether you are a business analyst, researcher, or student, mastering Power Query will significantly enhance your productivity and data handling skills