WPS Spreadsheet’s Power Query is a powerful tool designed to simplify and streamline the process of importing, transforming, and cleaning data from a wide variety of sources
Data sources range from local Excel and CSV files to online APIs, databases, and cloud storage systems
Its user-friendly design lets anyone carry out advanced data tasks without writing a single line of code
Initiate the process by selecting the Data tab from the ribbon menu in your WPS Spreadsheet
Click the Get Data option to reveal a comprehensive list of supported import types
CSV, Excel Workbook, Web Page, SQL Database, and numerous others
Each option walks you through a guided wizard to establish a secure and accurate connection
The system opens the Query Editor interface, giving you a live preview of the incoming dataset
This preview is crucial because it allows you to inspect the structure of the data and spot potential issues such as misaligned columns, wps官网 missing values, or inconsistent formatting
If the column titles appear on row 2 or 4, a single click lets you reassign the header row
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
Your changes are preserved as editable steps, giving you full control to undo or resequence operations
The tool’s automatic refresh feature ensures your spreadsheet always reflects current data without manual reimport
Once loaded, simply click Refresh to pull updated data from the original file or server
Ideal for dynamic datasets like real-time inventory, financial trends, or hourly web metrics
By keeping your queries up to date, you eliminate the need for manual reentry or copy-pasting of data
You can consolidate datasets from various files, folders, or servers into a single cohesive table
For instance, if you have monthly sales data stored in separate Excel files, you can use Power Query to import all of them at once and append them into one consolidated table
Similarly, you can merge tables based on common key columns, such as customer ID or product code, to enrich your dataset with additional information from related sources
When working with large or complex datasets, Power Query helps maintain data integrity by applying consistent transformations across all imported files
Consistency across datasets leads to more precise insights and eliminates misleading anomalies
Additionally, since all transformations are stored as part of the query, you can easily share your data import process with colleagues or reuse it in other projects
Press Close and Load to finalize your transformations and push the clean data into your spreadsheet
All modifications are finalized and the output appears as a fresh, ready-to-analyze table
Select whether the output should appear in a new tab or overwrite an existing table
After loading, the data functions identically to native Excel tables — fully compatible with charts, slicers, and formulas
In essence, this feature transforms how professionals and students manage data from outside sources
No longer is importing data a chore — Power Query makes it fast, accurate, and effortless
Users benefit from faster workflows, fewer typos, and more time dedicated to insight generation
Anyone who works with data, whether in finance, science, or education, will find Power Query indispensable
