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

Data sources range from local Excel and CSV files to online APIs, databases, and cloud storage systems

The interface is designed for non-technical users, enabling powerful data handling without SQL or Python

Start by launching WPS Spreadsheet and heading to the Data section in the top toolbar

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

Available sources include From Text File, From Excel File, From Website, From SQL Server, and beyond

You’ll be led through an interactive sequence that adapts to the specific requirements of each source

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, missing values, or inconsistent formatting

For instance, if your header row is incorrectly placed on row 3, just click to set it as the header row

Power Query automates data cleanup with remarkable efficiency

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

A standout capability is Power Query’s dynamic data refresh functionality

A single Refresh button reconnects and updates your entire dataset, saving hours of repetitive work

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

You no longer need to download, open, and copy-paste data from external files

Power Query also supports combining multiple data sources into a single 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

Match datasets via unique keys — such as Employee ID or SKU — to merge complementary fields from different sources

When working with large or complex datasets, Power Query helps maintain data integrity by applying consistent transformations across all imported files

This reduces the risk of human error and ensures that your analysis is based on accurate, standardized information

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

To finalize your import, click Close and Load in the Query Editor

It executes every step you defined and places the processed data directly into your workbook as a structured table

Choose destination: either create a new worksheet or insert the table into an existing one

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

In summary, WPS Spreadsheet’s Power Query is an essential tool for anyone who regularly works with external data

The tool converts cumbersome data prep into an efficient, repeatable system

By leveraging its intuitive interface and robust transformation capabilities, users can save time, reduce mistakes, and focus more on analyzing data rather than preparing it

Anyone who works with data, whether in finance, science, or education, will find Power Query indispensable