wps office下载 Spreadsheet offers a powerful yet underutilized feature known as What-If Analysis Tables, which enables users to construct dynamic analytical frameworks for analyzing how changes in one or two variables affect the outcomes of formulas in a worksheet. This functionality is particularly valuable for financial forecasting, resource allocation, sensitivity analysis, and what-if exploration. Unlike simple manual adjustments, Data Tables automate the process of testing multiple input combinations and display results in a clean, organized format.

To create a one variable data table, begin by setting up your base formula in a cell that depends on a single input value. For example, if you are calculating loan payments based on an interest rate, place the PMT function in a cell with a reference to a cell containing the interest rate. Then, list a series of interest rates in a column next to the formula. Select the range that includes the formula and all the input values. Navigate to the Data tab, click What If Analysis, and choose Data Table. In the dialog box, specify the cell reference for the input variable—this is the cell your formula depends on—and leave the other field blank. WPS Spreadsheet will then populate the table with calculated results for each input value.

For two variable data tables, the process is similar but requires a grid of inputs. Place one set of input values in a column and another in a row, with the formula in the origin cell where the row and column intersect. Select the entire grid including the formula, row headers, and column headers. Again, access the Data Table option under Data Modeling Tools. This time, assign the column header reference and the row header reference to reflect the two variables your model depends on. The resulting table will show how different combinations of the two variables influence the outcome, making it easier to detect thresholds.

One of the key advantages of using Data Tables is their automatic updating capability. When the base formula or input values change, the table refreshes instantly, ensuring your analysis remains current without requiring manual recalculations. This makes Data Tables ideal for continuous sensitivity testing where multiple scenarios need to be tested efficiently. Additionally, because the results are displayed in a tabular format, they are intuitive to read and can be embedded in presentations.

It is important to note that Data Tables are static in terms of their calculation method—they do not support circular references. Therefore, they should be used for deterministic models where outcomes are directly derived from inputs. Users should also avoid placing additional calculations within the table range, as this can trigger calculation errors.

For advanced users, combining Data Tables with defined names enhances readability. Naming the input cells and output ranges makes it easier to select inputs in the setup window and simplifies future modifications. Furthermore, formatting the table with borders, shading, and conditional formatting can emphasize critical results.

In summary, WPS Spreadsheet’s Data Tables provide a streamlined, efficient method for modeling interdependent parameters and results. Whether you are evaluating investment returns, testing discount tiers, or projecting revenue trends, Data Tables accelerate analysis speed to conduct thorough what if analyses. By leveraging this feature, users can move beyond fixed values and develop more strategic predictive frameworks.