The only way to fix this seems to alt tab out of the excel window and then back in again before it starts reading the cells, all be it very slowly. I have noticed this is particularly present when inputting numbers, which you can do by using the price column in my excel sheet i've attached.
sometimes there is no speech at all when moving between cells, particularly if i have entered something into a cell and then hit enter to update it. with office 2010, this does not appear to be an issue. I have attached an excell file which you can see the problem in.
I have seen this issue on many different types of coputer. Sometimes it can take up to 2 seconds to move between cells. However, this is NOT RECOMMENDED as you or someone else could easily forget to recalculate the data table at some point.When using MS office 2016 as a direct enterprise install, or MS office 365, I notice a real slow down when using ms excel and using the arrow keys to navigate between cells. Excel allows you to turn off automatic data table recalculation (Formulas>Calculation Options>Automatic Except for Data Tables). Data tables can significantly slow down recalculation of a worksheet or workbook.However, there are some workarounds for this.
Data tables cannot be used in a different worksheet than your input cells. And, like before, select the temperature input cell as the column input cell, since the column contains temperature data.Ĭlick OK and the table is completed, allowing us to see the sensitivity analysis Excel calculation of force to both temperature and coefficient of thermal expansion:ĭata tables are a powerful tool that can even open the door to advanced Monte Carlo Simulation in Excel. Since the rows contain the variable coefficient of thermal expansion data, select that input cell as the “row input cell”. Next, select all of the rows and columns in the table and open the Data Table tool. Now we can enter a row of thermal expansion coefficients next to the result cell: We can leave the column of temperature, but we’ll delete the existing force results and move the result to the cell immediately above the temperature column. So let’s look at what happens to our force as both the temperature and coefficient of thermal expansion vary. This allows us to create two-variable data tables. You may have noticed that the data table dialog has an input for both column and row inputs. When we click OK, the Output is a table of force with respect to temperature that enables us to view the sensitivity of the force to changes in temperature. By doing so, the data table knows to substitute the temperature values in the column with the temperature variable in the calculated force. Since the columns contain temperature values, we’ll select the temperature input cell as the “column input cell”. Open the Data Table tool from Data>What-If Analysis> Data Tables. Then, select the range that contains the column of varying inputs as well as the result cell. In the cell immediately above and to the right, calculate the result or link to the cell that already contains the result. The first step in creating a data table that predicts force as a result of changing temperature is to create column of varying temperature somewhere on the worksheet. Single-Variable Sensitivity Analysis Excel Data Tables If we want to understand how the force changes with a change in temperature due to the thermal expansion coefficient, we can create a data table. The result for a single set of inputs is shown below: The change in force is described by the equation: In this example, we’ll look at the variation in force in a simple fixed-length column that is subjected to changes in temperature. Excel has a built-in tool called Data Tables that allows us to make the transition from deterministic to probabilistic analysis quickly. To understand how much the randomness affects performance, we can perform a sensitivity analysis Excel calculation, where we vary one or more of the inputs and see how it causes a desired output to change. However, the fact is that all variables that affect the performance of a design exhibit randomness (the smart word is “ probabilistic“). 
In other words, we assume that they are repeatable and we can know exactly what they will be beforehand. All too often in engineering we tend to assume that the variables that affect our designs are (*fancy word alert*) “ deterministic“.
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