Rose Nélia June 7, 2021 Spreadsheet
I don‘t think so. My husband and I weren‘t a great married couple but we were excellent business partners. We almost never, actually maybe NEVER, fought about money. We agreed on how to raise our kids and were always honest about our finances. He made a lot of money and I had some money of my own from my grandmother and would inherit when my parents died. I knew that we would be able to sort through these things better on our own. Most significantly, he LOVED to make spreadsheets and certainly would not be willing to pay someone else make one for him. I did some research on the internet to see what our options would be. I knew we couldn‘t do it ourselves but that we would need some assistance because our finances were complicated. I learned about divorce mediators, professionals who work with couples at an hourly fee to help them navigate the process. It sounded like it would work for us so we agreed to find one. And we did. Well, I did.
Unfortunately an internal rate of return is time dependent so the amount you can withdraw depends on when you take it. Suffice to say, the only way to calculate the amount you can take e.g. halfway through the life of the fund, is by trial and error. If you are evaluating a number of investment opportunities, that can be a very time consuming process. Therefore Microsoft have built the Goal Seek function to aid your spreadsheet development. Since Excel 2007, it has been available from the Data ribbon. In earlier versions of Excel, it was present from the Tools menu. It gets straight to the point. It asks you which value you would like to fix (in this case the investor‘s return), what you would like to fix it to, and asks what you would like to change. All fields can accept cell references. It will then calculate the input through trial and error.
These common complaints with Microsoft Excel filtering are heard time and time again by engineers, accountants, management consultants, bankers and finance professionals who work with data in Excel spreadsheets on a daily basis. Many spreadsheet users including financial modellers (who seem to be leading the charge) are turning towards Excel Add-ins and software tools that plug into Microsoft Excel to help them improve the in-built filtering logic of Microsoft Excel and thus analyse certain data sets quickly and easily.
As a set of general rules data is most useful when things like text fields hold only names as well as meaningful and validated codes, categories and classifications. Text notes and other free form text should be isolated to a dedicated notes field and thus separated from other numeric data. Numeric fields should hold only numeric values (numbers, dates, %‘s and in the correct quantum or magnitude with no text prefixes, suffixes, spaces, text elements or text notes present. You must also be careful that numeric data is not stored as text and it should be internally consistent in terms of the correct format so that it can be used in calculations or for comparison and queries. Finally, addresses should be separated out into multiple fields such as street address, town /suburb, state / province, postal code and country to allow for geographic analysis and mail outs if required. Fixing up a data set to meet these criteria is called data scrubbing, cleansing or massaging. This data cleansing process can be very time consuming even for an experienced Microsoft Excel user, database engineer, business analyst or computer programmer.
Here‘s where the expense sheet gets complex. All of your categories of spending go in column A. Get as detailed as you like, or keep it really simple and just put the basic categories. Generally, the more detail the better. it‘s also helpful to have categories for your categories. A Utilities category for your power, gas, water, etc, categories. Again, detail is good, but be wary of going into too much detail. Column B is where you‘ll put the amount that you‘re budgeting for that category. Column C, how much you‘ve spent on that category to date. If you like (or are a statistics junkie) you can add columns for % of budgeted amount, and % of total budget as well. For our simple budget, we‘ll just leave that out for now.
Given this data set imagine trying to find out which Fridays you were busy at an appointment at noon while your partner was also busy at an appointment at noon and the descriptions of both of your appointments contained the phrase down town. If you are not familiar with relational databases and SQL it might surprise you to know that the question can be answered by a single simple SQL query. The database and SQL don‘t have it all their own way however. Spreadsheets come in to their own for tasks that benefit from a visual representation. Traditionally databases do not provide a visual way to browse the data in tables without explicitly requesting data.
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