Julita Lily-Rose June 5, 2021 Spreadsheet
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.
Spreadsheets such as Microsoft Excel are well suited to tasks involving the manipulation of small amounts of related data. Working out a budget, producing visual reports, organizing lists and calculations that involve many variables are all tasks well suited to a spreadsheet. There are some data related tasks however that spreadsheets such as Microsoft Excel are not suited for. Tasks involving the processing and combination of large sets of data for example are generally not well suited to spreadsheets. There is another technology with a long history and theoretical background that specializes in these sorts of tasks. That technology is relational databases. The most common way people insert data into and extract data from relational databases is via the language of Structured Query Language.
”Happy crapola!” he exclaimed, rising from the rollered chair and scooping accordion folds of printouts into his tattered briefcase. He snatched his worn black suit coat from a hanger on the back of the office door, switched off the fluorescent overheads, and walked to the executive offices in the adjoining building. When his audit week ended, Lester typically teamed with Lance Lott for a tour of the local watering holes. Lance was a marketing guy he‘d met when he first worked the Bourgeois account. Lance also was single, and resembled Keanu Reeves on a bad hair day. Lester considered him a ”chick magnet,” and although he himself never got lucky on their semi-annual expeditions, the other always disappeared with a babe on his arm. Lester decided, tonight would be HIS night.
Lester P. Goodbinder had suffered another agonizing week in Pittsburgh. The semi-annual audit he conducted at the Bourgeois Ball Bearing Factory stretched into five 14-hour days examining electronic spreadsheets on an archaic computer system installed in the early ‘80s. The equipment churned so abysmally he cleverly joked to himself it was powered by lazy hamsters on treadmills. Not only that, the accounting software loaded on the system was an early version of ”Abacus,” and only slightly faster than a key-punch adding machine but considerably slower than a hand-held calculator.
Additionally, it would prevent pirating software and Microsoft would be able to have a steady stream of income and continually upgrade their software without having to worry about people stealing their software code. Google of course is beta testing their similar project in order to head Microsoft off at the pass and compete with them for the new paradigm of computing on the Internet. If all your data was stored you would never have to worry about your computer crashing because everything is backed up somewhere else and safe.
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.