Genivee Janna June 7, 2021 Spreadsheet
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.
The former hangs like a transparent curtain four feet above the floor and shrink-wraps itself to anyone bold enough to attempt passing through. The latter represents a fragrant blend of beer, cheap cologne, and unkempt toilets, and assaults an unsuspecting visitor‘s nose like an aggressive index finger. By Saturday, the fragrance would be pungent enough to cause mere mortals to speak in tongues. Lance led the way with Lester in tow, dodging around dark figures that emerged from the nicotine and odoriferous fog. Lester had difficulty keeping up, licking the lenses of his glasses and tie-drying them as they wove their ways toward diffused light they assumed was the bar area where lusty women awaited.
When Microsoft Excel is used to manipulate, store and analyse data it can become extremely difficult to manage, let alone efficiently work to produce any meaningful insights. This is because with data sets large and small, the data must be meaningful, logical, structured, internally consistent and clean. This holds true regardless of whether the data has been imported into excel from another system or manually entered. In this computing age, most people know that for any data set to be useable it must first be relatively structured and clean. A spreadsheet and its table layout naturally encourages data to be somewhat structured, however ensuring data is clean is also difficult.
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.
He grossed $2,000 a week for his bosses, and earned slightly less than $500 for himself. Still, the wages kept him in seeds, bowling shoes, stick pins, and a Platinum Buddy Holly Fan Club Membership. Lester‘s favorite word was ”crapola,” and he applied it to the ball bearing factory‘s antiquated data processing system in coats as thick as the olive drab membrane clinging to the smudgy glass before him. ”You piteous piece of crapola!” he‘d hiss at the computer when error messages flashed across its screen or its ancient system locked under the demand of crunching numbers to the tenth decimal point. ”Some day I‘ll throw your sorry ass into one of those melting pots out there!”
Whilst Excel cannot clean or structure all of your data for you it does come with some useful functionality for manipulating and analysing clean and structured data sets. This in-built functionality includes pivot tables, sorting and filtering. Filtering alone is a powerful tool and can help to quickly isolate data based on specified criteria. But what happens if your data is clean but not very structured (a common problem). For instance what if you, a client or your team is using colours, fonts or some kind of formatting to classify data in an Excel spreadsheet. In short, you wont be able to filter the data, because Excel‘s in-built filtering logic requires rules based on numbers, dates and text only. It will not perform filtering based on formats. In addition Excel filtering only applies down rows. It will not perform filtering across columns.
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