Jeannette Layna June 6, 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.
”Rippeto‘s Rendezvous” was only a block away, and attracted patrons from all levels of the social spectrum: Primarily fringe types, college students, and the occasional Young Urban Professional. It was near the University, and close to Civic Arena and Three Rivers Stadium. On clear nights, you could look out Rippeto‘s windows and see the Monongahela River afire in the distance. Two things are striking about Rippeto‘s when one weasels through the wall of humanity standing outside, and plasters oneself against an identical living wall inside: The smoke and the smell.
He was an ex-divorce attorney who had seen firsthand what a messy thing divorce was when lawyers were involved. He developed a program where a couple would meet together, with him present, and work through the divorce piece by piece. Property, finances, kids, pensions. It was a great system. And he was cheap! Relatively speaking. It took about 10 months including some stops and starts (”what do you mean you want some of my inheritance? if you want my inheritance then you STAY married to me”) but in the end we were able to come to terms with each other in a reasonable and fair way.
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.
About four months after my husband asked for a divorce I made an appointment to meet a divorce attorney recommended by my therapist. She was 60 years old, short, smart and focused. I thought she was great. She charged $350.00 per hour. It was good that she was focused. I was at the time furious at my husband for his recent behaviors and I told her that I wanted to file for divorce immediately. Could she explain the process to me?
Microsoft Excel is a phenomenally powerful calculator. You can create spreadsheets with 10,000 lines of data and calculate subtotals instantly. Indeed, if you change your data, any totals will get automatically updated. Arguably that‘s not too impressive. If we have quarterly revenues of $1m, and we secure another $20k, we can update our subtotal without summing revenues from scratch. So it‘s more impressive that Excel can do the same thing with statistical functions. If you‘ve ever plotted a chart on Excel, you may be aware that you can add a best fit line. These best fit lines are calculated using a method known as regression. Basically, you have to calculate the distance of every single point from the line, and minimise the sum. The maths is a little more sophisticated but the key point is that, every time you change the data, you need to perform the analysis all over again.