Celestia Maddy June 6, 2021 Spreadsheet
Structured Query Language, often referred to as SQL, is a grammar of instructions that allows us to tell a relational database to add, modify or delete data. The key benefit, pardon the pun, of SQL is that it allows us to craft instructions relating large sets of data together. In this way SQL is the natural complement to the single cell and formula based interface of spreadsheets like Microsoft Excel. Imagine you had five hundred appointments from your business calendar laid out in a table. Each appointment might have a day, time, location and description. Now imagine you also had five hundred appointments from your partners business calendar, also each having a day, time, location and description.
Templates are spreadsheets that are pre-formatted with text, colors, and/or formulas. They can be used to save you time and effort. Sometimes you are using a workbook as a template and don‘t even realize it. By this I mean you have a spreadsheet that you use daily, weekly or monthly. You may have to modify a few cells but the remainder of the spreadsheet is exactly the way you want it. It may be tedious to modify the cells but it is easier than recreating it from scratch. Guess what, you have the basis of a template!
In a well-designed spreadsheet, any output can be calculated from the raw data. However, that‘s not always enough. Sometimes the output is fixed and the raw data is variable. Let‘s say you run an investment company and want to offer your clients a fixed return. An Excel expert could create a very complex model to calculate the likely return on investments over a fixed period. You could then calculate the internal rate of return being offered to clients. The problem is that you‘re not interested in the return offered to clients; that is, after all, fixed. Instead you‘re concerned with how much money you expect to draw from the investment fund, whilst still offering your investors a satisfactory return. If you have $1 and owe investors a quarter, you can calculate your profits using a simple formula.
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.
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?
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.