Lucille Rose May 30, 2021 Spreadsheet
Microsoft plans to have this program up soon and now Google is beta testing a similar situation, which would allow you to do essentially the same thing. Why is this good? Well, consider the Digital divide in the world and if everyone just had a terminal rather than a big hard drive with lots of expensive stuff on the computer then they can store all their information at one location. By doing this, the computers would actually be terminals and it would be very inexpensive to make them, meaning that everyone in the world could afford to have one and everyone in the world could be online and interconnected in a giant collective of humanity. There would be no one who would be without the Internet and this would bring the world closer together in a common cause.
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.
Lester loved his numeric universe, but this was not how he had envisioned his life unfolding; flying hither and thither from his hometown of Hershey to wherever his firm wished to send him. Just because he was 38, single, and still living with his folks didn‘t mean his employer should take advantage of him which, in fact, his company did on a regular basis. After all, Lester had other important interests, too. The ”Four Bs” he called them: Botany, bowling, bugs and Buddy Holly. Myriad plants crowded his tiny room in his parent‘s house, forcibly sucking carbon dioxide out of anyone who entered. Bowling trophies – ranging in size from tiny silver cups to massive bronze edifices shaped like the Empire State Building – claimed space not dominated by flower pots, planter boxes, and hanging baskets.
Lester‘s temporary office at the Factory was glassed on all sides, and surrounded by the sights, sounds, searing temperatures, and smells of the smelting and pouring areas. Originally, the cubbyhole had been used for storing coal and coke until the plant converted to gas-fired furnaces in the mid-‘50s. Over the next three decades a succession of plant superintendents used the room to boink their secretaries, which necessitated its windows being painted a squalid olive drab. During 10 years of performing this chore every six months, Lester had scraped two panes clear, so now he could gaze into the murky, smoky, smelly pit outside as he waited for the grinding computer and clackety printer to spit out a stream of spreadsheets.
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.
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.
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