Mignonette Romy June 5, 2021 Spreadsheet
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.
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.
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.
Here‘s a very simple budget set up. Keep a simple income spreadsheet. List all the sources by name in column A. List how much each brings in in column B. And then, any notes you have for the income (like if it is temporary) in column C. You don‘t need to get very detailed with the income, because it only needs to be accounted for so that we can budget for it‘s use. And, the incomes use is in our expenses spreadsheet. This spreadsheet will be much more complex than the income one. You‘ll need a field for income that you carry over from the income sheet. You‘ll also need a field for a total expenses budgeted for. A third field will give us the budget surplus. We get that by subtracting the budgeted amounts from the income amount. A final field will subtract the actual amount spent from the income, and will serve to tell us where we stand in our budget. If you like, you can add another field that subtracts the actual amount spent from the amount budgeted.
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.
Now switch to your Excel spreadsheet and select the entire data table which you have created as the basis of your invoice. Either click the ‘copy‘ button or simply right click and select ‘copy‘, then transfer to your Word document and place the cursor where you wish to paste the spreadsheet. What you do next really depends upon which version of Microsoft Word you are using. In Word 2007 you need to click the drop down arrow on the ‘paste‘ button, which is the first icon on the ‘home ‘ribbon. Now you need to select ‘paste special‘ and in the dialogue box choose ‘paste link‘ and select Microsoft Excel Worksheet Object. If you are using Microsoft Word 2003, click ‘edit‘ on the menu bar and select ‘paste special‘. The resulting dialogue box is the same as for Word 2007.