Dianne Zélie June 3, 2021 Spreadsheet
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.
There seems to be a move on the Internet to have only terminals for Internet users and all the hard drive would be saved at giant Internet hubs. Microsoft would like to have all their programs at get their location and users would pay a monthly subscription fee for things like Microsoft Word and Microsoft XL. This way people could do there creating at their terminal and all the data would be backed up that Microsoft. Also, everyone could interface together since they all had the latest version with the latest features. It makes a lot of sense to do it this way.
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.
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.
One of the topics I cover on my Advanced Excel courses is hardly ‘advanced‘ at all, but it is a very useful and popular technique with my students. It makes use of the OLE capability to create invoices by embedding Excel data. First you need to create an Excel spreadsheet and format it in an appropriate manner, keeping in mind that this will form the basic structure of your invoice and will eventually be seen by your clients. You don‘t include any Company contact details or logos in the spreadsheet though as these will be incorporated into the Word document. The next step is to lay out the invoice itself in a Word document, based upon your normal Company letterhead. Leave the main body of the document empty as this is where the Excel spreadsheet will be embedded. All you need in this master Word document is your usual Company branding and contact information.
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