Rose Nélia June 6, 2021 Spreadsheet
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.
These common complaints with Microsoft Excel filtering are heard time and time again by engineers, accountants, management consultants, bankers and finance professionals who work with data in Excel spreadsheets on a daily basis. Many spreadsheet users including financial modellers (who seem to be leading the charge) are turning towards Excel Add-ins and software tools that plug into Microsoft Excel to help them improve the in-built filtering logic of Microsoft Excel and thus analyse certain data sets quickly and easily.
At times, Lester became so furious his face radiated heat and fogged his glasses. When this happened, he yanked them from his puffy eyes and wiped the lenses with his tie. On this late Friday afternoon, however, Lester felt exhilarated. The printer regurgitated its last run of printouts and as he scanned the rows of figures he penciled in tick marks to indicate matches with numbers found in the corporate ledgers. The task complete for another 180 days, he removed his glasses, rubbed his aching eyeballs, and inhaled deeply to savor the fluttery feeling of excitement flooding his upper chest. Then, Lester logged off the computer, tapped the surge protector power switch with his toe, and shut down the wheezing system.
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.
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?
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.