Merci Amaya June 6, 2021 Spreadsheet
”Rippeto‘s Rendezvous” was only a block away, and attracted patrons from all levels of the social spectrum: Primarily fringe types, college students, and the occasional Young Urban Professional. It was near the University, and close to Civic Arena and Three Rivers Stadium. On clear nights, you could look out Rippeto‘s windows and see the Monongahela River afire in the distance. Two things are striking about Rippeto‘s when one weasels through the wall of humanity standing outside, and plasters oneself against an identical living wall inside: The smoke and the smell.
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?
Second – Planning your Budget – is this easy or are you going to start over from scratch? If you kept good records and have accurate figures, then you have a great start for you next meeting. It is easy to modify last year‘s information and make changes for this year. That will be necessary for a variety of reasons. You will need it to tell your hotel contact what you want and you will also need it to prepare this year‘s budget. Third – Budgeting Spreadsheet for Meetings – take the easy way out. Use a spreadsheet that will make your job easy. There are excel spreadsheets that can do it for you. Do not waste your time trying to design something that already exists and is proven to save you effort and stress.
Given this data set imagine trying to find out which Fridays you were busy at an appointment at noon while your partner was also busy at an appointment at noon and the descriptions of both of your appointments contained the phrase down town. If you are not familiar with relational databases and SQL it might surprise you to know that the question can be answered by a single simple SQL query. The database and SQL don‘t have it all their own way however. Spreadsheets come in to their own for tasks that benefit from a visual representation. Traditionally databases do not provide a visual way to browse the data in tables without explicitly requesting data.
If you wanted to make this spreadsheet into template, you would need to take two more steps. The first step would involve modifying the spreadsheet to display only the data that remains the same. If you are constantly changing certain cells, you would leave these cells formatted but blank. The last step involves saving this spreadsheet as a template. Once this is done, you would always have access to a clean spreadsheet that is formatted the way you want and ready for your modifications. Microsoft has hundreds of free templates available. You can also download templates that are already loaded in your version of Excel. They are typically located under the File/New or Office Button/New option. When downloading these business and personal templates, be sure to monitor the version of Office that the template applies to. They have templates available for all of the versions of the Office Suites.
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.