Lucille Rose May 1, 2021 Spreadsheet
Most planners are good at multi-tasking and have no problems designing a simple spreadsheet to handle a basic budget or designing a form to handle registration. So, you spend your time designing and stressing out. You end up with a variety of forms that each handle a specific need like registration, exhibits, food expenses and budget. The forms are not connected and do not work together. Hence, you end up having to do additional work merging the information from the various forms into your budget. Why do this when there is a Budget Spreadsheet for Meetings on the market that will tie your history, individual forms and budget together? It is so easy that all you have to do is enter the information. The spreadsheet does the rest.
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.
You can go over your budget as often as you like. Some find it easier to enter amounts every day after they‘ve settled in for the day. Others will choose to go over it monthly. Going over it weekly is likely where most will settle though. Occasionally, we‘ll have a surplus or deficit at the end of the month. Perhaps you‘ve spent too much, or not spent all that you thought you would. Spending too much can be troublesome, but not spending as much as you thought can be a lot of fun. You may want to consider adding a budget field carryover in the income sheet and one called shortfall in the expenses sheet. If you spent too much, the amount that you overspent by becomes your budgeted amount for shortfall in your expenses sheet the next month. Didn‘t spend enough, and you put that amount in the carryover field in the income sheet. This will help you keep track of all your money as well as account for any shortfalls.
When Microsoft Excel is used to manipulate, store and analyse data it can become extremely difficult to manage, let alone efficiently work to produce any meaningful insights. This is because with data sets large and small, the data must be meaningful, logical, structured, internally consistent and clean. This holds true regardless of whether the data has been imported into excel from another system or manually entered. In this computing age, most people know that for any data set to be useable it must first be relatively structured and clean. A spreadsheet and its table layout naturally encourages data to be somewhat structured, however ensuring data is clean is also difficult.
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.