Excel is an electronic spreadsheet program that can be used for storing, organizing and manipulating numbers and data. It's an amazingly flexible program to find answers to logic based questions. It is a program that can compile lots of data into graphs and tables.
When you create a spreadsheet or workbook then a corresponding file is created on your machine, that file is known as excel file.
There are numerous ways to do this. I think the easiest is to put the data in excel and have excel show the trend line, equation, andcorrelation coefficient. Excel gives you several options to choose for the trend line analysis. The other way is if it is a linear relationship, you can do the linear regression analysis following the steps listed in the related link. If you are not familiar with regression analysis, it may not be easy for you to follow.
You can take Excel training courses at your local community college, as well as online at the Microsoft website. Prices can vary, but there are a variety of ways to find them. Check the packaging for your program to find out where exactly to go online at the Microsoft wbsite to get the education you're looking for.
In versions up to Excel 2003, it is on the Data menu. From version 2007 onwards, you can find it on the Insert tab on the ribbon.
You may find an amortization calculator for excel at http://office.microsoft.com/en-us/excel-help/using-the-loan-amortization-and-loan-analysis-templates-HA001034640.aspx.
You can use the Filter feature.
There are many tools for data analysis: R language, SAS, SPSS, Excel, SQL, esProc, Matlab, etc. I just list a some. For techniques of data analysis, I think that depends on different people and different demands.
Excel Checker is an Excel add-on that can find every occurrence of cells containing Data Validation or Conditional formatting and list them out on a separate sheet.
Mac runs a different operating system than widows. You will have to find window equiivilent to an excel program.
A data analysis tool, such as Microsoft Excel or Google Sheets, can help you organize and analyze data effectively. Additionally, using search engines like Google or databases like PubMed can assist in finding information collected by others.
Scientists use statistical analysis tools to find patterns in their data. These tools help them identify relationships, trends, and correlations within their data sets, allowing for meaningful interpretations and insights to be derived. Examples of statistical analysis tools include regression analysis, hypothesis testing, and clustering algorithms.