It reduces the manual work of the user to a great extent. It offers a wide range of methods, graphs and charts to you. It also comes with a better screening and cleaning option of the information as a preparation for further analysis.
In this, the output is kept separate from the data itself. It stores the data in a separate file. The Data View is a Spreadsheet that contains rows and columns; the Data Can be entered in the Data View Sheet Either Manually, or the data can be imported from the data file, it can read the data file in any of the one format, which can be Excel, Plain text files or relational SQL Databases, Before importing the excel sheet change the excel file format to. Analyze: After the data is imported or entered in the data view sheet, you can run the reports and analyze the data using the Analyze option on Top Toolbar; you can find All the Analytical tools in this option; let Us take that we have to find the Mean, Median, Mode for the data that is entered,.
Histogram — is widely used to check the data in case of One Variable Tests — Creating a histogram is already explained;.
Majorly Tests can be diversified based on the purpose, and it can be 2 Types — Comparison Tests and Association Test; Comparison Test can be further divided into 3 types based on the number of variables you want to compare, one variable tests, two variable tests and multivariable test;. The Output Window consists of 2 Segment — Left-hand side, you can see the output outline, and the right-hand side is the Actual Output, Output Outline will show the Titles, and the subtitles of the Output organized in a hierarchy tree structure, by clicking the title or the subtitles you can view the actual output; You can hide or delete the branch of the tree structure,.
The Table can be easily copied and pasted in the Word or Excel Sheet; the Same is the Graph or Chart that is displayed in the Actual Output can also be copied and pasted. The Data Editor Window will be saved in. The bottom line is though Excel offers a good way of data organization, it is more suitable for in-depth data analysis.
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