Some of the important functions are explained below: Step 2 : Data ProcessingĮxcel allows you to process data using several formulas and built in functions. Now choose a network location which can be accessed by all the users you want to share the data with. Go to the Advanced tab and select appropriate options for track and update changes.Ĥ. This also allows workbook merging’ check box.”ģ. ![]() Click the check box which says “’Allow changes by more than one user at the same time. Click on the “Review” tab and then click on “Share Workbook” button.Ģ. ![]() If you need to collect data from several Excel sheets, ie “collating data”, you can do this easily.ġ. We’d recommend you try out an in depth Excel Data Analytic course to understand them all. Similarly, you can fill in the Meeting Day column by dragging the “Monday”.Īpart from the Auto Fill function, there are several other functions in Excel that allow for smarter data gathering like DOLLAR, EXACT, FIXED, PROPER, REPT, SUBSTITUTE, VALUE etc. Now drag the cells and auto fill will automatically fill in the data for you. Click on the column Country and you will see an X appear at the lower right hand corner of the cell.Ģ. Here, let’s fill the columns “Country” and “Meeting day” with Auto-Fillġ. Auto Fill function automatically allows you to fill in the data in the cells as per the pattern previously followed in the other cells.įor example, the table below lists 3 columns of data namely company name, country name and meeting day. Step1 : Data GatheringĮxcel allows you to gather data like measurement of distance and weight or simple polls to choose the best performing car. Taking the above example, complete description of each of the model falls under the qualitative data. This type of data cannot be used as a statistical unit of measurement and hence accuracy is often undetermined. A numeric variable is computed and more complex and widely distributed statistical formulas can be created using this mode of analysis.ĭata that cannot be represented in the form of a number but rather expressed as other variables like meanings of ambiguous words, gender classification, religious preferences etc are known as qualitative data. For example, if you want to classify laptops into four colors namely red, black, green and violet, you can use the quantitative data model and count the number of features available under every color. This type of data is used for statistical analysis and gives you a greater level of accuracy in your final results. Data may be classified into two main forms:ĭata that can be represented in the form of a number is known as quantitative data. To start the process of data analysis, the first step is to correctly classify and store your data. In this tutorial, we explore the d ifferent ways you can use Excel to analyse and interpret your data. ![]() Microsoft Excel provides simple and easy to use functions to help you correctly analyze and present the data in ways that help get meaningful conclusions from the data. ![]() Every business sector today requires data interpretation in some form or the other. Data analysis is the process of identifying, processing and modeling data with the sole purpose of extracting factors that aids in decision making.
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