If that isn’t where you wanted your filter to be, highlight the row you want to treat as the header, then click the “Filter” icon. Excel will then display a filter arrow in the first row of the dataset.

Click the “Filter” icon on the Sort & Filter command group.

(If there are blank rows within the dataset, highlight the entire range.)

Click any cell within the dataset that you want to create a filter for.

With advanced filtering techniques, you can extract exactly what you want from a larger dataset and place it in a new location, allowing you to work with only data that’s relevant for a particular purpose.Įxcel allows you to choose from simple auto-filters to more advanced filters, as well as the (fairly new) FILTER function. It’s not just a way of temporarily hiding data that you don't want to see. Learning how to filter in Excel is another useful analysis tool.

Select additional sorting columns if necessary.

If your highlighted range includes data headings, tick “My data has headers”.

The primary purpose of sorting is to get your data ready for even more in-depth analysis, but sorting will usually do the trick if you just want to arrange things in a logical order. You can also sort in whatever order is useful - for example, from oldest to newest or vice versa, by column or row, and you can even do multi-level sorting. Excel allows you to sort by numbers, text, date, or even color. Sorting data is the first step to getting things organized. Let’s start with the simplest form of data analysis: sorting.

From here you’ll be able to import, sort, extract, convert, and otherwise massage simple and complex data in various ways. The Data tab on the Excel ribbon is the home of commands which can transform your data from simple numbers into meaningful answers.

The most obvious place to look for data analysis tools in Excel is on the Data tab. Versatility - Excel is a great way to venture into data analysis in baby steps, from simple data collection to formula creation, to integration with Power BI.īelow is your guide to all things data analysis in Excel.Familiarity - Microsoft applications are familiar to most people so Excel’s commands and keyboard shortcuts are similar to those used in many other applications, making the interface largely intuitive.Popularity - Since the Microsoft Office suite is standard in most business software, Excel is likely already loaded on your machine and the machines of folks with whom you will be sharing documents.Of course, Microsoft Excel isn’t the only tool available for data analysis at work, but it is one of the favorites for a couple of reasons: It establishes relationships or patterns between different sets of data so that you’re in a better position to respond to current and future situations of that nature.

Data analysis is taking raw data and turning it into information that’s useful for decision-making.

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