Excel is an excellent tool for data analysis. With its large number of built-in functions and tools, Excel makes it easy to analyse your data. Analysing data refers to reading and understanding the information in your data set. This can involve using visual representations of the data, such as charts, tables, and graphs, to get a clearer picture of what your data shows. If you are new to using Excel for analysing data, the software may seem slightly overwhelming at first glance. However, once you understand how everything fits together, it’s not so difficult after all!
In this article, we will introduce you to some useful tips related to using Excel for Data Analysis. Let’s get started!
What is Microsoft Excel?
Ever since 1984, when it was first made available for the Apple Mac, Microsoft Excel has been around. Microsoft Excel 2.0 was redesigned for a new platform and released in 1987 when the company finally released its own computer and operating system.
In 1990, features including 3D Charts, Outlining, Toolbars, and Drawing Capabilities were added to the run-time version of Windows. When Microsoft Excel was introduced, the PDF format had not yet been created; it was not created until 1993.
In Microsoft Excel versions released in the 2010s and later, there are now chart updates, recommendations for users on which Pivot Tables to employ, and other features all designed to make Microsoft Excel for data analysis better.
Microsoft Excel for Data Analysis
Microsoft Excel soon gained popularity as the most widely used spreadsheet and established itself as the de facto standard for spreadsheets. Business professionals and researchers have long relied on Microsoft Excel as their go-to tool for data analysis and visualisation.
Business professionals and researchers use this software to perform both complex Data Analyses and simple Mathematical Computations. The main purpose of anyone using excel is to combine different data points and use them to tell a coherent story. It can be done affordably using Microsoft Excel.
Microsoft Excel for Research Work
Microsoft Excel, a software for creating spreadsheets, can be used successfully in both qualitative and quantitative research projects. Microsoft Excel can store and manage both quantitative and qualitative data since it can accommodate vast amounts of data. While there are a number of data analysis software for quantitative data readily available in the market, these tend to make a dent in your pocket and being a student spending that kind of money is not always possible. As an alternative Microsoft Excel works like a gem for students as it is free and more accessible. And if we compare it with other specialised software, we will come to the conclusion that the recognizable user interface of Microsoft Excel makes it easier to understand and use.
Regardless of the method being utilised, it is a good idea to think about how you will arrange your time at the beginning of a project. Microsoft Excel can also be useful here! You may quickly and easily construct a Gantt Chart using Microsoft Excel that shows visually how much time you anticipate spending on each task in your project as well as the sequence in which you want to complete these various tasks.
Similarly, Microsoft Excel enables you to make different charts, graphs, and even some infographics and maps to help you display data while you’re sharing the results of your research. If you’re creating an academic poster, these can be really useful. You can choose, for a qualitative project, to use the map tool to highlight the participants’ locations. As an alternative, you might describe the demographics of your respondents using some of the infographics.
However, using Microsoft Excel to assist in the analysis of qualitative data is also a possibility. You can use it to organise and sort huge amounts of data. For instance, making a table that summarises your codes or themes after you have transcribed your qualitative data can be helpful. Then, you can use Microsoft Excel’s filter feature to limit the display of data to just that one theme you want. Alternatively, you can colour-code cells with content related to one of the identified themes using the conditional formatting tool. This might be very useful if you need to find keywords rapidly.
Key Features of Microsoft Excel for Data Analysis
Some key features that students who are working on their research can use for data analysis.
Data Visualisation
Charts and Pivot Charts are the two data visualisation tools available in Microsoft Excel for Data analysis. Microsoft Excel Charts’ use of colour, simple presentation, and adaptability aid in understanding the results of data analysis. Microsoft Excel offers a variety of chart formats, including Column Charts, Pie Charts and Linear Charts.
Summarise large datasets with Pivot Tables
If you have large datasets, you might want to use Pivot Tables. Pivot Tables are a useful tool that allows you to group and summarise your data. You can then take this summarised data and use it to create charts, tables, and other fields. In many ways, Pivot Tables are like databases. But they also allow you to do more with your data. Pivot Tables are particularly useful if you have data in different sheets or cells outside of your spreadsheet. With Pivot Tables, you can bring this disconnected data back together. You can also use them to summarise and analyse data from other sources, such as websites. With Pivot Tables, you can also create custom fields. This is particularly helpful if you want to add extra information to your data, such as visual graphs.
Conditional Formatting
Using conditional formatting in Microsoft Excel, you can highlight cells in a specific colour depending on the value of the cell and the criteria they provide. It’s a great technique for emphasising information graphically or spotting patterns and irregularities in data.
LOOKUP
One of Microsoft Excel’s most well-known features for data analysis is the ability to match data from a table with an input (LOOKUP) value. you can use this feature in two ways: Vector and Array Form.
- You can use the Lookup function’s Vector format to search for a single value in 1 column (VLOOKUP) or 1 row (HLOOKUP). The V in VLOOKUP refers to a Vertical Search (looking up information in a single column), and the H in HLOOKUP refers to a Horizontal Search (looking up information in a single row).
- The Array Form of LOOKUP searches the first row or column of an array for the specified value and returns a value from the same point in the last row or column of the array. The Array Form of LOOKUP is useful if the values that need to match are in the array’s first row or column.
Functions
Microsoft Excel comes equipped with over 400 different functions that can help with different things such as data cleaning, sorting, filtering and much more. Each function is used for its own unique application, some of them are as follows
- CONCATENATE: It is used when you need to combine several cells’ values into one cell
- SORT: Arrange and sort data in a list as per the given instructions
- SUMIFS: it sums values that meet specified criteria.
- TRIM: it is used to clear out or delete spaces and characters from the text.
- MEDIAN: it is used to find the middle number in a given number
Analysis ToolPak
It is a set of add-ins for Microsoft Excel that include tools for financial, statistical, and engineering data analysis. Here, you just need to supply the input data and certain parameters; the chosen tool will then carry out the necessary calculations on its own. Several of the tools include ANOVA, T-Test, Random Number Generator, and Descriptive Statistics.
What-If Analysis
You can easily compare the outcomes of several scenarios by using What-if Analysis. To do this, you need to manipulate cell values to observe how they influence the results of formulas on the worksheet. Three What-If Analysis tools are available in Microsoft Excel for Data Analysis, which are:
- Data Table
- Scenario Manager
- Goal Seek
Conclusion
Whether you’re a student, a business owner, or just like to keep track of things, you’ll probably find Excel to be an extremely useful and helpful program. With the right tips and tricks, it’s easy to learn the basics of this software. From creating basic formulas to summarising large datasets with Pivot Tables, these tips will help you master Excel like a pro.
