# SPSS vs Excel: Which Tool is The Best One For Statistics

Are you interested in knowing the comparison between SPSS vs Excel? Would you like to know which tool is the best one for statistics between SPSS and Excel? If yes, then you have come to the right place. SPSS vs Excel is always a big concern among statistics students. Before going deeper, Letâ€™s start with a short introduction to each of these terms.

## SPSS

SPSS (Statistical Packages for Social Science) in terms of statistical packaging tools, it is the leader of the market. There are various SPSS uses that are considered as the data manipulation and storage derivative. There are two batch processing methods: first one is interactive batches and the second one is noninteractive batches.

It was created by SPSS Inc., but it was eventually purchased by IBM in 2009. SPSS was previously known as “under the umbrella.” SPSS was renamed by IBM SPSS in 2015 after being acquired by IBM.

Also, an SPSS open-source version is available which is known as PSPP. With very few exceptions, the statistical process and the formation of techniques of data manipulation are used in this process. By using these statistics and the formulation the large data chunks are professionally manipulated. The SPSS open-source version is a good one, and it wonâ€™t expire in future.

Anybody can use the software of SPSS for lifetime. For analytical features, SPSS is the best one to provide the graphics of high-quality.

The best part of this software is when you create standard graphics in this software. Then you can output the graphics as HTML5 files. It means that you can access these files through your browser too. This means you can use your browser to access these files as well.

## Excel

Excel is user-friendly statistical and one of the most powerful software. It enables you to store data in a tabular format, that is, in rows and columns. In a variety of ways, you can also interact with your data .

By using some of the potent formulas you can sort and filter the data. Excel’s pivot tables are its best feature. By manipulating the data you can create new insights and for this you can use pivot tables.

Excel has a number of features which helps you with statistics. And also for importing and exporting of the data, there are multiple ways for it. You can also integrate the data into the workflow.

Like no other statistics software, By using its programming abilities, excel allows you to create the custom function.

Excel’s main function is to create data records and change them according to the needs of the users. As mentioned previously, Excel allows you to analyse, create reports, and so on using an external database.

And nowadays, Excel offers the best graphical user interface as well as the ability to use graphics tools and visualisation techniques.

## SPSS vs EXCEL: The Key Differences

The following are lists of points that explain the key differences of SPSS vs EXCEL:

1. SPSS provides us with clear information or insight about the computing storageâ€™s utilization and the memory system’s efficiency. Excel shows how to extract the information as well as knowledge from data in a variety of formats.
2. SPSS shows us how to build processes in batches and work, as well as how to manage memory in programming. Excel provides a view of how data can be used for studying on how data will be stored, processed, and manipulated in order to avoid redundancy and for future use make data relevant.
3. SPSS is a tool which is used for computing that includes subjects like Data Storages and Data Formats, whereas Excel includes mathematics concepts like Statistics, Algebra, Calculus, and Advanced Statistics, etc.
4. Computations, probabilistic theories, reasoning, discrete structures, and databases are all included in the SPSS sub-areas. Excel has a lot more mathematical operations and analytics that are more simple.
5. SPSS is all about using the techniques of manipulation of data efficiently to fetch the good results and Excel is all about correctly processing and storing data.
6. SPSS is a tool which is batch processing with stats, whereas Excel is a data computing and technique of formulation.
7. SPSS is the major batch processing & statistical tool whereas Excel is a standard application of data manipulation.
8. SPSS is evolving with concepts that are advanced oneâ€™s, and IBM is developing more efficient and advanced algorithms. Excel is becoming more complex to operate and maintain on a daily basis, but it still needs improvements.
9. By focusing on manipulation of data SPSS deals with the statistical algorithms. Excel is a combination of data storage and mathematics in a variety of forms.

## Conclusion

The above information defines SPSS vs Excel effectively. And we hope that now you should know all about SPSS vs Excel. And you can decide which tool is the best one for statistics between SPSS and Excel. But if in any case, you want our spss help, then contact us without any hesitation. We are 24*7 available here to help you.

## FAQs

### Is SPSS better than Microsoft Excel?

Yes, SPSS is better when it comes to data analysis because it is specifically created for statistics. SPSS and Microsoft Excel have a similar look and feel, with menus, spreadsheets, and built-in statistical functions. But when we compared SPSS to Microsoft Excel, SPSS has:
1. Basic functions, such as descriptive statistics, are easier and faster to reach with pull-down menus.
2. There are many different charts and graphs to pick from.
3. Statistical tests can be accessed more quickly.

### Is SPSS difficult to use?

The fundamentals of SPSS are generally simple to understand, but knowledge and awareness to subtle details are required to write efficient and elegant syntax.

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