Differences Between SPSS vs EXCEL
SPSS is referred to as the Statistical Package for Social Science. SPSS is the major market occupier in terms of statistical packaging tools which can efficiently be used as the derivative for the data manipulation and storage. It is basically used for batch processing in terms of interactive batches and non-interactive batches.
It was the product incubated by SPSS Inc., then it was acquired by IBM in 2009 and it comes under the umbrella and was re-named as IBM SPSS Statistics in 2015 version. Currently, it has a stable build of V-2015.
SPSS comes with an open source version under the name of PSPP. It fairly serves the process of statistics and formulation of data manipulation techniques with very few exceptions which are being used for the professional manipulation of large data chunks. It has a very nice attribute with open source version that it won’t expire in future you may proceed with the same for the time you want to use.
SPSS provides graphics that have more analytical features. After you have created a standard graphic in SPSS you can highlight data or ranges, etc. SPSS also allows you to output graphics as HTML5 / .mht files. This makes them accessible through a web browser.
Excel allows a user to store information in a tabular format and interact with their data in an infinite number of ways. The most common is to sort and filter data as well as using formulas and pivot tables to manipulate the data to create new insights.
Excel also allows multiple methods of importing and exporting data allowing it to be integrated into workflows. It also has its own programming ability to automate steps or create your own custom functions known as VBA.
Excel is the tool used for data entry and creating records which can be used further used and manipulated with respect to the user demands and be it manipulation or managing the data it is a very viable tool to use. It also provides the flexibility to use an external database to do analysis, make reports, etc. thus saving lots of time. Excel with the latest versions is having high graphics tools and visualization techniques.
Head to Head Comparison Between SPSS and EXCEL
Below is the top 8 Differences Between SPSS and EXCEL:
Key Differences Between SPSS and EXCEL
Below are the lists of points, describe the key Differences Between SPSS and EXCEL:
1. The SPSS is the tool used for computations that consist of different subjects such as Data Storages and Data formats., whereas Excel comprises of mathematics concepts as well, such as Statistics, Algebra, Calculus, Advanced Statistics etc.,
2. SPSS gives us knowledge on how the process is built in batches and work and the memory management in the programming areas. Excel gives us a view of how data can be used to study on how the data will be stored, processed and manipulated to reduce the redundancy and making it meaningful for further usage.
3. SPSS gives us detailed insight into the utilization of computing storages and efficiency of the memory system. Excel reveals on how to extract information and knowledge from data in various format.
4. SPSS sub-areas include computations, probabilistic theories, reasoning, discrete structures, and database. Excel includes much more formulated and simpler mathematical operations and analytics.
5. SPSS is the major batch processing and statistical tool whereas Excel is a standard data manipulation application.
6. SPSS is completely about efficiently using data manipulation techniques to fetch good results and Excel is about safely handling and storing the data.
7. SPSS is completely batch processing with stats whereas Excel is data computing and formulation technique.
8. SPSS is evolving with advanced concepts and more efficient and advanced algorithms are coming under IBM. Excel is growing fast day by day causing more complex to handle it and maintain efficiently but still needs much more improvements.
9. The SPSS deals with statistical algorithms with more focus on data manipulation. Excel is the combination of mathematics and data storage with multiple formats.
SPSS and EXCEL Comparison Table
Following is the comparison table between SPSS and EXCEL.
BASIS FOR
COMPARISON |
SPSS | EXCEL |
Definition | Statistical package for social science, a tool formulated for statistical analysis of data. | Microsoft’s product used for data entry and data manipulation to store some information. |
Usage | Statistical calculations and manipulation of data as per IBM guidelines. | Managing and storing data with formulated operations defined by Microsoft. |
Benefits | Speed and Performance | Reduction in Data Redundancy |
Real Time Usage | Usage of advanced and ultra-fast devices like supercomputers | Maintenance and Handling of large volumes of customer data |
Academics | Exists since from many years under the SPSS umbrella now under IBM | Exists and evolved with developing branch of science and technology |
Industry | Data Scientist / Analyst are the professions to become after studying in this field | Data Scientist / Analyst are the professions to become after studying in this field |
Applications | Applies to all technical industries and large-scale companies | Applies to companies where large-scale sensitive data is to be managed |
Field | Covers entire technological field which is a superset of Data Science | A subset of computer science where the study of data is done by using different methods and technologies |
Conclusion
Finally to conclude there is huge Difference Between SPSS and Excel. Excel is spreadsheet software, SPSS is statistical analysis software.
In Excel, you can perform some Statistical analysis but SPSS is more powerful. SPSS has built-in data manipulation tools such as recoding, transforming variables, and in Excel, you have a lot of work if you want to do that job.
SPSS allows you to perform complex analytics such as factor analysis, logistic regression, cluster analysis etc. etc.
In SPSS every column is one variable, Excel does not treat columns and rows in that way (in treating volume and rows SPSS is more similar to Access than to Excel).
Excel does not give you a paper trail where you can easily replicate the exact steps that you took. It also starts becoming unwieldy to use when the number of variables and observations starts getting really large.
But both SPSS and EXCEL serve you the purpose in their domains exceptionally well. So, both SPSS vs EXCEL are the kings of their territory.
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