Among data analysis software, which one is better, Excel or SPSS?
Students who have studied quantitative analysis in college must have a deep understanding of this. Sometimes when a large amount of data is given, it is difficult to directly analyze and get the results you want simply using Excel. This is the best time Combined with spss software for data analysis, the data obtained will be more diverse. In fact, both have their own characteristics and need to be distinguished.
In terms of popularity, EXCEL is widely popular and can be used by both professionals and non-professionals; SPSS is relatively small in popularity. It is a professional statistical software, mostly used in social sciences, and is used by relatively few people. Mostly used for data analysis and data compilation.
In terms of focus, SPSS mainly does some statistical analysis. SPSS is the earliest statistical analysis software in the world and is proficient in the principles of statistical analysis. Because of its more professional operation, SPSS has already been used in the social sciences in my country. , all fields of natural science have played a very large role that cannot be ignored. spss data analysis software can also be used in various fields such as economics, mathematics, statistics, logistics management, biology, psychology, geography, medical and health, sports, agriculture, forestry, commerce, etc. It is a very powerful professional software Data analysis software. EXCEL can also do statistical analysis, but its functions are not as intuitive as SPSS. However, the ability of EXCEL to process data should not be underestimated. If you are not doing professional statistical analysis of data, for most people, EXCEL should be more suitable for general office work.
In terms of professionalism, spss is a professional statistical analysis software and has strong adaptability to data analysis. However, excel is not suitable for simple problems, such as graphing, descriptive statistics, correlation coefficients, variance analysis, etc. Both are relatively fast, but the analyzed results are quite different from those of spss, and you need to redesign the calculation process yourself to check whether the conditions for using the method are met, etc. Therefore, compared with the two, spss is more professional.