%0 Journal Article %1 noauthororeditor %A Thu, Aung Cho | Aung Si %D 2019 %J International Journal of Trend in Scientific Research and Development %K Database Miining SPSS analyze employee is powerful to %N 5 %P 69-72 %R https://doi.org/10.31142/ijtsrd25213 %T Employees Data Analysis by Applied SPSS %U https://www.ijtsrd.com/computer-science/data-miining/25213/employees-data-analysis-by-applied-spss/aung-cho %V 3 %X SPSS is powerful to analyze employee data. This paper intends to support business leaders the benefits of data analyzing with applied SPSS. This paper shows whether facility rates is harmony on each employee rank or not. It showed the data analysis of employee facilities such as care support workplace meaningful salary and happiness given rates between 1 to 10. As SPSS's background algorithms it showed the mean algorithm for the tables. And then Sample data bank clean.sav' was downloaded from Google free share and was analyzed and viewed. It used IBM SPSS statistics version 23 and PYTHON version 3.7. Aung Cho | Aung Si Thu "Employees Data Analysis by Applied SPSS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd) ISSN: 2456-6470 Volume-3 | Issue-5 August 2019 URL: https://www.ijtsrd.com/papers/ijtsrd25213.pdfPaper URL: https://www.ijtsrd.com/computer-science/data-miining/25213/employees-data-analysis-by-applied-spss/aung-cho

@article{noauthororeditor, abstract = {SPSS is powerful to analyze employee data. This paper intends to support business leaders the benefits of data analyzing with applied SPSS. This paper shows whether facility rates is harmony on each employee rank or not. It showed the data analysis of employee facilities such as care support workplace meaningful salary and happiness given rates between 1 to 10. As SPSS's background algorithms it showed the mean algorithm for the tables. And then Sample data bank clean.sav' was downloaded from Google free share and was analyzed and viewed. It used IBM SPSS statistics version 23 and PYTHON version 3.7. Aung Cho | Aung Si Thu "Employees Data Analysis by Applied SPSS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd) ISSN: 2456-6470 Volume-3 | Issue-5 August 2019 URL: https://www.ijtsrd.com/papers/ijtsrd25213.pdfPaper URL: https://www.ijtsrd.com/computer-science/data-miining/25213/employees-data-analysis-by-applied-spss/aung-cho }, added-at = {2019-09-10T11:59:53.000+0200}, author = {Thu, Aung Cho | Aung Si}, biburl = {https://www.bibsonomy.org/bibtex/2f71e7919fb93031c5bbd5c11b46d7075/ijtsrd}, doi = {https://doi.org/10.31142/ijtsrd25213}, interhash = {2ec077c358d067f1a89e510d70b35947}, intrahash = {f71e7919fb93031c5bbd5c11b46d7075}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {Database Miining SPSS analyze employee is powerful to}, language = {English}, month = aug, number = 5, pages = {69-72}, timestamp = {2019-09-10T11:59:53.000+0200}, title = {Employees Data Analysis by Applied SPSS }, url = {https://www.ijtsrd.com/computer-science/data-miining/25213/employees-data-analysis-by-applied-spss/aung-cho}, volume = 3, year = 2019 }