Название: A Concise Handbook of Business Research: Special Emphasis on Data Analysis Using MS-Excel and RАвтор: Ashish Arya, Vishnu Nath, Pankaj Madan
Издательство: Routledge, Manakin Press
Год: 2024
Страниц: 163
Язык: английский
Формат: pdf (true)
Размер: 14.9 MB
This book deals with the basics of Research Methodology (RM) for Business Research and statistical analysis for dealing with data using two software: R (a free statistical analysis environment) and MS-Excel.
Apart from the basic concepts of Research Methodology, the book contains an additional chapter on improving academic writing. It contains important details on plagiarism, citation and referencing in MS-Word, and improving project/dissertation writing using free online software.
Data analysis is one of the main chapters of project or thesis writing as it deals with understanding of our objectives with the help of numbers. There are so many tools in the market for data analysis & presentation, but worldwide MS Excel is used as a beginner’s software. Important reasons being, it’s easily available, reachable and user-friendly. Among the major contributions of excel to the business world is in the field of calculation and analysis.
R is a statistical programming environment which is used worldwide and we personally prefer it over other statistical software like SPSS and Excel. As the previous (SPSS) though very good, is too costly, whereas the later one (the excel), have some limitations which ‘R’ overcomes comprehensively. So, use R and have fun.
R studio: R studio is an upgraded structure of R which is very much user-friendly and is an IDE, that is Integrated Development Environment. It is having GUI i.e. Graphic User interface which makes it more easy to use with added features. As we will be doing all statistical analysis on R studio so the first step is to download it. Make sure you download first R and then R studio.
Data Visualization: To understand the pattern in the data the first and the foremost method to be used by a business research student is to visualize the data using graphs and figures e.g. Like bar chart or pie chart. The basic idea behind using them is to sense the data. Let us visualize a graph below and try to find what information we can extract from our data using graphs and diagrams.
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