Data analysis is the process of examination of raw data using statistical and logical techniques to evaluate the data. Accurate data analysis is critical in ensuring data integrity in qualitative research. Raw data requires to be analyzed, inspected, cleaned and transformed into information that is useful in tabulation of the conclusion of the research. Data analysis has many areas of applicability, for example, in corporate business, applied science and the social sciences. Data analysis encompasses around the following fields:
Data analysis is a significant statistical tool where it is divided into descriptive statistics, exploratory data analysis and confirmatory analysis of data. Analysis is conducted on data so as to filter it and effectively convert it to information that is relevant to users. Algorithms and other mathematical formulas are applied to the relevant data to identify relationships between the independent variables for the general purpose of grouping of data. Once data is analyzed it may be presented in many formats according to the specifications of the users that suits their preference. Deviations and frequency distributions are important aspects of data which are consequential in the conversion to information in the process to make the data relevant for users with a point of interest in the data. Data analysis involves processes like coding data, transcribing data and finally drawing graphs and charts to illustrate the distribution of data. It takes into consideration both dependent an independent variables in research.
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