Analysis : Data Immersion, Data And Data
To analysis the collected qualitative data, the five steps for qualitative data analysis was applied: data immersion, data coding, data reduction, data display, and interpretation (Lui 2014).
In the data immersion step, besides reading and rereading the transcription of recording, the observation note and report also been reviewed to familiar with the research topic and context; meanwhile, other general information before the research also been reviewed, such as memos and relative reports. To identify the different issues which are associated within the two interviews, the next step is coding. At the first cycle of data coding, there were 18 codes which are identified by loose coding method. Next, I aggregated these codes into 6 categories. At the end of the data reduction step, I got three themes. After that, to assemble the information and patterns the data would be displayed by matrix method which also easily illustrated the conclusion of this research. Finally, in the interpretation part, the general deep and meaningful understanding would be shown through the data display and analysis.
1.2 Categories
Before coding the qualitative data, I have picked up the important and topic relevant context and integrated them into matrix for the further data coding and reduction. For Li’s interview, I took 67 items from the whole content; and for Qi’s interview, I took 37 items because Qi haven’t worked in an Australian hospital, and she only can provide the general…

Data Analysis And Presentation Of Data
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Data Analysis And Data Mining
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Data Analysis And Data Mining
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Data Analysis And Data Of Data
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Data Analysis And Interpretation Of The Data
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Data Analysis And Interpretation Of Data
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Data Analysis And Data Of Data
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Data Analysis : Data Mining
1087 Words  5 PagesData, Data everywhere. It is a precious thing that will last longer than the systems. In this challenging world, there is a high demand to work efficiently without risk of losing any tiny information which might be very important in future. Hence there is need to create large volumes of data which needs to be stored and explored for future analysis. I am always fascinated to know how this large amount of data is handled, stored in databases and manipulated to extract useful information. A raw data…

Data Analysis And Data Processes
1165 Words  5 PagesData Transformation are often very complex and is the most costly section of the ETL process. Transformations are often achieved outside the database using flat files, but mostly occurs within an Oracle database. The transform step applies rules or functions to the extracted data. These rules or functions will decide on the analysis of data and can involve transformations like the following: • Data Summations • Data Merging • Data Encoding • Data Splitting • Data Calculations • Creating Surrogate…
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