Analysis Tools Comparison: R Language‚ Matlab‚ esProc‚ SAS‚ SPSS‚ Excel‚ and SQL The interactive analysis is a circular analytics procedure comprising assumption‚ verification‚ and calibration by the analyst to achieve the fuzzy computation goal. For specifics and details‚ please refer to another article I composed: Interactive Analysis and Related Tools. Because there are so many tools for interactive analysis that not everyone can know all of them‚ I will only focus on and compare the most
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Splunk is a tool to analyze‚ search and visualize machine data. Today‚ with the increasing popularity of internet‚ IoT devices‚ wearable devices and multi-fold increase in computation and processing power‚ generation of machine data has increased exponentially. Such huge amount of machine data contains powerful insights which might have tremendous value. Many big data technologies and tools are being developed to extract benefit from such data‚ Splunk is one such tool. Founded in 2003‚ Splunk offers
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"thematic analysis method by Boyatzis (1998). This method consists of four category theory-driven codes‚ derived from the researcher’s or other existing theories; inductive codes‚ derived bottom-up from the researcher’s reading of the data; and prior-research driven codes. This helps the researcher moves his analysis from a broad reading of the data towards discovering patterns and developing themes. Also‚ the researcher develops "codes‚" words or phrases that serve as labels for sections of data. Depending
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MapReduce is a widely used parallel computing framework for large scale data processing. The two major performance metrics in MapReduce are job execution time and cluster throughput. They can be seriously impacted by straggler machines— machines on which tasks take an unusually long time to finish. Speculative execution is a common approach for dealing with the straggler problem by simply backing up those slow running tasks on alternative machines. Multiple speculative execution strategies have been
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Statistical Analysis and Application of Charts Presented To: Mam Ayesha IftikharPresented By: Hassan Bashir Roll Number: bba02141016 Program : BBA Semester : 2nd Date: 19-Oct-2014 Research Questionnaire/ Objective: Analysis of quantitative and qualitative data Uses of appropriate charts under the specific/general scenario. To ensure that statistical tools are the important for decision making. Type of Data: Quantitative Data Qualitative data Quantitative Data: Quantitative data is data expressing
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is a set of data in which the observations are written yij i= 1‚2 ‚…‚I j= 1‚2‚…‚J and displayed in a rectangular array as shown below TABLE1. Format and notation for a Two-Way Table i J 1 … J 1 . . . I y11 . . . y1J . . . . . . . . . yI1 . . . yIJ This data structure
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Methodology Introduction The aim of this chapter is to present and discuss the methodology applied to the research of this dissertation. It has been identified in the literature review that there is still a lack of data regarding festival experience and the underlying motives behind attending a festival. In order to gain a deeper insight into festival attendee motives the researcher will focus on the popular Tomorrowland Festival to identify the motivations of attendees and how the overall production
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provide an opportunity to construct and store the huge amount of data together from many fields such as business‚ administration‚ banking‚ the delivery of social and health services‚ environmental safety‚ security and in politics. Typically‚ these data sets are very huge and regularly growing and contain a huge number of compound features which are hard to manage. Therefore‚ mining or extracting association rules from large amount of data in the database is interested for many industries which can help
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Executive Summary Dumitri Mironescu is the owner of a limousine company in Las Vegas which currently consists of 17 vehicles. During the year of 2012‚ Dumitru decided that it was time to replace three of the company’s 17 vehicles. In addition‚ Dumitru wanted to add two new vehicles to his fleet of limousines. Dumitru submitted a business plan to the bank to finance his purchases. After reviewing his business plan‚ the bank was not comfortable with the company’s revenue forecast and needed further
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using Tracking Research data Approach: The analysis of brand Sofy has been done with a two stages of statistics and model building approach. MATRIX IDENTIFICATION At the very first stage the data for Sofy was plotted in scatter graphs for pattern identification. The various combinations of variables for independent and dependent variables were taken to shortlist the variables for further scientific tests. TEST AND ANALYTICS In the next stage of scientific data analysis‚ test of significance
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