10 page paper on big data visualization with 5 slides to reinforce visualization concept ppt

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focus on how Big Data blends traditional statistical data analysis approaches with computational ones, and how Big Data works in real time not merely in batch mode. Include detail on the basic types of data analysis (quantitative, qualitative, data mining, statistical analysis, machine learning, semantic analysis, and visual analysis).

Grading Criteria
Business Issue: Business issue and organizational and/or environment context is/are clearly defined and discussed.
Pre-Visualization Analysis: Analysis is concise, detailed yet thorough; takes into account data characteristics of the data source(s).
Selection/Evaluation of Data Sources: Data source(s) selected is/are authoritative and appropriate for the business issue selected analysis (authority and expertise of external sources)
Relevant Course Topics: Discuss course topics relevant to your project.
Appendix – Visualizations: Visualizations form a narrative or story.
Writing style: concise, clear, master’s-level, APA format(consult APA manual and/or Purdue OWL APA web site). Flawless spelling, punctuation, grammar; Business-style writing (run grammar/spell checks, have someone proof-read your paper)

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