study: MBA Course Title: Marketing Research Course code: MBA 763 Assignment: Secondary Data Mat Number: 74168 Name: Abiona Timothy Olufemi What is Data Data is a collection of facts‚ such as numbers‚ words‚ measurements‚ observations or even just descriptions of things. 1.Information in raw or unorganized form (such as alphabets‚ numbers‚ or symbols) that refer to‚ or represent‚ conditions‚ ideas‚ or objects. Data is limitless and present everywhere in the universe. See also information and knowledge
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Mind map for reflective writing Excel skills It is week 10 in BIM class. I am so enjoy being here with likes and dislikes of what we have done. The most impressive experience for me‚ I think it should be my first time to using Excel in the class and I do not know how to format the spreadsheet data. Initially‚ our lecture shows us how to prepare financial statements in Excel and use different types of graphs for different account elements‚ and then we need to prepare it for our business report
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Identify various perceptual errors that we suffer from and that blocks our objectivity in the assessment of men and women. Given below are the common perceptual errors that blocks our everyday decision making and objectivity in assessing people and circumstances in our lives 1) Self Serving Biases: The Self Serving Bias refers to individuals taking responsibility for successful task outcomes but blaming circumstances or other persons for failed task out - comes Fo r example
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Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific
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Graphical Representation of Data Chapter 3 ☞ (Paste Examples of any graphs‚ diagrams and maps showing different types of data. For example‚ relief map‚ climatic map‚ distribution of soils maps‚ population map) REPRESENTATION OF DATA Besides the tabular form‚ the data may also be presented in some graphic or diagrammatic form. “The transformation of data through visual methods like graphs‚ diagrams‚ maps and charts is called representation of data.” The need of representing data graphically: Graphics
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Data Mining On Medical Domain Smita Malik‚ Karishma Naik‚ Archa Ghodge‚ Shivani Gaunker Shree Rayeshwar Institute of Engineering & Information Technology Shiroda‚ Goa‚ India. Smilemalik777@gmail.com; naikkarishma39@gmail.com; archaghodge@gmail.com; shivanigaunker@gmail.com Abstract-The successful application of data mining in highly visible fields like retail‚ marketing & e-business have led to the popularity of its use in knowledge discovery in databases (KDD) in other industries
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Tuberculosis. Retrieved from http://www.medicinenet.com/tuberculosis/page4.htm Tuberculosis. (01‚ 2013). Retrieved from http://www.mayoclinic.com/health/tuberculosis/DS00372/DSECTION=treatments-and-drugs Vyas‚ Jatin M. (11‚ 2012). Pulmonary Tuberculosis. Retrieved from http://www.ncbi.nlm.nih.gov/pubmedhealth/PMH0001141/ Schiffman‚ George. (07‚ 2011). Tuberculosis. Retrieved from http://www.medicinenet.com/tuberculosis/page4.htm Tuberculosis. (01‚ 2013). Retrieved from http://www.mayoclinic.
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best alternative in the following: Q.1 In the relational modes‚ cardinality is termed as: (A) Number of tuples. (B) Number of attributes. (C) Number of tables. (D) Number of constraints. Ans: A Q.2 Relational calculus is a (A) Procedural language. (C) Data definition language. Ans: B Q.3 The view of total database content is (A) Conceptual view. (C) External view. Ans: A Q.4 Cartesian product in relational algebra is (A) a Unary operator. (B) a Binary operator. (C) a Ternary operator. (D) not defined
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Key: EX.4: K: Look at the map‚ Mary. We are at the Bank now. It is the Central Line. M: We need to go to the Piccadilly Circus. K: We can go to the Oxford Circus and change there to the Bakerloo Line and the next station will be the Piccadilly Circus. M: Or we can go to Holborn‚ change to the Northern Line and the second stop will be the Piccadilly Circus. K: Let’s count the stops. In my variant there are six stops. M: And in my route there are only
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4V of Big Data? Imagine all the information you alone generate each time you swipe your credit card‚ post to social media‚ drive your car‚ leave a voicemail‚ or visit a doctor. Now try to imagine your data combined with the data of all humans‚ corporations‚ and organizations in the world! From healthcare to social media‚ from business to the auto industry‚ humans are now creating more data than ever before. volume‚ velocity‚ variety‚ and veracity. Volume: Scale of Data Big data is big. It’s
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