"Sample of univariate data analysis" Essays and Research Papers

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    TYPES OF DATA AND COMPONENTS OF DATA STRUCTURES Data types 1. Primitive: is a data type provided by a programming language as a basic building block 2. Composite: is any data type which can be constructed in a program using its programming language’s primitive data types and other composite types 3. Abstract: is a mathematical model for a certain class of data structures that have similar behavior; or for certain data types of one or more programming languages that have similar semantics

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    Secondary Data

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    Q) What are Secondary Data? Secondary Data Secondary data is information gathered for purposes other than the completion of a research project. Data previously collected by someone else‚ possibly for some other purpose that can be used later for making decisions if found suitable for the purpose‚ other than the original one. Secondary data can be acquired from the internal records of the organization‚ their departments‚ subsidiaries or sister organizations and also from external sources‚ such

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    sample wat

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    For the said purpose a survey has been conducted by a self- administered questionaire among 200 students in various departments in Colegio de Dagupan. Their usage pattern of Facebook‚ hours spending per week‚ gender ‚ purpose of membership The data from paper and pencil survey method was used on the study. The researcher believes that method achieved the objectives of the study based from the perception of the respondents. Chapter I Introduction In the last two

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    Customer Data

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    Enhancing Customer Data Enhanced Customer Data Repository is a secure and fully supported data repository with problem determination tools and functions. It updates problem management records (PMR) and maintains full data life cycle management. · combination of all the internal structured business data (CRM‚ ERP‚ POS and all the internal system data) and external unstructured data ( Social media data‚ feedback surveys‚ Audios‚ Videos‚ streaming data‚ Call center data‚ images) · unmanageable volumes

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    Chapter 3 Summarizing Data 0.1 0.2 Introduction...........................................................................Error! Bookmark not defined. A Section Title .......................................................................Error! Bookmark not defined. Demonstration: ............................... Error! Bookmark not defined. Exercises ................................................................................... Error! Bookmark not defined. 0.3 0.4 Chapter Summary .

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    Sample Proposal

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    tests will be used for screening purposes with in-situ component tests planned for later. Micro structural analyses deemed necessary include 1) sputter Auger electron spectroscopy for compositional analysis‚ 2) sputter ESCA for composition and chemical bonding information‚ 3) Glancing x-ray analysis for lattice structure‚ 4) ion backscattering for nondestructive composition vs. depth information‚ and 5) SEM and TEM for grain structure and lattice microstructure information. Hard‚ extremely adherent

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    Data Mining

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    Nagham Hamid‚ Abid Yahya‚ R. Badlishah Ahmad & Osamah M. Al-Qershi Image Steganography Techniques: An Overview Nagham Hamid University Malaysia Perils (UniMAP) School of Communication and Computer Engineering Penang‚ Malaysia nagham_fawa@yahoo.com Abid Yahya University Malaysia Perlis (UniMAP) School of Communication and Computer Engineering Perlis‚ Malaysia R. Badlishah Ahmad University Malaysia Perlis (UniMAP) School of Communication and Computer Engineering Perlis‚ Malaysia

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    Sample Calculation

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    Sample Calculations I-Beam (S8x18.4) Dimensions: D= 8 in; h= 7.148 in; bf= 4.001 in; tw= 0.271in; tf= 0.426in; L (length of the beam) =18.4 in I= (bf*D3 – h3 (bf – tw))/12= 57.6 in4; E (Referenced value of Young’s modulus) = 29X106 psi Theoretical Strain: ε= σ/E= (M*y)/(E*I) P = load a = distance from support to the applied load (48 in) y = distance from neutral axis to the extreme element in y-direction The sing in the theoretical strain (±) determines if the strain is in compression

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    data mart

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    1. Data mart definition A data mart is the access layer of the data warehouse environment that is used to get data out to the users. The data mart is a subset of the data warehouse that is usually oriented to a specific business line or team. Data marts are small slices of the data warehouse. Whereas data warehouses have an enterprise-wide depth‚ the information in data marts pertains to a single department. In some deployments‚ each department or business unit is considered the owner of its data

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    In 1860‚ the first instrumental analysis was performed by Robert Bunsen and Gustav Kirchoff who used flames tests that led to the discovery of the elements rubidium (Rb) and caesium (Cs). After this‚ this method was used everywhere to find the chemical make ups of many substances. For example‚ in 2007 there was a huge problem where tainted pet food would cause many pets to become ill. Qualitative analysis was used and it was discovered that Melamine was found in the pet food which altered the results

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