DATA ORGANIZATION‚ PRESENTATION AND ANALYSIS Research Methods 1 Data Organization and Presentation To make interpretation and analysis of gathered data easier‚ data should be organized and presented properly. The usual methods used by researchers are textual‚ tables‚ graphs and charts. 1.1 Textual Data can be presented in the form of texts‚ phrases or paragraphs. It involves enumerating important characteristics‚ emphasizing significant figures and identifying important features of
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DATA DICTIONARY Data Dictionaries‚ a brief explanation Data dictionaries are how we organize all the data that we have into information. We will define what our data means‚ what type of data it is‚ how we can use it‚ and perhaps how it is related to other data. Basically this is a process in transforming the data ‘18’ or ‘TcM’ into age or username‚ because if we are presented with the data ‘18’‚ that can mean a lot of things… it can be an age‚ a prefix or a suffix of a telephone number‚ or basically
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Lecture Notes 1 Data Modeling ADBMS Lecture Notes 1: Prepared by Engr. Cherryl D. Cordova‚ MSIT 1 • Database: A collection of related data. • Data: Known facts that can be recorded and have an implicit meaning. – An integrated collection of more-or-less permanent data. • Mini-world: Some part of the real world about which data is stored in a database. For example‚ student grades and transcripts at a university. • Database Management System (DBMS): A software package/ system to facilitate
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Data Analysis The first question of the set of 15 questions was about the age limit of the respondents. We collected all data from the age group starting from 15years. Most of the respondents fall into the age limit of 16-25 years which is 54% of the total respondents. 18of the 50 respondents were 26-35 years of age which is 36%. [pic] [pic] Q1: your most preferable Schemes when you are Thinking about a savings account? This was the question that gives the critical information
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Simply use statistics as a tool. You will be given a data. (Next year you will not be given data‚ you will gather data yoruself). 1. Data: one of the variables is dependent and other dependent. Can be multiple. Then do regression analysis. ANOVA for overall significance and Regression equation. And write based on ANOVA there is a significance or not. 2. Some comments on correlation: volume vs. horse power etc. 3. Hypothesis test of one population. I assume that the mean is etc etc. Small paragraph
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Networks Volvo utilized data mining in an effort to discover the unknown valuable relationships in the data collected and to assist in making early predictive information. It created a network of sensors and CPUs that were embedded throughout the cars and from which data was captured. Data was also captured from customer relationship systems (CRM)‚ dealership systems‚ product development and design systems and from the production floors in their factories. The terabytes of data collected was streamed
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Patrick Cunningham ITM220-J November 8‚ 2013 Big Data Big Data‚ an inspirational novel about the collection and processing of massive amounts of data was eye-opening and encouraging. This collection of data over a long period of time has been processed and used towards many different aspects throughout the world. Dilemmas such as tracking the H1N1 virus‚ to buying the most inexpensive plane tickets‚ all the way to predicting dangerous manholes explosions have all been processed and tabulated
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ict policy Data Protection ICT/DPP/2010/10/01 1. Policy Statement 1.1. Epping Forest District Council is fully committed to compliance with the requirements of the Data Protection Act 1998 which came into force on the 1st March 2000. 1.2. The council will therefore follow procedures that aim to ensure that all employees‚ elected members‚ contractors‚ agents‚ consultants‚ partners or other servants of the council who have access to any personal data held by or on behalf of the
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is a necessity for a businesses trying to maximize its profits. A new‚ and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining customers;
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discussed and all concluded that data analysis methods help us understand facts‚ observe patterns‚ formulate explanations‚ and try out the hypotheses. Not only does it help us understand facts‚ but they we also discovered that data analysis is used in science and business‚ and even administration and policy-making processes. We’ve found out the data analysis can be carried out in all fields‚ including medicine and social sciences. Once an analysis is conducted the data that is carried out is documented
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