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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Page 2 Data communications (Datacom) is the engineering Datacom) discipline concerned with the communication between devices. A network is a set of devices (often referred to as nodes) nodes) connected by communication links. links. A computer network is any set of computers or devices connected to each other via some form of transmission medium with the ability to exchange data. Here information is presented in a form which is agreed upon by the parties creating and using the data. A computer
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Financial Services Data Management: Big Data Technology in Financial Services Big Data Technology in Financial Services Introduction: Big Data in Financial Services ....................................... 1 What is Driving Big Data Technology Adoption in Financial Services?3 Customer Insight ........................................................................... 3 Regulatory Environment ................................................................ 3 Explosive Data Growth ........
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2.2.3 Data Collection Another crucial stage that cannot be ignored is deciding on the type and nature of data that is to be used in the research. Ideally‚ there are three types of data that a researcher can collect using primary research. First‚ the data can be quantitative in nature. This refers to data that is capable of been converted into a numerical value (Kothari 2004). One of the benefits of quantitative data is that its measurement does not require critical reviews‚ making it easy to collect
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YOUR OFFSHORE BACK OFFICE SERVICES Ask Datatech is one of the most popular and leading data entry and back office service providers in India which has great amount of specialization in the field of Data Management online. It is one of the noted data entry service providers in India which is based in Ahmadabad. We strive hard to meet the needs and requirements of all our clients by setting up long standing corporate relationships. We have a huge amount of industry experience which can help
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Conceptual Data Models for Database Design Database Design Process The database design process consists of a number of steps listed below. We will focus mainly on step 2‚ the conceptual database design‚ and the models used during this step. Step 1: Requirements Collection and Analysis ▪ Prospective users are interviewed to understand and document data requirements ▪ This step results in a concise set of user requirements‚ which should be detailed and complete. ▪ The functional
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Library Observation Reflection This activity was one that I thought would be interesting but‚ to be honest‚ it wasn’t one in which I entered with a lot of expectations. I wasn’t really sure what would happen so I tried to approach the exercise with an open mind. My perceptions of the library did change from this exercise. Prior to this observation I have always just kind of used the library. I have used it a lot‚ but generally I will do all of my searches online. Thus‚ when using the library
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No. of Printed Pages : 4 FIB0-06 POST GRADUATE DIPLOMA IN INTERNATIONAL BUSINESS 00 C OPERATIONS/MASTER OF COMMERCE Term-End Examination December‚ 2012 IBO-06 : INTERNATIONAL BUSINESS FINANCE Time : 3 hours Maximum Marks : 100 Weightage : 70% Note : Answer any five questions. All questions carry equal marks. 1. What are the salient features of the present day 15‚5 International Monetary System ? Critically examine their suitability from the view point of developing
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Chapter 3 – Data Visualization Chapter 4 – Summary Statistics Data Mining for Business Intelligence Shmueli‚ Patel & Bruce © Galit Shmueli and Peter Bruce 2010 Data Visualization • “A picture is worth a thousand words” • Data visualization and summary statistics help condense data • Effective presentation • Supports data cleaning (identify missing values‚ outliers‚ incorrect values‚ duplicates) and exploring (combine some groups) • Helps identify suitable variables • Mandatory initial step for
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Paper Creating a Data Warehouse Introduction Data warehouses are the latest buzz in the business world. Not only are they used to store data for reporting and forecasting‚ but they are part of a decision support system. There are many reasons for creating and using a data warehouse. The data warehouse will support the decisions a business needs to make‚ usually on a daily basis. The data warehouse collects data‚ consolidates the data for reporting purposes. Data warehouses are accompanied
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