Products related to Variable:
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Data Analytics in Marketing, Entrepreneurship, and Innovation
Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences.Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics.It features case studies that provide realistic examples of applications.This multifaceted examination of data analytics looks at: Business analyticsApplying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analyticsDeveloping new productsTechnopreneurshipDisruptive versus incremental innovationThe book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing.Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery.Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques.Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.
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Jokari Data Comm Cable and Wire Stripper Variable Capacity
• Razor sharp, preset stripping blades for fast, precise and damage free stripping of datacomms cables. • Pre-set precision stripping blades for damage free conductor stripping. • Cable Stripping 5 • 15 mm Ø • Wire Stripping 0,2 – 4 mm²
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Jokari Data Comm Cable and Wire Stripper Variable Capacity
• Razor sharp, preset stripping blades for fast, precise and damage free stripping of datacomms cables. • Pre-set precision stripping blades for damage free conductor stripping. • Cable Stripping 5 • 15 mm Ø • Wire Stripping 0,2 – 4 mm²
Price: 51.95 € | Shipping*: 4.95 € -
Jokari Data Comm Cable and Wire Stripper Variable Capacity
• Razor sharp, preset stripping blades for fast, precise and damage free stripping of datacomms cables. • Pre-set precision stripping blades for damage free conductor stripping. • Cable Stripping 5 • 15 mm Ø • Wire Stripping 0,2 – 4 mm²
Price: 51.95 € | Shipping*: 4.95 €
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How do you sort variable data?
Variable data can be sorted in various ways depending on the type of data and the specific requirements. For numerical data, you can use algorithms such as quicksort, mergesort, or bubblesort to arrange the data in ascending or descending order. For text data, you can use alphabetical sorting methods to arrange the data in a specific order. Additionally, for more complex data structures such as arrays or objects, you may need to use custom sorting functions to sort the data based on specific criteria. Overall, the sorting method used will depend on the type of data and the desired outcome.
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What is a variable and non-variable quantity?
A variable quantity is a quantity that can change or vary, such as the temperature, time, or the price of a product. These quantities can take on different values and are often represented by symbols or letters in mathematical equations. On the other hand, a non-variable quantity is a quantity that remains constant and does not change, such as the speed of light or the number of sides in a triangle. Non-variable quantities are fixed and do not depend on any other factors.
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What is the difference between variable definition and variable initialization?
Variable definition is the process of declaring a variable and specifying its data type, such as int, float, or string. This tells the compiler or interpreter that a variable with a certain name and data type will be used in the program. Variable initialization, on the other hand, is the process of assigning a value to the variable for the first time. This can happen at the same time as the variable is defined, or at a later point in the program. Initialization gives the variable a specific value to work with, while definition simply sets up the variable's characteristics.
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'How do I write a variable in a variable in Arduino?'
In Arduino, you can write a variable in a variable by using the concept of pointers. You can declare a pointer variable and then assign the address of the original variable to the pointer variable. This allows you to indirectly access the original variable through the pointer variable. Here's an example of how to write a variable in a variable in Arduino: ```C int originalVariable = 10; int *pointerVariable = &originalVariable; // Assign the address of originalVariable to pointerVariable *pointerVariable = 20; // Write a new value to originalVariable through pointerVariable ``` In this example, the value of originalVariable is changed to 20 by writing to it through the pointerVariable.
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Data and Analytics Strategy for Business : Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy
For many organizations data is a by-product, but for the smarter ones it is the heartbeat of their business.Most businesses have a wealth of data buried in their systems which, if used effectively, could increase revenue, reduce costs and risk and improve customer satisfaction and employee experience.Beginning with how to choose projects which reflect your organization's goals and how to make the business case for investing in data, this book then takes the reader through the five 'waves' of organizational data maturity.It takes the reader from getting started on the data journey with some quick wins, to how data can help your business become a leading innovator which systematically outperforms competitors. Data and Analytics Strategy for Business outlines how to build consistent, high-quality sources of data which will create business value and explores how automation, AI and machine learning can improve performance and decision making.Filled with real-world examples and case studies, this book is a stage-by-stage guide to designing and implementing a results-driven data strategy.
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Social Data Analytics
This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence.It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics.It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery.The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics.It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry.It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions.Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics.
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Big Data Analytics
Big Data Analytics is intended for use as a textbook for third- and fourth-year students of B.E., B.Tech., B.Sc., BCA, MCA, and M.Tech. courses in IT, Software, and Computer Science Engineering.The book has been written to help students who enter the software industry to gain a broad understanding of Big Data and the nuances of handling it to extract useful information.Spread across 21 chapters, it elucidates the concept of Big Data and walks the reader through popular frameworks such as Hadoop, MongoDB, Pig and Hive that are used for processing Big Data.
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Business Models : Innovation, Digital Transformation, and Analytics
Since the beginning of time, running a business has involved using logic by which the business operates.This logic is called the business model in management science, which increasingly is focusing on issues surrounding business models.Research trends related to business models include value creation, value chain operationalization, and social and ecological aspects, as well as innovation and digital transformation.Business Models: Innovation, Digital Transformation, and Analytics examines how innovation, digital transformation, and the composition of value affect the existence and development of business models.The book starts by addressing the conceptual development of business models and by discussing the essence of innovation in those models.Chapters in the book investigate how: Business models can analyze digital transformation scenarios Individual business model elements effect selected performance measures as well as how the elements are significant for the enterprise value composition The environment effects the profitability of the high-growth enterprise business models Employer branding business models are perceived by the generation Z workforce To implement responsible business models in the enterprise Cyber risk is captured in business models Decision algorithms are important to business analyticsThis book is a compendium of knowledge about the use of business models in the context of innovative activities, digital transformation, and value composition.It attempts to combine the theory and practice and offers a look at business models currently used in companies, especially high-growth enterprises, in various countries of the world and indicates the prospects for their development.
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How can one express a variable in terms of another variable?
One can express a variable in terms of another variable by manipulating equations or formulas to isolate the desired variable on one side of the equation. This can involve performing algebraic operations such as addition, subtraction, multiplication, or division to rearrange the equation. By doing so, the variable of interest can be written in terms of the other variable, allowing for a clearer understanding of the relationship between the two variables.
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How can I store a JavaScript variable in a PHP variable?
To store a JavaScript variable in a PHP variable, you can use AJAX to send the JavaScript variable to a PHP script on the server. The PHP script can then receive the variable using $_POST or $_GET superglobals and store it in a PHP variable. This way, you can pass data between JavaScript and PHP seamlessly.
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How can a JavaScript variable be transferred to a PHP variable?
A JavaScript variable can be transferred to a PHP variable by using AJAX (Asynchronous JavaScript and XML) to send the variable value to a PHP script on the server. The PHP script can then receive the variable value using the $_POST or $_GET superglobals, and assign it to a PHP variable. Another way to transfer a JavaScript variable to a PHP variable is by embedding the JavaScript variable value in a form and submitting the form to a PHP script, which can then retrieve the value using the $_POST or $_GET superglobals.
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How can I output a batch variable in a variable name?
You can output a batch variable in a variable name by using the delayed expansion feature in batch scripting. To do this, you need to enable delayed expansion by using the "setlocal enabledelayedexpansion" command at the beginning of your script. Then, you can use the "!" symbol instead of "%" to access the value of a variable inside another variable. For example, if you have a variable named "var1" and you want to output its value in a variable named "var2", you can use the syntax "!var1!" to achieve this.
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