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R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics and linear regression.
Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If youíre a beginner, R Cookbook will help get you started. If youíre an experienced data programmer, it will jog your memory and expand your horizons. Youíll get the job done faster and learn more about R in the process.

Create vectors, handle variables and perform other basic functions
Input and output data
Tackle data structures such as matrices, lists, factors and data frames
Work with probability, probability distributions and random variables
Calculate statistics and confidence intervals and perform statistical tests
Create a variety of graphic displays
Build statistical models with linear regressions and analysis of variance (ANOVA)
Explore advanced statistical techniques, such as finding clusters in your data

Microsoft Excel 2016 Step by Step

Microsoft Excel 2016 Step by Step

Now in full color!


The quick way to learn Microsoft Excel 2016!

This is learning made easy. Get more done quickly with Excel 2016. Jump in wherever you need answers--brisk lessons and full-color screen shots show you exactly what to do, step by step.

  • Quickly set up workbooks, enter data, and format it for easier viewing
  • Perform calculations and find and correct errors
  • Filter, sort, summarize, and combine data
  • Analyze data by using PivotTables, PivotCharts, scenarios, data tables, and Solver
  • Visualize data with charts and graphs, including new sunbursts, waterfalls, and treemaps
  • Build data models and use them in business intelligence analyses
  • Create timelines, forecasts, and visualizations, including KPIs and PowerMap data maps
  • Look up just the tasks and lessons you need

Hands on Programming With R: Write Your Own Functions and Simulations

Hands on Programming With R: Write Your Own Functions and Simulations

All Indian Reprints of O'Reilly are printed in Grayscale.

Learn how to program by diving into the R languageand then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functionsand use all of R’s programming tools.

RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You’ll gain valuable programming skills and support your work as a data scientist at the same time.

  • Work hands-on with three practical data analysis projects based on casino games
  • Store, retrieveand change data values in your computer’s memory
  • Write programs and simulations that outperform those written by typical R users
  • Use R programming tools such as if else statements, for loopsand S3 classes
  • Learn how to write lightning-fast vectorized R code
  • Take advantage of R’s package system and debugging tools
  • Practice and apply R programming concepts as you learn them

MongoDb Applied Design Patterns: Practical Use Cases with the Leading NoSQL Database

MongoDb Applied Design Patterns: Practical Use Cases with the Leading NoSQL Database

All Indian Reprints of O'Reilly are printed in Grayscale.

Whether you’re building a social media site or an internal-use enterprise application, this hands-on guide shows you the connection between MongoDB and the business problems it’s designed to solve. You’ll learn how to apply MongoDB design patterns to several challenging domains, such as ecommerce, content managementand online gaming. Using Python and JavaScript code examples, you’ll discover how MongoDB lets you scale your data model while simplifying the development process.

Many businesses launch NoSQL databases without understanding the techniques for using their features most effectively. This book demonstrates the benefits of document embedding, polymorphic schemasand other MongoDB patterns for tackling specific big data use cases, including:

  • Operational intelligence: Perform real-time analytics of business data
  • Ecommerce: Use MongoDB as a product catalog master or inventory management system
  • Content management: Learn methods for storing content nodes, binary assetsand discussions
  • Online advertising networks: Apply techniques for frequency capping ad impressionsand keyword targeting and bidding
  • Social networking: Learn how to store a complex social graph, modeled after Google+
  • Online gaming: Provide concurrent access to character and world data for a multiplayer role-playing game

Scala Cookbook: Recipes for Object-Oriented and Functional Programming

Scala Cookbook: Recipes for Object-Oriented and Functional Programming

save time and trouble when using Scala to build object-oriented, functional, and concurrent applications. With more than 250 ready-to-use recipes and 700 code examples, this comprehensive cookbook covers the most common problems you’ll encounter when using the Scala language, libraries, and tools. It’s ideal not only for experienced Scala developers, but also for programmers learning to use this JVM language.
author alvin Alexander (creator of daily.Com) provides solutions based on his experience using Scala for highly scalable, Component-based applications that support concurrency and distribution. Packed with real-world scenarios, this book provides recipes for:

  • strings, numeric types, and control structures
  • concurrency, using the Akka actors library

  • Using the Scala REPL and the simple build tool (sbt)
    Web services on both the client and server sides
    Best practices in Scala development
    .

    Scala for the Impatient, 2ed

    Scala for the Impatient, 2ed

    This revised edition has been thoroughly updated for Scala 2.12 and reflects current Scala usage. It includes added coverage of recent Scala features, including string interpolation, dynamic invocation, implicit classes, and futures. Scala is a big language, but you can use it effectively without knowing all of its details intimately. This title provides precisely the information that you need to get started in compact, easy-to-understand chunks. Get started quickly with Scala's interpreter, syntax, tools, and unique idioms Master core language features: functions, arrays, maps, tuples, packages, imports, exception handling, and more Become familiar with object-oriented programming in Scala: classes, inheritance, and traits Use Scala for real-world programming tasks: working with files, regular expressions, and XML Work with higher-order functions and the powerful Scala collections library Leverage Scala's powerful pattern matching and case classes Create concurrent programs with Scala futures Implement domain-specific languages Understand the Scala type system Apply advanced "power tools," such as annotations, implicits, and type classes

    Building Micro services With ASP.Net Core: Develop, Test, and Deploy Cross-Platform Services in the Cloud

    Building Micro services With ASP.Net Core: Develop, Test, and Deploy Cross-Platform Services in the Cloud

    All Indian Reprints of O'Reilly are printed in Grayscale.

    At a time when nearly every vertical, regardless of domain, seems to need software running in the cloud to make money, microservices provide the agility and drastically reduced time to market you require. This hands-on guide shows you how to create, test, compileand deploy microservices, using the ASP.NET Core free and open-source framework. Along the way, you’ll pick up good, practical habits for building powerful and robust services.

    Building microservices isn’t about learning a specific framework or programming language; it’s about building applications that thrive in elastically scaling environments that don't have host affinityand that can start and stop at a moment’s notice. This practical book guides you through the process.

    • Learn test-driven and API-first development concepts
    • Communicate with other services by creating and consuming backing services such as databases and queues
    • Build a microservice that depends on an external data source
    • Learn about event sourcing, the event-centric approach to persistence
    • Use ASP.NET Core to build web applications designed to thrive in the cloud
    • Build a service that consumesor is consumed by, other services
    • Create services and applications that accept external configuration
    • Explore ways to secure ASP.NET Core microservices and applications

    PMI Agile Certified Practitioner: Excel with Ease

    PMI Agile Certified Practitioner: Excel with Ease

    This self-study guide is essential reading for all PMI-ACP aspirants to clear the certification exam.
    Following an easy and a step-by-step learning approach, this book presents not only the basic agile concepts but also the latest developments in the field, based entirely on the latest guidelines from the Project Management Institute.

    Features
    1. Covers all topics based on new PMI-ACP syllabus
    2. 1000+ practical questions
    3. Four fully solved question papers following the PMI-ACP exam pattern
    4. 400 key points that encapsulate important concepts
    5. Tips and tricks on “cracking” the PMI-ACP certification exam

    Table of Contents
    Chapter 1 Introduction
    Chapter 2 Introduction to Agile Principles and Mind-set
    Chapter 3 Agile Methodologies
    Chapter 4 Agile Project Communications
    Chapter 5 Planning, Monitoring and Adapting
    Chapter 6 Agile Metrics and Estimations
    Chapter 7 Agile Analysis and Design
    Chapter 8 Product Quality and Process Improvement
    Chapter 9 Interpersonal Skills
    Chapter 10 Value-based Prioritization
    Chapter 11 Agile Project Risk Management
    Chapter 12 PMI Code of Ethics and Professional Conduct

    Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

    Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

    from news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientists approach to building language-aware products with applied machine learning.
    you’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems.

  • preprocess and vectorize text into high-dimensional feature representations

  • Perform document classification and Topic modeling
  • steer the model selection process with visual diagnostics

  • Extract key phrases, named entities, and graph structures to reason about data in text
    Use Spark to scale processing power and neural networks to scale model complexity
    .

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