Sorting Data

Sorting Data

Author: Anthony Peter Macmillan Coxon

Publisher: SAGE

Published: 1999-07-08

Total Pages: 108

ISBN-13: 9780803972377

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How to collect, describe, compare and analyze data.


Algorithms and Data Structures for Massive Datasets

Algorithms and Data Structures for Massive Datasets

Author: Dzejla Medjedovic

Publisher: Simon and Schuster

Published: 2022-07-05

Total Pages: 302

ISBN-13: 1617298034

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In Algorithms and Data Structures for Massive Datasets, you'll discover methods for reducing and sketching data so it fits in small memory without losing accuracy, and unlock the algorithms and data structures that form the backbone of a big data system. Data structures and algorithms that are great for traditional software may quickly slow or fail altogether when applied to huge datasets. Algorithms and Data Structures for Massive Datasets introduces a toolbox of new techniques that are perfect for handling modern big data applications. In Algorithms and Data Structures for Massive Datasets, you'll discover methods for reducing and sketching data so it fits in small memory without losing accuracy, and unlock the algorithms and data structures that form the backbone of a big data system. Filled with fun illustrations and examples from real-world businesses, you'll learn how each of these complex techniques can be practically applied to maximize the accuracy and throughput of big data processing and analytics. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.


Mastering Data Visualization with Tableau

Mastering Data Visualization with Tableau

Author: Dr. Arpana Chaturvedi

Publisher: BPB Publications

Published: 2024-07-11

Total Pages: 776

ISBN-13: 9355517521

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DESCRIPTION "Mastering Data Visualization with Tableau” is an invaluable book that will help you become more knowledgeable and elevate your understanding and skills in data visualization using Tableau which is one of the leading tools in the industry. This comprehensive resource covers the basics of visual analytics, explaining both the theory and practical ways to turn raw data into useful insights. You will start with Tableau Desktop by learning to download it, navigate the interface, and connect to data sources. The book teaches you to create and format basic charts, adding interactivity with parameters, sets, sorting, and filtering. You will explore calculations and advanced visualizations like bar-in-bar charts and maps. It covers designing interactive dashboards, using text and images for storytelling, and sharing work via PDFs and Tableau Public. The book ends with AI features in Tableau and hands-on exercises to practice. Through this book, readers can gain the confidence to handle complex datasets, apply advanced visualization techniques, and harness Tableau's full potential to make informed decisions faster and with greater accuracy. This guide is your pathway to becoming proficient in the art and science of data visualization with Tableau. KEY FEATURES ● Detailed exploration of Tableau, Tableau interface, dimensions, measures, and other visualization tools. ● Techniques for interactive data visualization using actions, filters, sets, parameters, groups, and hierarchy. ● Advanced graphing techniques and dynamic visualization strategies, calculated fields, table calculations, and LOD. ● Comprehensive integration of AI to improve data analysis. WHAT YOU WILL LEARN ● Tableau for complex data visualizations and apply predictive analytics. Clean and prepare data efficiently and create interactive dashboards that drive strategic business decisions. ● Advanced charts like bar-in-bar, profit calendar, and map visualizations. ● Gain practical hands-on experience with a question bank based on various industry use cases, enhancing your ability to tackle real-world data challenges. WHO THIS BOOK IS FOR This book is an excellent resource for students from any discipline, data scientists, business analysts, and professionals eager to master Tableau for comprehensive insights, effective dashboards, and advanced data analysis. TABLE OF CONTENTS 1. Introduction to Data Visualization and Visual Analytics 2. Getting Started with Tableau Desktop 3. Connecting to Data Sources and Data Interpretation 4. Basic Data Visualization and Graphs in Tableau 5. Dynamic Interaction: Parameters, Set, Hierarchies, and Sorting 6. Dynamic Interaction Using Filter and Action on Worksheet 7. Advanced Data Visualization and Graphs in Tableau 8. Calculations in Tableau 9. Dashboard Design and Story Creation 10. Enhancing Dashboards: Sharing and Collaboration 11. Integrating AI in Tableau: An Overview 12. Data Cleaning and Preparation Using Tableau Prep Builder


Automated Data Analysis Using Excel

Automated Data Analysis Using Excel

Author: Brian D. Bissett

Publisher: CRC Press

Published: 2020-08-18

Total Pages: 610

ISBN-13: 1000088472

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This new edition covers some of the key topics relating to the latest version of MS Office through Excel 2019, including the creation of custom ribbons by injecting XML code into Excel Workbooks and how to link Excel VBA macros to customize ribbon objects. It now also provides examples in using ADO, DAO, and SQL queries to retrieve data from databases for analysis. Operations such as fully automated linear and non-linear curve fitting, linear and non-linear mapping, charting, plotting, sorting, and filtering of data have been updated to leverage the newest Excel VBA object models. The text provides examples on automated data analysis and the preparation of custom reports suitable for legal archiving and dissemination. Functionality Demonstrated in This Edition Includes: Find and extract information raw data files Format data in color (conditional formatting) Perform non-linear and linear regressions on data Create custom functions for specific applications Generate datasets for regressions and functions Create custom reports for regulatory agencies Leverage email to send generated reports Return data to Excel using ADO, DAO, and SQL queries Create database files for processed data Create tables, records, and fields in databases Add data to databases in fields or records Leverage external computational engines Call functions in MATLAB® and Origin® from Excel


Algorithms and Data Structures

Algorithms and Data Structures

Author: Helmut Knebl

Publisher: Springer Nature

Published: 2020-10-31

Total Pages: 349

ISBN-13: 303059758X

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This is a central topic in any computer science curriculum. To distinguish this textbook from others, the author considers probabilistic methods as being fundamental for the construction of simple and efficient algorithms, and in each chapter at least one problem is solved using a randomized algorithm. Data structures are discussed to the extent needed for the implementation of the algorithms. The specific algorithms examined were chosen because of their wide field of application. This book originates from lectures for undergraduate and graduate students. The text assumes experience in programming algorithms, especially with elementary data structures such as chained lists, queues, and stacks. It also assumes familiarity with mathematical methods, although the author summarizes some basic notations and results from probability theory and related mathematical terminology in the appendices. He includes many examples to explain the individual steps of the algorithms, and he concludes each chapter with numerous exercises.


Data Structures and Algorithms with the C++ STL

Data Structures and Algorithms with the C++ STL

Author: John Farrier

Publisher: Packt Publishing Ltd

Published: 2024-02-29

Total Pages: 458

ISBN-13: 1835469078

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Explore the C++ STL with practical guidance on vectors, algorithms, and custom types for intermediate developers, enriched by real-world examples. Key Features Master the std::vector and understand why it should be your default container of choice Understand each STL algorithm and its practical applications Gain insights into advanced topics such as exception guarantees and thread safety Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWhile the Standard Template Library (STL) offers a rich set of tools for data structures and algorithms, navigating its intricacies can be daunting for intermediate C++ developers without expert guidance. This book offers a thorough exploration of the STL’s components, covering fundamental data structures, advanced algorithms, and concurrency features. Starting with an in-depth analysis of the std::vector, this book highlights its pivotal role in the STL, progressing toward building your proficiency in utilizing vectors, managing memory, and leveraging iterators. The book then advances to STL’s data structures, including sequence containers, associative containers, and unordered containers, simplifying the concepts of container adaptors and views to enhance your knowledge of modern STL programming. Shifting the focus to STL algorithms, you’ll get to grips with sorting, searching, and transformations and develop the skills to implement and modify algorithms with best practices. Advanced sections cover extending the STL with custom types and algorithms, as well as concurrency features, exception safety, and parallel algorithms. By the end of this book, you’ll have transformed into a proficient STL practitioner ready to tackle real-world challenges and build efficient and scalable C++ applications.What you will learn Streamline data handling using the std::vector Master advanced usage of STL iterators Optimize memory in STL containers Implement custom STL allocators Apply sorting and searching with STL algorithms Craft STL-compatible custom types Manage concurrency and ensure thread safety in STL Harness the power of parallel algorithms in STL Who this book is for This book is for intermediate-level C++ developers looking to enhance their software development skills. Familiarity with basic C++ syntax and object-oriented programming (OOP) as well as some exposure to data structures and algorithms is assumed. Tailored to software engineers, computer science students, and hobbyist programmers, this book delves into C++ STL for practical application, performance enhancement, and efficient coding practices.


Excel for Microsoft 365 for Lawyers Training Tutorial Manual Classroom in a Book

Excel for Microsoft 365 for Lawyers Training Tutorial Manual Classroom in a Book

Author: TeachUcomp

Publisher: TeachUcomp Inc.

Published:

Total Pages: 371

ISBN-13:

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Complete classroom training manuals for Microsoft Excel 2019 for Lawyers. 479 pages and 224 individual topics. Includes practice exercises and keyboard shortcuts. You will learn how to effectively use legal templates, legal business functions (such as the Pv and Fv functions) and simple IOLTA management. In addition, you’ll receive our complete Excel curriculum. Topics Covered: Getting Acquainted with Excel 1. About Excel 2. The Excel Environment 3. The Title Bar 4. The Ribbon 5. The “File” Tab and Backstage View 6. Scroll Bars 7. The Quick Access Toolbar 8. Touch Mode 9. The Formula Bar 10. The Workbook Window 11. The Status Bar 12. The Workbook View Buttons 13. The Zoom Slider 14. The Mini Toolbar 15. Keyboard Shortcuts File Management 1. Creating New Workbooks 2. Saving Workbooks 3. Closing Workbooks 4. Opening Workbooks 5. Recovering Unsaved Workbooks 6. Opening a Workbook in a New Window 7. Arranging Open Workbook Windows 8. Freeze Panes 9. Split Panes 10. Hiding and Unhiding Workbook Windows 11.Comparing Open Workbooks 12. Switching Open Workbooks 13. Switching to Full Screen Mode 14. Working With Excel File Formats 15. AutoSave Online Workbooks Data Entry 1. Selecting Cells 2. Entering Text into Cells 3. Entering Numbers into Cells 4. AutoComplete 5. Pick from Drop-Down List 6. Flash Fill 7. Selecting Ranges 8. Ranged Data Entry 9. Using AutoFill Creating Formulas 1. Ranged Formula Syntax 2. Simple Formula Syntax 3. Writing Formulas 4. Using AutoSum 5. Inserting Functions 6. Editing a Range 7. Formula AutoCorrect 8. AutoCalculate 9. Function Compatibility Copying & Pasting Formulas 1. Relative References and Absolute References 2. Cutting, Copying, and Pasting Data 3. AutoFilling Cells 4. The Undo Button 5. The Redo Button Columns & Rows 1. Selecting Columns & Rows 2. Adjusting Column Width and Row Height 3. Hiding and Unhiding Columns and Rows 4. Inserting and Deleting Columns and Rows Formatting Worksheets 1. Formatting Cells 2. The Format Cells Dialog Box 3. Clearing All Formatting from Cells 4. Copying All Formatting from Cells to Another Area Worksheet Tools 1. Inserting and Deleting Worksheets 2. Selecting Multiple Worksheets 3. Navigating Worksheets 4. Renaming Worksheets 5. Coloring Worksheet Tabs 6. Copying or Moving Worksheets Setting Worksheet Layout 1. Using Page Break Preview 2. Using the Page Layout View 3. Opening The Page Setup Dialog Box 4. Page Settings 5. Setting Margins 6. Creating Headers and Footers 7. Sheet Settings Printing Spreadsheets 1. Previewing and Printing Worksheets Helping Yourself 1. Using Excel Help 2. Microsoft Search in Excel 3. Smart Lookup Creating 3D Formulas 1. Creating 3D Formulas 2. 3D Formula Syntax 3. Creating 3D Range References Named Ranges 1. Naming Ranges 2. Creating Names from Headings 3. Moving to a Named Range 4. Using Named Ranges in Formulas 5. Naming 3D Ranges 6. Deleting Named Ranges Conditional Formatting and Cell Styles 1. Conditional Formatting 2. Finding Cells with Conditional Formatting 3. Clearing Conditional Formatting 4. Using Table and Cell Styles Paste Special 1. Using Paste Special 2. Pasting Links Sharing Workbooks 1. About Co-authoring and Sharing Workbooks 2. Co-authoring Workbooks 3. Adding Shared Workbook Buttons in Excel 4. Traditional Workbook Sharing 5. Highlighting Changes 6. Reviewing Changes 7. Using Comments and Notes 8. Compare and Merge Workbooks Auditing Worksheets 1. Auditing Worksheets 2. Tracing Precedent and Dependent Cells 3. Tracing Errors 4. Error Checking 5. Using the Watch Window 6. Cell Validation Outlining Worksheets 1. Using Outlines 2. Applying and Removing Outlines 3. Applying Subtotals Consolidating Worksheets 1. Consolidating Data Tables 1. Creating a Table 2. Adding an Editing Records 3. Inserting Records and Fields 4. Deleting Records and Fields Sorting Data 1. Sorting Data 2. Custom Sort Orders Filtering Data 1. Using AutoFilters 2. Using the Top 10 AutoFilter 3. Using a Custom AutoFilter 4. Creating Advanced Filters 5. Applying Multiple Criteria 6. Using Complex Criteria 7. Copying Filter Results to a New Location 8. Using Database Functions Using What-If Analysis 1. Using Data Tables 2. Using Scenario Manager 3. Using Goal Seek 4. Forecast Sheets Table-Related Functions 1. The Hlookup and Vlookup Functions 2. Using the IF, AND, and OR Functions 3. The IFS Function Sparklines 1. Inserting and Deleting Sparklines 2. Modifying Sparklines Creating Charts In Excel 1. Creating Charts 2. Selecting Charts and Chart Elements 3. Adding Chart Elements 4. Moving and Resizing Charts 5. Changing the Chart Type 6. Changing the Data Range 7. Switching Column and Row Data 8. Choosing a Chart Layout 9. Choosing a Chart Style 10. Changing Color Schemes 11. Printing Charts 12. Deleting Charts Formatting Charts in Excel 1. Formatting Chart Objects 2. Inserting Objects into a Chart 3. Formatting Axes 4. Formatting Axis Titles 5. Formatting a Chart Title 6. Formatting Data Labels 7. Formatting a Data Table 8. Formatting Error Bars 9. Formatting Gridlines 10. Formatting a Legend 11. Formatting Drop and High-Low Lines 12. Formatting Trendlines 13. Formatting Up/Down Bars 14. Formatting the Chart and Plot Areas 15. Naming Charts 16. Applying Shape Styles 17. Applying WordArt Styles 18. Saving Custom Chart Templates Data Models 1. Creating a Data Model from External Relational Data 2. Creating a Data Model from Excel Tables 3. Enabling Legacy Data Connections 4. Relating Tables in a Data Model 5. Managing a Data Model PivotTables and PivotCharts 1. Creating Recommended PivotTables 2. Manually Creating a PivotTable 3. Creating a PivotChart 4. Manipulating a PivotTable or PivotChart 5. Changing Calculated Value Fields 6. Formatting PivotTables 7. Formatting PivotCharts 8. Setting PivotTable Options 9. Sorting and Filtering Using Field Headers PowerPivot 1. Starting PowerPivot 2. Managing the Data Model 3. Calculated Columns and Fields 4. Measures 5. Creating KPIs 6. Creating and Managing Perspectives 7. PowerPivot PivotTables and PivotCharts 3D Maps 1. Enabling 3D Maps 2. Creating a New 3D Maps Tour 3. Editing a 3D Maps Tour 4. Managing Layers in a 3D Maps Tour 5. Filtering Layers 6. Setting Layer Options 7. Managing Scenes 8. Custom 3D Maps 9. Custom Regions 10. World Map Options 11. Inserting 3D Map Objects 12. Previewing a Scene 13. Playing a 3D Maps Tour 14. Creating a Video of a 3D Maps Tour 15. 3D Maps Options Slicers and Timelines 1. Inserting and Deleting Slicers 2. Modifying Slicers 3. Inserting and Deleting Timelines 4. Modifying Timelines Security Features 1. Unlocking Cells 2. Worksheet Protection 3. Workbook Protection 4. Password Protecting Excel Files Making Macros 1. Recording Macros 2. Running and Deleting Recorded Macros 3. The Personal Macro Workbook Using Online Templates 1. Downloading Online Templates 2. Saving a Template 3. Creating New Workbooks from Saved Templates Legal Templates 1. Chapter Overview 2. Using the Law Firm Financial Analysis Worksheet 3. Using the Law Firm Project Tracker 4. Using the Law Firm Project Plan Legal Business Functions 1. The Pv Function 2. The Fv Function 3. The IRR and XIRR Functions Simple IOLTA Management 1. IOLTA Basics 2. Using Excel for Simple IOLTA Management 3. Using the Simple IOLTA Template


Elements of Dual Scaling

Elements of Dual Scaling

Author: Shizuhiko Nishisato

Publisher: Psychology Press

Published: 2014-04-04

Total Pages: 398

ISBN-13: 1317781945

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Quantification methodology of categorical data is a popular topic in many branches of science. Most books, however, are either too advanced for those who need it, or too elementary to gain insight into its potential. This book fills the gap between these extremes, and provides specialists with an easy and comprehensive reference, and others with a complete treatment of dual scaling methodology -- starting with motivating examples, followed by an introductory discussion of necessary quantitative skills, and ending with different perpsectives on dual scaling with examples, advanced topics, and future possibilities. This book attempts to successively upgrade readers' readiness for handling analysis of qualitative, categorical, and non-metric data, without overloading them. The writing style is very friendly, and difficult topics are always accompanied by simple illlustrative examples. There are a number of topics on dual scaling which were previously addressed only in journal articles or in publications that are not readily available. Integration of these topics into the standard framework makes the current book unique, and its extensive coverage of relevant topics is unprecedented. This book will serve as both reference and textbook for all those who want to analyze categorical data effectively.