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Author : Anthony Peter Macmillan Coxon
Publisher : SAGE
ISBN 13 : 9780803972377
Total Pages : 108 pages
Book Rating : 4.9/5 (723 download)
Download or read book Sorting Data written by Anthony Peter Macmillan Coxon and published by SAGE. This book was released on 1999-07-08 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to collect, describe, compare and analyze data.
Author : Maria Langer
Publisher : Flying M Productions
ISBN 13 : 1886637067
Total Pages : 120 pages
Book Rating : 4.8/5 (866 download)
Download or read book Sorting Excel Data: The Basics & Beyond written by Maria Langer and published by Flying M Productions. This book was released on 2012-01-15 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Duncan A. Buell
Publisher : Jones & Bartlett Publishers
ISBN 13 : 1449628079
Total Pages : 409 pages
Book Rating : 4.4/5 (496 download)
Download or read book Data Structures Using Java written by Duncan A. Buell and published by Jones & Bartlett Publishers. This book was released on 2013 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Structures & Theory of Computation
Author : Dzejla Medjedovic
Publisher : Simon and Schuster
ISBN 13 : 1617298034
Total Pages : 302 pages
Book Rating : 4.6/5 (172 download)
Download or read book Algorithms and Data Structures for Massive Datasets written by Dzejla Medjedovic and published by Simon and Schuster. This book was released on 2022-07-05 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Dr. Arpana Chaturvedi
Publisher : BPB Publications
ISBN 13 : 9355517521
Total Pages : 776 pages
Book Rating : 4.3/5 (555 download)
Download or read book Mastering Data Visualization with Tableau written by Dr. Arpana Chaturvedi and published by BPB Publications. This book was released on 2024-07-11 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author : Brian D. Bissett
Publisher : CRC Press
ISBN 13 : 1000088472
Total Pages : 610 pages
Book Rating : 4.0/5 ( download)
Download or read book Automated Data Analysis Using Excel written by Brian D. Bissett and published by CRC Press. This book was released on 2020-08-18 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author : Helmut Knebl
Publisher : Springer Nature
ISBN 13 : 303059758X
Total Pages : 349 pages
Book Rating : 4.0/5 (35 download)
Download or read book Algorithms and Data Structures written by Helmut Knebl and published by Springer Nature. This book was released on 2020-10-31 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : John Farrier
Publisher : Packt Publishing Ltd
ISBN 13 : 1835469078
Total Pages : 458 pages
Book Rating : 4.8/5 (354 download)
Download or read book Data Structures and Algorithms with the C++ STL written by John Farrier and published by Packt Publishing Ltd. This book was released on 2024-02-29 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : TeachUcomp
Publisher : TeachUcomp Inc.
ISBN 13 :
Total Pages : 371 pages
Book Rating : 4./5 ( download)
Download or read book Excel for Microsoft 365 for Lawyers Training Tutorial Manual Classroom in a Book written by TeachUcomp and published by TeachUcomp Inc.. This book was released on with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author : Shizuhiko Nishisato
Publisher : Psychology Press
ISBN 13 : 1317781945
Total Pages : 398 pages
Book Rating : 4.3/5 (177 download)
Download or read book Elements of Dual Scaling written by Shizuhiko Nishisato and published by Psychology Press. This book was released on 2014-04-04 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Daniel G. Murray
Publisher : John Wiley & Sons
ISBN 13 : 1118839463
Total Pages : 528 pages
Book Rating : 4.1/5 (188 download)
Download or read book Tableau Your Data! written by Daniel G. Murray and published by John Wiley & Sons. This book was released on 2013-10-29 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Best practices and step-by-step instructions for using the Tableau Software toolset Although the Tableau Desktop interface is relatively intuitive, this book goes beyond the simple mechanics of the interface to show best practices for creating effective visualizations for specific business intelligence objectives. It illustrates little-known features and techniques for getting the most from the Tableau toolset, supporting the needs of the business analysts who use the product as well as the data and IT managers who support it. This comprehensive guide covers the core feature set for data analytics, illustrating best practices for creating and sharing specific types of dynamic data visualizations. Featuring a helpful full-color layout, the book covers analyzing data with Tableau Desktop, sharing information with Tableau Server, understanding Tableau functions and calculations, and Use Cases for Tableau Software. Includes little-known, as well as more advanced features and techniques, using detailed, real-world case studies that the author has developed as part of his consulting and training practice Explains why and how Tableau differs from traditional business information analysis tools Shows you how to deploy dashboards and visualizations throughout the enterprise Provides a detailed reference resource that is aimed at users of all skill levels Depicts ways to leverage Tableau across the value chain in the enterprise through case studies that target common business requirements Endorsed by Tableau Software Tableau Your Data shows you how to build dynamic, best-of-breed visualizations using the Tableau Software toolset.
Author : TeachUcomp
Publisher : TeachUcomp Inc.
ISBN 13 :
Total Pages : 479 pages
Book Rating : 4./5 ( download)
Download or read book Microsoft Excel 2019 for Lawyers Training Manual Classroom in a Book written by TeachUcomp and published by TeachUcomp Inc.. This book was released on 2019-10-27 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 View 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. The Tell Me Bar 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
Author : Dr. Mahammad Rafi D
Publisher : RK Publication
ISBN 13 : 9348020730
Total Pages : 340 pages
Book Rating : 4.3/5 (48 download)
Download or read book Programming and Data Structures written by Dr. Mahammad Rafi D and published by RK Publication. This book was released on 2024-08-23 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming and Data Structures a comprehensive introduction to core programming concepts and fundamental data structures essential for efficient algorithm design and software development. Covering key topics such as arrays, linked lists, stacks, queues, trees, and graphs, this book balances theoretical insights with practical applications. Each chapter is crafted to deepen understanding, presenting real-world examples and exercises that build problem-solving skills. Ideal for students and professionals, it equips readers with the tools to analyze, optimize, and implement data structures in a variety of programming languages.
Author : NB Venkateswarlu | EV Prasad
Publisher : S. Chand Publishing
ISBN 13 : 8121932475
Total Pages : 1067 pages
Book Rating : 4.1/5 (219 download)
Download or read book C and Data Structures written by NB Venkateswarlu | EV Prasad and published by S. Chand Publishing. This book was released on 2010-12 with total page 1067 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Snap Shot Oriented Treatise with Live Engineering Examples. Each chapter is is supplemented with concept oriented questions with answers and explanations. Some practical life problems from Education, business are included.
Author : Philip Adu
Publisher : Routledge
ISBN 13 : 1351044494
Total Pages : 460 pages
Book Rating : 4.3/5 (51 download)
Download or read book A Step-by-Step Guide to Qualitative Data Coding written by Philip Adu and published by Routledge. This book was released on 2019-04-05 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings. The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples. After reading this book, readers will be able to: Analyze qualitative data and present their findings Select an appropriate qualitative analysis tool Decide on the right qualitative coding and categorization strategies for their analysis Develop relationships among categories/themes Choose a suitable format for the presentation of the findings It is a great resource for qualitative research instructors and undergraduate and graduate students who want to gain skills in analyzing qualitative data or who plan to conduct a qualitative study. It is also useful for researchers and practitioners in the social and health sciences fields.
Author : Mark Gardener
Publisher : Pelagic Publishing Ltd
ISBN 13 : 1784270091
Total Pages : 376 pages
Book Rating : 4.7/5 (842 download)
Download or read book Managing Data Using Excel written by Mark Gardener and published by Pelagic Publishing Ltd. This book was released on 2015-03-16 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microsoft Excel is a powerful tool that can transform the way you use data. This book explains in comprehensive and user-friendly detail how to manage, make sense of, explore and share data, giving scientists at all levels the skills they need to maximize the usefulness of their data. Readers will learn how to use Excel to: * Build a dataset – how to handle variables and notes, rearrangements and edits to data. * Check datasets – dealing with typographic errors, data validation and numerical errors. * Make sense of data – including datasets for regression and correlation; summarizing data with averages and variability; and visualizing data with graphs, pivot charts and sparklines. * Explore regression data – finding, highlighting and visualizing correlations. * Explore time-related data – using pivot tables, sparklines and line plots. * Explore association data – creating and visualizing contingency tables. * Explore differences – pivot tables and data visualizations including box-whisker plots. * Share data – methods for exporting and sharing your datasets, summaries and graphs. Alongside the text, Have a Go exercises, Tips and Notes give readers practical experience and highlight important points, and helpful self-assessment exercises and summary tables can be found at the end of each chapter. Supplementary material can also be downloaded on the companion website. Managing Data Using Excel is an essential book for all scientists and students who use data and are seeking to manage data more effectively. It is aimed at scientists at all levels but it is especially useful for university-level research, from undergraduates to postdoctoral researchers.
Author : Debra Wetcher-Hendricks
Publisher : John Wiley & Sons
ISBN 13 : 1118626117
Total Pages : 416 pages
Book Rating : 4.1/5 (186 download)
Download or read book Analyzing Quantitative Data written by Debra Wetcher-Hendricks and published by John Wiley & Sons. This book was released on 2014-08-21 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: A user-friendly, hands-on guide to recognizing and conducting proper research techniques in data collection Offering a unique approach to numerical research methods, Analyzing Quantitative Data: An Introduction for Social Researchers presents readers with the necessary statistical applications for carrying out the key phases of conducting and evaluating a research project. The book guides readers through the steps of data analysis, from organizing raw data to utilizing descriptive statistics and tests of significance, drawing valid conclusions, and writing research reports. The author successfully provides a presentation that is accessible and hands-on rather than heavily theoretical, outlining the key quantitative processes and the use of software to successfully draw valid conclusions from gathered data. In its discussion of methods for organizing data, the book includes suggestions for coding and entry into spreadsheets or databases while also introducing commonly used descriptive statistics and clarifying their roles in data analysis. Next, inferential statistics is explored in-depth with explanations of and instructions for performing chi-square tests, t-tests, analyses of variance, correlation and regression analyses, and a number of advanced statistical procedures. Each chapter contains explanations of when to use the tests described, relevant formulas, and sample computations. The book concludes with guidance on extracting meaningful conclusions from statistical tests and writing research reports that describe procedures and analyses. Throughout the book, Statistical Resources for SPSS® sections provide fundamental instruction for using SPSS® to obtain the results presented. Where necessary, the author provides basic theoretical explanations for distributions and background information regarding formulas. Each chapter concludes with practice problems, and a related website features derivations of the book's formulas along with additional resources for performing the discussed processes. Analyzing Quantitative Data is an excellent book for social sciences courses on data analysis and research methods at the upper-undergraduate and graduate levels. It also serves as a valuable reference for applied statisticians and practitioners working in the fields of education, medicine, business and public service who analyze, interpret, and evaluate data in their daily work.
