Excel Data Cleansing Straight to the Point


Book Description

This Straight to the Point guide provides an introduction to data cleansing, which also goes by names such as data munging and data wrangling. Whatever the name, it basically means doing what needs to be done to make data useful and trustworthy. Data cleansing can include the following tasks:Deleting unnecessary headersDeleting summary rowsFilling in gapsFlattening a reportMerging and appending data from multiple sourcesPulling data from source X to complete data in source YSplitting names from addressesIdentifying and deleting duplicate recordsConverting units of measurement in multiple sources




Cleaning Excel Data With Power Query Straight to the Point


Book Description

Author Oz Du Soleil's area of frustration with Excel is cleaning data. From his earliest days with Excel, he has found himself constantly needing to fix names that are ALLCAPS, peel addresses away from phone numbers, and fixing all the many other things that prevent data from being useful. In this intro to Power Query, Oz shows you five core techniques in Excel Power Query: Splitting data, Filling blanks, Joining data sets, grouping and summarizing, and adding columns using Column From Examples.




Guerrilla Data Analysis Using Microsoft Excel


Book Description

Master Excel data analysis with this hands-on guide. Learn efficient techniques, advanced functions, and best practices for real-world scenarios. Key Features Hands-on techniques for efficient Excel data analysis Advanced functions and best practices for real-world scenarios Step-by-step guidance on complex tasks like data validation and dynamic arrays Book DescriptionUnlock Microsoft Excel's hidden potential with this dynamic guide designed for data professionals and enthusiasts. You'll start by reviewing Excel basics before advancing to powerful tools like Excel Tables, Pivot Tables, and Power Query. Each chapter enhances your ability to analyze and visualize data efficiently, from complex lookups and dynamic arrays to essential data validation techniques that ensure accuracy and integrity in your spreadsheets. As you progress, you'll learn how to protect your work with advanced sheet protection methods and collaboration tools for seamless teamwork. The book also covers sophisticated functions like INDIRECT, OFFSET, and LET, preparing you to tackle complex data challenges. Additionally, you'll receive critical advice on avoiding the pitfalls of machine learning-driven features and maintaining clean, organized data. By the end of the guide, you'll have mastered Excel's advanced capabilities, empowering you to streamline workflows, optimize data processes, and make confident, data-driven decisions. This guide is your comprehensive resource for transforming your approach to data analysis with Excel.What you will learn Master Excel tables and dynamic spreadsheets Use VLOOKUP and XLOOKUP effectively Create and manipulate PivotTables Clean and validate data with Excel tools Apply conditional formatting and de-duping techniques Implement data models and relationships in Excel Who this book is for This book is ideal for data analysts, business professionals, and Excel users who need to enhance their data analysis skills. Readers should have a basic understanding of Excel and be familiar with its interface. No advanced Excel knowledge is required, but a willingness to learn and apply new techniques is essential.




Microsoft Excel 2019 Inside Out


Book Description

Conquer Microsoft Excel 2019–from the inside out! Dive into Microsoft Excel 2019–and really put your spreadsheet expertise to work. This supremely organized reference packs hundreds of timesaving solutions, tips, and workarounds–all you need to make the most of Excel’s most powerful tools for analyzing data and making better decisions. Renowned Excel expert Bill Jelen offers a complete tour of Excel 2019 and Excel in Office 365, from efficient interface customizations to advanced analysis, visualizations, and dashboards. Discover how experts tackle today’s key tasks–and challenge yourself to new levels of mastery. Enter formulas more efficiently, and fully control operators and dates Master the most widely-used functions in Excel Integrate external data from the web and other sources Easily transform complex datasets with Power Query Quickly summarize millions of records with Pivot Tables Perform ad hoc analyses with slicers and other filters Create advanced data mashups with Power Pivot Solve complex problems with What-If, Scenario Manager, Goal Seek, and Solver Automate repetitive tasks by editing recorded VBA code Demystify data with conditional formatting and other visualization techniques Use the newest maps, charts, and data types in Excel Show geographical changes over time with animated 3D maps Use dynamic array functions: SORT, FILTER, UNIQUE, SORTBY and SEQUENCE Find insights using Excel’s new artificial intelligence Collaborate via Excel 2019’s breakthrough CoAuthoring tools Publish Power BI Desktop dashboards based on Excel data




Data Clean-Up and Management


Book Description

Data use in the library has specific characteristics and common problems. Data Clean-up and Management addresses these, and provides methods to clean up frequently-occurring data problems using readily-available applications. The authors highlight the importance and methods of data analysis and presentation, and offer guidelines and recommendations for a data quality policy. The book gives step-by-step how-to directions for common dirty data issues. - Focused towards libraries and practicing librarians - Deals with practical, real-life issues and addresses common problems that all libraries face - Offers cradle-to-grave treatment for preparing and using data, including download, clean-up, management, analysis and presentation




Development Research in Practice


Book Description

Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University




Excel Dynamic Arrays Straight to the Point 2nd Edition


Book Description

New for Office 365 customers, one single formula sitting in one single cell can return many results. Those extra results will spill into adjacent cells. This is a major change to the calculation engine in Excel. This book covers the new functions added for Dynamic Arrays: SORT, SORTBY, FILTER, UNIQUE, SEQUENCE and RANDARRAY. It shows how Dynamic Arrays make the new XLOOKUP even more powerful. Dynamic arrays make every Excel calculation function more powerful. Pass a SEQUENCE to another function and Excel will Lift the function to return many results. Learn how to use the new # and @ operators in your formulas. After fifteen months of preview, the Dynamic Arrays are reaching general availability. Learn how the FastExcel SpeedTools add-in offers much-needed improvements, such as TOTALS, SLICES, VSTACK and UNPIVOT. Join in lobbying the Excel team to incorporate these improvements.







Practical Data Cleaning


Book Description

Tired of wrestling with messy data? Say goodbye to endless hours of frustration and hello to streamlined analysis with "Practical Data Cleaning: 19 Essential Tips to Scrub Your Dirty Data"! This isn't just another technical manual—it's your ultimate guide to mastering data cleaning without the headaches. Imagine breezing through your datasets effortlessly, knowing exactly how to tidy them up for crystal-clear analysis. No more staring at chaotic spreadsheets or battling with obscure software. With our proven tips and tricks, you'll transform your data from chaos to clarity in record time. Whether you're a seasoned analyst or a curious beginner, this book is your ticket to understanding your data inside out. Learn practical strategies to tackle common data issues, select the right tools for the job, and interpret your results with confidence. And guess what? You won't find any baffling jargon here—just straightforward advice that anyone can follow. Join thousands of data enthusiasts who have already unlocked the power of clean data with our bestselling guide. Perfect for professionals looking to boost their analytical prowess or students diving into the world of data science, "Practical Data Cleaning" is your essential companion on the path to data mastery. Stop struggling and start cleaning—order your copy today and discover why cleaning data doesn't have to be a chore! With our book, you'll be a data cleaning pro before you know it. Grab your copy now and get ready to conquer your data challenges effortlessly!




Applied Data Mining for Forecasting Using SAS


Book Description

Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large, and identifies the correlation structure between selected candidate inputs and the forecast variable. This book is essential for forecasting practitioners who need to understand the practical issues involved in applied forecasting in a business setting. Through numerous real-world examples, the authors demonstrate how to effectively use SAS software to meet their industrial forecasting needs. This book is part of the SAS Press program.