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Author: MrExcel's Holy Macro! Books
Publisher: Packt Publishing Ltd
ISBN: 1837026289
Category : Computers
Languages : en
Pages : 56
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Book Description
Discover Excel's real-world data-cleaning strategies, including proper case, fuzzy matching, and parsing techniques. Learn to merge workbooks, flatten reports, and eliminate errors while optimizing workflows. Key Features Core Excel functions for preparing and cleansing data Methods for managing duplicates and inconsistent datasets Strategic insights for streamlining data workflows Book DescriptionThis book offers a deep dive into data cleansing using Excel. The content is built for professionals who frequently encounter messy, unstructured, or inconsistent data and need a systematic approach to clean and organize it. Readers will explore strategies to correct names, manage duplicates, parse data, and merge multiple datasets effectively. Practical examples guide the reader through the intricacies of Excel’s functions, focusing on actionable solutions and enhancing productivity. Whether it’s about removing duplicates, segmenting datasets, or flattening complex reports, this book provides easy-to-follow methods to ensure data becomes useful and accessible. By combining clear explanations with real-world applications, this book equips readers to handle diverse data challenges with confidence. Professionals will be empowered to make better decisions and streamline their workflows through cleaner, more reliable data.What you will learn Master data cleansing using proper case transformation Compare and reconcile lists with ease Parse and segment data for efficient analysis Apply fuzzy matching to identify duplicates effectively Merge and append multiple workbooks confidently Flatten reports into clean, usable data formats Who this book is for Professionals working with Excel, including data analysts, project managers, and administrative staff will find this book helpful. It is ideal for readers with a basic understanding of Excel, seeking practical skills in data management and cleansing.
Author: MrExcel's Holy Macro! Books
Publisher: Packt Publishing Ltd
ISBN: 1837026289
Category : Computers
Languages : en
Pages : 56
Get Book Here
Book Description
Discover Excel's real-world data-cleaning strategies, including proper case, fuzzy matching, and parsing techniques. Learn to merge workbooks, flatten reports, and eliminate errors while optimizing workflows. Key Features Core Excel functions for preparing and cleansing data Methods for managing duplicates and inconsistent datasets Strategic insights for streamlining data workflows Book DescriptionThis book offers a deep dive into data cleansing using Excel. The content is built for professionals who frequently encounter messy, unstructured, or inconsistent data and need a systematic approach to clean and organize it. Readers will explore strategies to correct names, manage duplicates, parse data, and merge multiple datasets effectively. Practical examples guide the reader through the intricacies of Excel’s functions, focusing on actionable solutions and enhancing productivity. Whether it’s about removing duplicates, segmenting datasets, or flattening complex reports, this book provides easy-to-follow methods to ensure data becomes useful and accessible. By combining clear explanations with real-world applications, this book equips readers to handle diverse data challenges with confidence. Professionals will be empowered to make better decisions and streamline their workflows through cleaner, more reliable data.What you will learn Master data cleansing using proper case transformation Compare and reconcile lists with ease Parse and segment data for efficient analysis Apply fuzzy matching to identify duplicates effectively Merge and append multiple workbooks confidently Flatten reports into clean, usable data formats Who this book is for Professionals working with Excel, including data analysts, project managers, and administrative staff will find this book helpful. It is ideal for readers with a basic understanding of Excel, seeking practical skills in data management and cleansing.
Author: Oz du Soleil
Publisher: Tickling Keys, Inc.
ISBN: 1615471502
Category : Computers
Languages : en
Pages : 82
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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
Author: MrExcel's Holy Macro! Books
Publisher: Packt Publishing Ltd
ISBN: 1837026181
Category : Computers
Languages : en
Pages : 60
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Book Description
Unlock the secrets of Power Query in Excel to clean, parse, and transform data. Learn key techniques like joining datasets, unpivoting, and creating custom columns to simplify and streamline your data analysis process. Key Features A clear guide to Power Query tools and techniques Practical examples of common data tasks A complete coverage of advanced transformations and joins Book DescriptionThis book provides a step-by-step guide to using Power Query in Excel for efficient data cleaning and transformation. Starting with an introduction to its capabilities, it explains how to import data, handle missing values, and parse text fields with ease. Advanced techniques such as merging datasets, appending data, and performing joins are explored in detail. The book also covers grouping data, creating conditional and custom columns, and reshaping data through unpivoting for analysis. Each concept is illustrated with practical examples for clarity. By the end of the book, readers will be equipped with the skills to automate repetitive tasks and streamline workflows. Whether dealing with messy data or preparing datasets for analysis, this guide ensures you can confidently tackle any Excel data transformation challenge.What you will learn Import and prepare data using Power Query Apply fill up and fill down techniques Parse and split text fields by delimiters Merge and append datasets seamlessly Group and unpivot data for analysis Create custom and conditional columns Who this book is for This book is ideal for data analysts, business professionals, and Excel users looking to simplify data cleaning and transformation tasks. Readers are recommended to have a basic understanding of Excel. Familiarity with formulas and tables is helpful but not required.
Author: Kristoffer Bjärkefur
Publisher: World Bank Publications
ISBN: 1464816956
Category : Business & Economics
Languages : en
Pages : 393
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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 asillustrative 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
Author: Jason W. Osborne
Publisher: SAGE
ISBN: 1412988012
Category : Mathematics
Languages : en
Pages : 297
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Book Description
Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean data. This book provides a clear, step-by-step process of examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. Jason W. Osborne, author of Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are research-based and will motivate change in practice by empirically demonstrating, for each topic, the benefits of following best practices and the potential consequences of not following these guidelines. If your goal is to do the best research you can do, draw conclusions that are most likely to be accurate representations of the population(s) you wish to speak about, and report results that are most likely to be replicated by other researchers, then this basic guidebook will be indispensible.
Author: Oz Du Soleil
Publisher:
ISBN:
Category : Electronic books
Languages : en
Pages : 0
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Book Description
This book explains about Excel Data. --
Author: Ken Puls
Publisher: Tickling Keys, Inc.
ISBN: 1615473459
Category : Computers
Languages : en
Pages : 298
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Book Description
Power Query is one component of the Power BI (Business Intelligence) product from Microsoft, and "M" is the name of the programming language created by it. As more business intelligence pros begin using Power Pivot, they find that they do not have the Excel skills to clean the data in Excel; Power Query solves this problem. This book shows how to use the Power Query tool to get difficult data sets into both Excel and Power Pivot, and is solely devoted to Power Query dashboarding and reporting.
Author: Bill Jelen
Publisher: Tickling Keys, Inc.
ISBN: 1615472657
Category : Computers
Languages : en
Pages : 141
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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.
Author: Margaret Hogarth
Publisher: Elsevier
ISBN: 1780633475
Category : Business & Economics
Languages : en
Pages : 579
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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
Author: Stefanie Molin
Publisher: Packt Publishing Ltd
ISBN: 1789612802
Category : Computers
Languages : en
Pages : 702
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Book Description
Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery Key FeaturesPerform efficient data analysis and manipulation tasks using pandasApply pandas to different real-world domains using step-by-step demonstrationsGet accustomed to using pandas as an effective data exploration toolBook Description Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value. Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification, using scikit-learn, to make predictions based on past data. By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. What you will learnUnderstand how data analysts and scientists gather and analyze dataPerform data analysis and data wrangling in PythonCombine, group, and aggregate data from multiple sourcesCreate data visualizations with pandas, matplotlib, and seabornApply machine learning (ML) algorithms to identify patterns and make predictionsUse Python data science libraries to analyze real-world datasetsUse pandas to solve common data representation and analysis problemsBuild Python scripts, modules, and packages for reusable analysis codeWho this book is for This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist who is looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial.
