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Voksenindhold er synligt. 


2019

EN

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 Exa...

Guerrilla Data Analysis Using Microsoft Excel

2nd Edition Covering Excel 2010/2013


2015

EN

This book includes step-by-step examples and case studies that teach users the many power tricks for analyzing data in Excel. These tips have been honed by Oz du Soleil, a former financial analyst charged with taking mainframe data and turning it into useful information quickly, and "Mr. Excel" himself, Bill Jelen. Topics include data quality, validation, perfectly sorting with one click, matching lists of data, data consolidation, data subtotals, pivot tables, pivot charts, tables, and mu...

2019

EN

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 headers Deleting summary rows Filling in gaps Flattening a report Merging and appending data from multiple sources Pulling data from source X to complete data in source Y Splittin...

Guerrilla Data Analysis Using Microsoft Excel

Overcoming Crap Data and Excel Skirmishes

2022

EN

This book includes step-by-step examples and case studies that teach users the many power tricks for analyzing data in Excel. These are tips honed by Bill Jelen, "MrExcel," and Oz do Soleil during their careers run as a financial analyst charged with taking mainframe data and turning it into useful information quickly. Topics include data quality, validation, perfectly sorting with one click every time, matching lists of data, data consolidation, data subtotals, pivot tables, pivot charts,...