LEADER 03417nam 2200493 450 001 9910554883703321 005 20220407110642.0 010 $a1-119-27817-1 010 $a1-119-27819-8 010 $a1-119-27820-1 035 $a(CKB)4330000000009891 035 $a(MiAaPQ)EBC5978899 035 $a(CaSebORM)9781119278160 035 $a(EXLCZ)994330000000009891 100 $a20191209d2020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAvoiding data pitfalls $ehow to steer clear of common blunders when working with data and presenting analysis and visualizations /$fBen Jones 205 $a1st edition 210 1$aHoboken, New Jersey :$cWiley,$d[2020] 210 4$d©2020 215 $a1 online resource (273 pages) 300 $aIncludes index. 311 $a1-119-27816-3 320 $aIncludes bibliographical references and index. 330 $aAvoid data blunders and create truly useful visualizations Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plenty of data tools exist, along with plenty of books that tell you how to use them?but unless you truly understand how to work with data, each of these tools can ultimately mislead and cause costly mistakes. This book walks you step by step through the full data visualization process, from calculation and analysis through accurate, useful presentation. Common blunders are explored in depth to show you how they arise, how they have become so common, and how you can avoid them from the outset. Then and only then can you take advantage of the wealth of tools that are out there?in the hands of someone who knows what they're doing, the right tools can cut down on the time, labor, and myriad decisions that go into each and every data presentation. Workers in almost every industry are now commonly expected to effectively analyze and present data, even with little or no formal training. There are many pitfalls?some might say chasms ?in the process, and no one wants to be the source of a data error that costs money or even lives. This book provides a full walk-through of the process to help you ensure a truly useful result. Delve into the "data-reality gap" that grows with our dependence on data Learn how the right tools can streamline the visualization process Avoid common mistakes in data analysis, visualization, and presentation Create and present clear, accurate, effective data visualizations To err is human, but in today's data-driven world, the stakes can be high and the mistakes costly. Don't rely on "catching" mistakes, avoid them from the outset with the expert instruction in Avoiding Data Pitfalls . 606 $aInformation visualization 606 $aInvestigació quantitativa$2lemac 606 $aVisualització de la informació$2lemac 615 0$aInformation visualization. 615 7$aInvestigació quantitativa 615 7$aVisualització de la informació 676 $a001.4226 700 $aJones$b Ben$f1978-$01218619 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910554883703321 996 $aAvoiding data pitfalls$92818138 997 $aUNINA