000 | 02294cam a22004457i 4500 | ||
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001 | 17608812 | ||
003 | OSt | ||
005 | 20190812160237.0 | ||
007 | ta | ||
008 | 130131s2013 inua 001 0 eng | ||
010 | _a 2013932100 | ||
020 | _a9781118388037 (pbk. : alk. paper) | ||
020 | _a1118388038 (pbk. : alk. paper) | ||
040 |
_aHNU _beng _erda _cLearning Resource Center |
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042 | _apcc | ||
050 | 0 | 0 | _aQA76.9.D343 |
082 |
_223 _a005.118/St12 |
||
084 | _aCCS | ||
089 |
_223 _aCCS 005.118/St12 |
||
100 | 1 |
_aStacey, Mark. _96020 |
|
245 | 1 | 0 |
_aVisual intelligence : _bmicrosoft tools and techniques for visualizing data / _cMark Stacey, Joe Salvatore, Adam Jorgensen. |
264 |
_aIndianapolis, IN : _bJohn Wiley & Sons, Inc., _c©2013. |
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300 |
_axxix, 400 pages : _bcolor illustrations ; _c24 cm |
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336 | _atext | ||
500 | _aIncludes index. | ||
505 | _aPart 1. Introduction to data visualization. Fundamentals of visualization ; Designing a visualization -- Part 2. Microsoft's toolset for visualizing data. The Microsoft toolset ; Building data sets to support visualization ; Excel and PowerPivot -- Power View -- PerformancePoint ; Reporting services ; Custom code -- Part 3. Visual analytics in practice. Scorecards and indicators ; Timelines ; Comparison visuals ; Slice and dice: ad hoc analytics ; Relationship analysis ; Embedded visualizations ; Other visualizations -- Choosing a Microsoft tool -- Dax Function reference. | ||
520 | _aGo beyond design concepts and learn to build state-of-the-art visualizations The visualization experts at Microsoft's Pragmatic Works have created a full-color, step-by-step guide to building specific types of visualizations. | ||
521 | _aCOECS | ||
650 |
_aInformation visualization. _96021 |
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650 |
_aData mining. _94384 |
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650 |
_aMicrosoft Excel (Computer file). _93539 |
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650 |
_aMicrosoft PowerPivot (Computer file). _96022 |
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650 |
_aMicrosoft Power View. _96023 |
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700 |
_aSalvatore, Joe. _96024 |
||
700 |
_aJorgensen, Adam. _96025 |
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906 |
_a0 _bibc _corignew _d2 _eepcn _f20 _gy-gencatlg |
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942 |
_2ddc _cBK |
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999 |
_c8384 _d8384 |