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1. |
Record Nr. |
UNISALENTO991000804679707536 |
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Autore |
Andréka, H. |
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Titolo |
Cylindric set algebras / by L. Henkin ... [et al.] |
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Pubbl/distr/stampa |
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Berlin : Springer-Verlag, 1981 |
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ISBN |
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Descrizione fisica |
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v, 323 p. : ill. ; 25 cm. |
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Collana |
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Lecture notes in mathematics, 0075-8434 ; 883 |
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Classificazione |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Cylindric algebras |
Set-theoretic model theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Contents: Cylindric set algebras and related structures / by L. Henkin, J. D. Monk, and A. Tarski. On cylindric-relativized set algebras / by H. Andréka and I. Németi. |
Includes bibliographies and indexes |
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2. |
Record Nr. |
UNINA9911019454603321 |
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Autore |
Stacey Mark |
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Titolo |
Visual intelligence : microsoft tools and techniques for visualizing data / / Mark Stacey, Joe Salvatore, Adam Jorgensen |
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Pubbl/distr/stampa |
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Indianapolis, Ind., : John Wiley & Sons, 2013 |
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ISBN |
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9781118987179 |
1118987179 |
9781118417522 |
1118417526 |
9781299465015 |
1299465013 |
9781118439364 |
1118439368 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (xxix, 400 p.) |
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Altri autori (Persone) |
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SalvatoreJoseph |
JorgensenAdam |
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Disciplina |
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Soggetti |
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Microsoft Windows (Computer file) |
Business intelligence - Computer programs |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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pt. I. Introduction to data visualization -- pt. II. Microsoft's toolset for visualizing data -- pt. III. Visual analytics in practice. |
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Sommario/riassunto |
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Go 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. The book thoroughly covers the Microsoft toolset for data analysis and visualization, including Excel, and explores best practices for choosing a data visualization design, selecting tools from the Microsoft stack, and building a dynamic data visualization from start to finish. You'll examine different types of visualizations, their strengths and weaknesses, a |
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