1.

Record Nr.

UNINA9910171455803321

Autore

European symposium on medieval logic and semantics : <5. : ; 1980

Titolo

English logic in Italy in the 14th and 15th centuries : acts of the 5th European symposium on medieval logic and semantics : Rome, 10-14 November 1980 / edited by Alfonso Maierù

Pubbl/distr/stampa

Napoli, : Bibliopolis, 1982

ISBN

88-7088-057-5

Descrizione fisica

388 p. ; 22 cm

Collana

History of logic ; 1

Disciplina

160

Locazione

FLFBC

Collocazione

P.1  L 514

DFT A40 MAIA 01

Lingua di pubblicazione

Molteplice

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNINA9910710593403321

Autore

Kovacs William D

Titolo

Comparison of energy measurements in the standard penetration test using the cathead and rope method : phases I and II : final report / / W. D. Kovacs; L. A. Salmone; F. Y. Yokel

Pubbl/distr/stampa

Gaithersburg, MD : , : U.S. Dept. of Commerce, National Institute of Standards and Technology, , 1983

Descrizione fisica

1 online resource

Collana

NBSIR ; ; 83-2760

Altri autori (Persone)

KovacsWilliam D

SalmoneL. A

YokelFelix Y

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

1983.

Contributed record: Metadata reviewed, not verified. Some fields updated by batch processes.

Title from PDF title page.

Nota di bibliografia

Includes bibliographical references.



3.

Record Nr.

UNINA9910632473603321

Autore

Aspin Adam

Titolo

Pro DAX and Data Modeling in Power BI : Creating the Perfect Semantic Layer to Drive Your Dashboard Analytics / / by Adam Aspin

Pubbl/distr/stampa

Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023

ISBN

9781484289952

1484289951

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (475 pages)

Disciplina

791.436553

Soggetti

Dashboards (Management information systems)

Business intelligence - Computer programs

Information visualization - Computer programs

Visual analytics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

1. Using Power BI Desktop to Create a Data Model -- 2. Extending The Data Model -- 3. The Semantic Layer -- 4. Calculated Columns -- 5. Calculating Across Tables -- 6. DAX Logical Functions -- 7. Date and Time Calculations in Columns -- 8. Introduction to Measures -- 9. Filtering Measures -- 10. CALCULATE() Modifiers -- 11. The Filter() Function -- 12. Iterators -- 13. Creating and Applying a Date Dimension -- 14. Time Intelligence -- 15. DAX Variables -- 16. Table Functions -- 17. Extending the Data Model -- 18. Evaluation Context -- Appendix A: Sample Data.

Sommario/riassunto

Develop powerful data models that bind data from disparate sources into a coherent whole. Then extend your data models using DAX–the query language that underpins Power BI–to create reusable measures to deliver finely-crafted custom calculations in your dashboards. This book starts off teaching you how to define and enhance the core structures of your data model to make it a true semantic layer that transforms complex data into familiar business terms. You’ll learn how to create calculated columns to solve basic analytical challenges. Then you’ll move up to mastering DAX measures to finely slice and dice your data. The book also shows how to handle temporal analysis in Power BI



using a Date dimension. You will see how DAX Time Intelligence functions can simplify your analysis of data over time. Finally, the book shows how to extend DAX to filter and calculate datasets and develop DAX table functions and variables to handle complex queries. What You Will Learn Create clear and efficient data models that support in-depth analytics Define core attributes such as data types and standardized formatting consistently throughout a data model Define cross-filtering settings to enhance the data model Make use of DAX to create calculated columns and custom tables Extend your data model with custom calculations and reusable measures using DAX Perform time-based analysis using a Date dimension and Time Intelligence functions.