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1. |
Record Nr. |
UNISALENTO991001413169707536 |
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Autore |
Fenn, Roger |
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Titolo |
Techniques of geometric topology / Roger A. Fenn |
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Pubbl/distr/stampa |
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Cambridge [Cambridgeshire] : Cambridge University Press, 1983 |
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ISBN |
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Descrizione fisica |
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viii, 280 p. : ill. ; 23 cm |
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Collana |
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London Mathematical Society lecture note series, 0076-0552 ; 57 |
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Classificazione |
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Disciplina |
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Soggetti |
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Algebraic topology |
Low-dimensional topology |
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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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Bibliography: p. 271-275. |
Includes indexes |
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2. |
Record Nr. |
UNINA9910141046803321 |
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Autore |
Da Roit Barbara |
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Titolo |
Strategies of care [[electronic resource] ] : changing elderly care in Italy and the Netherlands / / Barbara Da Roit |
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Pubbl/distr/stampa |
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Amsterdam, : Amsterdam University Press, 2010 |
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ISBN |
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1-282-98529-9 |
9786612985294 |
90-485-1227-1 |
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Descrizione fisica |
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1 online resource (218 p.) |
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Collana |
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Disciplina |
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Soggetti |
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Geriatrics - Italy |
Geriatrics - Netherlands |
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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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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1. Changing care systems : an introduction -- 2. The context and policy trajectories -- 3. The challenge of dependence -- 4. Changing care packages -- 5. Care packages in practice -- 6. The creation of care packages and the transformations of care systems -- 7. Conclusions. |
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Sommario/riassunto |
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This analytic study surveys the transformations of elderly care policies and practices since the early 1990's, by comparing the trajectories of two extremely different care systems: Italy and the Netherlands. |
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3. |
Record Nr. |
UNINA9910137177903321 |
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Autore |
Linoff Gordon S. |
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Titolo |
Data analysis using SQL and Excel / / Gordon S. Linoff |
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Pubbl/distr/stampa |
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Indianapolis, Indiana : , : Wiley, , 2016 |
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©2016 |
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ISBN |
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1-119-02144-8 |
1-119-18341-3 |
1-119-02145-6 |
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Edizione |
[Second edition.] |
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Descrizione fisica |
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1 online resource (795 p.) |
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Collana |
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Disciplina |
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Soggetti |
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SQL (Computer program language) |
Querying (Computer science) |
Data mining |
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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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Data Analysis Using SQL and Excel®; About the Author; Credits; Acknowledgments; Contents at a Glance; Contents; Foreword; Introduction; Chapter 1 A Data Miner Looks at SQL; Databases, SQL, and Big Data; What Is Big Data?; Relational Databases; Hadoop and Hive; NoSQL and Other Types of Databases; SQL; Picturing the Structure of the Data; What Is a Data Model?; What Is a Table?; Allowing NULL Values; Column Types; What Is an Entity-Relationship Diagram?; The Zip Code Tables; Subscription Dataset; Purchases Dataset; Tips on Naming Things; Picturing Data Analysis Using Dataflows |
What Is a Dataflow? READ: Reading a Database Table; OUTPUT: Outputting a Table (or Chart); SELECT: Selecting Various Columns in the Table; FILTER: Filtering Rows Based on a Condition; APPEND: Appending New Calculated Columns; UNION: Combining Multiple Datasets into One; AGGREGATE: Aggregating Values; LOOKUP: Looking Up Values in One Table in Another; CROSS JOIN: Generating the Cartesian Product of Two Tables; JOIN: Combining Two Tables Using a Key Column; SORT: Ordering the Results of a Dataset; Dataflows, SQL, and Relational Algebra; SQL Queries; What to Do, Not How to Do It |
The SELECT Statement A Basic SQL Query; A Basic Summary SQL Query; |
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What It Means to Join Tables; Cross-Joins: The Most General Joins; Lookup: A Useful Join; Equijoins; Nonequijoins; Outer Joins; Other Important Capabilities in SQL; UNION ALL; CASE; IN; Window Functions; Subqueries and Common Table Expressions Are Our Friends; Subqueries for Naming Variables; Subqueries for Handling Summaries; Subqueries and IN; Rewriting the "IN" as a JOIN; Correlated Subqueries; NOT IN Operator; EXISTS and NOT EXISTS Operators; Subqueries for UNION ALL; Lessons Learned |
Chapter 2 What's in a Table? Getting Started with Data Exploration What Is Data Exploration?; Excel for Charting; A Basic Chart: Column Charts; Inserting the Data; Creating the Column Chart; Formatting the Column Chart; Bar Charts in Cells; Character-Based Bar Charts; Conditional Formatting-Based Bar Charts; Useful Variations on the Column Chart; A New Query; Side-by-Side Columns; Stacked Columns; Stacked and Normalized Columns; Number of Orders and Revenue; Other Types of Charts; Line Charts; Area Charts; X-Y Charts (Scatter Plots); Sparklines; What Values Are in the Columns?; Histograms |
Histograms of Counts Cumulative Histograms of Counts; Histograms (Frequencies) for Numeric Values; Ranges Based on the Number of Digits, Using Numeric Techniques; Ranges Based on the Number of Digits, Using String Techniques; More Refined Ranges: First Digit Plus Number of Digits; Breaking Numeric Values into Equal-Sized Groups; More Values to Explore-Min, Max, and Mode; Minimum and Maximum Values; The Most Common Value (Mode); Calculating Mode Using Basic SQL; Calculating Mode Using Window Functions; Exploring String Values; Histogram of Length; Strings Starting or Ending with Spaces |
Handling Upper- and Lowercase |
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