Vai al contenuto principale della pagina
Autore: | Linoff Gordon S. |
Titolo: | Data analysis using SQL and Excel / / Gordon S. Linoff |
Pubblicazione: | Indianapolis, Indiana : , : Wiley, , 2016 |
©2016 | |
Edizione: | Second edition. |
Descrizione fisica: | 1 online resource (795 p.) |
Disciplina: | 005.756 |
Soggetto topico: | SQL (Computer program language) |
Querying (Computer science) | |
Data mining | |
Note generali: | Includes index. |
Nota di contenuto: | 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; 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 | |
Titolo autorizzato: | Data analysis using SQL and Excel |
ISBN: | 1-119-02144-8 |
1-119-18341-3 | |
1-119-02145-6 | |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910808119903321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |