Data analysis using SQL and Excel / / Gordon S. Linoff

• Autore: Linoff Gordon S.
• 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
• Serie: THEi Wiley ebooks.