Pro Tableau [electronic resource] : A Step-by-Step Guide / by Seema Acharya, Subhashini Chellappan.

За: Інтелектуальна відповідальність: Вид матеріалу: Текст Публікація: Berkeley, CA : Apress : Imprint: Apress, 2017Видання: 1st ed. 2017Опис: XXIII, 845 p. 1063 illus., 1032 illus. in color. online resourceТип вмісту:
  • text
Тип засобу:
  • computer
Тип носія:
  • online resource
ISBN:
  • 9781484223529
Тематика(и): Додаткові фізичні формати: Printed edition:: Немає назви; Printed edition:: Немає назви; Printed edition:: Немає назвиДесяткова класифікація Дьюї:
  • 005.7 23
Класифікація Бібліотеки Конгресу:
  • QA76.9.B45
Електронне місцезнаходження та доступ:
Вміст:
Chapter 1: Introducing Visualization and Tableau -- Chapter 2: Working with Single and Multiple Data Sources -- Chapter 3: Simplifying and sorting your data -- Chapter 4: Measure Values and Measure Names -- Chapter 5: Using Quick Table Calculations in Tableau -- Chapter 6: Customizing your data -- Chapter 7: Statistics -- Chapter 8: Chart Forms -- Chapter 9: Advance Visualization Methods -- Chapter 10:Dashboard and Stories -- Chapter 11:Integration of R with Tableau.
У: Springer eBooksЗведення: Leverage the power of visualization in business intelligence and data science to make quicker and better decisions. Use statistics and data mining to make compelling and interactive dashboards. This book will help those familiar with Tableau software chart their journey to being a visualization expert. Pro Tableau demonstrates the power of visual analytics and teaches you how to: • Connect to various data sources such as spreadsheets, text files, relational databases (Microsoft SQL Server, MySQL, etc.), non-relational databases (NoSQL such as MongoDB, Cassandra), R data files, etc. • Write your own custom SQL, etc. • Perform statistical analysis in Tableau using R • Use a multitude of charts (pie, bar, stacked bar, line, scatter plots, dual axis, histograms, heat maps, tree maps, highlight tables, box and whisker, etc.) What you’ll learn: • How to connect to various data sources such as relational databases (Microsoft SQL Server, MySQL), non-relational databases (NoSQL such as MongoDB, Cassandra), write your own custom SQL, join and blend data sources, etc. • How to leverage table calculations (moving average, year over year growth, LOD (Level of Detail), etc. • How to integrate Tableau with R • How to tell a compelling story with data by creating highly interactive dashboards.
Тип одиниці: ЕКнига Списки з цим бібзаписом: Springer Ebooks (till 2020 - Open Access)+(2017 Network Access)) | Springer Ebooks (2017 Network Access))
Мітки з цієї бібліотеки: Немає міток з цієї бібліотеки для цієї назви. Ввійдіть, щоб додавати мітки.
Оцінки зірочками
    Середня оцінка: 0.0 (0 голос.)
Немає реальних примірників для цього запису

Chapter 1: Introducing Visualization and Tableau -- Chapter 2: Working with Single and Multiple Data Sources -- Chapter 3: Simplifying and sorting your data -- Chapter 4: Measure Values and Measure Names -- Chapter 5: Using Quick Table Calculations in Tableau -- Chapter 6: Customizing your data -- Chapter 7: Statistics -- Chapter 8: Chart Forms -- Chapter 9: Advance Visualization Methods -- Chapter 10:Dashboard and Stories -- Chapter 11:Integration of R with Tableau.

Leverage the power of visualization in business intelligence and data science to make quicker and better decisions. Use statistics and data mining to make compelling and interactive dashboards. This book will help those familiar with Tableau software chart their journey to being a visualization expert. Pro Tableau demonstrates the power of visual analytics and teaches you how to: • Connect to various data sources such as spreadsheets, text files, relational databases (Microsoft SQL Server, MySQL, etc.), non-relational databases (NoSQL such as MongoDB, Cassandra), R data files, etc. • Write your own custom SQL, etc. • Perform statistical analysis in Tableau using R • Use a multitude of charts (pie, bar, stacked bar, line, scatter plots, dual axis, histograms, heat maps, tree maps, highlight tables, box and whisker, etc.) What you’ll learn: • How to connect to various data sources such as relational databases (Microsoft SQL Server, MySQL), non-relational databases (NoSQL such as MongoDB, Cassandra), write your own custom SQL, join and blend data sources, etc. • How to leverage table calculations (moving average, year over year growth, LOD (Level of Detail), etc. • How to integrate Tableau with R • How to tell a compelling story with data by creating highly interactive dashboards.

Available to subscribing member institutions only. Доступно лише організаціям членам підписки.

Online access from local network of NaUOA.

Online access with authorization at https://link.springer.com/

Онлайн-доступ з локальної мережі НаУОА.

Онлайн доступ з авторизацією на https://link.springer.com/

Немає коментарів для цієї одиниці.

для можливості публікувати коментарі.