Pro Tableau

A Step-By-Step Guide
Besorgungstitel - wird vorgemerkt | Lieferzeit: Besorgungstitel - Lieferbar innerhalb von 10 Werktagen I
ISBN-13:
9781484223512
Veröffentl:
2016
Erscheinungsdatum:
24.12.2016
Seiten:
845
Autor:
Seema Acharya
Gewicht:
1605 g
Format:
254x178x46 mm
Sprache:
Englisch
Beschreibung:

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 RUse 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 yoüll learnConnect 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.Leverage table calculations (moving average, year over year growth, LOD (Level of Detail), etc.Integrate Tableau with RTell a compelling story with data by creating highly interactive dashboards
Showcases the connectivity of tableau to different Big Data sources such as Hadoop and various NoSQL databases as well as to multi-dimensional data structures such as SSAS cube, PowerPivot etc
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.

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