Data Analytics and Visualisation with Tableau
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This document summarizes a presentation about Tableau, a data visualization tool. It covers what Tableau is, its versions, features, data sources, file types, and data roles. The presentation includes an agenda and sections on what Tableau is, its pros and cons, functions for data analytics and visualization, customers, versions, components, data sources, file types, and separated data roles. It concludes with suggestions for potential follow up sessions, including working with R in Tableau, Tableau Server, comparing forecast algorithms, and working with more participants.
Data Analytics and Visualisation with Tableau
- 1. BASLE BERN BRUGG DÜSSELDORF FRANKFURT A.M. FREIBURG I.BR. GENEVA HAMBURG COPENHAGEN LAUSANNE MUNICH STUTTGART VIENNA ZURICH Data Analytics and Visualisation with Tableau Gergely Szecsenyi Wien-BI
- 2. Agenda Name Presentation2 5/14/2017 1. What is Tableau 2. Versions of Tableau 3. Features Data Sources Modules File Types Data Roles 4. Lab – Visa Applications 5. Lab – Web Data Connector 6. Whats next? 7. Thank you!
- 3. What is Tableau? Name Presentation3 5/14/2017 Tableau is a Rapid Data Analysis tool Developed by Tableau Software Inc Stanford University, 2003 3000 employee, 650Mio USD Tableau supported the Wikileaks with a Visualisation Software for Wikileaks documents
- 4. Pros and cons Name Presentation4 5/14/2017 Pros: – Easy to learn, hard to master – Modern, intuitive UI (pretty charts, good colors, fast application) – Easy to adopt to the system – Support additional data sources with Web Data Connector Cons: – Built in Analytical functions are limited – R libraries are not supported directly, only when the Rstudio is running in the background
- 5. Tableau Functions Name Presentation5 5/14/2017 Data Analytics – Built in analytical functions, analytical visualisations – Can read from analytical files (for example rdata) – Supports aggregate calculations Data Visualisation – Chart support, – Openstreetmap integration – Recognise Geographical data
- 6. Analytical functions Name Presentation6 5/14/2017 Forecast – Support 8 forecast algorithm – The „best“ is selected automatically Trend Line – Searching for correlation between dimensions – Predection – Trend line types are linear, logaritmic, exponential, logaristics
- 7. Visualisation functions Name Presentation7 5/14/2017 Manual and computed sorting Creating additional groups of data Annotations Multidimensional hierarchies Disable / enable the update of data views (better performance)
- 8. Customers of Tableau Name Presentation8 5/14/2017 Google NASA Harvard Microsoft NSA 1000‘s more
- 9. Versions of Tableu Name Presentation10 5/14/2017 Tableau Desktop Create Tableau Server Share - Web Tableau Reader Share - Local + business intelligence solution scales to organizations of all sizes + share visual analytics with anyone with a web browser + publish interactive analytics or dashboards + share visualizations & dashboards on the desktop + filter, sort, and page through the views + “Acrobat for Data” + free download + ad hoc analytics, dashboards, reports, graphs + explore, visualize, and analyze your data Tableau Public Share - Everyone + create and publish interactive visualizations and dashboards + embed in websites and blogs
- 10. Components of Tableau Name Presentation11 5/14/2017 With the following components – Connection component: supports more than 40 file formats, database servers – Data Interpreter: Analyse and clean the source data – Workbook – Worksheet – Dashboard – Story
- 11. Workbook, worksheet, story Name Presentation12 5/14/2017 Each workbook contains worksheets, dashboards and stories Worksheet is where you build views of your data by dragging and dropping Dashboard is a combination of serveral worksheets A story is a sheet that contains a sequence of worksheets or dashboards that work together to convey information.
- 12. Data Sources Name Presentation13 5/14/2017 File connectorsExcel – CSV – Statistic Files (*.rdata, etc) Database connectors – Popular databases like Oracle, MSSQL, MySQL – New technoligies like Spark, Hadoop Hive, etc. Community connectors with Web Data Connector – Runkeeper – Reddit – Elasticsearch
- 13. Tableau File Type Name Presentation14 5/14/2017 Tableau Workbook (.twb) – Second level Tableau Packaged Workbook (.twbx) – Second level Tableau Datasource (.tds) – Second level Tableau Packaged Datasource (.tdsx) – Second level Tableau Data Extract (.tde) – Second level Tableau Bookmark (.tbm) – Second level Tableau Map Source (.tms) – Second level Tableau Preferences (.tps) – Second level Others like tlr, tlf
- 14. Separated data roles Name Presentation15 5/14/2017 Data roles are selected automatically Dimensional columns – Qualitive, categorical informations Measures – Quantitive values, numeric variables
- 15. Name Presentation16 5/14/2017 Lab – Visa applications
- 16. Name Presentation17 5/14/2017 Lab – Web Data Connector
- 17. Whats next? Name Presentation18 5/14/2017 This was a T-1, Technology 1 session Next session could be a T-2 session, about: • Working with R in Tableau • Working with Tableau Server • Comparing the forecast algoriths which are used in Table • With 2-3, but very enthusiastic participants
- 18. Gergely Szecsenyi Senior BI and BigData Consultant gergely.szecsenyi@trivadis.com 5/14/2017 Name Presentation36