- Name: Tableau Desktop 8.3.3
- Total Size: 171.0 MB
- Created on: Tue Mar 10 12:51:23 2015
- Tracker: http://18.104.22.168:2710/announce
Name: Tableau Desktop Version: 8.3.3 Mac Platform: Intel Includes: Pre-K'ed OS version: 10.10.2 Processor type(s) & speed: na RAM minimum: na Video RAM: na See text file for installation instructions. Tested on 10.10.2 and 10.8.5. http://www.tableau.com/products/desktop Tableau Desktop Pro is a business intelligence tool that allows you to easily visualise, analyse and share large amounts of data. Visual analysis in a click - Powerful analytical tools—at your fingertips. Filter data dynamically, split trends across different categories or run an in-depth cohort analysis. Double-click geographic fields to put data on a map. All without writing a single line of code. Deep statistics - Go deeper into your data with new calculations on existing data. Make one-click forecasts, build box plots and see statistical summaries of your data. Run trend analyses, regressions, correlations, and much more. PhD not required. Metadata management - Make better sense of your available data—quickly and easily. Rename fields and modify number formats. Combine fields into groups. Create subsets of your data by simply selecting groups of points. Use those sets to filter other views. Build new hierarchies. Now it’s easy for you to make your data understandable to everyone. Best practices built in - You get the benefit of years of research on the best ways to represent data, built right into your workflow. Optimized color schemes, automatic chart types and elegant design. Communicate insight in the most effective way, automatically. Data engine - When you want to take data offline or bring it in-memory, Tableau’s Data Engine lets you extract data for ad hoc analysis of massive data in seconds. It combines advances in database and computer graphics technology to make even huge datasets possible to analyze on a laptop or mobile device. VizQL technology - VizQL is a patented technology based on years of research at Stanford University. It translates mouse clicks into database queries and displays the response graphically. Data visualization becomes the process for discovering insights and sharing them with others.