week4_1
Analyzing and Visualizing Data
Week 4
R, Python, and SAS
Visual Thinking
Visual Thinking
Increases the number of ideas
Improves prototyping speed
Increases understanding
And increases your ability to communicate
Hi Class, and welcome to week 4
This week we are going to look at a couple of different ways of approaching analyzing and visualizaing data
First of those is visual thinking. This can be thought of as data doodling, or drawing data.
The prototyping speed is key here – having the ability to write this out before developing the complex iconography we will see in later chapters can let you see a design without having to build it
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Visual Thinking cont.
Visual Thinking
Increases your understanding
Organizes your thoughts
Communicates a message clearly
How?
Through drawing data
Data visualization through drawing & visual thinking
Read above
Why do we do this
To help us determine our communication and messaging
it is easy to draw
Easy to understand
And no one checks your math like they might in other visualization methods
And as we discussed, fast prototyping for more formalized visualizations methods
Be sure to watch
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Construction Master Plans
Another form of data visualization
Complex and highly detailed plans can be visually represented
This can allow stakeholders to understand the impact before costly decisions are made.
Automation of visualization process for organizational and technological design solutions
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Python
Features
Easy to Code
Extensible
Portable
Free and Open Source
High-Level Language
GUI Support
Large standard Library
Python is an interpreted, high-level, general-purpose language. First released in 1991. I supports object-oriented programming as well as procedural programming.
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R
Features
Open-source
Comprehensive language
Wide array of packages
Many graphical libraries
Non-compiled
Fast calculations
Integrates with other technologies
Cross-platform compatability
R is a programming language and software environment for statistical analysis, graphical representation, and reporting.
Integrations to databases
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SAS
Features
Powerful data analysis functions
Flexible
Efficient data management
Supports encryption
Supports various data formats
SAS studio
Powerful reporting options
SAS is software that can mine, alter, manage or retrieve data from a variety of sources and perform statistical analysis on it. SAS provides a point and click GUI for non-technical users. It allows data to be read from databases and spreadsheets for various statistical analysis
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Questions?