week4_1

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?