Come join a group of passionate people focused on building visualizations and managing a variety of data sets. The event, organized by Engage CHI, will include hands-on learning, collaboration, and networking.
Goals / Objectives:
- Introduce beginners to data visualization methodology
- Provide tools that will allow one to create a meaningful visualization
- Empower students to build useful data visuals upon completion of the series
- Spreadsheet program - Microsoft Excel / Apple Numbers.
- Database Program - Microsoft Access / FileMaker - usually only available in Enterprise or Professional edition of MS Office.
- Power Point - most have as part of MS Office.
- The Brain - mind mapping tool has free 30 day trial.
- Tableau (for data visualization)- Trial version is good for 30 days
- Data set(s) will be provided from various data portals of the city / county / state / federal agencies.
(1st Session) Overview - The Data Discussion
The discussion opens with a look into contextual backdrop of the world of data, both big and small.
We continue on by answering some important questions:
Are you seeking "discovery" or "confirm" mode regarding your data?
What is the source of your data and what is its integrity?
What are you trying to communicate and who is your audience?
The discussion concludes with a look at the journey from data to actionable information using data visualization as the communications vehicle.
- Dispel the myth that you can create acceptable visualizations by pouring data into Excel and running a few macros,
- Break down the "hype" that you need tera/peta bytes of data in order to gain meaningful insight
- An answer to why "big data" is so important now
- USB drive with:
- Extracts of data from City of Chicago Data Portal that will be used as examples and for exercises in the following classes
- Digital copies of presentation slides
(2nd Session) Data versus Information
Participants will perform the data identification, collection, cleaning, blending, and structuring processes that are required before visualization and in-depth analysis can occur.
- Learn one possible "road map" to preparing data for charting / visualization
- How to find quality sources, verify data, manage "structured" versus "unstructured" data, and identify "outliers" and "garbage" data
- Preliminary charting and analysis
- Understanding the "what's" of data as opposed to the "why's" of data
- USB drive:
- Updated data set extracts
- Presentation slides
- More charts and exercises
Instruction will be lead by Jean-Paul Thomas
Jean-Paul is the founder of Small Office Nets, a technology consultancy which specializes in technology solutions for the Small and Medium Businesses in the metropolitan Chicago. He has contributed technical expertise/review to a nationally available Client Server and Project Management series of courses and matching curricula. He has consulted on structured methodologies, project management, application building techniques, rapid application development (RAD and JAD), relational database technologies, networking solutions, and the Unified Modeling Language (UML). When not implementing and supporting his clients with computer / networking based solutions; you will find Jean-Paul assisting local community organizations with their efforts to improve residents’ quality of life within the city of Chicago.