FILWD is all about the joy and fun of getting interesting information out of data; better yet when it is large, complex, and dirty (we don’t like easy jobs here). It’s a way to celebrate the fun and beauty of living in this era of abundant data, of having all this information at our hands and being able to make it useful in funny and unexpected ways through pixels and bits.

Why do you write this blog?
I write this blog to: (1) Bridge the chasm between Practitioners and Researchers, (2) Offer guidance in place of hype.

How is FINLWD different from other existing blogs?
FINLWD is not about reporting daily news on cool visualizations on the web or somewhere else. If you are interested in these, you’d better go to the best sources you can find on the whole web: infosthetics and flowingdata.

What are your favorite data blogs?
infosthetics and flowingdata for their daily dose of imagery but I have learned a lot from eagereyes and excelcharts. I love the way they strive to go beyond the consumption of colored pixels. Thank you Robert and Jorge!

What can I find here that is useful for me?
You can find the following kind of posts:

  1. reflections on the state of data analysis and its community
  2. guides on how to do useful things,
  3. my personal experiments on data visualization and analysis (or of some friend of mine)

Who are you to tell me how to deal with my data?
I have been dealing with data visualization and analysis since 2002, and in 2006 I earned my PhD in computer engineering with a thesis on information visualization. Since then, I have been working on a variety of problems and settings and today I am part of the data analysis and visualization group at the Univ. of Konstanz. I am dealing with data every day. Plus, I am well connected with the research community.

Why are you so enthusiastic about data?
Because data has the potential to create a better world. Data is everywhere and lots of useful stuff can be extracted out of it if we have the right tools in our hands. You might want to read the following books to understand where my enthusiasm comes from: SupercrunchersThe NumeratiBeautiful Data.

I like it, what can I do to help you?
Send me your feedback and suggestions. This is not a one man journey, I need your help. Is there anything you like or don’t like here? Do you have any suggestions? Is there anything special you would like to see discussed here? Or maybe you have a specific data analysis problem you are struggling with? I’d love to hear it. You can:

  • follow me on twitter
  • send me an email (see address and contact form on the menu on the right)