~ 1.5 Minute Read.
After working on the KNIME Analytics Platform and KNIME Image Processing extensions for over five years as a student employee, I somehow passively aqcuired some data science knowledge without ever expressing real interest for it.
I am a computer graphics guy. That’s what I love doing! And if I can visit my creations thanks to virtual or augmented reality, even better.
There is a certain fascination about data that I experience, though, when I can make use of that for myself. Let it be the log file analytics I wrote for this blog post just recently—since I spare you the download of the google analytics script, but am still interested in which blog posts do better. Now I get a daily email with my top blog posts and accessed files from the last 24 hours for example, entirely without google analytics! 1
In an upcoming blog post I will describe how I used python and pandas to write this script.
I see analytics as a way to get feedback; they can tell you how to improve if used wisely. Wisely cannot be overstated in data science… you can create illusions for yourself really easily. Deciving yourself is still better than deceiving others, though.
Writing my analytics myself keeps them in my head, though. Since I know the guts of the table I get presented my subconcious mind will eventually find potential mistakes if they exist… and I know exactly what to read from them and what not.
But no, I’m a computer graphics guy and this data stuff is just a practical every now and then thing.
- This is super custom and I know what’s going on, I do realize there may be ready solutions for something like this out there.
Written in 15 minutes, edited in 10 minutes.