It is interesting how much time a lot of designers spend on creating an engaging visualization.
At the end of the day, isn’t data just data?
As long as we are presenting it in a meaningful way, should we really spend so much time prettying up our dashboards?
This is where I find that data consumers (which is pretty much everyone) who see an dashboard that has been designed for its purpose, spend a lot more time consuming the information
The first dashboard was created within 5-10 minutes with the Tableau Superstore dataset. It provides some very useful info
But, the second ones begs a lot of questions and you are intrigued to spend a lot more time with it.
So, with this particular series, I will put up images of some dashboards that have caught my eye that or the ones I have created. So, hopefully, you can get some inspiration
enjoy the eye-candy
After invention of writing (4000 B.C.), then movable type (in tenth century), mass printing in the eighteenth century and now the information age.
Isn’t it cool that we are part of one of the biggest transformation of our interactions with each other?
I love data, I do.
And if you give me some data, I am going to try to utilize it somehow.
Recently, I was driven to act upon our energy consumption habits when I started to see our family utilities bill climb up every single month. I will be honest, I didn’t care until our bill was less than 100$ month, but climbing up every month couldn’t be right. PGE couldn’t be raising my rates every day, could they?
So I did some fact finding and figures that it was all my fault (and my family’s)
So, now did I reduce my bill? Here are a simple few steps that might help you too (hopefully they do)
Continue reading How GreenButton helped me save 35% on my utilities bill
At an interview recently, I was asked “What is the difference between data and information?”.
Funny tihng is that I was reading an article on the same topic the day before and that had made me think how do I differentiate data and information.
My response to my interviewer was “To me, data becomes Information once you put some context to it“. My interviewer said “I like that” but then he also mentioned that he has heard another flavor that says “Data is RAW and Information is Processed“. I felt that maybe he didn’t like my response as much and he likes the other flavor better.
so, that makes me think this again. Is Data truly Raw and becomes information only once it has been processed?
I agree that can process the data to get information out of it, but isn’t sometimes data just enough to be utilized as Information?
also, isn’t putting context to data, in a way, processing the data?
Well, I do stand by what I said because it is after all an opinion not a theorem.