This document is a primer towards creating an environment in which you can create and deploy your Data Science projects.
Category: Data Science
Recently I finally finished one of my major projects (my thesis). So now I have some spare time for doing smaller projects after work. Like this one:
The past hours I’ve been ramming my head into the same problem over and over. I had to deal with multiple strings of hexadecimal values coming from multiple sources. So far so easy, just use the iconv package… no, does not work at all for specific strings.
So I’ve been away very often and when I was home I’ve been pretty busy with work for the last few weeks. In the last few days I finally had some rest, especially after the last week in Czech Republic, where I did part of my data exploration for a recent Data Science project on Fraud Detection in SMS (project is still work in progress). But let’s get back to the topic and talk about R and Leaflet and mapping Open Data.
While most tinkerers, makers, data scientists and other visionaries already see the potential for a connected world and their benefits of understanding it to gain better insights, many enterprises are still cautious about investing money and people to gain an advantage. Why are they not open to our ideas?