Tag: Data Science
Plumber: Getting R ready for production environments?
R Project and Production Running R Project in production is a controversially discussed topic, as is everything concerning R vs Python. Lately there have been some additions to the R Project, that made me look into this again. Researching R and its usage in production environments I came across several packages / project, that can […]
Visualization: Enhancing the Palo Suite with NVD3.js
After my previous post How to visualize data? I was unsatisfied with the visualization provided by the Palo Suite provided by Jedox. This could have several reasons, not the least, that I may not have been able to get the max out of it. But the quality of the resulting diagramms and it’s interactivity were […]
How to visualize data?
Data visualization is something like an art. How to make results from your research in data easy to understand by management, business users or just everyone out there? A list of data, like an Excel sheet ist not what catches the eye. The art in visualization is shown perfectly on the site of Martin Wattenberg. […]
Data Science and Machine Learning
Machine Learning is acknowlegded as a part of Data Science, but will it be able to replace a Data Scientist? There have been several articles around that topic in the last few years and months. It’s true there has been some major progress in the field of machine learning and there are already articles about […]
Data Science: What is it?
Data Science is an interdisciplinary field of sciences. It includes: Data Engineering Math Statistics Advanced Computing Visualization Domain Expertise It revolves around, as the name suggests, working with data. With the development in creating big sets of data in our society, the need for analyzing this data grows across all industries. And this calls for […]