familyopk.blogg.se - Rstudio conference 2021

What we saw was particularly interesting.

Trend (0 = Fast Decline, 5 = Stable, 10 = Fast Growth)įurther discussion on the assessment is included in the Appendix at the end of the article.

Ease of Learning (1 = Difficult, 10 = Easy).

Business Capability (1 = Low, 10 = High).

We can use these attributes to compare how each tool stacks up against the others! We did a qualitative assessment using several criteria: Each tool has its pros and cons, many of which are important in the business context. There are a number of tools available for business analysis/intelligence (with DS4B being a subset of this area). Reason 1: R Has The Best Overall Qualities For Business

If you’d like to tackle learning R efficiently, we have another article that covers the 80/20 Rule for Learning R. This article focuses on the first part, explaining why R is the right choice in six points. Making effective use of your time involves two pieces: (1) selecting the right tool for the job, and (2) efficiently learning how to use the tool to return business value. The last thing you want to do is waste time with the wrong tool. Data science for business (DS4B) is the future of business analytics, yet it is really difficult to figure out where to start.