I am currently learning more about R programming and sql. It seems R is more comprehensive than sql but I need to learn both. This R community has helped me a lot already when I ask questions, so I have some more directed towards anyone who uses R or sql.
Do you use R more than sql? Do employers care what cleaning program you use?
Where is the best sql community to join? I love this community because everyone's so helpful and I'd love to find a community like this for sql issues. Any recommendations?
Thank you everyone, and happy early Halloween! Treat below:
Time was that SQL ruled tabular data creation, queries and modification for datasets of all sizes, and it’s still the king of the massive real-line transaction hill.
Most of what is really valuable in SQL is database design and administration, which is a career path all its own, separate from data science.
The basic language for queries is well worth learning, especially since it can be done from within R.
I just realized you could do queries in R, that's so cool. I forgot what package you had to load, but it's definitely worth looking into. I know a little about sql, but so far prefer R over it. But know that sql is preferred in the applications I look at. But was curious how companies actually were and if you could use either or.
To practice, install MariaDB or MySQL and leave the server daemon running. In R install DBI and either RMariaDB or RMySQL. A script looks something like
library(DBI)
library(RMySQL)
drv <- dbDriver("MySQL")
con <- dbConnect(drv, username="root", password="", dbname ="dlf", host="localhost")
res <- dbGetQuery(con, "SELECT fico FROM y6")
where res ends up as a data frame.
My experience is that if an employer is asking for SQL, you should expect to be using it. R is more often a nice-to-have. Cynically, most job posting for data scientists are really seeking someone who can produce feel-good eye candy.
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