If you were to give recommendations to your "little brother/sister" on things that they need to do to become a data scientist, what would those things be?
I think the "Data Science Venn Diagram" (http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram) is a great place to start. You need three things to be a good data scientist:
| library(ggplot2) | |
| library(scales) | |
| # load data: | |
| log <- data.frame(Date = c("2013/05/25","2013/05/28","2013/05/31","2013/06/01","2013/06/02","2013/06/05","2013/06/07"), | |
| Quantity = c(9,1,15,4,5,17,18)) | |
| log | |
| str(log) | |
| # convert date variable from factor to date format: |
| toInstall <- c("ggplot2") | |
| if(doInstall){install.packages(toInstall, repos = "http://cran.r-project.org")} | |
| lapply(toInstall, library, character.only = TRUE) | |
| library(ggplot2) | |
| text.plots <- data.frame( | |
| SUPP = c (rep(c( "Control", "Vitamin C", "Orange Juice" ), each = 1500)) , | |
| DOSE = rep(rep(c( "I", "II", "III" ), each=500), 3), | |
| LENGTH = c(rnorm(500, 4, 2), | |
| rnorm(500, 7, 1.2), |
