Once you get familiar with the basic language and syntax within a few hours you will already be able to run some quick checks on your existing datasets that can provide some insights very quickly without much work.
In the example to the left I have imported a dataset for voluntary turnover within 1 year of hire for analysis. After I have imported the data, a simple command:
summary(dataset_name)…will do the work of a high level analysis for you instantly and picks certain measurement columns and dimensions to assess statistical profile splitting the data into logical groups such as (prepared from my data sample):
Quartile distribution for numeric columns so for example this would tell me at what salary ranges I might have high voluntary turnover. Counts by dominant factors or dimension/attributes (“work location” for example would be a factor in R) so I can quickly see if voluntary turnover is highly concentrated in factors such as location, employee type, job type or family, age ranges, gender, etc.