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DataCampeR
The data was scraped from DataCamp website with the motivation to explore the most popular courses and how committed are the participants to complete the tracks that were offered by DataCamp. The focus will be on Data Analyst/Scientist for R and Python tracks.
Cleveland dot plot - time spent in unpaid work
Time spent in unpaid work includes: routine housework; shopping; care for household members; child care; adult care; care for non-household members; volunteering; travel related to household activities; other unpaid activities
Beware the self-selection bias!
In statistics, self-selection bias arises in any situation in which individuals select themselves into a group, causing a biased sample. Drawing insights from a biased sample is probably worse than having no clue about what you are dealing with. On top of that small samples are dangerous in a way that they can give an impression that the data is skewed in a way which in reality is not true.
Questions that inquire about more than one topic, yet allow only one answer, are known as double-barreled questions. All the answers will be lumped in one variable thus being very difficult to analyse and find out who meant what when answering.
It's not a bad idea to be mindful about the analysis once you know your shortcomings and very careful when generalising your findings.