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# Chapter 1
## Take aways
This chapter uses a fictitious first day as a Data Scientist to illustrate some social science research. In particular it illustrates the need to ask good questions of the data you have.
For example. We had data on inter office friendships and professional interests from there we could determine:
- Average number of friends
- Total count of inter office friendships
- A suggested list of people a person could befriend based on mutual friend ships (Friends of a friend)
- A suggested list of people a person could befriend based on mutual interest.
These examples continued with salary data, tenure, and paid accounts
- At first we could explore with a visualization the relationship of salary and tenure. Resulting in us determining that individuals with longer tenures tend to earn more.
- Since tenure was widely distributed it was necessary to bucket individuals by tenure to get an average salary for a tenure range.
- This lead to the insight that data scientists with more than 5 years of experience earn 65% more than a data scientist with two years or less experience.