anthropology, psychology, political science)|175000.0|1 - 2 times per week|Male|White or of European descent|Bachelor’s degree (BA, BS, B.Eng., etc.)|Less than 30 minutes|45 - 54 years old|Between 1 and 2 years ago|JavaScript Pythonģ5167|United Kingdom|Extremely satisfied|A humanities discipline (ex. American high school, German Realschule or Gymnasium, etc.)|1 - 2 hours|25 - 34 years old|Between 2 and 4 years ago|C# JavaScript Python TypeScript HTML Bash/ShellĤ4125|United States|Moderately dissatisfied|A social science (ex. anthropology, psychology, political science)|807756.0|3 - 4 times per week|Male|White or of European descent|Secondary school (e.g. American high school, German Realschule or Gymnasium, etc.)|1 - 2 hours|35 - 44 years old|More than 4 years ago|C# CoffeeScript JavaScript Ruby HTML CSS Bash/Shellĥ1710|Germany|Slightly dissatisfied|A social science (ex. accounting, finance, marketing)|45600.0|1 - 2 times per week|Male|Hispanic or Latino/Latina|Secondary school (e.g. Respondent|Country|JobSatisfaction|UndergradMajor|ConvertedSalary|Exercise|Gender|RaceEthnicity|EducationParents|HoursOutside|Age|LastNewJob|LanguageWorkedWithĥ1900|United Kingdom|Moderately satisfied|Computer science, computer engineering, or software engineering|94455.0|3 - 4 times per week|Male|White or of European descent|Master’s degree (MA, MS, M.Eng., MBA, etc.)|3 - 4 hours|35 - 44 years old|Between 1 and 2 years ago|C C# Java JavaScript Objective-C PHP Swift HTML CSSĩ5836|Argentina|Slightly satisfied|A business discipline (ex. The columns we have included in this data set are: At the end of this lab I’ll provide you with another sample file that contains ALL 129 columns and a sample of 1000 responses so you can explore more deeply if you wish. In addition we have narrowed down the questions from 129 to just 13. We will work with a sample of 2000 of those responses for this lab. Now that you are experienced with working with files lets look at a bit of the data set. The survey has a wealth of information and we will just barely scratch the surface. You may find this survey very interesting to study for yourself, just to get a sense for what programmers in the wild do with their time, what they studied how much they make etc. ![]() In this project we’ll apply this pattern from the ground up to answer some questions from the Stack Overflow 2018 programmer survey. In the world of data science there is a common programming pattern called split-apply-combine that helps you answer some very high-powered questions. What’s your favorite language? What part of your job do you like the best? What was your major in college? How much do you make? ![]() Each year the people at Stack Overflow ask the developer community about all kinds of things related to their jobs.
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