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Analyze the Popularity of Programming Languages

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Updated 10/2024
Analyze the relative popularity of programming languages over time based on Stack Overflow data.
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Project Description

Discover insights into the most popular programming languages and technologies using data from Stack Overflow. Analyze the number of questions by manipulating the data with dplyr and examine how language popularity changes over time.

Project Tasks

  1. 1
    Task 1

Technologies

R R

Topics

Data Manipulation

Prerequisites

Data Manipulation with dplyr
David Robinson HeadshotDavid Robinson

Principal Data Scientist at Heap

Dave is the Principal Data Scientist at Heap. He has worked as a data scientist at DataCamp and Stack Overflow, and received his PhD in Quantitative and Computational Biology from Princeton University. Follow him at @drob on Twitter or on his blog, Variance Explained.
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Sara Billen HeadshotSara Billen

Data Scientist at DataCamp

Sara is a graduate of a master's degree in Business Engineering and Marketing Analysis. Prior to working at DataCamp she worked as a Data Science consultant for a Belgian IT company. Sara is passionate about education, data science, and business and loves that she is able to combine all of these disciplines in her job at DataCamp.
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