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Stack Overflow Question Engagement
Data Science and Analytics
Tags and Keywords
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About
This dataset contains a collection of the most popular questions from Stack Overflow, categorised by their number of votes [1]. It provides valuable insights into trending technical topics and community engagement on the platform as of 18th July 2021 [1]. The dataset is suitable for various analytical purposes, including understanding question popularity, community interests, and the overall landscape of technical queries [1, 2]. It includes information on approximately 16,000 annotated questions [2].
Columns
The dataset features several key columns, each providing distinct information about the Stack Overflow questions [1, 2]:
- Question: The main body of the question itself [1, 2].
- Upvotes: The total number of votes received by the question [1, 2].
- Views: The total number of times the question has been viewed [1, 2].
- Answers: The number of answers provided for the question [1, 2].
- Tags: Keywords or categories associated with the question [1, 2].
Distribution
The dataset comprises 16,000 annotated questions [2]. It is typically provided in a data file format like CSV [3]. Questions are organised by their vote count, with no specific ID column [1]. The distribution of values across the key metrics is as follows:
- Upvotes: Values range from 214 up to 5,070, with the largest group of questions (10,988) having between 214 and 456.8 upvotes [2, 4].
- Views: Views range from 4,841 up to 7.51 million, with the majority of questions (9,548) falling within the 4,841 to 380,330.3 view range [4, 5].
- Answers: The number of answers per question varies from 0 to 518. A substantial portion of the dataset (13,786 questions) has between 0 and 25.9 answers [5].
- The 'tags' column contains 15,997 unique values, with 'git' and 'javascript' each accounting for approximately 1% of the tags, and 'Other' tags making up 98% [2, 5].
Usage
This dataset is well-suited for a variety of applications and use cases, including:
- Natural Language Processing (NLP): Analysing question text and tags for topic modelling, sentiment analysis, and keyword extraction [1].
- Data Science and Analytics: Exploring trends in technical questions, identifying popular topics, and understanding user engagement patterns [1].
- Recommendation Systems: Building models to suggest relevant questions or answers based on historical data.
- Content Generation: Identifying areas of interest for creating new educational materials or articles.
- Community Management: Gaining insights into the types of questions and discussions that drive engagement on technical forums.
Coverage
The dataset focuses on Stack Overflow questions and was collected on 18th July 2021 [1]. The data provider aims to update the dataset monthly to maintain its relevance [1]. It has a global regional scope, making it applicable for worldwide analysis of programming and technical queries [1]. The implied demographic scope is the community of developers, programmers, and IT professionals who use Stack Overflow.
License
CC0
Who Can Use It
This dataset is ideal for:
- Data Scientists and Machine Learning Engineers: For training models, text analysis, and predictive analytics related to online question-and-answer platforms.
- Researchers: Studying trends in software development, knowledge sharing, and online community dynamics.
- Developers: Understanding common programming problems and popular topics within the tech community.
- Content Creators and Marketers: Identifying hot topics and user needs for generating engaging technical content.
Dataset Name Suggestions
- Stack Overflow Popular Questions
- Top Voted Stack Overflow Questions
- Stack Overflow Question Engagement
- Annotated Stack Overflow Questions
Attributes
Original Data Source: Stack Overflow Highest Voted Questions
QUALITY