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Data Science Market Trend Data
Data Science and Analytics
Tags and Keywords
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About
This dataset offers a detailed look into the popularity and search trends of the "Data Science" term on Google Search Engine and YouTube. Spanning from 2004 through to April 2022, it provides historical data to understand the evolving interest in data science. The information is derived from Google Trends, a valuable resource for tracking public interest. The dataset is expected to be updated regularly.
Columns
The dataset comprises several CSV files, each providing different facets of data science search trends. While specific column names for every file are not explicitly detailed, the data fields typically include:
- Search Interest Over Time: Files that track the trend of "Data Science" searches over a specific period, generally containing columns for the
Date(or time interval) and anInterest ScoreorSearch Volume Indexrepresenting the relative popularity. - Geographic Interest: Files that break down search interest by location, usually including columns for
RegionorCountryand their correspondingInterest Score. - Related Queries: Data listing associated search terms that users also searched for when looking up "Data Science", often with columns for the
Queryitself and aValueindicating its popularity or relationship strength. - Related Topics/Entities: Information on topics or entities semantically linked to "Data Science" searches, typically containing
Topic NameorEntity Nameand aRelevance Score. - Comparative Trends: For specific comparisons, such as "Python vs JavaScript vs Java", files would contain columns for the
Compared Term(e.g., programming language) and its respectiveSearch Interestover time.
Distribution
The dataset is provided in the widely used CSV file format. The current version, Version 5, has a size of approximately 195.88 KB. It is structured as a collection of individual CSV files, each focusing on distinct aspects of the Google Trends data, such as multi-timeline trends, related queries, and geographical maps. Specific counts for rows or records within each file are not available in the provided information.
Usage
This dataset is highly beneficial for various analytical and research purposes, including:
- Market Analysis: To gauge the growth and interest in the data science sector for business development and strategic planning.
- Academic Research: For studying long-term shifts in technological interest and educational trends within data science.
- Content Development: To identify popular and emerging related queries and topics, informing the creation of relevant articles, courses, or digital content.
- Predictive Modelling: To forecast future interest and demand in data science based on historical patterns.
- Geographic Insight: To pinpoint areas with significant interest or potential for growth in data science.
Coverage
The data encompasses a period from 2004 to April 2022, offering a substantial historical perspective on the search behaviour around "Data Science". Its scope is global, reflecting search trends across both Google Search Engine and YouTube worldwide. There are no specific details provided regarding data availability for particular demographic groups, though an update extending the time range is anticipated.
License
CC0: Public Domain
Who Can Use It
This dataset is particularly suitable for:
- Data Scientists and Analysts: For trend examination, building predictive models, and understanding domain-specific interest.
- Market Researchers: To assess public interest and discover potential opportunities within the data science field.
- Academics and Educators: For use in teaching, research on technology adoption, and developing curricula.
- Content Creators and Digital Marketers: To optimise content and refine advertising strategies by identifying high-interest topics and queries.
- Business Strategists: To guide investment choices and identify areas of growth related to data science.
Dataset Name Suggestions
- Google Trends: Data Science Search Trends (2004-2022)
- Global Data Science Search Popularity
- Historical Data Science Interest Insights
- Data Science Market Trend Data
Attributes
Original Data Source: Data Science Market Trend Data
QUALITY