# data visualization > creation and study of the visual representation of data **Wikidata**: [Q6504956](https://www.wikidata.org/wiki/Q6504956) **Wikipedia**: [English](https://en.wikipedia.org/wiki/Data_visualization) **Source**: https://4ort.xyz/entity/data-visualization ## Summary Data visualization is the creation and study of visual representations of data, serving as a key technique within the broader field of visualization. It is a specialized branch of data science and is closely related to scientific visualization, computational design, and bioinformatics. The practice involves techniques such as charts, tables, and infographics to communicate information effectively. ## Key Facts - Data visualization is a subset of the broader field of visualization, which includes techniques for creating images, diagrams, or animations. - It is a specialized branch of data science, focusing on extracting insights from structured data. - Data visualization is closely related to scientific visualization, an interdisciplinary field concerned with presenting scientific data visually. - The practice includes specific techniques such as mosaic plots, Chernoff faces, and stemplots, each serving distinct purposes in data representation. - Companies like MicroStrategy and Tableau Software, Inc. are notable for their contributions to data visualization technology. - Hans Rosling, a Swedish medical doctor and statistician, is known for his work in data visualization and public communication of statistical information. ## FAQs **What is the relationship between data visualization and data science?** Data visualization is a specialized branch of data science, focusing on the visual representation of data to extract insights. It is distinct from general data science but serves as a key tool within the field. **Which organizations are associated with data visualization?** Organizations like MicroStrategy and Tableau Software, Inc. are notable for their development of data visualization software and tools. These companies play a significant role in advancing the field. **What are some notable techniques in data visualization?** Notable techniques include mosaic plots, Chernoff faces, and stemplots, each designed to represent data in specific ways. These methods are part of the broader set of visualization tools used in data analysis. **Who are some key figures in the field of data visualization?** Hans Rosling, a Swedish medical doctor and statistician, is a key figure known for his work in data visualization and public communication of statistical information. ## Why It Matters Data visualization plays a crucial role in making complex data accessible and understandable. It serves as a bridge between raw data and actionable insights, enabling better decision-making across various fields. By transforming numerical information into visual formats, it simplifies the interpretation of trends, patterns, and relationships, making it an essential tool in data science, scientific research, and business intelligence. The ability to visualize data enhances communication, supports data-driven strategies, and drives innovation in technology and research. ## Notable For - Being a specialized branch of data science focused on visual representation. - Including techniques like mosaic plots and Chernoff faces for specific data visualization needs. - Being associated with companies like MicroStrategy and Tableau Software, Inc., which have advanced the field of data visualization technology. - Having key figures such as Hans Rosling, who have contributed significantly to the public understanding of data through visualization. ## Body ### Classification and Relationships Data visualization is a specialized branch of data science, focusing on the visual representation of data to extract insights. It is closely related to scientific visualization, an interdisciplinary field concerned with presenting scientific data visually. Additionally, it is part of the broader field of visualization, which includes techniques for creating images, diagrams, or animations to communicate a message. Data visualization also intersects with bioinformatics through biological data visualization, which focuses on visualizing biological data. ### Techniques and Tools Data visualization includes specific techniques such as mosaic plots, Chernoff faces, and stemplots, each designed to represent data in distinct ways. These methods are part of the broader set of visualization tools used in data analysis. Companies like MicroStrategy and Tableau Software, Inc. are notable for their development of data visualization software and tools, playing a significant role in advancing the field. ### Key Figures Hans Rosling, a Swedish medical doctor and statistician, is a key figure known for his work in data visualization and public communication of statistical information. His contributions have had a significant impact on the field, making complex data more accessible to the public. ### Impact and Applications Data visualization plays a crucial role in making complex data accessible and understandable. It serves as a bridge between raw data and actionable insights, enabling better decision-making across various fields. By transforming numerical information into visual formats, it simplifies the interpretation of trends, patterns, and relationships, making it an essential tool in data science, scientific research, and business intelligence. The ability to visualize data enhances communication, supports data-driven strategies, and drives innovation in technology and research. ## References 1. [Source](https://sinxloud.com/kb/data-visualization-definition/) 2. BBC Things 3. UMLS 2023 4. Quora 5. National Library of Israel 6. [Twitter Topics / Twitter](https://twitter.com/i/topics/1357402587947913217) 7. [data-visualization · GitHub Topics · GitHub](https://github.com/topics/data-visualization) 8. [OpenAlex](https://docs.openalex.org/download-snapshot/snapshot-data-format)