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Data visualization is the graphical representation of data and information. It is the process of creating visual displays of data and information, often in the form of charts, graphs, maps, and other visual formats. Data visualization in Python can be done using a variety of libraries such as Matplotlib, Seaborn, Plotly, and Bokeh. These libraries provide a wide range of visualization tools and options to create visual displays that can help data wranglers gain insights into their data. The purpose of data visualization is to help people better understand complex data and information by presenting it in a way that is easy to understand and interpret.
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6 students
22 lessons
Language: English
4 quizzes
Assessments: Yes
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Skill level Beginner
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