Python Visualization Tutorial | Visualization With Python, Matplotlib And Pandas | Simplilearn
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This video on Python Visualization tutorial will help you learn how to analyze and visualize data using libraries and functions. You will create interesting plots to find patterns and hidden trends in the data. The video covers data visualization with Matplotlib, Seaborn and Bokeh library.
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What is Data Visualization?
Data visualization is a field which deals with visual representation of data. It plots data in a graphical way and is an effective way to communicating inferences from data. Matplotlib, Bokeh and Seaborn are python libraries which are used for data visualization. They have inbuilt modules for plotting different graphs. Matplotlib is used to embed graphs into applications. It is used for basic graph plotting like line charts, bar graphs etc. It mainly works with datasets and arrays. Seaborn is used mainly for statistical graphs. It is mainly used for statistics visualization and can perform complex visualizations with fewer commands.
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