Python Data Visualization and Analysis Begginer Tutorial
In this Python Data Visualization tutorial, learn all there is to know about data visualizations in Matplotlib, Seaborn and Bokeh. Learn data visualizations hands on by following along with the Python Data Visualization Projects Examples. Become a pro at data visualization with this one stop video which covers everything you need to analyse data and find patterns visually.
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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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Benefits of Python Programming Language:
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👉 Variables and Strings
👉 Different types of Operators
👉 Data types
👉 String functions
👉 Common Python projects
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