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data visualization is an important part of the data analysis workflow it allows us to interrogate the data understand it and also generate visually appealing graphs for others to understand any results that we derive from our analysis from these data visualizations we can understand trends within the data as well as identify any underlying patterns that may not be immediately obvious to us and within python there are many great data visualization libraries out there and you may have come across matplotlib and seaborn early in your python journey but there is also gg plot plotly and altair and many more plot light is going to be the focus of this particular video were going to see how we can create interactive plots of our well log data and also make subplots which will give us the ability to create our well-logged plots with multiple tracks or multiple columns so what is plotley plotley is a web-based toolkit that is used to generate interactive and very powerful graphs with very few