Chapter 2: Data import and visualization
Abstract
This chapter starts by illustrating how to import and export various types of files such as excel, CSV, SQL, HTML, etc., into Jupyter Notebook. Afterward, an array of popular data visualization libraries (along with their advantages and disadvantages) such as matplotlib, seaborn, and plotly are discussed. Different oil and gas visualization examples such as time series plotting of natural gas pricing and production data, well log plotting of a geologic log (with various curves), and frac completions data set are illustrated in a step-by-step methodology. Within the seaborn and plotly sections, various visualization concepts and plots (along with explanations for each) such as distribution plots, ...
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