Dynamics of Data Analysis and Visualization with Python
Prashant Verma, Shweta Dixit, Mukti Khetan, Suresh Badarla, Fozia Homa · Apple Academic Press eBooks · 2023
This chapter demonstrates the applications of Python in reading data, data visualization, data manipulation, data analysis, model building and prediction using an open-source data set. Python programming is widely used in Machine Learning, Natural Language Processing, Artificial Intelligence, Neural Networks, and other advanced dimensions of Information Technology and Computer Science. The data dictionary is the most significant tool to understand the data for further treatments. Data quality refers to the capability of a data set to achieve the desired objective. Effective data analysis cannot be done with low-quality data. Data visualization provides accessibility to find and understand patterns, outliers, and trends in the dataset. Logistic regression model using sklearn library will be discussed later when we need to fit the model without regression coefficients for further prediction.