The data analysis is documented in Exploratory_Data_Analysis_in_Python.ipynb. The lecture notes and the raw data files are also stored in the repository. The summary of the content is shown below: ...

In addition, this course covers the techniques and approaches in exploratory data analysis, helping one derive maximum value from the data. The prerequisites include understanding Python and the ...

Exploratory data analysis (EDA), which is a preliminary method used for ... In the example below, we would perform EDA using Python on the open-source web application, Jupyter Notebook. The first step ...

Aggregation functions such as mean, sum, and count can be applied to grouped data to derive statistical summaries, which are crucial in exploratory data analysis. Matplotlib is the premier plotting ...

Exploratory data analysis is closely associated with John ... This is easy to implement with standard Python libraries. Which imputation strategy is best? It depends on your data and your model ...

Following is what you need for this book: If you are a data analyst interested in the practical application of exploratory data analysis in Python, then this book is for you. This book will also ...