DataPrep_EDA

Let us now start with the first step of the project which is to gather the data and clean it for further analysis and modeling. 

Data gathering and cleaning is often the most time-consuming and challenging task.  Once we have the right data in the required format, the next steps in the pipeline of the project can be effectively achieved in a timely manner. Data gathering and cleaning is a crucial step in any data science project. It is important to make sure that the data is in the required format and is free of any inconsistencies or errors before proceeding with further analysis. The data should also be relevant and sufficient for answering the questions at hand. Efficient data cleaning techniques can help save time and improve the accuracy of the final results.