(Solved): can someone help me to solve fhis!? Data Exploratory Analysis and Analytic Base Table The objective ...

Data Exploratory Analysis and Analytic Base Table The objective of this assigmment is to provide a report exploring feature design techiniques to create informative and prectictive features within an Analytic Base Table $(ABT)$. Instructions Dataset: You will find a raw dataset related to a specific domain (e.g., customer data, financial transactions, e-commerce data). For instance, you can work with a customer churn dataset where the variable "Chum" (whether a customer churned or not) is the target feature. Make sure you submit the data set as well. Explain different features in the data set in an Introduction section. Identify the target variable or outcome variable you want to predict. Justify your choice based on the problem statement. Data Exploratory Analysis (DEA) Inspect the raw dataset to understand its structure, including the number of rows and columns. Identify columns with missing values and handle them with imputation or removal. Then, explore and transform existing features by creating visualizations or summary statistics for numerical and categorical variables. Feel free to include any method in DEA appropriate for your data set. Create new features Develop new features that could be potentially useful for the ABT and predictive modeling. Explain the rationale behind each new feature, and if there is any legislation or principal avoiding using them. Provide descriptions of the new features, their purposes, and any insights gained. Also, you may consider interactions between features if relevant to the problem. Build the ABT Combine all cleaned and preprocessed data, including the newly engineered features, to create the ABT. Ensure that the target variable is included. Submir your assignment report in a PDF document including the CSV file containing the data analysis and the ABT that you created.