dataset and visualize it on tableau then make a report

i will attach a sample

This requires selecting an appropriate application, (i.e., being able to explain or predict a phenomenon), preparing the data, analyzing the data through visualization, creating a model using ML, and reporting your results.You are required to use an analytics software such as Tableau and ML tools such as WEKA (https://www.cs.waikato.ac.nz/ml/weka/downloading.html) . After reporting the results you will a write summary and conclusion of your findings. That is,

1. Demonstrate the application of CRISP approach: understanding the problem, understanding the data, etc.

2. Analyzing the data through visualization using EXCEL and/or Tableau

3. Build a Model using Machine Learning Software

3. Summary of your findings.

4. Conclusion.

Post answers to the following questions about your term project:

1. What is or are the business problem and questions that will be addressed through analytics?

2. What are the major variables in the dataset ? What types of variables are they? What are the sources of the data?

3. What types of analytics are you planning to use? Why?