Explain the most common data mining methods that can be used in business with real world examples.
Part 2 –40%of 75%You are an intern at Nutritionist centre ‘Smile clinic’, who has been tasked to analyse customersdata to see whether they eat rice in their daily mail forhealthy diet point of view. The clininc has acopy of Microsoft Excel and has just downloaded a free copy of the open source SPSS data mining software. The company has used Microsoft Excel before but not SPSS. You need to produce a report giving an evaluation how many customers of the Smile Clinic do eat rice. How many customers are Male andFemale? Also, what is Mean, Median of the ages in the data. Further what is the Mean & Median of participants do eat rice. Show findings on Pie, Par or Histogram as well. The dataset is provided in xls and csv format: smile_clinic.xls, smile_clinic.csv2.1 Using the nutrition.csv provided in conjunction with SPSS give a specific example of clustering. Show your workings with screenshots and explain you results.2.2 Explain the most common data mining methods that can be used in business with real world examples. 2.3 You will need to discuss the advantages/disadvantages of SPSS over Excel. This should be a mix of theoretical argument as well as practical argument using the csv and text files for the dataset.