Update README.md

[dianah-muhabi]

1. It is time to write a method that should be invoked (called) through another statement
2. Using a dataset from payments for example,
   Analyze of the different products such as Mobile Customer To Business (C2B), Mobile Business to Customer (B2C) or Mobile Business to Business (B2B) against their price, number of customers over a certain period of time, number of customers over a certain period of time, the regions/ locations where these products are used and the type of businesses using these products.
   Using software such as Excel, Tableau, or Visio, among others, these datasets can be visualized using graphs, tables, histograms or charts.
   From these visualizations, I can draw conclusions on trends, profit or loss, my type and number of customers and businesses and even have predictions of the performance of the business in the future.
3. This example uses the data collected in a country about its working population. The data can be used to visualize important relationships between employee’s position, number of years at a company, an employee’s salary, the area of specialization and the age of the employee.
   Given that we need to study relationship between the number of years the employee has stayed at a company and the employee’s salary, we would use the K-means clustering because this is a good example of unlabeled numerical data and the data will be classified into 2 clusters since k=2.
4. Average = (∑_(i=0)^101▒〖5050) / 101〗 = 50
   Therefore 1/5*50= 10