Data is extracted in order to find some sort of pattern in the data set. There are different levels of analysis we ca
Association rule mining: this is when the program tries to see if there is a relation between two or more variables from data. It helps find the probability of relations between variables in large sets of data by making associations from the relations found.
Correlation analysis: this is used to see how strong the relationship between two variables is. It can either be a positive or negative correlation. Positive correlation is when x goes up y goes up but negative correlation is when x goes up and y goes down (on a graph).
regression analysis: this allows you to study the relationship between two or more variables. In this type of analysis one or more variables is dependent on one variable. Points are plotted on a graph and a regressive line is drawn (or line of best fit) and this can help predict the future as we see which direction the line is heading.
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