This chapter introduces us to the concepts of data which is the information collected by statisticians to conduct studies. Data is divided into 2 different categories, quantitative and qualitative, with the first one being the data you can assign a value like money or scores on tests, while the second is the data you cannot assign a value, for example: satisfaction, eye colour, or style of writing. Furthermore when we take data we need to take into account the 6 W’s which are: ● How: the data collected can make the difference between insight and nonsense. ● When: values recorded in 1803 may mean something different than similar values recorded last year ● Where: values measured in Tanzania may differ in meaning from similar measurements made in Mexico ● Who: usually, the rows of a data table correspond to individual cases in which we record some characteristics. ● What: what individuals or individuals are we measuring is necessary to take notes. ● Why: why do we take data is important for every study conducted since we need to measure specific values for every study we conduct