An example is the data on sales of toothbrushes and toothpaste which are both...

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For example, suppose you are collecting sales data at a store. Then, you find that as sales of toothbrushes increase, sales of toothpaste also increase. Well, the collection of data on sales of toothbrushes and toothpaste can be classified into the correlation dataset, because the two are interconnected. Oh yes, the correlations generated from this dataset can also be divided into three types, namely: No correlation – The data collected has nothing to do with it. Positive correlation – The data collected has the same effect.

Negative correlation – The data collected has the opposite effect. For example, suppose sales of juice decrease if sales of milk increase. 3. Categorical Dataset Categorical dataset is a type of dataset that is usually used to divide Phone Number List a set of data into two different categories. The easiest example is gender (male or female). Or data that is an answer to a question that can be responded to by agreeing or disagreeing. 4. Bivariate Datasets Bivariate means two variables.



So, this type of dataset describes the relationship between two variables only. For example, suppose you want to determine bonuses for each member of the sales team. So, the bonus given will be calculated based on the following two variables: Number of products sold The amount of profit earned per month Well, because the two data are interconnected, the data set is included in the bivariate dataset category. 5. Multivariate Datasets If a bivariate dataset contains only two variables, a multivariate dataset contains more than two variables.