Our Insights blog goes deeper into hot topics and critical world issues. Looking for more? Learn about how we integrate data and expert visualization services with our intelligent tools, custom situation rooms, and enterprise data portals.
Correlation defined as linear relationship between two variables. Correlation coefficient (r) is used to measure linear association between two variables and its range varies between -1 to +1. There are two types of correlation namely positive and negative. r=+1 represents perfect positive correlation whereas r=-1 represents perfect negative correlation. Positive correlation tells both indicators are moving in same direction for e.g. If prices of crude oil and Natural gas are positively correlated and there is an increase in price of crude oil then price of Natural gas will also increase. On the other hand negative correlation between the same indicators, if there is increase in price of one will decrease the price of others.
Historical versions of this dataset since 12 January 2016 are available.
The information about original data source is available only to Professional users.
Are you sure you want to send the dataset for verification?
New data uploaded to replacement dataset
Knoema is the most comprehensive source of global decision-making data in the world. Our tools allow individuals and organizations to discover, visualize, model, and present their data and the world’s data to facilitate better decisions and better outcomes.