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No, not "population". I'm not a good source, but I'm pretty sure it shows 'How Data Relates to other Data.' Is that ok?-S. FS.
Scatter plot graphs are used in mathematics. They are used to show types of relationships or correlations that are between two sets of data.
To look for relationships between the data being studied.
combination chart
A scatter plot.
Graphs are a convenient way to display relationships between variables.
You cannot. A circle graph cannot be used to illustrate relationships between two variables.
No, not "population". I'm not a good source, but I'm pretty sure it shows 'How Data Relates to other Data.' Is that ok?-S. FS.
Data warehouse is the database on which we apply data mining.
I believe you are asking how to identify a positive or negative correlation between two variables, for which you have data. I'll call these variables x and y. Of course, you can always calculate the correlation coefficient, but you can see the correlation from a graph. An x-y graph that shows a positive trend (slope positive) indicates a positive correlation. An x-y graph that shows a negative trend (slope negative) indicates a negative correlation.
A scatter plot.A scatter plot.A scatter plot.A scatter plot.
Correlation * * * * * That is simply not true. Consider the coordinates of a circle. There is obviously a very strong relationship between the x coordinate and the y coordinate. But the correlation is not just small, but 0. The correlation between two variables is a measure of the linear relationship between them. But there can be non-linear relationships which will not necessarily be reflected by any correlation.
Scatter plot graphs are used in mathematics. They are used to show types of relationships or correlations that are between two sets of data.
Correlation
Statistical analysis can reveal trends such as seasonality, upward or downward trends over time, correlation between variables, and outliers in the data. It can also uncover patterns or relationships that may not be immediately obvious from simply looking at the data.
Some people will give the answer "correlation". But that is not correct for the following reason: Consider the coordinates of a circle. There is obviously a very strong relationship between the x coordinate and the y coordinate. The correlation between the two is not just small, but 0. The correlation between two variables is a measure of the linear relationship between them. But there can be non-linear relationships which will not necessarily be reflected by any correlation.
it is something like 'district' and 'people'