If you’ve ever watched a basketball game, you may have noticed that even though the game is going well, the ball travels on a constant path. You can’t change that without changing both the angle and the speed of the ball.
The most common way to explain this is to say that the ball is like a wave of electricity that travels along the ground. As the ball travels along the ground, this wave of electricity creates a constant, even flow of electricity in the air. The more electricity moves through the air, the more the ball will travel in a straight line through the air. This is why in a basketball game you can change the angle and speed of the ball.
A graph shows the relationship between two variables. To explain, the relationship that we see between two variables is the difference between them. If one variable is changing in a linear way and the other is not, then we would say that the linear increase in the variable is the same for both. But since the change in the variable is different for both, we would say that the change in the variable is not proportional to the increase in the other variable.
In order to understand a graph, we need to know how much a variable changes for each change in another variable. This is a proportional relationship. So if we change the speed of the ball, the angle of the ball, or the number of times we change the ball, we are changing the variable that we are graphing. We call this change in the variable “proportional.” This is the way that we graph, and it shows the proportional relationship between the variables.
This was one of the major reasons I came to Google. My first real job was designing charts and graphs. I was given the task of designing a chart to help us understand the proportional relationship between the variables. I was told this was the most important thing I could do (and actually, it was. It was so important that I almost quit and got a real job instead). I then had to create a graph to show our findings. The graph I created showed a proportional relationship between the variables.
The graph I created was actually a lot of work. Because I had to combine a lot of different measurements (like the amount of time the game takes to play), I had to make sure I had it all right. I had to make sure the graph was readable and how the colors were ordered was right. I had to make sure that the line didn’t go through the actual values.
I made sure the line did not run through the values. This was really hard, because I had to make sure that the line was clearly visible between the values and the values were actually the same.
Also, this was part of the reason why I couldn’t make any sense of the graph. The lines, when graphed together are just too close to touch. So I had to make sure I had everything right.
This, of course, is just one of the many problems that can arise when working with data.
It’s not the end of the world, but it’s always nice to at least have it be a little more clear if you’re working with numbers. In the future, we’ll have a better explanation of the whole graph method, but until then you might want to make sure that your data line is not just too close to the other line and you can see all the little bumps on it.