![]() ![]() Scatter charts feature displaying values for typically two values for a set of data, thus illustrating the degree of correlation between two variables. Looking at the line graph below, you may feel puzzled because it's painstaking to draw lines of data from many women from the charts one by one and then draw a conclusion. However, two women's data is far from enough. However, it's almost impossible to put two variables in one line chart.įor example, if you want to explore the correlation between women's weight and height using line charts, you need to draw at least two lines - regering to two women's height and weight information. On the y-axis, numerical values are recorded with points obviously. ![]() On the x-axis, category data are distributed with even intervals. In the line chart, you can record the continuous periodic data conveniently. Here I present the correlation between weight and height using line graph and scatter chart respectively. Look at the pictures below, you may find that the line graphand the scatter chart look similar. This article offers a guide on how to choose between line graphs and scatter charts. ![]() How and when to use line graph has always confused many people. As prevalent data presenting tools, line graphs and scatter charts have similar appearance but totally different using occasions and data distribution on horizontal and vertical axes. ![]()
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