![]() ![]() ![]() However, in a scatter plot, both variables are typically independent of each other. In a line chart, one of the variables is continuous and the other’s value is dependent on it. However, they have fundamental differences. Both are used to understand the relation between two variables. A line chart is simply connecting all the dots with a straight line. One might think why we need both a scatter plot and a line chart. To observe the relationship between two variables.We will be learning to plot this in the coming sections. For example, user b has 65 friends and they spend 170 minutes on-site each day. All the small alphabet labels indicate the name of the user we are looking at. The x-axis indicates the number of friends the user has. The y-axis indicates the amount of time in minutes a user spent on the site. Below, we show a simple scatter plot that demonstrates the relationship between the number of friends a user has on his social media account and the amount of time they spent on the site. Normally, the variable that’s marked along the x-axis is a continuous and independent variable. Hence, a scatter plot helps us grasp the relationship between these variables. The position of points in the scatter plot is determined by the values of these variable. In a scatter plot, two variables one along the x-axis and the other along the y-axis are marked. ![]() The below image depicts a 2D cartesian coordinate system.Ī scatter plot takes advantage of the 2D cartesian system. Hence, any point in the cartesian coordinate system can be represented by values in the x and y-axis. Both x and y-axis are divided into equal intervals which are readily marked. A 2D cartesian plane contains an origin point that has coordinates (0,0). We are only concerned about the 2D cartesian plane which is used to create scatter plots (yes, 3D scatter plots also exist). The cartesian coordinate system can be either a plane (2D) or space (3D). Although one might already have desirable knowledge, we’re reviewing them for the sake of completeness. Cartesian coordinate systemīefore learning scatter plots, it is important to first understand the cartesian coordinate system. We’ll be briefly discussing theory and practical use of scatter plots whilst learning to plot them using python. The module we are using for this is called matplotlib which is a popular third-party module for data visualization. Today, we will be discussing how to draw a scatter plot using python. A histogram is one of the 7 basic tools of quality control. In an earlier post, we discussed how to plot a histogram using python. ![]()
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