To create the scatter plot we can call upon the following code. Each row in the data table is represented by a marker the position depends on its values in the columns set on the X and Y axes. In this method, we do not use any special function instead we directly plot the curves one above the other and try to set the scale. Scatter plots are used to plot data points on horizontal and vertical axis in the attempt to show how much one variable is affected by another. We will now look at plotting multiple scatters by superimposing them. From this data, we identify a number of different things about the medical cost. In particular, we will use the age, bmi, and charges for medical cost analysis. The following is the syntax: import matplotlib.pyplot as plt plt. In matplotlib, you can create a scatter plot using the pyplot’s scatter () function. The Python matplotlib pyplot module has a function that will draw or generate a scatter plot, and the basic syntax to draw it is (x, y) x: list of arguments that represents the X-axis. It offers a range of different plots and customizations. Now that we have our data loaded, we can create the scatter plot of our insurance data. Matplotlib is a library in python used for visualizing data. charges: Individual medical costs billed by health insurance.region: residential area in the US, northeast, southeast, southwest, northwest.import matplotlib. Let’s import them using the import statement. Basic Basic plot types, usually y versus x. Note that we have stripped all labels, but they are present by default. children: Number of children covered by health insurance / Number of dependents Step 1: Import all the necessary libraries The first step is to import matplotlib, NumPy, and other required libraries for our tutorial. Overview of many common plotting commands in Matplotlib.Each row and column represents as a single scatter plot. bmi: Body mass index, providing an understanding of the body, weights that are relatively high or low relative to height, objective index of body weight (kg / m ^ 2) using the ratio of height to weight, ideally 18.5 to 24.9 For k variables in the dataset, the scatter plot matrix contains k rows and k columns.sex: insurance contractor gender, female, male.
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