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Scatter Plots & Bubble Plots in Python | Matplotlib Tutorial Part 4 | Correlation with Scatter Plots
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Another way of converting your continuous variables to charts is to scatter plots. Scatter plots require two continuous variables in order to plot them and hence they are bivariate.
Scatter plots are also very common in practice when it comes to identifying if there exists a relationship between variables or not. They can also depict if two continuous variables have a positive correlation, negative correlation, or no correlation.
**ADVANTAGES:**
1. Highlights correlation
2. Often depicts minimum, maximum, and outliers in the data.
3. Shows if there is a trend in the data.
**DISADVANTAGES:**
1. Only applicable to continuous variables.
2. Sometimes the results are inconclusive.
#scatterplots #bubbleplots #matplotlib
Scatter plots are also very common in practice when it comes to identifying if there exists a relationship between variables or not. They can also depict if two continuous variables have a positive correlation, negative correlation, or no correlation.
**ADVANTAGES:**
1. Highlights correlation
2. Often depicts minimum, maximum, and outliers in the data.
3. Shows if there is a trend in the data.
**DISADVANTAGES:**
1. Only applicable to continuous variables.
2. Sometimes the results are inconclusive.
#scatterplots #bubbleplots #matplotlib
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