Python Data Analysis Bootcamp class 03 - 03 - Pandas Scatterplot
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The scatterplot in pandas is a simple and intuitive data visualization technique. With the 's' parameter, you can control the size of each data point, allowing you to emphasize specific aspects of the data. However, it's important to note that scatterplots may become ineffective when dealing with large datasets due to potential overplotting, where data points overlap and obscure patterns.
Scatterplots are best employed when you want to quickly and visually assess the relationship between two features or variables. They provide a straightforward way to identify trends, clusters, or outliers in the data and are particularly useful for gaining initial insights into how two variables may be correlated or associated.
Arguements of interest:
marker: This argument lets you choose the marker style for the data points, such as circles, squares, triangles, or custom marker styles.
alpha: The alpha argument controls the transparency of the data points. A value between 0 (completely transparent) and 1 (completely opaque) can be specified to adjust the point transparency.
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