A scatterplot is a type of data visualization that is useful for several purposes, primarily to understand the relationship between two variables. I believe a scatterplot can be helpful for the project because it can be used :
- Identify Patterns and Relationships: Scatterplots allow you to quickly visualize and identify patterns or relationships between two variables. For example, you can see if there’s a clear trend, correlation, or any outliers in your data.
- Assess Correlation: If the points in a scatterplot tend to form a line or follow a specific pattern, it indicates a correlation between the two variables. Scatterplots are particularly useful for assessing the strength and direction of this correlation, whether it’s positive (as one variable increases, the other also increases) or negative (as one variable increases, the other decreases).
- Outlier Detection: Outliers, which are data points that significantly differ from the majority of the data, are easily visible in a scatterplot. Detecting outliers is important for data cleaning and anomaly detection.