Share a real world example of a situation in which a data scientist would analyze data what type of data with the data scientist analyze think of the ways a data scientist could use scatterplot to identify cluster and out liars and what they could mean explain why you chose that career path for the day scientist summarize what you found out about clusters and outliers in the courier choice in 1 to 3 sentences
A real-world example could be a data scientist analyzing customer data for a retail company to identify purchasing patterns and target market segments. The data scientist would analyze data such as customer demographics, purchase history, and website behavior.
Using scatterplots, the data scientist could identify clusters of customers who exhibit similar purchasing habits and identify outliers who deviate from these trends. Clusters could represent distinct customer segments with unique preferences, while outliers could indicate potential opportunities for personalized marketing strategies.
I chose the career path of a data scientist because I have a passion for uncovering valuable insights from data and using them to drive decision-making and strategy. Through analyzing clusters and outliers in customer data, I found that there are distinct segments of customers with different preferences and behaviors, allowing for targeted marketing efforts to maximize customer engagement and sales.