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Its flexibility allows you to produce high-quality graphs and charts, making it perfect for exploratoryDataAnalysis. Use cases for Matplotlib include creating line plots, histograms, scatter plots, and bar charts to represent data insights visually. It offers simple and efficient tools for data mining and DataAnalysis.
Dealing with large datasets: With the exponential growth of data in various industries, the ability to handle and extract insights from large datasets has become crucial. Data science equips you with the tools and techniques to manage big data, perform exploratorydataanalysis, and extract meaningful information from complex datasets.
I would perform exploratorydataanalysis to understand the distribution of customer transactions and identify potential segments. Then, I would use clustering techniques such as k-means or hierarchical clustering to group customers based on similarities in their purchasing behaviour. What approach would you take?
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