To Plot or Not to Plot An Exercise on Understanding and Comparing Datasets
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I am a PhD scholar in Physics, and I have a case study to discuss which involves comparing two distinct datasets and analyzing the differences between them. The two datasets are of different sizes, with an average sample size of 50 and 300 for each dataset. I have created a Python code to handle both the datasets, and it is attached below. I will explain the code in the next section. Now let me explain the dataset comparison exercise. First, let’s understand what it entails. We compare the two datasets by calculating metrics
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To Plot or Not to Plot: An Exercise on Understanding and Comparing Datasets One of the most important data analysis tasks is to plot data, which allows us to explore and analyze the relationships between variables in a dataset. In this task, we will examine the accuracy of different plotting methods and evaluate the best approach to plotting a dataset. Step 1: Identify your plotting objective The first step in this exercise is to identify your plotting objective. In this case, we will explore the relationship between the average and median of a
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