Some function that allows you to calculate the elastic modulus and ultimate strength of any sample upon request

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Your boss has asked you to analyze the flexural strength of alloys your company is making at various temperatures. It is expected that you will need to work with over 100 data files. You will receive load vs. displacement data at 800C, 1200C, and 1500C for some alloy. The strength of the alloys was measured using the three-point-bend testing method with an 80mm support span. Relevant measurements for each of these samples is included in a separate file. You will he responsible for the following: cleaning the raw data, calculating stress (in MPa) and strain for each sample, creating beautiful plots that are easy to read, organizing the data in an accessible format, and being able to produce relevant calculations for any of the samples upon request. How you approach this problem is up to you; however, there are some specific deliverables we ask of you: 

1. Produce one plot per alloy. Each plots should contain flexural strength data for that alloy at 800C, 1200C, and 1500C. The plot should be beautiful and easy to read. 

2. Create a master file containing stress and strain information for all samples tested. Data within this file should be appropriately labeled such that anyone could read and use it without having to understand your python code. 

3. Use python to organize the raw data, calculated data, and plots in a coherent way. This should involve the creation of separate folders for each type of data. 

4. Some function that allows you to calculate the elastic modulus and ultimate strength of any sample upon request 

5. Generate three plots that provide a holistic representation of all the collected data. These must show three unique aspects of the data. 

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