diff --git a/correlation_plot.py b/correlation_plot.py new file mode 100644 index 0000000..567c4da --- /dev/null +++ b/correlation_plot.py @@ -0,0 +1,30 @@ +import pandas as pd +import matplotlib.pyplot as plt + +data = pd.read_csv("istherecorrelation.csv", sep=";", decimal=",") + +print(data) +year = data.iloc[:,0] +students = data.iloc[:,1] +beer = data.iloc[:,2] + +fig, axs = plt.subplots(1,3,figsize=(18,8)) +axs[0].plot(year, beer, 'ro') +axs[0].set_xlabel("Year", fontsize=14) +axs[0].set_ylabel("Beer consumption [x1000 hectoliter]", fontsize=14) +axs[0].set_title("Beer consumption of students", fontsize=14) + +axs[1].plot(year, beer/students, 'go') +axs[1].set_xlabel("Year", fontsize=14) +axs[1].set_ylabel("Beer consumption per student [hectoliter]", fontsize=14) +axs[1].set_title("Average beer consumption of a student", fontsize=14) + +fig.suptitle("Dutch WO student beer consumption increasing or not?", fontsize=16) + +axs[2].plot(students, beer, 'yo') +axs[2].set_xlabel("Number of students [x1000]", fontsize=14) +axs[2].set_ylabel("Beer consumption [x1000 hectoliters]", fontsize=14) +axs[2].set_title("Beer consumption vs students", fontsize=14) +plt.tight_layout() +plt.savefig("correlationquestion.png") +plt.show() \ No newline at end of file diff --git a/correlationquestion.png b/correlationquestion.png new file mode 100644 index 0000000..c6053aa Binary files /dev/null and b/correlationquestion.png differ diff --git a/solution_.md b/solution_.md new file mode 100644 index 0000000..0f71b90 --- /dev/null +++ b/solution_.md @@ -0,0 +1,17 @@ +# CS Assignment +Floor Clarisse - 11035757 +## The following paper titles are pivotal to our knowledge +- Fantastic yeasts and where to find them: the hidden diversity of dimorphic fungal pathogens. [1] +- An analysis of the forces required to drag sheep over various surfaces. [2] +- The neurocognitive effects of alcohol on adolescents and college students. [3] + +## Is there correlation? +After loading the istherecorrelation.csv file into pyhton using pandas, the following figure was created. The left plot shows total beer consumption of WO students over the years, which shows an increase. However the middle plot shows average beer consumption per WO student, which shows a decrease. This is because there is an increase in WO students as well. The left plot shows the beer consumption plotted against the number of students in the corresponding year, suggesting beer consumption is dependent variable of number of students. Statistical tests will have to indicate whether there really is a correlation between (average) beer consumption and number of WO students. +![correlationimage](correlationquestion.png "The left plot shows total beer consumption of WO students over the years, which shows an increase. However the middle plot shows average beer consumption per WO student, which shows a decrease. The right plot shows the beer consumption as a dependent variable of number of students") +## References + + +1. Van Dyke, M. C. C., Teixeira, M. M., & Barker, B. M. (2019). Fantastic yeasts and where to find them: the hidden diversity of dimorphic fungal pathogens. _Current opinion in microbiology_, 52, 55-63. +2. Harvey, J. T., Culvenor, J., Payne, W., Cowley, S., Lawrance, M., Stuart, D., & Williams, R. (2002). An analysis of the forces required to drag sheep over various surfaces. _Applied ergonomics_, 33(6), 523-531. +3. Zeigler, D. W., Wang, C. C., Yoast, R. A., Dickinson, B. D., McCaffree, M. A., Robinowitz, C. B., & Sterling, M. L. (2005). The neurocognitive effects of alcohol on adolescents and college students. _Preventive medicine_, 40(1), 23-32. +