Two components. One is Python3 code authored by you, and the other is a written document in which you need to write a report (1000 words) based on the findings from your code.
For the first component, use Jupyter Notebooks and Python3/Pandas to explore and analyse a dataset. For the second component, explain the broader context of the data and analyse and discuss your findings.
• Half of the marks for this assignment are for the code that you have written and the analysis you have chosen to do using this code. Code should be clearly documented, explained and commented.
• Half of the marks are for the report and your findings.
You get to set your own research agenda and create your own questions for investigation. （research question: explore the effectiveness of interventions done by the companies on mental illness issue among technology workers）【research question已经想好了，如绿色荧光笔所标】The brief is that you should use Python to query the dataset and generate your own findings, and then write a report that details the context of your findings, what you have found, and the significance (if any) of these findings. The reports are in the usual essay style. Supporting literature sources are expected and should be correctly cited （Harvard referencing style）.
For example: if I was writing a report on Titanic passenger data, I might explore the data based on certain demographics to find what factors increased the chance of survival. I could then write a report that sets the historical context (e.g. academic sources about the Titanic and its passengers), that sets out my hypotheses, and then presents my findings and discusses the implications, including reference to, and comparisons with, other people’s research.
Dataset
The OSMI Mental Health in Tech Survey 2018 (https://www.kaggle.com/osmihelp/osmi-mental-health-in-tech-survey-2018)
关于The OSMI Mental Health in Tech Survey 2018 的介绍：
One of the most ambitious projects that OSMI undertakes is our large-scale survey on prevalence and attitudes towards mental health among tech workers. We are excited to announce the launch of the 2019 Mental Health in Tech survey! The survey aims to measure attitudes towards mental health in the tech workplace and examine the frequency of mental health disorders among tech workers. The audience for the survey is everyone at a technical organization, whether they have a mental health disorder or not – this helps us get a better idea of the scale and scope of the effects. At OSMI, we will be using this data to help drive our work in raising awareness and improving conditions for those with mental health disorders in the IT workplace. We hope others will be able to use this data to further improve mental health education, awareness, and accommodations. （https://osmihelp.org/about/blog）
范文：（可以按照下面这篇文章这样写，分析的是同一个dataset）https://www.researchgate.net/publication/328529319_Perceived_Workplace_Factors_and_their_Influence_on_Self-Reported_Mental_Health_Service_Seeking_Among_Technology_Workers
也可以参考一个这一篇文章的分析，也许可以提供一些思路😊
https://kanishka.xyz/2018/osmi-mental-health-in-tech-survey-data/
老师提供的数据可视化网站（希望用到）
https://rawgraphs.io
结构：
• An introduction to your topic and research question(s) – what are you studying and why? What relevance does this topic have to culture and society? Briefly discuss the literature related to the topic (short, around 150 words) 可以提到996 ICU，是比较新的也很相关的话题，可以用于引出研究课题，作为研究的motivation
• Methodology: which method or set of methods have you chosen to employ to address your research questions? Where do these methods come from (e.g. which literature can be cited)? Why have you chosen these methods and to address these research questions in particular? How did you conduct your research? You may wish to demonstrate some of your methods using images such as screen captures etc. (medium in length, around 300words).
• Findings: what did your research activities reveal, and what have you learned as a result? This section may be rich in additional figures and may reference supplementary data (medium in length, around 250 words).
• Conclusion and evaluation: how do your findings relate to your research questions? Can you answer your research questions based on your results? Were your methods effective, and how could they be improved? Suggest areas for future work (medium in length, around 250 words).