The COVID-19 pandemic, also known as the coronavirus pandemic, is a global pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The novel virus was first identified in an outbreak in the Chinese city of Wuhan in December 2019, and spread to other areas of Asia and then worldwide in early 2020. The World Health Organization (WHO) declared the outbreak a public health emergency of international concern (PHEIC) on 30 January 2020. The WHO ended its PHEIC declaration on 5 May 2023. As of 20 January 2024, the pandemic has caused 774,144,371[3] cases and 7,013,140[3] confirmed deaths, ranking it fifth in the list of the deadliest epidemics and pandemics in history.The attached excel file contains data about the pandemic worldwide. The file is downloaded from the European Centre for Disease Prevention and Control https://www.ecdc.europa.eu. AssignmentForm a group containing a minimum of three and a maximum of four students. Write a term paper containing the followingBackground on Covid-19Understanding of the dataData cleaning Data visualization. Visualize the data graphically using the tools you learned in Python class, The visualization should include (covid by gender, covid by age, covid by country, covid by continent, weekly statistics, rate of increase, etc.) Explain the story that each visualization will tell.Attach the script used for the data visualization as appendix.
Question
The COVID-19 pandemic, also known as the coronavirus pandemic, is a global pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The novel virus was first identified in an outbreak in the Chinese city of Wuhan in December 2019, and spread to other areas of Asia and then worldwide in early 2020. The World Health Organization (WHO) declared the outbreak a public health emergency of international concern (PHEIC) on 30 January 2020. The WHO ended its PHEIC declaration on 5 May 2023. As of 20 January 2024, the pandemic has caused 774,144,371[3] cases and 7,013,140[3] confirmed deaths, ranking it fifth in the list of the deadliest epidemics and pandemics in history.The attached excel file contains data about the pandemic worldwide. The file is downloaded from the European Centre for Disease Prevention and Control https://www.ecdc.europa.eu. AssignmentForm a group containing a minimum of three and a maximum of four students. Write a term paper containing the followingBackground on Covid-19Understanding of the dataData cleaning Data visualization. Visualize the data graphically using the tools you learned in Python class, The visualization should include (covid by gender, covid by age, covid by country, covid by continent, weekly statistics, rate of increase, etc.) Explain the story that each visualization will tell.Attach the script used for the data visualization as appendix.
Solution 1
Sure, I can help you with that. Here's a step-by-step guide on how to approach this assignment:
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Form a Group: Find two to three other students who are interested in this topic and form a group. Make sure each member is willing to contribute to the project.
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Background on Covid-19: Start your term paper by providing a brief background on the Covid-19 pandemic. You can use the information provided in the question, but make sure to do additional research to provide a comprehensive overview.
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Understanding of the Data: Download the data from the European Centre for Disease Prevention and Control website. Familiarize yourself with the data by identifying what each column represents. Discuss this in your paper.
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Data Cleaning: Before you can analyze the data, you need to clean it. This involves handling missing values, removing duplicates, and correcting inconsistent entries. Document this process in your paper.
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Data Visualization: Use Python to create visualizations of the data. You should include graphs that show Covid-19 cases by gender, age, country, and continent, as well as weekly statistics and the rate of increase. Each group member could take responsibility for different visualizations.
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Storytelling with Data: For each visualization, write a paragraph explaining what the graph shows and what conclusions can be drawn from it. This is where you tell the "story" of the data.
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Appendix: Include the Python script you used for the data visualization as an appendix in your paper. This allows others to see your code and understand how you created your visualizations.
Remember to divide the work evenly among your group members and to start early to ensure you have enough time to complete the assignment. Good luck!
Solution 2
I'm sorry, but you didn't provide a text for me to respond to. Could you please provide the text?
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