Python代写 | CS 2704 – Final Project

本次Python代写是分析现有的数据并调查covid-19的死亡率与人均GDP的相关性

CS 2704 – Final Project
1 Schedule
• Scheule
– June 24 (Wed): Proposal
– June 29 (Mon): Final presentation
– July 6 (Mon): Final report
2 Requirements
• Minimum requirement (70%)
– Explain your hypothesis
– Choose an interesting data source
– Visualize the dataset
– Analyze the dataset
– Submit the code
• Intermediate requirements (20%)
– Publish the visualization on the web
– Submit the code
• Advanced requirement (10%)
– Take a survey inspired by your research (e.g., How many people do you personally know
who had contracted covid-19)
– Submit the code and the collected data
3 An example of the hypothesis and the data sets
• Hypothesis: The fatality rate of covid-19 has a correlation with GDP per capita.
• Dataset:
– https://ourworldindata.org/coronavirus-source-data
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– https://data.worldbank.org/indicator/NY.GDP.PCAP.CD
• Visualize the dataset
– Scatter plot of GDP vs. Fatality rate
• Analysis: The p-value is smaller than 0.05, therefore, the two variables are correlated.
• The following web pages are supposed to be free data sources. Note: Some pages may contain
broken links or possible phishing site. Bad guys seem to exploit the popularity of data analytics.
Though I reviewed the following links, I might have missed something. Please inform me when
you find something suspicious within the following.
https://wikidata.org/
https://en.wikipedia.org/wiki/Wikipedia:Database_download
https://wiki.dbpedia.org/

Frontpage


https://www.usa.gov/developer
https://registry.opendata.aws/
https://www.nationalarchives.gov.uk/
https://archive.ics.uci.edu/ml/index.php
http://crawdad.org/
http://snap.stanford.edu/data/index.html
https://data.austintexas.gov/
https://registry.opendata.aws/
https://data.cityofchicago.org/
https://data.gov.uk/
https://www2.jpl.nasa.gov/srtm/
https://data.medicare.gov/
https://data.seattle.gov/
https://datasf.org/opendata/

Home


https://www.bls.gov/
https://www.kiva.org/
https://www.faa.gov/data_research/
https://opendata.vancouver.ca/pages/home/
https://fred.stlouisfed.org/
https://stats.oecd.org/index.aspx
http://data.un.org/Explorer.aspx
https://www.ngdc.noaa.gov/ngdc.html
https://data.gov.uk/
https://data.worldbank.org/
https://pslcdatashop.web.cmu.edu/
https://data.gov.bc.ca/
https://www.archives.gov/research/alic/tools/online-databases.html

Veröffentlichende Stellen (Daten)


https://daten.berlin.de/datensaetze

Home


https://dados.gov.pt/pt/
https://www.dati.gov.it/
https://dati.trentino.it/
2
https://www.google.com/publicdata/directory?hl=en_US&dl=en_US#!
https://www.google.com/publicdata/directory
https://developer.imdb.com/
http://usgovxml.com/
https://ai.googleblog.com/2006/08/all-our-n-gram-are-belong-to-you.html
https://www.kaggle.com/
https://www.theguardian.com/data
https://github.com/awesomedata/awesome-public-datasets
4 Materials for your proposal
• Slides explaining your hypothesis
• URL or snippet of data
• Your guess to the expected output
5 Materials for your final presentation
• Slides
• Demonstration
– Explain the code
– Generate visualization
6 Sections for your final report
• Introduction and Background (≤ 200 words)
• The hypothesis (≤200 words)
• The analysis and the implication (≤300 words)
• Conclusion (≤200 words)
• References (as complete as possible)
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