Python

CBC news comment and replies interaction network visualization

The CBC (Canadian Broadcasting Corporation) news website articles often have a comments section. It would be interesting to see the interactions between comments and replies, and to understand which person makes the most comments, and frequently used words and phrases. See the results: https://sitrucp.github.io/cbc_comments/image_grid.html Another post details a method to retrieve the comments. Comments include […]

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CBC news article comments web scraping

This post is focuses on a project where I scaped comments from CBC News website articles. (BTW, there are lots of “CBC’s” in the world. The one I am referring to is the Canadian Broadcasting Corporation.) There is another post that focuses on analysis and visualization of the scraped data. As a Canadian often travelling

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Canadian Government First Nations long term water advisory data

The Government of Canada is working with Canadian First Nations communities to end long-term drinking water advisories which have been in effect for more than 12 months since November 2015. This includes projects to build or renew drinking water infrastructure in these communities. The First Nation drinking water advisories were a big part of the

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COVID-19 Data Analysis and Visualization Summary

This is a list of Canadian COVID-19 related data analysis and visualization that I created during 2020/21 pandemic. Canada COVID-19 Case Map – COVID-19 new and total cases and mortalities by Canadian provincial health regions. https://sitrucp.github.io/canada_covid_health_regions Canada COVID-19 Vaccination Schedule – Canada’s current and historical vaccine doses administered and doses distributed. Also includes two distribution

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TendiesTown.com – WallStreetBets gain and loss analysis

For a 16 month period, from February 2020 to June 2021, TendiesTown.com used the Reddit API in an automated process to retrieve r/wallstreetbets posts tagged with “Gain” or “Loss” flair. The subReddit r/wallstreetbets is a stock and option trading discussion board that gained popularity during the 2020/2021 “meme stock” media frenzy. The retrieved posts were

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