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Web Scraping using html_table ( ) function
I recently explored the power of R for web scraping using the rvest package. In my latest project, I focused on extracting and cleaning data from a webpage, particularly utilizing the html_table() function. This approach allows for efficient extraction of tabular data directly into R, streamlining the data analysis process.
flexiboard_data_viz
Difficulty of winning in the NFL
Percent chance of winning an NFL game based on key metrics and how the averages required to win have evolved (2000 and 2019)
Try1_flexboard
Body Armour Female Police Survey: England and Wales - 2016
The data was collated from over 2000 female police officers in relation to the wearing of body armour, bra type and size, discomfort and ability to perform simple task. The data relates to officers from the police forces of England and Wales only, collected in 2016
Civil Wars Dataset Main RPub LONGITUDNAL DATA
This is for the Longitudnal data with around n~2000
Short-term visitors to Australia - Source Market Performance
International visitors are a key driver of local jobs and business opportunities. This dashboard considers the performance of source markets through the lens of their volume of arrivals, their wealth and population, and distance from Australia.
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