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README.md
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2. Make your changes.
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3. Submit a pull request.
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## Usage
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### Loading the Dataset in Python
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2. Make your changes.
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3. Submit a pull request.
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## Who are the source Data producers ?
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The data is machine-generated (using web scraping) and subjected to human additional treatment.
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below, I provide the script I created to scrape the data (as well as my additional treatment):
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import scrapy
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class StatesspiderSpider(scrapy.Spider):
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name = 'statesspider'
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start_urls = ['https://en.wikipedia.org/wiki/List_of_sovereign_states']
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def parse(self, response):
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rows = response.xpath('//table[contains(@class, "wikitable")][1]//tr') # Locate the main table
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for row in rows[1:]: # Skip the header row
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common_and_formal_names = row.xpath('td[1]//text()').getall() # First column
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membership_within_un_system = row.xpath('td[2]//text()').getall() # Second column
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sovereignty_dispute = row.xpath('td[3]//text()').getall() # Third column
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further_information = row.xpath('td[4]//text()').getall() # Fourth column
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# Clean up and join text lists
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common_and_formal_names = ' '.join(common_and_formal_names).strip()
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membership_within_un_system = ' '.join(membership_within_un_system).strip()
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sovereignty_dispute = ' '.join(sovereignty_dispute).strip()
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further_information = ' '.join(further_information).strip()
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yield {
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'Common and Formal Names': common_and_formal_names,
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'Membership within the UN System': membership_within_un_system,
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'Sovereignty Dispute': sovereignty_dispute,
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'Further Information': further_information,
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}
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## Usage
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### Loading the Dataset in Python
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