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BEGIN:VEVENT
DTSTART:20260130T110000Z
DTEND:20260130T133000Z
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SUMMARY:Harvest data from webpages without APIs - with R
DESCRIPTION:About the winter school\n\nAs a new initiative\, KUB Datalab 
 has organised a so-called winter school. The aim is to give participants 
 the opportunity to engage intensively with R for an entire week. You will 
 therefore be able to tailor a programme that suits your specific needs and 
 level of experience. Please note that you must register for each course 
 individually.\n\nIn short\, it is up to you whether you wish to register 
 for one or more courses.\n\nThe winter school is organised in collaboration 
 between Copenhagen University Library and Roskilde University 
 Library.\n\nAbout the course\n\nWebsites contain a lot text and data. Some 
 of them have API's for easy download of data\, but many don't. In this 
 course you will learn how to harvest various parts of webpages that don't 
 have APIs. You will learn how to inspect a website and identify the parts 
 of it that you want to harvest\, whether it be numbers or text\, and use R 
 to transform it into a workable format. \n\nThis is called web scraping. 
 One of the advantages is that we can harvest data and text that is spread 
 over many pages instead of having to copy-paste each page manually. In 
 addition\, we can ensure that it is in a format that allows us to work with 
 page's content. In this course we will harvest both numbers in tables about 
 the demographics of University of Copenhagen Students as well as text about 
 a political and societal issue\, both past and present\n\n \n\nWe assume 
 that you have some experience working with R\, and know the tidyverse. The 
 level required is what you would learn on one of our introductory course in 
 "R for absolute beginners". \n\nYou are kindly asked to have R and Positron 
 and the internet browser Firefox installed before the course. You can 
 install R for Windows here and for Mac here. You can install Positron for 
 Windows and Mac here. \n\nThe course will be held in English if any 
 participant requests it. If everyone speaks Danish it can be held in Danish
LOCATION:Library Lighthouse\, zone 1\, Library Lighthouse\, zone 2\, Nørre Campus
ORGANIZER;CN="Søren Willer Hansen":MAILTO:swha@kb.dk
CATEGORIES:Cleaning, English, Harvesting, R, Datalab
CONTACT;CN="Søren Willer Hansen":MAILTO:swha@kb.dk
STATUS:CONFIRMED
UID:LibCal-4486314
URL:https://kubkalender.kb.dk/event/4486314
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