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#NZZ Storytelling, January 2017: This describes how we scraped the FIS database in order to visualize and categorize skiers' careers | |
#Feedback welcome by e-mail marie-jose.kolly[at]nzz.ch or twitter [at]mjkolly | |
#Main article that presents graphics and other results: http://nzz.ch/-ld.139656 | |
#Article that describes our methods: http://nzz.ch/-ld.142634 | |
#load some useful packages | |
library(rvest) | |
library(directlabels) |
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#Marie-José Kolly via NZZ Storytelling, July 2017: How we scraped the publication database of the Basel Committee on Banking Supervision and analyzed their supervisory texts in order to visualize quantity and quality of regulatory text over time | |
#Feedback welcome by e-mail marie-jose.kolly[at]nzz.ch or twitter [at]mjkolly | |
#Article presenting results: www.nzz.ch/ld.1304103 | |
library(rvest) | |
library(pdftools) | |
library(tm) | |
library(ggplot2) | |
library(magrittr) |
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#!/bin/bash | |
#Marie-José Kolly via NZZ Storytelling, July 2017: How we scraped the publication database of the Basel Committee on Banking Supervision and analyzed their supervisory texts in order to visualize quantity and quality of regulatory text over time | |
#Feedback welcome by e-mail marie-jose.kolly[at]nzz.ch or twitter [at]mjkolly | |
#Article presenting results: www.nzz.ch/ld.1304103 | |
#risk per file, corpus 3 |