Collected datasets about fCC in Medium.

• Recent project.

• dataset: stats of titles of articles in freeCodeCamp Medium, fccmediumTitles - Cleaned_Data.tsv (tab-separated file) curated by @evaristoc

  • data collected before 12-Oct-2016
  • "Quartier" : quartier of the year
  • "date" : as "MM yyyy"
  • "Title" : unparsed title of the article
  • "Recommends" : number of Recommends as defined by Medium Team by the date the data was collected
  • "Read ratio" : percentage of people who view the article and then read it, "difference between your reads and views"

• dataset: stats of titles of articles in freeCodeCamp Medium + title class, medium_titles - rawdata.tsv (tab-separated file) curated by @evaristoc * data about titles between Jan-2016 and Jan-2017

  • "order" : acquisition order (by date)
  • "inv-ord" : inverted order
  • "selection" : for analytical purposes, 0 or 1
  • "CollTitle" : title of the article, unparsed
  • "CorrectedTitle" : parsed CollTitle
  • "OrigRecommends" : unparsed number of Recommends as defined by Medium Team by the date the data was collected
  • "classification" :
    • TECH : technical
    • MOT : motivational
    • SEC : security
    • JOB : job-related
    • CS : computer science
    • WD : web development
    • DES : design
    • PM : project management
    • DS : data science
    • FCC : institutional (about fCC)
    • AD : advertising
    • CB : Code Briefings
    • OTHER : other
  • "Recommends" : parsed number of Recommends as defined by Medium Team by the date the data was collected
  • "Class_WD" : articles with the WD class; 0=False,1=True
  • "Class_WD&CS" : articles with either the WD class or the CS class; 0=False,1=True