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Class_exercise_1

DAPS&CO- Data access, module 2

Alba Proficuo

Erica Ravarelli

Folder structure:

  • 00 useful documents and country table: references, dataset (.dta), list of countries (81)
  • 01 import-recode: data import and recoding
  • 02 dataprep: data preparation for plots and regression
  • 03 datavisualization: bar charts and regression models with tables
  • Plots_img: PDFs of barcharts
  • report: final report in HTML

Individual contributions:

  • number of commits per person: Alba Proficuo_ 19; Erica Ravarelli_36
  • number of issues opened: 3;
  • number of pull requests opened: 4;
  • number of pull requests accepted and merged: 4;
  • number of new branches opened: 3.

Individual tasks:

  • Erica Ravarelli: Import dataset in R, recode variables of interests and prepare those variables for plotting, reorganise folders with scripts, merge second- third and fourth pull request, HTLM introduction, reorganize and add new folders, add 3 useful documents for the research in new folder, data preparation and plot analysis in HTLM of 2 bar-chart and 2 regression, fix major coding and knitting issues, delete useless and repetitive folders or documents.

  • Alba Proficuo: recode variables of interest, plots, reorganise folders with plots, regression model of the variables of interest, update README.md file, merge first pull request, add 1 useful document for the research in new folder, data preparation and plot analysis in HTLM of 1 bar-chart and 1 regression, conlusion in HTLM, add and reorganize output folder, final touches in ReadMe file.

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