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MD_Global_Terrorism

University project. Data mining.

  • Final Report Draft.odt: File containing our final written report.

  • Preprocessing: Contains the scripts related to the preprocessing of our dataset.

    • BIUDS_raw_data.Rmd: markdown file with the basic statistical analysis and study of our dataset before preprocessing
    • BUDS_preprocessed_data.Rmd: markdown file with the basic statistical analysis and study of our dataset after preprocessing
    • Preprocessing.Rmd: markdown file with the explanation alongside the code of each step we've gone through during preprocessing

  • bivariate_analysis:

    • SDA_Bivariate.Rmd: markdown file with the bivariate statistical analysis and study of our dataset after preprocessing

  • PCA: Contains the scripts related to the Principal Component Analysis of the project.

    • PCA.R
    • PCA.Rmd

  • clusters:

    • clusters_script.Rmd: markdown file with the clustering and its analysis of our dataset

  • profiling:

    • ??

  • datasets: Contains the different versions of the dataset we've been using.

    • .Rhistory
    • fips-codes-added.csv
    • fips_codes_state.csv
    • longitudeFixed.csv

  • map: Contains the python scripts used to generate the maps, and the maps themselves.

    • html_files: directory with the maps
      • map_points.html: map with all the incidents in our dataset, filterable by the ruling party
      • map_provs.html: map with all the incidents classified by the FIPS codes
      • map_states.html: map with all incidents classified by states
      • map_time.html: map with all the incidents classified by the month the took place in
    • insert_fips.py: script used to add the fips codes of each incident from another file to our dataset
    • map_points.py: script used to create map_points.html
    • map_states.py: script used to create map_states.html
    • map_time.py: script used to create map_time.html
    • maps_provs.py: script used to create maps_provs.html