├── data ├── mo.geojson └── data-20161107T1038-structure-20161107T1038.csv ├── Codebook.pdf ├── .gitignore └── Readme.md /data/mo.geojson: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /Codebook.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/maks-sh/Visualization-of-Global-Terrorism-Database/master/Codebook.pdf -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # OSX 2 | # ========================= 3 | 4 | .DS_Store 5 | .AppleDouble 6 | .LSOverride 7 | 8 | # Thumbnails 9 | ._* 10 | 11 | # Files that might appear in the root of a volume 12 | .DocumentRevisions-V100 13 | .fseventsd 14 | .Spotlight-V100 15 | .TemporaryItems 16 | .Trashes 17 | .VolumeIcon.icns 18 | 19 | # Directories potentially created on remote AFP share 20 | .AppleDB 21 | .AppleDesktop 22 | Network Trash Folder 23 | Temporary Items 24 | .apdisk 25 | 26 | 27 | **/.ipynb_checkpoints/* 28 | 29 | globalterrorismdb_0616dist.csv 30 | -------------------------------------------------------------------------------- /Readme.md: -------------------------------------------------------------------------------- 1 | # My research 2 | The aim of this work was to learn how to use [Plotly Library](https://plot.ly/python/) and to practice of drawing the graphs and diagrams. 3 | 4 | * **[nbviewer](http://nbviewer.jupyter.org/github/maks-sh/Visualization-of-Global-Terrorism-Database/blob/master/Terror-eng.ipynb)** 5 | * [jupyter notebook](https://github.com/maks-sh/Visualization-of-Global-Terrorism-Database/blob/master/Terror-eng.ipynb) 6 | 7 | ## Content of research (nbviewer) 8 | 1. [Introduction](http://nbviewer.jupyter.org/github/maks-sh/Visualization-of-Global-Terrorism-Database/blob/master/Terror-eng.ipynb#Introduction) 9 | 2. [Import data](http://nbviewer.jupyter.org/github/maks-sh/Visualization-of-Global-Terrorism-Database/blob/master/Terror-eng.ipynb#Import-data) 10 | 3. [Terrorist attacks by latitude/longitude](http://nbviewer.jupyter.org/github/maks-sh/Visualization-of-Global-Terrorism-Database/blob/master/Terror-eng.ipynb#Terrorist-attacks-by-latitude/longitude) 11 | 4. [Terrorist attacks for years](http://nbviewer.jupyter.org/github/maks-sh/Visualization-of-Global-Terrorism-Database/blob/master/Terror-eng.ipynb#Terrorist-attacks-for-years) 12 | 5. [Terrorist attacks per holidays](http://nbviewer.jupyter.org/github/maks-sh/Visualization-of-Global-Terrorism-Database/blob/master/Terror-eng.ipynb#Terrorist-attacks-per-holidays) 13 | 6. [Terrorist attacks per weekday](http://nbviewer.jupyter.org/github/maks-sh/Visualization-of-Global-Terrorism-Database/blob/master/Terror-eng.ipynb#Terrorist-attacks-per-weekday) 14 | 7. [Terrorist attacks by target](http://nbviewer.jupyter.org/github/maks-sh/Visualization-of-Global-Terrorism-Database/blob/master/Terror-eng.ipynb#Terrorist-attacks-by-target) 15 | 8. [Terrorist attacks by weapon](http://nbviewer.jupyter.org/github/maks-sh/Visualization-of-Global-Terrorism-Database/blob/master/Terror-eng.ipynb#Terrorist-attacks-by-weapon) 16 | 9. [Terrorist attacks to cities](http://nbviewer.jupyter.org/github/maks-sh/Visualization-of-Global-Terrorism-Database/blob/master/Terror-eng.ipynb#Terrorist-attacks-to-cities) 17 | 10. [Terrorist attacks per Moscow district's](http://nbviewer.jupyter.org/github/maks-sh/Visualization-of-Global-Terrorism-Database/blob/master/Terror-eng.ipynb#Terrorist-attacks-per-Moscow-district's) 18 | 19 | # About GTD 20 | ## Main 21 | The Global Terrorism Database (GTD) is an open-source database including information on terrorist attacks around the world from 1970 through 2015 (with annual updates planned for the future). 22 | 23 | ## Content 24 | Geography: Worldwide 25 | 26 | Time period: 1970-2015, except 1993 (2016 in progress, publication expected June 2017) 27 | 28 | Unit of analysis: Attack 29 | 30 | Variables: >100 variables on location, tactics, perpetrators, targets, and outcomes 31 | 32 | * [Official site](http://www.start.umd.edu/gtd/) 33 | * [Documentation](https://github.com/maks-sh/Visualization-of-Global-Terrorism-Database/blob/master/Codebook.pdf) 34 | -------------------------------------------------------------------------------- /data/data-20161107T1038-structure-20161107T1038.csv: -------------------------------------------------------------------------------- 1 | "Год/Месяц","Январь","Февраль","Март","Апрель","Май","Июнь","Июль","Август","Сентябрь","Октябрь","Ноябрь","Декабрь","Всего рабочих дней","Всего праздничных и выходных дней","Количество рабочих часов при 40-часовой рабочей неделе","Количество рабочих часов при 36-часовой рабочей неделе","Количество рабочих часов при 24-часовой рабочей неделе" 2 | 1999,"1,2,3,4,6*,7,9,10,16,17,23,24,30,31","6,7,13,14,20,21,27,28","6,7,8,13,14,20,21,27,28","3,4,10,11,17,18,24,25,30*","1,2,3,4,8,9,10,15,16,22,23,29,30","5,6,11*,12,13,14,19,20,26,27","3,4,10,11,17,18,24,25,31","1,7,8,14,15,21,22,28,29","4,5,11,12,18,19,25,26","2,3,9,10,16,17,23,24,30,31","6,7,8,13,14,20,21,27,28","4,5,11,12,13,18,19,25,26,31*",251,114,2004,1807.2,1204.8 3 | 2000,"1,2,3,4,6*,7,8,9,15,16,22,23,29,30","5,6,12,13,19,20,26,27","4,5,7*,8,11,12,18,19,25,26","1,2,8,9,15,16,22,23,29,30","1,2,6,7,8*,9,13,14,20,21,27,28","3,4,10,11,12,17,18,24,25","1,2,8,9,15,16,22,23,29,30","5,6,12,13,19,20,26,27","2,3,9,10,16,17,23,24,30","1,7,8,14,15,21,22,28,29","4,5,7,11,12,18,19,25,26","2,3,9,10,11*,12,16,17,23,24,30,31",250,116,1995,1800,1200 4 | 2001,"1,2,6,7,8,13,14,20,21,27,28","3,4,10,11,17,18,24,25","3,4,7*,8,10,11,17,18,24,25,31","1,7,8,14,15,21,22,28,29,30*","1,2,5,6,8*,9,12,13,19,20,26,27","2,3,9,10,11*,12,16,17,23,24,30","1,7,8,14,15,21,22,28,29","4,5,11,12,18,19,25,26","1,2,8,9,15,16,22,23,29,30","6,7,13,14,20,21,27,28","3,4,6*,7,10,11,17,18,24,25","1,2,8,9,12,15,16,22,23,29,30",251,114,2001,1807.2,1204.8 5 | 2002,"1,2,5,6,7,12,13,19,20,26,27","2,3,9,10,16,17,22*,23,24,25","2,3,7*,8,9,10,16,17,23,24,30,31","6,7,13,14,20,21,28,30*","1,2,3,4,5,8*,9,10,11,12,19,25,26","1,2,8,9,11*,12,15,16,22,23,29,30","6,7,13,14,20,21,27,28","3,4,10,11,17,18,24,25,31","1,7,8,14,15,21,22,28,29","5,6,12,13,19,20,26,27","2,3,6*,7,8,9,16,17,23,24,30","1,7,8,11*,12,13,14,21,22,28,29,31*",250,115,1992,1792,1192 6 | 2003,"1,2,3,5*,6,7,11,12,18,19,25,26","1,2,8,9,15,16,22,23,24","1,2,7*,8,9,10,15,16,22,23,29,30","5,6,12,13,19,20,26,27,30*","1,2,3,4,8*,9,10,11,17,18,24,25,31","1,7,8,11*,12,13,14,15,22,28,29","5,6,12,13,19,20,26,27","2,3,9,10,16,17,23,24,30,31","6,7,13,14,20,21,27,28","4,5,11,12,18,19,25,26","1,2,6*,7,8,9,15,16,22,23,29,30","6,7,11*,12,13,14,20,21,27,28,31*",250,115,1992,1792,1192 7 | 2004,"1,2,3,4,6*,7,10,11,17,18,24,25,31","1,7,8,14,15,21,22,23,28,29","6,7,8,13,14,20,21,27,28","3,4,10,11,17,18,24,25,30*","1,2,3,4,8,9,10,15,16,22,23,29,30","5,6,11*,12,13,14,19,20,26,27","3,4,10,11,17,18,24,25,31","1,7,8,14,15,21,22,28,29","4,5,11,12,18,19,25,26","2,3,9,10,16,17,23,24,30,31","6,7,8,13,14,20,21,27,28","4,5,11,12,13,18,19,25,26,31*",251,115,2004,1803.2,1200.8 8 | 2005,"1,2,3,4,5,6,7,8,9,10,15,16,22,23,29,30","5,6,12,13,19,20,22*,23,26,27","5*,6,7,8,12,13,19,20,26,27","2,3,9,10,16,17,23,24,30","1,2,7,8,9,14,15,21,22,28,29","4,5,11,12,13,18,19,25,26","2,3,9,10,16,17,23,24,30,31","6,7,13,14,20,21,27,28","3,4,10,11,17,18,24,25","1,2,8,9,15,16,22,23,29,30","3*,4,5,6,12,13,19,20,26,27","3,4,10,11,17,18,24,25,31",248,117,1981,1782.6,1187.4 9 | 2006,"1,2,3,4,5,6,7,8,9,14,15,21,22,28,29","4,5,11,12,18,19,22*,23,24,25,26","4,5,7*,8,11,12,18,19,25,26","1,2,8,9,15,16,22,23,29,30","1,6*,7,8,9,13,14,20,21,27,28","3,4,10,11,12,17,18,24,25","1,2,8,9,15,16,22,23,29,30","5,6,12,13,19,20,26,27","2,3,9,10,16,17,23,24,30","1,7,8,14,15,21,22,28,29","3*,4,5,6,11,12,18,19,25,26","2,3,9,10,16,17,23,24,30,31",248,117,1981,1782.6,1187.4 10 | 2007,"1,2,3,4,5,6,7,8,13,14,20,21,27,28","3,4,10,11,17,18,22*,23,24,25","3,4,7*,8,10,11,17,18,24,25,31","1,7,8,14,15,21,22,28*,29,30","1,5,6,8*,9,12,13,19,20,26,27","2,3,9*,10,11,12,16,17,23,24,30","1,7,8,14,15,21,22,28,29","4,5,11,12,18,19,25,26","1,2,8,9,15,16,22,23,29,30","6,7,13,14,20,21,27,28","3,4,5,10,11,17,18,24,25","1,2,8,9,15,16,22,23,29*,30,31",249,116,1986,1786.8,1189.2 11 | 2008,"1,2,3,4,5,6,7,8,12,13,19,20,26,27","2,3,9,10,16,17,22*,23,24,25","1,2,7*,8,9,10,15,16,22,23,29,30","5,6,12,13,19,20,26,27,30*","1,2,3,8*,9,10,11,17,18,24,25,31","1,8,11*,12,13,14,15,21,22,28,29","5,6,12,13,19,20,26,27","2,3,9,10,16,17,23,24,30,31","6,7,13,14,20,21,27,28","4,5,11,12,18,19,25,26","1*,2,3,4,8,9,15,16,22,23,29,30","6,7,13,14,20,21,27,28,31*",250,116,1993,1793,1193 12 | 2009,"1,2,3,4,5,6,7,8,9,10,17,18,24,25,31","1,7,8,14,15,21,22,23,28","1,7,8,9,14,15,21,22,28,29","4,5,11,12,18,19,25,26","1,2,3,8*,9,10,11,16,17,23,24,30,31","6,7,11*,12,13,14,20,21,27,28","4,5,11,12,18,19,25,26","1,2,8,9,15,16,22,23,29,30","5,6,12,13,19,20,26,27","3,4,10,11,17,18,24,25,31","1,3*,4,7,8,14,15,21,22,28,29","5,6,12,13,19,20,26,27,31*",249,116,1987,1787.8,1190.2 13 | 2010,"1,2,3,4,5,6,7,8,9,10,16,17,23,24,30,31","6,7,13,14,20,21,22,23,27*,28","6,7,8,13,14,20,21,27,28","3,4,10,11,17,18,24,25,30*","1,2,3,8,9,10,15,16,22,23,29,30","5,6,11*,12,13,14,19,20,26,27","3,4,10,11,17,18,24,25,31","1,7,8,14,15,21,22,28,29","4,5,11,12,18,19,25,26","2,3,9,10,16,17,23,24,30,31","3*,4,5,6,7,14,20,21,27,28","4,5,11,12,18,19,25,26,31*",249,116,1987,1787.8,1190.2 14 | 2011,"1,2,3,4,5,6,7,8,9,10,15,16,22,23,29,30","5,6,12,13,19,20,22*,23,26,27","5*,6,7,8,12,13,19,20,26,27","2,3,9,10,16,17,23,24,30","1,2,7,8,9,14,15,21,22,28,29","4,5,11,12,13,18,19,25,26","2,3,9,10,16,17,23,24,30,31","6,7,13,14,20,21,27,28","3,4,10,11,17,18,24,25","1,2,8,9,15,16,22,23,29,30","3*,4,5,6,12,13,19,20,26,27","3,4,10,11,17,18,24,25,31",248,117,1981,1782.6,1187.4 15 | 2012,"1,2,3,4,5,6,7,8,9,14,15,21,22,28,29","4,5,11,12,18,19,22*,23,25,26","3,4,7*,8,9,10,17,18,24,25,31","1,7,8,14,15,21,22,28*,29,30","1,6,7,8,9,12*,13,19,20,26,27","2,3,9*,10,11,12,16,17,23,24,30","1,7,8,14,15,21,22,28,29","4,5,11,12,18,19,25,26","1,2,8,9,15,16,22,23,29,30","6,7,13,14,20,21,27,28","3,4,5,10,11,17,18,24,25","1,2,8,9,15,16,22,23,29*,30,31",249,117,1986,1786.8,1189.2 16 | 2013,"1,2,3,4,5,6,7,8,12,13,19,20,26,27","2,3,9,10,16,17,22*,23,24","2,3,7*,8,9,10,16,17,23,24,30,31","6,7,13,14,20,21,27,28","1,2,3,4,5,8*,9,10,11,12,18,19,25,26","1,2,8,9,11*,12,15,16,22,23,29,29,30","6,7,13,14,20,21,27,28","3,4,10,11,17,18,24,25,31","1,7,8,14,15,21,22,28,29","5,6,12,13,19,20,26,27","2,3,4,9,10,16,17,23,24,30","1,7,8,14,15,21,22,28,29,31*",247,118,1970,1772.4,1179.6 17 | 2014,"1,2,3,4,5,6,7,8,11,12,18,19,25,26","1,2,8,9,15,16,22,23,24*","1,2,7*,8,9,10,15,16,22,23,29,30","5,6,12,13,19,20,26,27,30*","1,2,3,4,8*,9,10,11,17,18,24,25,31","1,7,8,11*,12,13,14,15,21,22,28,29","5,6,12,13,19,20,26,27","2,3,9,10,16,17,23,24,30,31","6,7,13,14,20,21,27,28","4,5,11,12,18,19,25,26","1,2,3,4,8,9,15,16,22,23,29,30","6,7,13,14,20,21,27,28",247,118,1970,1772.4,1179.6 18 | 2015,"1,2,3,4,5,6,7,8,9,10,11,17,18,24,25,31","1,7,8,14,15,21,22,23,28","1,7,8,9,14,15,21,22,28,29","4,5,11,12,18,19,25,26,30*","1,2,3,4,8*,9,10,11,16,17,23,24,30,31","6,7,11*,12,13,14,20,21,27,28","4,5,11,12,18,19,25,26","1,2,8,9,15,16,22,23,29,30","5,6,12,13,19,20,26,27","3,4,10,11,17,18,24,25,31","1,3*,4,7,8,14,15,21,22,28,29","5,6,12,13,19,20,26,27,31*",247,118,1971,1773.4,1180.6 19 | 2016,"1,2,3,4,5,6,7,8,9,10,16,17,23,24,30,31","6,7,13,14,20*,21,22,23,27,28","5,6,7,8,12,13,19,20,26,27","2,3,9,10,16,17,23,24,30","1,2,3,7,8,9,14,15,21,22,28,29","4,5,11,12,13,18,19,25,26","2,3,9,10,16,17,23,24,30,31","6,7,13,14,20,21,27,28","3,4,10,11,17,18,24,25","1,2,8,9,15,16,22,23,29,30","3*,4,5,6,12,13,19,20,26,27","3,4,10,11,17,18,24,25,31",247,119,1974,1776.4,1183.6 20 | 2017,"1,2,3,4,5,6,7,8,14,15,21,22,28,29","4,5,11,12,18,19,22*,23,24,25,26","4,5,7*,8,11,12,18,19,25,26","1,2,8,9,15,16,22,23,29,30","1,6,7,8,9,13,14,20,21,27,28","3,4,10,11,12,17,18,24,25","1,2,8,9,15,16,22,23,29,30","5,6,12,13,19,20,26,27","2,3,9,10,16,17,23,24,30","1,7,8,14,15,21,22,28,29","3*,4,5,6,11,12,18,19,25,26","2,3,9,10,16,17,23,24,30,31",247,118,1973,1775.4,1182.6 21 | 2018,"1,2,3,4,5,6,7,8,9,10,13,14,20,21,27,28","3,4,10,11,17,18,22*,23,24,25","3,4,7*,8,10,11,17,18,24,25,31","1,7,8,14,15,21,22,28,29,30*","1,5,6,8*,9,12,13,19,20,26,27","2,3,9,10,11*,12,16,17,23,24,30","1,7,8,14,15,21,22,28,29","4,5,11,12,18,19,25,26","1,2,8,9,15,16,22,23,29,30","6,7,13,14,20,21,27,28","3,4,5,10,11,17,18,24,25","1,2,8,9,15,16,22,23,29,30,31*",247,118,1970,1772.4,1179.6 22 | 2019,"1,2,3,4,5,6,7,8,9,10,12,13,19,20,26,27","2,3,9,10,16,17,22*,23,24,25","2,3,7*,8,9,10,16,17,23,24,30,31","6,7,13,14,20,21,27,28,30*","1*,4,5,8*,9,11,12,18,19,25,26","1,2,8,9,11*,12,15,16,22,23,29,30","6,7,13,14,20,21,27,28","3,4,10,11,17,18,24,25,31","1,7,8,14,15,21,22,28,29","5,6,12,13,19,20,26,27","2,3,4*,9,10,16,17,23,24,30","1,7,8,14,15,21,22,28,29,31*",247,118,1970,1772.4,1179.6 --------------------------------------------------------------------------------