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Analysis of Global Terrorism Activity

Copyright 2013 Dean Attali. Licensed under the MIT license.

UBC STAT545A Final Project

Report

A visual report with written analysis of this project, but without all the code, is available here.

Summary

In this project, I explored a dataset containing information about global terrorism acts since 1970, and attempted to make the findings as visual as possible. The dataset used is called the Global Terrorism Database (available here), and contains over 100,000 terrorist incidents worldwide, with over 100 different attributes for each incident. Another dataset that is used to retrieve some additional information about countries is the GapMinder data (available here). The results include 14 plots, 2 maps, and 4 tables. All look beautiful and interesting! Most of the analysis is done globally, but one of the scripts focuses on terrorism in Israel since it is very relevant to me.

If you just want to see the results and not run the scripts yourself, all relevant output is in the 'results' folder.

How to replicate/run the analysis:

  • Download the 2 data files: globalterrorismdb.csv, gapminderDataFiveYear.txt
  • Download the 8 required R files: MakeFile.R, common.R, 00_installPackages.R, 01_preprocessData.R, 02_analysisPlots.R, 03_analysisMaps.R, 04_integrateGapMinder.R, 05_israel.R
  • Make sure all the above files are in the same directory
  • If this is the first time running the pipeline, you will need to run 00_installPackages.R to install the required R packages
  • Run MakeFile.R (ensure the working directory is set to the above directory)
  • Note that MakeFile.R will run all the scripts. Any that the code was modulated in a way that any of the scripts can also be run individually

File descriptions:

  • results/ - All plots and tables generated by the analysis are outputted in this directory
  • TerrorismDatabaseDesc.pdf - Describes the dataset and how to use it
  • MakeFile.R - The main R file that runs all the scripts
  • 00_installPackages.R - Installs required packages
  • 01_preprocessData.R - Clean and process the data
  • 02_analysisPlots - Using plots to explore the terrorism database
  • 03_analysisMaps - Visualizing some data on a world map
  • 04_integrateGapMinder - Merge data with GapMinder to compare terrorism vs GDP
  • 05_israel.R - Analysis of terrorism in Israel
  • common.R - Has common functionality needed for most scripts
  • globalterrorismdb.csv - Raw unprocessed input from Global Terrorism Database
  • globalterrorismdb_clean.csv - Processed, clean terrorism data
  • gapminderDataFiveYear.txt - GapMinder raw data
  • terrorism.Rmd, terrorism.html - The R Markdown and HTML of a report version of this project

About

Final project for STAT545A - Terrorist activity data analysis

Resources

Readme
Activity

Stars

21 stars

Watchers

4 watching

Forks

20 forks
Report repository

Releases

Sponsor this project

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Analysis of Global Terrorism Activity
Copyright 2013 Dean Attali. Licensed under the MIT license.
UBC STAT545A Final Project
Report
A visual report with written analysis of this project, but without all the code, is available here.
Summary
In this project, I explored a dataset containing information about global terrorism acts since 1970, and attempted to make the findings as visual as possible. The dataset used is called the Global Terrorism Database (available here), and contains over 100,000 terrorist incidents worldwide, with over 100 different attributes for each incident. Another dataset that is used to retrieve some additional information about countries is the GapMinder data (available here). The results include 14 plots, 2 maps, and 4 tables. All look beautiful and interesting! Most of the analysis is done globally, but one of the scripts focuses on terrorism in Israel since it is very relevant to me.
If you just want to see the results and not run the scripts yourself, all relevant output is in the 'results' folder.
How to replicate/run the analysis:
  • Download the 2 data files: globalterrorismdb.csv, gapminderDataFiveYear.txt
  • Download the 8 required R files: MakeFile.R, common.R, 00_installPackages.R, 01_preprocessData.R, 02_analysisPlots.R, 03_analysisMaps.R, 04_integrateGapMinder.R, 05_israel.R
  • Make sure all the above files are in the same directory
  • If this is the first time running the pipeline, you will need to run 00_installPackages.R to install the required R packages
  • Run MakeFile.R (ensure the working directory is set to the above directory)
  • Note that MakeFile.R will run all the scripts. Any that the code was modulated in a way that any of the scripts can also be run individually
File descriptions:
  • results/ - All plots and tables generated by the analysis are outputted in this directory
  • TerrorismDatabaseDesc.pdf - Describes the dataset and how to use it
  • MakeFile.R - The main R file that runs all the scripts
  • 00_installPackages.R - Installs required packages
  • 01_preprocessData.R - Clean and process the data
  • 02_analysisPlots - Using plots to explore the terrorism database
  • 03_analysisMaps - Visualizing some data on a world map
  • 04_integrateGapMinder - Merge data with GapMinder to compare terrorism vs GDP
  • 05_israel.R - Analysis of terrorism in Israel
  • common.R - Has common functionality needed for most scripts
  • globalterrorismdb.csv - Raw unprocessed input from Global Terrorism Database
  • globalterrorismdb_clean.csv - Processed, clean terrorism data
  • gapminderDataFiveYear.txt - GapMinder raw data
  • terrorism.Rmd, terrorism.html - The R Markdown and HTML of a report version of this project
About
Final project for STAT545A - Terrorist activity data analysis
Resources
Readme
Activity
Stars
21 stars
Watchers
4 watching
Forks
20 forks
Report repository
Releases
Sponsor this project
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Analysis of Global Terrorism Activity
Copyright 2013 Dean Attali. Licensed under the MIT license.
UBC STAT545A Final Project
Report
A visual report with written analysis of this project, but without all the code, is available here.
Summary
In this project, I explored a dataset containing information about global terrorism acts since 1970, and attempted to make the findings as visual as possible. The dataset used is called the Global Terrorism Database (available here), and contains over 100,000 terrorist incidents worldwide, with over 100 different attributes for each incident. Another dataset that is used to retrieve some additional information about countries is the GapMinder data (available here). The results include 14 plots, 2 maps, and 4 tables. All look beautiful and interesting! Most of the analysis is done globally, but one of the scripts focuses on terrorism in Israel since it is very relevant to me.
If you just want to see the results and not run the scripts yourself, all relevant output is in the 'results' folder.
How to replicate/run the analysis:
  • Download the 2 data files: globalterrorismdb.csv, gapminderDataFiveYear.txt
  • Download the 8 required R files: MakeFile.R, common.R, 00_installPackages.R, 01_preprocessData.R, 02_analysisPlots.R, 03_analysisMaps.R, 04_integrateGapMinder.R, 05_israel.R
  • Make sure all the above files are in the same directory
  • If this is the first time running the pipeline, you will need to run 00_installPackages.R to install the required R packages
  • Run MakeFile.R (ensure the working directory is set to the above directory)
  • Note that MakeFile.R will run all the scripts. Any that the code was modulated in a way that any of the scripts can also be run individually
File descriptions:
  • results/ - All plots and tables generated by the analysis are outputted in this directory
  • TerrorismDatabaseDesc.pdf - Describes the dataset and how to use it
  • MakeFile.R - The main R file that runs all the scripts
  • 00_installPackages.R - Installs required packages
  • 01_preprocessData.R - Clean and process the data
  • 02_analysisPlots - Using plots to explore the terrorism database
  • 03_analysisMaps - Visualizing some data on a world map
  • 04_integrateGapMinder - Merge data with GapMinder to compare terrorism vs GDP
  • 05_israel.R - Analysis of terrorism in Israel
  • common.R - Has common functionality needed for most scripts
  • globalterrorismdb.csv - Raw unprocessed input from Global Terrorism Database
  • globalterrorismdb_clean.csv - Processed, clean terrorism data
  • gapminderDataFiveYear.txt - GapMinder raw data
  • terrorism.Rmd, terrorism.html - The R Markdown and HTML of a report version of this project
About
Final project for STAT545A - Terrorist activity data analysis
Resources
Readme
Activity
Stars
21 stars
Watchers
4 watching
Forks
20 forks
Report repository
Releases
Sponsor this project
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
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Analysis of Global Terrorism Activity
Copyright 2013 Dean Attali. Licensed under the MIT license.
UBC STAT545A Final Project
Report
A visual report with written analysis of this project, but without all the code, is available here.
Summary
In this project, I explored a dataset containing information about global terrorism acts since 1970, and attempted to make the findings as visual as possible. The dataset used is called the Global Terrorism Database (available here), and contains over 100,000 terrorist incidents worldwide, with over 100 different attributes for each incident. Another dataset that is used to retrieve some additional information about countries is the GapMinder data (available here). The results include 14 plots, 2 maps, and 4 tables. All look beautiful and interesting! Most of the analysis is done globally, but one of the scripts focuses on terrorism in Israel since it is very relevant to me.
If you just want to see the results and not run the scripts yourself, all relevant output is in the 'results' folder.
How to replicate/run the analysis:
  • Download the 2 data files: globalterrorismdb.csv, gapminderDataFiveYear.txt
  • Download the 8 required R files: MakeFile.R, common.R, 00_installPackages.R, 01_preprocessData.R, 02_analysisPlots.R, 03_analysisMaps.R, 04_integrateGapMinder.R, 05_israel.R
  • Make sure all the above files are in the same directory
  • If this is the first time running the pipeline, you will need to run 00_installPackages.R to install the required R packages
  • Run MakeFile.R (ensure the working directory is set to the above directory)
  • Note that MakeFile.R will run all the scripts. Any that the code was modulated in a way that any of the scripts can also be run individually
File descriptions:
  • results/ - All plots and tables generated by the analysis are outputted in this directory
  • TerrorismDatabaseDesc.pdf - Describes the dataset and how to use it
  • MakeFile.R - The main R file that runs all the scripts
  • 00_installPackages.R - Installs required packages
  • 01_preprocessData.R - Clean and process the data
  • 02_analysisPlots - Using plots to explore the terrorism database
  • 03_analysisMaps - Visualizing some data on a world map
  • 04_integrateGapMinder - Merge data with GapMinder to compare terrorism vs GDP
  • 05_israel.R - Analysis of terrorism in Israel
  • common.R - Has common functionality needed for most scripts
  • globalterrorismdb.csv - Raw unprocessed input from Global Terrorism Database
  • globalterrorismdb_clean.csv - Processed, clean terrorism data
  • gapminderDataFiveYear.txt - GapMinder raw data
  • terrorism.Rmd, terrorism.html - The R Markdown and HTML of a report version of this project
About
Final project for STAT545A - Terrorist activity data analysis
Resources
Readme
Activity
Stars
21 stars
Watchers
4 watching
Forks
20 forks
Report repository
Releases
Sponsor this project
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
Analysis of Global Terrorism Activity
Copyright 2013 Dean Attali. Licensed under the MIT license.
UBC STAT545A Final Project
Report
A visual report with written analysis of this project, but without all the code, is available here.
Summary
In this project, I explored a dataset containing information about global terrorism acts since 1970, and attempted to make the findings as visual as possible. The dataset used is called the Global Terrorism Database (available here), and contains over 100,000 terrorist incidents worldwide, with over 100 different attributes for each incident. Another dataset that is used to retrieve some additional information about countries is the GapMinder data (available here). The results include 14 plots, 2 maps, and 4 tables. All look beautiful and interesting! Most of the analysis is done globally, but one of the scripts focuses on terrorism in Israel since it is very relevant to me.
If you just want to see the results and not run the scripts yourself, all relevant output is in the 'results' folder.
How to replicate/run the analysis:
  • Download the 2 data files: globalterrorismdb.csv, gapminderDataFiveYear.txt
  • Download the 8 required R files: MakeFile.R, common.R, 00_installPackages.R, 01_preprocessData.R, 02_analysisPlots.R, 03_analysisMaps.R, 04_integrateGapMinder.R, 05_israel.R
  • Make sure all the above files are in the same directory
  • If this is the first time running the pipeline, you will need to run 00_installPackages.R to install the required R packages
  • Run MakeFile.R (ensure the working directory is set to the above directory)
  • Note that MakeFile.R will run all the scripts. Any that the code was modulated in a way that any of the scripts can also be run individually
File descriptions:
  • results/ - All plots and tables generated by the analysis are outputted in this directory
  • TerrorismDatabaseDesc.pdf - Describes the dataset and how to use it
  • MakeFile.R - The main R file that runs all the scripts
  • 00_installPackages.R - Installs required packages
  • 01_preprocessData.R - Clean and process the data
  • 02_analysisPlots - Using plots to explore the terrorism database
  • 03_analysisMaps - Visualizing some data on a world map
  • 04_integrateGapMinder - Merge data with GapMinder to compare terrorism vs GDP
  • 05_israel.R - Analysis of terrorism in Israel
  • common.R - Has common functionality needed for most scripts
  • globalterrorismdb.csv - Raw unprocessed input from Global Terrorism Database
  • globalterrorismdb_clean.csv - Processed, clean terrorism data
  • gapminderDataFiveYear.txt - GapMinder raw data
  • terrorism.Rmd, terrorism.html - The R Markdown and HTML of a report version of this project
About
Final project for STAT545A - Terrorist activity data analysis
Resources
Readme
Activity
Stars
21 stars
Watchers
4 watching
Forks
20 forks
Report repository
Releases
Sponsor this project
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Analysis of Global Terrorism Activity
Copyright 2013 Dean Attali. Licensed under the MIT license.
UBC STAT545A Final Project
Report
A visual report with written analysis of this project, but without all the code, is available here.
Summary
In this project, I explored a dataset containing information about global terrorism acts since 1970, and attempted to make the findings as visual as possible. The dataset used is called the Global Terrorism Database (available here), and contains over 100,000 terrorist incidents worldwide, with over 100 different attributes for each incident. Another dataset that is used to retrieve some additional information about countries is the GapMinder data (available here). The results include 14 plots, 2 maps, and 4 tables. All look beautiful and interesting! Most of the analysis is done globally, but one of the scripts focuses on terrorism in Israel since it is very relevant to me.
If you just want to see the results and not run the scripts yourself, all relevant output is in the 'results' folder.
How to replicate/run the analysis:
  • Download the 2 data files: globalterrorismdb.csv, gapminderDataFiveYear.txt
  • Download the 8 required R files: MakeFile.R, common.R, 00_installPackages.R, 01_preprocessData.R, 02_analysisPlots.R, 03_analysisMaps.R, 04_integrateGapMinder.R, 05_israel.R
  • Make sure all the above files are in the same directory
  • If this is the first time running the pipeline, you will need to run 00_installPackages.R to install the required R packages
  • Run MakeFile.R (ensure the working directory is set to the above directory)
  • Note that MakeFile.R will run all the scripts. Any that the code was modulated in a way that any of the scripts can also be run individually
File descriptions:
  • results/ - All plots and tables generated by the analysis are outputted in this directory
  • TerrorismDatabaseDesc.pdf - Describes the dataset and how to use it
  • MakeFile.R - The main R file that runs all the scripts
  • 00_installPackages.R - Installs required packages
  • 01_preprocessData.R - Clean and process the data
  • 02_analysisPlots - Using plots to explore the terrorism database
  • 03_analysisMaps - Visualizing some data on a world map
  • 04_integrateGapMinder - Merge data with GapMinder to compare terrorism vs GDP
  • 05_israel.R - Analysis of terrorism in Israel
  • common.R - Has common functionality needed for most scripts
  • globalterrorismdb.csv - Raw unprocessed input from Global Terrorism Database
  • globalterrorismdb_clean.csv - Processed, clean terrorism data
  • gapminderDataFiveYear.txt - GapMinder raw data
  • terrorism.Rmd, terrorism.html - The R Markdown and HTML of a report version of this project
About
Final project for STAT545A - Terrorist activity data analysis
Resources
Readme
Activity
Stars
21 stars
Watchers
4 watching
Forks
20 forks
Report repository
Releases
Sponsor this project
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
Analysis of Global Terrorism Activity
Copyright 2013 Dean Attali. Licensed under the MIT license.
UBC STAT545A Final Project
Report
A visual report with written analysis of this project, but without all the code, is available here.
Summary
In this project, I explored a dataset containing information about global terrorism acts since 1970, and attempted to make the findings as visual as possible. The dataset used is called the Global Terrorism Database (available here), and contains over 100,000 terrorist incidents worldwide, with over 100 different attributes for each incident. Another dataset that is used to retrieve some additional information about countries is the GapMinder data (available here). The results include 14 plots, 2 maps, and 4 tables. All look beautiful and interesting! Most of the analysis is done globally, but one of the scripts focuses on terrorism in Israel since it is very relevant to me.
If you just want to see the results and not run the scripts yourself, all relevant output is in the 'results' folder.
How to replicate/run the analysis:
  • Download the 2 data files: globalterrorismdb.csv, gapminderDataFiveYear.txt
  • Download the 8 required R files: MakeFile.R, common.R, 00_installPackages.R, 01_preprocessData.R, 02_analysisPlots.R, 03_analysisMaps.R, 04_integrateGapMinder.R, 05_israel.R
  • Make sure all the above files are in the same directory
  • If this is the first time running the pipeline, you will need to run 00_installPackages.R to install the required R packages
  • Run MakeFile.R (ensure the working directory is set to the above directory)
  • Note that MakeFile.R will run all the scripts. Any that the code was modulated in a way that any of the scripts can also be run individually
File descriptions:
  • results/ - All plots and tables generated by the analysis are outputted in this directory
  • TerrorismDatabaseDesc.pdf - Describes the dataset and how to use it
  • MakeFile.R - The main R file that runs all the scripts
  • 00_installPackages.R - Installs required packages
  • 01_preprocessData.R - Clean and process the data
  • 02_analysisPlots - Using plots to explore the terrorism database
  • 03_analysisMaps - Visualizing some data on a world map
  • 04_integrateGapMinder - Merge data with GapMinder to compare terrorism vs GDP
  • 05_israel.R - Analysis of terrorism in Israel
  • common.R - Has common functionality needed for most scripts
  • globalterrorismdb.csv - Raw unprocessed input from Global Terrorism Database
  • globalterrorismdb_clean.csv - Processed, clean terrorism data
  • gapminderDataFiveYear.txt - GapMinder raw data
  • terrorism.Rmd, terrorism.html - The R Markdown and HTML of a report version of this project
About
Final project for STAT545A - Terrorist activity data analysis
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Analysis of Global Terrorism Activity
Copyright 2013 Dean Attali. Licensed under the MIT license.
UBC STAT545A Final Project
Report
A visual report with written analysis of this project, but without all the code, is available here.
Summary
In this project, I explored a dataset containing information about global terrorism acts since 1970, and attempted to make the findings as visual as possible. The dataset used is called the Global Terrorism Database (available here), and contains over 100,000 terrorist incidents worldwide, with over 100 different attributes for each incident. Another dataset that is used to retrieve some additional information about countries is the GapMinder data (available here). The results include 14 plots, 2 maps, and 4 tables. All look beautiful and interesting! Most of the analysis is done globally, but one of the scripts focuses on terrorism in Israel since it is very relevant to me.
If you just want to see the results and not run the scripts yourself, all relevant output is in the 'results' folder.
How to replicate/run the analysis:
  • Download the 2 data files: globalterrorismdb.csv, gapminderDataFiveYear.txt
  • Download the 8 required R files: MakeFile.R, common.R, 00_installPackages.R, 01_preprocessData.R, 02_analysisPlots.R, 03_analysisMaps.R, 04_integrateGapMinder.R, 05_israel.R
  • Make sure all the above files are in the same directory
  • If this is the first time running the pipeline, you will need to run 00_installPackages.R to install the required R packages
  • Run MakeFile.R (ensure the working directory is set to the above directory)
  • Note that MakeFile.R will run all the scripts. Any that the code was modulated in a way that any of the scripts can also be run individually
File descriptions:
  • results/ - All plots and tables generated by the analysis are outputted in this directory
  • TerrorismDatabaseDesc.pdf - Describes the dataset and how to use it
  • MakeFile.R - The main R file that runs all the scripts
  • 00_installPackages.R - Installs required packages
  • 01_preprocessData.R - Clean and process the data
  • 02_analysisPlots - Using plots to explore the terrorism database
  • 03_analysisMaps - Visualizing some data on a world map
  • 04_integrateGapMinder - Merge data with GapMinder to compare terrorism vs GDP
  • 05_israel.R - Analysis of terrorism in Israel
  • common.R - Has common functionality needed for most scripts
  • globalterrorismdb.csv - Raw unprocessed input from Global Terrorism Database
  • globalterrorismdb_clean.csv - Processed, clean terrorism data
  • gapminderDataFiveYear.txt - GapMinder raw data
  • terrorism.Rmd, terrorism.html - The R Markdown and HTML of a report version of this project
About
Final project for STAT545A - Terrorist activity data analysis
Resources
Readme
Activity
Stars
21 stars
Watchers
4 watching
Forks
20 forks
Report repository
Releases
Sponsor this project
Packages
Contributors
Languages