From a5c2257dd0c39a8bd29af3ccfef3e9047adb7e00 Mon Sep 17 00:00:00 2001 From: NathanCoyote Date: Tue, 27 Jul 2021 17:14:34 -0400 Subject: [PATCH 01/24] Homework 2 first upload --- .../2021-07-20-homework-two/homework-two.Rmd | 45 + .../2021-07-20-homework-two/homework-two.html | 1540 +++++++++++++++++ .../anchor-4.2.2/anchor.min.js | 9 + .../bowser-1.9.3/bowser.min.js | 6 + .../distill-2.2.21/template.v2.js | 744 ++++++++ .../header-attrs-2.9/header-attrs.js | 12 + .../jquery-1.11.3/jquery.min.js | 5 + .../popper-2.6.0/popper.min.js | 6 + .../tippy-6.2.7/tippy-bundle.umd.min.js | 2 + .../tippy-6.2.7/tippy-light-border.css | 1 + .../homework-two_files/tippy-6.2.7/tippy.css | 1 + .../tippy-6.2.7/tippy.umd.min.js | 2 + .../webcomponents-2.0.0/webcomponents.js | 236 +++ 13 files changed, 2609 insertions(+) create mode 100644 _posts/2021-07-20-homework-two/homework-two.Rmd create mode 100644 _posts/2021-07-20-homework-two/homework-two.html create mode 100644 _posts/2021-07-20-homework-two/homework-two_files/anchor-4.2.2/anchor.min.js create mode 100644 _posts/2021-07-20-homework-two/homework-two_files/bowser-1.9.3/bowser.min.js create mode 100644 _posts/2021-07-20-homework-two/homework-two_files/distill-2.2.21/template.v2.js create mode 100644 _posts/2021-07-20-homework-two/homework-two_files/header-attrs-2.9/header-attrs.js create mode 100644 _posts/2021-07-20-homework-two/homework-two_files/jquery-1.11.3/jquery.min.js create mode 100644 _posts/2021-07-20-homework-two/homework-two_files/popper-2.6.0/popper.min.js create mode 100644 _posts/2021-07-20-homework-two/homework-two_files/tippy-6.2.7/tippy-bundle.umd.min.js create mode 100644 _posts/2021-07-20-homework-two/homework-two_files/tippy-6.2.7/tippy-light-border.css create mode 100644 _posts/2021-07-20-homework-two/homework-two_files/tippy-6.2.7/tippy.css create mode 100644 _posts/2021-07-20-homework-two/homework-two_files/tippy-6.2.7/tippy.umd.min.js create mode 100644 _posts/2021-07-20-homework-two/homework-two_files/webcomponents-2.0.0/webcomponents.js diff --git a/_posts/2021-07-20-homework-two/homework-two.Rmd b/_posts/2021-07-20-homework-two/homework-two.Rmd new file mode 100644 index 0000000..0fff4a4 --- /dev/null +++ b/_posts/2021-07-20-homework-two/homework-two.Rmd @@ -0,0 +1,45 @@ +--- +title: "Homework Two" +description: Armed Conflict Location & Event Data (ACLED) on Disorder Involving Journalists and Media Workers +author: Nathan Cote +date: 07-20-2021 +output: + distill::distill_article: + self_contained: false +draft: true +--- + +```{r LOAD DATA, include=FALSE} +library(tidyverse) +library(readxl) + journalists <- read_excel("../../_data/journalists_Jul02.xlsx") +``` + +# An Introduction to ACLED + +ACLED is a dataset for use in conflict analysis and crisis mapping. Each individual event in the dataset in an observation. The particular dataset that I have chosen for analysis pertains to events associated with disorder involving journalists and media workers. + +The question I will be answering is twofold. Firstly, what interaction between actors (for instance, events between rioters and civilians) is most prominent among all countries? Secondly, of those interactions, what event types are most prominent within those interactions? For instance, out of all countries where interactions between Civilians and Political Militias are the most prominent Interaction variable, within that what is the most prominent Event Type? + +First I will show you the variables in the dataset prior to tidying. + +# Column Names + +```{r Describe Data, echo=FALSE} + colnames(journalists) +``` + +The above variables provide varying levels of specificity. For my analysis, I do not need all of them on display. For instance, I am not interested in `Latitude`, `Longitude`, or `Geo_Precision` when `Country` will suffice for my purposes. + +Prior to tidying the data, there are `r nrow(journalists)` rows, which may still be the case after tidying. On the other hand, there are `r ncol(journalists)`, which will be reduced. + +I will now reduce the data to the variables I may need. + +```{r Variable Reduction, echo=FALSE} +select(journalists, 5, 7,8, 9, 12, 15, 17) +``` +There are two variables which I will take out, but have left in for clarity at the moment. `ACTOR1` AND `ACTOR2` are both included in the `INTERACTION` column. In the codebook for the ACLED dataset, the actors are given a single digit number for representation. For instance, Political Militias are given the code "4", while Civilians are given the code "7". In the `INTERACTION` column, this would be represented as "67". Therefore, for my purposes, I can take out the `ACTOR1` and `ACTOR2` columns. During my analysis, I may recode the numerical representations in `INTERACTION` to more descriptive language where one does not need to reference the codebook for base understanding. I may remove `SUB_EVENT_TYPE` as well. I have included it for potential further insight. If there are not too many variations of `SUB_EVENT_TYPE` I may combine it with `EVENT_TYPE`. + +# Pending Further Analysis, Homework 3 + +My immediate task entering Homework 3 will be finding out the summations of event combinations in `INTERACTION`, and then putting them into a proportion table. I will also do the same, but will group them by country and then using the proportion table afterward. I will do the same with `EVENT_TYPE`. diff --git a/_posts/2021-07-20-homework-two/homework-two.html b/_posts/2021-07-20-homework-two/homework-two.html new file mode 100644 index 0000000..a9a5599 --- /dev/null +++ b/_posts/2021-07-20-homework-two/homework-two.html @@ -0,0 +1,1540 @@ + + + + + + + + + + + + + + + + + + + + Homework Two + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+

Homework Two

+ + +

Armed Conflict Location & Event Data (ACLED) on Disorder Involving Journalists and Media Workers

+
+ +
+ + Nathan Cote + +
07-20-2021 +
+ +
+

An Introduction to ACLED

+

ACLED is a dataset for use in conflict analysis and crisis mapping. Each individual event in the dataset in an observation. The particular dataset that I have chosen for analysis pertains to events associated with disorder involving journalists and media workers.

+

The question I will be answering is twofold. Firstly, what interaction between actors (for instance, events between rioters and civilians) is most prominent among all countries? Secondly, of those interactions, what event types are most prominent within those interactions? For instance, out of all countries where interactions between Civilians and Political Militias are the most prominent Interaction variable, within that what is the most prominent Event Type?

+

First I will show you the variables in the dataset prior to tidying.

+

Column Names

+
+
 [1] "ISO"              "EVENT_ID_CNTY"    "EVENT_ID_NO_CNTY"
+ [4] "EVENT_DATE"       "YEAR"             "TIME_PRECISION"  
+ [7] "EVENT_TYPE"       "SUB_EVENT_TYPE"   "ACTOR1"          
+[10] "ASSOC_ACTOR_1"    "INTER1"           "ACTOR2"          
+[13] "ASSOC_ACTOR_2"    "INTER2"           "INTERACTION"     
+[16] "REGION"           "COUNTRY"          "ADMIN1"          
+[19] "ADMIN2"           "ADMIN3"           "LOCATION"        
+[22] "LATITUDE"         "LONGITUDE"        "GEO_PRECISION"   
+[25] "SOURCE"           "SOURCE_SCALE"     "NOTES"           
+[28] "FATALITIES"       "TIMESTAMP"
+
+

The above variables provide varying levels of specificity. For my analysis, I do not need all of them on display. For instance, I am not interested in Latitude, Longitude, or Geo_Precision when Country will suffice for my purposes.

+

Prior to tidying the data, there are 12460 rows, which may still be the case after tidying. On the other hand, there are 29, which will be reduced.

+

I will now reduce the data to the variables I may need.

+
+
# A tibble: 12,460 x 7
+    YEAR EVENT_TYPE  SUB_EVENT_TYPE  ACTOR1 ACTOR2 INTERACTION COUNTRY
+   <dbl> <chr>       <chr>           <chr>  <chr>        <dbl> <chr>  
+ 1  2018 Violence a~ Attack          Unide~ Civil~          37 Kosovo 
+ 2  2018 Protests    Peaceful prote~ Prote~ <NA>            60 Kosovo 
+ 3  2018 Violence a~ Attack          Unide~ Civil~          37 Kosovo 
+ 4  2018 Violence a~ Attack          Unide~ Civil~          37 Kosovo 
+ 5  2019 Protests    Peaceful prote~ Prote~ <NA>            60 Kosovo 
+ 6  2019 Violence a~ Attack          Priva~ Civil~          78 Kosovo 
+ 7  2019 Violence a~ Attack          Unide~ Civil~          37 Kosovo 
+ 8  2020 Violence a~ Attack          Unide~ Civil~          37 Kosovo 
+ 9  2020 Strategic ~ Arrests         Polic~ Civil~          17 Kosovo 
+10  2020 Violence a~ Attack          Unide~ Civil~          37 Kosovo 
+# ... with 12,450 more rows
+
+

There are two variables which I will take out, but have left in for clarity at the moment. ACTOR1 AND ACTOR2 are both included in the INTERACTION column. In the codebook for the ACLED dataset, the actors are given a single digit number for representation. For instance, Political Militias are given the code “4”, while Civilians are given the code “7”. In the INTERACTION column, this would be represented as “67”. Therefore, for my purposes, I can take out the ACTOR1 and ACTOR2 columns. During my analysis, I may recode the numerical representations in INTERACTION to more descriptive language where one does not need to reference the codebook for base understanding. I may remove SUB_EVENT_TYPE as well. I have included it for potential further insight. If there are not too many variations of SUB_EVENT_TYPE I may combine it with EVENT_TYPE.

+

Pending Further Analysis, Homework 3

+

My immediate task entering Homework 3 will be finding out the summations of event combinations in INTERACTION, and then putting them into a proportion table. I will also do the same, but will group them by country and then using the proportion table afterward. I will do the same with EVENT_TYPE.

+
+ + +
+ +
+
+ + + + + +
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*\n * Licensed under the Apache License, Version 2.0 (the "License");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an "AS IS" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n */\n\nd-title {\n padding: 2rem 0 1.5rem;\n contain: layout style;\n overflow-x: hidden;\n}\n\n@media(min-width: 768px) {\n d-title {\n padding: 4rem 0 1.5rem;\n }\n}\n\nd-title h1 {\n grid-column: text;\n font-size: 40px;\n font-weight: 700;\n line-height: 1.1em;\n margin: 0 0 0.5rem;\n}\n\n@media(min-width: 768px) {\n d-title h1 {\n font-size: 50px;\n }\n}\n\nd-title p {\n font-weight: 300;\n font-size: 1.2rem;\n line-height: 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HTMLElement{static get is(){return'd-article'}constructor(){super(),new MutationObserver((e)=>{for(const t of e)for(const e of t.addedNodes)switch(e.nodeName){case'#text':{const t=e.nodeValue;if(!Si.test(t)){console.warn('Use of unwrapped text in distill articles is discouraged as it breaks layout! 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+ + +
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    +
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