You can access the ShinyApp here.
This project is a spin-off of a co-authored publication with Dennis Hammerschmidt that analyzes patterns of violence during conflict elections in Afghanistan in 2005.
While the geo-spatially disaggregated data for the original publication is based on UCDP data, this ShinyApp is based on ACLED data and shows how violence that includes the Taliban develops starting 180 days up to the election in 2019.
You can access the material for past talks on this ShinyApp here:
Event | |||
---|---|---|---|
Research plus "Datenvisualisierung 2.0" | Slides | ||
CorrelAid Workshop 2020 "Shiny" | Slides | Code | |
CorrelCon 2020 "Talking Shiny" | Slides | Code | Recording |
OODM 2020 "Interactive Science" | Slides | Code |
This repository contains:
├── README.md
├── app.R
├── code
│ ├── data.R
│ ├── helper.R
│ └── theme_custom.R
├── conflict-elections.Rproj
├── data
│ ├── 1900-01-01-2020-03-22-Afghanistan.csv
│ └── data.RData
├── figures
│ └── shinyapp-conflict.png
├── markdown
│ ├── about.md
│ └── git.md
├── material_CorrelAid_Workshop
│ ├── example_ShinyApp_ggplot
│ │ └── app.R
│ ├── example_ShinyApp_shinydashboard_ggplot
│ │ └── app.R
├── material_CorrelCon_2020
│ ├── example_ShinyApp_ggplot
│ │ └── app.R
│ ├── example_ShinyApp_shinydashboard_ggplot
│ │ └── app.R
│ ├── example_ShinyApp_echarts4r
│ │ └── app.R
│ └── example_ShinyApp_shinydashboard_echarts4r
│ └── app.R
└── material_OODM_CorrelAid
├── example_ShinyApp
│ └── app.R
└── example_ShinyApp_shinydashboard
└── app.R
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