This is the repository of a simple dashboard exploring Humanitarian crisis in Myanmar, which was developed by R programming. The necessary data are extracted from latest available sources by web scrapping with R, and they were saved as CSV files in ‘data folder’ after manipulating. In this app, Shiny app will use those saved CSV files to run the dashboard as web scrapping will not be done as part of the app. So that, we can avoid unnecessary bugs due to missing website links from ongiong updates by organizations. The dashboard can be accessible at https://soehtutaung.shinyapps.io/Humanitarian-dashboard_Myanmar/ on request.
(Note: Being a free cloud server account, the provided link may expire after limited time. This is my very first interactive dashboard with primary focus on programming with R Shiny, rather than visualization techniques. I used simple instructions as learned from Shiny and Youtube.)
Most recent information are extracted by web-scrapping with R:
| Source | Description | URL | Extracted CSV file |
|---|---|---|---|
| UNDP | Nation-wide survey in 2023 on household income | Link | undp_data.csv |
| UNHCR | Updated information about IDPs | Link | idp_data.csv |
| UNFPA | Migration data from 2019 inter-census | Link | idp_data.csv (appended) |
| HARP | Vulnerability assessment in 2019 | Link | harp_data.csv |
| ACLED | Monitored data on civilian Fatalities from 2014 to date | Link | acled_civ.csv |
Data sources and extracted CSV files
There are three pages in the dashboard for different administrative levels to display relevant information. A menu on the right side is links to my LinkedIn and GitHub profiles.
Using data from inter-census results of UNFPA, IDP information from UNHCR and recent income assessment from UNDP, we organized this page. In this page, you can customize regions, total and IDP population size to view following graphs:
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A scatter plot displaying IDP population size and changes in poverty rate from 2017 to 2024
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A choreograph map displaying changes in poverty rate
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A bar plot comparing total and IDP population size
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A summary table and two boxes with overall regional situation
ACLED regularly produces data to monitor conflicts, and its coverage for Myanmar spans from 2014 to the present day. You can select the period of interest to see the trend and highlighted areas of civil fatalities due to conflicts in Myanmar.
(Tips: Fatalities beyond 2021 are mostly due to armed conflict after coup d’état)
A comprehensive assessment conducted by HARP in 2019 made vulnerability scores available at township level. You can customize this full page map by selecting region of interest and adjusting parameters, such as ‘Vulnerability band’ and ‘Vulnerable population’.
