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Create interactive maps using r Shiny and Leaflet to study global performance on the World Bank's Statistical Capacity Indicators. Data cleaning has been done in Python and data is available in data file

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Statistical Capacity Indicators Analysis (R Shiny App)

Create interactive maps using r Shiny and Leaflet to study global performance on the World Bank's Statistical Capacity Indicators.

Link to Interactive Dashboard: https://jkuypers.shinyapps.io/Shiny_Choropleth_SCI/

SCI measure's a country's capacity for statistical output.

The cleaning was done using Python (SCI_Cleaning.py).

The raw & cleaned data are available for download in their respective files.

Two cleaned files are provided:

SCI_Melted.csv: dataframe used for the choropleth map (indicator types presented in same column)

SCI_Melted_Table: dataframe used for the table (indicator types presented as columns)

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Create interactive maps using r Shiny and Leaflet to study global performance on the World Bank's Statistical Capacity Indicators. Data cleaning has been done in Python and data is available in data file

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