Application User Guide
Layout
The application has 3 main sections:
- Top Navigation Bar
- Side Panel
- Main Panel
Top Navigation Bar
The top navigation bar has 2 main sections with drop-down selections:
Exploratory Data Analysis
- Choropleth Map
- Radar Chart
- Slope Graph
- Bubble Plot
Statistical Analysis
- Correlation Analysis
- Statistical Plots
- Hierarchical Clusting
Side Panel
The side panel provides the various toggling parameters for different visualisation within the application. Some might come with brief instructions on how to operation the application.
Main Panel
The main panel is where the visualisation will be shown.
Home - Landing Page of the Application
The landing page introduces the motivation of the projects and outline the contributors.
Exploratory Data Analysis
The Exploratory Data Analysis module provides users with various tools to comb through the data and to obtain insights.
Choropleth Map
The choropleth map provides a board overview and the spread of different indicators across the geospatial dimension. User can select the Year and Indicator on the side panel to display on the world map.
The map is also interactive, hence, you will be able to zoom into the country that you are looking for.
Radar Chart
The radar chart provides a comparison between different selected countries based on the selected set of indicators. User can select from the side panel the Year of the data, the set of Indicators to compare, and the different Countries to compare among each other.
An overlay will be added for each country.
Slope Graph
The slope graph provides a time-series analysis and comparison of the selected indicator for select set of countries.
Users can select a range of Year, the Indicator to trend, and the set of Countries to compare among each other via the side panel.
Bubble Plot
Note: the bubble plot is animated and therefore, the initial plot and subsequent plot (via Submit button) takes around 20 seconds to load
The bubble plot provides the relationship between the 3 selected indicators for each of the country. An animation is also added to look at the changes for the 3 selected indicators across the years (from 2015 to 2020).
Users can choose an indicator for the 3 different parameters: X-Axis, Y-Axis, and Size of the bubble, and also choose the set of Countries to compare among each other.
Statistical Analysis
The Statistical Analysis module provides users with various statistical techniques to deep dive into the dataset and uncovering hidden patterns and trends.
Correlation Analysis
The correlation plot provides users a measurement of the strength of association between the selected set of indicators.
Users are able to select the Year, the set of Indicators to correlate, filter the Countries, change the Correlation Method, the way NA is handles via NA Actions, the Plot Method and how the correlation is orders via Reorder Correlation.
Statistical Plots
The statistical plots provides users with relevant statistical details via a combination of a scatter plot, box plot, and a violin plot. The plot is also publication-ready courtesy of the ggstatsplot library.
Users are able to select the different Years and the Indicator to compare among the different regions.
Hierarchical Clustering
Hierarchical Clustering allows users to cluster similar countries together via the selected indicator in the selected year.
Users are able to select the Year of interest, the set of Indicators for clustering, the Distance Method used, the Hierarchical Clustering Method, the number of Clusters for the countries and indicators.