R: Explore World Development Indicators Data

# Explore World Development Indicators Data

## Documentation for package ‘wdiexplorer’ version 0.1.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

add_group_info | Add grouping information of the WDI data to a metric summary
compute_diagnostic_indices | Compute the set of diagnostic indices
compute_dissimilarity | Compute dissimilarity between pair of countries Calculate pairwise dissimilarities and convert the output to matrix.
compute_temporal_features | Compute sequential temporal features
compute_trend_shape_features | Compute trend and shape features
compute_variation | Compute variation features
get_valid_data | Extract valid data from the WDI data Reports countries with no data point, countries with one data point, as well as years for which no data are available.
get_wdi_data | Download WDI data using the 'WDI' R package
pisa_data | PISA mathematics average scores
plot_data_trajectories | Plot of data trajectories
plot_metric_distribution | Plot distribution(s) of diagnostic metric(s)
plot_metric_linkview | Plot of diagnostic metrics linked to data trajectories
plot_metric_partition | Plot of metric values partitioned by grouping variable
plot_missing | Missingness plot of the indicator data
plot_parallel_coords | Plot of diagnostic metrics parallel coordinate plot
pm_data | PM2.5 air pollution data