Explore World Development Indicators Data
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Documentation for package ‘wdiexplorer’ version 0.1.2
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 |