# Downloading the Full IDS Data

    library(wbids)

The `wbids` package provides two ways to download the complete International Debt Statistics (IDS) dataset.

With `ids_bulk()`, you need to download and combine multiple Excel files:

    # Step 1: Get list of available files
    files <- ids_bulk_files()

    # Step 2: Download each file
    data_list <- lapply(files$file_url, ids_bulk)

    # Step 3: Combine all data
    full_data <- rbind(data_list)

With `ids_get_ed()`, you get everything in one step:

    full_data <- ids_get_ed("debt_statistics")

The `ids_get_ed()` function is faster because:

- Downloads one optimized file instead of multiple Excel files
- Uses Parquet format which is faster to read than Excel
- Data is already processed and ready to use

For most use cases, `ids_get_ed()` is the recommended approach due to its simplicity and performance benefits.