"Let them find me," Elias said. "At least I'll exist."
: Estimates of net private and public wealth.
Elias frowned. He opened the raw file, scrolling past the headers: Country, Year, Populations, Average Income, Top 1% Share...
Elias watched the script he had written continue to run. It was designed to aggregate the data. It was summing the total wealth of the world. wid_data.csv
These weren't empty rows. These were people.
There, in the 'Net Worth' column, instead of a number, was a string of text: NULL_VOID .
: It allows you to visualize how inequality has shifted through major events like the Industrial Revolution, World Wars, and modern globalization. "Let them find me," Elias said
This file generally contains long-term time-series data (often dating back to 1820) on economic indicators across various countries. Key metrics you might find include:
The door to his apartment burst open. Three men in tactical gear, no insignias.
Because it is a standard comma-separated values (CSV) file, it can be opened with basic spreadsheet software like Microsoft Excel or Google Sheets. However, for large-scale analysis, it is more commonly handled using programming languages like or R . Loading Data in R World Inequality Database: Home - WID He opened the raw file, scrolling past the
The missing 0.1%. The gap that economists wrote off as a rounding error. It was all here, in the NULL_VOID rows.
Upload Complete.
Elias sat back. He ran a filter. SELECT * FROM wid_data WHERE Net_Worth = 'NULL_VOID' .