{"version":"1.0","type":"rich","title":"Multidimentional Poverty Measure","description":"This example summarizes the content of a poverty dataset, showing the first ten rows and basic table statistics like row count, column count, and file size. It loads its data from a Kaggle CSV file containing multidimensional poverty measures for various countries and regions. The visualization uses D3 version 5 to fetch and parse the data, then displays the summary as plain text in a terminal-like interface with a black background and green monospaced font. The code relies on D3’s `csv` and `csvFormat` functions to handle the data, with the presentation styled through custom CSS.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/d8d3a0e54c6d4c34923c7e908da1a15e?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}