{"version":"1.0","type":"rich","title":"Word Sentiment Distribution","description":"A pie chart visualizes the distribution of sentiment categories—negative, positive, and neutral—for words in a Russia-Ukraine Twitter dataset, using d3.pie and d3.arc to generate SVG arcs with percentage labels. A d3.scaleOrdinal maps colors to sentiments, while a d3.legendColor legend identifies categories. Data loads as CSV from GitHub, and the chart emphasizes proportional percentages rather than raw counts.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/96c45b38f3854b1abcbdcbf2e305339f?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}