
The X Sentiment Dataset table contains 162,973 rows and 3 columns, with the column names being clean_text and category and their respective types being String and Float64. This dataset can be used to analyze sentiment in Twitter data, providing valuable insights into public opinion and sentiment analysis.
Turn Price Transparency Data into Actionable Market Intelligence
Healthcare organizations are using machine-readable price transparency data to uncover real market dynamics. Gigasheet's breakthrough analytic platform helps you translate that data into clear, decision-ready insights.
Analyze negotiated rates across payers and providers, identify pricing variation, benchmark against the market, and surface opportunities to improve contracts and reduce costs. This sample dataset is a preview of what’s possible.
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