A dataset analyzing the sentiment of digital asset adoption in 2023.
Dataset Description
This dataset is a collection of adoption behavior across various select digital assets. The data is sourced from a random sample of 5000 unique survey respondents, representative of the United State population. This open-source data can be used by researchers, investors, and other interested parties to gain insights into adoption benchmarks for digital asset adoption during this period.
Cross-sectional data is a type of data that is collected at a single point in time and is representative of a population or a group at that particular moment.
The dataset was designed and distributed by Bitmason, a leader in Bitcoin adoption, development, and infrastructure research.
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