
The data represents a one percent sample drawn from the full 1990 census. This was made possible through the Public Use Microdata Samples (PUMS). Furthermore, the few continuously-measured variables were discretized. Task: The dataset can be used to study causal discovery methods. Summary: Size of dataset: 2458285 x 68 Task: Causal Discovery Problem Data Type: Discrete Data Dataset Scope: Standalone Dataset Ground Truth: Unknown Graph Temporal Structure: Static Data License: CC0 (see census.gov) Missing Values: No Missing Values Missingness Statement: There are no missing values. Features: See the file variable_description_US_Census_1990.txt for a detailed description. Files: USCensus1990.csv: dataset variable_description_US_Census_1990.txt: feature details
Population Data
Population Data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
