Public Health Insurance Status
Why Use This Data Source In Your Models?
Public Health Insurance Status
Instantly Download this Data Using Our Automated Feature Engineering Tool.
Automated Data Profiling
Suggested Treatment:
Grain Transformation:
Source:
US Census Bureau
Release:
2020 ACS 1-Year Experimental Data
Units:
Civilian noninstitutionalized population
Frequency:
Point in Time 2020
Suggested Treatment:
No treatments recommended.
Grain Transformation:
Data is able to be distributed by time but not by geography. The roll up method used is Sum.
Auto Correlation Analysis:
Trend Analysis:
Distribution Analysis:
Statistics (Pearson P/ df, lower => more normal)
Data Notes:
2020 ACS 1-Year Experimental Data
Citation:
U.S. Census Bureau, 2020 American Community Survey 1-Year Experimental Estimates
Designed For Data Scientists and Analysts
400+ Data Sources
Use our platform to aggregate, normalize, and profile open source and premium control data. Spend less time finding and wrangling data, and more time building efficient and feature-rich machine learning data pipelines.
Data Science Treatments
Instantly apply industry-standard data science treatments and transformations, including (but not limited to) Differencing, Lead/Lag, Box Cox. Easily manipulate data across different time and geographic grains.
Auto Discovery
Our Patent Pending iterative testing engine allows you to upload your target variable, and the platform will test for possible statistical relationships across all available data sources. Saving you time and removing analyst bias.
Data Ingestion
Easily integrate your Ready Signal data to the data science platform of your choice. Connect directly to Ready Signal through our API or using one of our pre-built data connectors or download directly in Excel or CSV format.
