Amazon Sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
US Current Population Survey Analysis
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Latest Version:
1.1
Descriptive analysis and visualization of key variables from the US Basic Monthly CPS (Current Population Survey).
Product Overview
The Current Population Survey (CPS) is a monthly survey of households conducted by the United States Census Bureau. It provides a comprehensive data, across geography and demographics, on the labor force, employment, wages, and job characteristics. This solution provides descriptive analysis and easy-to-understand visualization of the Basic Monthly CPS dataset: number of households, members per household, unemployment rate, employment population ratio, labor force participation, family income, non-response rate, employment details (hourly/weekly earnings, major occupation, industry) across geography (state, CSA, CBSA, county) and demographics (education, gender, race, age). This solution can assist government departments, policy consultants, and businesses to quickly generate key insights relevant to understand the U.S. economy.
Key Data
Version
By
Type
Model Package
Highlights
Descriptive analysis and easy-to-understand visualization of key variables like number of households, members per household, unemployment rate, employment population ratio, labor force participation, family income, non-response rate, employment details (hourly/weekly earnings, major occupation, industry) across geography (state, CSA, CBSA, county) and demographics (education, gender, race, age).
This solution can assist government departments, policy consultants, and businesses to quickly generate key insights relevant to understand the U.S. economy.
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Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
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Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Model Realtime Inference$500.00/inference
running on any instance
Model Batch Transform$500.00/hr
running on ml.m5.large
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Realtime Inference$0.115/host/hr
running on ml.m5.large
SageMaker Batch Transform$0.115/host/hr
running on ml.m5.large
Model Realtime Inference
For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on the number of inferences generated by the ML Model per month. Typically, the number of inferences is the same as the number of successful calls to the real-time endpoint. For models that support multiple inputs in a request, sellers have the option to meter the number of inputs processed in a request to count generated inferences.
Additional infrastructure cost, taxes or fees may apply.
Usage Information
Model input and output details
Input
Summary
The input must be a '.zip' file. Each zipped file corresponds to the CPS data collected for one month. Link to download the Basic Monthly CPS data: https://www.census.gov/data/datasets/time-series/demo/cps/cps-basic.html . This solution is optimized for the data dictionary provided in this link: https://www2.census.gov/programs-surveys/cps/datasets/2021/basic/2021_Basic_CPS_Public_Use_Record_Layout_plus_IO_Code_list.txt
Input MIME type
application/zipSample input data
Output
Summary
The output will be a zipped file ('.zip' format) consisting of an Excel workbook (with the name 'inputfilename_results.xlsx') with the following sheets. The sample output file attached here is for the May 2021 Basic Monthly CPS dataset. The description of the output excel sheet is available here .
Limitations for output type
• All metrics reported are not adjusted for seasonality and geography
• The logic of calculating the metrics is drawn from documents published by the U.S. Census Bureau
• Key references: https://www2.census.gov/programs-surveys/cps/methodology/PublicUseDocumentation_final.pdf , Data Dictionary.
Output MIME type
application/zipSample output data
Sample notebook
Additional Resources
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Support Information
US Current Population Survey Analysis
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