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### Links | ||
# census-error-analyzer | ||
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Analyze the margin of error in U.S. census data | ||
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## Installation | ||
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```bash | ||
pipenv install census-error-analyzer | ||
``` | ||
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## Usage | ||
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Import the library. | ||
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```python | ||
import census_error_analyzer | ||
``` | ||
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### Test statistical difference | ||
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Are two values, considering their respective margins of error, statistically different? The Census Bureau advises that this test be conducted for all comparisons. This test answers the question and returns `True` or `False`. | ||
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Accepts two lists, each expected to be a pair with a value and its margin of error. | ||
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```python | ||
us_medianage, us_medianage_moe = 37.9, 0.1 | ||
nyc_medianage, nyc_medianage_moe = 38.4, 0.1 | ||
census_error_analyzer.is_statistically_different( | ||
(us_medianage, us_medianage_moe), (nyc_medianage, nyc_medianage_moe) | ||
) | ||
True | ||
``` | ||
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The precise difference can also be accessed. According to the Census Bureau, values greater than 1.0 can be considered to be statistically significant. | ||
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```python | ||
census_error_analyzer.statistical_difference( | ||
(us_medianage, us_medianage_moe), (nyc_medianage, nyc_medianage_moe) | ||
) | ||
3.535533905932737 | ||
``` | ||
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### Get statistical range | ||
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The minimum and maximum values in an estimate's statistical range given its margin of error. Expects two arguments: The estimate first. The margin of error second. | ||
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```python | ||
census_error_analyzer.statistical_range(us_medianage, us_medianage_moe) | ||
37.8, 38.0 | ||
``` | ||
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### Convert to alternative confidence levels | ||
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The margins of error published by the Census are at the 90% confidence level. They can be converted to the 95% and 99% levels using tools in this library. | ||
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```python | ||
census_error_analyzer.convert_to_95_percent_confidence(3778) | ||
4501.446808510638 | ||
census_error_analyzer.convert_to_99_percent_confidence(3778) | ||
5925.373860182372 | ||
``` | ||
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## References | ||
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This module was designed to conform with the Census Bureau's April 18, 2018, presentation ["Using American Community Survey Estimates and Margin of Error."](https://www.documentcloud.org/documents/6162551-20180418-MOE.html) | ||
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Prior to publication, the code was reviewed by Brian Dumbacher, a mathematical statistician in the U.S. Census Bureau's Economic Statistical Methods Division. | ||
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## Links | ||
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* Docs: [palewi.re/docs/census-error-analyzer/](https://palewi.re/docs/census-error-analyzer/) | ||
* Issues: [github.com/datadesk/census-error-analyzer/issues](https://github.com/datadesk/census-error-analyzer/issues) | ||
* Packaging: [pypi.python.org/pypi/census-error-analyzer](https://pypi.python.org/pypi/census-error-analyzer) | ||
* Testing: [github.com/datadesk/census-error-analyzer/actions](https://github.com/datadesk/census-error-analyzer/actions) |
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