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README.md
TB_cases_US.csv
Tuberculosis-USA.png

Data Science Dojo
Copyright (c) 2019 - 2020


Level: Intermediate
Recommended Use: Regression
Domain: Healthcare


US Tuberculosis Dataset

The US Tuberculosis Dataset contains information about the number of reported cases of Tuberculosis (TB) in each state of the US in 2018.

The information in the dataset can be used to understand how TB has spread in each state over the course of 4 quarters and to predict how the disease may spread in the future. The dataset can be used to identify states under threat from the disease so that appropriate countermeasures can be taken.

This data set is recommended for exploring data visualization techniques (for example, making a heatmap as shown in the image) and implementing regression models for prediction tasks.


Data Dictionary

Column Number Attribute Attribute Description Data Type
1 Reporting Area Area under consideration Text
2 MMWR Year Year under consideration Year
3 MMWR Quarter Quarter under consideration Numeric
4 Tuberculosis, Current quarter Number of TB Patients in the Current Quarter Numeric
5 Tuberculosis, Current quarter, flag Data point present/absent Text
6 Tuberculosis, Previous 4 quarters Min Number of minimum TB Patients in the last year Numeric
7 Tuberculosis, Previous 4 quarters Min, flag Data point present/absent Text
8 Tuberculosis, Previous 4 quarters Max Number of maximum TB Patients in the last year Numeric
9 Tuberculosis, Previous 4 quarters Max, flag Data point present/absent Text
10 Tuberculosis, Cum 2018 Total number of TB Patients in 2018 Numeric
11 Tuberculosis, Cum 2018, flag Data point present/absent Text
12 Tuberculosis, Cum 2017 Total number of TB Patients in 2017 Numeric
13 Tuberculosis, Cum 2017, flag Data point present/absent Text

Acknowledgement

This data set has been sourced from the US Government's Open Data Initiative.
The Open Data Initiative page mentions the following as the original source of the data set:
Centers for Disease Control and Prevention