ADTA 5130
University Of North Texas
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ADTA 5130 Section 400 – Data Analytics I
- Exam (elaborations) • 12 pages • 2025
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kaisermosomi7
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Executive Summary
In this project, we analyzed how key factors impact on the housing price using a dataset with
20,437 observations and 17 variables including the property characteristics such as size, number
of bedrooms and bathrooms, condition and location. The purpose was to find features that can
express significant relationships and patterns in the data so that they can be of help to the
stakeholders in the real estate industry. The study then used statistical analysis, including
...
Exam (elaborations)
ADTA 5130 Section 400 – Data Analytics I
Last document update:
ago
Executive Summary In this project, we analyzed how key factors impact on the housing price using a dataset with 20,437 observations and 17 variables including the property characteristics such as size, number of bedrooms and bathrooms, condition and location. The purpose was to find features that can express significant relationships and patterns in the data so that they can be of help to the stakeholders in the real estate industry. The study then used statistical analysis, including ...
$16.09
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