Analysis and Visualization of Smart House Data Set in Python Programming Language

Keywords:
Data Analysis, Data Visualization, Python Programming Language, Smart House

Abstract:
Before making any predictions, it is important to have insight into the data from a given data set. Finding links between variables that may be both intriguing and helpful, as well as identifying glaring errors and better understand patterns within the data are all made possible by having insight into the data. Data scientists examine, study, and enumerate the key features of data sets using exploratory data analysis. Research is where data visualization techniques are most frequently used.In this paper, data preparation from a given data set and data visualization using the Python programming language are presented. Machine learning and other advanced analysis and data modelling can be performed on the prepared data

CITATION:

IEEE format

Copy to clipboard

H. Stefanović, A. Đokić, “Analysis and Visualization of Smart House Data Set in Python Programming Language,” in Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2024, pp. 128-134. doi:10.15308/Sinteza-2024-128-134

APA format

Copy to clipboard

Stefanović, H., Đokić, A. (2024). Analysis and Visualization of Smart House Data Set in Python Programming Language. Paper presented at Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2024-128-134

BibTeX format
Download

RefWorks Tagged format
Download