Statistical interpretation and data visualization are two important tools used to analyze data. Statistical interpretation involves using statistical methods to draw conclusions from data. This includes analyzing the data to identify patterns, trends, and relationships. Data visualization involves creating visual representations of data, such as graphs, charts, and maps. These visualizations can be used to better understand the data and to communicate the results of the analysis. By combining statistical interpretation and data visualization, researchers can gain a better understanding of the data and make more informed decisions.
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This repository contains data analysis project that aims statistical interpretation and data visualization.
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