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A Data Driven Study of Sleep and Associated Factors
In this project, we will explore the relationship between sleeping patterns (sleeping duration, and quality of sleep) and various demographic variables (age, and gender) and lifestyle factors (physical activity level, daily steps, stress level, heart rate and so on) using the Sleep Health and Lifestyle dataset obtain from Kaggle. We will be using the data visualizations and statistical interpretations to uncover the meaningful insights into how lifestyle and personal characteristics influence sleep health.
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Data cleaning
R practice
Geospatial Analysis of Affected Adolescents in DRC
A brief overview of the administrative structure of the Democratic Republic of the Congo (DRC), as well as a summary of Congolese adolescents at risk and/or affected by various types of infections, including sexually transmitted infections and those related to living conditions.
Nhiệm vụ tuần 4
Lê Thị Ngọc Ánh
P-Value in Chemistry: Alcohol Content and Wine Quality
Test Hypothesis: Alcohol content differ significantly between low and high quality wines
Correlation HW