Data Visualization

In this post, the author explores the impact of COVID-19 on different countries using data visualization techniques. The focus is on countries like China, South Korea, Italy, the USA, and India. The analysis highlights trends in confirmed cases, active cases, recoveries, and deaths, shedding light on the effectiveness of measures taken by each country. The post emphasizes the importance of early action and proper containment strategies in controlling the spread of the virus

In this blog post, the author provides a beginner’s guide to exploratory data analysis (EDA) and feature engineering using the Titanic disaster dataset. They explain the importance of EDA in understanding data and its impact on data modeling and predictions. The post includes code snippets and visualizations to analyze various features such as age, gender, passenger class, fare, and embarked port. The author also discusses correlations between different variables and demonstrates the process of feature engineering by creating a new variable called Family Size. The post concludes by emphasizing the significance of EDA in gaining insights and improving data modeling