chinmayeeverma9 Goto Github PK

-exploratory-data-analysis-new-york-city-airbnb-listings-

Querying in MySQL using self joins, CTE , procedures, group by to view the data required Data Cleaning Data Analysis (Q/A) Data Transformation for dashboard visualization

cardiovascular-disease-analysis-through-r

Objective: To explore various risk factors for cardiovascular diseases in adults Methodology: Analysis and visualisation using different R libraries Findings: An active lifestyle lowers cardiovascular disease risk. High cholesterol, glucose, age, BMI, and MAP correlate positively.

chinmayeeverma9

Config files for my GitHub profile.

eda-plamerpenguins-in-r

nashville-housing-data-cleaning-using-sql

Objective: To enhance the Nashville housing dataset for informed decision-making. Methodology: Employ rigorous SQL data cleaning, advanced queries, and transformations for data integrity and accuracy. Findings: Achieved a refined dataset, ensuring reliability for strategic decision-making in the Nashville housing sector.

tata-power-ltd-stock-analysis-using-msexcel

Objective: To conduct a comprehensive stock analysis for TATA Power Ltd. using MS Excel. Methodology: Employed MS Excel for in-depth analysis, highlighting financial trends, risk assessment, and performance metrics. Findings: Provided valuable insights essential for strategic decision-making in TATA Power Ltd. stock investments.