IPL DATA EXPLORATION
DATA ANALYSIS OF COVID-19 IN INDIA
This project utilized Python for exploratory data analysis of COVID-19 in India to gain insights into the impact of the pandemic on the country and the current status of vaccination efforts.
DATA VISUALIZATION OF NEXTFLIX
This project visualizes the top 10 Netflix movies/TV shows by country using Tableau, analyzing their rating and release year. Its filtered data by type, title, rating, duration, and release year.
GLOBAL COVID-19 VISUALIZATION
The project involves using Tableau to visualize COVID-19 pandemic data worldwide, highlighting top 10 countries in confirmed cases, death rates, and recovery statistics.
SALES DATA VISUALIZATION
This project analyze sales data for H1 2015 using statistical techniques to identify key sales drivers and provide recommendations to improve performance.
CUSTOMER ANALYSIS REVENUE DASHBOARD
This project involves creating a Tableau dashboard to analyze customer revenue for different product categories (e.g., TV, furniture) by demographics such as age, gender, and location in the US and Canada to find effective solutions.
LONDON BUS SAFETY DATA VISUALIZATION
This project analyze transport for London's quarterly reports using Tableau on incidents in the London bus network, providing insights and visualizations to enhance stakeholder understanding of safety issues.
CRIME MAPPING ANALYSIS
The Project involved visualizing San Francisco's crime rate by neighborhood to identify areas with higher crime rates. Insights can be used by city planners, law enforcement, or residents for safety purposes.
AMAZON WEB SCRAPING
This project uses Python's Beautiful Soup library for web scraping to extract information from Amazon India's website on all Apple iPhone 14 Pro products and determine the best option.
DATA ANALYSIS OF SURVEY
This project summarizes survey results on audience interest in data science topics using Matplotlib and gain insights for informed decisions on data science education and programming based on the percentage of respondents interested in different topics.
DESALINATION PLANT BIBLIOMETRIX ANALYSIS
The project uses R and bibliometric analysis to examine research publications on desalination plants to reveal trends in research topics, influential authors/institutions, and citation networks.
TWITTER VISUALIZATION