Visualization of Corona Impact on World Using Worldometers.info as source

Linear Regression model for Bike sharing dataset

Developing Supervised Learning Models Using pandas, numpy, sklearn, seaborn, matplotlib

Output windows volume peak meter to a midi device (eg. novation launchkey pads)

Amazon Product Review Sentiment Analysis

This is my first ever data dashboard, where I analyzed road accident trends for the years 2021 and 2022 using Excel. The project helped me develop data visualization and analysis skills by identifying key patterns related to accident severity, road conditions, weather effects, and vehicle types.

This is 68th batch of data science

https://zeeshanrafi.github.io/10512770.github.io-Australian-weather-visualizatation/index.html

A data analytics project exploring the World Happiness Report to uncover insights using Python, Pandas, Matplotlib, and Seaborn.

A data analysis project to identify fraudulent bank transactions using Excel and Power BI.

React app to visualize the spread of Coronavirus

📊 I built an interactive Power BI dashboard by combining the Orders and Order Details tables to analyze overall sales performance. The dashboard includes a 🥧 pie chart for category-wise distribution, 📌 KPIs to highlight total sales and quantities, 🎛️ filter slicers for dynamic exploration, and insights into the 🏆 top 5 states.

The visualisation has used preattentive attributes such as shape, size, orientation, colour, the position and Gestalt principles such as proximity, similarity, continuity throughout the process. For the final analysis, all the three graphs were connected together. In the first graph, the continuity principle was used to show the trend in the par…