Welcome to my data analysis portfolio! This repository contains a collection of data analysis projects showcasing my skills and experience as a data analyst. Each project explores real-world datasets, employs various data analysis techniques, and presents actionable insights.
Project 1: House Property Sales Time Series
- Objective: Analyze sales data to identify trends and patterns, optimize strategies, and analyze the price.
- Tools: Python, Pandas, Matplotlib, Seaborn
- Key Skills: Data cleaning, exploratory data analysis (EDA), data visualization
- Data: House Property Sales Time Series
Project 2: Analysis of Netflix Reviews
- Objective: The Netflix Reviews dataset contains information about user reviews submitted on the Google Play Store. It includes details such as the review ID, username, review content, review score, thumbs-up count, review creation version, review timestamp, and app version. This report aims to provide insights and analysis based on the dataset.
- Tools: Python, Pandas, Matplotlib, Seaborn
- Key Skills: Data cleaning, exploratory data analysis (EDA), data visualization
- Data: Netflix Reviews [DAILY UPDATED])
