This repository contains a Jupyter Notebook demonstrating a beginner's exploration of data analysis using Python libraries. The project uses a Netflix movies dataset to analyze movie durations and their potential relationship with release years.
Gain hands-on experience with data analysis tools: Python, Jupyter Notebooks, pandas, and matplotlib. Explore data cleaning, manipulation, and visualization techniques. Investigate a potential relationship between movie release year and movie duration.
Netflix_Beginner_project.ipynb: Jupyter Notebook performing the following steps: Import necessary libraries (pandas, matplotlib) Load the Netflix movies dataset Perform basic data cleaning and exploration Analyze movie durations Create a scatter plot of movie duration vs. release year to visualize potential trends Draw conclusions based on the analysis
This initial analysis did not reveal a clear relationship between movie release year and movie duration within the Netflix movie dataset.
Explore other interesting questions from the Netflix dataset. Analyze different data sources and delve deeper into data analysis techniques. Build a portfolio of data analysis projects showcasing acquired skills.