Data Science Lab

1. Assignment 5
1. Analyze customer reviews: Build a program that reads a CSV file containing customer
reviews for a product or service. Use Pandas to clean the text, perform sentiment analysis,
and visualize trends in sentiment over time. Dataset
link:https://www.kaggle.com/datasets/datafiniti/consumer-reviews-of-amazon-products
2. Analyze global temperature data: Build a program that reads a CSV file containing
temperature data from various cities around the world. Use Pandas to clean the data,
calculate averages and anomalies. Dataset
link:https://www.kaggle.com/berkeleyearth/climate-change-earth-surface-temperature-data
3. Analyze sports data: Build a program that reads a CSV file containing sports data,
including player statistics, team records, and game results. Use Pandas to calculate
performance metrics, perform trend analysis, and visualize patterns in sports data over
time. Dataset link: https://www.kaggle.com/datasets/bryanb/fifa-player-stats-database
4. Analyze ecommerce data: Develop a program that reads a CSV file containing
ecommerce data, including sales, orders, and customer information. Use Pandas to
calculate sales metrics, perform customer segmentation, and visualize trends in
ecommerce activity. Dataset link: https://www.kaggle.com/carrie1/ecommerce-data
5. Analyze medical data: Build a program that reads a CSV file containing medical data,
including patient information, diagnoses, and treatments. Use Pandas to clean the data,
perform statistical analysis, and visualize trends in patient outcomes. Dataset link:
https://www.kaggle.com/sulianova/cardiovascular-disease-dataset