BIG-DATA-ANALYSIS-OF-US-TRAVEL-PATTERNS

—-----------------------------------------------------------------------------------------------------------------------

The Jupyter Notebook titled "BIG DATA ANALYSIS OF US TRAVEL PATTERNS" focuses on analyzing travel behavior across the United States. It begins by importing essential Python libraries such as pandas, numpy, and matplotlib for data manipulation and visualization. The dataset is loaded, and an initial exploratory data analysis (EDA) is conducted to understand its structure, identify missing values, and summarize key statistics. The notebook also addresses data cleaning by handling missing entries, filtering irrelevant information, and ensuring consistency for accurate analysis. Various analytical techniques are applied to identify trends in travel patterns, including popular destinations, peak travel times, and demographic preferences. Visualization tools like graphs and charts are used extensively to present data insights clearly and effectively. The notebook concludes with a summary of findings and offers recommendations based on the observed travel trends.

—-----------------------------------------------------------------------------------------------------------------------

5004CMD2425JANMAY/BIG-DATA-ANALYSIS-OF-US-TRAVEL-PATTERNS

About

Resources

Stars

Watchers

Forks

Releases

Languages