Data Analysis

Project Overview:

Developed a Python-based data analysis project to process and analyze a large dataset of weather information. The project entailed filtering and manipulating data from a 15,000-row dataset, focusing on specific weather parameters across different locations and years. This work emphasized abilities in data manipulation, statistical analysis, and Python programming.

Methodology:

• Utilized Python and Pandas for data filtering and analysis, focusing on essential weather parameters.
• Conducted statistical calculations to extract insights about weather trends, particularly in snowfall and wind speed.
• Generated various CSV files to illustrate different analytical perspectives.
• Ensured the reliability of results through rigorous testing and validation of data outputs.

Challenges Faced:

• Managing and processing a large dataset efficiently.
• Performing accurate and meaningful statistical analyses.
• Presenting data in a clear and comprehensible manner.

Results:

• Effective processing and analysis of the dataset, resulting in multiple informative CSV files.
• Gained valuable insights into weather patterns.
• Enhanced proficiency in Python and Pandas for data analysis purposes.