The London Housing Data Analysis project is a Python application designed to read and analyze housing data for London from CSV files. Utilizing the powerful Pandas library, this project performs data cleaning, manipulation, and statistical analysis to uncover trends and insights in the housing market.
Working on this project has provided valuable learning experiences in:
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Data Handling with Pandas: Reading, cleaning, and manipulating data.
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Statistical Analysis: Computing summary statistics and identifying trends.
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Problem-Solving and Debugging: Enhancing logical thinking and error handling skills.
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Data Import: Read police data from CSV files.
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Data Cleaning: Handle missing values and outliers to ensure data quality.
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Data Manipulation: Transform and organize data for analysis.
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Statistical Analysis: Compute summary statistics and identify trends.
To run this project, you need to have Python and the following libraries installed:
- pandas
You can install the required libraries using pip: pip install pandas