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Using data analysis to compare and explore temperature trends of Delhi with that of the World.

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Exploring Weather Trends - Data Analysis

This was my first DA project focused on exploring a dataset and making visualizations using Python's Matplotlib. (Completed on 9th December, 2019)

Description

The goal was to create a visualization and prepare a write up describing the similarities and differences between global temperature trends and temperature trends in the closest big city to where I live (in my case, Delhi).

Understanding the patterns in the data I made observations and used different techniques to further analyze the data.

Usage

Python needs to be installed for this to work. It can be downloaded from this website. Python right now comes in two stable versions namely, Python v3.7 and Python v2.7.

After installing Python, you'll need to install some modules that are required using the command line.

pip install pandas
pip install matplotlib

Observations

Please find the observations from the project in the project report.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT

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Using data analysis to compare and explore temperature trends of Delhi with that of the World.

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