Weather Analysis

Analyzing Singapores Weather!

---

About

This project analyzes Singapores Weather Data. Looking at trends between years and comparing different properties of the data.

Tabel of contents

• Yearly Temperature - this looks at how the average temperture each year changes
• Rainfall vs Temperature - testing to see if more rainfall leads to lower temperatures
• Rainfall vs Wind Speed - testing to see if mroe rainfall leads to higher winds on average
• Prediction - Created a model to predict temperatures
• Predicting Temperatures - Input features for your model day and have the model predict it's temperature!

Motivation

This project was done for Horizons Arcana being held in Singapore. Naturally needing an idea, why not use Singapores own weather data lol.

I've done similar data science projects a year or two ago, and this project was also a way for me to refresh on that knowledge too!

Tech stack

Everything here was coded using Python. All the data analysis and iniital graphs was done with Jupyter Notebooks, the notebooks are present in the notebooks folder.

For displaying the data, streamlit is the obvious solution. Thats present in the streamlit folder.

Othet than that some other folders:

1. dataset: Stores CSV & JSON files
2. media: Stores static graphs
3. screenshots: Screenshots of the app for the README
4. models: Stores the models

I also used plotly for the interactive graphs present

Getting started

The project is hosted on Streamlit Cloud. Click Here for the link.

Setting it up yourself

Setting it up

1. Clone the repository

git clone https://github.com/danizdes/exoplanet-analysis

2. When your in the repository, create a virtual environment

python -m venv env

3. Activate it

On Linux/Macos:

source env/bin/activate

On windows:

env\Scripts\activate

Once you've installed it up install the requirements file

pip install -r requirements.txt

Running the code

Now go over to all the notebooks present in the notebooks directory and run all the cells one by one. The order doesn't matter. If you want to use a newer version of weather data replace the dataset/weather_clean.csv file with a newer version. Keeping in mind to keep the format of the file.

Running the Site

Now in the terminal simply run:

streamlit run streamlit/Introduction.py

Ensure you run this from the base directory!

And there you go!

AI Usage

All the code was coded by myself. While I used AI for feedback and debugging(encountered errors, etc) or when I needed to know more about exactly how a library that I wasnt familiar with worked, even then, I still never just copy pasted any code but used it as a reference, similar to looking at documentation.