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Create the Streamlit app that can analyze and forecast the weather for the next days.

Home Page: https://tomatoft-weather-dashboard-and-forecasting-homepage-wqbt9g.streamlit.app/Weather_forecast?fbclid=IwAR3XLQsYB4ul98gnzCzpgoYmbH261f_gEz3cUBAqwtNWjpNGOpt8SYHYEmg

License: MIT License

Python 6.69% Jupyter Notebook 93.31%
data-analytics lstm selenium-python streamlit time-series-forecasting weather-forecasting

weather-analysis-and-forecasting-app's Introduction

Weather-Dashboard-and-Forecasting

Introduction

This is the weather analysis and forecasting app official repository. In this project, we crawl the weather data from Ha Noi, Da Nang and Ho Chi Minh city which is 3 big cities in 3 different region of Vietnam. Ha Noi represented for the North Region, Da Nang represented for the Middle Region and Ho Chi Minh City represented for the South Region. We collect the data from 02/01/2022 to 29/11/2022. You can try the demo in this link.

The source of the data is here: https://www.wunderground.com/

Setup process

Here is some setup part and how to use it.

First you will need to clone this repository.

git clone https://github.com/TomatoFT/Weather-Analysis-and-Forecasting-App

Change to the right direction

cd Weather-Analysis-and-Forecasting-App

You may need to install the virtual environment. Using the virtual environemt will make you easier to install the dependencies. In this project, i use anaconda as my virtual environment So you can run the command below to set up the virtual environment

# Create the virtual environment
conda create --name wafa
# Enter the virtual environment
conda activate wafa
# Install pip for conda
conda install -c anaconda pip
# Exit the environment (If you want to exit the virtal environment)
conda deactivate

Install the depedencies

pip install -r requirements.txt

I am reconstruct the file so the rest of it will be in the next several days.

weather-analysis-and-forecasting-app's People

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