Analyzing-Exchange-Rate-Of-Real

This repository contains a data analysis tool that perform ETL operations and produces Explanatory Data Visualizations comparing the exchange rate of american dolar and brazilian real over the years. For the purpose of visualization has been used a lot of techniques like Gestalt Principles, Storytelling and Pre-Attenive attributes to improve the quality of graphs.

Setup

1. Git Clone the repo

   git clone https://github.com/thiagomaiasouto/Exploring-eBay-Car-Sales-Data.git
   

2. Go to project root folder

   cd Exploring-eBay-Car-Sales-Data
   

3. Setup conda env in terminal

   conda create --name YOUR_ENVIROMENT_NAME python=3.8 --file requeriments.txt
   
   conda activate YOUR_ENVIROMENT_NAME
   

4. Run the code in the terminal

   python run.py
   

5. To execute pylint and analyze the code format

   pylint ./scripts
   

6. After usage

   conda deactivate
   conda remove --name YOUR_ENVIROMENT_NAME --all
   

The repository tree

├── README.md
├── requeriments.txt
├── .pylintrc
├── config.yml
├── __init__.py
├── run.py
├── .gitignore
|
├── data
│   ├── ECB_FX_USD-base.csv          
│   ├── Foreign_Exchange_Rates.csv              
│   ├── processed_data.csv  
|          
├── log
│   ├── etl.log
|   ├── plots.log
|   ├── run.log
|               
├── notebooks
│   └── Exchange_Rate_of_Real.ipynb
|
├── test
|   ├── __init__.py
|   ├── test_etl.py
|   |
|   ├── data_tests
|       └── euro-daily-hist_1999_2020.csv
|
├── visualizations
│   ├── plot1.png
|   ├── plot_notebook.png
|   └── plot_script.png
|
└── scripts
    ├── etl.py           
    ├── plots.py                
    └── utils.py

Authors

• Arthur Cunha
• Thiago Maia

Credits

The overall structure of the project was heavily influenced by this article.