Data-Analysis

Fórmula Tesla UFMG's data analysis software and repository

🏗️ Estrutura do Repositório

📂 Data-Analysis/
├── 📂 2020_data_analysis/         # Software em JS feito pela equipe em 2020 para análise de dados. Não usado.
├── 📂 data/                       # Arquivos CSV com os dados coletados
│   ├── 📂 dados_telemetria/       # CSVs coletados de testes de rua do carro
├── 📂 misc/                       # Arquivos python e Jupyter gerais
├── 📂 notebooks/                  # Notebooks Jupyer para analise dos dados da telemtria (testes de rua do carro)
└── 📂 relatorios/                 # Arquivos LaTeX para relatórios gerais da equipe

Setting Up Development Environment (Python)

• install python 3.12.4 https://www.python.org/downloads/release/python-3124/

  • make sure the python.exe is placed in the PATH during the installation wizard

• check that the installation was successful: open CMD and run python -V. It must show the version installed.

• clone / pull the repository

• go to folder containing project

• connect FUG and PUMP to computer. Make sure they show up in the Operating System's device manager.

• make sure the setup.json file has all the configurations used.

Now we need to do the following:

• Create Pyhton virtual environment
• Activate the virtual env
• Install the packages in this virtual environment
• Run the Jupyer Notebook inside this virtual environment

To do all those things, do the following:

• python -m venv myEnv

• cd to myEnv/Scripts (cd myEnv/Scripts/)

• .\activate

• cd back to project root folder (cd ../../)

• pip install -r requirements.txt

• check that all modules were installed: pip freeze

• choose the newly created virtual environment in the VS Code lower right corner

• run the program: python main.py

• to exit the virtual environment afterwards: deactivate

• & C:/dev/tesla/Data-Analysis/myEnv/Scripts/Activate.ps1

python -m pyflowchart test.py -o test.html

OU

cd myEnv/bin/ .\activate cd ../../