ANÁLISE DE MOVIMENTAÇÃO DE EXPORTAÇÕES NOS PORTOS DO CEARÁ

1. 1Collect export data from Ceará ports using Python libraries like Pandas
2. 2Clean and preprocess the data to remove inconsistencies and missing values
3. 3Visualize the data using Matplotlib or Seaborn to identify trends and patterns
4. 4Apply statistical models to forecast future export movements
5. 5Compare the results with existing research to validate the findings

Data analysts and scientists on a team can benefit from this project to gain insights into export trends and patterns in Ceará ports. It can also inform business decisions and policy-making

💡 Understanding export trends and patterns in Ceará ports can inform business decisions and policy-making

🚢💡 Analyze export movement in Ceará ports with Python to inform business decisions and policy-making