Features
dataframeanalysisetltabular
Pros and Cons
Ventajas
- + Powerful data structures (DataFrame, Series)
- + Excellent for tabular data manipulation
- + Integration with NumPy and Matplotlib
- + Support for multiple formats (CSV, Excel, SQL)
- + Fast vectorized operations
Desventajas
- - High memory consumption with large datasets
- - API can be inconsistent
- - Not ideal for big data (use Polars/Dask)
- - Moderate learning curve
Use Cases
- Data cleaning and preparation
- Exploratory data analysis (EDA)
- ETL pipelines
- Reports and aggregations
- Feature engineering for ML