March 2025
Intermediate to advanced
308 pages
7h 6m
Spanish
Content preview from DuckDB: en funcionamiento
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Capítulo 5. Realizar EDA con DuckDB
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Llegados a este punto, ya deberías dominar bastante bien los conceptos básicos de DuckDB. Has visto cómo cargar tus bases de datos DuckDB a partir de datos almacenados en formatos de archivo como CSV y Parquet, y también has aprendido a cargarlos desde servidores de bases de datos, como MySQL. En este capítulo, aplicaremos DuckDB en escenarios prácticos, utilizándolo para realizar análisis exploratorios de datos.
EDA es un enfoque para analizar y visualizar conjuntos de datos con el fin de resumir sus características principales. El objetivo clave del AED es comprender los patrones, tendencias y relaciones de los datos. En EDA, a menudo utilizamos las siguientes técnicas con nuestros datos:
- Resumen de datos
Utiliza estadísticas descriptivas (como media, mediana, desviación típica, etc.) para comprender la distribución del conjunto de datos.
- Visualización de datos
Utiliza bibliotecas como Matplotlib y Seaborn para trazar diversos tipos de gráficos (como gráficos de barras, de tarta, etc.) para inspeccionar visualmente la distribución de los datos y las relaciones entre los distintos tipos de datos.
- Identificación de tendencias
Identifica los patrones, las tendencias y las anomalías de dentro de los datos y proporciona información sobre los posibles factores que afectan a estas observaciones.
En este capítulo, aprenderás a utilizar ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.