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Desafío EDA Univ

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Desafío EDA Univ

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About this activity

Quiz sobre EDA y herramientas

Created by

DvSystem Tecnología
DvSystem Tecnología
Ecuador

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Desafío EDA Univ
 

Desafío EDA UnivOnline version

Quiz sobre EDA y herramientas

by DvSystem Tecnología
1

Qué estructura de datos usa Pandas para almacenar tablas de datos 2D?

2

¿Qué describe() devuelve en Pandas?

3

¿Qué función agrupa datos por una categoría y calcula agregados?

4

¿Qué herramienta es ideal para gráficos estáticos y control total?

5

¿Qué biblioteca facilita gráficos estadísticos elegantes sobre DataFrames?

6

¿Qué opción de Plotly facilita dashboards interactivos?

7

¿Qué mide la matriz de correlación en un conjunto de datos?

8

¿Qué técnica visual se usa para comparar la distribución por categorías en Seaborn?

9

¿Qué describe una gráfica de parejas (pairplot) en Seaborn?

10

¿Qué función de Pandas devuelve el conteo de nulos por columna?

Explicación

DataFrame es la estructura 2D de Pandas para tablas, mientras Series es 1D.

describe() genera medidas como media, desviación y min/max de columnas numéricas.

groupby permite agrupar por una columna y aplicar agregaciones.

Matplotlib es la base para gráficos estáticos y control detallado.

Seaborn ofrece gráficos estadísticos con estilo predefinido.

Plotly Express permite gráficos interactivos y dashboards.

La correlación cuantifica qué tan relacionadas están las variables numéricas.

Boxplot muestra distribución y resumen por categoría.

Pairplot visualiza relaciones entre variables y la distribución en la diagonal.

isnull().sum() detecta y cuenta valores nulos por columna.

 
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