Saltar al contenido principal
InicioRData Manipulation with dplyr

Data Manipulation with dplyr

Delve further into the Tidyverse by learning to transform and manipulate data with dplyr.

Comience El Curso Gratis
4 Horas13 Videos44 Ejercicios
129.731 AprendicesTrophyDeclaración de cumplimiento

Crea Tu Cuenta Gratuita

GoogleLinkedInFacebook

o

Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.
Group¿Entrenar a 2 o más personas?Pruebe DataCamp para empresas

Preferido por estudiantes en miles de empresas


Descripción del curso

Say you've found a great dataset and would like to learn more about it. How can you start to answer the questions you have about the data? You can use dplyr to answer those questions—it can also help with basic transformations of your data. You'll also learn to aggregate your data and add, remove, or change the variables. Along the way, you'll explore a dataset containing information about counties in the United States. You'll finish the course by applying these tools to the babynames dataset to explore trends of baby names in the United States.
Empresas

Group¿Entrenar a 2 o más personas?

Obtenga acceso de su equipo a la biblioteca completa de DataCamp, con informes centralizados, tareas, proyectos y más
Pruebe DataCamp Para EmpresasPara obtener una solución a medida, solicite una demonstración.
  1. 1

    Transforming Data with dplyr

    Gratuito

    Learn verbs you can use to transform your data, including select, filter, arrange, and mutate. You'll use these functions to modify the counties dataset to view particular observations and answer questions about the data.

    Reproducir Capítulo Ahora
    Exploring data with dplyr
    50 xp
    Understanding your data
    50 xp
    Selecting columns
    100 xp
    The filter and arrange verbs
    50 xp
    Arranging observations
    100 xp
    Filtering for conditions
    100 xp
    Filtering and arranging
    100 xp
    The mutate() verb
    50 xp
    Calculating the number of government employees
    100 xp
    Calculating the percentage of women in a county
    100 xp
    Mutate, filter, and arrange
    100 xp
  2. 2

    Aggregating Data

    Now that you know how to transform your data, you'll want to know more about how to aggregate your data to make it more interpretable. You'll learn a number of functions you can use to take many observations in your data and summarize them, including count, group_by, summarize, ungroup, and slice_min/slice_max.

    Reproducir Capítulo Ahora
  3. 3

    Selecting and Transforming Data

    Learn advanced methods to select and transform columns. Also, learn about select helpers, which are functions that specify criteria for columns you want to choose, as well as the rename verb.

    Reproducir Capítulo Ahora
  4. 4

    Case Study: The babynames Dataset

    Work with a new dataset that represents the names of babies born in the United States each year. Learn how to use grouped mutates and window functions to ask and answer more complex questions about your data. And use a combination of dplyr and ggplot2 to make interesting graphs to further explore your data.

    Reproducir Capítulo Ahora

En las siguientes pistas

Científico de datos asociado en RAnalista de datos con RManipulación de datos con RDesarrollador R

Colaboradores

Collaborator's avatar
Amy Peterson

Audio Grabado Por

James Chapman's avatar
James Chapman
James Chapman HeadshotJames Chapman

Curriculum Manager, DataCamp

Ver Mas

¿Qué tienen que decir otros alumnos?

Únete a 13 millones de estudiantes y empeza Data Manipulation with dplyr hoy!

Crea Tu Cuenta Gratuita

GoogleLinkedInFacebook

o

Al continuar, acepta nuestros Términos de uso, nuestra Política de privacidad y que sus datos se almacenan en los EE. UU.