Data Exploration using R
RStudio 1.1.4
10 Videos | 44m - Includes Assessment
- Earns a Badge
The tool of choice for data science professionals in every modern industry and field, the programming language R has become an essential skill for statistical computing and graphics. It both creates reproducible high-quality analyses and takes advantage of superior graphic and charting capabilities. In this 10-video Skillsoft Aspire course, you will explore data in R by using the dplyr library, including working with tabular data, piping data, mutating data, summarizing data, combining datasets, and grouping data. Key concepts covered in this course include using the dplyr library to load data frames; selecting subsets of data by using dplyr; and how to filter tabular data using dplyr. You will also learn to perform multiple operations by using the pipe operator; how to create new columns with the mutate method; and how to summarize data using summary functions. Next, use the dplyr join functions to combine data. Then learn how to use the group by method from the dplyr library, and how to query data with various dplyr library functions.
WHAT YOU WILL LEARN
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use the dplyr library to load data frames
select subsets of data using dplyr
filter tabular data using dplyr
perform multiple operations using the pipe operator
create new columns using the mutate method -
summarize data using summary functions
use the dplyr join functions to combine data
use the group_by method from the dplyr library
query data using various dplyr library functions
IN THIS COURSE
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1.Course Overview1m 32sUP NEXT
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2.Creating dplyr Tables5m 18s
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3.Selecting Subsets4m 26s
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4.Filtering Tabular Data4m 1s
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5.Piping Data4m 11s
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6.Mutating Data3m 55s
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7.Summarizing Data3m 49s
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8.Combining Datasets4m 57s
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9.Grouping Data3m 24s
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10.Exercise: Querying Data4m 28s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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