Advanced Tools and Techniques Beyond Base R

Tidying Data and Analyzing Tidy Data 10 lectures 58:38 The Course Overview This video provides an overview of the entire course. Understanding Tidy Data This video aims to explain the properties of tidy data. • Understand the history of tidy data • State the properties of tidy data • Understand the advantages of tidy data Installing R Packages In this video, we will learn how to install R packages, which provide new functions and capabilities. • Understand R packages and the CRAN • Download and install R packages • Loading R packages for use in a session or script Reading Data from Files with readr and readxl In this video, we will learn how to import data from common file formats into an R session. • Loading data from delimited files with readr • Loading data from Microsoft Excel files with readxl • Understanding tibbles Tidying Data with tidyr In this video, we will learn how to use the tidyr package to turn messy datasets into tidy ones. • Gather a variable into a single column • Split variables into separate columns • Split and combine variables in columns Writing Code Pipelines with magrittr In this video, we will learn how to use the magrittr package to write readable and effective R pipelines. • Understand the pipeline approach to data analysis tasks • Use the magrittr pipe function to write pipelines • Rewrite scripts to take advantage of magrittr pipes Manipulating Strings with stringr In this video, we will learn how to use the stringr package to manipulate strings. • Join strings together • Padding and truncating strings • Find and replace patterns within strings Manipulating Factors with forcats This video aims to explain how to use the forcats package to manipulate factors. • Reorder factor levels • Replace and combine factor levels • Remove unused factor levels Manipulating Dates and Times with Lubridate In this video, we will understand how to use the lubridate package to manipulate dates and times. • Understand date columns in tibbles • Extract the components of dates and times • Combine the components of dates and times Analyzing Data with dplyr and the split-apply-combine Strategy In this video, we will understand the powerful split-apply-combine strategy for data analysis and how to implement it with the dplyr package. • Understand the split-apply-combine strategy • Use dplyr’s verb functions for data manipulation • Splitting, manipulating and recombining data with dplyr Tidying Data and Analyzing Tidy Data. 10 lectures 58:38 The Course Overview This video provides an overview of the entire course. Understanding Tidy Data This video aims to explain the properties of tidy data. • Understand the history of tidy data • State the properties of tidy data • Understand the advantages of tidy data Installing R Packages In this video, we will learn how to install R packages, which provide new functions and capabilities. • Understand R packages and the CRAN • Download and install R packages • Loading R packages for use in a session or script Reading Data from Files with readr and readxl In this video, we will learn how to import data from common file formats into an R session. • Loading data from delimited files with readr • Loading data from Microsoft Excel files with readxl • Understanding tibbles Tidying Data with tidyr In this video, we will learn how to use the tidyr package to turn messy datasets into tidy ones. • Gather a variable into a single column • Split variables into separate columns • Split and combine variables in columns Writing Code Pipelines with magrittr In this video, we will learn how to use the magrittr package to write readable and effective R pipelines. • Understand the pipeline approach to data analysis tasks • Use the magrittr pipe function to write pipelines • Rewrite scripts to take advantage of magrittr pipes Manipulating Strings with stringr In this video, we will learn how to use the stringr package to manipulate strings. • Join strings together • Padding and truncating strings • Find and replace patterns within strings Manipulating Factors with forcats This video aims to explain how to use the forcats package to manipulate factors. • Reorder factor levels • Replace and combine factor levels • Remove unused factor levels Manipulating Dates and Times with Lubridate In this video, we will understand how to use the lubridate package to manipulate dates and times. • Understand date columns in tibbles • Extract the components of dates and times • Combine the components of dates and times Analyzing Data with dplyr and the split-apply-combine Strategy In this video, we will understand the powerful split-apply-combine strategy for data analysis and how to implement it with the dplyr package. • Understand the split-apply-combine strategy • Use dplyr’s verb functions for data manipulation • Splitting, manipulating and recombining data with dplyr The Course Overview This video provides an overview of the entire course. The Course Overview This video provides an overview of the entire course. The Course Overview This video provides an overview of the entire course. The Course Overview This video provides an overview of the entire course. This video provides an overview of the entire course. This video provides an overview of the entire course. Understanding Tidy Data This video aims to explain the properties of tidy data. • Understand the history of tidy data • State the properties of tidy data • Understand the advantages of tidy data Understanding Tidy Data This video aims to explain the properties of tidy data. • Understand the history of tidy data • State the properties of tidy data • Understand the advantages of tidy data Understanding Tidy Data This video aims to explain the properties of tidy data. • Understand the history of tidy data • State the properties of tidy data • Understand the advantages of tidy data Understanding Tidy Data This video aims to explain the properties of tidy data. • Understand the history of tidy data • State the properties of tidy data • Understand the advantages of tidy data This video aims to explain the properties of tidy data. • Understand the history of tidy data • State the properties of tidy data • Understand the advantages of tidy data This video aims to explain the properties of tidy data. • Understand the history of tidy data • State the properties of tidy data • Understand the advantages of tidy data Installing R Packages In this video, we will learn how to install R packages, which provide new functions and capabilities. • Understand R packages and the CRAN • Download and install R packages • Loading R packages for use in a session or script Installing R Packages In this video, we will learn how to install R packages, which provide new functions and capabilities. • Understand R packages and the CRAN • Download and install R packages • Loading R packages for use in a session or script Installing R Packages In this video, we will learn how to install R packages, which provide new functions and capabilities. • Understand R packages and the CRAN • Download and install R packages • Loading R packages for use in a session or script Installing R Packages In this video, we will learn how to install R packages, which provide new functions and capabilities. • Understand R packages and the CRAN • Download and install R packages • Loading R packages for use in a session or script In this video, we will learn how to install R packages, which provide new functions and capabilities. • Understand R packages and the CRAN • Download and install R packages • Loading R packages for use in a session or script In this video, we will learn how to install R packages, which provide new functions and capabilities. • Understand R packages and the CRAN • Download and install R packages • Loading R packages for use in a session or script Reading Data from Files with readr and readxl In this video, we will learn how to import data from common file formats into an R session. • Loading data from delimited files with readr • Loading data from Microsoft Excel files with readxl • Understanding tibbles Reading Data from Files with readr and readxl In this video, we will learn how to import data from common file formats into an R session. • Loading data from delimited files with readr • Loading data from Microsoft Excel files with readxl • Understanding tibbles Reading Data from Files with readr and readxl In this video, we will learn how to import data from common file formats into an R session. • Loading data from delimited files with readr • Loading data from Microsoft Excel files with readxl • Understanding tibbles Reading Data from Files with readr and readxl In this video, we will learn how to import data from common file formats into an R session. • Loading data from delimited files with readr • Loading data from Microsoft Excel files with readxl • Understanding tibbles In this video, we will learn how to import data from common file formats into an R session. • Loading data from delimited files with readr • Loading data from Microsoft Excel files with readxl • Understanding tibbles In this video, we will learn how to import data from common file formats into an R session. • Loading data from delimited files with readr • Loading data from Microsoft Excel files with readxl • Understanding tibbles Tidying Data with tidyr In this video, we will learn how to use the tidyr package to turn messy datasets into tidy ones. • Gather a variable into a single column • Split variables into separate columns • Split and combine variables in columns Tidying Data with tidyr In this video, we will learn how to use the tidyr package to turn messy datasets into tidy ones. • Gather a variable into a single column • Split variables into separate columns • Split and combine variables in columns Tidying Data with tidyr In this video, we will learn how to use the tidyr package to turn messy datasets into tidy ones. • Gather a variable into a single column • Split variables into separate columns • Split and combine variables in columns Tidying Data with tidyr In this video, we will learn how to use the tidyr package to turn messy datasets into tidy ones. • Gather a variable into a single column • Split variables into separate columns • Split and combine variables in columns In this video, we will learn how to use the tidyr package to turn messy datasets into tidy ones. • Gather a variable into a single column • Split variables into separate columns • Split and combine variables in columns In this video, we will learn how to use the tidyr package to turn messy datasets into tidy ones. • Gather a variable into a single column • Split variables into separate columns • Split and combine variables in columns Writing Code Pipelines with magrittr In this video, we will learn how to use the magrittr package to write readable and effective R pipelines. • Understand the pipeline approach to data analysis tasks • Use the magrittr pipe function to write pipelines • Rewrite scripts to take advantage of magrittr pipes Writing Code Pipelines with magrittr In this video, we will learn how to use the magrittr package to write readable and effective R pipelines. • Understand the pipeline approach to data analysis tasks • Use the magrittr pipe function to write pipelines • Rewrite scripts to take advantage of magrittr pipes Writing Code Pipelines with magrittr In this video, we will learn how to use the magrittr package to write readable and effective R pipelines. • Understand the pipeline approach to data analysis tasks • Use the magrittr pipe function to write pipelines • Rewrite scripts to take advantage of magrittr pipes Writing Code Pipelines with magrittr In this video, we will learn how to use the magrittr package to write readable and effective R pipelines. • Understand the pipeline approach to data analysis tasks • Use the magrittr pipe function to write pipelines • Rewrite scripts to take advantage of magrittr pipes In this video, we will learn how to use the magrittr package to write readable and effective R pipelines. • Understand the pipeline approach to data analysis tasks • Use the magrittr pipe function to write pipelines • Rewrite scripts to take advantage of magrittr pipes In this video, we will learn how to use the magrittr package to write readable and effective R pipelines. • Understand the pipeline approach to data analysis tasks • Use the magrittr pipe function to write pipelines • Rewrite scripts to take advantage of magrittr pipes Manipulating Strings with stringr In this video, we will learn how to use the stringr package to manipulate strings. • Join strings together • Padding and truncating strings • Find and replace patterns within strings Manipulating Strings with stringr In this video, we will learn how to use the stringr package to manipulate strings. • Join strings together • Padding and truncating strings • Find and replace patterns within strings Manipulating Strings with stringr In this video, we will learn how to use the stringr package to manipulate strings anipulating Dates and...