Datasets in R: Joining & Visualizing Data

IN THIS COURSE

• 1.  Course Overview
  1m 57s
  In this video, you’ll learn more about the course and the instructor. In this course, you’ll learn to combine data in data frames or tibbles based on the values in columns. You’ll also learn the merge function in R to perform join operations, inner join, left outer join, right outer join, and the full outer join. You'll also implement joins using functions from the tidyverse. Then, you’ll learn the plotting systems available in R. FREE ACCESS
• 2.  Joining Data Frames Using merge()
  11m 1s
  In this video, you’ll watch a demo.  In this demo, you’ll see how you can perform joining operations in R in this demo. You’ll first invoke the rm function and pass in list = ls to get empty the memory. Next, you’ll work with data spread across two different files. The first part of the data is in the file life_exp.csv. FREE ACCESS
• 3.  Joining Tibbles Using Joins and Filtering Joins
  8m 54s
  In this video, you’ll watch a demo.  In this demo, you’ll learn you can also join data frames together using functionality that’s part of the dplyr package. The dplyr package is a part of tidyverse. You’ve already loaded dplyr into your current R program. Now, you’ll read the original CSV files back in, in the tibble format. FREE ACCESS
• 4.  Creating Histograms and Density Curves
  11m 33s
  In this video, you’ll watch a demo.  In this demo, you’ll learn data exploration and analysis aren't complete until you visualize your data. Visualizations allow you to view the shape of your data and relationships that exist in your data. You’ll learn how to visualize your data in R. First, you'll invoke the rm function passing in list is equals ls to get rid of objects in the current R memory. FREE ACCESS
• 5.  Using Plots and Charts to Visualize Data
  10m 54s
  In this video, you’ll watch a demo.  In this demo, you’ll explore more visualizations in R and plot data using both ggplot and the base graphics libraries. You’ll see a special function in R called attach that attaches a set of R objects to the R search path. In the data in bank loan data frame, you’ll attach the search path. Now you can reference variables in this data frame without specifying the data frame. FREE ACCESS
• 6.  Course Summary
  2m 23s
  In this video, you’ll summarize what you’ve learned in the course. In this course, you’ve learned how to merge data for the same entity located across multiple data frames. You also learned about relationships that exist in our data using different types of visualizations. You also performed join operations on tibbles and data frames. You used the merge function, which is part of the base R package. FREE ACCESS