Data Manipulation With Dplyr in R
Introduction:
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1. A straightforward tutorial in data wrangling with one of the most powerful R packages - dplyr.
2. As a data analyst, you will spend a vast amount of your time preparing or processing your data.
3. The goal of data preparation is to convert your raw data into a high quality data source, suitable for analysis.
4. More often than not, this process involves a lot of work. The dplyr package contains the tools that can make this work much easier.
5. The first section covers the five core dplyr commands.
6. These commands are: filter, select, mutate, arrange and summarise.
7. You will need this commands practically every time when you work with dplyr.
8. They are used to subset data frames, compute new variables, sort data frames, compute statistical indicators and so on.
9.Here’s a few real life scenarios of their utilization:
What you'll learn
Filter data frames using various conditions
Select and remove data frame columns (variables)
Sort data frames by column values
Create new variables from the existing ones
Compute summary statistics for our data frame
Other useful operations (count data fame rows, select top rows, select rows at random etc.)
Chaining dplyr commands to write powerful data manipulation code
Joining data frames (five joining types)
Combining dplyr with ggplot2 to create meningful charts
Requirements
Basic R programming knowledge
Who this course is for:
People who want to become R analysts
Students and statisticians who want to learn R
People who want to learn the fundamentals of data manipulation using R
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