상세정보

1. Preface 2. Introduction a. The Role of Data Wrangling i. Introduction to R 1. Open Source 2. Flexibility 3. Community ii. R Basics 1. Assignment & Evaluation 2. Vectorization  3. Getting help 4. Workspace 5. Working with packages 6. Style guide 
 3. Working with Different Types of Data in R a. Dealing with Numbers i. Integer vs. Double ii. Generating sequence of non-random numbers  iii. Generating sequence of random numbers iv. Setting the seed for reproducible random numbers v. Comparing numeric values  vi. Rounding numbers b. Dealing with Character Strings i. Character string basics ii. String manipulation with base R  iii. String manipulation with stringr  iv. Set operatons for character strings c. Dealing with Regular Expressions i. Regex Syntax ii. Regex Functions iii. Additional resources d. Dealing with Factors  i. Creating, converting & inspecting factors ii. Ordering levels iii. Revalue levels iv. Dropping levels e. Dealing with Dates i. Getting current date & time ii. Converting strings to dates  iii. Extract & manipulate parts of dates iv. Creating date sequences  v. Calculations with dates vi. Dealing with time zones & daylight savings vii. Additional resources 
 %  i. Pipe (%%) Operator ii. Additional Functions iii. Additional Pipe Operators iv. Additional Resources 
 7. Shaping & Transforming Your Data with R a. Reshaping Your Data with tidyr i. Making wide data long  ii. Making long data wide iii. Splitting a single column into multiple columns iv. Combining multiple columns into a single column v. Additional tidyr functions vi. Sequencing your tidyr operations vii. Additional resources b. Transforming Your Data with dplyr  i. Selecting variables of interest ii. Filtering rows  iii. Grouping data by categorical variables iv. Performing summary statistics on variables v. Arranging variables by value vi. Joining datasets vii. Creating new variables viii. Additional resources

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