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 [10] Conclusion

  [1] Next steps.srt

 [1] Introduction

  [1] Welcome.srt

  [2] What you need to know.srt

  [3] Using the exercise files.srt

 [2] 1. Tidy Data

  [1] What is tidy data.srt

  [2] Variables, observations, and values.srt

  [3] Common data problems.srt

  [4] Using the tidyverse.srt

 [3] 2. Working with Tibbles

  [1] Building and printing tibbles.srt

  [2] Subsetting tibbles.srt

  [3] Filtering tibbles.srt

 [4] 3. Importing Data into R

  [1] What are CSV files.srt

  [2] Importing CSV files into R.srt

  [3] What are TSV files.srt

  [4] Importing TSV files into R.srt

  [5] Importing delimited files into R.srt

  [6] Importing fixed-width files into R.srt

  [7] Importing Excel files into R.srt

  [8] Reading data from databases and the web.srt

 [5] 4. Data Transformation

  [1] Wide vs. long datasets.srt

  [2] Making wide datasets long with gather().srt

  [3] Making long datasets wide with spread().srt

  [4] Converting data types in R.srt

  [5] Working with dates and times in R.srt

 [6] 5. Data Cleaning

  [1] Detecting outliers.srt

  [2] Missing and special values in R.srt

  [3] Breaking apart columns with separate().srt

  [4] Combining columns with unite().srt

  [5] Manipulating strings in R with stringr.srt

 [7] 6. Data Wrangling Case Study Coal Consumption

  [1] Understanding the coal dataset.srt

  [2] Reading in the coal dataset.srt

  [3] Converting the coal dataset from long to wide.srt

  [4] Segmenting the coal dataset.srt

  [5] Visualizing the coal dataset.srt

 [8] 7. Data Wrangling Case Study Water Quality

  [1] Understanding the water quality dataset.srt

  [2] Reading in the water quality dataset.srt

  [3] Filtering the water quality dataset.srt

  [4] Water quality data types.srt

  [5] Correcting data entry errors.srt

  [6] Identifying and removing outliers.srt

  [7] Converting temperature from Fahrenheit to Celsius.srt

  [8] Widening the water quality dataset.srt

 [9] 8. Data Wrangling Case Study Social Security Disability Claims

  [1] Understanding the Social Security Disability dataset.srt

  [2] Importing the Social Security Disability dataset.srt

  [3] Making the Social Security Disability dataset long.srt

  [4] Formatting dates in the Social Security Disability dataset.srt

  [5] Handling fiscal years in the Social Security Disability dataset.srt

  [6] Widening the Social Security Disability dataset.srt

  [7] Visualizing the Social Security Disability dataset.srt

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