Data Wrangling in R with dplyr and tidyr

Conclusion

You did it! Congratulations!

Course Sections

Congratulations!

Congratulations! You’ve reached the end of this course. 🎉

We hope you’ve enjoyed learning about data wrangling with dplyr and tidyr, and how these powerful tools can help you work with data in R.

Self-Assessment

If you’ve gone through the content and completed the exercises, you can check off the following tasks:

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Your Learning Journey

You’ve made wonderful progress and took a brave step into the world of data wrangling with R. Here’s a recap of what you’ve learned:

Review
  • How to select columns, filter rows, and create new columns using dplyr functions.
  • How to arrange and group data for analysis.
  • How to join multiple datasets using dplyr functions.
  • How to reshape data between wide and long formats using tidyr functions.

Next Steps

With your new skills in data wrangling, you’re well-equipped to work with data in R and perform a wide range of data manipulation tasks. Here are some ideas to continue your learning journey:

  • Practice your skills with real-world datasets to gain hands-on experience.
  • Explore more advanced topics in data wrangling, such as working with dates and times, handling missing data, and creating custom functions.
  • Dive deeper into the documentation for dplyr and tidyr to discover more functions and features.

    • Keep Learning

    Data wrangling is a fundamental skill for anyone working with data. The more you practice and experiment with different datasets, the more comfortable you’ll become with dplyr and tidyr. Don’t be afraid to try new things and explore the vast world of data manipulation!

    Thank You

    Thank you for taking this course! We hope you’ve enjoyed learning about data wrangling with dplyr and tidyr. If you have any feedback or questions, feel free to reach out. Happy wrangling! 🚀