🎓 Welcome Back to Being Significant and to Our Mater R Programming Series!

In this video, I’ll guide you through using the mutate function from the dplyr package to edit existing columns in your dataset. We’ll work with multiple real-world datasets, including UDISE+ school profile, enrolment, and school facility data, to demonstrate how you can modify existing variables efficiently.

📚 What You'll Learn: Data journey with Rohit.

1. How to Use mutate to Edit Columns: A detailed, step-by-step guide to modifying existing columns in your dataset.
2. Working with UDISE+ Data: Learn to apply mutate for data manipulation using UDISE plus school profile, enrolment, and facility data.
3. Common Transformations: Examples of how to perform essential transformations on existing columns.

🔗 Resources:

Sample1.csv: [ Ссылка ]
del_enr1: [ Ссылка ]
DCF Questionnaire: [ Ссылка ]
DSP Schema: [ Ссылка ]
UDISE+ Data Download: [ Ссылка ]

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