This assignment demonstrated how to: - Load and explore the Titanic dataset - Merge datasets using multiple variables - Group and manipulate data using dplyr - Create custom functions in R - Use "apply" functions - Debug functions using trace() and recover() These techniques are fundamental for data analysis and programming in R.

R Assignment (6 questions)

This documents include the following assignment together Assignment 1: Impating data from difet soures Assignment 2. Merging datasets io 2 to 3 variables Assignment 3. grouply $ %% + Assignmet 4. How to use tracel $ recover () Asssignment 5. find a away to use the function sapply( and vapply((), rvariants of lapply that produces vectors, matices,and arrays as output,intead of lists map() and mapply() which itereate over multiple input data structue in parallel Assignment 6. Create custom mean,median, mode and quantiles using apply, sapply, vapply, and lapply

An interactive dashboard from job posting dataset

Masengesho Donatien 20251MBI014 Submited a work on dapplying various functions do manage data and process information in R

all class given assignment are combined in one data analysis work.

Hirwa Fabrice 20251MBI050

Combined Assignments

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