Ujian Akhir Semester 2 Prodi: Sains Data Mata Kuliah: Data Science Programming Kelompok 2 "Zain Iqbal Saputra(52240024)" "Isnaini Nur Hasanah(52240005)" "Dwi Sri Yanti M.(52240030)" "Mohammad Riyadh(52240018)" "Olivia Meilinda(52240011)" "Luthfi Akhyar Hasibuan(52240014)" "M. Alfayed Safaad(52240009)"

Packages, Data Import, and Tidyverse Basics

Data wrangling is the process of cleaning, transforming, and organizing raw data into a structured format suitable for analysis. This step involves handling missing values, converting data types (such as dates), filling in incomplete information, and ensuring consistency across the dataset. The main goal is to improve data quality and readability, enabling more accurate and meaningful analysis in the next stages.