Se publica actividad relacionado aprendizaje frente a funciones y codigo claves de RStudio.

Turning real-time customer data into meaningful insights through data visualization with RStudio. In today’s data-driven environment, customer data is more than just numbers. It can reveal patterns, trends, preferences, and behaviors that help us better understand what customers need and how they interact with a product or service. By using RStudio, I explored and visualized real-time customer data to transform complex information into clear and understandable visual insights. Through interactive charts and meaningful visualizations, data becomes easier to interpret, allowing us to identify trends, monitor customer behavior, and support more informed decision-making. This process shows how data visualization can bridge the gap between raw data and actionable insights. Instead of simply looking at numbers and statistics, visualization helps us see the bigger picture and discover the story behind the data. From real-time data to real-world insights — every dataset has a story waiting to be discovered. #DataVisualization #RStudio #DataAnalytics #DataScience #RealTimeData #CustomerInsights #CustomerAnalytics #DataDriven #BusinessIntelligence #Analytics #DataStorytelling #RProgramming

ANALISIS DATA SKRIPSI REGRESI SPLINE TRUNCATED MULTIVARIABEL Tugas ini merupakan analisis data skripsi dengan judul "Regresi Nonparametrik Spline Truncated Multivariabel untuk Memodelkan Tingkat Pengangguran Terbuka di Pulau Kalimantan". SKRIPSI REWANI EGA TANATY Nama: Swita Paulaean Manullang NIM: 2407016042

Medical Cost Personal Datasets

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Flight delay basic analysis

Analisis tabel kontingensi 3 arah (penggunaan kelas online x kelulusan x jalur masuk) menggunakan data simulasi 550 mahasiswa. Mencakup OR marginal dan bersyarat, pemeriksaan Paradoks Simpson, uji Breslow-Day dan Cochran-Mantel-Haenszel dengan R. Tugas Analisis Data Kategorik, Program Studi Statistika, Untirta.

DATA 110, Assignment 4- part 2, Asim Maharjan, Visualozation

Laporan ini membahas penerapan data wrangling dan analisis eksploratif pada Global Freelancers Dataset menggunakan R. Tahapan analisis meliputi pemeriksaan dan pembersihan data, penanganan nilai hilang dan duplikasi, standardisasi serta transformasi variabel, encoding variabel kategori, validasi data, pengujian statistik, dan visualisasi data. Analisis ini bertujuan untuk menghasilkan data yang lebih terstruktur serta memahami karakteristik, distribusi, dan pola dalam dataset freelancer global.