📊 Exploratory Data Analysis (EDA) in R 💡 | Visualize, Summarize🔍 скачать в хорошем качестве

📊 Exploratory Data Analysis (EDA) in R 💡 | Visualize, Summarize🔍

📊 Exploratory Data Analysis (EDA) – Master the First Step in Data Science! Welcome to this complete guide on EDA (Exploratory Data Analysis) – an essential part of Data Analytics and Data Science. In this video, you’ll learn how to analyze, visualize, and understand your dataset before applying any machine learning algorithm. Whether you're working in R or Python, this video explains everything you need to know to get started with cleaning, summarizing, and visualizing data effectively. 🧠 Topics Covered: ✅ What is EDA? ✅ Importance of EDA in Data Science ✅ Univariate, Bivariate & Multivariate Analysis ✅ Summary Statistics (mean, median, mode, std) ✅ Data Distribution (histograms, boxplots, KDE) ✅ Handling Outliers & Missing Values ✅ Correlation & Pairplots ✅ Visualizations using matplotlib, seaborn, ggplot2 💻 Tools Used: Python (Pandas, Seaborn, Matplotlib) R (dplyr, ggplot2, summary stats) 📁 Dataset: Sample sales dataset (CSV) 📚 This video is a part of Data Analytics Playlist (Chapter 5) 🎥 Playlist Link:    • Data Analytics Chapter 5 playlist: Framewo...   #aktuupdates, #aktustudents, #aktunotes 🚀 Why EDA is Important? EDA helps you detect: Anomalies & Outliers Data Distribution Relationships & Trends Data Quality Issues 👉 Without EDA, your machine learning models might fail! 🔔 Don’t forget to Like 👍, Comment 💬 & Subscribe 🔔 for more videos on Data Analytics, R Programming, Python for Data Science, and more! Get all AKTU (Dr. A.P.J. Abdul Kalam Technical University) B.Tech course materials, syllabus, notes, and updates. Subscribe for semester-wise support. #BTechNotes #AKTUDataAnalytics #SemesterExamPrep #BigDataHindi #StreamProcessingExplained