Data dive: Ebola in Sierra Leone | Foundations of data analysis with R (lesson 4) скачать в хорошем качестве

Data dive: Ebola in Sierra Leone | Foundations of data analysis with R (lesson 4)

👋 LESSON MATERIALS 🛑 You can access the quizzes, PDF notes, and datasets for this lesson at our website: https://thegraphcourses.org/courses/r... Chapters 0:00 Introduction 4:14 Packages 6:07 Obtaining the dataset 11:50 The Ebola dataset 13:36 Data exploration 17:16 visdat 26:00 Analyzing a numeric variable 32:37 Visualizing a numeric variable 41:02 Analyzing a categorical variable 46:00 Visualizing a categorical variable 48:22 Question answering 53:32 Why not Excel? 54:30 Wrap-up Learning objectives 1. You can use RStudio’s graphic user interface to import CSV data into R. 2. You can explain the concept of reproducibility. 3. You can use the nrow(), ncol() and dim() functions to get the dimensions of a dataset, and the summary() function to get a summary of the dataset’s variables. 4. You can use vis_dat(), inspect_num() and inspect_cat() to obtain visual summaries of a dataset. 5. You can inspect a numeric variable: with the summary functions mean() , median(), max(), min(), length() and sum(); with esquisse-generated ggplot2 code. 6. You can inspect a categorical variable: with the summary functions table() and janitor::tabyl(); with the graphical functions barplot() and pie(). ---------------- And follow us on social media to get the latest updates! Twitter:   / thegraphnetwork   LinkedIn:   / the-graph-network