Develop an R program to quickly explore a given dataset, including categorical analysis using the group_by command, and visualize the findings using ggplot2 features.

Develop an R program to quickly explore a given dataset, including categorical analysis using the group_by command, and visualize the findings using ggplot2 features.

Create multiple histograms using ggplot2 to visualize how a variable is distributed across different groups in a built R dataset.

Create multiple histograms using ggplot2::facet_wrap() to visualize how a variable (e.g., Sepal.Length) is distributed across different groups (e.g., Species) in a built-in R dataset.

Develop an R program to quickly explore a given dataset, including categorical analysis using the group_by command, and visualize the findings using ggplot2 features.

8. Write an R program loading a dataset and demonstrating a scatter plot,line plot , histogram,box plot using grouped data and curve style for mathematical equation provided of built in datasets in R studio.

8. Write an R program loading a dataset and demonstrating a scatter plot,line plot , histogram,box plot using grouped data and curve style for mathematical equation provided of built in datasets in R studio

Mempelajari Random Forest Classifier dan Decision Tree Classifier. Random Forest adalah suatu algoritma yang digunakan pada klasifikasi data dalam jumlah yang besar. Decision Tree disebut dengan pohon keputusan merupakan salah satu pendekatan pemodelan prediktif yang digunakan dalam statistik, penambangan data, dan pembelajaran mesin.