Data Cleaning in R – Fix imbalance Dataset in R Data cleaning is an essential step in the data analysis process, as it helps to ensure that the data is accurate, consistent, and reliable. One of the most common issues that can arise during data cleaning is imbalanced data, which occurs when the number of …
Visualize Multivariate Data – Scatter Matrix plot in R A scatter matrix plot, also known as a pair plot, is a useful tool for visualizing the relationship between multiple variables in a dataset. It creates a matrix of scatter plots, with each variable being plotted against every other variable. This allows to quickly identify patterns …
Visualize Multivariate Data – Density plot in R In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Visualize Multivariate Data – Density plot in R. Visualize Multivariate Data – Density plot in R …
Visualize Multivariate Data – Correlation plot in R A correlation plot is a useful tool for visualizing the relationship between multiple variables in a dataset. It allows to quickly identify patterns and trends in the data, and to determine whether variables are positively or negatively correlated. In R, there are different ways to create a …
Visualize Univariate Data – Histogram plot in R In R, a histogram is a useful tool for visualizing univariate data, or data that has only one variable. A histogram is a graph that shows the distribution of the data by dividing it into bins and counting the number of data points that fall into …
Visualize Univariate Data – BOX plot in R In R, a box plot is a useful tool for visualizing univariate data, or data that has only one variable. A box plot is a graph that uses boxes to represent the distribution of the data and to identify any potential outliers. To create a box plot …
Visualize Univariate Data – BAR plot in R In R, a bar plot is a useful tool for visualizing univariate data, or data that has only one variable. A bar plot is a graph that uses bars to represent the frequency or count of observations in each category of a categorical variable. To create a …
Summarise Data in R – How to summarize correlation coefficients in R In R, correlation coefficients are used to measure the strength and direction of the relationship between two variables. There are several types of correlation coefficients, including Pearson’s correlation coefficient and Spearman’s rank correlation coefficient. To summarize correlation coefficients in R, you can use …
Summarise Data in R – How to summarize class distribution in R In R, class distribution refers to the number of observations in each class or category of a categorical variable. Understanding class distribution can help you identify patterns and trends in your data and make informed decisions about your analysis. To summarize class distribution …
Summarise Data in R – How to know dimention of a dataset in R In R, it is important to know the dimensions of a dataset, such as the number of rows and columns, to ensure that it is properly formatted and ready for analysis. To check the dimensions of a dataset in R, you …