The Sales dataset from UCI (University of California, Irvine) is a collection of data that is used to forecast the number of sales of a certain product over time. Each observation represents a period of time, such as a month or a year, and the feature represents the number of sales for that …
The BJ Sales dataset from UCI (University of California, Irvine) is a collection of 42 observations and 1 feature that are used to forecast the number of sales of a certain product in Beijing. Each observation represents a month, and the feature represents the number of sales for that month. The goal of this …
The BJ Sales dataset from UCI (University of California, Irvine) is a collection of 42 observations and 1 feature that are used to forecast the number of sales of a certain product in Beijing. Each observation represents a month, and the feature represents the number of sales for that month. The goal of this …
The BJ Sales dataset from UCI (University of California, Irvine) is a collection of 42 observations and 1 feature that are used to forecast the number of sales of a certain product in Beijing. Each observation represents a month, and the feature represents the number of sales for that month. The goal of this …
Machine Learning with Boston House Price Dataset in R | R Data Science for beginners & data analysts
The Boston House Price dataset from UCI (University of California, Irvine) is a collection of 506 observations and 13 features that are used to predict the median value of owner-occupied homes in Boston. Each observation represents a neighborhood in Boston, and each feature represents a measure of the neighborhood’s characteristics. The dataset includes features …
Summarizing correlation coefficients in R is a simple process that can be done using the cor() function and the cor.test() function. In this essay, we will go over the steps needed to summarize correlation coefficients in R. The first step is to load the dataset into R. This can be done using the read.csv() …
Getting summary statistics in R is a simple process that can be done using the summary() function. In this essay, we will go over the steps needed to get summary statistics in R. The first step is to load the dataset into R. This can be done using the read.csv() function, which allows you …
Showing the first and last rows of a dataset in R is a simple process that can be done using the head() and tail() functions. In this essay, we will go over the steps needed to show the first and last rows of a dataset in R. The first step is to load the …
Pair wise correlations using Pearson and Spearman coefficients in R are used to measure the strength and direction of the linear relationship between two variables. In this essay, we will go over the steps needed to calculate pair wise correlations using Pearson and Spearman coefficients in R. The first step is to load the …
Loading data from a URL in R is a simple process that can be done using the read.csv() function. In this essay, we will go over the steps needed to load data from a URL in R. The first step is to locate the URL that contains the data you want to load. This …