Category: Methods

data manipulation techniques 0

Data Manipulation Techniques with dplyr

Data Manipulation Techniques with dplyr, Data manipulation techniques refer to the process of adjusting or rearranging data to make it organized and easier to read. Data manipulation is a crucial function for all types...

Correlation analysis 2

Correlation Analysis Different Types of Plots in R

Correlation analysis, correlation is a term that is a measure of the strength of a relationship between two variables. Pearson’s Product-Moment Correlation One of the most common measures of correlation is Pearson’s product-moment correlation,...

Visualization graphs ggside 0

Data Visualization Graphs-ggside with ggplot

Data Visualization Graphs, Huge information is being collected through data in the business world, we must need a tool to picture of that data so we can interpret it and make decisions on time....

Analysis of Variance in R 0

Methods in Quantitative Statistical Analysis

Methods in Quantitative Statistical Analysis, What is hypothesis testing?. Hypothesis testing is an act in statistics whereby an analyst tests an assumption regarding a population parameter. Major four principles involved in a statistical test. Evolving a...

Experimental Design 0

Completely Randomized Experimental Design

Completely Randomized Experimental Design, when do you call an experimental design a randomized design? Experimental designs in which the treatments are allocated randomly to the experimental units come under the category of randomized designs....

Power analysis in Statistics 0

Power analysis in Statistics with R

Power analysis in Statistics, there is a probability of committing an error in making a decision about a hypothesis. Hence two types of errors can occur in hypothesis, Type I error and Type II...


Principal Component Analysis in R

Principal Component Analysis in R, PCA is used in exploratory data analysis and for making decisions in predictive models. PCA is commonly used for dimensionality reduction by using each data point onto only the...

Class Imbalance 0

Class Imbalance-Handling Imbalanced Data in R

Handling Imbalanced Data in R, Class Imbalance classification refers to a classification predictive modeling problem where the number of observations in the training dataset for each class is not balanced. In other words, the...

best algorithm for stock prediction 2

Best Algorithm For Stock Prediction

Best algorithm for stock prediction, Stock Prediction-Intraday is one of the trading norms of the stock market, buy shares at the opening time of the market and then sell the same at the closing...


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