Category: R

Sentiment analysis in R, In this article, we will discuss sentiment analysis using R. We will make use of the syuzhet text package to analyze the data and get scores for the corresponding words...

Animated graph gif, an animated graph can effectively draw the audience’s focus and lead their eyes to specific points on the graph. In most cases concentrating on a statistics chart is difficult and you...

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, 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,...

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....

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...

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....

How to Measure Contingency-Coefficient, when the hypothesis of independence of attributes in a contingency table is rejected by performing a chi-square test, ensures the association between two attributes. Such kinds of situations are interested...

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, 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...