## Time Series Analysis

Introduction Most of you have heard about the term Time Series Analysis if you have learned Statistics as a subject anywhere. We at datasciencelk, are bringing you a series of posts about Time Series Analysis in detail. So what actually is Time Series Analysis? Time Series Analysis is basically the study and forecasting of time […]

## Which software to use, Minitab, R or Python?

Minitab is ideal for Statistical Analysis. R is great for complex statistical analysis. Python is ideal for Machine Learning and Data Science

## Creating Box Plots in R ggplot2

Box Plots are used to get a good visual idea about the distribution of data and spot outliers.

## How to make a Histogram with R

We can use histograms in R to visualize continuous variables. In a histogram, the area of each column is proportional to the frequency.

## Correlation Coefficient Interpretation

Introduction The correlation coefficient is used to measure the strength of the relationship between two variables. There are several types of correlation coefficients; Pearson Correlation Coefficient Spearman Rank Correlation Coefficient Kendall Rank Correlation Coefficient Pearson Correlation Coefficient Generally, when we say correlation coefficient, we actually mean Pearson’s Correlation Coefficient. This is used to measure the

## Poisson Distribution Explained

Poisson Distribution outputs the probability of a sequence of events happening in a fixed time interval.

## Creating a word cloud using R

Word cloud is a data visualization technique. It is basically an image consisting of words.

## Handling Missing Values Using R

Missing Value Imputation is a very critical part in any kind of Data Related Task. We can impute missing values using “mice” package in R

## Uniform Probability Distribution

In a Uniform Distribution Probability Density Function (PDF) is same for all the possible X values. Sometimes this is called a Rectangular Distribution. There are two (2) parameters in this distribution, a minimum (A) and a maximum (B)