Statistics Tutorials
Introduction Statistical Data Analysis or simply put “Data Analysis” is very common term these days. But what does this really mean? And most importantly, why should we do that? Well, as you all know, “Data is the new Oil” To get proper use of oil, we need to mine it from underground and purify it…
Classical method of time series is done by decomposing a time series intro trend, seasonal, cyclic and irregular components. What is decomposing? The meaning of the word “decomposing” in Mathematics is breaking something into parts, that together are the same as original. For an example, we can decompose 664 like this; 664 –> 600 +…
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…
Minitab is ideal for Statistical Analysis. R is great for complex statistical analysis. Python is ideal for Machine Learning and Data Science
Box Plots are used to get a good visual idea about the distribution of data and spot outliers.
We can use histograms in R to visualize continuous variables. In a histogram, the area of each column is proportional to the frequency.
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 outputs the probability of a sequence of events happening in a fixed time interval.
Word cloud is a data visualization technique. It is basically an image consisting of words.
