## Complementary Cumulative Distribution Function

Complementary cumulative distribution function as the name suggest complements cumulative distribution function (CDF). Cumulative Distributive Function (CDF) is used to find the probability of a variable taking a value less…

Cumulative Distribution Function

## Cumulative Distribution Function – Formula, Properties, Differences

The cumulative distribution function or the cumulative density function or the CDF is the probability that the variable takes a value less than or equal to x. Cumulative in CDF…

## Standard Deviation Using An Example And It’s Advantages

The standard deviation is a measure that is used to quantify the amount of variation or spread of a set of data values from its mean. A low standard deviation…

## Variance – What? How? Limitation? Properties? Application?

What Is Variance? In the mean, we look at the central tendency of the data. However, it does not tell us the spread of the data, it only gives us…

## Mean – What? How? Benefits? Limitation?

Mean in simple terms is defined as an average value attained. Whenever the word is used without a modifier, it is assumed to be arithmetic mean. Simple or arithmetic mean…

## Probability Density Function

Probability Density Function (PDF) is used for univariate analysis. Univariate analysis as the name suggests is a single variable analysis. So, PDF is very helpful when we have to dig…

The histogram is a univariate analysis tool which means it is used to visualize one variable in our dataset. It displays the frequency on the vertical or y-axis and the horizontal…

## Pair Plots

A Simple 2D Scatter plot is used to understand the relationship or pattern between two variables or dimensions in our dataset. A 3D plot will be used for three variables…

## 2D Scatter Plot

2D Scatter plot is one of the simple and very useful plotting tool used in Exploratory Data Analysis. A 2D Scatter plot would take the data points in our dataset…

## Understanding Data Through Exploratory Data Analysis

In the world of data, it is not wise to jump on a problem at hand as soon as we get the data. We need to work on it a…

End of content