The Kernel Density Estimation or KDE plot shows the probability density function of continuous or non-parametric data variables. For example, let’s look into the “titanic” dataset. The dataset contains the age of each passenger. But, there are some missing values. So,...

In a hexagonal plot, the range of X and Y are first divided into hexagons that look like honeycomb. After that, the hexagons are colored depending on how many values fall within that region. When there are hundreds of thousands or millions of observations, then...

Using a box plot, one can know the spread and skewness of data. It is a standardized way of displaying the five-number summary of the data: The minimum The maximum The median The first quartile or 25th percentile and The third quartile or 75th percentile A box plot...

Let’s take the example of the titanic dataset. The dataset contains various information such as age, embark town of the passengers, whether the passenger survived, etc. Let’s say we want to know how many passengers onboarded from each embark town. To know that we can...

A scatter plot is often used to see the relationship between two variables. For example, let’s say we are reading the tips dataset. The dataset contains various information, such as the total bill amount, the tip amount, etc. Now, we want to know whether the tip...