Here in this post, we will see how to define a function in python along with the importance of Functions in Python for Machine Learning and Data Analysis. We’ll start with the definition of function and then see some basic syntax with examples and in last we’ll discuss some use cases in the real world. What […]

## Importance of SQL for Data Science and Data Analysis

SQL or Structured Query language is the standard language used to query and manage relational database systems. In its initial days, it was called as “SEQUEL” but later changed to “SQL” due to trademark issues. As there are a lot of database systems are available based on SQL and they all have different extensions, different structure, function […]

## Performing Pareto Analysis using Tableau and Microsoft Excel

Pareto Analysis also called as 80/20 rule, is a decision-making technique which states that 80 % effects of things happen in the system, arises from 20 % causes. Consider below two examples to understand better: 80 % of your profit came from 20 per cent of Products you sold 80% of issues in your website/business […]

## 13 Most Used Matplotlib Plots for Data Visualization in Data Science (with Python Codes)

Here in this post, we have shared 13 Matplotlib plots for Data Visualization widely used by Data Scientists or Data Analysts along with Python codes so that you can easily implement them side by side with us. Python’s Matplotlib library plays an important role in visualizing and serve as an important part for an Exploratory Data […]

## Plotting Stacked Step histogram (unfilled) using Python’s Matplotlib library

In my previous posts, we have seen how we can plot stacked histogram (filled) and a stacked bar graph. In this post, we will see how we can plot a stacked Step histogram (unfilled) using Python’s Matplotlib library. Basically, Histograms are a graphical representation of a frequency distribution of numerical data and it’s a great visualizing tool for quickly […]