Data Analysis

Data analysis is the process of collecting data and then analyzing that data to extract meaningful insights so that those insights can help the stakeholders in taking necessary decisions and solving problems. Data analysis life cycle consists of six phases in total. Ask Prepare Process Analyze Share Act Ask You start…

On the way of being Data Engineer. I like manage data, that is why I want. Introduction Apache Hadoop is the efficient role to big data. In this role, Apache Hadoop can storage data and process data. This article will basically touch on what Apache concepts are. After the definition, Project…

As reported by NASA, the planet’s average surface temperature has risen by 1.18 degrees Celsius since the late 19th century, of which most of the warming has occurred in the past 40 years. Oceans are warming, ice sheets are shrinking, and glaciers are retreating. In 2018, the Intergovernmental Panel on…

The story you tell with your data visualizations is only as good as the visualizations themselves. In this article we will look in ways to make histograms more insightful to your audience. In this article, we will be utilizing the tidytuesday Horror Movies dataset. This can be pulled into R…

In the article How To Create Excel Functions With Python, I talked about how you can use Python in Excel to create your own Excel functions, also known as User Defined Functions (U.D.F). Since Python and R are popular in the world of Data Science, we now have add-ins to…

Another super detailed follow-along project in Tableau with the awesome YouTuber — Alex the Analyst! Hi everyone, my name is Yuen :) For today’s article, I would like to do another follow-along project in Tableau with Alex the Analyst, here’s the link to his YouTube tutorial: Full Beginner Project in…

Introduction of Python Python is an effective general-purpose, high-level, interpreted programming language. It was developed by Guido van Rossum on December 3, 1989, and is most frequently used for system programming, artificial intelligence, and scientific computing.Python is an open source software project, with more than 2500 contributors. Python Tutorial : https://www.w3schools.com/python/ Python Video…

Performance metrics are an important part of any machine learning algorithm. Without accurate measurements, it can be difficult to determine the effectiveness of an algorithm. In this blog post, we’ll take a look at some of the most common performance metrics used in statistical machine learning. Confusion Matrix Classification Accuracy …

R is a programming language for statistical computing and graphics. It can be used in order to make complicated statistical models such as linear regression, and create astonishing visualizations. One of R’s greatest strengths is the ability to extend its capabilities through user-created packages. Packages may include functions that enable…