Exploratory Data Analysis (EDA) is a methodology in data science as the initial approach to gain insights by visualizing and summarizing data. We will use some exploratory data analysis technics to find the reason behind the bidding war on the housing market.
When it comes to visualizing data with a histogram and dealing with multiple groups, it can be quite challenging. I have recently come across a useful ggplot2 extension called ggridges that has been helpful for my data exploratory tasks.
My main goal is to enable people without programming experience to use the powerful Sankey Diagram by simply uploading the transaction CVS file from the popular site Mint.com.
R could add potential benefits to help the data engineering community. Let’s discuss about Why R for Data Engineering is More Powerful Than You Thought.
How to find the best deals and coupons promptly can save you money and time. We can quickly build a weekend project that automatically finds the best deals on time with R and Mage
Using R and Shiny, we can build an app where the end users can interact with the data analysis we have done. I will show you how to engage with users by storytelling - show data analytics in R and Shiny.
I will share my journey on using R for Data Analysis: building an end-to-end solution for exploring trending Cocomelon videos using R from scratch.
Discover the Essential Reading List for Data Engineers: 10 Classic Books You Can’t Miss. While many free online resources are available, they often lack the depth and context needed to truly master the field. In this article, I will share ten classic books that cover everything from fundamental technical skills like Python and SQL, to more advanced topics like Apache Spark, Apache Flink, Apache Beam, Apache Airflow, Kubernetes, distributed systems, and dimensional modeling.
Many modern data orchestration projects like Apache Airflow and Luigi are Python-based. Let’s explore the popular data pipeline orchestration options for R.
Have you seen any beautiful racing bar chart data animation on Youtube and wondered how it was built? I will show you how to use gganimate in R to animate data by creating a racing bar chart as an example.
