R programming language provides an environment for statistical computing and graphics. It’s a GNU project, which was developed at Bell Laboratories. It’s similar to the S programming language.
R provides a wide variety of statistical and graphical techniques and is highly extensible.
R is Open-Source and it runs on Windows, Linux, and Mac operating systems.
As a data analyst or a data visualization professional, my love for data never ends. You may use either python or R for data analysis and visualization, you will always be surprised by many visualization….
Missing data or values occurs when the data record is absent in the variable. This will cause serious issues in the data modeling process if not treated properly. Above all, most of the algorithms are not….
Excel is one of the best and widely used tools for data storage and analysis. Even today, though we got many new tools for data analysis, the Excel love never ends. As an R user,….
“A picture can speak a thousand words”. Pictures or graphs can communicate data patterns more effectively and easily. I am sure you use many visualizations when you are analyzing the data. But, creating visualizations is….
Data, Data and Data. It is everywhere. People like you working in various data-related roles, will spend more than half of their time processing and exploring data. As said, it is very important to explore….
In this tutorial, we’ll talk about the p_load function in R. A package in R is a collection of code, data, and related documentation in a standard way. You can install a package in an….
If I ask you a question – “Do you use spreadsheets”?, I will immediately get a straight YES. It shows how popular and useful spreadsheets are in day-to-day business operations. If you are an analyst,….
It is not a secret that any data-driven work requires more than half of the overall project time to process the data. Most of the time, the data will be messy and unstructured. Data preprocessing….
If your daily tasks involve working with data, then the words like “messy” and “tidy” might not new to you. Most of the data-driven works required a reasonable time frame to transform the data for….
Let’s talk about exploratory graphs in exploratory data analysis in R. Do you often think exploring data by visualizing it will be more fruitful? If yes, then you should be aware of different plotting systems….