The Data Scientist‘s Guide to R Packages: A Deep Dive into Essential Libraries
Here is the complete list of useful libraries in R to perform data analysis. ggplot2, swirl, shiny, rcmdr, randomforest, survival is listed
Libraries
Creating Dynamic Data Stories with Bokeh: A Deep Dive into Interactive Visualization
Bokeh is a Python library for interactive visualization that targets web browsers for representation.
Getting Started With Julia: Your Gateway to High-Performance Scientific Computing
Guide to learn Julia whch includes an overview of what is julia? and how to install it. Getting started with Julia, a high level language for computing
Variables in Qlikview: Mastering Data Stories Through Dynamic Programming
Using variables in QlikView dashboard can help you deliver powerful applications with dynamic charts. Learn using qlikview variables to create data stories.
Python Regular Expression Tutorial: A Deep Dive into Pattern Matching
Python regular expression (regex) tutorial for beginners. In this regex tutorial learn various methods and application of regular expression with example.
A Data Scientist‘s Guide to MongoDB: Mastering Python, R, and NoSQL Manager
This article lists python and r packages to integrate their use with MongoDB. Learn the basics explained here for several methods.
Getting Started With R Cloud Computing: Your Complete Guide to Statistical Computing in the Cloud
Introduction to r cloud computing, cloud computing in R studio is defined. Advantages of using R for cloud and IaaS, PaaS, SaaS are explained.
MongoDB Beginners Guide | How To Install MongoDB
MongoDB beginners guide to learn mongodb, its structural aspects like data model, sharding with comparison of database and steps for how to install mongodb.
Mastering R Programming: Your Personal Journey with Swirl Package
Swirl package is an easy way to learn R in R. This article discusses Why learn R? and provides a guide to swirl and way to learn r programming.
Data Exploration Using First. And Last. in SAS PDV: A Deep Dive
Learn the use of First. and Last. variables in SAS for data processing using examples. These variables are formed in SAS PDV, when BY and SET are used together.