R can be used for various functionalities in the Data world. Right from Loading Data to modeling data to manipulating it and creating sophisticated visualizations, R can handle it all. There exist over 10,000 packages at our disposal that we can download and install and use according to our utility & preference. The packages I have covered in this post fall broadly under four categories Exploratory Data Analysis & Visualization Machine Learning Integration of R and Python Sentiment Analysis Exploratory Data Analysis & Visualization DataExplorer What: A crucial phase of data analysis/predictive modeling consists of Exploratory Data Analysis (EDA) where we get the first look at the data and thus generate relevant hypotheses and probably decide on the next steps as well. This R package automates the data exploration process so that users could focus on understanding data and extracting insights. The package scans and analyzes each variable, and visualizes them with typical graphical techniques. Common data processing methods are also available to treat and format data. The package can be installed directly from CRAN. install.packages(“DataExplorer”) Why: (i) Use it to generate Report (ii) For Visualizations (iii) To make quick updates to data: (iv) […]
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