Faster data exploration with DataExplorer
Data exploration is an important part of the modeling process. It can also take up a fair amount of time. The awesome DataExplorer package in R aims to make this process easier. To get started with DataExplorer, you'll need to install it like below: Let's use DataExplorer to explore a dataset on diabetes. Running the create_report line of code above will generate an HTML report file containing a collection of useful information about the data. This includes: Basic statistics, such as number of rows and columns, number of columns with missing data, count of continuous variables vs. discrete, and the total memory allocation Data type for each field Missing data percentages for each column Univariate distribution for each column QQ plots Correlation analysis PCA That's right - a single line…