A app to explore data sets with quantitatives targets

The application give to the user a tool to identify the relevance of inputs features using the random forest model. Also is possible to explore the variables relations using scatter plots and box plot.

Select the toyset

To start, is necessary choose the database. There are three possibilities by default:

• corn.db.csv
• longley.csv
• mtcasr.csv

Immediately a database has been selected, will appear a table with the data below. The function behind is read.csv. You can add your own data, only you should save your database in csv format inside to the folder app.

Bivariate analysis

A scatter plot appear when there are two quantitative variable:

Bivariate analysis

A box plot appear when there are one quantitative variable and a qualitative variable:

Variable Importance Plot

You can evaluate the top of relevance variables that explain the output.