PPR

PPR helps users pre-process, analyze, visualize, join and apply machine learning models on datasets without coding.

Getting started

Try it online : https://kassis.shinyapps.io/pre-process/

Available functionalities

Pre-processing

• See details for each columns (data types, statistical informations and unique values)
• Drop NA using specific columns
• Replace NA of specific columns by median, mean, 0 or specific value
• Merge columns by specifying a name and a separator
• Encode columns (Numerical and One hot)
• Manual encoding
• Convert column's type (integer, double, character, factor and date)
• Split columns using separator
• Rename columns
• Reorder columns
• Delete columns
• Edit rows
• Delete rows
• Override current data
• Export dataset (copy, pdf, csv, excel and print)
• Filter table (filter table on multiple columns using regex syntax or by range)
• Reset (return initial dataset)

Plots

Available plots

• Scatter plot
• Bar chart
• Boxplot
• Violin plot
• Pie chart
• Correlogram
• Pair plot

Plotting parameters

• x axis
• y axis
• label color
• facet wrap (up to 2 options)
• facet orientation (vertical or horizontal)
• position (only bar chart : dodge or identity)
• x label orientation
• vertical adjustement for x axis
• horizontal adjustement of x axis
• y label orientation
• vertical adjustement for y axis
• horizontal adjustement for y axis

Join

Load two files and join them. PPR automatically detects columns with same name on both files.

• Inner join
• Left join
• Right join
• Full join
• Semi join
• Anti join

After joining, merged file can be either export or use as current dataset.

ML models

• Linear regression
• SVM (Linear)
• SVM (Polynomial)
• Random Forest
• Linear discriminant Analysis