r-eda
allows a user to quickly explore data on the fly (.csv files) by utilizing the power of Shiny and ggplot2- You can do the following:
- scatter plots
- dotplots
- boxplots
- histograms
- densities
- Essentially utilizes
read.csv
->read.csv("yourdata.csv",na.strings = c("NA","."))
- Change continuous variable to be treated as categorical
- Change continuous variable to categories with a specified number of bins or by supplying values for the bins start/end
- Up to six sequential filters for categorical and continuous variables
- Renaming and reordering of the levels of a categorical variable
- Combining two categorical variables into one
- Rounding a numerical variable to a specified number of digits
- Group, color, size, fill mappings
- Controlling y and x axis labels, legends and other commonly used theme options.