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ggplotwithyourdata

R Shiny app as a handy inteface to ggplot2. It enables you to quickly explore your data to detect trends on the fly. You can do scatter plots, dotplots, boxplots, histograms and densities.

CSV Data Input

  • [read.csv("youruploadeddata.csv",na.strings = c("NA","."))]

Data Manipulations

  • 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

Summary/Regression functions

  • Quantile Regression
  • Smooth/Linear/Logistic Regressions
  • Mean Confidence Intervals
  • Median Prediction Intervals
  • Kaplan-Meier

ggplot2 built-in functionality

*facet_grid and facet_wrap

  • Group, color, size, fill mappings
  • Controlling y and x axis labels, legends and other commonly used theme options.

Running Information

shiny::runGitHub('ggplotyourdata', 'HBGDki', subdir = 'shinyapp')

Example use case 1 with the included sample_df.csv.

Example use case 2 with the included sample_df.csv.

Example use case 3 with the included sample_df.csv.

Example use case 4 with the included sample_df.csv.

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