Pitch Presentation - Shiny App Project for DDP Course by John Hopkins and Coursera

Igor Hut
13-Dec-2016

Overview

  • This app enables simple graphical exploratory analysis of the famous iris dataset
  • It can be used for educational and demonstrational purposes
  • It useses the ggplot2 system for plotting
  • The iris dataset is converted into the “long tidy” format by deployment of dplyr and tidyr packages
  • Future plans - including exploratory analysis of “wide tidy” format, correlation plots, linear regression…

App Screenshot

Dataset format conversion

library(dplyr)
library(tidyr)
library(ggplot2)

iris_l <-  gather(iris, Dimension, Value, -Species) %>% separate(Dimension, c("Part", "Measure"))
iris_l$Part <- as.factor(iris_l$Part)
str(iris_l)

'data.frame':   600 obs. of  4 variables:
 $ Species: Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ Part   : Factor w/ 2 levels "Petal","Sepal": 2 2 2 2 2 2 2 2 2 2 ...
 $ Measure: chr  "Length" "Length" "Length" "Length" ...
 $ Value  : num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...

Example of a plot that can be obtained 

ggplot(iris_l, aes(x = Species, y = Value, col = Part)) +
  geom_jitter() +
  facet_grid(.~ Measure)

plot of chunk unnamed-chunk-3

More info

Thanks!