Welcome

This is an R Markdown presentation for coursera project: developing data products. I used “Diamonds” in ggplot2 package.

Variables

• price price in US dollars ($326–$18,823)

• carat weight of the diamond (0.2–5.01)

• cut quality of the cut (Fair, Good, Very Good, Premium, Ideal)

• color diamond colour, from J (worst) to D (best)

• clarity a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best))

• x length in mm (0–10.74)

• y width in mm (0–58.9)

• z depth in mm (0–31.8)

• depth total depth percentage = z / mean(x, y) = 2 * z / (x + y) (43–79)

• table width of top of diamond relative to widest point (43–95)

Slide with R Output

======================================================== library(ggplot2) library(plotly) data(diamonds) d <- diamonds[sample(nrow(diamonds), 1000), ]

Tab1 Visualization

The visualization is based on x-diamonds, y-prices, and qualitative variables as cut,clarity,color.. This helps you understand different level of quality of diamonds.

You can simulate new dataset using button function

plot_ly(d, x = ~carat, y = ~price, color = ~factor(cut))

Tab2 Filter

This tab serves the function of selecting different features. You can download your selected data using download button.

Shiny App:

• Sidebar panel

• slideinput: Value of price
• slideinput: value of carat
• selectInput: Categories of cut
• selectInput: categories of clarity

• selectInput: categories of color

• Main panel

• visualization of different features

• select and filter the range of features of diamonds