Greg bennett
May 1, 2018
The application is drawing plot of diamonds in the diamonds data set distributed by their size (carat) and price ($). The regression line is shown on the plot as well.
By selecting specific features of the diamond (carat, cut, clarity, color) the user is able to sub select the data set and the regression is recalculated based only on the diamonds in the data set that share the same features. If no features are selected the regression model is using all diamonds in the data set.
A diamond is a solid form of carbon with a diamond cubic crystal structure. At room temperature and pressure it is metastable and graphite is the stable form, but diamond almost never converts to graphite.
Colorless gem cut from diamond grown by chemical vapor deposition.
The data used for this model is diamonds data set, which is part of ggplot2 package. It contains the information about 53940 diamonds with 10 diferent variables:
## # A tibble: 53,940 x 5
## carat cut color clarity price
## <dbl> <ord> <ord> <ord> <int>
## 1 0.230 Ideal E SI2 326
## 2 0.210 Premium E SI1 326
## 3 0.230 Good E VS1 327
## 4 0.290 Premium I VS2 334
## 5 0.310 Good J SI2 335
## 6 0.240 Very Good J VVS2 336
## 7 0.240 Very Good I VVS1 336
## 8 0.260 Very Good H SI1 337
## 9 0.220 Fair E VS2 337
## 10 0.230 Very Good H VS1 338
## # ... with 53,930 more rows
## carat cut color clarity
## Min. :0.2000 Fair : 1610 D: 6775 SI1 :13065
## 1st Qu.:0.4000 Good : 4906 E: 9797 VS2 :12258
## Median :0.7000 Very Good:12082 F: 9542 SI2 : 9194
## Mean :0.7979 Premium :13791 G:11292 VS1 : 8171
## 3rd Qu.:1.0400 Ideal :21551 H: 8304 VVS2 : 5066
## Max. :5.0100 I: 5422 VVS1 : 3655
## J: 2808 (Other): 2531
## depth table price x
## Min. :43.00 Min. :43.00 Min. : 326 Min. : 0.000
## 1st Qu.:61.00 1st Qu.:56.00 1st Qu.: 950 1st Qu.: 4.710
## Median :61.80 Median :57.00 Median : 2401 Median : 5.700
## Mean :61.75 Mean :57.46 Mean : 3933 Mean : 5.731
## 3rd Qu.:62.50 3rd Qu.:59.00 3rd Qu.: 5324 3rd Qu.: 6.540
## Max. :79.00 Max. :95.00 Max. :18823 Max. :10.740
##
## y z
## Min. : 0.000 Min. : 0.000
## 1st Qu.: 4.720 1st Qu.: 2.910
## Median : 5.710 Median : 3.530
## Mean : 5.735 Mean : 3.539
## 3rd Qu.: 6.540 3rd Qu.: 4.040
## Max. :58.900 Max. :31.800
##
The application is built using Shiny package and the source code is in 2 files:
ui.R
Server.R
This app can be seen in https://gbg-tst.shinyapps.io/ShinyApp-and-Reproducible-Pitch/