February 22, 2021
In this presentation you can find the information regarding the Diamond price prediction application. The application can be found on the following link staj tvoj link
This application builds a linear regression model using the
diamonds dataset and is predicting the price of the diamond depending of its properties, such as:
Then it builds a plot and gives the predicted price of the diamond.
The data used for this application is the
diamonds dataset, which is part of the
This dataset contains the information of arround 53940 diamonds with 10 different variables:
carat cut color clarity depth Min. :0.2000 Fair : 1610 D: 6775 SI1 :13065 Min. :43.00 1st Qu.:0.4000 Good : 4906 E: 9797 VS2 :12258 1st Qu.:61.00 Median :0.7000 Very Good:12082 F: 9542 SI2 : 9194 Median :61.80 Mean :0.7979 Premium :13791 G:11292 VS1 : 8171 Mean :61.75 3rd Qu.:1.0400 Ideal :21551 H: 8304 VVS2 : 5066 3rd Qu.:62.50 Max. :5.0100 I: 5422 VVS1 : 3655 Max. :79.00 J: 2808 (Other): 2531 table price x y Min. :43.00 Min. : 326 Min. : 0.000 Min. : 0.000 1st Qu.:56.00 1st Qu.: 950 1st Qu.: 4.710 1st Qu.: 4.720 Median :57.00 Median : 2401 Median : 5.700 Median : 5.710 Mean :57.46 Mean : 3933 Mean : 5.731 Mean : 5.735 3rd Qu.:59.00 3rd Qu.: 5324 3rd Qu.: 6.540 3rd Qu.: 6.540 Max. :95.00 Max. :18823 Max. :10.740 Max. :58.900 z Min. : 0.000 1st Qu.: 2.910 Median : 3.530 Mean : 3.539 3rd Qu.: 4.040 Max. :31.800
The application is build using the Shiny package and the source code of the application is written in 2 files:
The files can be found on the following link
The application is drawing plot of diamonds in the
diamonds dataset distributed by their size (carat) and price ($). The regression line is shown on the plot as well in blue color.
By selecting specific features of the diamond (carat, cut, clarity, color) the user is able to sub select the dataset and the regression line is recalculated based only on the diamonds filtered in the dataset that share the same features. If no features are selected the regression model is using all diamonds in the data set.