This is the course project from developing Data Products - coursera
22/10/2020
This is the course project from developing Data Products - coursera
In this project, i used avocado prices data from https://www.kaggle.com/neuromusic/avocado-prices?select=avocado.csv
The data looks like, but i only used average price and total volume to this project
df<-read.csv("avocado.csv")
str(df)
## 'data.frame': 18249 obs. of 14 variables: ## $ X : int 0 1 2 3 4 5 6 7 8 9 ... ## $ Date : chr "2015-12-27" "2015-12-20" "2015-12-13" "2015-12-06" ... ## $ AveragePrice: num 1.33 1.35 0.93 1.08 1.28 1.26 0.99 0.98 1.02 1.07 ... ## $ Total.Volume: num 64237 54877 118220 78992 51040 ... ## $ X4046 : num 1037 674 795 1132 941 ... ## $ X4225 : num 54455 44639 109150 71976 43838 ... ## $ X4770 : num 48.2 58.3 130.5 72.6 75.8 ... ## $ Total.Bags : num 8697 9506 8145 5811 6184 ... ## $ Small.Bags : num 8604 9408 8042 5677 5986 ... ## $ Large.Bags : num 93.2 97.5 103.1 133.8 197.7 ... ## $ XLarge.Bags : num 0 0 0 0 0 0 0 0 0 0 ... ## $ type : chr "conventional" "conventional" "conventional" "conventional" ... ## $ year : int 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 ... ## $ region : chr "Albany" "Albany" "Albany" "Albany" ...
the application can be found here: https://oscarh.shinyapps.io/Shiny-Aplication/
the source code can be found here: https://github.com/sibork13/Shiny-Aplication