name <- "Ting"

My Report

This is the report generated by Ting
I generate the report today 02-December-2016

Data Exploratory

Display the data

dt <- read.csv("set2.csv")
dt[,1:10]
##     X Day W1 W2 W3  W4 W5  W6 D7 D8
## 1  21  21 24 39 85  49 64  65 60 45
## 2  22  22 32 31 28  43 44  33 48 32
## 3  23  23 21 43 60  55 64  41 34 22
## 4  24  24 34 37 66  47 34  85 56 52
## 5  25  25 34 48 82  68 53  76 63 74
## 6  26  26 51 63 99 115 94 125 79 64
## 7  27  27 48 58 48  22 62  27 64 44
## 8  28  28 30 49 46  45 51  52 65 38
## 9  29  29 16 46 43  47 51  41 36 43
## 10 30  30 40 44 77  77 75  88 86 75

Summary of Data

summary(dt)
##        X              Day              W1             W2       
##  Min.   :21.00   Min.   :21.00   Min.   :16.0   Min.   :31.00  
##  1st Qu.:23.25   1st Qu.:23.25   1st Qu.:25.5   1st Qu.:40.00  
##  Median :25.50   Median :25.50   Median :33.0   Median :45.00  
##  Mean   :25.50   Mean   :25.50   Mean   :33.0   Mean   :45.80  
##  3rd Qu.:27.75   3rd Qu.:27.75   3rd Qu.:38.5   3rd Qu.:48.75  
##  Max.   :30.00   Max.   :30.00   Max.   :51.0   Max.   :63.00  
##        W3              W4               W5             W6        
##  Min.   :28.00   Min.   : 22.00   Min.   :34.0   Min.   : 27.00  
##  1st Qu.:46.50   1st Qu.: 45.50   1st Qu.:51.0   1st Qu.: 41.00  
##  Median :63.00   Median : 48.00   Median :57.5   Median : 58.50  
##  Mean   :63.40   Mean   : 56.80   Mean   :59.2   Mean   : 63.30  
##  3rd Qu.:80.75   3rd Qu.: 64.75   3rd Qu.:64.0   3rd Qu.: 82.75  
##  Max.   :99.00   Max.   :115.00   Max.   :94.0   Max.   :125.00  
##        D7              D8              D9             D10       
##  Min.   :34.00   Min.   :22.00   Min.   :22.00   Min.   :17.00  
##  1st Qu.:50.00   1st Qu.:39.25   1st Qu.:27.00   1st Qu.:34.25  
##  Median :61.50   Median :44.50   Median :35.50   Median :55.00  
##  Mean   :59.10   Mean   :48.90   Mean   :41.10   Mean   :49.00  
##  3rd Qu.:64.75   3rd Qu.:61.00   3rd Qu.:52.25   3rd Qu.:63.00  
##  Max.   :86.00   Max.   :75.00   Max.   :70.00   Max.   :70.00  
##        VM                     Weather    Gas_Usage    Electricity_Usage
##  Min.   :10.00   rain             :3   Min.   :4032   Min.   :11.00    
##  1st Qu.:14.00   rain_thunderstorm:4   1st Qu.:5294   1st Qu.:25.75    
##  Median :22.00   sunny            :2   Median :5877   Median :29.50    
##  Mean   :22.40   thunderstorm     :1   Mean   :6336   Mean   :30.00    
##  3rd Qu.:27.75                         3rd Qu.:6957   3rd Qu.:32.75    
##  Max.   :40.00                         Max.   :9570   Max.   :49.00    
##   Water_Usage     Detergent_1   Detergent_2     Softener       Bleach    
##  Min.   :38005   Min.   :1.0   Min.   :0.0   Min.   :1.0   Min.   : 0.0  
##  1st Qu.:46021   1st Qu.:4.0   1st Qu.:3.0   1st Qu.:2.0   1st Qu.: 0.0  
##  Median :60469   Median :4.0   Median :4.5   Median :3.5   Median : 0.0  
##  Mean   :56739   Mean   :4.1   Mean   :3.7   Mean   :4.1   Mean   : 1.8  
##  3rd Qu.:65434   3rd Qu.:5.0   3rd Qu.:5.0   3rd Qu.:5.0   3rd Qu.: 0.0  
##  Max.   :76472   Max.   :6.0   Max.   :6.0   Max.   :9.0   Max.   :18.0  
##      Aroma           Bag         CoinLost   
##  Min.   :0.00   Min.   :0.0   Min.   :11.0  
##  1st Qu.:0.00   1st Qu.:1.0   1st Qu.:21.0  
##  Median :0.50   Median :2.0   Median :47.5  
##  Mean   :1.50   Mean   :2.2   Mean   :44.4  
##  3rd Qu.:2.75   3rd Qu.:3.0   3rd Qu.:58.0  
##  Max.   :5.00   Max.   :5.0   Max.   :84.0

Plot graph

library(ggplot2) 
p <- ggplot(dt, aes(W1, W2))
p + geom_point()