AAQ1
Fyzeenur Afrina Binti Tajul Aznam (U2001149/2)
30/12/2021
Question 1(a)
Plant Growth Data set
Basically this data set is about the relationship between the weight and the group of Plant Growth
The current time is r time
PlantGrowth Data
Data taken from data() function in the R studio library .
data()
data("PlantGrowth")
PlantGrowth## weight group
## 1 4.17 ctrl
## 2 5.58 ctrl
## 3 5.18 ctrl
## 4 6.11 ctrl
## 5 4.50 ctrl
## 6 4.61 ctrl
## 7 5.17 ctrl
## 8 4.53 ctrl
## 9 5.33 ctrl
## 10 5.14 ctrl
## 11 4.81 trt1
## 12 4.17 trt1
## 13 4.41 trt1
## 14 3.59 trt1
## 15 5.87 trt1
## 16 3.83 trt1
## 17 6.03 trt1
## 18 4.89 trt1
## 19 4.32 trt1
## 20 4.69 trt1
## 21 6.31 trt2
## 22 5.12 trt2
## 23 5.54 trt2
## 24 5.50 trt2
## 25 5.37 trt2
## 26 5.29 trt2
## 27 4.92 trt2
## 28 6.15 trt2
## 29 5.80 trt2
## 30 5.26 trt2EDA of the PlantGrowth dataset
min,mean,interquartile and varience of the weight of plants
set.seed(100)
x <-rnorm(100)
mean(PlantGrowth$weight)## [1] 5.073mean(PlantGrowth$weight)## [1] 5.073median(PlantGrowth$weight)## [1] 5.155sd(PlantGrowth$weight)## [1] 0.7011918min(PlantGrowth$weight)## [1] 3.59min(PlantGrowth$weight)## [1] 3.59IQR(PlantGrowth$weight)## [1] 0.98var(PlantGrowth$weight)## [1] 0.49167Exploratory Data analysis
Summaries of the PlantGrowth dataset
## weight group
## Min. :3.590 ctrl:10
## 1st Qu.:4.550 trt1:10
## Median :5.155 trt2:10
## Mean :5.073
## 3rd Qu.:5.530
## Max. :6.310Head and Tail of the data
Head is the first 6 dataset
Tail is the last 6 dataset
## weight group
## 1 4.17 ctrl
## 2 5.58 ctrl
## 3 5.18 ctrl
## 4 6.11 ctrl
## 5 4.50 ctrl
## 6 4.61 ctrl## weight group
## 25 5.37 trt2
## 26 5.29 trt2
## 27 4.92 trt2
## 28 6.15 trt2
## 29 5.80 trt2
## 30 5.26 trt2Data visualization
CODEBOOK
## ================================================================================
##
## weight
##
## --------------------------------------------------------------------------------
##
## Storage mode: double
##
## Min: 3.590
## Max: 6.310
## Mean: 5.073
## Std.Dev.: 0.689
## Skewness: -0.153
## Kurtosis: -0.659
##
## ================================================================================
##
## group
##
## --------------------------------------------------------------------------------
##
## Storage mode: integer
## Factor with 3 levels
##
## Levels and labels N Valid
##
## 1 'ctrl' 10 33.3
## 2 'trt1' 10 33.3
## 3 'trt2' 10 33.3Question 1(b)
Online data taken
Marvel
## ï..Movie Year IMDB_Score RunTime.min.
## 1 Spider-Man: Homecoming 2017 7.4 133
## 2 Avengers: Age of Ultron 2015 7.3 141
## 3 The Falcon and the Winter Soldier 2021 7.5 50
## 4 WandaVision 2021 8.1 350
## 5 Spider-Man: No Way Home 2021 7.0 154
## 6 Black Widow 2021 6.8 133
## 7 Avengers: Endgame 2019 8.4 181
## 8 Guardians of the Galaxy 2014 8.0 121
## 9 Shang-Chi and the Legend of the Ten Rings 2021 8.9 124
## 10 Spider-Man: Far from Home 2019 7.5 129
## 11 Thor: Ragnarok 2017 7.9 130
## 12 Avengers: Infinity War 2018 8.4 149
## 13 Black Panther 2018 7.3 134
## 14 Captain Marvel 2019 6.9 123Functions of dplyr for data manipulation
filter – It filters the data based on a condition
select – It is used to select columns of interest from a data set
arrange – It is used to arrange data set values on ascending or descending order
mutate – It is used to create new variables from existing variables
summarise (with group_by) – It is used to perform analysis by commonly used
operations such as min, max, mean count etc
## Warning: package 'dplyr' was built under R version 4.1.2## ï..Movie Year IMDB_Score RunTime.min.
## 1 WandaVision 2021 8.1 350
## 2 Avengers: Endgame 2019 8.4 181
## 3 Guardians of the Galaxy 2014 8.0 121
## 4 Shang-Chi and the Legend of the Ten Rings 2021 8.9 124
## 5 Thor: Ragnarok 2017 7.9 130
## 6 Avengers: Infinity War 2018 8.4 149## ï..Movie Year IMDB_Score RunTime.min.
## 1 Shang-Chi and the Legend of the Ten Rings 2021 8.9 124
## 2 Avengers: Endgame 2019 8.4 181
## 3 Avengers: Infinity War 2018 8.4 149
## 4 WandaVision 2021 8.1 350
## 5 Guardians of the Galaxy 2014 8.0 121
## 6 Thor: Ragnarok 2017 7.9 130
## 7 The Falcon and the Winter Soldier 2021 7.5 50
## 8 Spider-Man: Far from Home 2019 7.5 129
## 9 Spider-Man: Homecoming 2017 7.4 133
## 10 Avengers: Age of Ultron 2015 7.3 141
## 11 Black Panther 2018 7.3 134
## 12 Spider-Man: No Way Home 2021 7.0 154
## 13 Captain Marvel 2019 6.9 123
## 14 Black Widow 2021 6.8 133## ï..Movie Year IMDB_Score RunTime.min.
## 1 Spider-Man: Homecoming 2017 7.4 133
## 2 Avengers: Age of Ultron 2015 7.3 141
## 3 The Falcon and the Winter Soldier 2021 7.5 50
## 4 WandaVision 2021 8.1 350
## 5 Spider-Man: No Way Home 2021 7.0 154
## 6 Black Widow 2021 6.8 133
## 7 Avengers: Endgame 2019 8.4 181
## 8 Guardians of the Galaxy 2014 8.0 121
## 9 Shang-Chi and the Legend of the Ten Rings 2021 8.9 124
## 10 Spider-Man: Far from Home 2019 7.5 129
## 11 Thor: Ragnarok 2017 7.9 130
## 12 Avengers: Infinity War 2018 8.4 149
## 13 Black Panther 2018 7.3 134
## 14 Captain Marvel 2019 6.9 123
## runtime_h
## 1 2.2166667
## 2 2.3500000
## 3 0.8333333
## 4 5.8333333
## 5 2.5666667
## 6 2.2166667
## 7 3.0166667
## 8 2.0166667
## 9 2.0666667
## 10 2.1500000
## 11 2.1666667
## 12 2.4833333
## 13 2.2333333
## 14 2.0500000## Year ï..Movie
## 1 2017 Spider-Man: Homecoming
## 2 2015 Avengers: Age of Ultron
## 3 2021 The Falcon and the Winter Soldier
## 4 2021 WandaVision
## 5 2021 Spider-Man: No Way Home
## 6 2021 Black Widow
## 7 2019 Avengers: Endgame
## 8 2014 Guardians of the Galaxy
## 9 2021 Shang-Chi and the Legend of the Ten Rings
## 10 2019 Spider-Man: Far from Home
## 11 2017 Thor: Ragnarok
## 12 2018 Avengers: Infinity War
## 13 2018 Black Panther
## 14 2019 Captain Marvel## mean(IMDB_Score)
## 1 7.671429