Overview

Data Structures
Divisions Metrics Values
size observations 1,087
size variables 56
size values 60,872
size memory size (MB) 1
duplicated duplicate observation 0
missing complete observation 0
missing missing observation 1,087
missing missing variables 50
missing missing values 29,435
Data Types
Divisions Metrics Values
data type numerics 10
data type integers 0
data type factors/ordered 0
data type characters 45
data type Dates 1
data type POSIXcts 0
data type others 0
Job Informations
Divisions Metrics Values
dataset dataset df
dataset dataset type spec_tbl_df
dataset target not defied
job samples 1,087 / 1,087 (100%)
job created 2023-05-07 21:43:44
job created by Brian Julius






Univariate Analysis

Descriptive Statistics

Descriptive statistics and visualization of individual variables
Variables
Missing (%)
Distincts (Ratio)
Zeros
Negatives
Outliers
​
coaster_name
character
0
(0)
990
(0.911)
-
-
-
​
Length
character
134
(12.33)
570
(0.524)
-
-
-
​
Speed
character
150
(13.8)
244
(0.224)
-
-
-
​
Location
character
0
(0)
280
(0.258)
-
-
-
​
Status
character
213
(19.6)
16
(0.015)
-
-
-
​
Opening date
character
250
(23)
657
(0.604)
-
-
-
​
Type
character
0
(0)
98
(0.09)
-
-
-
​
Manufacturer
character
59
(5.43)
103
(0.095)
-
-
-
​
Height restriction
character
256
(23.55)
101
(0.093)
-
-
-
​
Model
character
343
(31.55)
318
(0.293)
-
-
-
1–10 of 56 rows


Normality Test

Normality test results of numeric variables
Variables
Mean
Min
Q1
Median
Q3
Max
Balance
​
Inversions
1.55
0
0
0
3
14
Right-Skewed
​
year_introduced
1994.99
1884
1989
2000
2010
2022
Left-Skewed
​
latitude
38.37
-48.2617
35.03105
40.2898
44.7996
63.2309
Left-Skewed
​
longitude
-41.6
-123.0357
-84.5522
-76.6536
2.7781
153.4265
Right-Skewed
​
speed1_value
53.85
5
40
50
63
240
Right-Skewed
​
speed_mph
48.62
5
37.3
49.7
58
149.1
Balanced
​
height_value
89.58
4
44
79
113
3937
Right-Skewed
​
height_ft
102
13.1
51.8
91.2
131.2
377.3
Right-Skewed
​
Inversions_clean
1.33
0
0
0
2
14
Right-Skewed
​
Gforce_clean
3.82
0.8
3.4
4
4.5
12
Balanced


Bivariate Analysis

Compare Numerical Variables

Relationship between two numerical variables
First Variable
Second Variable
Correlation Coefficient
​
Inversions
year_introduced
0.21100
​
Inversions
latitude
-0.00982
​
Inversions
longitude
0.06159
​
Inversions
speed1_value
0.16342
​
Inversions
speed_mph
0.25221
​
Inversions
height_value
0.09481
​
Inversions
height_ft
0.17133
​
Inversions
Inversions_clean
1.00000
​
Inversions
Gforce_clean
0.35687
​
year_introduced
latitude
-0.07098
1–10 of 45 rows


Compare Categorical Variables

The number of categorical variables is less than 2.


Multivariate Analysis

Correlation Analysis

Correlation Matrix

Correlation coefficient matrix of numeric variables
​
Second Variable
First Variable
Inversions
year_introduced
latitude
longitude
speed1_value
speed_mph
height_value
height_ft
Inversions_clean
Gforce_clean
Inversions
​
0.211
-0.010
0.062
0.163
0.252
0.095
0.171
1.000
0.357
year_introduced
0.211
​
-0.071
0.176
0.210
0.205
0.088
0.232
0.229
-0.067
latitude
-0.010
-0.071
​
-0.298
-0.122
-0.064
-0.004
0.011
-0.014
0.043
longitude
0.062
0.176
-0.298
​
0.301
0.051
-0.093
0.160
0.087
0.016
speed1_value
0.163
0.210
-0.122
0.301
​
0.852
0.089
0.815
0.176
0.380
speed_mph
0.252
0.205
-0.064
0.051
0.852
​
0.241
0.829
0.266
0.489
height_value
0.095
0.088
-0.004
-0.093
0.089
0.241
​
1.000
0.108
0.337
height_ft
0.171
0.232
0.011
0.160
0.815
0.829
1.000
​
0.164
0.475
Inversions_clean
1.000
0.229
-0.014
0.087
0.176
0.266
0.108
0.164
​
0.345
Gforce_clean
0.357
-0.067
0.043
0.016
0.380
0.489
0.337
0.475
0.345
​


Correlation Plot

Correlation coefficient matrix plot


 

Created by dlookr package