Overview

Dataset statistics

Number of variables11
Number of observations2666
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory234.4 KiB
Average record size in memory90.0 B

Variable types

Numeric2
Categorical4
Text4
DateTime1

Dataset

Description2020년 이후 진행된 유원시설의 유기기구 보유현황(종류, 수량)과 안전검사(안전성검사, 확인검사)결과를 제공합니다.
Author한국관광공사
URLhttps://www.data.go.kr/data/15091155/fileData.do

Alerts

검사종류 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
검사분야 is highly overall correlated with 검사종류High correlation
번호 is highly overall correlated with 검사종류High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 14:03:57.167984
Analysis finished2024-04-21 14:04:00.805665
Duration3.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2666
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1333.5
Minimum1
Maximum2666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.6 KiB
2024-04-21T23:04:00.998365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile134.25
Q1667.25
median1333.5
Q31999.75
95-th percentile2532.75
Maximum2666
Range2665
Interquartile range (IQR)1332.5

Descriptive statistics

Standard deviation769.75223
Coefficient of variation (CV)0.57724202
Kurtosis-1.2
Mean1333.5
Median Absolute Deviation (MAD)666.5
Skewness0
Sum3555111
Variance592518.5
MonotonicityStrictly increasing
2024-04-21T23:04:01.444771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1772 1
 
< 0.1%
1774 1
 
< 0.1%
1775 1
 
< 0.1%
1776 1
 
< 0.1%
1777 1
 
< 0.1%
1778 1
 
< 0.1%
1779 1
 
< 0.1%
1780 1
 
< 0.1%
1781 1
 
< 0.1%
Other values (2656) 2656
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2666 1
< 0.1%
2665 1
< 0.1%
2664 1
< 0.1%
2663 1
< 0.1%
2662 1
< 0.1%
2661 1
< 0.1%
2660 1
< 0.1%
2659 1
< 0.1%
2658 1
< 0.1%
2657 1
< 0.1%

검사종류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
확인검사
1442 
안전성검사
1224 

Length

Max length5
Median length4
Mean length4.4591148
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안전성검사
2nd row안전성검사
3rd row안전성검사
4th row안전성검사
5th row안전성검사

Common Values

ValueCountFrequency (%)
확인검사 1442
54.1%
안전성검사 1224
45.9%

Length

2024-04-21T23:04:01.873932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T23:04:02.187806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
확인검사 1442
54.1%
안전성검사 1224
45.9%

검사분야
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
정기검사
716 
정기확인검사
624 
최초검사(현장)
615 
재검사
355 
최초검사(서류)
201 
Other values (3)
155 

Length

Max length8
Median length6
Mean length5.6387847
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row허가전검사
2nd row허가전검사
3rd row정기검사
4th row정기검사
5th row정기검사

Common Values

ValueCountFrequency (%)
정기검사 716
26.9%
정기확인검사 624
23.4%
최초검사(현장) 615
23.1%
재검사 355
13.3%
최초검사(서류) 201
 
7.5%
허가전검사 134
 
5.0%
반기별 정기검사 19
 
0.7%
재확인검사 2
 
0.1%

Length

2024-04-21T23:04:02.525330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T23:04:02.862861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기검사 735
27.4%
정기확인검사 624
23.2%
최초검사(현장 615
22.9%
재검사 355
13.2%
최초검사(서류 201
 
7.5%
허가전검사 134
 
5.0%
반기별 19
 
0.7%
재확인검사 2
 
0.1%

업체명
Text

Distinct723
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
2024-04-21T23:04:03.671776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length21
Mean length8.7344336
Min length2

Characters and Unicode

Total characters23286
Distinct characters505
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)8.5%

Sample

1st row김해랜드
2nd row휴앤조이
3rd row(주)웅진플레이도시
4th row(주)웅진플레이도시
5th row(주)웅진플레이도시
ValueCountFrequency (%)
주식회사 223
 
6.1%
구미산업개발(주 62
 
1.7%
주)하양 48
 
1.3%
공무원연금공단 37
 
1.0%
천안상록리조트 37
 
1.0%
키즈카페 36
 
1.0%
주)플레이타임그룹 36
 
1.0%
뽀로로파크 33
 
0.9%
㈜두리랜드 33
 
0.9%
헬로방방 32
 
0.9%
Other values (850) 3087
84.3%
2024-04-21T23:04:04.624779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1252
 
5.4%
1000
 
4.3%
( 957
 
4.1%
) 957
 
4.1%
이 612
 
2.6%
드 565
 
2.4%
점 513
 
2.2%
리 461
 
2.0%
스 433
 
1.9%
랜 403
 
1.7%
Other values (495) 16133
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19687
84.5%
Space Separator 1000
 
4.3%
Open Punctuation 957
 
4.1%
Close Punctuation 957
 
4.1%
Lowercase Letter 350
 
1.5%
Uppercase Letter 157
 
0.7%
Other Punctuation 77
 
0.3%
Other Symbol 66
 
0.3%
Decimal Number 20
 
0.1%
Dash Punctuation 15
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1252
 
6.4%
이 612
 
3.1%
드 565
 
2.9%
점 513
 
2.6%
리 461
 
2.3%
스 433
 
2.2%
랜 403
 
2.0%
사 395
 
2.0%
회 346
 
1.8%
산 335
 
1.7%
Other values (453) 14372
73.0%
Uppercase Letter
ValueCountFrequency (%)
C 30
19.1%
K 29
18.5%
L 28
17.8%
T 12
 
7.6%
V 11
 
7.0%
I 10
 
6.4%
J 9
 
5.7%
E 8
 
5.1%
R 7
 
4.5%
S 4
 
2.5%
Other values (6) 9
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
e 60
17.1%
c 60
17.1%
o 56
16.0%
m 56
16.0%
r 33
9.4%
d 32
9.1%
t 28
8.0%
a 8
 
2.3%
v 5
 
1.4%
l 4
 
1.1%
Other values (2) 8
 
2.3%
Decimal Number
ValueCountFrequency (%)
2 6
30.0%
1 4
20.0%
8 4
20.0%
9 4
20.0%
4 1
 
5.0%
5 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 37
48.1%
, 28
36.4%
& 12
 
15.6%
Space Separator
ValueCountFrequency (%)
1000
100.0%
Open Punctuation
ValueCountFrequency (%)
( 957
100.0%
Close Punctuation
ValueCountFrequency (%)
) 957
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19753
84.8%
Common 3026
 
13.0%
Latin 507
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1252
 
6.3%
이 612
 
3.1%
드 565
 
2.9%
점 513
 
2.6%
리 461
 
2.3%
스 433
 
2.2%
랜 403
 
2.0%
사 395
 
2.0%
회 346
 
1.8%
산 335
 
1.7%
Other values (454) 14438
73.1%
Latin
ValueCountFrequency (%)
e 60
11.8%
c 60
11.8%
o 56
11.0%
m 56
11.0%
r 33
 
6.5%
d 32
 
6.3%
C 30
 
5.9%
K 29
 
5.7%
L 28
 
5.5%
t 28
 
5.5%
Other values (18) 95
18.7%
Common
ValueCountFrequency (%)
1000
33.0%
( 957
31.6%
) 957
31.6%
. 37
 
1.2%
, 28
 
0.9%
- 15
 
0.5%
& 12
 
0.4%
2 6
 
0.2%
1 4
 
0.1%
8 4
 
0.1%
Other values (3) 6
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19687
84.5%
ASCII 3533
 
15.2%
None 66
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1252
 
6.4%
이 612
 
3.1%
드 565
 
2.9%
점 513
 
2.6%
리 461
 
2.3%
스 433
 
2.2%
랜 403
 
2.0%
사 395
 
2.0%
회 346
 
1.8%
산 335
 
1.7%
Other values (453) 14372
73.0%
ASCII
ValueCountFrequency (%)
1000
28.3%
( 957
27.1%
) 957
27.1%
e 60
 
1.7%
c 60
 
1.7%
o 56
 
1.6%
m 56
 
1.6%
. 37
 
1.0%
r 33
 
0.9%
d 32
 
0.9%
Other values (31) 285
 
8.1%
None
ValueCountFrequency (%)
㈜ 66
100.0%

영업소명
Text

Distinct783
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
2024-04-21T23:04:05.430488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length8.2134284
Min length2

Characters and Unicode

Total characters21897
Distinct characters533
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique255 ?
Unique (%)9.6%

Sample

1st row김해랜드
2nd row휴앤조이(가은역 꼬마열차)
3rd row(주)웅진플레이도시
4th row(주)웅진플레이도시
5th row(주)웅진플레이도시
ValueCountFrequency (%)
주식회사 126
 
3.4%
어린이대공원 59
 
1.6%
키즈카페 39
 
1.1%
상록랜드 37
 
1.0%
㈜두리랜드 33
 
0.9%
헬로방방 31
 
0.8%
워터파크 31
 
0.8%
주)강원랜드하이원워터월드 28
 
0.8%
평화랜드 28
 
0.8%
중흥골드스파&리조트 28
 
0.8%
Other values (967) 3214
88.0%
2024-04-21T23:04:06.476308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1009
 
4.6%
드 818
 
3.7%
주 667
 
3.0%
이 630
 
2.9%
점 550
 
2.5%
랜 524
 
2.4%
) 520
 
2.4%
( 517
 
2.4%
파 483
 
2.2%
스 480
 
2.2%
Other values (523) 15699
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19202
87.7%
Space Separator 1009
 
4.6%
Close Punctuation 520
 
2.4%
Open Punctuation 517
 
2.4%
Uppercase Letter 280
 
1.3%
Lowercase Letter 152
 
0.7%
Decimal Number 68
 
0.3%
Other Punctuation 67
 
0.3%
Other Symbol 65
 
0.3%
Dash Punctuation 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 818
 
4.3%
주 667
 
3.5%
이 630
 
3.3%
점 550
 
2.9%
랜 524
 
2.7%
파 483
 
2.5%
스 480
 
2.5%
리 465
 
2.4%
크 398
 
2.1%
즈 300
 
1.6%
Other values (475) 13887
72.3%
Uppercase Letter
ValueCountFrequency (%)
V 49
17.5%
R 48
17.1%
E 22
7.9%
Z 21
7.5%
K 20
 
7.1%
N 19
 
6.8%
T 15
 
5.4%
O 13
 
4.6%
I 12
 
4.3%
C 10
 
3.6%
Other values (8) 51
18.2%
Lowercase Letter
ValueCountFrequency (%)
e 28
18.4%
o 24
15.8%
c 20
13.2%
t 16
10.5%
m 16
10.5%
d 12
7.9%
r 8
 
5.3%
k 8
 
5.3%
a 8
 
5.3%
n 4
 
2.6%
Other values (2) 8
 
5.3%
Decimal Number
ValueCountFrequency (%)
0 21
30.9%
2 11
16.2%
1 9
13.2%
7 8
 
11.8%
5 7
 
10.3%
9 6
 
8.8%
8 4
 
5.9%
3 1
 
1.5%
4 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
& 43
64.2%
. 16
 
23.9%
, 8
 
11.9%
Space Separator
ValueCountFrequency (%)
1009
100.0%
Close Punctuation
ValueCountFrequency (%)
) 520
100.0%
Open Punctuation
ValueCountFrequency (%)
( 517
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19267
88.0%
Common 2198
 
10.0%
Latin 432
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 818
 
4.2%
주 667
 
3.5%
이 630
 
3.3%
점 550
 
2.9%
랜 524
 
2.7%
파 483
 
2.5%
스 480
 
2.5%
리 465
 
2.4%
크 398
 
2.1%
즈 300
 
1.6%
Other values (476) 13952
72.4%
Latin
ValueCountFrequency (%)
V 49
 
11.3%
R 48
 
11.1%
e 28
 
6.5%
o 24
 
5.6%
E 22
 
5.1%
Z 21
 
4.9%
c 20
 
4.6%
K 20
 
4.6%
N 19
 
4.4%
t 16
 
3.7%
Other values (20) 165
38.2%
Common
ValueCountFrequency (%)
1009
45.9%
) 520
23.7%
( 517
23.5%
& 43
 
2.0%
0 21
 
1.0%
. 16
 
0.7%
- 13
 
0.6%
2 11
 
0.5%
1 9
 
0.4%
, 8
 
0.4%
Other values (7) 31
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19202
87.7%
ASCII 2630
 
12.0%
None 65
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1009
38.4%
) 520
19.8%
( 517
19.7%
V 49
 
1.9%
R 48
 
1.8%
& 43
 
1.6%
e 28
 
1.1%
o 24
 
0.9%
E 22
 
0.8%
Z 21
 
0.8%
Other values (37) 349
 
13.3%
Hangul
ValueCountFrequency (%)
드 818
 
4.3%
주 667
 
3.5%
이 630
 
3.3%
점 550
 
2.9%
랜 524
 
2.7%
파 483
 
2.5%
스 480
 
2.5%
리 465
 
2.4%
크 398
 
2.1%
즈 300
 
1.6%
Other values (475) 13887
72.3%
None
ValueCountFrequency (%)
㈜ 65
100.0%

대표유기기구명
Text

Distinct96
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
2024-04-21T23:04:07.194417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length13
Mean length4.771943
Min length2

Characters and Unicode

Total characters12722
Distinct characters171
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)0.5%

Sample

1st row매직스윙
2nd row꼬마기차
3rd row유수풀
4th row직선슬라이드
5th row파도풀
ValueCountFrequency (%)
붕붕뜀틀 737
27.6%
바디슬라이드 155
 
5.8%
미니라이더 143
 
5.4%
바이킹 94
 
3.5%
수중모험놀이 91
 
3.4%
회전형라이더 83
 
3.1%
영상모험관 74
 
2.8%
미니에어바운스 71
 
2.7%
무궤도열차 70
 
2.6%
회전목마 63
 
2.4%
Other values (87) 1086
40.7%
2024-04-21T23:04:08.164345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
붕 1474
 
11.6%
이 916
 
7.2%
뜀 737
 
5.8%
틀 737
 
5.8%
라 583
 
4.6%
니 421
 
3.3%
미 421
 
3.3%
바 361
 
2.8%
슬 339
 
2.7%
드 337
 
2.6%
Other values (161) 6396
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12676
99.6%
Uppercase Letter 20
 
0.2%
Decimal Number 20
 
0.2%
Other Punctuation 4
 
< 0.1%
Space Separator 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
붕 1474
 
11.6%
이 916
 
7.2%
뜀 737
 
5.8%
틀 737
 
5.8%
라 583
 
4.6%
니 421
 
3.3%
미 421
 
3.3%
바 361
 
2.8%
슬 339
 
2.7%
드 337
 
2.7%
Other values (155) 6350
50.1%
Decimal Number
ValueCountFrequency (%)
4 10
50.0%
3 10
50.0%
Uppercase Letter
ValueCountFrequency (%)
D 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12676
99.6%
Common 26
 
0.2%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
붕 1474
 
11.6%
이 916
 
7.2%
뜀 737
 
5.8%
틀 737
 
5.8%
라 583
 
4.6%
니 421
 
3.3%
미 421
 
3.3%
바 361
 
2.8%
슬 339
 
2.7%
드 337
 
2.7%
Other values (155) 6350
50.1%
Common
ValueCountFrequency (%)
4 10
38.5%
3 10
38.5%
, 4
 
15.4%
1
 
3.8%
+ 1
 
3.8%
Latin
ValueCountFrequency (%)
D 20
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12676
99.6%
ASCII 46
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
붕 1474
 
11.6%
이 916
 
7.2%
뜀 737
 
5.8%
틀 737
 
5.8%
라 583
 
4.6%
니 421
 
3.3%
미 421
 
3.3%
바 361
 
2.8%
슬 339
 
2.7%
드 337
 
2.7%
Other values (155) 6350
50.1%
ASCII
ValueCountFrequency (%)
D 20
43.5%
4 10
21.7%
3 10
21.7%
, 4
 
8.7%
1
 
2.2%
+ 1
 
2.2%

공원내호칭
Text

Distinct1219
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
2024-04-21T23:04:08.980824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length5.9444861
Min length1

Characters and Unicode

Total characters15848
Distinct characters503
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique881 ?
Unique (%)33.0%

Sample

1st row슬라이드카
2nd row미니기차
3rd row수로풀
4th row레인보우슬라이드
5th row다용도풀
ValueCountFrequency (%)
트램폴린 159
 
5.3%
붕붕뜀틀 129
 
4.3%
회전목마 81
 
2.7%
붕붕뜀틀2 66
 
2.2%
붕붕뜀틀1 64
 
2.1%
미니기차 53
 
1.8%
미니바이킹 44
 
1.5%
바이킹 40
 
1.3%
바디슬라이드 36
 
1.2%
범퍼카 29
 
1.0%
Other values (1217) 2310
76.7%
2024-04-21T23:04:10.034196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 850
 
5.4%
붕 672
 
4.2%
트 560
 
3.5%
라 441
 
2.8%
린 434
 
2.7%
드 401
 
2.5%
램 378
 
2.4%
스 377
 
2.4%
346
 
2.2%
틀 343
 
2.2%
Other values (493) 11046
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13375
84.4%
Decimal Number 792
 
5.0%
Space Separator 346
 
2.2%
Lowercase Letter 333
 
2.1%
Uppercase Letter 315
 
2.0%
Close Punctuation 241
 
1.5%
Open Punctuation 240
 
1.5%
Dash Punctuation 179
 
1.1%
Other Punctuation 20
 
0.1%
Connector Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 850
 
6.4%
붕 672
 
5.0%
트 560
 
4.2%
라 441
 
3.3%
린 434
 
3.2%
드 401
 
3.0%
램 378
 
2.8%
스 377
 
2.8%
틀 343
 
2.6%
뜀 336
 
2.5%
Other values (421) 8583
64.2%
Uppercase Letter
ValueCountFrequency (%)
R 51
16.2%
V 46
14.6%
D 33
10.5%
M 19
 
6.0%
S 17
 
5.4%
A 17
 
5.4%
E 15
 
4.8%
C 14
 
4.4%
B 13
 
4.1%
I 12
 
3.8%
Other values (15) 78
24.8%
Lowercase Letter
ValueCountFrequency (%)
e 39
 
11.7%
l 35
 
10.5%
i 29
 
8.7%
n 24
 
7.2%
a 21
 
6.3%
g 20
 
6.0%
r 18
 
5.4%
t 17
 
5.1%
y 16
 
4.8%
m 14
 
4.2%
Other values (14) 100
30.0%
Decimal Number
ValueCountFrequency (%)
2 290
36.6%
1 271
34.2%
3 68
 
8.6%
4 67
 
8.5%
6 21
 
2.7%
5 20
 
2.5%
7 16
 
2.0%
8 16
 
2.0%
0 12
 
1.5%
9 11
 
1.4%
Other Punctuation
ValueCountFrequency (%)
# 10
50.0%
, 4
 
20.0%
! 2
 
10.0%
: 1
 
5.0%
? 1
 
5.0%
; 1
 
5.0%
& 1
 
5.0%
Space Separator
ValueCountFrequency (%)
346
100.0%
Close Punctuation
ValueCountFrequency (%)
) 241
100.0%
Open Punctuation
ValueCountFrequency (%)
( 240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 179
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Math Symbol
ValueCountFrequency (%)
↔ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13375
84.4%
Common 1825
 
11.5%
Latin 648
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 850
 
6.4%
붕 672
 
5.0%
트 560
 
4.2%
라 441
 
3.3%
린 434
 
3.2%
드 401
 
3.0%
램 378
 
2.8%
스 377
 
2.8%
틀 343
 
2.6%
뜀 336
 
2.5%
Other values (421) 8583
64.2%
Latin
ValueCountFrequency (%)
R 51
 
7.9%
V 46
 
7.1%
e 39
 
6.0%
l 35
 
5.4%
D 33
 
5.1%
i 29
 
4.5%
n 24
 
3.7%
a 21
 
3.2%
g 20
 
3.1%
M 19
 
2.9%
Other values (39) 331
51.1%
Common
ValueCountFrequency (%)
346
19.0%
2 290
15.9%
1 271
14.8%
) 241
13.2%
( 240
13.2%
- 179
9.8%
3 68
 
3.7%
4 67
 
3.7%
6 21
 
1.2%
5 20
 
1.1%
Other values (13) 82
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13375
84.4%
ASCII 2471
 
15.6%
Arrows 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 850
 
6.4%
붕 672
 
5.0%
트 560
 
4.2%
라 441
 
3.3%
린 434
 
3.2%
드 401
 
3.0%
램 378
 
2.8%
스 377
 
2.8%
틀 343
 
2.6%
뜀 336
 
2.5%
Other values (421) 8583
64.2%
ASCII
ValueCountFrequency (%)
346
14.0%
2 290
11.7%
1 271
11.0%
) 241
 
9.8%
( 240
 
9.7%
- 179
 
7.2%
3 68
 
2.8%
4 67
 
2.7%
R 51
 
2.1%
V 46
 
1.9%
Other values (61) 672
27.2%
Arrows
ValueCountFrequency (%)
↔ 2
100.0%

승용물대수
Real number (ℝ)

Distinct36
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0416354
Minimum1
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.6 KiB
2024-04-21T23:04:10.347815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum200
Range199
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.3806348
Coefficient of variation (CV)4.1048635
Kurtosis254.07966
Mean2.0416354
Median Absolute Deviation (MAD)0
Skewness14.646613
Sum5443
Variance70.235039
MonotonicityNot monotonic
2024-04-21T23:04:10.773987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1 2435
91.3%
2 71
 
2.7%
10 19
 
0.7%
4 19
 
0.7%
3 18
 
0.7%
5 18
 
0.7%
6 14
 
0.5%
12 10
 
0.4%
15 9
 
0.3%
8 9
 
0.3%
Other values (26) 44
 
1.7%
ValueCountFrequency (%)
1 2435
91.3%
2 71
 
2.7%
3 18
 
0.7%
4 19
 
0.7%
5 18
 
0.7%
6 14
 
0.5%
7 3
 
0.1%
8 9
 
0.3%
9 1
 
< 0.1%
10 19
 
0.7%
ValueCountFrequency (%)
200 1
< 0.1%
153 1
< 0.1%
140 2
0.1%
113 1
< 0.1%
110 1
< 0.1%
100 1
< 0.1%
95 1
< 0.1%
89 1
< 0.1%
80 1
< 0.1%
60 1
< 0.1%

검사결과
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
적합
1576 
적합(개선)
1085 
부적합
 
5

Length

Max length6
Median length2
Mean length3.6297824
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row적합(개선)
2nd row적합(개선)
3rd row적합
4th row적합
5th row적합

Common Values

ValueCountFrequency (%)
적합 1576
59.1%
적합(개선) 1085
40.7%
부적합 5
 
0.2%

Length

2024-04-21T23:04:11.230186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T23:04:11.571916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
적합 1576
59.1%
적합(개선 1085
40.7%
부적합 5
 
0.2%

검사완료일
Date

Distinct336
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
Minimum2020-01-02 00:00:00
Maximum2021-08-04 00:00:00
2024-04-21T23:04:11.913880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T23:04:12.353919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

검사기관
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.0 KiB
한국기계전기전자시험연구원
1427 
안전보건진흥원
1237 
진흥원
 
2

Length

Max length13
Median length13
Mean length10.208552
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row안전보건진흥원
2nd row안전보건진흥원
3rd row안전보건진흥원
4th row안전보건진흥원
5th row안전보건진흥원

Common Values

ValueCountFrequency (%)
한국기계전기전자시험연구원 1427
53.5%
안전보건진흥원 1237
46.4%
진흥원 2
 
0.1%

Length

2024-04-21T23:04:12.762397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T23:04:13.082222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국기계전기전자시험연구원 1427
53.5%
안전보건진흥원 1237
46.4%
진흥원 2
 
0.1%

Interactions

2024-04-21T23:03:59.434725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T23:03:58.909686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T23:03:59.701293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T23:03:59.160107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T23:04:13.287471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호검사종류검사분야대표유기기구명승용물대수검사결과검사기관
번호1.0000.9940.6730.7500.0800.3900.641
검사종류0.9941.0001.0001.0000.0660.1860.052
검사분야0.6731.0001.0000.9050.1910.4350.263
대표유기기구명0.7501.0000.9051.0000.5100.5680.441
승용물대수0.0800.0660.1910.5101.0000.0000.000
검사결과0.3900.1860.4350.5680.0001.0000.437
검사기관0.6410.0520.2630.4410.0000.4371.000
2024-04-21T23:04:13.566606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
검사종류검사결과검사기관검사분야
검사종류1.0000.3060.0860.999
검사결과0.3061.0000.1660.308
검사기관0.0860.1661.0000.172
검사분야0.9990.3080.1721.000
2024-04-21T23:04:13.831115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호승용물대수검사종류검사분야검사결과검사기관
번호1.000-0.0080.9320.4030.2540.488
승용물대수-0.0081.0000.0650.0940.0000.000
검사종류0.9320.0651.0000.9990.3060.086
검사분야0.4030.0940.9991.0000.3080.172
검사결과0.2540.0000.3060.3081.0000.166
검사기관0.4880.0000.0860.1720.1661.000

Missing values

2024-04-21T23:04:00.092803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T23:04:00.593352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호검사종류검사분야업체명영업소명대표유기기구명공원내호칭승용물대수검사결과검사완료일검사기관
01안전성검사허가전검사김해랜드김해랜드매직스윙슬라이드카1적합(개선)2021-01-12안전보건진흥원
12안전성검사허가전검사휴앤조이휴앤조이(가은역 꼬마열차)꼬마기차미니기차1적합(개선)2021-01-20안전보건진흥원
23안전성검사정기검사(주)웅진플레이도시(주)웅진플레이도시유수풀수로풀1적합2021-02-24안전보건진흥원
34안전성검사정기검사(주)웅진플레이도시(주)웅진플레이도시직선슬라이드레인보우슬라이드1적합2021-02-24안전보건진흥원
45안전성검사정기검사(주)웅진플레이도시(주)웅진플레이도시파도풀다용도풀1적합2021-02-24안전보건진흥원
56안전성검사정기검사(주)웅진플레이도시(주)웅진플레이도시바디슬라이드스페이스트랙11적합2021-02-24안전보건진흥원
67안전성검사정기검사(주)웅진플레이도시(주)웅진플레이도시바디슬라이드스페이스트랙21적합2021-02-24안전보건진흥원
78안전성검사정기검사(주)웅진플레이도시(주)웅진플레이도시보올슬라이드스페이스볼1적합2021-02-24안전보건진흥원
89안전성검사정기검사(주)웅진플레이도시(주)웅진플레이도시수중모험놀이아쿠아플레이1적합2021-02-24안전보건진흥원
910안전성검사정기검사(주)웅진플레이도시(주)웅진플레이도시바디슬라이드어린이슬라이드1적합2021-02-24안전보건진흥원
번호검사종류검사분야업체명영업소명대표유기기구명공원내호칭승용물대수검사결과검사완료일검사기관
26562657확인검사최초검사(서류)(주)호텔롯데롯데월드(주)호텔롯데롯데월드오토바이타기스피드라이더31적합2021-07-19한국기계전기전자시험연구원
26572658확인검사최초검사(서류)(주)호텔롯데롯데월드(주)호텔롯데롯데월드자동차경주이니셜D82적합2021-07-19한국기계전기전자시험연구원
26582659확인검사정기확인검사키즈플레잉키즈플레잉 비산붕붕뜀틀붕붕뜀틀11적합(개선)2021-07-22한국기계전기전자시험연구원
26592660확인검사정기확인검사키즈플레잉키즈플레잉 비산붕붕뜀틀붕붕뜀틀21적합(개선)2021-07-22한국기계전기전자시험연구원
26602661확인검사정기확인검사(주)동영뉴비즈(주)동영뉴비즈붕붕뜀틀붕붕뜀틀(7세미만)1적합2021-07-26한국기계전기전자시험연구원
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