Overview

Dataset statistics

Number of variables80
Number of observations122
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory77.2 KiB
Average record size in memory648.1 B

Variable types

Numeric7
Categorical69
DateTime1
Text3

Alerts

last_load_dttm has constant value ""Constant
opnsvcid is highly imbalanced (57.8%)Imbalance
opnsvcnm is highly imbalanced (57.8%)Imbalance
clgstdt is highly imbalanced (50.7%)Imbalance
clgenddt is highly imbalanced (50.7%)Imbalance
bdngsrvnm is highly imbalanced (50.8%)Imbalance
playutscntdtl is highly imbalanced (50.4%)Imbalance
culphyedcobnm is highly imbalanced (57.8%)Imbalance
capt is highly imbalanced (58.5%)Imbalance
jisgnumlay is highly imbalanced (58.5%)Imbalance
regnsenm is highly imbalanced (56.0%)Imbalance
undernumlay is highly imbalanced (58.5%)Imbalance
totnumlay is highly imbalanced (58.5%)Imbalance
skey has unique valuesUnique

Reproduction

Analysis started2024-04-17 18:45:33.989934
Analysis finished2024-04-17 18:45:34.787453
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct122
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean824.31148
Minimum45
Maximum1998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T03:45:34.842553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile97.9
Q1398.25
median743
Q31290.25
95-th percentile1860.25
Maximum1998
Range1953
Interquartile range (IQR)892

Descriptive statistics

Standard deviation545.36116
Coefficient of variation (CV)0.66159598
Kurtosis-0.78910313
Mean824.31148
Median Absolute Deviation (MAD)412
Skewness0.52428308
Sum100566
Variance297418.79
MonotonicityNot monotonic
2024-04-18T03:45:34.951701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 1
 
0.8%
1288 1
 
0.8%
1236 1
 
0.8%
1235 1
 
0.8%
1211 1
 
0.8%
1487 1
 
0.8%
1182 1
 
0.8%
1101 1
 
0.8%
1027 1
 
0.8%
1026 1
 
0.8%
Other values (112) 112
91.8%
ValueCountFrequency (%)
45 1
0.8%
51 1
0.8%
57 1
0.8%
87 1
0.8%
88 1
0.8%
89 1
0.8%
96 1
0.8%
134 1
0.8%
140 1
0.8%
147 1
0.8%
ValueCountFrequency (%)
1998 1
0.8%
1977 1
0.8%
1970 1
0.8%
1957 1
0.8%
1876 1
0.8%
1874 1
0.8%
1861 1
0.8%
1846 1
0.8%
1845 1
0.8%
1831 1
0.8%

opnsfteamcode
Real number (ℝ)

Distinct14
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3330409.8
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T03:45:35.046553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13302500
median3330000
Q33350000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)47500

Descriptive statistics

Standard deviation42023.164
Coefficient of variation (CV)0.012618016
Kurtosis-0.43444206
Mean3330409.8
Median Absolute Deviation (MAD)25000
Skewness-0.057032709
Sum4.0631 × 108
Variance1.7659463 × 109
MonotonicityNot monotonic
2024-04-18T03:45:35.132190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3330000 27
22.1%
3400000 15
12.3%
3340000 15
12.3%
3290000 10
 
8.2%
3250000 9
 
7.4%
3310000 8
 
6.6%
3320000 7
 
5.7%
3300000 7
 
5.7%
3370000 6
 
4.9%
3390000 5
 
4.1%
Other values (4) 13
10.7%
ValueCountFrequency (%)
3250000 9
 
7.4%
3260000 4
 
3.3%
3280000 1
 
0.8%
3290000 10
 
8.2%
3300000 7
 
5.7%
3310000 8
 
6.6%
3320000 7
 
5.7%
3330000 27
22.1%
3340000 15
12.3%
3350000 4
 
3.3%
ValueCountFrequency (%)
3400000 15
12.3%
3390000 5
 
4.1%
3370000 6
 
4.9%
3360000 4
 
3.3%
3350000 4
 
3.3%
3340000 15
12.3%
3330000 27
22.1%
3320000 7
 
5.7%
3310000 8
 
6.6%
3300000 7
 
5.7%

mgtno
Categorical

Distinct29
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
CDFI5272002019000001
20 
CDFI5272002019000002
16 
CDFI5272002019000003
15 
CDFI5272002020000001
7 
CDFI5272002019000004
7 
Other values (24)
57 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique8 ?
Unique (%)6.6%

Sample

1st rowCDFI5272002018000003
2nd rowCDFI5272002018000003
3rd rowCDFI5272002018000003
4th rowCDFI5272002018000008
5th rowCDFI5272002018000008

Common Values

ValueCountFrequency (%)
CDFI5272002019000001 20
16.4%
CDFI5272002019000002 16
13.1%
CDFI5272002019000003 15
12.3%
CDFI5272002020000001 7
 
5.7%
CDFI5272002019000004 7
 
5.7%
CDFI5271002019000001 7
 
5.7%
CDFI5272002019000005 7
 
5.7%
CDFI5272002018000002 3
 
2.5%
CDFI5272002018000003 3
 
2.5%
CDFI5272002018000008 3
 
2.5%
Other values (19) 34
27.9%

Length

2024-04-18T03:45:35.227385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdfi5272002019000001 20
16.4%
cdfi5272002019000002 16
13.1%
cdfi5272002019000003 15
12.3%
cdfi5272002020000001 7
 
5.7%
cdfi5272002019000004 7
 
5.7%
cdfi5271002019000001 7
 
5.7%
cdfi5272002019000005 7
 
5.7%
cdfi5271002018000004 3
 
2.5%
cdfi5271002019000003 3
 
2.5%
cdfi5272002020000002 3
 
2.5%
Other values (19) 34
27.9%

opnsvcid
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
03_07_08_P
98 
03_07_09_P
21 
03_07_03_P
 
2
03_07_01_P
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row03_07_08_P
2nd row03_07_08_P
3rd row03_07_08_P
4th row03_07_08_P
5th row03_07_08_P

Common Values

ValueCountFrequency (%)
03_07_08_P 98
80.3%
03_07_09_P 21
 
17.2%
03_07_03_P 2
 
1.6%
03_07_01_P 1
 
0.8%

Length

2024-04-18T03:45:35.313466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:35.388480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_08_p 98
80.3%
03_07_09_p 21
 
17.2%
03_07_03_p 2
 
1.6%
03_07_01_p 1
 
0.8%

updategbn
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
U
81 
I
41 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowU
5th rowU

Common Values

ValueCountFrequency (%)
U 81
66.4%
I 41
33.6%

Length

2024-04-18T03:45:35.470375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:35.539998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 81
66.4%
i 41
33.6%

updatedt
Date

Distinct67
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-10-21 02:36:15
Maximum2021-03-26 02:40:00
2024-04-18T03:45:35.622168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:45:35.736076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

opnsvcnm
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
유원시설업(기타)
98 
일반유원시설업
21 
관광유람선업
 
2
관광궤도업
 
1

Length

Max length9
Median length9
Mean length8.5737705
Min length5

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row유원시설업(기타)
2nd row유원시설업(기타)
3rd row유원시설업(기타)
4th row유원시설업(기타)
5th row유원시설업(기타)

Common Values

ValueCountFrequency (%)
유원시설업(기타) 98
80.3%
일반유원시설업 21
 
17.2%
관광유람선업 2
 
1.6%
관광궤도업 1
 
0.8%

Length

2024-04-18T03:45:35.877416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:35.961618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유원시설업(기타 98
80.3%
일반유원시설업 21
 
17.2%
관광유람선업 2
 
1.6%
관광궤도업 1
 
0.8%

bplcnm
Text

Distinct78
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-18T03:45:36.111725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length9.9918033
Min length3

Characters and Unicode

Total characters1219
Distinct characters210
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)45.1%

Sample

1st row주바운스클럽 트램폴린파크 해운대점
2nd row주바운스클럽 트램폴린파크 해운대점
3rd row주바운스클럽 트램폴린파크 해운대점
4th row제이제이파티
5th row제이제이파티
ValueCountFrequency (%)
키즈월드 16
 
6.8%
꼬마대통령 9
 
3.8%
상상체험+레이싱 9
 
3.8%
시즌3 6
 
2.5%
주식회사 5
 
2.1%
닥터밸런스 4
 
1.7%
키즈카페 4
 
1.7%
시즌2 4
 
1.7%
vr 4
 
1.7%
kong 4
 
1.7%
Other values (108) 171
72.5%
2024-04-18T03:45:36.390173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
9.4%
키 47
 
3.9%
즈 46
 
3.8%
이 42
 
3.4%
점 40
 
3.3%
드 28
 
2.3%
) 23
 
1.9%
상 23
 
1.9%
( 23
 
1.9%
주 22
 
1.8%
Other values (200) 811
66.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 969
79.5%
Space Separator 114
 
9.4%
Uppercase Letter 51
 
4.2%
Close Punctuation 23
 
1.9%
Open Punctuation 23
 
1.9%
Decimal Number 16
 
1.3%
Math Symbol 12
 
1.0%
Lowercase Letter 8
 
0.7%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
키 47
 
4.9%
즈 46
 
4.7%
이 42
 
4.3%
점 40
 
4.1%
드 28
 
2.9%
상 23
 
2.4%
주 22
 
2.3%
스 19
 
2.0%
대 18
 
1.9%
리 18
 
1.9%
Other values (169) 666
68.7%
Uppercase Letter
ValueCountFrequency (%)
O 8
15.7%
N 8
15.7%
K 8
15.7%
G 8
15.7%
V 5
9.8%
R 5
9.8%
W 2
 
3.9%
E 2
 
3.9%
Z 1
 
2.0%
M 1
 
2.0%
Other values (3) 3
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
l 2
25.0%
d 1
12.5%
r 1
12.5%
e 1
12.5%
v 1
12.5%
i 1
12.5%
o 1
12.5%
Decimal Number
ValueCountFrequency (%)
3 7
43.8%
2 4
25.0%
4 3
18.8%
5 2
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Math Symbol
ValueCountFrequency (%)
+ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 969
79.5%
Common 191
 
15.7%
Latin 59
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
키 47
 
4.9%
즈 46
 
4.7%
이 42
 
4.3%
점 40
 
4.1%
드 28
 
2.9%
상 23
 
2.4%
주 22
 
2.3%
스 19
 
2.0%
대 18
 
1.9%
리 18
 
1.9%
Other values (169) 666
68.7%
Latin
ValueCountFrequency (%)
O 8
13.6%
N 8
13.6%
K 8
13.6%
G 8
13.6%
V 5
8.5%
R 5
8.5%
W 2
 
3.4%
E 2
 
3.4%
l 2
 
3.4%
d 1
 
1.7%
Other values (10) 10
16.9%
Common
ValueCountFrequency (%)
114
59.7%
) 23
 
12.0%
( 23
 
12.0%
+ 12
 
6.3%
3 7
 
3.7%
2 4
 
2.1%
4 3
 
1.6%
5 2
 
1.0%
- 1
 
0.5%
, 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 969
79.5%
ASCII 250
 
20.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
45.6%
) 23
 
9.2%
( 23
 
9.2%
+ 12
 
4.8%
O 8
 
3.2%
N 8
 
3.2%
K 8
 
3.2%
G 8
 
3.2%
3 7
 
2.8%
V 5
 
2.0%
Other values (21) 34
 
13.6%
Hangul
ValueCountFrequency (%)
키 47
 
4.9%
즈 46
 
4.7%
이 42
 
4.3%
점 40
 
4.1%
드 28
 
2.9%
상 23
 
2.4%
주 22
 
2.3%
스 19
 
2.0%
대 18
 
1.9%
리 18
 
1.9%
Other values (169) 666
68.7%

sitepostno
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
지번우편번호
24 

Length

Max length6
Median length4
Mean length4.3934426
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row지번우편번호
5th row지번우편번호

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
지번우편번호 24
 
19.7%

Length

2024-04-18T03:45:36.497341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:36.579059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
지번우편번호 24
 
19.7%

sitewhladdr
Text

Distinct74
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-18T03:45:36.759570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length28.663934
Min length17

Characters and Unicode

Total characters3497
Distinct characters192
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

Unique52 ?
Unique (%)42.6%

Sample

1st row부산광역시 해운대구 좌동 1467-4번지 지팝건축물
2nd row부산광역시 해운대구 좌동 1467-4번지 지팝건축물
3rd row부산광역시 해운대구 좌동 1467-4번지 지팝건축물
4th row부산광역시 강서구 명지동 3420-6
5th row부산광역시 강서구 명지동 3420-6
ValueCountFrequency (%)
부산광역시 122
 
18.8%
해운대구 27
 
4.2%
우동 20
 
3.1%
벡스코제2전시장 16
 
2.5%
사하구 15
 
2.3%
기장군 15
 
2.3%
1413-4번지 14
 
2.2%
부산진구 10
 
1.5%
중구 9
 
1.4%
부전동 8
 
1.2%
Other values (195) 393
60.6%
2024-04-18T03:45:37.075241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
615
 
17.6%
부 151
 
4.3%
시 148
 
4.2%
산 146
 
4.2%
광 127
 
3.6%
역 122
 
3.5%
동 120
 
3.4%
1 115
 
3.3%
구 110
 
3.1%
2 104
 
3.0%
Other values (182) 1739
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2118
60.6%
Space Separator 615
 
17.6%
Decimal Number 611
 
17.5%
Dash Punctuation 92
 
2.6%
Uppercase Letter 40
 
1.1%
Math Symbol 13
 
0.4%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Punctuation 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 151
 
7.1%
시 148
 
7.0%
산 146
 
6.9%
광 127
 
6.0%
역 122
 
5.8%
동 120
 
5.7%
구 110
 
5.2%
지 78
 
3.7%
번 69
 
3.3%
장 53
 
2.5%
Other values (154) 994
46.9%
Uppercase Letter
ValueCountFrequency (%)
B 15
37.5%
E 8
20.0%
F 4
 
10.0%
C 4
 
10.0%
K 2
 
5.0%
S 2
 
5.0%
G 1
 
2.5%
W 1
 
2.5%
H 1
 
2.5%
U 1
 
2.5%
Decimal Number
ValueCountFrequency (%)
1 115
18.8%
2 104
17.0%
4 90
14.7%
5 61
10.0%
3 58
9.5%
9 44
 
7.2%
0 44
 
7.2%
7 43
 
7.0%
6 30
 
4.9%
8 22
 
3.6%
Space Separator
ValueCountFrequency (%)
615
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2118
60.6%
Common 1338
38.3%
Latin 41
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 151
 
7.1%
시 148
 
7.0%
산 146
 
6.9%
광 127
 
6.0%
역 122
 
5.8%
동 120
 
5.7%
구 110
 
5.2%
지 78
 
3.7%
번 69
 
3.3%
장 53
 
2.5%
Other values (154) 994
46.9%
Common
ValueCountFrequency (%)
615
46.0%
1 115
 
8.6%
2 104
 
7.8%
- 92
 
6.9%
4 90
 
6.7%
5 61
 
4.6%
3 58
 
4.3%
9 44
 
3.3%
0 44
 
3.3%
7 43
 
3.2%
Other values (6) 72
 
5.4%
Latin
ValueCountFrequency (%)
B 15
36.6%
E 8
19.5%
F 4
 
9.8%
C 4
 
9.8%
K 2
 
4.9%
S 2
 
4.9%
G 1
 
2.4%
W 1
 
2.4%
Ⅱ 1
 
2.4%
H 1
 
2.4%
Other values (2) 2
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2118
60.6%
ASCII 1378
39.4%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
615
44.6%
1 115
 
8.3%
2 104
 
7.5%
- 92
 
6.7%
4 90
 
6.5%
5 61
 
4.4%
3 58
 
4.2%
9 44
 
3.2%
0 44
 
3.2%
7 43
 
3.1%
Other values (17) 112
 
8.1%
Hangul
ValueCountFrequency (%)
부 151
 
7.1%
시 148
 
7.0%
산 146
 
6.9%
광 127
 
6.0%
역 122
 
5.8%
동 120
 
5.7%
구 110
 
5.2%
지 78
 
3.7%
번 69
 
3.3%
장 53
 
2.5%
Other values (154) 994
46.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

rdnpostno
Real number (ℝ)

Distinct56
Distinct (%)45.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47785.795
Minimum46015
Maximum49525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T03:45:37.381648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46015
5-th percentile46029
Q146936.25
median48058
Q348515
95-th percentile49419
Maximum49525
Range3510
Interquartile range (IQR)1578.75

Descriptive statistics

Standard deviation1096.2151
Coefficient of variation (CV)0.022940188
Kurtosis-1.0578209
Mean47785.795
Median Absolute Deviation (MAD)886
Skewness-0.11049744
Sum5829867
Variance1201687.6
MonotonicityNot monotonic
2024-04-18T03:45:37.514412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48060 16
 
13.1%
47296 8
 
6.6%
46029 5
 
4.1%
48944 5
 
4.1%
46066 4
 
3.3%
47500 4
 
3.3%
49520 4
 
3.3%
46726 4
 
3.3%
49419 3
 
2.5%
49300 3
 
2.5%
Other values (46) 66
54.1%
ValueCountFrequency (%)
46015 3
2.5%
46024 1
 
0.8%
46029 5
4.1%
46066 4
3.3%
46084 2
 
1.6%
46214 1
 
0.8%
46218 1
 
0.8%
46241 2
 
1.6%
46525 1
 
0.8%
46526 1
 
0.8%
ValueCountFrequency (%)
49525 1
 
0.8%
49521 1
 
0.8%
49520 4
3.3%
49419 3
2.5%
49358 1
 
0.8%
49329 1
 
0.8%
49324 1
 
0.8%
49300 3
2.5%
49269 1
 
0.8%
49253 3
2.5%

rdnwhladdr
Text

Distinct74
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-18T03:45:37.760308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41.5
Mean length35.483607
Min length21

Characters and Unicode

Total characters4329
Distinct characters212
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

Unique51 ?
Unique (%)41.8%

Sample

1st row부산광역시 해운대구 해운대로 813, 지팝건축물 11층 (좌동)
2nd row부산광역시 해운대구 해운대로 813, 지팝건축물 11층 (좌동)
3rd row부산광역시 해운대구 해운대로 813, 지팝건축물 11층 (좌동)
4th row부산광역시 강서구 명지국제8로 266, 5층 501,502,503호 (명지동)
5th row부산광역시 강서구 명지국제8로 266, 5층 501,502,503호 (명지동)
ValueCountFrequency (%)
부산광역시 122
 
14.3%
해운대구 27
 
3.2%
우동 20
 
2.3%
30 20
 
2.3%
중앙대로 16
 
1.9%
벡스코제2전시장 16
 
1.9%
apec로 16
 
1.9%
3층 15
 
1.8%
기장군 15
 
1.8%
사하구 15
 
1.8%
Other values (256) 571
66.9%
2024-04-18T03:45:38.125228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
731
 
16.9%
부 153
 
3.5%
시 149
 
3.4%
산 148
 
3.4%
동 136
 
3.1%
, 131
 
3.0%
광 130
 
3.0%
역 122
 
2.8%
로 122
 
2.8%
( 110
 
2.5%
Other values (202) 2397
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2503
57.8%
Space Separator 731
 
16.9%
Decimal Number 603
 
13.9%
Other Punctuation 131
 
3.0%
Uppercase Letter 119
 
2.7%
Open Punctuation 110
 
2.5%
Close Punctuation 110
 
2.5%
Math Symbol 19
 
0.4%
Dash Punctuation 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 153
 
6.1%
시 149
 
6.0%
산 148
 
5.9%
동 136
 
5.4%
광 130
 
5.2%
역 122
 
4.9%
로 122
 
4.9%
구 110
 
4.4%
대 93
 
3.7%
층 72
 
2.9%
Other values (170) 1268
50.7%
Uppercase Letter
ValueCountFrequency (%)
E 27
22.7%
B 21
17.6%
C 21
17.6%
A 17
14.3%
P 16
13.4%
F 5
 
4.2%
S 3
 
2.5%
K 2
 
1.7%
I 1
 
0.8%
D 1
 
0.8%
Other values (5) 5
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 101
16.7%
3 96
15.9%
2 86
14.3%
0 71
11.8%
6 62
10.3%
5 61
10.1%
4 49
8.1%
7 39
 
6.5%
8 29
 
4.8%
9 9
 
1.5%
Space Separator
ValueCountFrequency (%)
731
100.0%
Other Punctuation
ValueCountFrequency (%)
, 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2503
57.8%
Common 1706
39.4%
Latin 120
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 153
 
6.1%
시 149
 
6.0%
산 148
 
5.9%
동 136
 
5.4%
광 130
 
5.2%
역 122
 
4.9%
로 122
 
4.9%
구 110
 
4.4%
대 93
 
3.7%
층 72
 
2.9%
Other values (170) 1268
50.7%
Common
ValueCountFrequency (%)
731
42.8%
, 131
 
7.7%
( 110
 
6.4%
) 110
 
6.4%
1 101
 
5.9%
3 96
 
5.6%
2 86
 
5.0%
0 71
 
4.2%
6 62
 
3.6%
5 61
 
3.6%
Other values (6) 147
 
8.6%
Latin
ValueCountFrequency (%)
E 27
22.5%
B 21
17.5%
C 21
17.5%
A 17
14.2%
P 16
13.3%
F 5
 
4.2%
S 3
 
2.5%
K 2
 
1.7%
I 1
 
0.8%
D 1
 
0.8%
Other values (6) 6
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2503
57.8%
ASCII 1825
42.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
731
40.1%
, 131
 
7.2%
( 110
 
6.0%
) 110
 
6.0%
1 101
 
5.5%
3 96
 
5.3%
2 86
 
4.7%
0 71
 
3.9%
6 62
 
3.4%
5 61
 
3.3%
Other values (21) 266
 
14.6%
Hangul
ValueCountFrequency (%)
부 153
 
6.1%
시 149
 
6.0%
산 148
 
5.9%
동 136
 
5.4%
광 130
 
5.2%
역 122
 
4.9%
로 122
 
4.9%
구 110
 
4.4%
대 93
 
3.7%
층 72
 
2.9%
Other values (170) 1268
50.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

apvpermymd
Real number (ℝ)

Distinct71
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20190934
Minimum20181019
Maximum20210310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T03:45:38.253456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20181019
5-th percentile20181115
Q120190208
median20190610
Q320191206
95-th percentile20201027
Maximum20210310
Range29291
Interquartile range (IQR)998

Descriptive statistics

Standard deviation6437.7125
Coefficient of variation (CV)0.00031884173
Kurtosis1.3944976
Mean20190934
Median Absolute Deviation (MAD)486.5
Skewness0.73751873
Sum2.463294 × 109
Variance41444142
MonotonicityNot monotonic
2024-04-18T03:45:38.362054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190705 6
 
4.9%
20190208 6
 
4.9%
20181019 3
 
2.5%
20190125 3
 
2.5%
20191227 3
 
2.5%
20191213 3
 
2.5%
20191206 3
 
2.5%
20190726 3
 
2.5%
20190712 3
 
2.5%
20181102 3
 
2.5%
Other values (61) 86
70.5%
ValueCountFrequency (%)
20181019 3
2.5%
20181102 3
2.5%
20181114 1
 
0.8%
20181126 1
 
0.8%
20181128 1
 
0.8%
20181130 3
2.5%
20181204 1
 
0.8%
20181211 1
 
0.8%
20181217 1
 
0.8%
20181220 1
 
0.8%
ValueCountFrequency (%)
20210310 1
0.8%
20210203 1
0.8%
20210125 1
0.8%
20210111 1
0.8%
20201106 2
1.6%
20201028 1
0.8%
20201016 2
1.6%
20201006 1
0.8%
20200814 1
0.8%
20200701 1
0.8%

dcbymd
Categorical

Distinct20
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
70 
폐업일자
20 
20190304
 
4
20200301
 
3
20200910
 
3
Other values (15)
22 

Length

Max length8
Median length4
Mean length5.0491803
Min length4

Unique

Unique11 ?
Unique (%)9.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row20200827
5th row20200827

Common Values

ValueCountFrequency (%)
<NA> 70
57.4%
폐업일자 20
 
16.4%
20190304 4
 
3.3%
20200301 3
 
2.5%
20200910 3
 
2.5%
20200605 3
 
2.5%
20200828 3
 
2.5%
20200827 3
 
2.5%
20201005 2
 
1.6%
20210309 1
 
0.8%
Other values (10) 10
 
8.2%

Length

2024-04-18T03:45:38.468097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 70
57.4%
폐업일자 20
 
16.4%
20190304 4
 
3.3%
20200301 3
 
2.5%
20200910 3
 
2.5%
20200605 3
 
2.5%
20200828 3
 
2.5%
20200827 3
 
2.5%
20201005 2
 
1.6%
20190825 1
 
0.8%
Other values (10) 10
 
8.2%

clgstdt
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
97 
휴업시작일자
24 
20200515
 
1

Length

Max length8
Median length4
Mean length4.4262295
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row휴업시작일자
5th row휴업시작일자

Common Values

ValueCountFrequency (%)
<NA> 97
79.5%
휴업시작일자 24
 
19.7%
20200515 1
 
0.8%

Length

2024-04-18T03:45:38.599864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:38.700324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
79.5%
휴업시작일자 24
 
19.7%
20200515 1
 
0.8%

clgenddt
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
97 
휴업종료일자
24 
20220515
 
1

Length

Max length8
Median length4
Mean length4.4262295
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row휴업종료일자
5th row휴업종료일자

Common Values

ValueCountFrequency (%)
<NA> 97
79.5%
휴업종료일자 24
 
19.7%
20220515 1
 
0.8%

Length

2024-04-18T03:45:38.786973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:38.868749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
79.5%
휴업종료일자 24
 
19.7%
20220515 1
 
0.8%

ropnymd
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
재개업일자
24 

Length

Max length5
Median length4
Mean length4.1967213
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row재개업일자
5th row재개업일자

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
재개업일자 24
 
19.7%

Length

2024-04-18T03:45:38.948359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:39.023824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
재개업일자 24
 
19.7%

trdstatenm
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
83 
폐업
35 
<NA>
 
3
휴업
 
1

Length

Max length5
Median length5
Mean length4.0901639
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 83
68.0%
폐업 35
28.7%
<NA> 3
 
2.5%
휴업 1
 
0.8%

Length

2024-04-18T03:45:39.102907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:39.180550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 83
68.0%
폐업 35
28.7%
na 3
 
2.5%
휴업 1
 
0.8%

dtlstatenm
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
86 
폐업
35 
휴업
 
1

Length

Max length3
Median length3
Mean length2.704918
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row영업중
2nd row영업중
3rd row영업중
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업중 86
70.5%
폐업 35
28.7%
휴업 1
 
0.8%

Length

2024-04-18T03:45:39.264728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:39.344285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 86
70.5%
폐업 35
28.7%
휴업 1
 
0.8%

x
Real number (ℝ)

Distinct64
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean389125.02
Minimum374851.7
Maximum403214.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T03:45:39.426684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum374851.7
5-th percentile377549.69
Q1383532
median387671.01
Q3394457.41
95-th percentile401671.56
Maximum403214.46
Range28362.767
Interquartile range (IQR)10925.407

Descriptive statistics

Standard deviation7292.9943
Coefficient of variation (CV)0.018742034
Kurtosis-0.75827016
Mean389125.02
Median Absolute Deviation (MAD)6347.9212
Skewness0.10034897
Sum47473252
Variance53187766
MonotonicityNot monotonic
2024-04-18T03:45:39.526265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
394457.407487917 16
 
13.1%
387608.014165034 8
 
6.6%
385590.814676765 5
 
4.1%
403080.084876472 4
 
3.3%
398269.05154158 3
 
2.5%
392495.046847798 3
 
2.5%
390501.520242015 3
 
2.5%
382731.210151804 3
 
2.5%
387577.349326239 3
 
2.5%
375164.613533712 3
 
2.5%
Other values (54) 71
58.2%
ValueCountFrequency (%)
374851.695086299 1
 
0.8%
375164.613533712 3
2.5%
377477.951005412 3
2.5%
378912.739505959 3
2.5%
379052.480675244 1
 
0.8%
379765.992331912 1
 
0.8%
380112.660261235 1
 
0.8%
380191.099082637 1
 
0.8%
380218.998121817 3
2.5%
380441.986419275 1
 
0.8%
ValueCountFrequency (%)
403214.461974909 1
 
0.8%
403080.084876472 4
3.3%
401678.104349687 1
 
0.8%
401671.559370443 3
2.5%
401473.933606044 2
1.6%
399573.805687674 1
 
0.8%
398269.05154158 3
2.5%
398151.025865934 1
 
0.8%
398024.244821605 1
 
0.8%
397873.681666721 1
 
0.8%

y
Real number (ℝ)

Distinct64
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187168.27
Minimum174289.98
Maximum205142.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T03:45:39.622448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174289.98
5-th percentile177196.34
Q1180773.91
median187231.53
Q3190359.69
95-th percentile204631.04
Maximum205142.17
Range30852.19
Interquartile range (IQR)9585.7794

Descriptive statistics

Standard deviation7383.4524
Coefficient of variation (CV)0.039448205
Kurtosis0.32404375
Mean187168.27
Median Absolute Deviation (MAD)3933.4276
Skewness0.70746983
Sum22834529
Variance54515369
MonotonicityNot monotonic
2024-04-18T03:45:39.721076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187231.530457387 16
 
13.1%
185703.079007724 8
 
6.6%
179553.867031936 5
 
4.1%
204637.507349714 4
 
3.3%
187874.778091232 3
 
2.5%
183633.944535074 3
 
2.5%
183795.197897729 3
 
2.5%
192059.745558294 3
 
2.5%
190464.298864653 3
 
2.5%
179293.423820344 3
 
2.5%
Other values (54) 71
58.2%
ValueCountFrequency (%)
174289.976688419 1
 
0.8%
175280.746095452 1
 
0.8%
175359.769070119 1
 
0.8%
175382.738615908 3
2.5%
177168.188216143 1
 
0.8%
177731.162206475 1
 
0.8%
178805.753601582 1
 
0.8%
179033.689442325 3
2.5%
179237.116666445 3
2.5%
179293.423820344 3
2.5%
ValueCountFrequency (%)
205142.166945659 1
 
0.8%
204878.045544401 1
 
0.8%
204637.507349714 4
3.3%
204631.530938287 1
 
0.8%
204621.655738547 1
 
0.8%
204319.028570282 1
 
0.8%
199326.504214728 1
 
0.8%
198905.267900222 1
 
0.8%
196027.516280196 3
2.5%
195948.163468922 1
 
0.8%

lastmodts
Real number (ℝ)

Distinct79
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0198266 × 1013
Minimum2.0181019 × 1013
Maximum2.0210324 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T03:45:39.858369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0181019 × 1013
5-th percentile2.0190221 × 1013
Q12.0190726 × 1013
median2.0200359 × 1013
Q32.0201214 × 1013
95-th percentile2.0210318 × 1013
Maximum2.0210324 × 1013
Range2.9304928 × 1010
Interquartile range (IQR)1.0487978 × 1010

Descriptive statistics

Standard deviation7.7974707 × 109
Coefficient of variation (CV)0.00038604655
Kurtosis-0.66083376
Mean2.0198266 × 1013
Median Absolute Deviation (MAD)9.3425064 × 109
Skewness-0.086506119
Sum2.4641884 × 1015
Variance6.080055 × 1019
MonotonicityNot monotonic
2024-04-18T03:45:39.986266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181019164838 3
 
2.5%
20210324092942 3
 
2.5%
20200205113751 3
 
2.5%
20190315163835 3
 
2.5%
20190731140111 3
 
2.5%
20190419171251 3
 
2.5%
20200303134324 3
 
2.5%
20200205155936 3
 
2.5%
20201218164433 3
 
2.5%
20200608174135 3
 
2.5%
Other values (69) 92
75.4%
ValueCountFrequency (%)
20181019164838 3
2.5%
20181217152123 1
 
0.8%
20181227101721 1
 
0.8%
20190220105931 1
 
0.8%
20190221134931 1
 
0.8%
20190221181153 1
 
0.8%
20190314094009 1
 
0.8%
20190314094036 3
2.5%
20190314182714 1
 
0.8%
20190315163835 3
2.5%
ValueCountFrequency (%)
20210324092942 3
2.5%
20210318173025 2
1.6%
20210318115232 1
 
0.8%
20210318114201 3
2.5%
20210311113912 1
 
0.8%
20210310101114 1
 
0.8%
20210309173127 1
 
0.8%
20210226180426 1
 
0.8%
20210203104521 1
 
0.8%
20210125135339 1
 
0.8%

uptaenm
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
업태구분명
24 

Length

Max length5
Median length4
Mean length4.1967213
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row업태구분명
5th row업태구분명

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
업태구분명 24
 
19.7%

Length

2024-04-18T03:45:40.087527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:40.167068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
업태구분명 24
 
19.7%

sitetel
Categorical

Distinct23
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
051-123-1234
75 
<NA>
14 
전화번호
 
3
051-506-6767
 
3
051-292-1092
 
3
Other values (18)
24 

Length

Max length13
Median length12
Mean length10.893443
Min length4

Unique

Unique14 ?
Unique (%)11.5%

Sample

1st row051-123-1234
2nd row051-123-1234
3rd row051-123-1234
4th row051-715-7171
5th row051-715-7171

Common Values

ValueCountFrequency (%)
051-123-1234 75
61.5%
<NA> 14
 
11.5%
전화번호 3
 
2.5%
051-506-6767 3
 
2.5%
051-292-1092 3
 
2.5%
051-715-7171 3
 
2.5%
07040251516 3
 
2.5%
070-4801-6034 2
 
1.6%
051-509-7391 2
 
1.6%
051-896-1666 1
 
0.8%
Other values (13) 13
 
10.7%

Length

2024-04-18T03:45:40.250932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
051-123-1234 75
61.5%
na 14
 
11.5%
전화번호 3
 
2.5%
051-506-6767 3
 
2.5%
051-292-1092 3
 
2.5%
051-715-7171 3
 
2.5%
07040251516 3
 
2.5%
070-4801-6034 2
 
1.6%
051-509-7391 2
 
1.6%
051-505-0506 1
 
0.8%
Other values (13) 13
 
10.7%

openymd
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
개관일자
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row개관일자
5th row개관일자

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
개관일자 24
 
19.7%

Length

2024-04-18T03:45:40.333952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:40.404267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
개관일자 24
 
19.7%

stroomcnt
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
객실수
24 

Length

Max length4
Median length4
Mean length3.8032787
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row객실수
5th row객실수

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
객실수 24
 
19.7%

Length

2024-04-18T03:45:40.481379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:40.552422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
객실수 24
 
19.7%

bdngsrvnm
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
91 
건물용도명
21 
근린생활시설
 
7
문화시설
 
2
기타
 
1

Length

Max length6
Median length4
Mean length4.2704918
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row건물용도명
5th row건물용도명

Common Values

ValueCountFrequency (%)
<NA> 91
74.6%
건물용도명 21
 
17.2%
근린생활시설 7
 
5.7%
문화시설 2
 
1.6%
기타 1
 
0.8%

Length

2024-04-18T03:45:40.635908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:40.719498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
74.6%
건물용도명 21
 
17.2%
근린생활시설 7
 
5.7%
문화시설 2
 
1.6%
기타 1
 
0.8%

cnstyarea
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
건축연면적
24 

Length

Max length5
Median length4
Mean length4.1967213
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row건축연면적
5th row건축연면적

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
건축연면적 24
 
19.7%

Length

2024-04-18T03:45:40.805509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:40.878911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
건축연면적 24
 
19.7%

svnsr
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
기념품종류
24 

Length

Max length5
Median length4
Mean length4.1967213
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row기념품종류
5th row기념품종류

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
기념품종류 24
 
19.7%

Length

2024-04-18T03:45:40.953780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:41.037024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
기념품종류 24
 
19.7%

plninsurstdt
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
기획여행보험시작일자
24 

Length

Max length10
Median length4
Mean length5.1803279
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row기획여행보험시작일자
5th row기획여행보험시작일자

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
기획여행보험시작일자 24
 
19.7%

Length

2024-04-18T03:45:41.141289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:41.222229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
기획여행보험시작일자 24
 
19.7%

plninsurenddt
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
기획여행보험종료일자
24 

Length

Max length10
Median length4
Mean length5.1803279
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row기획여행보험종료일자
5th row기획여행보험종료일자

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
기획여행보험종료일자 24
 
19.7%

Length

2024-04-18T03:45:41.302095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:41.376380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
기획여행보험종료일자 24
 
19.7%

playutscntdtl
Categorical

IMBALANCE 

Distinct16
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
78 
놀이기구수내역
21 
안전성검사 : 12종 12대, 확인검사 : 21종 27대
 
3
26종 29대
 
3
1(놀이형:에어바운스)
 
3
Other values (11)
14 

Length

Max length42
Median length4
Mean length7.9836066
Min length4

Unique

Unique9 ?
Unique (%)7.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row놀이기구수내역
5th row놀이기구수내역

Common Values

ValueCountFrequency (%)
<NA> 78
63.9%
놀이기구수내역 21
 
17.2%
안전성검사 : 12종 12대, 확인검사 : 21종 27대 3
 
2.5%
26종 29대 3
 
2.5%
1(놀이형:에어바운스) 3
 
2.5%
안전성검사대상: 10종 10대, 안전성검사 비대상: 18종 21대 3
 
2.5%
미니농구2, 망치치기, 코인카 각 1개 2
 
1.6%
안전성검사:6종6대/ 확인검사:3종16대 1
 
0.8%
문화관광체육과-15100 (2020.12.15.) 1
 
0.8%
장아연 바이저 pororoparkw@naver.com 051-612-8557 1
 
0.8%
Other values (6) 6
 
4.9%

Length

2024-04-18T03:45:41.462208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 78
40.8%
놀이기구수내역 21
 
11.0%
안전성검사 6
 
3.1%
6
 
3.1%
안전성검사대상 5
 
2.6%
유기기구 3
 
1.6%
각 3
 
1.6%
21대 3
 
1.6%
18종 3
 
1.6%
비대상 3
 
1.6%
Other values (34) 60
31.4%

playfacilcnt
Categorical

Distinct7
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
79 
놀이시설수
21 
1
14 
6
 
3
0
 
3
Other values (2)
 
2

Length

Max length5
Median length4
Mean length3.6311475
Min length1

Unique

Unique2 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 79
64.8%
놀이시설수 21
 
17.2%
1 14
 
11.5%
6 3
 
2.5%
0 3
 
2.5%
3 1
 
0.8%
2 1
 
0.8%

Length

2024-04-18T03:45:41.559153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:41.660816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
64.8%
놀이시설수 21
 
17.2%
1 14
 
11.5%
6 3
 
2.5%
0 3
 
2.5%
3 1
 
0.8%
2 1
 
0.8%

stagear
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
무대면적
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row무대면적
5th row무대면적

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
무대면적 24
 
19.7%

Length

2024-04-18T03:45:41.751149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:41.824045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
무대면적 24
 
19.7%

culwrkrsenm
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
문화사업자구분명
24 

Length

Max length8
Median length4
Mean length4.7868852
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row문화사업자구분명
5th row문화사업자구분명

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
문화사업자구분명 24
 
19.7%

Length

2024-04-18T03:45:41.908788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:41.987264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
문화사업자구분명 24
 
19.7%

culphyedcobnm
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
신고유원시설업
98 
허가유원시설업
21 
일반관광유람선업
 
2
관광궤도업
 
1

Length

Max length8
Median length7
Mean length7
Min length5

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
신고유원시설업 98
80.3%
허가유원시설업 21
 
17.2%
일반관광유람선업 2
 
1.6%
관광궤도업 1
 
0.8%

Length

2024-04-18T03:45:42.069890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:42.175375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고유원시설업 98
80.3%
허가유원시설업 21
 
17.2%
일반관광유람선업 2
 
1.6%
관광궤도업 1
 
0.8%

museumkindnm
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
박물관미술관유형명
24 

Length

Max length9
Median length4
Mean length4.9836066
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row박물관미술관유형명
5th row박물관미술관유형명

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
박물관미술관유형명 24
 
19.7%

Length

2024-04-18T03:45:42.284034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:42.356077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
박물관미술관유형명 24
 
19.7%

museumsortnm
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
박물관미술관종류명
24 

Length

Max length9
Median length4
Mean length4.9836066
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row박물관미술관종류명
5th row박물관미술관종류명

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
박물관미술관종류명 24
 
19.7%

Length

2024-04-18T03:45:42.431781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:42.504368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
박물관미술관종류명 24
 
19.7%

geicpfacilen
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
94 
발
24 
Y
 
4

Length

Max length4
Median length4
Mean length3.3114754
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row발
5th row발

Common Values

ValueCountFrequency (%)
<NA> 94
77.0%
발 24
 
19.7%
Y 4
 
3.3%

Length

2024-04-18T03:45:42.586651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:42.663012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 94
77.0%
발 24
 
19.7%
y 4
 
3.3%

bcfacilen
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
91 
방
24 
Y
 
7

Length

Max length4
Median length4
Mean length3.2377049
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row방
5th row방

Common Values

ValueCountFrequency (%)
<NA> 91
74.6%
방 24
 
19.7%
Y 7
 
5.7%

Length

2024-04-18T03:45:42.741382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:42.819310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
74.6%
방 24
 
19.7%
y 7
 
5.7%

bupnm
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
법인명
24 

Length

Max length4
Median length4
Mean length3.8032787
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row법인명
5th row법인명

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
법인명 24
 
19.7%

Length

2024-04-18T03:45:43.146878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:43.218519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
법인명 24
 
19.7%

bupesbmntobj
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
법인설립목적
24 

Length

Max length6
Median length4
Mean length4.3934426
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row법인설립목적
5th row법인설립목적

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
법인설립목적 24
 
19.7%

Length

2024-04-18T03:45:43.301517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:43.381201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
법인설립목적 24
 
19.7%

bupdisorgymd
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
법인해산일자
24 

Length

Max length6
Median length4
Mean length4.3934426
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row법인해산일자
5th row법인해산일자

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
법인해산일자 24
 
19.7%

Length

2024-04-18T03:45:43.465405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:43.546881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
법인해산일자 24
 
19.7%

insurorgnm
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
보험기관명
24 

Length

Max length5
Median length4
Mean length4.1967213
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row보험기관명
5th row보험기관명

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
보험기관명 24
 
19.7%

Length

2024-04-18T03:45:43.624984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:43.698416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
보험기관명 24
 
19.7%

insurstdt
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
보험시작일자
24 

Length

Max length6
Median length4
Mean length4.3934426
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row보험시작일자
5th row보험시작일자

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
보험시작일자 24
 
19.7%

Length

2024-04-18T03:45:43.783554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:43.867281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
보험시작일자 24
 
19.7%

insurenddt
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
보험종료일자
24 

Length

Max length6
Median length4
Mean length4.3934426
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row보험종료일자
5th row보험종료일자

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
보험종료일자 24
 
19.7%

Length

2024-04-18T03:45:43.956259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:44.037467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
보험종료일자 24
 
19.7%

afc
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
부대시설내역
24 

Length

Max length6
Median length4
Mean length4.3934426
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row부대시설내역
5th row부대시설내역

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
부대시설내역 24
 
19.7%

Length

2024-04-18T03:45:44.119715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:44.200447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
부대시설내역 24
 
19.7%

shpinfo
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
선박제원
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row선박제원
5th row선박제원

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
선박제원 24
 
19.7%

Length

2024-04-18T03:45:44.277308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:44.364379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
선박제원 24
 
19.7%

shpcnt
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
선박척수
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row선박척수
5th row선박척수

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
선박척수 24
 
19.7%

Length

2024-04-18T03:45:44.439718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:44.509842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
선박척수 24
 
19.7%

shptottons
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
선박총톤수
24 

Length

Max length5
Median length4
Mean length4.1967213
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row선박총톤수
5th row선박총톤수

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
선박총톤수 24
 
19.7%

Length

2024-04-18T03:45:44.587114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:44.661121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
선박총톤수 24
 
19.7%

mngmbdnm
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
설립_운영주체구분명
24 

Length

Max length10
Median length4
Mean length5.1803279
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row설립_운영주체구분명
5th row설립_운영주체구분명

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
설립_운영주체구분명 24
 
19.7%

Length

2024-04-18T03:45:44.742416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:44.821623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
설립_운영주체구분명 24
 
19.7%

ndloan
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
소요자금
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row소요자금
5th row소요자금

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
소요자금 24
 
19.7%

Length

2024-04-18T03:45:44.902004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:44.975095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
소요자금 24
 
19.7%

monknum
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
승려수
24 

Length

Max length4
Median length4
Mean length3.8032787
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row승려수
5th row승려수

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
승려수 24
 
19.7%

Length

2024-04-18T03:45:45.052169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:45.126608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
승려수 24
 
19.7%

facilscp
Categorical

Distinct18
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
76 
시설규모
18 
234
 
3
288
 
3
76
 
3
Other values (13)
19 

Length

Max length4
Median length4
Mean length3.8032787
Min length2

Unique

Unique9 ?
Unique (%)7.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row495
5th row495

Common Values

ValueCountFrequency (%)
<NA> 76
62.3%
시설규모 18
 
14.8%
234 3
 
2.5%
288 3
 
2.5%
76 3
 
2.5%
1772 3
 
2.5%
495 3
 
2.5%
154 2
 
1.6%
1332 2
 
1.6%
1445 1
 
0.8%
Other values (8) 8
 
6.6%

Length

2024-04-18T03:45:45.210056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 76
62.3%
시설규모 18
 
14.8%
234 3
 
2.5%
288 3
 
2.5%
76 3
 
2.5%
1772 3
 
2.5%
495 3
 
2.5%
154 2
 
1.6%
1332 2
 
1.6%
735 1
 
0.8%
Other values (8) 8
 
6.6%

facilar
Categorical

Distinct18
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
76 
시설면적
18 
233.59
 
3
288.2
 
3
76
 
3
Other values (13)
19 

Length

Max length6
Median length4
Mean length4.1967213
Min length2

Unique

Unique9 ?
Unique (%)7.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row495
5th row495

Common Values

ValueCountFrequency (%)
<NA> 76
62.3%
시설면적 18
 
14.8%
233.59 3
 
2.5%
288.2 3
 
2.5%
76 3
 
2.5%
1772.2 3
 
2.5%
495 3
 
2.5%
154.4 2
 
1.6%
1332 2
 
1.6%
1445.4 1
 
0.8%
Other values (8) 8
 
6.6%

Length

2024-04-18T03:45:45.311294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 76
62.3%
시설면적 18
 
14.8%
233.59 3
 
2.5%
288.2 3
 
2.5%
76 3
 
2.5%
1772.2 3
 
2.5%
495 3
 
2.5%
154.4 2
 
1.6%
1332 2
 
1.6%
735.3 1
 
0.8%
Other values (8) 8
 
6.6%

belvnum
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
신도수
24 

Length

Max length4
Median length4
Mean length3.8032787
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row신도수
5th row신도수

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
신도수 24
 
19.7%

Length

2024-04-18T03:45:45.407264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:45.479941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
신도수 24
 
19.7%

infoben
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
90 
안
24 
Y
 
8

Length

Max length4
Median length4
Mean length3.2131148
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row안
5th row안

Common Values

ValueCountFrequency (%)
<NA> 90
73.8%
안 24
 
19.7%
Y 8
 
6.6%

Length

2024-04-18T03:45:45.559165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:45.635888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 90
73.8%
안 24
 
19.7%
y 8
 
6.6%

engstntrnmnm
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
영문상호명
24 

Length

Max length5
Median length4
Mean length4.1967213
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row영문상호명
5th row영문상호명

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
영문상호명 24
 
19.7%

Length

2024-04-18T03:45:45.719827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:45.793028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
영문상호명 24
 
19.7%

engstntrnmaddr
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
영문상호주소
24 

Length

Max length6
Median length4
Mean length4.3934426
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row영문상호주소
5th row영문상호주소

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
영문상호주소 24
 
19.7%

Length

2024-04-18T03:45:45.878457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:45.961603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
영문상호주소 24
 
19.7%

originhist
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
유래연혁
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row유래연혁
5th row유래연혁

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
유래연혁 24
 
19.7%

Length

2024-04-18T03:45:46.038212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:46.109576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
유래연혁 24
 
19.7%

dispenen
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
91 
의
24 
Y
 
7

Length

Max length4
Median length4
Mean length3.2377049
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row의
5th row의

Common Values

ValueCountFrequency (%)
<NA> 91
74.6%
의 24
 
19.7%
Y 7
 
5.7%

Length

2024-04-18T03:45:46.188445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:46.263058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
74.6%
의 24
 
19.7%
y 7
 
5.7%

capt
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
97 
자본금
23 
1308847144
 
1
1000000000
 
1

Length

Max length10
Median length4
Mean length3.9098361
Min length3

Unique

Unique2 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row자본금
5th row자본금

Common Values

ValueCountFrequency (%)
<NA> 97
79.5%
자본금 23
 
18.9%
1308847144 1
 
0.8%
1000000000 1
 
0.8%

Length

2024-04-18T03:45:46.350435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:46.433944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
79.5%
자본금 23
 
18.9%
1308847144 1
 
0.8%
1000000000 1
 
0.8%

tdtpnm
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
전통사찰명
24 

Length

Max length5
Median length4
Mean length4.1967213
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row전통사찰명
5th row전통사찰명

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
전통사찰명 24
 
19.7%

Length

2024-04-18T03:45:46.518839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:46.590827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
전통사찰명 24
 
19.7%

mnfactreartclcn
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
제작취급품목내용
24 

Length

Max length8
Median length4
Mean length4.7868852
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row제작취급품목내용
5th row제작취급품목내용

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
제작취급품목내용 24
 
19.7%

Length

2024-04-18T03:45:46.675860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:46.754540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
제작취급품목내용 24
 
19.7%

chaircnt
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
좌석수
24 

Length

Max length4
Median length4
Mean length3.8032787
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row좌석수
5th row좌석수

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
좌석수 24
 
19.7%

Length

2024-04-18T03:45:46.831820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:46.905851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
좌석수 24
 
19.7%

nearenvnm
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
95 
주변환경명
22 
학교정화(상대)
 
5

Length

Max length8
Median length4
Mean length4.3442623
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row주변환경명
5th row주변환경명

Common Values

ValueCountFrequency (%)
<NA> 95
77.9%
주변환경명 22
 
18.0%
학교정화(상대) 5
 
4.1%

Length

2024-04-18T03:45:47.006958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:47.092979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
77.9%
주변환경명 22
 
18.0%
학교정화(상대 5
 
4.1%

jgongymd
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
준공일자
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row준공일자
5th row준공일자

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
준공일자 24
 
19.7%

Length

2024-04-18T03:45:47.191046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:47.272526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
준공일자 24
 
19.7%

jisgnumlay
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
97 
지상층수
23 
2
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.9508197
Min length1

Unique

Unique2 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row지상층수
5th row지상층수

Common Values

ValueCountFrequency (%)
<NA> 97
79.5%
지상층수 23
 
18.9%
2 1
 
0.8%
4 1
 
0.8%

Length

2024-04-18T03:45:47.362880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:47.442906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
79.5%
지상층수 23
 
18.9%
2 1
 
0.8%
4 1
 
0.8%

regnsenm
Categorical

IMBALANCE 

Distinct8
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
89 
지역구분명
20 
일반주거지역
 
7
준주거지역
 
2
상업지역
 
1
Other values (3)
 
3

Length

Max length6
Median length4
Mean length4.3196721
Min length4

Unique

Unique4 ?
Unique (%)3.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row지역구분명
5th row지역구분명

Common Values

ValueCountFrequency (%)
<NA> 89
73.0%
지역구분명 20
 
16.4%
일반주거지역 7
 
5.7%
준주거지역 2
 
1.6%
상업지역 1
 
0.8%
일반상업지역 1
 
0.8%
준공업지역 1
 
0.8%
주거지역 1
 
0.8%

Length

2024-04-18T03:45:47.540372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:47.653908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
73.0%
지역구분명 20
 
16.4%
일반주거지역 7
 
5.7%
준주거지역 2
 
1.6%
상업지역 1
 
0.8%
일반상업지역 1
 
0.8%
준공업지역 1
 
0.8%
주거지역 1
 
0.8%

asgncancel
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
지정취소
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row지정취소
5th row지정취소

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
지정취소 24
 
19.7%

Length

2024-04-18T03:45:47.767504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:47.843735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
지정취소 24
 
19.7%

asgncancelwhy
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
지정취소사유
24 

Length

Max length6
Median length4
Mean length4.3934426
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row지정취소사유
5th row지정취소사유

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
지정취소사유 24
 
19.7%

Length

2024-04-18T03:45:47.927629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:48.017249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
지정취소사유 24
 
19.7%

asgncancelymd
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
지정취소일자
24 

Length

Max length6
Median length4
Mean length4.3934426
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row지정취소일자
5th row지정취소일자

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
지정취소일자 24
 
19.7%

Length

2024-04-18T03:45:48.106251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:48.186822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
지정취소일자 24
 
19.7%

undernumlay
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
97 
지하층수
23 
0
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.9508197
Min length1

Unique

Unique2 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row지하층수
5th row지하층수

Common Values

ValueCountFrequency (%)
<NA> 97
79.5%
지하층수 23
 
18.9%
0 1
 
0.8%
1 1
 
0.8%

Length

2024-04-18T03:45:48.279898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:48.359406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
79.5%
지하층수 23
 
18.9%
0 1
 
0.8%
1 1
 
0.8%

estbhdate
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
창립연대
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row창립연대
5th row창립연대

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
창립연대 24
 
19.7%

Length

2024-04-18T03:45:48.444109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:48.529408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
창립연대 24
 
19.7%

totnumlay
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
97 
총층수
23 
2
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.7622951
Min length1

Unique

Unique2 ?
Unique (%)1.6%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row총층수
5th row총층수

Common Values

ValueCountFrequency (%)
<NA> 97
79.5%
총층수 23
 
18.9%
2 1
 
0.8%
5 1
 
0.8%

Length

2024-04-18T03:45:48.615984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:48.694238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
79.5%
총층수 23
 
18.9%
2 1
 
0.8%
5 1
 
0.8%

closewhy
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
폐관사유
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row폐관사유
5th row폐관사유

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
폐관사유 24
 
19.7%

Length

2024-04-18T03:45:48.774313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:49.073141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
폐관사유 24
 
19.7%

closeymd
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
폐관일자
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row폐관일자
5th row폐관일자

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
폐관일자 24
 
19.7%

Length

2024-04-18T03:45:49.147725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:49.219121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
폐관일자 24
 
19.7%

permcn
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
허가조건
24 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row허가조건
5th row허가조건

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
허가조건 24
 
19.7%

Length

2024-04-18T03:45:49.317383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:49.390443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
허가조건 24
 
19.7%

meetsamtimesygstf
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
98 
회의실별동시수용인원
24 

Length

Max length10
Median length4
Mean length5.1803279
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row회의실별동시수용인원
5th row회의실별동시수용인원

Common Values

ValueCountFrequency (%)
<NA> 98
80.3%
회의실별동시수용인원 24
 
19.7%

Length

2024-04-18T03:45:49.469499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:49.552640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
80.3%
회의실별동시수용인원 24
 
19.7%

last_load_dttm
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2021-04-01 05:27:03
122 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-04-01 05:27:03
2nd row2021-04-01 05:27:03
3rd row2021-04-01 05:27:03
4th row2021-04-01 05:27:03
5th row2021-04-01 05:27:03

Common Values

ValueCountFrequency (%)
2021-04-01 05:27:03 122
100.0%

Length

2024-04-18T03:45:49.648026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:49.718296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-04-01 122
50.0%
05:27:03 122
50.0%

Sample

skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelopenymdstroomcntbdngsrvnmcnstyareasvnsrplninsurstdtplninsurenddtplayutscntdtlplayfacilcntstagearculwrkrsenmculphyedcobnmmuseumkindnmmuseumsortnmgeicpfacilenbcfacilenbupnmbupesbmntobjbupdisorgymdinsurorgnminsurstdtinsurenddtafcshpinfoshpcntshptottonsmngmbdnmndloanmonknumfacilscpfacilarbelvnuminfobenengstntrnmnmengstntrnmaddroriginhistdispenencapttdtpnmmnfactreartclcnchaircntnearenvnmjgongymdjisgnumlayregnsenmasgncancelasgncancelwhyasgncancelymdundernumlayestbhdatetotnumlayclosewhycloseymdpermcnmeetsamtimesygstflast_load_dttm
0453330000CDFI527200201800000303_07_08_PI2018-10-21 02:36:15.0유원시설업(기타)주바운스클럽 트램폴린파크 해운대점<NA>부산광역시 해운대구 좌동 1467-4번지 지팝건축물48106부산광역시 해운대구 해운대로 813, 지팝건축물 11층 (좌동)20181019<NA><NA><NA><NA><NA>영업중398269.051542187874.77809120181019164838<NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-04-01 05:27:03
1513330000CDFI527200201800000303_07_08_PI2018-10-21 02:36:15.0유원시설업(기타)주바운스클럽 트램폴린파크 해운대점<NA>부산광역시 해운대구 좌동 1467-4번지 지팝건축물48106부산광역시 해운대구 해운대로 813, 지팝건축물 11층 (좌동)20181019<NA><NA><NA><NA><NA>영업중398269.051542187874.77809120181019164838<NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-04-01 05:27:03
2573330000CDFI527200201800000303_07_08_PI2018-10-21 02:36:15.0유원시설업(기타)주바운스클럽 트램폴린파크 해운대점<NA>부산광역시 해운대구 좌동 1467-4번지 지팝건축물48106부산광역시 해운대구 해운대로 813, 지팝건축물 11층 (좌동)20181019<NA><NA><NA><NA><NA>영업중398269.051542187874.77809120181019164838<NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-04-01 05:27:03
3873360000CDFI527200201800000803_07_08_PU2021-03-26 02:40:00.0유원시설업(기타)제이제이파티지번우편번호부산광역시 강서구 명지동 3420-646726부산광역시 강서구 명지국제8로 266, 5층 501,502,503호 (명지동)2018110220200827휴업시작일자휴업종료일자재개업일자폐업폐업375164.613534179293.4238220210324092942업태구분명051-715-7171개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역1무대면적문화사업자구분명신고유원시설업박물관미술관유형명박물관미술관종류명발방법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수495495신도수안영문상호명영문상호주소유래연혁의자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-04-01 05:27:03
4883360000CDFI527200201800000803_07_08_PU2021-03-26 02:40:00.0유원시설업(기타)제이제이파티지번우편번호부산광역시 강서구 명지동 3420-646726부산광역시 강서구 명지국제8로 266, 5층 501,502,503호 (명지동)2018110220200827휴업시작일자휴업종료일자재개업일자폐업폐업375164.613534179293.4238220210324092942업태구분명051-715-7171개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역1무대면적문화사업자구분명신고유원시설업박물관미술관유형명박물관미술관종류명발방법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수495495신도수안영문상호명영문상호주소유래연혁의자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-04-01 05:27:03
5893360000CDFI527200201800000803_07_08_PU2021-03-26 02:40:00.0유원시설업(기타)제이제이파티지번우편번호부산광역시 강서구 명지동 3420-646726부산광역시 강서구 명지국제8로 266, 5층 501,502,503호 (명지동)2018110220200827휴업시작일자휴업종료일자재개업일자폐업폐업375164.613534179293.4238220210324092942업태구분명051-715-7171개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역1무대면적문화사업자구분명신고유원시설업박물관미술관유형명박물관미술관종류명발방법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수495495신도수안영문상호명영문상호주소유래연혁의자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-04-01 05:27:03
6963330000CDFI527200201800000403_07_08_PU2020-10-08 02:40:00.0유원시설업(기타)꼬마대통령(재송점)<NA>부산광역시 해운대구 재송동 1150-748052부산광역시 해운대구 재반로 176, 403호 (재송동)2018111420201005<NA><NA><NA>폐업폐업393906.600866190282.30017220201006113444<NA>051-781-1871<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-04-01 05:27:03
71343400000CDFI527200201800000503_07_08_PU2021-03-20 02:40:00.0유원시설업(기타)키다리방방<NA>부산광역시 기장군 정관읍 용수리 1328-746015부산광역시 기장군 정관읍 정관4로 42, 6층2018112620210318<NA><NA><NA>폐업폐업397365.068884205142.16694620210318115232<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-04-01 05:27:03
81403370000CDFI527200201800000203_07_08_PU2019-02-22 02:40:00.0유원시설업(기타)꼬마대통령 연산토곡점<NA>부산광역시 연제구 연산동 309-9번지47561부산광역시 연제구 과정로 314, A동 4층 (연산동)20181128<NA><NA><NA><NA>영업/정상영업중390609.616432189803.82264720190220105931<NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA>신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-04-01 05:27:03
91473330000CDFI527100201800000403_07_09_PU2019-03-16 02:40:00.0일반유원시설업상상체험+레이싱 키즈월드<NA>부산광역시 해운대구 우동 1413-4번지 벡스코제2전시장48060부산광역시 해운대구 APEC로 30, 벡스코제2전시장 3층 5B~E호 (우동)2018113020190304<NA><NA><NA>폐업폐업394457.407488187231.53045720190314094036<NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA>안전성검사 : 12종 12대, 확인검사 : 21종 27대<NA><NA><NA>허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-04-01 05:27:03
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelopenymdstroomcntbdngsrvnmcnstyareasvnsrplninsurstdtplninsurenddtplayutscntdtlplayfacilcntstagearculwrkrsenmculphyedcobnmmuseumkindnmmuseumsortnmgeicpfacilenbcfacilenbupnmbupesbmntobjbupdisorgymdinsurorgnminsurstdtinsurenddtafcshpinfoshpcntshptottonsmngmbdnmndloanmonknumfacilscpfacilarbelvnuminfobenengstntrnmnmengstntrnmaddroriginhistdispenencapttdtpnmmnfactreartclcnchaircntnearenvnmjgongymdjisgnumlayregnsenmasgncancelasgncancelwhyasgncancelymdundernumlayestbhdatetotnumlayclosewhycloseymdpermcnmeetsamtimesygstflast_load_dttm
11218313330000CDFI527100202000000203_07_09_PU2020-10-16 02:40:00.0일반유원시설업해운대블루라인(주)<NA>부산광역시 해운대구 중동 555-248116부산광역시 해운대구 청사포로 116, 2층 (중동)20201006<NA><NA><NA><NA>영업/정상영업중399573.805688186864.84707820201014142839<NA>051-701-5548<NA><NA><NA><NA><NA><NA><NA>안전성검사대상 유기기구 4대(1종)<NA><NA><NA>허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-04-01 05:27:03
11318453290000CDFI527200202000000103_07_08_PU2021-03-20 02:40:00.0유원시설업(기타)주식회사 짱지번우편번호부산광역시 부산진구 부전동 227-2 삼정타워47296부산광역시 부산진구 중앙대로 672, 삼정타워 9층 904호 (부전동)20201016폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중387608.014165185703.07900820210318173025업태구분명전화번호개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명신고유원시설업박물관미술관유형명박물관미술관종류명발방법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수154154.4신도수안영문상호명영문상호주소유래연혁의자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-04-01 05:27:03
11418463290000CDFI527200202000000103_07_08_PU2021-03-20 02:40:00.0유원시설업(기타)주식회사 짱지번우편번호부산광역시 부산진구 부전동 227-2 삼정타워47296부산광역시 부산진구 중앙대로 672, 삼정타워 9층 904호 (부전동)20201016폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중387608.014165185703.07900820210318173025업태구분명전화번호개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명신고유원시설업박물관미술관유형명박물관미술관종류명발방법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수154154.4신도수안영문상호명영문상호주소유래연혁의자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-04-01 05:27:03
11518613330000CDFI226216202000000103_07_03_PI2020-10-31 00:23:09.0관광유람선업주식회사 요트탈래<NA>부산광역시 해운대구 우동 1494 리버크루즈 매표시설48058부산광역시 해운대구 수영강변대로 85, 리버크루즈 매표시설 (우동)20201028<NA><NA><NA><NA>영업/정상영업중393605.745188187733.41076520201028165916<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반관광유람선업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1308847144<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-04-01 05:27:03
11618743330000CDFI527100202000000303_07_09_PI2020-11-08 00:23:09.0일반유원시설업상상체험 + 레이싱 키즈월드 5<NA>부산광역시 해운대구 우동 1413-4 벡스코제2전시장 5B~E호48060부산광역시 해운대구 APEC로 30, 벡스코제2전시장 5B~E호 (우동)20201106<NA><NA><NA><NA>영업/정상영업중394457.407488187231.53045720201106212003<NA>070-4801-6034<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-04-01 05:27:03
11718763330000CDFI527100202000000303_07_09_PI2020-11-08 00:23:09.0일반유원시설업상상체험 + 레이싱 키즈월드 5<NA>부산광역시 해운대구 우동 1413-4 벡스코제2전시장 5B~E호48060부산광역시 해운대구 APEC로 30, 벡스코제2전시장 5B~E호 (우동)20201106<NA><NA><NA><NA>영업/정상영업중394457.407488187231.53045720201106212003<NA>070-4801-6034<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-04-01 05:27:03
11819573400000CDFI527200202100000103_07_08_PI2021-01-13 00:23:04.0유원시설업(기타)카페재미<NA>부산광역시 기장군 정관읍 달산리 988-346024부산광역시 기장군 정관읍 정관6로 56, 2층20210111<NA><NA><NA><NA>영업/정상영업중398151.025866204319.0285720210111105820<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA>신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-04-01 05:27:03
11919703260000CDFI326110202100000103_07_01_PI2021-01-27 00:23:03.0관광궤도업(주)송도해상케이블카지번우편번호부산광역시 서구 암남동 765 송도케이블카 하부정류장49269부산광역시 서구 송도해변로 171, 송도케이블카 하부정류장 (암남동)20210125폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중384476.239479177168.18821620210125135339업태구분명051-247-9900개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명관광궤도업박물관미술관유형명박물관미술관종류명발방법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수시설규모시설면적신도수안영문상호명영문상호주소유래연혁의자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수주거지역지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-04-01 05:27:03
12019773330000CDFI527200202100000103_07_08_PI2021-02-05 00:23:13.0유원시설업(기타)키즈런<NA>부산광역시 해운대구 우동 1495 신세계백화점센텀시티점48058부산광역시 해운대구 센텀남대로 35, 신세계백화점센텀시티점 4층 (우동)20210203<NA><NA><NA><NA>영업/정상영업중393952.264486187602.93316120210203104521<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-04-01 05:27:03
12119983250000CDFI226216202100000103_07_03_PI2021-03-13 00:23:00.0관광유람선업부산드림하버(주)지번우편번호부산광역시 중구 중앙동6가 848943부산광역시 중구 대교로 116 (중앙동6가)20210310폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중385774.109341179843.76058320210310101114업태구분명051-465-9190개관일자객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적문화사업자구분명일반관광유람선업박물관미술관유형명박물관미술관종류명발방법인명법인설립목적법인해산일자보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수설립_운영주체구분명소요자금승려수시설규모시설면적신도수안영문상호명영문상호주소유래연혁의1000000000전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수지역구분명지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-04-01 05:27:03