Overview

Dataset statistics

Number of variables80
Number of observations121
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory76.6 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 (60.0%)Imbalance
opnsvcnm is highly imbalanced (60.0%)Imbalance
clgstdt is highly imbalanced (58.8%)Imbalance
clgenddt is highly imbalanced (58.8%)Imbalance
sitetel is highly imbalanced (52.0%)Imbalance
bdngsrvnm is highly imbalanced (56.6%)Imbalance
playutscntdtl is highly imbalanced (53.3%)Imbalance
culphyedcobnm is highly imbalanced (60.0%)Imbalance
geicpfacilen is highly imbalanced (50.3%)Imbalance
capt is highly imbalanced (58.8%)Imbalance
nearenvnm is highly imbalanced (50.7%)Imbalance
jisgnumlay is highly imbalanced (65.1%)Imbalance
regnsenm is highly imbalanced (60.5%)Imbalance
undernumlay is highly imbalanced (65.1%)Imbalance
totnumlay is highly imbalanced (65.1%)Imbalance
skey has unique valuesUnique

Reproduction

Analysis started2024-04-17 18:45:51.536025
Analysis finished2024-04-17 18:45:52.387155
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean814.61157
Minimum45
Maximum1977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T03:45:52.442415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile96
Q1398
median733
Q31288
95-th percentile1846
Maximum1977
Range1932
Interquartile range (IQR)890

Descriptive statistics

Standard deviation536.95705
Coefficient of variation (CV)0.65915716
Kurtosis-0.78504668
Mean814.61157
Median Absolute Deviation (MAD)378
Skewness0.52056133
Sum98568
Variance288322.87
MonotonicityNot monotonic
2024-04-18T03:45:52.556466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 1
 
0.8%
1262 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%
995 1
 
0.8%
Other values (111) 111
91.7%
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 (%)
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%
1801 1
0.8%

opnsfteamcode
Real number (ℝ)

Distinct14
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3331074.4
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T03:45:52.654106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13310000
median3330000
Q33350000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation41549.201
Coefficient of variation (CV)0.012473213
Kurtosis-0.40970222
Mean3331074.4
Median Absolute Deviation (MAD)20000
Skewness-0.046881671
Sum4.0306 × 108
Variance1.7263361 × 109
MonotonicityNot monotonic
2024-04-18T03:45:52.742069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3330000 27
22.3%
3400000 15
12.4%
3340000 15
12.4%
3290000 10
 
8.3%
3310000 8
 
6.6%
3250000 8
 
6.6%
3320000 7
 
5.8%
3300000 7
 
5.8%
3370000 6
 
5.0%
3390000 5
 
4.1%
Other values (4) 13
10.7%
ValueCountFrequency (%)
3250000 8
 
6.6%
3260000 4
 
3.3%
3280000 1
 
0.8%
3290000 10
 
8.3%
3300000 7
 
5.8%
3310000 8
 
6.6%
3320000 7
 
5.8%
3330000 27
22.3%
3340000 15
12.4%
3350000 4
 
3.3%
ValueCountFrequency (%)
3400000 15
12.4%
3390000 5
 
4.1%
3370000 6
 
5.0%
3360000 4
 
3.3%
3350000 4
 
3.3%
3340000 15
12.4%
3330000 27
22.3%
3320000 7
 
5.8%
3310000 8
 
6.6%
3300000 7
 
5.8%

mgtno
Categorical

Distinct28
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
CDFI5272002019000001
20 
CDFI5272002019000002
16 
CDFI5272002019000003
15 
CDFI5272002020000001
7 
CDFI5272002019000004
7 
Other values (23)
56 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique7 ?
Unique (%)5.8%

Sample

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

Common Values

ValueCountFrequency (%)
CDFI5272002019000001 20
16.5%
CDFI5272002019000002 16
13.2%
CDFI5272002019000003 15
12.4%
CDFI5272002020000001 7
 
5.8%
CDFI5272002019000004 7
 
5.8%
CDFI5271002019000001 7
 
5.8%
CDFI5272002019000005 7
 
5.8%
CDFI5272002018000002 3
 
2.5%
CDFI5272002018000003 3
 
2.5%
CDFI5272002018000008 3
 
2.5%
Other values (18) 33
27.3%

Length

2024-04-18T03:45:52.837898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdfi5272002019000001 20
16.5%
cdfi5272002019000002 16
13.2%
cdfi5272002019000003 15
12.4%
cdfi5272002020000001 7
 
5.8%
cdfi5272002019000004 7
 
5.8%
cdfi5271002019000001 7
 
5.8%
cdfi5272002019000005 7
 
5.8%
cdfi5271002018000004 3
 
2.5%
cdfi5271002019000003 3
 
2.5%
cdfi5272002020000002 3
 
2.5%
Other values (18) 33
27.3%

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
 
1
03_07_01_P
 
1

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique2 ?
Unique (%)1.7%

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
81.0%
03_07_09_P 21
 
17.4%
03_07_03_P 1
 
0.8%
03_07_01_P 1
 
0.8%

Length

2024-04-18T03:45:52.927446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:53.005429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_08_p 98
81.0%
03_07_09_p 21
 
17.4%
03_07_03_p 1
 
0.8%
03_07_01_p 1
 
0.8%

updategbn
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
U
80 
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 80
66.1%
I 41
33.9%

Length

2024-04-18T03:45:53.086477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:53.158026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 80
66.1%
i 41
33.9%

updatedt
Date

Distinct65
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-10-21 02:36:15
Maximum2021-02-28 02:40:00
2024-04-18T03:45:53.238211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:45:53.343044image/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
 
1
관광궤도업
 
1

Length

Max length9
Median length9
Mean length8.5950413
Min length5

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
유원시설업(기타) 98
81.0%
일반유원시설업 21
 
17.4%
관광유람선업 1
 
0.8%
관광궤도업 1
 
0.8%

Length

2024-04-18T03:45:53.450682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:53.535781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유원시설업(기타 98
81.0%
일반유원시설업 21
 
17.4%
관광유람선업 1
 
0.8%
관광궤도업 1
 
0.8%

bplcnm
Text

Distinct77
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-18T03:45:53.683866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length9.9669421
Min length3

Characters and Unicode

Total characters1206
Distinct characters208
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

Unique54 ?
Unique (%)44.6%

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
 
2.6%
주식회사 5
 
2.1%
키즈카페 4
 
1.7%
주)아이조아키즈랜드 4
 
1.7%
키즈팡팡 4
 
1.7%
시즌2 4
 
1.7%
실내썰매 4
 
1.7%
Other values (107) 170
72.3%
2024-04-18T03:45:53.956774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
9.5%
키 48
 
4.0%
즈 47
 
3.9%
이 41
 
3.4%
점 40
 
3.3%
드 27
 
2.2%
상 23
 
1.9%
) 21
 
1.7%
( 21
 
1.7%
주 20
 
1.7%
Other values (198) 804
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 960
79.6%
Space Separator 114
 
9.5%
Uppercase Letter 51
 
4.2%
Close Punctuation 21
 
1.7%
Open Punctuation 21
 
1.7%
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 48
 
5.0%
즈 47
 
4.9%
이 41
 
4.3%
점 40
 
4.2%
드 27
 
2.8%
상 23
 
2.4%
주 20
 
2.1%
스 19
 
2.0%
리 18
 
1.9%
대 18
 
1.9%
Other values (167) 659
68.6%
Uppercase Letter
ValueCountFrequency (%)
N 8
15.7%
O 8
15.7%
G 8
15.7%
K 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%
e 1
12.5%
v 1
12.5%
i 1
12.5%
d 1
12.5%
r 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 (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Math Symbol
ValueCountFrequency (%)
+ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 960
79.6%
Common 187
 
15.5%
Latin 59
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
키 48
 
5.0%
즈 47
 
4.9%
이 41
 
4.3%
점 40
 
4.2%
드 27
 
2.8%
상 23
 
2.4%
주 20
 
2.1%
스 19
 
2.0%
리 18
 
1.9%
대 18
 
1.9%
Other values (167) 659
68.6%
Latin
ValueCountFrequency (%)
N 8
13.6%
O 8
13.6%
G 8
13.6%
K 8
13.6%
V 5
8.5%
R 5
8.5%
W 2
 
3.4%
l 2
 
3.4%
E 2
 
3.4%
Z 1
 
1.7%
Other values (10) 10
16.9%
Common
ValueCountFrequency (%)
114
61.0%
) 21
 
11.2%
( 21
 
11.2%
+ 12
 
6.4%
3 7
 
3.7%
2 4
 
2.1%
4 3
 
1.6%
5 2
 
1.1%
- 1
 
0.5%
, 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 960
79.6%
ASCII 246
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
46.3%
) 21
 
8.5%
( 21
 
8.5%
+ 12
 
4.9%
N 8
 
3.3%
O 8
 
3.3%
G 8
 
3.3%
K 8
 
3.3%
3 7
 
2.8%
V 5
 
2.0%
Other values (21) 34
 
13.8%
Hangul
ValueCountFrequency (%)
키 48
 
5.0%
즈 47
 
4.9%
이 41
 
4.3%
점 40
 
4.2%
드 27
 
2.8%
상 23
 
2.4%
주 20
 
2.1%
스 19
 
2.0%
리 18
 
1.9%
대 18
 
1.9%
Other values (167) 659
68.6%

sitepostno
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
지번우편번호
17 

Length

Max length6
Median length4
Mean length4.2809917
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
지번우편번호 17
 
14.0%

Length

2024-04-18T03:45:54.067376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:54.146692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
지번우편번호 17
 
14.0%

sitewhladdr
Text

Distinct73
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-18T03:45:54.364001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length28.842975
Min length18

Characters and Unicode

Total characters3490
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

Unique51 ?
Unique (%)42.1%

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 3420-6번지
5th row부산광역시 강서구 명지동 3420-6번지
ValueCountFrequency (%)
부산광역시 121
 
18.8%
해운대구 27
 
4.2%
우동 20
 
3.1%
벡스코제2전시장 16
 
2.5%
기장군 15
 
2.3%
사하구 15
 
2.3%
1413-4번지 14
 
2.2%
부산진구 10
 
1.6%
부전동 8
 
1.2%
227-2 8
 
1.2%
Other values (193) 391
60.6%
2024-04-18T03:45:54.728019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
611
 
17.5%
부 150
 
4.3%
시 147
 
4.2%
산 145
 
4.2%
광 126
 
3.6%
역 121
 
3.5%
동 119
 
3.4%
1 115
 
3.3%
구 109
 
3.1%
2 104
 
3.0%
Other values (182) 1743
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2117
60.7%
Space Separator 611
 
17.5%
Decimal Number 609
 
17.4%
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 150
 
7.1%
시 147
 
6.9%
산 145
 
6.8%
광 126
 
6.0%
역 121
 
5.7%
동 119
 
5.6%
구 109
 
5.1%
지 83
 
3.9%
번 74
 
3.5%
장 53
 
2.5%
Other values (154) 990
46.8%
Uppercase Letter
ValueCountFrequency (%)
B 15
37.5%
E 8
20.0%
F 4
 
10.0%
C 4
 
10.0%
S 2
 
5.0%
K 2
 
5.0%
G 1
 
2.5%
W 1
 
2.5%
H 1
 
2.5%
U 1
 
2.5%
Decimal Number
ValueCountFrequency (%)
1 115
18.9%
2 104
17.1%
4 90
14.8%
5 61
10.0%
3 58
9.5%
9 44
 
7.2%
0 44
 
7.2%
7 43
 
7.1%
6 29
 
4.8%
8 21
 
3.4%
Space Separator
ValueCountFrequency (%)
611
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 2117
60.7%
Common 1332
38.2%
Latin 41
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 150
 
7.1%
시 147
 
6.9%
산 145
 
6.8%
광 126
 
6.0%
역 121
 
5.7%
동 119
 
5.6%
구 109
 
5.1%
지 83
 
3.9%
번 74
 
3.5%
장 53
 
2.5%
Other values (154) 990
46.8%
Common
ValueCountFrequency (%)
611
45.9%
1 115
 
8.6%
2 104
 
7.8%
- 92
 
6.9%
4 90
 
6.8%
5 61
 
4.6%
3 58
 
4.4%
9 44
 
3.3%
0 44
 
3.3%
7 43
 
3.2%
Other values (6) 70
 
5.3%
Latin
ValueCountFrequency (%)
B 15
36.6%
E 8
19.5%
F 4
 
9.8%
C 4
 
9.8%
S 2
 
4.9%
K 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 2117
60.7%
ASCII 1372
39.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
611
44.5%
1 115
 
8.4%
2 104
 
7.6%
- 92
 
6.7%
4 90
 
6.6%
5 61
 
4.4%
3 58
 
4.2%
9 44
 
3.2%
0 44
 
3.2%
7 43
 
3.1%
Other values (17) 110
 
8.0%
Hangul
ValueCountFrequency (%)
부 150
 
7.1%
시 147
 
6.9%
산 145
 
6.8%
광 126
 
6.0%
역 121
 
5.7%
동 119
 
5.6%
구 109
 
5.1%
지 83
 
3.9%
번 74
 
3.5%
장 53
 
2.5%
Other values (154) 990
46.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

rdnpostno
Real number (ℝ)

Distinct55
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47776.231
Minimum46015
Maximum49525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T03:45:54.839005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46015
5-th percentile46029
Q146930
median48058
Q348515
95-th percentile49419
Maximum49525
Range3510
Interquartile range (IQR)1585

Descriptive statistics

Standard deviation1095.6505
Coefficient of variation (CV)0.022932962
Kurtosis-1.0514183
Mean47776.231
Median Absolute Deviation (MAD)886
Skewness-0.094962116
Sum5780924
Variance1200450
MonotonicityNot monotonic
2024-04-18T03:45:54.943739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48060 16
 
13.2%
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 (45) 65
53.7%
ValueCountFrequency (%)
46015 3
2.5%
46024 1
 
0.8%
46029 5
4.1%
46066 4
3.3%
46084 2
 
1.7%
46214 1
 
0.8%
46218 1
 
0.8%
46241 2
 
1.7%
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

Distinct73
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-18T03:45:55.191571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length35.578512
Min length21

Characters and Unicode

Total characters4305
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

Unique50 ?
Unique (%)41.3%

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 121
 
14.3%
해운대구 27
 
3.2%
30 20
 
2.4%
우동 20
 
2.4%
apec로 16
 
1.9%
벡스코제2전시장 16
 
1.9%
중앙대로 16
 
1.9%
사하구 15
 
1.8%
3층 15
 
1.8%
기장군 15
 
1.8%
Other values (254) 567
66.9%
2024-04-18T03:45:55.769459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
727
 
16.9%
부 152
 
3.5%
시 148
 
3.4%
산 147
 
3.4%
동 135
 
3.1%
, 131
 
3.0%
광 129
 
3.0%
로 121
 
2.8%
역 121
 
2.8%
( 109
 
2.5%
Other values (202) 2385
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2489
57.8%
Space Separator 727
 
16.9%
Decimal Number 599
 
13.9%
Other Punctuation 131
 
3.0%
Uppercase Letter 119
 
2.8%
Open Punctuation 109
 
2.5%
Close Punctuation 109
 
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 152
 
6.1%
시 148
 
5.9%
산 147
 
5.9%
동 135
 
5.4%
광 129
 
5.2%
로 121
 
4.9%
역 121
 
4.9%
구 109
 
4.4%
대 92
 
3.7%
층 72
 
2.9%
Other values (170) 1263
50.7%
Uppercase Letter
ValueCountFrequency (%)
E 27
22.7%
C 21
17.6%
B 21
17.6%
A 17
14.3%
P 16
13.4%
F 5
 
4.2%
S 3
 
2.5%
K 2
 
1.7%
W 1
 
0.8%
H 1
 
0.8%
Other values (5) 5
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 99
16.5%
3 96
16.0%
2 86
14.4%
0 71
11.9%
5 61
10.2%
6 60
10.0%
4 49
8.2%
7 39
 
6.5%
8 29
 
4.8%
9 9
 
1.5%
Space Separator
ValueCountFrequency (%)
727
100.0%
Other Punctuation
ValueCountFrequency (%)
, 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 109
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 2489
57.8%
Common 1696
39.4%
Latin 120
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 152
 
6.1%
시 148
 
5.9%
산 147
 
5.9%
동 135
 
5.4%
광 129
 
5.2%
로 121
 
4.9%
역 121
 
4.9%
구 109
 
4.4%
대 92
 
3.7%
층 72
 
2.9%
Other values (170) 1263
50.7%
Common
ValueCountFrequency (%)
727
42.9%
, 131
 
7.7%
( 109
 
6.4%
) 109
 
6.4%
1 99
 
5.8%
3 96
 
5.7%
2 86
 
5.1%
0 71
 
4.2%
5 61
 
3.6%
6 60
 
3.5%
Other values (6) 147
 
8.7%
Latin
ValueCountFrequency (%)
E 27
22.5%
C 21
17.5%
B 21
17.5%
A 17
14.2%
P 16
13.3%
F 5
 
4.2%
S 3
 
2.5%
K 2
 
1.7%
W 1
 
0.8%
Ⅱ 1
 
0.8%
Other values (6) 6
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2489
57.8%
ASCII 1815
42.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
727
40.1%
, 131
 
7.2%
( 109
 
6.0%
) 109
 
6.0%
1 99
 
5.5%
3 96
 
5.3%
2 86
 
4.7%
0 71
 
3.9%
5 61
 
3.4%
6 60
 
3.3%
Other values (21) 266
 
14.7%
Hangul
ValueCountFrequency (%)
부 152
 
6.1%
시 148
 
5.9%
산 147
 
5.9%
동 135
 
5.4%
광 129
 
5.2%
로 121
 
4.9%
역 121
 
4.9%
구 109
 
4.4%
대 92
 
3.7%
층 72
 
2.9%
Other values (170) 1263
50.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

apvpermymd
Real number (ℝ)

Distinct70
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20190774
Minimum20181019
Maximum20210203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T03:45:55.883398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20181019
5-th percentile20181114
Q120190208
median20190605
Q320191206
95-th percentile20201016
Maximum20210203
Range29184
Interquartile range (IQR)998

Descriptive statistics

Standard deviation6215.7242
Coefficient of variation (CV)0.00030784972
Kurtosis1.3502462
Mean20190774
Median Absolute Deviation (MAD)482
Skewness0.64828664
Sum2.4430837 × 109
Variance38635228
MonotonicityNot monotonic
2024-04-18T03:45:55.989950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190705 6
 
5.0%
20190208 6
 
5.0%
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%
20190621 3
 
2.5%
Other values (60) 85
70.2%
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 (%)
20210203 1
0.8%
20210125 1
0.8%
20210111 1
0.8%
20201106 2
1.7%
20201028 1
0.8%
20201016 2
1.7%
20201006 1
0.8%
20200814 1
0.8%
20200701 1
0.8%
20200429 1
0.8%

dcbymd
Categorical

Distinct17
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
77 
폐업일자
17 
20190304
 
4
20200910
 
3
20200605
 
3
Other values (12)
17 

Length

Max length8
Median length4
Mean length4.892562
Min length4

Unique

Unique9 ?
Unique (%)7.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 77
63.6%
폐업일자 17
 
14.0%
20190304 4
 
3.3%
20200910 3
 
2.5%
20200605 3
 
2.5%
20200828 3
 
2.5%
20200301 3
 
2.5%
20201005 2
 
1.7%
20200916 1
 
0.8%
20201130 1
 
0.8%
Other values (7) 7
 
5.8%

Length

2024-04-18T03:45:56.103904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 77
63.6%
폐업일자 17
 
14.0%
20190304 4
 
3.3%
20200910 3
 
2.5%
20200605 3
 
2.5%
20200828 3
 
2.5%
20200301 3
 
2.5%
20201005 2
 
1.7%
20191031 1
 
0.8%
20200131 1
 
0.8%
Other values (7) 7
 
5.8%

clgstdt
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
103 
휴업시작일자
17 
20200515
 
1

Length

Max length8
Median length4
Mean length4.3140496
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 103
85.1%
휴업시작일자 17
 
14.0%
20200515 1
 
0.8%

Length

2024-04-18T03:45:56.208621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:56.297771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 103
85.1%
휴업시작일자 17
 
14.0%
20200515 1
 
0.8%

clgenddt
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
103 
휴업종료일자
17 
20220515
 
1

Length

Max length8
Median length4
Mean length4.3140496
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 103
85.1%
휴업종료일자 17
 
14.0%
20220515 1
 
0.8%

Length

2024-04-18T03:45:56.389870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:56.470175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 103
85.1%
휴업종료일자 17
 
14.0%
20220515 1
 
0.8%

ropnymd
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
재개업일자
17 

Length

Max length5
Median length4
Mean length4.1404959
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
재개업일자 17
 
14.0%

Length

2024-04-18T03:45:56.549450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:56.622662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
재개업일자 17
 
14.0%

trdstatenm
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
87 
폐업
30 
<NA>
 
3
휴업
 
1

Length

Max length5
Median length5
Mean length4.2066116
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 87
71.9%
폐업 30
 
24.8%
<NA> 3
 
2.5%
휴업 1
 
0.8%

Length

2024-04-18T03:45:56.709777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:56.796215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 87
71.9%
폐업 30
 
24.8%
na 3
 
2.5%
휴업 1
 
0.8%

dtlstatenm
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
90 
폐업
30 
휴업
 
1

Length

Max length3
Median length3
Mean length2.7438017
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 90
74.4%
폐업 30
 
24.8%
휴업 1
 
0.8%

Length

2024-04-18T03:45:56.877014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:56.951472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 90
74.4%
폐업 30
 
24.8%
휴업 1
 
0.8%

x
Real number (ℝ)

Distinct63
Distinct (%)52.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean389152.71
Minimum374851.7
Maximum403214.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T03:45:57.032367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum374851.7
5-th percentile377477.95
Q1383217.25
median387686.19
Q3394457.41
95-th percentile401671.56
Maximum403214.46
Range28362.767
Interquartile range (IQR)11240.154

Descriptive statistics

Standard deviation7316.8745
Coefficient of variation (CV)0.018802065
Kurtosis-0.77088308
Mean389152.71
Median Absolute Deviation (MAD)6429.7729
Skewness0.089479913
Sum47087478
Variance53536653
MonotonicityNot monotonic
2024-04-18T03:45:57.134029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
394457.407487917 16
 
13.2%
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 (53) 70
57.9%
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
1.7%
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)

Distinct63
Distinct (%)52.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187228.8
Minimum174289.98
Maximum205142.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T03:45:57.235748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174289.98
5-th percentile177168.19
Q1180773.91
median187231.53
Q3190361.49
95-th percentile204631.53
Maximum205142.17
Range30852.19
Interquartile range (IQR)9587.5811

Descriptive statistics

Standard deviation7383.6914
Coefficient of variation (CV)0.039436728
Kurtosis0.32017791
Mean187228.8
Median Absolute Deviation (MAD)3597.5859
Skewness0.69665709
Sum22654685
Variance54518898
MonotonicityNot monotonic
2024-04-18T03:45:57.335664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187231.530457387 16
 
13.2%
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 (53) 70
57.9%
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)

Distinct78
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0197045 × 1013
Minimum2.0181019 × 1013
Maximum2.0210226 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-18T03:45:57.461182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0181019 × 1013
5-th percentile2.019022 × 1013
Q12.0190716 × 1013
median2.020021 × 1013
Q32.0201111 × 1013
95-th percentile2.0210122 × 1013
Maximum2.0210226 × 1013
Range2.9207016 × 1010
Interquartile range (IQR)1.039497 × 1010

Descriptive statistics

Standard deviation7.3071154 × 109
Coefficient of variation (CV)0.00036179132
Kurtosis-0.43493427
Mean2.0197045 × 1013
Median Absolute Deviation (MAD)9.0910712 × 109
Skewness-0.081652828
Sum2.4438424 × 1015
Variance5.3393935 × 1019
MonotonicityNot monotonic
2024-04-18T03:45:57.569617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20181019164838 3
 
2.5%
20190621111922 3
 
2.5%
20200205113751 3
 
2.5%
20190315163835 3
 
2.5%
20190731140111 3
 
2.5%
20190419171251 3
 
2.5%
20200303134324 3
 
2.5%
20190716171413 3
 
2.5%
20201218164433 3
 
2.5%
20200608174135 3
 
2.5%
Other values (68) 91
75.2%
ValueCountFrequency (%)
20181019164838 3
2.5%
20181126154404 1
 
0.8%
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%
ValueCountFrequency (%)
20210226180426 1
 
0.8%
20210222164841 3
2.5%
20210203104521 1
 
0.8%
20210125135339 1
 
0.8%
20210122132602 3
2.5%
20210114145230 1
 
0.8%
20210111160716 2
1.7%
20210111105820 1
 
0.8%
20201218164602 2
1.7%
20201218164433 3
2.5%

uptaenm
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
업태구분명
17 

Length

Max length5
Median length4
Mean length4.1404959
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
업태구분명 17
 
14.0%

Length

2024-04-18T03:45:57.673352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:57.746679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
업태구분명 17
 
14.0%

sitetel
Categorical

IMBALANCE 

Distinct19
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
051-123-1234
81 
<NA>
15 
051-506-6767
 
3
07040251516
 
3
051-292-1092
 
3
Other values (14)
16 

Length

Max length13
Median length12
Mean length10.950413
Min length4

Unique

Unique12 ?
Unique (%)9.9%

Sample

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

Common Values

ValueCountFrequency (%)
051-123-1234 81
66.9%
<NA> 15
 
12.4%
051-506-6767 3
 
2.5%
07040251516 3
 
2.5%
051-292-1092 3
 
2.5%
051-509-7391 2
 
1.7%
070-4801-6034 2
 
1.7%
051-505-0506 1
 
0.8%
051-701-5548 1
 
0.8%
051-940-1696 1
 
0.8%
Other values (9) 9
 
7.4%

Length

2024-04-18T03:45:57.823566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
051-123-1234 81
66.9%
na 15
 
12.4%
051-506-6767 3
 
2.5%
07040251516 3
 
2.5%
051-292-1092 3
 
2.5%
051-509-7391 2
 
1.7%
070-4801-6034 2
 
1.7%
051-896-1666 1
 
0.8%
070-8672-4057 1
 
0.8%
051-622-0150 1
 
0.8%
Other values (9) 9
 
7.4%

openymd
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
개관일자
17 

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 row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
개관일자 17
 
14.0%

Length

2024-04-18T03:45:57.909290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:57.980012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
개관일자 17
 
14.0%

stroomcnt
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
객실수
17 

Length

Max length4
Median length4
Mean length3.8595041
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
객실수 17
 
14.0%

Length

2024-04-18T03:45:58.055129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:58.127648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
객실수 17
 
14.0%

bdngsrvnm
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
97 
건물용도명
14 
근린생활시설
 
7
문화시설
 
2
기타
 
1

Length

Max length6
Median length4
Mean length4.214876
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
80.2%
건물용도명 14
 
11.6%
근린생활시설 7
 
5.8%
문화시설 2
 
1.7%
기타 1
 
0.8%

Length

2024-04-18T03:45:58.213117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:58.301135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
80.2%
건물용도명 14
 
11.6%
근린생활시설 7
 
5.8%
문화시설 2
 
1.7%
기타 1
 
0.8%

cnstyarea
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
건축연면적
17 

Length

Max length5
Median length4
Mean length4.1404959
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
건축연면적 17
 
14.0%

Length

2024-04-18T03:45:58.389422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:58.460740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
건축연면적 17
 
14.0%

svnsr
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
기념품종류
17 

Length

Max length5
Median length4
Mean length4.1404959
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
기념품종류 17
 
14.0%

Length

2024-04-18T03:45:58.539051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:58.610693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
기념품종류 17
 
14.0%

plninsurstdt
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
기획여행보험시작일자
17 

Length

Max length10
Median length4
Mean length4.8429752
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
기획여행보험시작일자 17
 
14.0%

Length

2024-04-18T03:45:58.694480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:58.788792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
기획여행보험시작일자 17
 
14.0%

plninsurenddt
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
기획여행보험종료일자
17 

Length

Max length10
Median length4
Mean length4.8429752
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
기획여행보험종료일자 17
 
14.0%

Length

2024-04-18T03:45:58.894762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:58.974314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
기획여행보험종료일자 17
 
14.0%

playutscntdtl
Categorical

IMBALANCE 

Distinct16
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
84 
놀이기구수내역
14 
안전성검사 : 12종 12대, 확인검사 : 21종 27대
 
3
26종 29대
 
3
1(놀이형:에어바운스)
 
3
Other values (11)
14 

Length

Max length42
Median length4
Mean length7.8429752
Min length4

Unique

Unique9 ?
Unique (%)7.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 84
69.4%
놀이기구수내역 14
 
11.6%
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
 
1.7%
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
 
5.0%

Length

2024-04-18T03:45:59.058720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 84
44.2%
놀이기구수내역 14
 
7.4%
안전성검사 6
 
3.2%
6
 
3.2%
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
31.6%

playfacilcnt
Categorical

Distinct7
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
82 
놀이시설수
17 
1
14 
6
 
3
0
 
3
Other values (2)
 
2

Length

Max length5
Median length4
Mean length3.5950413
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 82
67.8%
놀이시설수 17
 
14.0%
1 14
 
11.6%
6 3
 
2.5%
0 3
 
2.5%
3 1
 
0.8%
2 1
 
0.8%

Length

2024-04-18T03:45:59.159367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:59.276813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
67.8%
놀이시설수 17
 
14.0%
1 14
 
11.6%
6 3
 
2.5%
0 3
 
2.5%
3 1
 
0.8%
2 1
 
0.8%

stagear
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
무대면적
17 

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 row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
무대면적 17
 
14.0%

Length

2024-04-18T03:45:59.370398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:59.443052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
무대면적 17
 
14.0%

culwrkrsenm
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
문화사업자구분명
17 

Length

Max length8
Median length4
Mean length4.5619835
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
문화사업자구분명 17
 
14.0%

Length

2024-04-18T03:45:59.550459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:59.645202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
문화사업자구분명 17
 
14.0%

culphyedcobnm
Categorical

IMBALANCE 

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

Length

Max length8
Median length7
Mean length6.9917355
Min length5

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
신고유원시설업 98
81.0%
허가유원시설업 21
 
17.4%
일반관광유람선업 1
 
0.8%
관광궤도업 1
 
0.8%

Length

2024-04-18T03:45:59.726222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:59.806233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고유원시설업 98
81.0%
허가유원시설업 21
 
17.4%
일반관광유람선업 1
 
0.8%
관광궤도업 1
 
0.8%

museumkindnm
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
박물관미술관유형명
17 

Length

Max length9
Median length4
Mean length4.7024793
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
박물관미술관유형명 17
 
14.0%

Length

2024-04-18T03:45:59.888167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:45:59.961015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
박물관미술관유형명 17
 
14.0%

museumsortnm
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
박물관미술관종류명
17 

Length

Max length9
Median length4
Mean length4.7024793
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
박물관미술관종류명 17
 
14.0%

Length

2024-04-18T03:46:00.040390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:00.114819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
박물관미술관종류명 17
 
14.0%

geicpfacilen
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
100 
발
17 
Y
 
4

Length

Max length4
Median length4
Mean length3.4793388
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 100
82.6%
발 17
 
14.0%
Y 4
 
3.3%

Length

2024-04-18T03:46:00.194491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:00.274000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 100
82.6%
발 17
 
14.0%
y 4
 
3.3%

bcfacilen
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
97 
방
17 
Y
 
7

Length

Max length4
Median length4
Mean length3.4049587
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
80.2%
방 17
 
14.0%
Y 7
 
5.8%

Length

2024-04-18T03:46:00.588148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:00.666704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
80.2%
방 17
 
14.0%
y 7
 
5.8%

bupnm
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
법인명
17 

Length

Max length4
Median length4
Mean length3.8595041
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
법인명 17
 
14.0%

Length

2024-04-18T03:46:00.768314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:00.869117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
법인명 17
 
14.0%

bupesbmntobj
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
법인설립목적
17 

Length

Max length6
Median length4
Mean length4.2809917
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
법인설립목적 17
 
14.0%

Length

2024-04-18T03:46:00.964131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:01.044509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
법인설립목적 17
 
14.0%

bupdisorgymd
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
법인해산일자
17 

Length

Max length6
Median length4
Mean length4.2809917
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
법인해산일자 17
 
14.0%

Length

2024-04-18T03:46:01.131483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:01.228841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
법인해산일자 17
 
14.0%

insurorgnm
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
보험기관명
17 

Length

Max length5
Median length4
Mean length4.1404959
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
보험기관명 17
 
14.0%

Length

2024-04-18T03:46:01.306897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:01.392400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
보험기관명 17
 
14.0%

insurstdt
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
보험시작일자
17 

Length

Max length6
Median length4
Mean length4.2809917
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
보험시작일자 17
 
14.0%

Length

2024-04-18T03:46:01.480603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:01.562474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
보험시작일자 17
 
14.0%

insurenddt
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
보험종료일자
17 

Length

Max length6
Median length4
Mean length4.2809917
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
보험종료일자 17
 
14.0%

Length

2024-04-18T03:46:01.648162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:01.736143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
보험종료일자 17
 
14.0%

afc
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
부대시설내역
17 

Length

Max length6
Median length4
Mean length4.2809917
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
부대시설내역 17
 
14.0%

Length

2024-04-18T03:46:01.821990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:01.902605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
부대시설내역 17
 
14.0%

shpinfo
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
선박제원
17 

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 row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
선박제원 17
 
14.0%

Length

2024-04-18T03:46:01.980772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:02.052493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
선박제원 17
 
14.0%

shpcnt
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
선박척수
17 

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 row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
선박척수 17
 
14.0%

Length

2024-04-18T03:46:02.131239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:02.220960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
선박척수 17
 
14.0%

shptottons
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
선박총톤수
17 

Length

Max length5
Median length4
Mean length4.1404959
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
선박총톤수 17
 
14.0%

Length

2024-04-18T03:46:02.302200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:02.378601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
선박총톤수 17
 
14.0%

mngmbdnm
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
설립_운영주체구분명
17 

Length

Max length10
Median length4
Mean length4.8429752
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
설립_운영주체구분명 17
 
14.0%

Length

2024-04-18T03:46:02.461231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:02.536378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
설립_운영주체구분명 17
 
14.0%

ndloan
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
소요자금
17 

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 row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
소요자금 17
 
14.0%

Length

2024-04-18T03:46:02.614876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:02.687210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
소요자금 17
 
14.0%

monknum
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
승려수
17 

Length

Max length4
Median length4
Mean length3.8595041
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
승려수 17
 
14.0%

Length

2024-04-18T03:46:02.767589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:02.860175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
승려수 17
 
14.0%

facilscp
Categorical

Distinct18
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
77 
시설규모
16 
234
 
3
288
 
3
76
 
3
Other values (13)
19 

Length

Max length4
Median length4
Mean length3.8016529
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> 77
63.6%
시설규모 16
 
13.2%
234 3
 
2.5%
288 3
 
2.5%
76 3
 
2.5%
1772 3
 
2.5%
495 3
 
2.5%
154 2
 
1.7%
1332 2
 
1.7%
1445 1
 
0.8%
Other values (8) 8
 
6.6%

Length

2024-04-18T03:46:02.955643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 77
63.6%
시설규모 16
 
13.2%
234 3
 
2.5%
288 3
 
2.5%
76 3
 
2.5%
1772 3
 
2.5%
495 3
 
2.5%
154 2
 
1.7%
1332 2
 
1.7%
735 1
 
0.8%
Other values (8) 8
 
6.6%

facilar
Categorical

Distinct18
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
77 
시설면적
16 
233.59
 
3
288.2
 
3
76
 
3
Other values (13)
19 

Length

Max length6
Median length4
Mean length4.1983471
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> 77
63.6%
시설면적 16
 
13.2%
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
 
1.7%
1332 2
 
1.7%
1445.4 1
 
0.8%
Other values (8) 8
 
6.6%

Length

2024-04-18T03:46:03.078898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 77
63.6%
시설면적 16
 
13.2%
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
 
1.7%
1332 2
 
1.7%
735.3 1
 
0.8%
Other values (8) 8
 
6.6%

belvnum
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
신도수
17 

Length

Max length4
Median length4
Mean length3.8595041
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
신도수 17
 
14.0%

Length

2024-04-18T03:46:03.202162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:03.300518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
신도수 17
 
14.0%

infoben
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
96 
안
17 
Y
 
8

Length

Max length4
Median length4
Mean length3.3801653
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
79.3%
안 17
 
14.0%
Y 8
 
6.6%

Length

2024-04-18T03:46:03.388340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:03.466190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
79.3%
안 17
 
14.0%
y 8
 
6.6%

engstntrnmnm
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
영문상호명
17 

Length

Max length5
Median length4
Mean length4.1404959
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
영문상호명 17
 
14.0%

Length

2024-04-18T03:46:03.544508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:03.615944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
영문상호명 17
 
14.0%

engstntrnmaddr
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
영문상호주소
17 

Length

Max length6
Median length4
Mean length4.2809917
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
영문상호주소 17
 
14.0%

Length

2024-04-18T03:46:03.700648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:03.779038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
영문상호주소 17
 
14.0%

originhist
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
유래연혁
17 

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 row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
유래연혁 17
 
14.0%

Length

2024-04-18T03:46:03.855649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:03.927700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
유래연혁 17
 
14.0%

dispenen
Categorical

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
97 
의
17 
Y
 
7

Length

Max length4
Median length4
Mean length3.4049587
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
80.2%
의 17
 
14.0%
Y 7
 
5.8%

Length

2024-04-18T03:46:04.032668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:04.119781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
80.2%
의 17
 
14.0%
y 7
 
5.8%

capt
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
103 
자본금
17 
1308847144
 
1

Length

Max length10
Median length4
Mean length3.9090909
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 103
85.1%
자본금 17
 
14.0%
1308847144 1
 
0.8%

Length

2024-04-18T03:46:04.202368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:04.281991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 103
85.1%
자본금 17
 
14.0%
1308847144 1
 
0.8%

tdtpnm
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
전통사찰명
17 

Length

Max length5
Median length4
Mean length4.1404959
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
전통사찰명 17
 
14.0%

Length

2024-04-18T03:46:04.374542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:04.460553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
전통사찰명 17
 
14.0%

mnfactreartclcn
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
제작취급품목내용
17 

Length

Max length8
Median length4
Mean length4.5619835
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
제작취급품목내용 17
 
14.0%

Length

2024-04-18T03:46:04.549280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:04.628798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
제작취급품목내용 17
 
14.0%

chaircnt
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
좌석수
17 

Length

Max length4
Median length4
Mean length3.8595041
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
좌석수 17
 
14.0%

Length

2024-04-18T03:46:04.709811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:04.784818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
좌석수 17
 
14.0%

nearenvnm
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
101 
주변환경명
15 
학교정화(상대)
 
5

Length

Max length8
Median length4
Mean length4.2892562
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 101
83.5%
주변환경명 15
 
12.4%
학교정화(상대) 5
 
4.1%

Length

2024-04-18T03:46:04.878603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:04.972979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 101
83.5%
주변환경명 15
 
12.4%
학교정화(상대 5
 
4.1%

jgongymd
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
준공일자
17 

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 row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
준공일자 17
 
14.0%

Length

2024-04-18T03:46:05.059545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:05.133218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
준공일자 17
 
14.0%

jisgnumlay
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
103 
지상층수
16 
2
 
1
4
 
1

Length

Max length4
Median length4
Mean length3.9504132
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 103
85.1%
지상층수 16
 
13.2%
2 1
 
0.8%
4 1
 
0.8%

Length

2024-04-18T03:46:05.212680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:05.303509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 103
85.1%
지상층수 16
 
13.2%
2 1
 
0.8%
4 1
 
0.8%

regnsenm
Categorical

IMBALANCE 

Distinct8
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
95 
지역구분명
13 
일반주거지역
 
7
준주거지역
 
2
상업지역
 
1
Other values (3)
 
3

Length

Max length6
Median length4
Mean length4.2644628
Min length4

Unique

Unique4 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 95
78.5%
지역구분명 13
 
10.7%
일반주거지역 7
 
5.8%
준주거지역 2
 
1.7%
상업지역 1
 
0.8%
일반상업지역 1
 
0.8%
준공업지역 1
 
0.8%
주거지역 1
 
0.8%

Length

2024-04-18T03:46:05.394370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:05.491718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
78.5%
지역구분명 13
 
10.7%
일반주거지역 7
 
5.8%
준주거지역 2
 
1.7%
상업지역 1
 
0.8%
일반상업지역 1
 
0.8%
준공업지역 1
 
0.8%
주거지역 1
 
0.8%

asgncancel
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
지정취소
17 

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 row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
지정취소 17
 
14.0%

Length

2024-04-18T03:46:05.614970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:05.710649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
지정취소 17
 
14.0%

asgncancelwhy
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
지정취소사유
17 

Length

Max length6
Median length4
Mean length4.2809917
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
지정취소사유 17
 
14.0%

Length

2024-04-18T03:46:05.796112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:05.881756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
지정취소사유 17
 
14.0%

asgncancelymd
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
지정취소일자
17 

Length

Max length6
Median length4
Mean length4.2809917
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
지정취소일자 17
 
14.0%

Length

2024-04-18T03:46:05.970090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:06.048060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
지정취소일자 17
 
14.0%

undernumlay
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
103 
지하층수
16 
0
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.9504132
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 103
85.1%
지하층수 16
 
13.2%
0 1
 
0.8%
1 1
 
0.8%

Length

2024-04-18T03:46:06.129694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:06.208718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 103
85.1%
지하층수 16
 
13.2%
0 1
 
0.8%
1 1
 
0.8%

estbhdate
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
창립연대
17 

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 row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
창립연대 17
 
14.0%

Length

2024-04-18T03:46:06.299421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:06.374541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
창립연대 17
 
14.0%

totnumlay
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
103 
총층수
16 
2
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.8181818
Min length1

Unique

Unique2 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 103
85.1%
총층수 16
 
13.2%
2 1
 
0.8%
5 1
 
0.8%

Length

2024-04-18T03:46:06.453384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:06.533783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 103
85.1%
총층수 16
 
13.2%
2 1
 
0.8%
5 1
 
0.8%

closewhy
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
폐관사유
17 

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 row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
폐관사유 17
 
14.0%

Length

2024-04-18T03:46:06.617040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:06.692140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
폐관사유 17
 
14.0%

closeymd
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
폐관일자
17 

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 row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
폐관일자 17
 
14.0%

Length

2024-04-18T03:46:07.000053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:07.073942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
폐관일자 17
 
14.0%

permcn
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
허가조건
17 

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 row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
허가조건 17
 
14.0%

Length

2024-04-18T03:46:07.159618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:07.254078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
허가조건 17
 
14.0%

meetsamtimesygstf
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
104 
회의실별동시수용인원
17 

Length

Max length10
Median length4
Mean length4.8429752
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
86.0%
회의실별동시수용인원 17
 
14.0%

Length

2024-04-18T03:46:07.351337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:07.425740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
86.0%
회의실별동시수용인원 17
 
14.0%

last_load_dttm
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2021-03-01 05:27:03
121 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2021-03-01 05:27:03 121
100.0%

Length

2024-04-18T03:46:07.523435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:46:07.605957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-03-01 121
50.0%
05:27:03 121
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>2021-03-01 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>2021-03-01 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>2021-03-01 05:27:03
3873360000CDFI527200201800000803_07_08_PU2019-07-18 02:40:00.0유원시설업(기타)제이제이파티<NA>부산광역시 강서구 명지동 3420-6번지46726부산광역시 강서구 명지국제8로 266, 5층 501,502,503호 (명지동)20181102<NA><NA><NA><NA>영업/정상영업중375164.613534179293.4238220190716171413<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>495495<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-03-01 05:27:03
4883360000CDFI527200201800000803_07_08_PU2019-07-18 02:40:00.0유원시설업(기타)제이제이파티<NA>부산광역시 강서구 명지동 3420-6번지46726부산광역시 강서구 명지국제8로 266, 5층 501,502,503호 (명지동)20181102<NA><NA><NA><NA>영업/정상영업중375164.613534179293.4238220190716171413<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>495495<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-03-01 05:27:03
5893360000CDFI527200201800000803_07_08_PU2019-07-18 02:40:00.0유원시설업(기타)제이제이파티<NA>부산광역시 강서구 명지동 3420-6번지46726부산광역시 강서구 명지국제8로 266, 5층 501,502,503호 (명지동)20181102<NA><NA><NA><NA>영업/정상영업중375164.613534179293.4238220190716171413<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>495495<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-03-01 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>2021-03-01 05:27:03
71343400000CDFI527200201800000503_07_08_PI2018-11-28 02:20:01.0유원시설업(기타)키다리방방<NA>부산광역시 기장군 정관읍 용수리 1328-7번지46015부산광역시 기장군 정관읍 정관4로 42, 6층20181126<NA><NA><NA><NA>영업/정상영업중397365.068884205142.16694620181126154404<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>2021-03-01 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>2021-03-01 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>2021-03-01 05:27:03
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelopenymdstroomcntbdngsrvnmcnstyareasvnsrplninsurstdtplninsurenddtplayutscntdtlplayfacilcntstagearculwrkrsenmculphyedcobnmmuseumkindnmmuseumsortnmgeicpfacilenbcfacilenbupnmbupesbmntobjbupdisorgymdinsurorgnminsurstdtinsurenddtafcshpinfoshpcntshptottonsmngmbdnmndloanmonknumfacilscpfacilarbelvnuminfobenengstntrnmnmengstntrnmaddroriginhistdispenencapttdtpnmmnfactreartclcnchaircntnearenvnmjgongymdjisgnumlayregnsenmasgncancelasgncancelwhyasgncancelymdundernumlayestbhdatetotnumlayclosewhycloseymdpermcnmeetsamtimesygstflast_load_dttm
11118013400000CDFI527200202000000303_07_08_PU2020-10-15 02:40:00.0유원시설업(기타)신세계첼시 플레이타임<NA>부산광역시 기장군 장안읍 좌천리 545 부산프리미엄아울렛46029부산광역시 기장군 장안읍 정관로 1133, 부산프리미엄아울렛 411호20200814<NA><NA><NA><NA>영업/정상영업중403214.461975204878.04554420201013140454<NA>051-940-1696<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>2021-03-01 05:27:03
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>2021-03-01 05:27:03
11318453290000CDFI527200202000000103_07_08_PU2020-12-20 02:40:00.0유원시설업(기타)주식회사 짱<NA>부산광역시 부산진구 부전동 227-2 삼정타워47296부산광역시 부산진구 중앙대로 672, 삼정타워 9층 904호 (부전동)20201016<NA><NA><NA><NA>영업/정상영업중387608.014165185703.07900820201218164602<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>154154.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-03-01 05:27:03
11418463290000CDFI527200202000000103_07_08_PU2020-12-20 02:40:00.0유원시설업(기타)주식회사 짱<NA>부산광역시 부산진구 부전동 227-2 삼정타워47296부산광역시 부산진구 중앙대로 672, 삼정타워 9층 904호 (부전동)20201016<NA><NA><NA><NA>영업/정상영업중387608.014165185703.07900820201218164602<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>154154.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2021-03-01 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>2021-03-01 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>2021-03-01 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>2021-03-01 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>2021-03-01 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_운영주체구분명소요자금승려수시설규모시설면적신도수안영문상호명영문상호주소유래연혁의자본금전통사찰명제작취급품목내용좌석수주변환경명준공일자지상층수주거지역지정취소지정취소사유지정취소일자지하층수창립연대총층수폐관사유폐관일자허가조건회의실별동시수용인원2021-03-01 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>2021-03-01 05:27:03