Overview

Dataset statistics

Number of variables60
Number of observations111
Missing cells91
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.9 KiB
Average record size in memory488.2 B

Variable types

Numeric7
Categorical46
DateTime2
Text5

Alerts

opnsvcid has constant value ""Constant
culwrkrsenm has constant value ""Constant
culphyedcobnm has constant value ""Constant
last_load_dttm has constant value ""Constant
dtlstatenm is highly imbalanced (50.3%)Imbalance
sitetel is highly imbalanced (75.9%)Imbalance
facilscp is highly imbalanced (50.4%)Imbalance
facilar is highly imbalanced (50.4%)Imbalance
sitepostno has 19 (17.1%) missing valuesMissing
rdnpostno has 2 (1.8%) missing valuesMissing
dcbymd has 67 (60.4%) missing valuesMissing
skey has unique valuesUnique
lastmodts has unique valuesUnique

Reproduction

Analysis started2024-04-16 04:26:29.014645
Analysis finished2024-04-16 04:26:30.250678
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72
Minimum1
Maximum354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-16T13:26:30.324695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.5
Q128.5
median56
Q383.5
95-th percentile312.5
Maximum354
Range353
Interquartile range (IQR)55

Descriptive statistics

Standard deviation76.343959
Coefficient of variation (CV)1.0603328
Kurtosis6.5481793
Mean72
Median Absolute Deviation (MAD)28
Skewness2.5662608
Sum7992
Variance5828.4
MonotonicityNot monotonic
2024-04-16T13:26:30.480981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
2 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
354 1
0.9%
349 1
0.9%
344 1
0.9%
341 1
0.9%
316 1
0.9%
315 1
0.9%
310 1
0.9%
220 1
0.9%
151 1
0.9%
141 1
0.9%

opnsfteamcode
Real number (ℝ)

Distinct14
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3318378.4
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-16T13:26:30.624147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3310000
Q33345000
95-th percentile3380000
Maximum3400000
Range150000
Interquartile range (IQR)55000

Descriptive statistics

Standard deviation38127.55
Coefficient of variation (CV)0.011489814
Kurtosis-0.47156411
Mean3318378.4
Median Absolute Deviation (MAD)20000
Skewness0.15707312
Sum3.6834 × 108
Variance1.4537101 × 109
MonotonicityNot monotonic
2024-04-16T13:26:30.760139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3310000 24
21.6%
3330000 17
15.3%
3350000 11
9.9%
3380000 11
9.9%
3290000 10
9.0%
3250000 9
 
8.1%
3270000 7
 
6.3%
3300000 7
 
6.3%
3320000 4
 
3.6%
3280000 3
 
2.7%
Other values (4) 8
 
7.2%
ValueCountFrequency (%)
3250000 9
 
8.1%
3270000 7
 
6.3%
3280000 3
 
2.7%
3290000 10
9.0%
3300000 7
 
6.3%
3310000 24
21.6%
3320000 4
 
3.6%
3330000 17
15.3%
3340000 2
 
1.8%
3350000 11
9.9%
ValueCountFrequency (%)
3400000 2
 
1.8%
3390000 2
 
1.8%
3380000 11
9.9%
3370000 2
 
1.8%
3350000 11
9.9%
3340000 2
 
1.8%
3330000 17
15.3%
3320000 4
 
3.6%
3310000 24
21.6%
3300000 7
 
6.3%

mgtno
Categorical

Distinct48
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size1020.0 B
CDFE1230002003000001
 
7
CDFE1230002009000001
 
7
CDFE1230002014000001
 
7
CDFE1230002013000001
 
6
CDFE1230002011000001
 
6
Other values (43)
78 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique26 ?
Unique (%)23.4%

Sample

1st rowCDFE1230002003000001
2nd rowCDFE1230002004000001
3rd rowCDFE1230002015000002
4th rowCDFE1230002015000001
5th rowCDFE1230002014000001

Common Values

ValueCountFrequency (%)
CDFE1230002003000001 7
 
6.3%
CDFE1230002009000001 7
 
6.3%
CDFE1230002014000001 7
 
6.3%
CDFE1230002013000001 6
 
5.4%
CDFE1230002011000001 6
 
5.4%
CDFE1230002012000001 5
 
4.5%
CDFE1230002020000001 5
 
4.5%
CDFE1230002015000001 5
 
4.5%
CDFE1230002018000001 4
 
3.6%
CDFE1230002009000002 4
 
3.6%
Other values (38) 55
49.5%

Length

2024-04-16T13:26:30.904995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cdfe1230002003000001 7
 
6.3%
cdfe1230002009000001 7
 
6.3%
cdfe1230002014000001 7
 
6.3%
cdfe1230002013000001 6
 
5.4%
cdfe1230002011000001 6
 
5.4%
cdfe1230002012000001 5
 
4.5%
cdfe1230002020000001 5
 
4.5%
cdfe1230002015000001 5
 
4.5%
cdfe1230002009000002 4
 
3.6%
cdfe1230002018000001 4
 
3.6%
Other values (38) 55
49.5%

opnsvcid
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
03_06_01_P
111 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_06_01_P
2nd row03_06_01_P
3rd row03_06_01_P
4th row03_06_01_P
5th row03_06_01_P

Common Values

ValueCountFrequency (%)
03_06_01_P 111
100.0%

Length

2024-04-16T13:26:31.029538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:31.143775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_06_01_p 111
100.0%

updategbn
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
I
65 
U
46 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 65
58.6%
U 46
41.4%

Length

2024-04-16T13:26:31.261730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:31.369568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 65
58.6%
u 46
41.4%
Distinct44
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Memory size1020.0 B
Minimum2018-08-31 23:59:59
Maximum2021-02-18 02:40:00
2024-04-16T13:26:31.495932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:26:31.654093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

opnsvcnm
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
58 
공연장
53 

Length

Max length4
Median length4
Mean length3.5225225
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> 58
52.3%
공연장 53
47.7%

Length

2024-04-16T13:26:31.820462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:31.926334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
52.3%
공연장 53
47.7%

bplcnm
Text

Distinct105
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-04-16T13:26:32.221683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length8.3963964
Min length3

Characters and Unicode

Total characters932
Distinct characters224
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)89.2%

Sample

1st row가톨릭센타
2nd row민주공원 중극장
3rd row키다리소극장
4th row키다리소극장
5th rowBNK부산은행조은극장 2관
ValueCountFrequency (%)
소극장 14
 
7.7%
아트홀 5
 
2.8%
2관 4
 
2.2%
대극장 3
 
1.7%
부산 3
 
1.7%
극장 3
 
1.7%
bnk부산은행조은극장 3
 
1.7%
동래문화회관 3
 
1.7%
1관 3
 
1.7%
금정문화회관 2
 
1.1%
Other values (123) 138
76.2%
2024-04-16T13:26:32.714651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
7.5%
52
 
5.6%
46
 
4.9%
38
 
4.1%
32
 
3.4%
30
 
3.2%
26
 
2.8%
23
 
2.5%
21
 
2.3%
20
 
2.1%
Other values (214) 574
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 781
83.8%
Space Separator 70
 
7.5%
Uppercase Letter 32
 
3.4%
Decimal Number 16
 
1.7%
Lowercase Letter 16
 
1.7%
Close Punctuation 7
 
0.8%
Open Punctuation 7
 
0.8%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
52
 
6.7%
46
 
5.9%
38
 
4.9%
32
 
4.1%
30
 
3.8%
26
 
3.3%
23
 
2.9%
21
 
2.7%
20
 
2.6%
20
 
2.6%
Other values (178) 473
60.6%
Uppercase Letter
ValueCountFrequency (%)
K 7
21.9%
N 6
18.8%
B 5
15.6%
T 2
 
6.2%
C 2
 
6.2%
G 2
 
6.2%
I 1
 
3.1%
R 1
 
3.1%
M 1
 
3.1%
X 1
 
3.1%
Other values (4) 4
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
18.8%
s 2
12.5%
u 2
12.5%
h 2
12.5%
p 1
 
6.2%
a 1
 
6.2%
m 1
 
6.2%
o 1
 
6.2%
r 1
 
6.2%
i 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 6
37.5%
1 4
25.0%
4 2
 
12.5%
6 2
 
12.5%
3 1
 
6.2%
0 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
' 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 781
83.8%
Common 103
 
11.1%
Latin 48
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
52
 
6.7%
46
 
5.9%
38
 
4.9%
32
 
4.1%
30
 
3.8%
26
 
3.3%
23
 
2.9%
21
 
2.7%
20
 
2.6%
20
 
2.6%
Other values (178) 473
60.6%
Latin
ValueCountFrequency (%)
K 7
14.6%
N 6
 
12.5%
B 5
 
10.4%
e 3
 
6.2%
T 2
 
4.2%
C 2
 
4.2%
s 2
 
4.2%
u 2
 
4.2%
h 2
 
4.2%
G 2
 
4.2%
Other values (15) 15
31.2%
Common
ValueCountFrequency (%)
70
68.0%
) 7
 
6.8%
( 7
 
6.8%
2 6
 
5.8%
1 4
 
3.9%
' 2
 
1.9%
4 2
 
1.9%
6 2
 
1.9%
& 1
 
1.0%
3 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 781
83.8%
ASCII 151
 
16.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
46.4%
K 7
 
4.6%
) 7
 
4.6%
( 7
 
4.6%
N 6
 
4.0%
2 6
 
4.0%
B 5
 
3.3%
1 4
 
2.6%
e 3
 
2.0%
T 2
 
1.3%
Other values (26) 34
22.5%
Hangul
ValueCountFrequency (%)
52
 
6.7%
46
 
5.9%
38
 
4.9%
32
 
4.1%
30
 
3.8%
26
 
3.3%
23
 
2.9%
21
 
2.7%
20
 
2.6%
20
 
2.6%
Other values (178) 473
60.6%

sitepostno
Text

MISSING 

Distinct51
Distinct (%)55.4%
Missing19
Missing (%)17.1%
Memory size1020.0 B
2024-04-16T13:26:32.998822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters552
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)31.5%

Sample

1st row600801
2nd row600110
3rd row600045
4th row600045
5th row600042
ValueCountFrequency (%)
지번우편번호 13
 
14.1%
612836 4
 
4.3%
608805 3
 
3.3%
601807 3
 
3.3%
608811 3
 
3.3%
607803 3
 
3.3%
608806 3
 
3.3%
612020 3
 
3.3%
600110 2
 
2.2%
616800 2
 
2.2%
Other values (41) 53
57.6%
2024-04-16T13:26:33.383495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 103
18.7%
6 99
17.9%
8 77
13.9%
1 74
13.4%
2 34
 
6.2%
26
 
4.7%
7 26
 
4.7%
4 24
 
4.3%
3 20
 
3.6%
13
 
2.4%
Other values (5) 56
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 474
85.9%
Other Letter 78
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 103
21.7%
6 99
20.9%
8 77
16.2%
1 74
15.6%
2 34
 
7.2%
7 26
 
5.5%
4 24
 
5.1%
3 20
 
4.2%
9 9
 
1.9%
5 8
 
1.7%
Other Letter
ValueCountFrequency (%)
26
33.3%
13
16.7%
13
16.7%
13
16.7%
13
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 474
85.9%
Hangul 78
 
14.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 103
21.7%
6 99
20.9%
8 77
16.2%
1 74
15.6%
2 34
 
7.2%
7 26
 
5.5%
4 24
 
5.1%
3 20
 
4.2%
9 9
 
1.9%
5 8
 
1.7%
Hangul
ValueCountFrequency (%)
26
33.3%
13
16.7%
13
16.7%
13
16.7%
13
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 474
85.9%
Hangul 78
 
14.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 103
21.7%
6 99
20.9%
8 77
16.2%
1 74
15.6%
2 34
 
7.2%
7 26
 
5.5%
4 24
 
5.1%
3 20
 
4.2%
9 9
 
1.9%
5 8
 
1.7%
Hangul
ValueCountFrequency (%)
26
33.3%
13
16.7%
13
16.7%
13
16.7%
13
16.7%
Distinct92
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-04-16T13:26:33.729283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31
Mean length24.936937
Min length14

Characters and Unicode

Total characters2768
Distinct characters144
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)69.4%

Sample

1st row부산광역시 중구 대청동4가 81-1번지
2nd row부산광역시 중구 영주동 산 10-7번지
3rd row부산광역시 중구 남포동5가 1-1번지
4th row부산광역시 중구 남포동5가 1-1번지
5th row부산광역시 중구 남포동2가 25-10번지
ValueCountFrequency (%)
부산광역시 112
 
21.5%
남구 24
 
4.6%
대연동 23
 
4.4%
해운대구 17
 
3.3%
수영구 11
 
2.1%
금정구 11
 
2.1%
부산진구 10
 
1.9%
우동 10
 
1.9%
중구 9
 
1.7%
범일동 7
 
1.3%
Other values (185) 287
55.1%
2024-04-16T13:26:34.233881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
515
18.6%
141
 
5.1%
139
 
5.0%
130
 
4.7%
1 121
 
4.4%
118
 
4.3%
116
 
4.2%
114
 
4.1%
114
 
4.1%
104
 
3.8%
Other values (134) 1156
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1655
59.8%
Space Separator 515
 
18.6%
Decimal Number 492
 
17.8%
Dash Punctuation 90
 
3.3%
Uppercase Letter 9
 
0.3%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
141
 
8.5%
139
 
8.4%
130
 
7.9%
118
 
7.1%
116
 
7.0%
114
 
6.9%
114
 
6.9%
104
 
6.3%
91
 
5.5%
49
 
3.0%
Other values (111) 539
32.6%
Decimal Number
ValueCountFrequency (%)
1 121
24.6%
2 61
12.4%
3 48
 
9.8%
4 48
 
9.8%
5 46
 
9.3%
6 41
 
8.3%
8 39
 
7.9%
7 38
 
7.7%
0 26
 
5.3%
9 24
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
G 2
22.2%
F 1
11.1%
L 1
11.1%
I 1
11.1%
C 1
11.1%
B 1
11.1%
K 1
11.1%
T 1
11.1%
Space Separator
ValueCountFrequency (%)
515
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1655
59.8%
Common 1104
39.9%
Latin 9
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
141
 
8.5%
139
 
8.4%
130
 
7.9%
118
 
7.1%
116
 
7.0%
114
 
6.9%
114
 
6.9%
104
 
6.3%
91
 
5.5%
49
 
3.0%
Other values (111) 539
32.6%
Common
ValueCountFrequency (%)
515
46.6%
1 121
 
11.0%
- 90
 
8.2%
2 61
 
5.5%
3 48
 
4.3%
4 48
 
4.3%
5 46
 
4.2%
6 41
 
3.7%
8 39
 
3.5%
7 38
 
3.4%
Other values (5) 57
 
5.2%
Latin
ValueCountFrequency (%)
G 2
22.2%
F 1
11.1%
L 1
11.1%
I 1
11.1%
C 1
11.1%
B 1
11.1%
K 1
11.1%
T 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1655
59.8%
ASCII 1113
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
515
46.3%
1 121
 
10.9%
- 90
 
8.1%
2 61
 
5.5%
3 48
 
4.3%
4 48
 
4.3%
5 46
 
4.1%
6 41
 
3.7%
8 39
 
3.5%
7 38
 
3.4%
Other values (13) 66
 
5.9%
Hangul
ValueCountFrequency (%)
141
 
8.5%
139
 
8.4%
130
 
7.9%
118
 
7.1%
116
 
7.0%
114
 
6.9%
114
 
6.9%
104
 
6.3%
91
 
5.5%
49
 
3.0%
Other values (111) 539
32.6%

rdnpostno
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)30.3%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean64073.761
Minimum46028
Maximum614827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-16T13:26:34.401070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46028
5-th percentile46315.2
Q148742
median48947
Q348947
95-th percentile48947
Maximum614827
Range568799
Interquartile range (IQR)205

Descriptive statistics

Standard deviation92295.101
Coefficient of variation (CV)1.4404508
Kurtosis32.90746
Mean64073.761
Median Absolute Deviation (MAD)0
Skewness5.8566358
Sum6984040
Variance8.5183857 × 109
MonotonicityNot monotonic
2024-04-16T13:26:34.542194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
48947 74
66.7%
607803 2
 
1.8%
48512 2
 
1.8%
48742 2
 
1.8%
614827 1
 
0.9%
48222 1
 
0.9%
48303 1
 
0.9%
46306 1
 
0.9%
47288 1
 
0.9%
48265 1
 
0.9%
Other values (23) 23
 
20.7%
(Missing) 2
 
1.8%
ValueCountFrequency (%)
46028 1
0.9%
46043 1
0.9%
46241 1
0.9%
46284 1
0.9%
46287 1
0.9%
46306 1
0.9%
46329 1
0.9%
47288 1
0.9%
47296 1
0.9%
47700 1
0.9%
ValueCountFrequency (%)
614827 1
 
0.9%
607803 2
 
1.8%
49111 1
 
0.9%
48947 74
66.7%
48930 1
 
0.9%
48743 1
 
0.9%
48742 2
 
1.8%
48534 1
 
0.9%
48512 2
 
1.8%
48499 1
 
0.9%
Distinct92
Distinct (%)83.6%
Missing1
Missing (%)0.9%
Memory size1020.0 B
2024-04-16T13:26:34.895441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length30.7
Min length20

Characters and Unicode

Total characters3377
Distinct characters191
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

Unique78 ?
Unique (%)70.9%

Sample

1st row부산광역시 중구 중구로 71 (대청동4가)
2nd row부산광역시 중구 민주공원길 19 (영주동)
3rd row부산광역시 중구 구덕로48번길 3, 4층 (남포동5가)
4th row부산광역시 중구 구덕로48번길 3, 4층 (남포동5가)
5th row부산광역시 중구 구덕로34번길 4, 3층 (남포동2가, 쏠레마빌딩)
ValueCountFrequency (%)
부산광역시 110
 
16.8%
남구 24
 
3.7%
대연동 21
 
3.2%
지하1층 18
 
2.8%
해운대구 17
 
2.6%
수영구 11
 
1.7%
수영로 11
 
1.7%
우동 10
 
1.5%
금정구 10
 
1.5%
부산진구 10
 
1.5%
Other values (250) 411
62.9%
2024-04-16T13:26:35.431920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
548
 
16.2%
140
 
4.1%
139
 
4.1%
134
 
4.0%
121
 
3.6%
117
 
3.5%
114
 
3.4%
( 111
 
3.3%
) 111
 
3.3%
111
 
3.3%
Other values (181) 1731
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2054
60.8%
Space Separator 548
 
16.2%
Decimal Number 447
 
13.2%
Open Punctuation 111
 
3.3%
Close Punctuation 111
 
3.3%
Other Punctuation 83
 
2.5%
Uppercase Letter 12
 
0.4%
Dash Punctuation 7
 
0.2%
Lowercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
140
 
6.8%
139
 
6.8%
134
 
6.5%
121
 
5.9%
117
 
5.7%
114
 
5.6%
111
 
5.4%
106
 
5.2%
73
 
3.6%
52
 
2.5%
Other values (152) 947
46.1%
Decimal Number
ValueCountFrequency (%)
1 108
24.2%
3 69
15.4%
2 56
12.5%
7 41
 
9.2%
4 37
 
8.3%
9 35
 
7.8%
6 34
 
7.6%
0 28
 
6.3%
8 20
 
4.5%
5 19
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
16.7%
K 2
16.7%
B 2
16.7%
T 1
8.3%
A 1
8.3%
P 1
8.3%
E 1
8.3%
F 1
8.3%
G 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
33.3%
i 1
33.3%
f 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 82
98.8%
& 1
 
1.2%
Space Separator
ValueCountFrequency (%)
548
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2054
60.8%
Common 1308
38.7%
Latin 15
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
140
 
6.8%
139
 
6.8%
134
 
6.5%
121
 
5.9%
117
 
5.7%
114
 
5.6%
111
 
5.4%
106
 
5.2%
73
 
3.6%
52
 
2.5%
Other values (152) 947
46.1%
Common
ValueCountFrequency (%)
548
41.9%
( 111
 
8.5%
) 111
 
8.5%
1 108
 
8.3%
, 82
 
6.3%
3 69
 
5.3%
2 56
 
4.3%
7 41
 
3.1%
4 37
 
2.8%
9 35
 
2.7%
Other values (7) 110
 
8.4%
Latin
ValueCountFrequency (%)
C 2
13.3%
K 2
13.3%
B 2
13.3%
c 1
6.7%
i 1
6.7%
f 1
6.7%
T 1
6.7%
A 1
6.7%
P 1
6.7%
E 1
6.7%
Other values (2) 2
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2054
60.8%
ASCII 1323
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
548
41.4%
( 111
 
8.4%
) 111
 
8.4%
1 108
 
8.2%
, 82
 
6.2%
3 69
 
5.2%
2 56
 
4.2%
7 41
 
3.1%
4 37
 
2.8%
9 35
 
2.6%
Other values (19) 125
 
9.4%
Hangul
ValueCountFrequency (%)
140
 
6.8%
139
 
6.8%
134
 
6.5%
121
 
5.9%
117
 
5.7%
114
 
5.6%
111
 
5.4%
106
 
5.2%
73
 
3.6%
52
 
2.5%
Other values (152) 947
46.1%

apvpermymd
Real number (ℝ)

Distinct94
Distinct (%)84.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20111812
Minimum19970308
Maximum20210209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-16T13:26:35.624789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970308
5-th percentile20030103
Q120081166
median20120319
Q320150617
95-th percentile20200828
Maximum20210209
Range239901
Interquartile range (IQR)69451

Descriptive statistics

Standard deviation55654.427
Coefficient of variation (CV)0.0027672508
Kurtosis-0.61453706
Mean20111812
Median Absolute Deviation (MAD)30602
Skewness-0.32078663
Sum2.2324111 × 109
Variance3.0974153 × 109
MonotonicityNot monotonic
2024-04-16T13:26:35.791241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20030107 4
 
3.6%
20030103 3
 
2.7%
20091014 2
 
1.8%
20040625 2
 
1.8%
20131108 2
 
1.8%
19991218 2
 
1.8%
20090310 2
 
1.8%
20091218 2
 
1.8%
20070220 2
 
1.8%
20140718 2
 
1.8%
Other values (84) 88
79.3%
ValueCountFrequency (%)
19970308 1
 
0.9%
19991218 2
1.8%
20021230 1
 
0.9%
20030103 3
2.7%
20030104 1
 
0.9%
20030107 4
3.6%
20030120 2
1.8%
20030127 1
 
0.9%
20030807 1
 
0.9%
20030828 1
 
0.9%
ValueCountFrequency (%)
20210209 1
0.9%
20210203 1
0.9%
20201224 1
0.9%
20201217 1
0.9%
20200831 2
1.8%
20200825 1
0.9%
20191224 1
0.9%
20190523 1
0.9%
20190321 1
0.9%
20180710 1
0.9%

dcbymd
Text

MISSING 

Distinct29
Distinct (%)65.9%
Missing67
Missing (%)60.4%
Memory size1020.0 B
2024-04-16T13:26:35.991050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length6.7272727
Min length4

Characters and Unicode

Total characters296
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)59.1%

Sample

1st row20170508
2nd row20141223
3rd row폐업일자
4th row20150402
5th row20160304
ValueCountFrequency (%)
폐업일자 14
31.8%
20160420 2
 
4.5%
20160304 2
 
4.5%
20191025 1
 
2.3%
20190129 1
 
2.3%
20190802 1
 
2.3%
20170216 1
 
2.3%
20200826 1
 
2.3%
20170707 1
 
2.3%
20090311 1
 
2.3%
Other values (19) 19
43.2%
2024-04-16T13:26:36.358144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 73
24.7%
2 52
17.6%
1 49
16.6%
14
 
4.7%
14
 
4.7%
14
 
4.7%
14
 
4.7%
3 14
 
4.7%
9 12
 
4.1%
6 10
 
3.4%
Other values (4) 30
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
81.1%
Other Letter 56
 
18.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 73
30.4%
2 52
21.7%
1 49
20.4%
3 14
 
5.8%
9 12
 
5.0%
6 10
 
4.2%
4 10
 
4.2%
8 8
 
3.3%
7 7
 
2.9%
5 5
 
2.1%
Other Letter
ValueCountFrequency (%)
14
25.0%
14
25.0%
14
25.0%
14
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 240
81.1%
Hangul 56
 
18.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 73
30.4%
2 52
21.7%
1 49
20.4%
3 14
 
5.8%
9 12
 
5.0%
6 10
 
4.2%
4 10
 
4.2%
8 8
 
3.3%
7 7
 
2.9%
5 5
 
2.1%
Hangul
ValueCountFrequency (%)
14
25.0%
14
25.0%
14
25.0%
14
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240
81.1%
Hangul 56
 
18.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 73
30.4%
2 52
21.7%
1 49
20.4%
3 14
 
5.8%
9 12
 
5.0%
6 10
 
4.2%
4 10
 
4.2%
8 8
 
3.3%
7 7
 
2.9%
5 5
 
2.1%
Hangul
ValueCountFrequency (%)
14
25.0%
14
25.0%
14
25.0%
14
25.0%

clgstdt
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
휴업시작일자
20 

Length

Max length6
Median length4
Mean length4.3603604
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> 91
82.0%
휴업시작일자 20
 
18.0%

Length

2024-04-16T13:26:36.531824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:36.651916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
휴업시작일자 20
 
18.0%

clgenddt
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
휴업종료일자
20 

Length

Max length6
Median length4
Mean length4.3603604
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> 91
82.0%
휴업종료일자 20
 
18.0%

Length

2024-04-16T13:26:36.785354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:36.907143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
휴업종료일자 20
 
18.0%

ropnymd
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
재개업일자
20 

Length

Max length5
Median length4
Mean length4.1801802
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> 91
82.0%
재개업일자 20
 
18.0%

Length

2024-04-16T13:26:37.036579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:37.151666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
재개업일자 20
 
18.0%

trdstatenm
Categorical

Distinct6
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size1020.0 B
영업/정상
44 
13
37 
03
19 
폐업
35
 
2

Length

Max length8
Median length2
Mean length3.2432432
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
영업/정상 44
39.6%
13 37
33.3%
03 19
17.1%
폐업 8
 
7.2%
35 2
 
1.8%
제외/삭제/전출 1
 
0.9%

Length

2024-04-16T13:26:37.281290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:37.411384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 44
39.6%
13 37
33.3%
03 19
17.1%
폐업 8
 
7.2%
35 2
 
1.8%
제외/삭제/전출 1
 
0.9%

dtlstatenm
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1020.0 B
영업중
81 
폐업
27 
직권말소
 
2
전출
 
1

Length

Max length4
Median length3
Mean length2.7657658
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 81
73.0%
폐업 27
 
24.3%
직권말소 2
 
1.8%
전출 1
 
0.9%

Length

2024-04-16T13:26:37.563693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:37.694271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 81
73.0%
폐업 27
 
24.3%
직권말소 2
 
1.8%
전출 1
 
0.9%

x
Real number (ℝ)

Distinct90
Distinct (%)81.8%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean390282.15
Minimum377366.12
Maximum403426.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-16T13:26:37.809334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum377366.12
5-th percentile382402.75
Q1387984.41
median390658.24
Q3392270.73
95-th percentile397988.01
Maximum403426.48
Range26060.366
Interquartile range (IQR)4286.321

Descriptive statistics

Standard deviation4486.3552
Coefficient of variation (CV)0.011495158
Kurtosis1.164289
Mean390282.15
Median Absolute Deviation (MAD)2476.1798
Skewness0.015217912
Sum42931037
Variance20127383
MonotonicityNot monotonic
2024-04-16T13:26:38.373324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
390782.920049317 4
 
3.6%
387982.190387 2
 
1.8%
388368.918455131 2
 
1.8%
390763.791622 2
 
1.8%
390249.59997112 2
 
1.8%
382298.930496 2
 
1.8%
397988.014887742 2
 
1.8%
387082.032560037 2
 
1.8%
384900.782558 2
 
1.8%
391456.503015 2
 
1.8%
Other values (80) 88
79.3%
ValueCountFrequency (%)
377366.116075 2
1.8%
381793.671776 1
0.9%
382234.986962 1
0.9%
382298.930496 2
1.8%
382529.63283 1
0.9%
382573.831189714 1
0.9%
384900.782558 2
1.8%
384984.974974 1
0.9%
385150.106759 2
1.8%
385314.95814 2
1.8%
ValueCountFrequency (%)
403426.481984787 1
0.9%
403297.832205788 1
0.9%
398077.592060565 1
0.9%
398059.357653 2
1.8%
397988.014887742 2
1.8%
397764.36636716 1
0.9%
397035.439714 1
0.9%
396915.143441 1
0.9%
396374.271048 2
1.8%
396251.94396 1
0.9%

y
Real number (ℝ)

Distinct90
Distinct (%)81.8%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean186852.09
Minimum177053.82
Maximum209040.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-16T13:26:38.545264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177053.82
5-th percentile179911.37
Q1184078.8
median185929.7
Q3188249.98
95-th percentile195678.8
Maximum209040.03
Range31986.206
Interquartile range (IQR)4171.1773

Descriptive statistics

Standard deviation5196.6836
Coefficient of variation (CV)0.027811749
Kurtosis2.8245547
Mean186852.09
Median Absolute Deviation (MAD)2009.2832
Skewness1.2162955
Sum20553730
Variance27005520
MonotonicityNot monotonic
2024-04-16T13:26:38.714798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
182920.171242687 4
 
3.6%
186465.864259 2
 
1.8%
177053.822821527 2
 
1.8%
183269.407034 2
 
1.8%
192305.314316545 2
 
1.8%
191036.161979 2
 
1.8%
187938.979810581 2
 
1.8%
187755.256289444 2
 
1.8%
181145.927022 2
 
1.8%
185031.785446 2
 
1.8%
Other values (80) 88
79.3%
ValueCountFrequency (%)
177053.822821527 2
1.8%
177790.782123 1
 
0.9%
179888.764678 2
1.8%
179896.667518 1
 
0.9%
179929.332241 2
1.8%
180225.685982991 1
 
0.9%
180571.625324 1
 
0.9%
181039.064198 2
1.8%
181145.927022 2
1.8%
182920.171242687 4
3.6%
ValueCountFrequency (%)
209040.029039836 1
0.9%
201718.089572 1
0.9%
201135.192463 1
0.9%
198759.092784606 1
0.9%
196094.684275675 2
1.8%
195170.490536 1
0.9%
195046.158983367 1
0.9%
194669.898821687 1
0.9%
194219.965155 1
0.9%
193762.603922 1
0.9%

lastmodts
Real number (ℝ)

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0171856 × 1013
Minimum2.0060214 × 1013
Maximum2.0210216 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-04-16T13:26:38.880759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060214 × 1013
5-th percentile2.0101069 × 1013
Q12.0160304 × 1013
median2.0180413 × 1013
Q32.0191127 × 1013
95-th percentile2.0205673 × 1013
Maximum2.0210216 × 1013
Range1.50002 × 1011
Interquartile range (IQR)3.0822463 × 1010

Descriptive statistics

Standard deviation3.1681291 × 1010
Coefficient of variation (CV)0.001570569
Kurtosis1.8346953
Mean2.0171856 × 1013
Median Absolute Deviation (MAD)1.990001 × 1010
Skewness-1.3596105
Sum2.239076 × 1015
Variance1.0037042 × 1021
MonotonicityNot monotonic
2024-04-16T13:26:39.054695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20120306134142 1
 
0.9%
20150415173343 1
 
0.9%
20200226104611 1
 
0.9%
20161230144048 1
 
0.9%
20180206192921 1
 
0.9%
20200625153634 1
 
0.9%
20200625153715 1
 
0.9%
20201231144312 1
 
0.9%
20201231144250 1
 
0.9%
20060214111919 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
20060214111919 1
0.9%
20080712111550 1
0.9%
20081212150615 1
0.9%
20081219165853 1
0.9%
20090703154240 1
0.9%
20091019083001 1
0.9%
20111118112025 1
0.9%
20120306134142 1
0.9%
20130219152557 1
0.9%
20130329085224 1
0.9%
ValueCountFrequency (%)
20210216112016 1
0.9%
20210216111935 1
0.9%
20210209145420 1
0.9%
20210203100931 1
0.9%
20210121090919 1
0.9%
20210114112753 1
0.9%
20201231144312 1
0.9%
20201231144250 1
0.9%
20201231134615 1
0.9%
20201229130059 1
0.9%

uptaenm
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
업태구분명
20 

Length

Max length5
Median length4
Mean length4.1801802
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> 91
82.0%
업태구분명 20
 
18.0%

Length

2024-04-16T13:26:39.208682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:39.335860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
업태구분명 20
 
18.0%

sitetel
Categorical

IMBALANCE 

Distinct12
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
051-123-1234
99 
519-4082
 
2
630-5200
 
1
051-630-5200
 
1
051-661-8801
 
1
Other values (7)
 
7

Length

Max length12
Median length12
Mean length11.765766
Min length4

Unique

Unique10 ?
Unique (%)9.0%

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 99
89.2%
519-4082 2
 
1.8%
630-5200 1
 
0.9%
051-630-5200 1
 
0.9%
051-661-8801 1
 
0.9%
051-626-3037 1
 
0.9%
051)554-8411 1
 
0.9%
<NA> 1
 
0.9%
16001716 1
 
0.9%
051-809-5555 1
 
0.9%
Other values (2) 2
 
1.8%

Length

2024-04-16T13:26:39.467469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
051-123-1234 99
89.2%
519-4082 2
 
1.8%
630-5200 1
 
0.9%
051-630-5200 1
 
0.9%
051-661-8801 1
 
0.9%
051-626-3037 1
 
0.9%
051)554-8411 1
 
0.9%
na 1
 
0.9%
16001716 1
 
0.9%
051-809-5555 1
 
0.9%
Other values (2) 2
 
1.8%

stroomcnt
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
객실수
20 

Length

Max length4
Median length4
Mean length3.8198198
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> 91
82.0%
객실수 20
 
18.0%

Length

2024-04-16T13:26:39.621432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:39.759373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
객실수 20
 
18.0%

bdngsrvnm
Categorical

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
53 
문화시설
25 
근린생활시설
17 
건물용도명
15 
호텔
 
1

Length

Max length6
Median length4
Mean length4.4234234
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
47.7%
문화시설 25
22.5%
근린생활시설 17
 
15.3%
건물용도명 15
 
13.5%
호텔 1
 
0.9%

Length

2024-04-16T13:26:39.901847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:40.044799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
47.7%
문화시설 25
22.5%
근린생활시설 17
 
15.3%
건물용도명 15
 
13.5%
호텔 1
 
0.9%

cnstyarea
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
건축연면적
20 

Length

Max length5
Median length4
Mean length4.1801802
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> 91
82.0%
건축연면적 20
 
18.0%

Length

2024-04-16T13:26:40.181984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:40.299608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
건축연면적 20
 
18.0%

svnsr
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
기념품종류
20 

Length

Max length5
Median length4
Mean length4.1801802
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> 91
82.0%
기념품종류 20
 
18.0%

Length

2024-04-16T13:26:40.427669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:40.560675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
기념품종류 20
 
18.0%

plninsurstdt
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
기획여행보험시작일자
20 

Length

Max length10
Median length4
Mean length5.0810811
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> 91
82.0%
기획여행보험시작일자 20
 
18.0%

Length

2024-04-16T13:26:40.687673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:40.806537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
기획여행보험시작일자 20
 
18.0%

plninsurenddt
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
기획여행보험종료일자
20 

Length

Max length10
Median length4
Mean length5.0810811
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> 91
82.0%
기획여행보험종료일자 20
 
18.0%

Length

2024-04-16T13:26:40.941319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:41.055051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
기획여행보험종료일자 20
 
18.0%

playutscntdtl
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
놀이기구수내역
20 

Length

Max length7
Median length4
Mean length4.5405405
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> 91
82.0%
놀이기구수내역 20
 
18.0%

Length

2024-04-16T13:26:41.202419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:41.321599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
놀이기구수내역 20
 
18.0%

playfacilcnt
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
놀이시설수
20 

Length

Max length5
Median length4
Mean length4.1801802
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> 91
82.0%
놀이시설수 20
 
18.0%

Length

2024-04-16T13:26:41.437721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:41.546650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
놀이시설수 20
 
18.0%

stagear
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
무대면적
20 

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> 91
82.0%
무대면적 20
 
18.0%

Length

2024-04-16T13:26:41.666090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:41.782680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
무대면적 20
 
18.0%

culwrkrsenm
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
공연장
111 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 111
100.0%

Length

2024-04-16T13:26:41.920400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:42.028188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 111
100.0%

culphyedcobnm
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
공연장
111 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 111
100.0%

Length

2024-04-16T13:26:42.151158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:42.257969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 111
100.0%

geicpfacilen
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
20 

Length

Max length4
Median length4
Mean length3.4594595
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> 91
82.0%
20
 
18.0%

Length

2024-04-16T13:26:42.379450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:42.501533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
20
 
18.0%

bcfacilen
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
20 

Length

Max length4
Median length4
Mean length3.4594595
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> 91
82.0%
20
 
18.0%

Length

2024-04-16T13:26:42.621385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:42.760895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
20
 
18.0%

insurorgnm
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
보험기관명
20 

Length

Max length5
Median length4
Mean length4.1801802
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> 91
82.0%
보험기관명 20
 
18.0%

Length

2024-04-16T13:26:42.888692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:43.005205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
보험기관명 20
 
18.0%

insurstdt
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
보험시작일자
20 

Length

Max length6
Median length4
Mean length4.3603604
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> 91
82.0%
보험시작일자 20
 
18.0%

Length

2024-04-16T13:26:43.144576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:43.265556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
보험시작일자 20
 
18.0%

insurenddt
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
보험종료일자
20 

Length

Max length6
Median length4
Mean length4.3603604
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> 91
82.0%
보험종료일자 20
 
18.0%

Length

2024-04-16T13:26:43.397478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:43.524653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
보험종료일자 20
 
18.0%

afc
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
부대시설내역
20 

Length

Max length6
Median length4
Mean length4.3603604
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> 91
82.0%
부대시설내역 20
 
18.0%

Length

2024-04-16T13:26:43.669559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:43.801733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
부대시설내역 20
 
18.0%

shpinfo
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
선박제원
20 

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> 91
82.0%
선박제원 20
 
18.0%

Length

2024-04-16T13:26:43.913338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:44.039664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
선박제원 20
 
18.0%

shpcnt
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
선박척수
20 

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> 91
82.0%
선박척수 20
 
18.0%

Length

2024-04-16T13:26:44.158160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:44.276876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
선박척수 20
 
18.0%

shptottons
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
선박총톤수
20 

Length

Max length5
Median length4
Mean length4.1801802
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> 91
82.0%
선박총톤수 20
 
18.0%

Length

2024-04-16T13:26:44.408995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:44.529025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
선박총톤수 20
 
18.0%

facilscp
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
90 
시설규모
19 
0
 
2

Length

Max length4
Median length4
Mean length3.9459459
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> 90
81.1%
시설규모 19
 
17.1%
0 2
 
1.8%

Length

2024-04-16T13:26:44.662323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:44.791597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 90
81.1%
시설규모 19
 
17.1%
0 2
 
1.8%

facilar
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
90 
시설면적
19 
0
 
2

Length

Max length4
Median length4
Mean length3.9459459
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> 90
81.1%
시설면적 19
 
17.1%
0 2
 
1.8%

Length

2024-04-16T13:26:44.921175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:45.037983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 90
81.1%
시설면적 19
 
17.1%
0 2
 
1.8%

infoben
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
20 

Length

Max length4
Median length4
Mean length3.4594595
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> 91
82.0%
20
 
18.0%

Length

2024-04-16T13:26:45.164882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:45.281322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
20
 
18.0%

engstntrnmnm
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
영문상호명
20 

Length

Max length5
Median length4
Mean length4.1801802
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> 91
82.0%
영문상호명 20
 
18.0%

Length

2024-04-16T13:26:45.407413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:45.527599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
영문상호명 20
 
18.0%

engstntrnmaddr
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
영문상호주소
20 

Length

Max length6
Median length4
Mean length4.3603604
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> 91
82.0%
영문상호주소 20
 
18.0%

Length

2024-04-16T13:26:45.666950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:45.788241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
영문상호주소 20
 
18.0%

dispenen
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
20 

Length

Max length4
Median length4
Mean length3.4594595
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> 91
82.0%
20
 
18.0%

Length

2024-04-16T13:26:45.918022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:46.037253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
20
 
18.0%

capt
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
자본금
20 

Length

Max length4
Median length4
Mean length3.8198198
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> 91
82.0%
자본금 20
 
18.0%

Length

2024-04-16T13:26:46.168910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:46.754413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
자본금 20
 
18.0%

mnfactreartclcn
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
제작취급품목내용
20 

Length

Max length8
Median length4
Mean length4.7207207
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> 91
82.0%
제작취급품목내용 20
 
18.0%

Length

2024-04-16T13:26:46.887837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:47.022048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
제작취급품목내용 20
 
18.0%

chaircnt
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
좌석수
20 

Length

Max length4
Median length4
Mean length3.8198198
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> 91
82.0%
좌석수 20
 
18.0%

Length

2024-04-16T13:26:47.139711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:47.249329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
좌석수 20
 
18.0%

nearenvnm
Categorical

Distinct7
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
73 
주변환경명
16 
기타
12 
주택가주변
 
4
아파트지역
 
3
Other values (2)
 
3

Length

Max length8
Median length4
Mean length4.0990991
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 73
65.8%
주변환경명 16
 
14.4%
기타 12
 
10.8%
주택가주변 4
 
3.6%
아파트지역 3
 
2.7%
학교정화(상대) 2
 
1.8%
유흥업소밀집지역 1
 
0.9%

Length

2024-04-16T13:26:47.393853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:47.533436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
65.8%
주변환경명 16
 
14.4%
기타 12
 
10.8%
주택가주변 4
 
3.6%
아파트지역 3
 
2.7%
학교정화(상대 2
 
1.8%
유흥업소밀집지역 1
 
0.9%

jisgnumlay
Categorical

Distinct15
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
51 
지상층수
14 
3
11 
4
5
 
5
Other values (10)
23 

Length

Max length4
Median length4
Mean length2.8018018
Min length1

Unique

Unique3 ?
Unique (%)2.7%

Sample

1st row10
2nd row<NA>
3rd row4
4th row4
5th row13

Common Values

ValueCountFrequency (%)
<NA> 51
45.9%
지상층수 14
 
12.6%
3 11
 
9.9%
4 7
 
6.3%
5 5
 
4.5%
7 4
 
3.6%
6 4
 
3.6%
2 4
 
3.6%
13 2
 
1.8%
1 2
 
1.8%
Other values (5) 7
 
6.3%

Length

2024-04-16T13:26:47.708434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 51
45.9%
지상층수 14
 
12.6%
3 11
 
9.9%
4 7
 
6.3%
5 5
 
4.5%
7 4
 
3.6%
6 4
 
3.6%
2 4
 
3.6%
13 2
 
1.8%
1 2
 
1.8%
Other values (5) 7
 
6.3%

regnsenm
Categorical

Distinct11
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
70 
지역구분명
16 
일반상업지역
자연녹지지역
 
6
일반주거지역
 
3
Other values (6)

Length

Max length6
Median length4
Mean length4.5135135
Min length4

Unique

Unique4 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 70
63.1%
지역구분명 16
 
14.4%
일반상업지역 8
 
7.2%
자연녹지지역 6
 
5.4%
일반주거지역 3
 
2.7%
주거지역 2
 
1.8%
준주거지역 2
 
1.8%
근린상업지역 1
 
0.9%
중심상업지역 1
 
0.9%
준공업지역 1
 
0.9%

Length

2024-04-16T13:26:47.867467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 70
63.1%
지역구분명 16
 
14.4%
일반상업지역 8
 
7.2%
자연녹지지역 6
 
5.4%
일반주거지역 3
 
2.7%
주거지역 2
 
1.8%
준주거지역 2
 
1.8%
근린상업지역 1
 
0.9%
중심상업지역 1
 
0.9%
준공업지역 1
 
0.9%

undernumlay
Categorical

Distinct7
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
50 
1
32 
지하층수
14 
2
3
 
3
Other values (2)
 
4

Length

Max length4
Median length4
Mean length2.7297297
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
45.0%
1 32
28.8%
지하층수 14
 
12.6%
2 8
 
7.2%
3 3
 
2.7%
0 3
 
2.7%
5 1
 
0.9%

Length

2024-04-16T13:26:48.033960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:48.180587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
45.0%
1 32
28.8%
지하층수 14
 
12.6%
2 8
 
7.2%
3 3
 
2.7%
0 3
 
2.7%
5 1
 
0.9%

totnumlay
Categorical

Distinct15
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
54 
총층수
14 
5
4
 
5
9
 
5
Other values (10)
24 

Length

Max length4
Median length3
Mean length2.7477477
Min length1

Unique

Unique3 ?
Unique (%)2.7%

Sample

1st row10
2nd row<NA>
3rd row<NA>
4th row4
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 54
48.6%
총층수 14
 
12.6%
5 9
 
8.1%
4 5
 
4.5%
9 5
 
4.5%
3 5
 
4.5%
7 4
 
3.6%
2 4
 
3.6%
10 2
 
1.8%
1 2
 
1.8%
Other values (5) 7
 
6.3%

Length

2024-04-16T13:26:48.333364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 54
48.6%
총층수 14
 
12.6%
5 9
 
8.1%
4 5
 
4.5%
9 5
 
4.5%
3 5
 
4.5%
7 4
 
3.6%
2 4
 
3.6%
10 2
 
1.8%
1 2
 
1.8%
Other values (5) 7
 
6.3%
Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
91 
회의실별동시수용인원
20 

Length

Max length10
Median length4
Mean length5.0810811
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> 91
82.0%
회의실별동시수용인원 20
 
18.0%

Length

2024-04-16T13:26:48.484752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:48.608753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 91
82.0%
회의실별동시수용인원 20
 
18.0%

last_load_dttm
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
Minimum2021-03-01 05:23:03
Maximum2021-03-01 05:23:03
2024-04-16T13:26:48.713543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:26:48.822138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelstroomcntbdngsrvnmcnstyareasvnsrplninsurstdtplninsurenddtplayutscntdtlplayfacilcntstagearculwrkrsenmculphyedcobnmgeicpfacilenbcfacileninsurorgnminsurstdtinsurenddtafcshpinfoshpcntshptottonsfacilscpfacilarinfobenengstntrnmnmengstntrnmaddrdispenencaptmnfactreartclcnchaircntnearenvnmjisgnumlayregnsenmundernumlaytotnumlaymeetsamtimesygstflast_load_dttm
013250000CDFE123000200300000103_06_01_PI2018-08-31 23:59:59.0<NA>가톨릭센타600801부산광역시 중구 대청동4가 81-1번지48947부산광역시 중구 중구로 71 (대청동4가)20030828<NA><NA><NA><NA>13영업중384984.974974180571.62532420120306134142<NA>051-123-1234<NA>문화시설<NA><NA><NA><NA><NA><NA><NA>공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA>110<NA>2021-03-01 05:23:03
123250000CDFE123000200400000103_06_01_PI2018-08-31 23:59:59.0<NA>민주공원 중극장600110부산광역시 중구 영주동 산 10-7번지48947부산광역시 중구 민주공원길 19 (영주동)20040625<NA><NA><NA><NA>13영업중384900.782558181145.92702220150415173343<NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA>공연장공연장<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 05:23:03
233250000CDFE123000201500000203_06_01_PI2018-08-31 23:59:59.0<NA>키다리소극장600045부산광역시 중구 남포동5가 1-1번지48947부산광역시 중구 구덕로48번길 3, 4층 (남포동5가)20150617<NA><NA><NA><NA>13영업중385150.106759179929.33224120150617095636<NA>051-123-1234<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA>공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4<NA><NA><NA><NA>2021-03-01 05:23:03
343250000CDFE123000201500000103_06_01_PI2018-08-31 23:59:59.0<NA>키다리소극장600045부산광역시 중구 남포동5가 1-1번지48947부산광역시 중구 구덕로48번길 3, 4층 (남포동5가)20150617<NA><NA><NA><NA>13영업중385150.106759179929.33224120150617092621<NA>051-123-1234<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA>공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4<NA><NA>4<NA>2021-03-01 05:23:03
453250000CDFE123000201400000103_06_01_PI2018-08-31 23:59:59.0<NA>BNK부산은행조은극장 2관600042부산광역시 중구 남포동2가 25-10번지48947부산광역시 중구 구덕로34번길 4, 3층 (남포동2가, 쏠레마빌딩)20140313<NA><NA><NA><NA>13영업중385314.95814179888.76467820180413110053<NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA>공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13<NA>1<NA><NA>2021-03-01 05:23:03
563250000CDFE123000201100000103_06_01_PI2018-08-31 23:59:59.0<NA>BNK부산은행조은극장 2관600031부산광역시 중구 광복동1가 59-1번지48947부산광역시 중구 광복로 82 (광복동1가)2011071420170508<NA><NA><NA>03폐업385449.147431179896.66751820170512092539<NA>051-123-1234<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA>공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4<NA>2021-03-01 05:23:03
673250000CDFE123000200900000103_06_01_PI2018-08-31 23:59:59.0<NA>BNK부산은행조은극장 1관600042부산광역시 중구 남포동2가 25-10번지48947부산광역시 중구 구덕로34번길 4, 3층 (남포동2가, 쏠레마빌딩)20090401<NA><NA><NA><NA>13영업중385314.95814179888.76467820180413110026<NA>051-123-1234<NA>문화시설<NA><NA><NA><NA><NA><NA><NA>공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>13<NA>1<NA><NA>2021-03-01 05:23:03
783250000CDFE123000200400000203_06_01_PI2018-08-31 23:59:59.0<NA>민주공원 소극장600110부산광역시 중구 영주동 산 10-7번지48947부산광역시 중구 민주공원길 19 (영주동)20040625<NA><NA><NA><NA>13영업중384900.782558181145.92702220150415173531<NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA>공연장공연장<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 05:23:03
893270000CDFE123000200300000203_06_01_PU2020-10-14 02:40:00.0공연장부산시민회관 소극장<NA>부산광역시 동구 범일동 830-31 부산시민회관48742부산광역시 동구 자성로133번길 16, 부산시민회관 (범일동)20030120<NA><NA><NA><NA>영업/정상영업중388143.823411184140.57826820201012145442<NA>630-5200<NA><NA><NA><NA><NA><NA><NA><NA><NA>공연장공연장<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 05:23:03
9103270000CDFE123000200300000103_06_01_PU2021-01-02 02:40:00.0공연장부산시민회관 대극장<NA>부산광역시 동구 범일동 830-31 부산시민회관48742부산광역시 동구 자성로133번길 16, 부산시민회관 (범일동)20030120<NA><NA><NA><NA>영업/정상영업중388143.823411184140.57826820201231134615<NA>051-630-5200<NA><NA><NA><NA><NA><NA><NA><NA><NA>공연장공연장<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 05:23:03
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelstroomcntbdngsrvnmcnstyareasvnsrplninsurstdtplninsurenddtplayutscntdtlplayfacilcntstagearculwrkrsenmculphyedcobnmgeicpfacilenbcfacileninsurorgnminsurstdtinsurenddtafcshpinfoshpcntshptottonsfacilscpfacilarinfobenengstntrnmnmengstntrnmaddrdispenencaptmnfactreartclcnchaircntnearenvnmjisgnumlayregnsenmundernumlaytotnumlaymeetsamtimesygstflast_load_dttm
1011413310000CDFE123000201900000103_06_01_PU2019-10-31 02:40:00.0공연장드림씨어터지번우편번호부산광역시 남구 문현동 1227-2번지48400부산광역시 남구 전포대로 133, ifc몰 3층 (문현동)20190321폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중388150.394269185188.7297120191029101509업태구분명051-123-1234객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적공연장공연장보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수시설규모시설면적영문상호명영문상호주소자본금제작취급품목내용좌석수주변환경명지상층수지역구분명지하층수총층수회의실별동시수용인원2021-03-01 05:23:03
1021513310000CDFE123000201900000203_06_01_PU2019-10-19 02:40:00.0공연장공간 소극장지번우편번호부산광역시 남구 대연동 1756-27번지 대연역48496부산광역시 남구 수영로 지하 242, 대연역 (대연동)20190523폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중390451.823579183703.68718720191017142423업태구분명051-123-1234객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적공연장공연장보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수시설규모시설면적영문상호명영문상호주소자본금제작취급품목내용좌석수주변환경명지상층수지역구분명지하층수총층수회의실별동시수용인원2021-03-01 05:23:03
1032203330000CDFE123000201900000103_06_01_PI2019-12-26 00:23:25.0공연장Tree house지번우편번호부산광역시 해운대구 중동 1521-44번지48114부산광역시 해운대구 좌동순환로 421, 2층 (중동)20191224폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중398077.592061186879.28417520191224152528업태구분명051-123-1234객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적공연장공연장보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수시설규모시설면적영문상호명영문상호주소자본금제작취급품목내용좌석수주변환경명지상층수지역구분명지하층수총층수회의실별동시수용인원2021-03-01 05:23:03
1043493310000CDFE123000202100000103_06_01_PI2021-02-05 00:23:13.0공연장부산 해바라기 소극장지번우편번호부산광역시 남구 대연동 52-18 대명빌딩48512부산광역시 남구 용소로13번길 30, 대명빌딩 지하1층 (대연동)20210203폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중391534.44731183980.50047520210203100931업태구분명16001716객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적공연장공연장보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수시설규모시설면적영문상호명영문상호주소자본금제작취급품목내용좌석수주변환경명지상층수지역구분명지하층수총층수회의실별동시수용인원2021-03-01 05:23:03
1053103250000CDFE123000202000000103_06_01_PI2020-08-27 00:23:13.0공연장살롱 드 부산 1023<NA>부산광역시 중구 중앙동4가 37-548930부산광역시 중구 40계단길 3, 지하1층 (중앙동4가)20200825<NA><NA><NA><NA>영업/정상영업중385464.22037180225.68598320200825144139<NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA>공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA>2021-03-01 05:23:03
1063153380000CDFE123000202000000103_06_01_PI2020-09-02 00:23:13.0공연장소극장 6번출구지번우편번호부산광역시 수영구 남천동 47-948265부산광역시 수영구 수영로 477, 화민빌딩 지하1층 (남천동)20200831폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중392244.211205185304.77077220200831113756업태구분명051-123-1234객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적공연장공연장보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수시설규모시설면적영문상호명영문상호주소자본금제작취급품목내용좌석수주변환경명지상층수지역구분명지하층수총층수회의실별동시수용인원2021-03-01 05:23:03
1073163310000CDFE123000202000000103_06_01_PI2020-09-02 00:23:13.0공연장바이널언더그라운드<NA>부산광역시 남구 대연동 58-2 한라빌딩48512부산광역시 남구 수영로322번길 32, 한라빌딩 지하1층 (대연동)20200831<NA><NA><NA><NA>영업/정상영업중391504.135299183938.81879320200831163808<NA>051-123-1234<NA><NA><NA><NA><NA><NA><NA><NA><NA>공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA>2021-03-01 05:23:03
1083413290000CDFE123000202000000103_06_01_PI2020-12-19 00:23:16.0공연장KT&G상상마당부산 라이브홀지번우편번호부산광역시 부산진구 부전동 521-1 KT&G 상상마당부산47288부산광역시 부산진구 서면로 39, KT&G 상상마당부산 3층 (부전동)20201217폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중387394.96797185837.31656820201217115637업태구분명051-809-5555객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적공연장공연장보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수시설규모시설면적영문상호명영문상호주소자본금제작취급품목내용좌석수주변환경명3지역구분명지하층수2회의실별동시수용인원2021-03-01 05:23:03
1093443350000CDFE123000202000000103_06_01_PU2021-01-16 02:40:00.0공연장신명천지 소극장지번우편번호부산광역시 금정구 부곡동 333-346306부산광역시 금정구 부곡로 77, 지하1층 (부곡동)20201224폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중390275.082423193514.71327220210114112753업태구분명0515157314객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적공연장공연장보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수시설규모시설면적영문상호명영문상호주소자본금제작취급품목내용좌석수주변환경명지상층수지역구분명지하층수총층수회의실별동시수용인원2021-03-01 05:23:03
1103543380000CDFE123000202100000103_06_01_PI2021-02-11 00:23:11.0공연장어댑터플레이스지번우편번호부산광역시 수영구 광안동 197-1848303부산광역시 수영구 광안해변로 193, 7층 (광안동)20210209폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중392818.237637185662.74833120210209145420업태구분명051-911-1447객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적공연장공연장보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수시설규모시설면적영문상호명영문상호주소자본금제작취급품목내용좌석수주변환경명지상층수지역구분명지하층수총층수회의실별동시수용인원2021-03-01 05:23:03