Overview

Dataset statistics

Number of variables60
Number of observations347
Missing cells81
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory164.5 KiB
Average record size in memory485.4 B

Variable types

Numeric5
Text7
Categorical46
DateTime2

Alerts

last_load_dttm has constant value ""Constant
opnsvcid is highly imbalanced (85.5%)Imbalance
opnsvcnm is highly imbalanced (56.1%)Imbalance
dcbymd is highly imbalanced (62.1%)Imbalance
trdstatenm is highly imbalanced (58.9%)Imbalance
dtlstatenm is highly imbalanced (70.9%)Imbalance
sitetel is highly imbalanced (76.4%)Imbalance
culwrkrsenm is highly imbalanced (85.5%)Imbalance
culphyedcobnm is highly imbalanced (85.5%)Imbalance
facilscp is highly imbalanced (61.5%)Imbalance
facilar is highly imbalanced (61.5%)Imbalance
sitepostno has 74 (21.3%) missing valuesMissing
skey has unique valuesUnique

Reproduction

Analysis started2024-04-16 04:26:51.006792
Analysis finished2024-04-16 04:26:52.738299
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct347
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.26513
Minimum1
Maximum348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-16T13:26:52.825511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.3
Q187.5
median174
Q3261.5
95-th percentile330.7
Maximum348
Range347
Interquartile range (IQR)174

Descriptive statistics

Standard deviation100.65286
Coefficient of variation (CV)0.57758465
Kurtosis-1.1995655
Mean174.26513
Median Absolute Deviation (MAD)87
Skewness0.0054977782
Sum60470
Variance10130.999
MonotonicityStrictly increasing
2024-04-16T13:26:53.014630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
230 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
232 1
 
0.3%
231 1
 
0.3%
Other values (337) 337
97.1%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
348 1
0.3%
347 1
0.3%
346 1
0.3%
345 1
0.3%
344 1
0.3%
343 1
0.3%
342 1
0.3%
341 1
0.3%
340 1
0.3%
339 1
0.3%

opnsfteamcode
Real number (ℝ)

Distinct100
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3729974.1
Minimum3000000
Maximum6510000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-16T13:26:53.204742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3000000
Q13240000
median3350000
Q33995000
95-th percentile5364000
Maximum6510000
Range3510000
Interquartile range (IQR)755000

Descriptive statistics

Standard deviation780966.61
Coefficient of variation (CV)0.20937588
Kurtosis1.5460447
Mean3729974.1
Median Absolute Deviation (MAD)270000
Skewness1.4790163
Sum1.294301 × 109
Variance6.0990884 × 1011
MonotonicityNot monotonic
2024-04-16T13:26:53.378414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3310000 23
 
6.6%
3000000 22
 
6.3%
3330000 17
 
4.9%
3350000 11
 
3.2%
3740000 10
 
2.9%
3290000 10
 
2.9%
3380000 10
 
2.9%
3250000 9
 
2.6%
3020000 8
 
2.3%
4800000 7
 
2.0%
Other values (90) 220
63.4%
ValueCountFrequency (%)
3000000 22
6.3%
3010000 4
 
1.2%
3020000 8
 
2.3%
3030000 2
 
0.6%
3040000 3
 
0.9%
3050000 1
 
0.3%
3070000 3
 
0.9%
3080000 3
 
0.9%
3090000 1
 
0.3%
3120000 5
 
1.4%
ValueCountFrequency (%)
6510000 5
1.4%
5710000 3
0.9%
5690000 3
0.9%
5590000 1
 
0.3%
5530000 3
0.9%
5380000 1
 
0.3%
5370000 2
 
0.6%
5350000 2
 
0.6%
5310000 1
 
0.3%
5220000 3
0.9%

mgtno
Text

Distinct69
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-16T13:26:53.624539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters6940
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)9.5%

Sample

1st rowCDFE1230002003000001
2nd rowCDFE1230002004000001
3rd rowCDFE1230002015000002
4th rowCDFE1230002015000001
5th rowCDFE1230002014000001
ValueCountFrequency (%)
cdfe1230002020000001 71
20.5%
cdfe1230002019000001 61
17.6%
cdfe1230002019000002 21
 
6.1%
cdfe1230002020000002 17
 
4.9%
cdfe1230002018000001 16
 
4.6%
cdfe1230002019000003 10
 
2.9%
cdfe1230002003000001 8
 
2.3%
cdfe1230002020000003 8
 
2.3%
cdfe1230002014000001 7
 
2.0%
cdfe1230002009000001 7
 
2.0%
Other values (59) 121
34.9%
2024-04-16T13:26:54.017114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3239
46.7%
2 894
 
12.9%
1 789
 
11.4%
3 387
 
5.6%
C 347
 
5.0%
D 347
 
5.0%
F 347
 
5.0%
E 336
 
4.8%
9 129
 
1.9%
8 41
 
0.6%
Other values (5) 84
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5552
80.0%
Uppercase Letter 1388
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3239
58.3%
2 894
 
16.1%
1 789
 
14.2%
3 387
 
7.0%
9 129
 
2.3%
8 41
 
0.7%
4 27
 
0.5%
6 20
 
0.4%
5 15
 
0.3%
7 11
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 347
25.0%
D 347
25.0%
F 347
25.0%
E 336
24.2%
I 11
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Common 5552
80.0%
Latin 1388
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3239
58.3%
2 894
 
16.1%
1 789
 
14.2%
3 387
 
7.0%
9 129
 
2.3%
8 41
 
0.7%
4 27
 
0.5%
6 20
 
0.4%
5 15
 
0.3%
7 11
 
0.2%
Latin
ValueCountFrequency (%)
C 347
25.0%
D 347
25.0%
F 347
25.0%
E 336
24.2%
I 11
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3239
46.7%
2 894
 
12.9%
1 789
 
11.4%
3 387
 
5.6%
C 347
 
5.0%
D 347
 
5.0%
F 347
 
5.0%
E 336
 
4.8%
9 129
 
1.9%
8 41
 
0.6%
Other values (5) 84
 
1.2%

opnsvcid
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
03_06_01_P
336 
03_06_02_P
 
8
03_06_03_P
 
3

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 336
96.8%
03_06_02_P 8
 
2.3%
03_06_03_P 3
 
0.9%

Length

2024-04-16T13:26:54.176983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:54.300541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_06_01_p 336
96.8%
03_06_02_p 8
 
2.3%
03_06_03_p 3
 
0.9%

updategbn
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
I
225 
U
122 

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 225
64.8%
U 122
35.2%

Length

2024-04-16T13:26:54.425496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:54.542467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 225
64.8%
u 122
35.2%
Distinct196
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-31 02:40:00
2024-04-16T13:26:54.679609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:26:54.840557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

opnsvcnm
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
공연장
277 
<NA>
59 
관광공연장업
 
8
관광극장유흥업
 
3

Length

Max length7
Median length3
Mean length3.2737752
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 (%)
공연장 277
79.8%
<NA> 59
 
17.0%
관광공연장업 8
 
2.3%
관광극장유흥업 3
 
0.9%

Length

2024-04-16T13:26:55.018193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:55.167760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 277
79.8%
na 59
 
17.0%
관광공연장업 8
 
2.3%
관광극장유흥업 3
 
0.9%

bplcnm
Text

Distinct285
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-16T13:26:55.437039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length7.8818444
Min length2

Characters and Unicode

Total characters2735
Distinct characters391
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

Unique246 ?
Unique (%)70.9%

Sample

1st row가톨릭센타
2nd row민주공원 중극장
3rd row키다리소극장
4th row키다리소극장
5th rowBNK부산은행조은극장 2관
ValueCountFrequency (%)
소극장 24
 
4.5%
아트홀 16
 
3.0%
공연장 15
 
2.8%
아트센터 8
 
1.5%
주식회사 4
 
0.7%
대극장 4
 
0.7%
2관 4
 
0.7%
예술마을 4
 
0.7%
칸테움극장 4
 
0.7%
강북솔밭국악당 3
 
0.6%
Other values (350) 451
84.0%
2024-04-16T13:26:55.881348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
 
6.9%
116
 
4.2%
105
 
3.8%
100
 
3.7%
97
 
3.5%
89
 
3.3%
63
 
2.3%
55
 
2.0%
50
 
1.8%
48
 
1.8%
Other values (381) 1822
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2336
85.4%
Space Separator 190
 
6.9%
Uppercase Letter 95
 
3.5%
Decimal Number 39
 
1.4%
Lowercase Letter 34
 
1.2%
Close Punctuation 12
 
0.4%
Open Punctuation 12
 
0.4%
Math Symbol 8
 
0.3%
Other Punctuation 5
 
0.2%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
116
 
5.0%
105
 
4.5%
100
 
4.3%
97
 
4.2%
89
 
3.8%
63
 
2.7%
55
 
2.4%
50
 
2.1%
48
 
2.1%
46
 
2.0%
Other values (326) 1567
67.1%
Uppercase Letter
ValueCountFrequency (%)
K 11
11.6%
N 11
11.6%
E 9
9.5%
A 8
 
8.4%
M 7
 
7.4%
S 7
 
7.4%
B 6
 
6.3%
C 6
 
6.3%
T 5
 
5.3%
R 5
 
5.3%
Other values (12) 20
21.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
11.8%
a 4
11.8%
l 4
11.8%
p 3
8.8%
u 3
8.8%
o 2
 
5.9%
i 2
 
5.9%
h 2
 
5.9%
m 2
 
5.9%
s 2
 
5.9%
Other values (6) 6
17.6%
Decimal Number
ValueCountFrequency (%)
1 13
33.3%
2 10
25.6%
9 4
 
10.3%
3 3
 
7.7%
0 3
 
7.7%
4 3
 
7.7%
6 2
 
5.1%
7 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
' 2
40.0%
" 2
40.0%
& 1
20.0%
Math Symbol
ValueCountFrequency (%)
> 4
50.0%
< 4
50.0%
Space Separator
ValueCountFrequency (%)
190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2336
85.4%
Common 270
 
9.9%
Latin 129
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
116
 
5.0%
105
 
4.5%
100
 
4.3%
97
 
4.2%
89
 
3.8%
63
 
2.7%
55
 
2.4%
50
 
2.1%
48
 
2.1%
46
 
2.0%
Other values (326) 1567
67.1%
Latin
ValueCountFrequency (%)
K 11
 
8.5%
N 11
 
8.5%
E 9
 
7.0%
A 8
 
6.2%
M 7
 
5.4%
S 7
 
5.4%
B 6
 
4.7%
C 6
 
4.7%
T 5
 
3.9%
R 5
 
3.9%
Other values (28) 54
41.9%
Common
ValueCountFrequency (%)
190
70.4%
1 13
 
4.8%
) 12
 
4.4%
( 12
 
4.4%
2 10
 
3.7%
9 4
 
1.5%
- 4
 
1.5%
> 4
 
1.5%
< 4
 
1.5%
3 3
 
1.1%
Other values (7) 14
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2336
85.4%
ASCII 399
 
14.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
47.6%
1 13
 
3.3%
) 12
 
3.0%
( 12
 
3.0%
K 11
 
2.8%
N 11
 
2.8%
2 10
 
2.5%
E 9
 
2.3%
A 8
 
2.0%
M 7
 
1.8%
Other values (45) 116
29.1%
Hangul
ValueCountFrequency (%)
116
 
5.0%
105
 
4.5%
100
 
4.3%
97
 
4.2%
89
 
3.8%
63
 
2.7%
55
 
2.4%
50
 
2.1%
48
 
2.1%
46
 
2.0%
Other values (326) 1567
67.1%

sitepostno
Text

MISSING 

Distinct51
Distinct (%)18.7%
Missing74
Missing (%)21.3%
Memory size2.8 KiB
2024-04-16T13:26:56.114738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters1638
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 (%)10.6%

Sample

1st row600801
2nd row600110
3rd row600045
4th row600045
5th row600042
ValueCountFrequency (%)
지번우편번호 194
71.1%
612836 4
 
1.5%
608805 3
 
1.1%
601807 3
 
1.1%
608811 3
 
1.1%
607803 3
 
1.1%
608806 3
 
1.1%
612020 3
 
1.1%
600110 2
 
0.7%
616800 2
 
0.7%
Other values (41) 53
 
19.4%
2024-04-16T13:26:56.498562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
388
23.7%
194
11.8%
194
11.8%
194
11.8%
194
11.8%
0 103
 
6.3%
6 99
 
6.0%
8 77
 
4.7%
1 74
 
4.5%
2 34
 
2.1%
Other values (5) 87
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1164
71.1%
Decimal Number 474
28.9%

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 (%)
388
33.3%
194
16.7%
194
16.7%
194
16.7%
194
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1164
71.1%
Common 474
28.9%

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 (%)
388
33.3%
194
16.7%
194
16.7%
194
16.7%
194
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1164
71.1%
ASCII 474
28.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
388
33.3%
194
16.7%
194
16.7%
194
16.7%
194
16.7%
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%
Distinct270
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-16T13:26:56.846787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length24.927954
Min length14

Characters and Unicode

Total characters8650
Distinct characters289
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique222 ?
Unique (%)64.0%

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 110
 
6.6%
서울특별시 87
 
5.2%
경기도 41
 
2.4%
남구 28
 
1.7%
대연동 22
 
1.3%
종로구 22
 
1.3%
중구 18
 
1.1%
해운대구 17
 
1.0%
전라북도 15
 
0.9%
대구광역시 14
 
0.8%
Other values (725) 1304
77.7%
2024-04-16T13:26:57.364833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1665
 
19.2%
355
 
4.1%
337
 
3.9%
1 335
 
3.9%
304
 
3.5%
274
 
3.2%
- 251
 
2.9%
241
 
2.8%
201
 
2.3%
2 192
 
2.2%
Other values (279) 4495
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5269
60.9%
Space Separator 1665
 
19.2%
Decimal Number 1426
 
16.5%
Dash Punctuation 251
 
2.9%
Uppercase Letter 19
 
0.2%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Lowercase Letter 4
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
355
 
6.7%
337
 
6.4%
304
 
5.8%
274
 
5.2%
241
 
4.6%
201
 
3.8%
161
 
3.1%
158
 
3.0%
147
 
2.8%
137
 
2.6%
Other values (247) 2954
56.1%
Uppercase Letter
ValueCountFrequency (%)
C 3
15.8%
G 3
15.8%
Y 2
10.5%
K 2
10.5%
N 2
10.5%
P 1
 
5.3%
B 1
 
5.3%
L 1
 
5.3%
I 1
 
5.3%
F 1
 
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
1 335
23.5%
2 192
13.5%
3 168
11.8%
5 136
9.5%
4 136
9.5%
6 99
 
6.9%
7 96
 
6.7%
0 94
 
6.6%
8 91
 
6.4%
9 79
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
u 1
25.0%
l 1
25.0%
e 1
25.0%
s 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
1665
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 251
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5269
60.9%
Common 3358
38.8%
Latin 23
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
355
 
6.7%
337
 
6.4%
304
 
5.8%
274
 
5.2%
241
 
4.6%
201
 
3.8%
161
 
3.1%
158
 
3.0%
147
 
2.8%
137
 
2.6%
Other values (247) 2954
56.1%
Common
ValueCountFrequency (%)
1665
49.6%
1 335
 
10.0%
- 251
 
7.5%
2 192
 
5.7%
3 168
 
5.0%
5 136
 
4.1%
4 136
 
4.1%
6 99
 
2.9%
7 96
 
2.9%
0 94
 
2.8%
Other values (6) 186
 
5.5%
Latin
ValueCountFrequency (%)
C 3
13.0%
G 3
13.0%
Y 2
 
8.7%
K 2
 
8.7%
N 2
 
8.7%
u 1
 
4.3%
l 1
 
4.3%
P 1
 
4.3%
e 1
 
4.3%
B 1
 
4.3%
Other values (6) 6
26.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5269
60.9%
ASCII 3381
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1665
49.2%
1 335
 
9.9%
- 251
 
7.4%
2 192
 
5.7%
3 168
 
5.0%
5 136
 
4.0%
4 136
 
4.0%
6 99
 
2.9%
7 96
 
2.8%
0 94
 
2.8%
Other values (22) 209
 
6.2%
Hangul
ValueCountFrequency (%)
355
 
6.7%
337
 
6.4%
304
 
5.8%
274
 
5.2%
241
 
4.6%
201
 
3.8%
161
 
3.1%
158
 
3.0%
147
 
2.8%
137
 
2.6%
Other values (247) 2954
56.1%

rdnpostno
Real number (ℝ)

Distinct194
Distinct (%)56.2%
Missing2
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean33312.136
Minimum1006
Maximum614827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-16T13:26:57.529688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1006
5-th percentile3084
Q18813
median39848
Q348947
95-th percentile58640.8
Maximum614827
Range613821
Interquartile range (IQR)40134

Descriptive statistics

Standard deviation37299.449
Coefficient of variation (CV)1.1196955
Kurtosis171.8717
Mean33312.136
Median Absolute Deviation (MAD)15052
Skewness11.00114
Sum11492687
Variance1.3912489 × 109
MonotonicityNot monotonic
2024-04-16T13:26:58.085578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48947 76
 
21.9%
3084 8
 
2.3%
5500 4
 
1.2%
38685 4
 
1.2%
8392 4
 
1.2%
10245 3
 
0.9%
14592 3
 
0.9%
3085 3
 
0.9%
42635 3
 
0.9%
56407 3
 
0.9%
Other values (184) 234
67.4%
ValueCountFrequency (%)
1006 3
 
0.9%
1318 1
 
0.3%
2456 1
 
0.3%
2846 3
 
0.9%
3044 3
 
0.9%
3072 1
 
0.3%
3075 1
 
0.3%
3084 8
2.3%
3085 3
 
0.9%
3086 2
 
0.6%
ValueCountFrequency (%)
614827 1
0.3%
63277 1
0.3%
63262 1
0.3%
63246 1
0.3%
63223 1
0.3%
63112 1
0.3%
61484 1
0.3%
61081 2
0.6%
59771 2
0.6%
58754 1
0.3%
Distinct268
Distinct (%)77.5%
Missing1
Missing (%)0.3%
Memory size2.8 KiB
2024-04-16T13:26:58.478876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length31.008671
Min length18

Characters and Unicode

Total characters10729
Distinct characters345
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

Unique219 ?
Unique (%)63.3%

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 108
 
5.0%
서울특별시 87
 
4.0%
지하1층 57
 
2.6%
경기도 41
 
1.9%
남구 28
 
1.3%
2층 27
 
1.2%
종로구 22
 
1.0%
대연동 20
 
0.9%
중구 18
 
0.8%
해운대구 17
 
0.8%
Other values (891) 1736
80.3%
2024-04-16T13:26:59.040746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1821
 
17.0%
387
 
3.6%
350
 
3.3%
1 343
 
3.2%
339
 
3.2%
315
 
2.9%
( 312
 
2.9%
) 312
 
2.9%
, 276
 
2.6%
2 203
 
1.9%
Other values (335) 6071
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6487
60.5%
Space Separator 1821
 
17.0%
Decimal Number 1430
 
13.3%
Open Punctuation 312
 
2.9%
Close Punctuation 312
 
2.9%
Other Punctuation 277
 
2.6%
Dash Punctuation 46
 
0.4%
Uppercase Letter 36
 
0.3%
Lowercase Letter 7
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
387
 
6.0%
350
 
5.4%
339
 
5.2%
315
 
4.9%
202
 
3.1%
173
 
2.7%
164
 
2.5%
161
 
2.5%
148
 
2.3%
146
 
2.3%
Other values (299) 4102
63.2%
Uppercase Letter
ValueCountFrequency (%)
B 15
41.7%
C 5
 
13.9%
K 3
 
8.3%
P 2
 
5.6%
G 2
 
5.6%
Y 2
 
5.6%
N 2
 
5.6%
T 1
 
2.8%
E 1
 
2.8%
A 1
 
2.8%
Other values (2) 2
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 343
24.0%
2 203
14.2%
3 182
12.7%
4 120
 
8.4%
0 117
 
8.2%
5 113
 
7.9%
6 98
 
6.9%
7 92
 
6.4%
9 88
 
6.2%
8 74
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
l 1
14.3%
u 1
14.3%
e 1
14.3%
s 1
14.3%
i 1
14.3%
f 1
14.3%
c 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 276
99.6%
& 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1821
100.0%
Open Punctuation
ValueCountFrequency (%)
( 312
100.0%
Close Punctuation
ValueCountFrequency (%)
) 312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6487
60.5%
Common 4199
39.1%
Latin 43
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
387
 
6.0%
350
 
5.4%
339
 
5.2%
315
 
4.9%
202
 
3.1%
173
 
2.7%
164
 
2.5%
161
 
2.5%
148
 
2.3%
146
 
2.3%
Other values (299) 4102
63.2%
Latin
ValueCountFrequency (%)
B 15
34.9%
C 5
 
11.6%
K 3
 
7.0%
P 2
 
4.7%
G 2
 
4.7%
Y 2
 
4.7%
N 2
 
4.7%
l 1
 
2.3%
u 1
 
2.3%
e 1
 
2.3%
Other values (9) 9
20.9%
Common
ValueCountFrequency (%)
1821
43.4%
1 343
 
8.2%
( 312
 
7.4%
) 312
 
7.4%
, 276
 
6.6%
2 203
 
4.8%
3 182
 
4.3%
4 120
 
2.9%
0 117
 
2.8%
5 113
 
2.7%
Other values (7) 400
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6487
60.5%
ASCII 4242
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1821
42.9%
1 343
 
8.1%
( 312
 
7.4%
) 312
 
7.4%
, 276
 
6.5%
2 203
 
4.8%
3 182
 
4.3%
4 120
 
2.8%
0 117
 
2.8%
5 113
 
2.7%
Other values (26) 443
 
10.4%
Hangul
ValueCountFrequency (%)
387
 
6.0%
350
 
5.4%
339
 
5.2%
315
 
4.9%
202
 
3.1%
173
 
2.7%
164
 
2.5%
161
 
2.5%
148
 
2.3%
146
 
2.3%
Other values (299) 4102
63.2%

apvpermymd
Real number (ℝ)

Distinct239
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20165990
Minimum19970308
Maximum20210115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-16T13:26:59.210943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19970308
5-th percentile20030749
Q120150672
median20190620
Q320200327
95-th percentile20201020
Maximum20210115
Range239807
Interquartile range (IQR)49655

Descriptive statistics

Standard deviation51539.781
Coefficient of variation (CV)0.0025557774
Kurtosis2.0261261
Mean20165990
Median Absolute Deviation (MAD)9992
Skewness-1.7322273
Sum6.9975985 × 109
Variance2.656349 × 109
MonotonicityNot monotonic
2024-04-16T13:26:59.412391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20191011 6
 
1.7%
20191227 6
 
1.7%
20191129 6
 
1.7%
20190607 6
 
1.7%
20030107 4
 
1.2%
20191122 3
 
0.9%
20030103 3
 
0.9%
20191206 3
 
0.9%
20200214 3
 
0.9%
20190222 3
 
0.9%
Other values (229) 304
87.6%
ValueCountFrequency (%)
19970308 1
 
0.3%
19991218 2
0.6%
20021217 2
0.6%
20021230 1
 
0.3%
20030103 3
0.9%
20030104 1
 
0.3%
20030107 4
1.2%
20030120 2
0.6%
20030127 1
 
0.3%
20030724 1
 
0.3%
ValueCountFrequency (%)
20210115 2
0.6%
20210111 1
0.3%
20201228 1
0.3%
20201224 2
0.6%
20201223 1
0.3%
20201217 1
0.3%
20201215 2
0.6%
20201211 2
0.6%
20201119 1
0.3%
20201109 1
0.3%

dcbymd
Categorical

IMBALANCE 

Distinct37
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
폐업일자
185 
<NA>
121 
20201016
 
3
20200611
 
3
20160304
 
2
Other values (32)
33 

Length

Max length8
Median length4
Mean length4.4726225
Min length4

Unique

Unique31 ?
Unique (%)8.9%

Sample

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

Common Values

ValueCountFrequency (%)
폐업일자 185
53.3%
<NA> 121
34.9%
20201016 3
 
0.9%
20200611 3
 
0.9%
20160304 2
 
0.6%
20160420 2
 
0.6%
20181221 1
 
0.3%
20190129 1
 
0.3%
20160901 1
 
0.3%
20191025 1
 
0.3%
Other values (27) 27
 
7.8%

Length

2024-04-16T13:26:59.594936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
폐업일자 185
53.3%
na 121
34.9%
20201016 3
 
0.9%
20200611 3
 
0.9%
20160304 2
 
0.6%
20160420 2
 
0.6%
20190802 1
 
0.3%
20190114 1
 
0.3%
20200221 1
 
0.3%
20200413 1
 
0.3%
Other values (27) 27
 
7.8%

clgstdt
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
휴업시작일자
201 
<NA>
146 

Length

Max length6
Median length6
Mean length5.1585014
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 (%)
휴업시작일자 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:26:59.775479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:26:59.898863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴업시작일자 201
57.9%
na 146
42.1%

clgenddt
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
휴업종료일자
201 
<NA>
146 

Length

Max length6
Median length6
Mean length5.1585014
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 (%)
휴업종료일자 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:00.032230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:00.154528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴업종료일자 201
57.9%
na 146
42.1%

ropnymd
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
재개업일자
201 
<NA>
146 

Length

Max length5
Median length5
Mean length4.5792507
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 (%)
재개업일자 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:00.279261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:00.399552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재개업일자 201
57.9%
na 146
42.1%

trdstatenm
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
영업/정상
263 
13
38 
03
 
19
폐업
 
16
취소/말소/만료/정지/중지
 
6
Other values (4)
 
5

Length

Max length14
Median length5
Mean length4.5100865
Min length2

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 263
75.8%
13 38
 
11.0%
03 19
 
5.5%
폐업 16
 
4.6%
취소/말소/만료/정지/중지 6
 
1.7%
35 2
 
0.6%
제외/삭제/전출 1
 
0.3%
영업상태 1
 
0.3%
<NA> 1
 
0.3%

Length

2024-04-16T13:27:00.532290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:00.659887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 263
75.8%
13 38
 
11.0%
03 19
 
5.5%
폐업 16
 
4.6%
취소/말소/만료/정지/중지 6
 
1.7%
35 2
 
0.6%
제외/삭제/전출 1
 
0.3%
영업상태 1
 
0.3%
na 1
 
0.3%

dtlstatenm
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
영업중
303 
폐업
35 
직권말소
 
5
허가취소
 
3
전출
 
1

Length

Max length4
Median length3
Mean length2.9193084
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 303
87.3%
폐업 35
 
10.1%
직권말소 5
 
1.4%
허가취소 3
 
0.9%
전출 1
 
0.3%

Length

2024-04-16T13:27:00.829541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:00.974455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 303
87.3%
폐업 35
 
10.1%
직권말소 5
 
1.4%
허가취소 3
 
0.9%
전출 1
 
0.3%

x
Text

Distinct262
Distinct (%)75.9%
Missing2
Missing (%)0.6%
Memory size2.8 KiB
2024-04-16T13:27:01.224617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.811594
Min length7

Characters and Unicode

Total characters6835
Distinct characters19
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique209 ?
Unique (%)60.6%

Sample

1st row384984.97497400000
2nd row384900.78255800000
3rd row385150.10675900000
4th row385150.10675900000
5th row385314.95814000000
ValueCountFrequency (%)
좌표정보(x 5
 
1.4%
356225.367088156 4
 
1.2%
190987.661570042 4
 
1.2%
206383.829438022 4
 
1.2%
390782.920049317 4
 
1.2%
199647.750199088 3
 
0.9%
150703.578276 3
 
0.9%
201049.029062927 3
 
0.9%
338088.341393 3
 
0.9%
177375.85295174 3
 
0.9%
Other values (252) 309
89.6%
2024-04-16T13:27:01.651646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1477
21.6%
0 760
11.1%
1 534
 
7.8%
2 527
 
7.7%
3 518
 
7.6%
8 474
 
6.9%
9 472
 
6.9%
4 456
 
6.7%
7 440
 
6.4%
5 430
 
6.3%
Other values (9) 747
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4983
72.9%
Space Separator 1477
 
21.6%
Other Punctuation 340
 
5.0%
Other Letter 20
 
0.3%
Close Punctuation 5
 
0.1%
Uppercase Letter 5
 
0.1%
Open Punctuation 5
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 760
15.3%
1 534
10.7%
2 527
10.6%
3 518
10.4%
8 474
9.5%
9 472
9.5%
4 456
9.2%
7 440
8.8%
5 430
8.6%
6 372
7.5%
Other Letter
ValueCountFrequency (%)
5
25.0%
5
25.0%
5
25.0%
5
25.0%
Space Separator
ValueCountFrequency (%)
1477
100.0%
Other Punctuation
ValueCountFrequency (%)
. 340
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6810
99.6%
Hangul 20
 
0.3%
Latin 5
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1477
21.7%
0 760
11.2%
1 534
 
7.8%
2 527
 
7.7%
3 518
 
7.6%
8 474
 
7.0%
9 472
 
6.9%
4 456
 
6.7%
7 440
 
6.5%
5 430
 
6.3%
Other values (4) 722
10.6%
Hangul
ValueCountFrequency (%)
5
25.0%
5
25.0%
5
25.0%
5
25.0%
Latin
ValueCountFrequency (%)
X 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6815
99.7%
Hangul 20
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1477
21.7%
0 760
11.2%
1 534
 
7.8%
2 527
 
7.7%
3 518
 
7.6%
8 474
 
7.0%
9 472
 
6.9%
4 456
 
6.7%
7 440
 
6.5%
5 430
 
6.3%
Other values (5) 727
10.7%
Hangul
ValueCountFrequency (%)
5
25.0%
5
25.0%
5
25.0%
5
25.0%

y
Text

Distinct262
Distinct (%)75.9%
Missing2
Missing (%)0.6%
Memory size2.8 KiB
2024-04-16T13:27:01.910300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.811594
Min length7

Characters and Unicode

Total characters6835
Distinct characters20
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

Unique209 ?
Unique (%)60.6%

Sample

1st row180571.62532400000
2nd row181145.92702200000
3rd row179929.33224100000
4th row179929.33224100000
5th row179888.76467800000
ValueCountFrequency (%)
좌표정보(y 5
 
1.4%
259141.872085538 4
 
1.2%
442224.13121712 4
 
1.2%
446030.128073052 4
 
1.2%
182920.171242687 4
 
1.2%
451566.579232622 3
 
0.9%
365114.725826 3
 
0.9%
461366.546648147 3
 
0.9%
262510.618835 3
 
0.9%
444220.013858635 3
 
0.9%
Other values (252) 309
89.6%
2024-04-16T13:27:02.314450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1470
21.5%
0 665
9.7%
4 589
8.6%
1 571
 
8.4%
8 529
 
7.7%
2 514
 
7.5%
3 443
 
6.5%
7 438
 
6.4%
6 433
 
6.3%
9 414
 
6.1%
Other values (10) 769
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4988
73.0%
Space Separator 1470
 
21.5%
Other Punctuation 340
 
5.0%
Other Letter 20
 
0.3%
Close Punctuation 5
 
0.1%
Uppercase Letter 5
 
0.1%
Open Punctuation 5
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 665
13.3%
4 589
11.8%
1 571
11.4%
8 529
10.6%
2 514
10.3%
3 443
8.9%
7 438
8.8%
6 433
8.7%
9 414
8.3%
5 392
7.9%
Other Letter
ValueCountFrequency (%)
5
25.0%
5
25.0%
5
25.0%
5
25.0%
Space Separator
ValueCountFrequency (%)
1470
100.0%
Other Punctuation
ValueCountFrequency (%)
. 340
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
Y 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6810
99.6%
Hangul 20
 
0.3%
Latin 5
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1470
21.6%
0 665
9.8%
4 589
8.6%
1 571
 
8.4%
8 529
 
7.8%
2 514
 
7.5%
3 443
 
6.5%
7 438
 
6.4%
6 433
 
6.4%
9 414
 
6.1%
Other values (5) 744
10.9%
Hangul
ValueCountFrequency (%)
5
25.0%
5
25.0%
5
25.0%
5
25.0%
Latin
ValueCountFrequency (%)
Y 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6815
99.7%
Hangul 20
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1470
21.6%
0 665
9.8%
4 589
8.6%
1 571
 
8.4%
8 529
 
7.8%
2 514
 
7.5%
3 443
 
6.5%
7 438
 
6.4%
6 433
 
6.4%
9 414
 
6.1%
Other values (6) 749
11.0%
Hangul
ValueCountFrequency (%)
5
25.0%
5
25.0%
5
25.0%
5
25.0%

lastmodts
Real number (ℝ)

Distinct292
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0188752 × 1013
Minimum2.0060214 × 1013
Maximum2.0210129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-04-16T13:27:02.512505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0060214 × 1013
5-th percentile2.0140724 × 1013
Q12.0190124 × 1013
median2.0191227 × 1013
Q32.0200729 × 1013
95-th percentile2.0207442 × 1013
Maximum2.0210129 × 1013
Range1.4991502 × 1011
Interquartile range (IQR)1.060498 × 1010

Descriptive statistics

Standard deviation2.2022462 × 1010
Coefficient of variation (CV)0.0010908283
Kurtosis9.916356
Mean2.0188752 × 1013
Median Absolute Deviation (MAD)9.3950001 × 109
Skewness-2.8501699
Sum7.0054971 × 1015
Variance4.8498881 × 1020
MonotonicityNot monotonic
2024-04-16T13:27:02.689137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20190607111715 3
 
0.9%
20191129092919 3
 
0.9%
20200924152811 3
 
0.9%
20200605172910 3
 
0.9%
20200515184036 3
 
0.9%
20200327190246 3
 
0.9%
20200228181121 3
 
0.9%
20200214112527 3
 
0.9%
20200131140827 3
 
0.9%
20201016090155 3
 
0.9%
Other values (282) 317
91.4%
ValueCountFrequency (%)
20060214111919 1
0.3%
20080712111550 1
0.3%
20081212150615 1
0.3%
20081219165853 1
0.3%
20090703154240 1
0.3%
20091019083001 1
0.3%
20111118112025 1
0.3%
20120306134142 1
0.3%
20130219152557 1
0.3%
20130329085224 1
0.3%
ValueCountFrequency (%)
20210129133759 1
 
0.3%
20210129093333 1
 
0.3%
20210128172443 1
 
0.3%
20210122171514 1
 
0.3%
20210122153447 3
0.9%
20210121090919 1
 
0.3%
20210120091459 3
0.9%
20210115181638 2
0.6%
20210114112753 1
 
0.3%
20210111173407 1
 
0.3%

uptaenm
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
업태구분명
201 
<NA>
146 

Length

Max length5
Median length5
Mean length4.5792507
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 (%)
업태구분명 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:02.867995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:02.997706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
업태구분명 201
57.9%
na 146
42.1%

sitetel
Categorical

IMBALANCE 

Distinct31
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
051-123-1234
301 
전화번호
 
8
07077295070
 
3
063-270-6660
 
3
0549795512
 
3
Other values (26)
 
29

Length

Max length13
Median length12
Mean length11.691643
Min length4

Unique

Unique23 ?
Unique (%)6.6%

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 301
86.7%
전화번호 8
 
2.3%
07077295070 3
 
0.9%
063-270-6660 3
 
0.9%
0549795512 3
 
0.9%
0263202411 2
 
0.6%
0624108368 2
 
0.6%
519-4082 2
 
0.6%
630-5200 1
 
0.3%
063-278-7687 1
 
0.3%
Other values (21) 21
 
6.1%

Length

2024-04-16T13:27:03.124584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
051-123-1234 301
86.7%
전화번호 8
 
2.3%
07077295070 3
 
0.9%
063-270-6660 3
 
0.9%
0549795512 3
 
0.9%
0263202411 2
 
0.6%
0624108368 2
 
0.6%
519-4082 2
 
0.6%
02-580-1300 1
 
0.3%
02-2133-2543 1
 
0.3%
Other values (21) 21
 
6.1%

stroomcnt
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
객실수
201 
<NA>
146 

Length

Max length4
Median length3
Mean length3.4207493
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 (%)
객실수 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:03.280724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:03.409021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
객실수 201
57.9%
na 146
42.1%

bdngsrvnm
Categorical

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
건물용도명
104 
근린생활시설
94 
<NA>
79 
문화시설
62 
기타
 
5
Other values (3)
 
3

Length

Max length6
Median length5
Mean length4.8040346
Min length2

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
건물용도명 104
30.0%
근린생활시설 94
27.1%
<NA> 79
22.8%
문화시설 62
17.9%
기타 5
 
1.4%
호텔 1
 
0.3%
단독주택 1
 
0.3%
사무실 1
 
0.3%

Length

2024-04-16T13:27:03.559386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:03.747525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물용도명 104
30.0%
근린생활시설 94
27.1%
na 79
22.8%
문화시설 62
17.9%
기타 5
 
1.4%
호텔 1
 
0.3%
단독주택 1
 
0.3%
사무실 1
 
0.3%

cnstyarea
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
건축연면적
201 
<NA>
146 

Length

Max length5
Median length5
Mean length4.5792507
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 (%)
건축연면적 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:03.907468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:04.030576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건축연면적 201
57.9%
na 146
42.1%

svnsr
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
기념품종류
201 
<NA>
146 

Length

Max length5
Median length5
Mean length4.5792507
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 (%)
기념품종류 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:04.145522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:04.264396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기념품종류 201
57.9%
na 146
42.1%

plninsurstdt
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
기획여행보험시작일자
201 
<NA>
146 

Length

Max length10
Median length10
Mean length7.4755043
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 (%)
기획여행보험시작일자 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:04.410237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:04.525091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기획여행보험시작일자 201
57.9%
na 146
42.1%

plninsurenddt
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
기획여행보험종료일자
201 
<NA>
146 

Length

Max length10
Median length10
Mean length7.4755043
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 (%)
기획여행보험종료일자 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:04.660443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:04.784813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기획여행보험종료일자 201
57.9%
na 146
42.1%

playutscntdtl
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
놀이기구수내역
201 
<NA>
146 

Length

Max length7
Median length7
Mean length5.7377522
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 (%)
놀이기구수내역 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:04.923536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:05.055736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
놀이기구수내역 201
57.9%
na 146
42.1%

playfacilcnt
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
놀이시설수
201 
<NA>
146 

Length

Max length5
Median length5
Mean length4.5792507
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 (%)
놀이시설수 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:05.187365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:05.334552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
놀이시설수 201
57.9%
na 146
42.1%

stagear
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
무대면적
201 
<NA>
146 

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 (%)
무대면적 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:05.451020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:05.574380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무대면적 201
57.9%
na 146
42.1%

culwrkrsenm
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
공연장
336 
문화사업자구분명
 
8
<NA>
 
3

Length

Max length8
Median length3
Mean length3.1239193
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 336
96.8%
문화사업자구분명 8
 
2.3%
<NA> 3
 
0.9%

Length

2024-04-16T13:27:05.699714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:05.835940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 336
96.8%
문화사업자구분명 8
 
2.3%
na 3
 
0.9%

culphyedcobnm
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
공연장
336 
관광공연장업
 
8
관광극장유흥업
 
3

Length

Max length7
Median length3
Mean length3.1037464
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 336
96.8%
관광공연장업 8
 
2.3%
관광극장유흥업 3
 
0.9%

Length

2024-04-16T13:27:06.008474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:06.150332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 336
96.8%
관광공연장업 8
 
2.3%
관광극장유흥업 3
 
0.9%

geicpfacilen
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
201 
<NA>
146 

Length

Max length4
Median length1
Mean length2.2622478
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 (%)
201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:06.284416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:06.397598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201
57.9%
na 146
42.1%

bcfacilen
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
201 
<NA>
146 

Length

Max length4
Median length1
Mean length2.2622478
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 (%)
201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:06.522038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:06.653850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201
57.9%
na 146
42.1%

insurorgnm
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
보험기관명
201 
<NA>
146 

Length

Max length5
Median length5
Mean length4.5792507
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 (%)
보험기관명 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:06.784321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:06.910118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보험기관명 201
57.9%
na 146
42.1%

insurstdt
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
보험시작일자
201 
<NA>
146 

Length

Max length6
Median length6
Mean length5.1585014
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 (%)
보험시작일자 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:07.044008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:07.170549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보험시작일자 201
57.9%
na 146
42.1%

insurenddt
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
보험종료일자
201 
<NA>
146 

Length

Max length6
Median length6
Mean length5.1585014
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 (%)
보험종료일자 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:07.305629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:07.445907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보험종료일자 201
57.9%
na 146
42.1%

afc
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
부대시설내역
201 
<NA>
146 

Length

Max length6
Median length6
Mean length5.1585014
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 (%)
부대시설내역 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:08.052848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:08.189466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부대시설내역 201
57.9%
na 146
42.1%

shpinfo
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
선박제원
201 
<NA>
146 

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 (%)
선박제원 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:08.322064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:08.435230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
선박제원 201
57.9%
na 146
42.1%

shpcnt
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
선박척수
201 
<NA>
146 

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 (%)
선박척수 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:08.554962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:08.694112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
선박척수 201
57.9%
na 146
42.1%

shptottons
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
선박총톤수
201 
<NA>
146 

Length

Max length5
Median length5
Mean length4.5792507
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 (%)
선박총톤수 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:08.818229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:08.942076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
선박총톤수 201
57.9%
na 146
42.1%

facilscp
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
시설규모
193 
<NA>
144 
287
 
3
0
 
2
90
 
1
Other values (4)
 
4

Length

Max length4
Median length4
Mean length3.9596542
Min length1

Unique

Unique5 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
시설규모 193
55.6%
<NA> 144
41.5%
287 3
 
0.9%
0 2
 
0.6%
90 1
 
0.3%
947 1
 
0.3%
1165 1
 
0.3%
96 1
 
0.3%
1264 1
 
0.3%

Length

2024-04-16T13:27:09.094957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:09.266137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시설규모 193
55.6%
na 144
41.5%
287 3
 
0.9%
0 2
 
0.6%
90 1
 
0.3%
947 1
 
0.3%
1165 1
 
0.3%
96 1
 
0.3%
1264 1
 
0.3%

facilar
Categorical

IMBALANCE 

Distinct9
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
시설면적
193 
<NA>
144 
287.3
 
3
0
 
2
90
 
1
Other values (4)
 
4

Length

Max length7
Median length4
Mean length4.0086455
Min length1

Unique

Unique5 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
시설면적 193
55.6%
<NA> 144
41.5%
287.3 3
 
0.9%
0 2
 
0.6%
90 1
 
0.3%
946.72 1
 
0.3%
1165.12 1
 
0.3%
95.9 1
 
0.3%
1263.84 1
 
0.3%

Length

2024-04-16T13:27:09.452080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:09.612934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시설면적 193
55.6%
na 144
41.5%
287.3 3
 
0.9%
0 2
 
0.6%
90 1
 
0.3%
946.72 1
 
0.3%
1165.12 1
 
0.3%
95.9 1
 
0.3%
1263.84 1
 
0.3%

infoben
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
201 
<NA>
146 

Length

Max length4
Median length1
Mean length2.2622478
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 (%)
201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:09.779470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:09.916705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201
57.9%
na 146
42.1%

engstntrnmnm
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
영문상호명
201 
<NA>
146 

Length

Max length5
Median length5
Mean length4.5792507
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 (%)
영문상호명 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:10.033737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:10.142611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영문상호명 201
57.9%
na 146
42.1%

engstntrnmaddr
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
영문상호주소
201 
<NA>
146 

Length

Max length6
Median length6
Mean length5.1585014
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 (%)
영문상호주소 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:10.269773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:10.395793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영문상호주소 201
57.9%
na 146
42.1%

dispenen
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
201 
<NA>
146 

Length

Max length4
Median length1
Mean length2.2622478
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 (%)
201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:10.528035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:10.654947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201
57.9%
na 146
42.1%

capt
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
자본금
198 
<NA>
145 
300000000
 
3
120000000
 
1

Length

Max length9
Median length3
Mean length3.4870317
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
자본금 198
57.1%
<NA> 145
41.8%
300000000 3
 
0.9%
120000000 1
 
0.3%

Length

2024-04-16T13:27:10.789338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:10.925020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자본금 198
57.1%
na 145
41.8%
300000000 3
 
0.9%
120000000 1
 
0.3%

mnfactreartclcn
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
제작취급품목내용
201 
<NA>
146 

Length

Max length8
Median length8
Mean length6.3170029
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 (%)
제작취급품목내용 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:11.061356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:11.188520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제작취급품목내용 201
57.9%
na 146
42.1%

chaircnt
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
좌석수
201 
<NA>
146 

Length

Max length4
Median length3
Mean length3.4207493
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 (%)
좌석수 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:11.304706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:11.426196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
좌석수 201
57.9%
na 146
42.1%

nearenvnm
Categorical

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
주변환경명
156 
<NA>
115 
기타
46 
주택가주변
 
12
아파트지역
 
11
Other values (2)
 
7

Length

Max length8
Median length5
Mean length4.3314121
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
주변환경명 156
45.0%
<NA> 115
33.1%
기타 46
 
13.3%
주택가주변 12
 
3.5%
아파트지역 11
 
3.2%
학교정화(상대) 6
 
1.7%
유흥업소밀집지역 1
 
0.3%

Length

2024-04-16T13:27:11.554466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:11.716249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주변환경명 156
45.0%
na 115
33.1%
기타 46
 
13.3%
주택가주변 12
 
3.5%
아파트지역 11
 
3.2%
학교정화(상대 6
 
1.7%
유흥업소밀집지역 1
 
0.3%

jisgnumlay
Categorical

Distinct16
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
지상층수
123 
<NA>
82 
3
33 
2
32 
4
18 
Other values (11)
59 

Length

Max length4
Median length4
Mean length2.7982709
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
지상층수 123
35.4%
<NA> 82
23.6%
3 33
 
9.5%
2 32
 
9.2%
4 18
 
5.2%
5 17
 
4.9%
1 15
 
4.3%
6 6
 
1.7%
7 5
 
1.4%
8 4
 
1.2%
Other values (6) 12
 
3.5%

Length

2024-04-16T13:27:11.890845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지상층수 123
35.4%
na 82
23.6%
3 33
 
9.5%
2 32
 
9.2%
4 18
 
5.2%
5 17
 
4.9%
1 15
 
4.3%
6 6
 
1.7%
7 5
 
1.4%
8 4
 
1.2%
Other values (6) 12
 
3.5%

regnsenm
Categorical

Distinct16
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
지역구분명
150 
<NA>
116 
일반상업지역
18 
자연녹지지역
18 
일반주거지역
 
15
Other values (11)
30 

Length

Max length6
Median length5
Mean length4.8299712
Min length4

Unique

Unique4 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
지역구분명 150
43.2%
<NA> 116
33.4%
일반상업지역 18
 
5.2%
자연녹지지역 18
 
5.2%
일반주거지역 15
 
4.3%
근린상업지역 7
 
2.0%
준주거지역 5
 
1.4%
주거지역 4
 
1.2%
중심상업지역 3
 
0.9%
준공업지역 3
 
0.9%
Other values (6) 8
 
2.3%

Length

2024-04-16T13:27:12.042101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지역구분명 150
43.2%
na 116
33.4%
일반상업지역 18
 
5.2%
자연녹지지역 18
 
5.2%
일반주거지역 15
 
4.3%
근린상업지역 7
 
2.0%
준주거지역 5
 
1.4%
주거지역 4
 
1.2%
중심상업지역 3
 
0.9%
준공업지역 3
 
0.9%
Other values (6) 8
 
2.3%

undernumlay
Categorical

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
지하층수
134 
1
91 
<NA>
87 
2
 
12
0
 
11
Other values (3)
 
12

Length

Max length4
Median length4
Mean length2.9106628
Min length1

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
지하층수 134
38.6%
1 91
26.2%
<NA> 87
25.1%
2 12
 
3.5%
0 11
 
3.2%
3 10
 
2.9%
5 1
 
0.3%
4 1
 
0.3%

Length

2024-04-16T13:27:12.199573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:12.339484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하층수 134
38.6%
1 91
26.2%
na 87
25.1%
2 12
 
3.5%
0 11
 
3.2%
3 10
 
2.9%
5 1
 
0.3%
4 1
 
0.3%

totnumlay
Categorical

Distinct17
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
총층수
125 
<NA>
91 
1
29 
3
24 
5
17 
Other values (12)
61 

Length

Max length4
Median length3
Mean length2.5302594
Min length1

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
총층수 125
36.0%
<NA> 91
26.2%
1 29
 
8.4%
3 24
 
6.9%
5 17
 
4.9%
2 15
 
4.3%
4 12
 
3.5%
7 8
 
2.3%
6 8
 
2.3%
9 5
 
1.4%
Other values (7) 13
 
3.7%

Length

2024-04-16T13:27:12.491428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
총층수 125
36.0%
na 91
26.2%
1 29
 
8.4%
3 24
 
6.9%
5 17
 
4.9%
2 15
 
4.3%
4 12
 
3.5%
6 8
 
2.3%
7 8
 
2.3%
9 5
 
1.4%
Other values (7) 13
 
3.7%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
회의실별동시수용인원
201 
<NA>
146 

Length

Max length10
Median length10
Mean length7.4755043
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 (%)
회의실별동시수용인원 201
57.9%
<NA> 146
42.1%

Length

2024-04-16T13:27:12.638998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:27:12.762381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회의실별동시수용인원 201
57.9%
na 146
42.1%

last_load_dttm
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2021-02-01 05:23:03
Maximum2021-02-01 05:23:03
2024-04-16T13:27:12.856410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:27:12.962565image/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>13영업중384984.97497400000180571.6253240000020120306134142<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>2021-02-01 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>13영업중384900.78255800000181145.9270220000020150415173343<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>2021-02-01 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>13영업중385150.10675900000179929.3322410000020150617095636<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>2021-02-01 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>13영업중385150.10675900000179929.3322410000020150617092621<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>2021-02-01 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>13영업중385314.95814000000179888.7646780000020180413110053<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>2021-02-01 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>03폐업385449.14743100000179896.6675180000020170512092539<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>2021-02-01 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>13영업중385314.95814000000179888.7646780000020180413110026<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>2021-02-01 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>13영업중384900.78255800000181145.9270220000020150415173531<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>2021-02-01 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/정상영업중388143.823411216184140.57826785520201012145442<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>2021-02-01 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/정상영업중388143.823411216184140.57826785520201231134615<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>2021-02-01 05:23:03
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelstroomcntbdngsrvnmcnstyareasvnsrplninsurstdtplninsurenddtplayutscntdtlplayfacilcntstagearculwrkrsenmculphyedcobnmgeicpfacilenbcfacileninsurorgnminsurstdtinsurenddtafcshpinfoshpcntshptottonsfacilscpfacilarinfobenengstntrnmnmengstntrnmaddrdispenencaptmnfactreartclcnchaircntnearenvnmjisgnumlayregnsenmundernumlaytotnumlaymeetsamtimesygstflast_load_dttm
3373393000000CDFE123000202000001003_06_01_PI2020-12-17 00:23:06.0공연장NC문화재단 Hall지번우편번호서울특별시 종로구 동숭동 187-8 NC문화재단3088서울특별시 종로구 이화장길 100, NC문화재단 지하1층 (동숭동)20201215폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중200342.408788786453056.00781375120201215131140업태구분명0263202411객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적공연장공연장보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수시설규모시설면적영문상호명영문상호주소자본금제작취급품목내용좌석수주변환경명지상층수지역구분명지하층수총층수회의실별동시수용인원2021-02-01 05:23:03
3383403000000CDFE123000202000001003_06_01_PI2020-12-17 00:23:06.0공연장NC문화재단 Hall지번우편번호서울특별시 종로구 동숭동 187-8 NC문화재단3088서울특별시 종로구 이화장길 100, NC문화재단 지하1층 (동숭동)20201215폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중200342.408788786453056.00781375120201215131140업태구분명0263202411객실수건물용도명건축연면적기념품종류기획여행보험시작일자기획여행보험종료일자놀이기구수내역놀이시설수무대면적공연장공연장보험기관명보험시작일자보험종료일자부대시설내역선박제원선박척수선박총톤수시설규모시설면적영문상호명영문상호주소자본금제작취급품목내용좌석수주변환경명지상층수지역구분명지하층수총층수회의실별동시수용인원2021-02-01 05:23:03
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