Overview

Dataset statistics

Number of variables56
Number of observations448
Missing cells33
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory199.2 KiB
Average record size in memory455.3 B

Variable types

Numeric7
Text5
Categorical43
DateTime1

Alerts

last_load_dttm has constant value ""Constant
sitepostno is highly imbalanced (74.2%)Imbalance
dcbymd is highly imbalanced (63.5%)Imbalance
dtlstatenm is highly imbalanced (65.0%)Imbalance
sitetel is highly imbalanced (53.7%)Imbalance
noroomcnt is highly imbalanced (50.5%)Imbalance
facilar is highly imbalanced (65.2%)Imbalance
lghtfacilinillu is highly imbalanced (50.5%)Imbalance
regnsenm is highly imbalanced (52.8%)Imbalance
bgroomcnt is highly imbalanced (50.5%)Imbalance
totgasyscnt is highly imbalanced (50.5%)Imbalance
rdnpostno has 15 (3.3%) missing valuesMissing
rdnwhladdr has 6 (1.3%) missing valuesMissing
x has 6 (1.3%) missing valuesMissing
y has 6 (1.3%) missing valuesMissing
skey has unique valuesUnique

Reproduction

Analysis started2024-04-16 11:39:48.430812
Analysis finished2024-04-16 11:39:49.163485
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct448
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean824.52902
Minimum1
Maximum3055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-16T20:39:49.221938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23.35
Q1112.75
median224.5
Q31463.5
95-th percentile3032.65
Maximum3055
Range3054
Interquartile range (IQR)1350.75

Descriptive statistics

Standard deviation1031.424
Coefficient of variation (CV)1.250925
Kurtosis-0.12885015
Mean824.52902
Median Absolute Deviation (MAD)172
Skewness1.1825934
Sum369389
Variance1063835.4
MonotonicityNot monotonic
2024-04-16T20:39:49.329319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
226 1
 
0.2%
830 1
 
0.2%
810 1
 
0.2%
809 1
 
0.2%
808 1
 
0.2%
806 1
 
0.2%
804 1
 
0.2%
801 1
 
0.2%
799 1
 
0.2%
Other values (438) 438
97.8%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
3055 1
0.2%
3054 1
0.2%
3053 1
0.2%
3052 1
0.2%
3051 1
0.2%
3050 1
0.2%
3049 1
0.2%
3048 1
0.2%
3047 1
0.2%
3046 1
0.2%

opnsfteamcode
Real number (ℝ)

Distinct15
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3319508.9
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-16T20:39:49.433478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3250000
5-th percentile3250000
Q13290000
median3330000
Q33340000
95-th percentile3400000
Maximum3400000
Range150000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation41165.676
Coefficient of variation (CV)0.012401134
Kurtosis-0.46931534
Mean3319508.9
Median Absolute Deviation (MAD)30000
Skewness0.10733343
Sum1.48714 × 109
Variance1.6946129 × 109
MonotonicityNot monotonic
2024-04-16T20:39:49.540073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3330000 122
27.2%
3290000 77
17.2%
3250000 56
12.5%
3300000 29
 
6.5%
3350000 26
 
5.8%
3400000 26
 
5.8%
3320000 22
 
4.9%
3310000 20
 
4.5%
3380000 18
 
4.0%
3390000 15
 
3.3%
Other values (5) 37
 
8.3%
ValueCountFrequency (%)
3250000 56
12.5%
3260000 1
 
0.2%
3270000 7
 
1.6%
3290000 77
17.2%
3300000 29
 
6.5%
3310000 20
 
4.5%
3320000 22
 
4.9%
3330000 122
27.2%
3340000 13
 
2.9%
3350000 26
 
5.8%
ValueCountFrequency (%)
3400000 26
 
5.8%
3390000 15
 
3.3%
3380000 18
 
4.0%
3370000 9
 
2.0%
3360000 7
 
1.6%
3350000 26
 
5.8%
3340000 13
 
2.9%
3330000 122
27.2%
3320000 22
 
4.9%
3310000 20
 
4.5%

mgtno
Text

Distinct241
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-04-16T20:39:49.745334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters8960
Distinct characters13
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

Unique146 ?
Unique (%)32.6%

Sample

1st rowCDFF4220002005000001
2nd rowCDFF4220002017000003
3rd rowCDFF4220002017000006
4th rowCDFF4220002017000005
5th rowCDFF4220001982000001
ValueCountFrequency (%)
cdff5211012020000001 18
 
4.0%
cdff5211012019000001 12
 
2.7%
cdff5211012021000001 10
 
2.2%
cdff5211012020000002 9
 
2.0%
cdff5211032020000001 8
 
1.8%
cdff5211042021000001 8
 
1.8%
cdff5211032019000001 8
 
1.8%
cdff5211042019000001 6
 
1.3%
cdff5211012021000002 5
 
1.1%
cdff5211032021000001 4
 
0.9%
Other values (231) 360
80.4%
2024-04-16T20:39:50.042813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3935
43.9%
2 1365
 
15.2%
F 896
 
10.0%
1 844
 
9.4%
C 448
 
5.0%
D 448
 
5.0%
4 379
 
4.2%
5 222
 
2.5%
9 132
 
1.5%
3 86
 
1.0%
Other values (3) 205
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7168
80.0%
Uppercase Letter 1792
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3935
54.9%
2 1365
 
19.0%
1 844
 
11.8%
4 379
 
5.3%
5 222
 
3.1%
9 132
 
1.8%
3 86
 
1.2%
7 84
 
1.2%
6 63
 
0.9%
8 58
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 896
50.0%
C 448
25.0%
D 448
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7168
80.0%
Latin 1792
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3935
54.9%
2 1365
 
19.0%
1 844
 
11.8%
4 379
 
5.3%
5 222
 
3.1%
9 132
 
1.8%
3 86
 
1.2%
7 84
 
1.2%
6 63
 
0.9%
8 58
 
0.8%
Latin
ValueCountFrequency (%)
F 896
50.0%
C 448
25.0%
D 448
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3935
43.9%
2 1365
 
15.2%
F 896
 
10.0%
1 844
 
9.4%
C 448
 
5.0%
D 448
 
5.0%
4 379
 
4.2%
5 222
 
2.5%
9 132
 
1.5%
3 86
 
1.0%
Other values (3) 205
 
2.3%

opnsvcid
Categorical

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
03_13_02_P
290 
03_13_05_P
100 
03_13_01_P
 
29
03_13_03_P
 
21
03_13_04_P
 
8

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_13_02_P
2nd row03_13_02_P
3rd row03_13_02_P
4th row03_13_02_P
5th row03_13_02_P

Common Values

ValueCountFrequency (%)
03_13_02_P 290
64.7%
03_13_05_P 100
 
22.3%
03_13_01_P 29
 
6.5%
03_13_03_P 21
 
4.7%
03_13_04_P 8
 
1.8%

Length

2024-04-16T20:39:50.182195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:50.283812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_13_02_p 290
64.7%
03_13_05_p 100
 
22.3%
03_13_01_p 29
 
6.5%
03_13_03_p 21
 
4.7%
03_13_04_p 8
 
1.8%

updategbn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
I
296 
U
152 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 296
66.1%
U 152
33.9%

Length

2024-04-16T20:39:50.387681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:50.483261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 296
66.1%
u 152
33.9%
Distinct106
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
Minimum2018-08-31 23:59:59
Maximum2021-08-28 00:22:50
2024-04-16T20:39:50.578376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:39:50.697014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

opnsvcnm
Categorical

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
171 
영화상영관
119 
영화제작업
100 
영화배급업
29 
영화상영업
21 

Length

Max length5
Median length5
Mean length4.6183036
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 171
38.2%
영화상영관 119
26.6%
영화제작업 100
22.3%
영화배급업 29
 
6.5%
영화상영업 21
 
4.7%
영화수입업 8
 
1.8%

Length

2024-04-16T20:39:50.802169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:50.915987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 171
38.2%
영화상영관 119
26.6%
영화제작업 100
22.3%
영화배급업 29
 
6.5%
영화상영업 21
 
4.7%
영화수입업 8
 
1.8%

bplcnm
Text

Distinct375
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-04-16T20:39:51.121945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length10.921875
Min length2

Characters and Unicode

Total characters4893
Distinct characters255
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

Unique341 ?
Unique (%)76.1%

Sample

1st row국도극장 예술관
2nd row롯데시네마 대영 제3관
3rd row롯데시네마 대영 제6관
4th row롯데시네마 대영 제5관
5th row메가박스 부산극장 1관
ValueCountFrequency (%)
롯데시네마 92
 
9.3%
메가박스 48
 
4.9%
cgv 41
 
4.1%
주식회사 36
 
3.6%
해운대 26
 
2.6%
서면 20
 
2.0%
센텀시티 19
 
1.9%
6관 15
 
1.5%
제3관 15
 
1.5%
정관 15
 
1.5%
Other values (235) 662
66.9%
2024-04-16T20:39:51.436962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
543
 
11.1%
317
 
6.5%
163
 
3.3%
147
 
3.0%
144
 
2.9%
130
 
2.7%
115
 
2.4%
108
 
2.2%
107
 
2.2%
C 105
 
2.1%
Other values (245) 3014
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3433
70.2%
Space Separator 543
 
11.1%
Uppercase Letter 419
 
8.6%
Decimal Number 273
 
5.6%
Close Punctuation 96
 
2.0%
Open Punctuation 96
 
2.0%
Lowercase Letter 20
 
0.4%
Other Punctuation 12
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
317
 
9.2%
163
 
4.7%
147
 
4.3%
144
 
4.2%
130
 
3.8%
115
 
3.3%
108
 
3.1%
107
 
3.1%
98
 
2.9%
80
 
2.3%
Other values (198) 2024
59.0%
Uppercase Letter
ValueCountFrequency (%)
C 105
25.1%
G 83
19.8%
V 82
19.6%
N 24
 
5.7%
E 13
 
3.1%
O 12
 
2.9%
I 11
 
2.6%
U 10
 
2.4%
M 10
 
2.4%
A 9
 
2.1%
Other values (12) 60
14.3%
Decimal Number
ValueCountFrequency (%)
1 44
16.1%
2 38
13.9%
4 36
13.2%
3 32
11.7%
6 31
11.4%
5 30
11.0%
7 25
9.2%
8 16
 
5.9%
9 15
 
5.5%
0 6
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
o 7
35.0%
d 5
25.0%
t 4
20.0%
i 1
 
5.0%
l 1
 
5.0%
m 1
 
5.0%
s 1
 
5.0%
Close Punctuation
ValueCountFrequency (%)
) 95
99.0%
] 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 95
99.0%
[ 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 8
66.7%
, 4
33.3%
Space Separator
ValueCountFrequency (%)
543
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3433
70.2%
Common 1021
 
20.9%
Latin 439
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
317
 
9.2%
163
 
4.7%
147
 
4.3%
144
 
4.2%
130
 
3.8%
115
 
3.3%
108
 
3.1%
107
 
3.1%
98
 
2.9%
80
 
2.3%
Other values (198) 2024
59.0%
Latin
ValueCountFrequency (%)
C 105
23.9%
G 83
18.9%
V 82
18.7%
N 24
 
5.5%
E 13
 
3.0%
O 12
 
2.7%
I 11
 
2.5%
U 10
 
2.3%
M 10
 
2.3%
A 9
 
2.1%
Other values (19) 80
18.2%
Common
ValueCountFrequency (%)
543
53.2%
) 95
 
9.3%
( 95
 
9.3%
1 44
 
4.3%
2 38
 
3.7%
4 36
 
3.5%
3 32
 
3.1%
6 31
 
3.0%
5 30
 
2.9%
7 25
 
2.4%
Other values (8) 52
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3433
70.2%
ASCII 1460
29.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
543
37.2%
C 105
 
7.2%
) 95
 
6.5%
( 95
 
6.5%
G 83
 
5.7%
V 82
 
5.6%
1 44
 
3.0%
2 38
 
2.6%
4 36
 
2.5%
3 32
 
2.2%
Other values (37) 307
21.0%
Hangul
ValueCountFrequency (%)
317
 
9.2%
163
 
4.7%
147
 
4.3%
144
 
4.2%
130
 
3.8%
115
 
3.3%
108
 
3.1%
107
 
3.1%
98
 
2.9%
80
 
2.3%
Other values (198) 2024
59.0%

sitepostno
Categorical

IMBALANCE 

Distinct16
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
363 
지번우편번호
63 
614845
 
4
600805
 
3
601060
 
3
Other values (11)
 
12

Length

Max length6
Median length4
Mean length4.3794643
Min length4

Unique

Unique10 ?
Unique (%)2.2%

Sample

1st row600805
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 363
81.0%
지번우편번호 63
 
14.1%
614845 4
 
0.9%
600805 3
 
0.7%
601060 3
 
0.7%
600046 2
 
0.4%
600807 1
 
0.2%
600801 1
 
0.2%
600045 1
 
0.2%
614847 1
 
0.2%
Other values (6) 6
 
1.3%

Length

2024-04-16T20:39:51.558070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 363
81.0%
지번우편번호 63
 
14.1%
614845 4
 
0.9%
600805 3
 
0.7%
601060 3
 
0.7%
600046 2
 
0.4%
600807 1
 
0.2%
600801 1
 
0.2%
600045 1
 
0.2%
614847 1
 
0.2%
Other values (6) 6
 
1.3%
Distinct146
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2024-04-16T20:39:51.831275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length39
Mean length26.984375
Min length18

Characters and Unicode

Total characters12089
Distinct characters240
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

Unique70 ?
Unique (%)15.6%

Sample

1st row부산광역시 중구 부평동1가 45-9번지
2nd row부산광역시 중구 남포동5가 12-1번지
3rd row부산광역시 중구 남포동5가 12-1번지
4th row부산광역시 중구 남포동5가 12-1번지
5th row부산광역시 중구 남포동5가 18-1번지
ValueCountFrequency (%)
부산광역시 448
 
20.1%
해운대구 122
 
5.5%
우동 92
 
4.1%
부산진구 77
 
3.5%
중구 56
 
2.5%
부전동 47
 
2.1%
동래구 29
 
1.3%
전포동 27
 
1.2%
기장군 26
 
1.2%
금정구 26
 
1.2%
Other values (321) 1276
57.3%
2024-04-16T20:39:52.221574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2180
 
18.0%
615
 
5.1%
576
 
4.8%
487
 
4.0%
484
 
4.0%
1 477
 
3.9%
452
 
3.7%
448
 
3.7%
423
 
3.5%
- 376
 
3.1%
Other values (230) 5571
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7067
58.5%
Decimal Number 2191
 
18.1%
Space Separator 2180
 
18.0%
Dash Punctuation 376
 
3.1%
Uppercase Letter 132
 
1.1%
Other Punctuation 98
 
0.8%
Lowercase Letter 15
 
0.1%
Open Punctuation 12
 
0.1%
Close Punctuation 12
 
0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
615
 
8.7%
576
 
8.2%
487
 
6.9%
484
 
6.8%
452
 
6.4%
448
 
6.3%
423
 
6.0%
299
 
4.2%
278
 
3.9%
163
 
2.3%
Other values (194) 2842
40.2%
Uppercase Letter
ValueCountFrequency (%)
K 29
22.0%
S 19
14.4%
T 15
11.4%
B 11
 
8.3%
H 10
 
7.6%
G 10
 
7.6%
C 10
 
7.6%
U 10
 
7.6%
Y 9
 
6.8%
N 8
 
6.1%
Decimal Number
ValueCountFrequency (%)
1 477
21.8%
2 314
14.3%
6 229
10.5%
5 221
10.1%
4 201
9.2%
0 183
 
8.4%
7 158
 
7.2%
8 158
 
7.2%
3 135
 
6.2%
9 115
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 5
33.3%
o 3
20.0%
r 2
 
13.3%
h 2
 
13.3%
v 1
 
6.7%
i 1
 
6.7%
l 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 71
72.4%
, 18
 
18.4%
& 9
 
9.2%
Space Separator
ValueCountFrequency (%)
2180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 376
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7067
58.5%
Common 4875
40.3%
Latin 147
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
615
 
8.7%
576
 
8.2%
487
 
6.9%
484
 
6.8%
452
 
6.4%
448
 
6.3%
423
 
6.0%
299
 
4.2%
278
 
3.9%
163
 
2.3%
Other values (194) 2842
40.2%
Common
ValueCountFrequency (%)
2180
44.7%
1 477
 
9.8%
- 376
 
7.7%
2 314
 
6.4%
6 229
 
4.7%
5 221
 
4.5%
4 201
 
4.1%
0 183
 
3.8%
7 158
 
3.2%
8 158
 
3.2%
Other values (8) 378
 
7.8%
Latin
ValueCountFrequency (%)
K 29
19.7%
S 19
12.9%
T 15
10.2%
B 11
 
7.5%
H 10
 
6.8%
G 10
 
6.8%
C 10
 
6.8%
U 10
 
6.8%
Y 9
 
6.1%
N 8
 
5.4%
Other values (8) 16
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7067
58.5%
ASCII 5022
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2180
43.4%
1 477
 
9.5%
- 376
 
7.5%
2 314
 
6.3%
6 229
 
4.6%
5 221
 
4.4%
4 201
 
4.0%
0 183
 
3.6%
7 158
 
3.1%
8 158
 
3.1%
Other values (26) 525
 
10.5%
Hangul
ValueCountFrequency (%)
615
 
8.7%
576
 
8.2%
487
 
6.9%
484
 
6.8%
452
 
6.4%
448
 
6.3%
423
 
6.0%
299
 
4.2%
278
 
3.9%
163
 
2.3%
Other values (194) 2842
40.2%

rdnpostno
Text

MISSING 

Distinct85
Distinct (%)19.6%
Missing15
Missing (%)3.3%
Memory size3.6 KiB
2024-04-16T20:39:52.445973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0046189
Min length5

Characters and Unicode

Total characters2167
Distinct characters17
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

Unique38 ?
Unique (%)8.8%

Sample

1st row48947
2nd row48953
3rd row48953
4th row48953
5th row48947
ValueCountFrequency (%)
48947 60
 
13.9%
48058 42
 
9.7%
48953 20
 
4.6%
48059 17
 
3.9%
47296 16
 
3.7%
47299 12
 
2.8%
48944 11
 
2.5%
47285 11
 
2.5%
48948 10
 
2.3%
47710 10
 
2.3%
Other values (75) 224
51.7%
2024-04-16T20:39:52.794701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 577
26.6%
8 368
17.0%
9 244
11.3%
7 231
10.7%
5 160
 
7.4%
0 151
 
7.0%
2 139
 
6.4%
6 129
 
6.0%
1 86
 
4.0%
3 75
 
3.5%
Other values (7) 7
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2160
99.7%
Other Letter 7
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 577
26.7%
8 368
17.0%
9 244
11.3%
7 231
10.7%
5 160
 
7.4%
0 151
 
7.0%
2 139
 
6.4%
6 129
 
6.0%
1 86
 
4.0%
3 75
 
3.5%
Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Common 2160
99.7%
Hangul 7
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
4 577
26.7%
8 368
17.0%
9 244
11.3%
7 231
10.7%
5 160
 
7.4%
0 151
 
7.0%
2 139
 
6.4%
6 129
 
6.0%
1 86
 
4.0%
3 75
 
3.5%
Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2160
99.7%
Hangul 7
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 577
26.7%
8 368
17.0%
9 244
11.3%
7 231
10.7%
5 160
 
7.4%
0 151
 
7.0%
2 139
 
6.4%
6 129
 
6.0%
1 86
 
4.0%
3 75
 
3.5%
Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

rdnwhladdr
Text

MISSING 

Distinct148
Distinct (%)33.5%
Missing6
Missing (%)1.3%
Memory size3.6 KiB
2024-04-16T20:39:53.045228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length32.837104
Min length22

Characters and Unicode

Total characters14514
Distinct characters274
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

Unique74 ?
Unique (%)16.7%

Sample

1st row부산광역시 중구 중구로 13 (부평동1가)
2nd row부산광역시 중구 비프광장로 37, 6층 (남포동5가)
3rd row부산광역시 중구 비프광장로 37, 6층 (남포동5가)
4th row부산광역시 중구 비프광장로 37, 6층 (남포동5가)
5th row부산광역시 중구 비프광장로 36 (남포동5가)
ValueCountFrequency (%)
부산광역시 442
 
15.7%
해운대구 122
 
4.3%
우동 82
 
2.9%
부산진구 77
 
2.7%
중구 53
 
1.9%
중앙대로 52
 
1.9%
부전동 47
 
1.7%
해운대로 44
 
1.6%
6층 35
 
1.2%
39 34
 
1.2%
Other values (408) 1819
64.8%
2024-04-16T20:39:53.639343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2390
 
16.5%
628
 
4.3%
583
 
4.0%
553
 
3.8%
493
 
3.4%
492
 
3.4%
442
 
3.0%
441
 
3.0%
) 432
 
3.0%
( 432
 
3.0%
Other values (264) 7628
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8643
59.5%
Space Separator 2390
 
16.5%
Decimal Number 1932
 
13.3%
Other Punctuation 500
 
3.4%
Close Punctuation 435
 
3.0%
Open Punctuation 435
 
3.0%
Uppercase Letter 137
 
0.9%
Dash Punctuation 20
 
0.1%
Lowercase Letter 16
 
0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
628
 
7.3%
583
 
6.7%
553
 
6.4%
493
 
5.7%
492
 
5.7%
442
 
5.1%
441
 
5.1%
424
 
4.9%
362
 
4.2%
195
 
2.3%
Other values (223) 4030
46.6%
Uppercase Letter
ValueCountFrequency (%)
K 29
21.2%
S 19
13.9%
T 15
10.9%
B 12
8.8%
C 10
 
7.3%
H 10
 
7.3%
U 10
 
7.3%
G 9
 
6.6%
Y 9
 
6.6%
N 7
 
5.1%
Other values (3) 7
 
5.1%
Decimal Number
ValueCountFrequency (%)
1 369
19.1%
2 268
13.9%
0 219
11.3%
3 207
10.7%
6 178
9.2%
5 163
8.4%
7 158
8.2%
4 154
8.0%
9 122
 
6.3%
8 94
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
e 5
31.2%
o 3
18.8%
h 2
 
12.5%
r 2
 
12.5%
i 1
 
6.2%
v 1
 
6.2%
l 1
 
6.2%
p 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 384
76.8%
* 107
 
21.4%
& 9
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 432
99.3%
] 3
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 432
99.3%
[ 3
 
0.7%
Space Separator
ValueCountFrequency (%)
2390
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8643
59.5%
Common 5718
39.4%
Latin 153
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
628
 
7.3%
583
 
6.7%
553
 
6.4%
493
 
5.7%
492
 
5.7%
442
 
5.1%
441
 
5.1%
424
 
4.9%
362
 
4.2%
195
 
2.3%
Other values (223) 4030
46.6%
Latin
ValueCountFrequency (%)
K 29
19.0%
S 19
12.4%
T 15
9.8%
B 12
7.8%
C 10
 
6.5%
H 10
 
6.5%
U 10
 
6.5%
G 9
 
5.9%
Y 9
 
5.9%
N 7
 
4.6%
Other values (11) 23
15.0%
Common
ValueCountFrequency (%)
2390
41.8%
) 432
 
7.6%
( 432
 
7.6%
, 384
 
6.7%
1 369
 
6.5%
2 268
 
4.7%
0 219
 
3.8%
3 207
 
3.6%
6 178
 
3.1%
5 163
 
2.9%
Other values (10) 676
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8643
59.5%
ASCII 5871
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2390
40.7%
) 432
 
7.4%
( 432
 
7.4%
, 384
 
6.5%
1 369
 
6.3%
2 268
 
4.6%
0 219
 
3.7%
3 207
 
3.5%
6 178
 
3.0%
5 163
 
2.8%
Other values (31) 829
 
14.1%
Hangul
ValueCountFrequency (%)
628
 
7.3%
583
 
6.7%
553
 
6.4%
493
 
5.7%
492
 
5.7%
442
 
5.1%
441
 
5.1%
424
 
4.9%
362
 
4.2%
195
 
2.3%
Other values (223) 4030
46.6%

apvpermymd
Real number (ℝ)

Distinct148
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20113406
Minimum19451015
Maximum20210826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-16T20:39:53.766346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19451015
5-th percentile20000529
Q120050307
median20130507
Q320190702
95-th percentile20210518
Maximum20210826
Range759811
Interquartile range (IQR)140395

Descriptive statistics

Standard deviation89858.646
Coefficient of variation (CV)0.0044675996
Kurtosis8.5065134
Mean20113406
Median Absolute Deviation (MAD)69596
Skewness-1.7341521
Sum9.010806 × 109
Variance8.0745763 × 109
MonotonicityNot monotonic
2024-04-16T20:39:53.900740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000529 12
 
2.7%
20190315 12
 
2.7%
20010609 11
 
2.5%
20140822 11
 
2.5%
20021112 10
 
2.2%
20090302 10
 
2.2%
20071204 10
 
2.2%
20050307 10
 
2.2%
20210615 10
 
2.2%
20200103 9
 
2.0%
Other values (138) 343
76.6%
ValueCountFrequency (%)
19451015 1
0.2%
19591023 1
0.2%
19690925 1
0.2%
19820125 1
0.2%
19910826 1
0.2%
19930814 2
0.4%
19970308 1
0.2%
19980307 1
0.2%
19980319 1
0.2%
19980623 1
0.2%
ValueCountFrequency (%)
20210826 1
 
0.2%
20210806 2
 
0.4%
20210802 1
 
0.2%
20210722 1
 
0.2%
20210709 2
 
0.4%
20210707 1
 
0.2%
20210630 1
 
0.2%
20210615 10
2.2%
20210608 1
 
0.2%
20210527 1
 
0.2%

dcbymd
Categorical

IMBALANCE 

Distinct32
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
317 
폐업일자
62 
20170315
 
10
20110616
 
8
20160617
 
8
Other values (27)
43 

Length

Max length8
Median length4
Mean length4.6160714
Min length4

Unique

Unique21 ?
Unique (%)4.7%

Sample

1st row20080501
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 317
70.8%
폐업일자 62
 
13.8%
20170315 10
 
2.2%
20110616 8
 
1.8%
20160617 8
 
1.8%
20100806 7
 
1.6%
20001201 4
 
0.9%
20210806 3
 
0.7%
20200921 3
 
0.7%
20070725 3
 
0.7%
Other values (22) 23
 
5.1%

Length

2024-04-16T20:39:54.044539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 317
70.8%
폐업일자 62
 
13.8%
20170315 10
 
2.2%
20110616 8
 
1.8%
20160617 8
 
1.8%
20100806 7
 
1.6%
20001201 4
 
0.9%
20210806 3
 
0.7%
20200921 3
 
0.7%
20070725 3
 
0.7%
Other values (22) 23
 
5.1%

clgstdt
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
휴업시작일자
63 

Length

Max length6
Median length4
Mean length4.28125
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> 385
85.9%
휴업시작일자 63
 
14.1%

Length

2024-04-16T20:39:54.167220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:54.259674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
휴업시작일자 63
 
14.1%

clgenddt
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
휴업종료일자
63 

Length

Max length6
Median length4
Mean length4.28125
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> 385
85.9%
휴업종료일자 63
 
14.1%

Length

2024-04-16T20:39:54.355489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:54.458982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
휴업종료일자 63
 
14.1%

ropnymd
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
재개업일자
63 

Length

Max length5
Median length4
Mean length4.140625
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> 385
85.9%
재개업일자 63
 
14.1%

Length

2024-04-16T20:39:54.547104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:54.632242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
재개업일자 63
 
14.1%

trdstatenm
Categorical

Distinct7
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
영업/정상
263 
13
114 
03
56 
폐업
 
8
제외/삭제/전출
 
5
Other values (2)
 
2

Length

Max length8
Median length5
Mean length3.8325893
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row03
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row13

Common Values

ValueCountFrequency (%)
영업/정상 263
58.7%
13 114
25.4%
03 56
 
12.5%
폐업 8
 
1.8%
제외/삭제/전출 5
 
1.1%
35 1
 
0.2%
<NA> 1
 
0.2%

Length

2024-04-16T20:39:54.723832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:54.829288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 263
58.7%
13 114
25.4%
03 56
 
12.5%
폐업 8
 
1.8%
제외/삭제/전출 5
 
1.1%
35 1
 
0.2%
na 1
 
0.2%

dtlstatenm
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
영업중
378 
폐업
64 
전출
 
5
직권말소
 
1

Length

Max length4
Median length3
Mean length2.8482143
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 378
84.4%
폐업 64
 
14.3%
전출 5
 
1.1%
직권말소 1
 
0.2%

Length

2024-04-16T20:39:54.948769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:55.050316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 378
84.4%
폐업 64
 
14.3%
전출 5
 
1.1%
직권말소 1
 
0.2%

x
Real number (ℝ)

MISSING 

Distinct118
Distinct (%)26.7%
Missing6
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean389833.53
Minimum374253.11
Maximum401646.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-16T20:39:55.148624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum374253.11
5-th percentile380625.39
Q1385622.78
median389751.94
Q3393787.86
95-th percentile398310.24
Maximum401646.7
Range27393.591
Interquartile range (IQR)8165.0822

Descriptive statistics

Standard deviation5609.769
Coefficient of variation (CV)0.014390166
Kurtosis-0.15125337
Mean389833.53
Median Absolute Deviation (MAD)4076.4153
Skewness-0.18687443
Sum1.7230642 × 108
Variance31469509
MonotonicityNot monotonic
2024-04-16T20:39:55.279040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393674.032955782 20
 
4.5%
387982.190387 14
 
3.1%
388011.197829908 12
 
2.7%
387443.214568 11
 
2.5%
387608.014165034 11
 
2.5%
385622.780457355 11
 
2.5%
393952.264486105 10
 
2.2%
398310.243451 10
 
2.2%
394153.800755 10
 
2.2%
396915.143441 10
 
2.2%
Other values (108) 323
72.1%
ValueCountFrequency (%)
374253.112340712 7
1.6%
377557.995908 1
 
0.2%
378656.720935232 1
 
0.2%
379212.079721725 5
1.1%
379240.573215267 3
0.7%
379280.632039 2
 
0.4%
379546.541691789 1
 
0.2%
379635.65262 1
 
0.2%
380625.391364589 6
1.3%
380780.612775 7
1.6%
ValueCountFrequency (%)
401646.70301259 3
 
0.7%
401504.790177 6
1.3%
401170.585261685 1
 
0.2%
400819.975248202 1
 
0.2%
398757.078098629 1
 
0.2%
398628.503470003 2
 
0.4%
398341.802637 7
1.6%
398310.243451 10
2.2%
398275.475596001 1
 
0.2%
398242.150343638 2
 
0.4%

y
Real number (ℝ)

MISSING 

Distinct118
Distinct (%)26.7%
Missing6
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean187633.6
Minimum178757.42
Maximum204621.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-16T20:39:55.423276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum178757.42
5-th percentile179597.59
Q1185310.71
median187480.44
Q3189911.43
95-th percentile195491.52
Maximum204621.66
Range25864.232
Interquartile range (IQR)4600.7252

Descriptive statistics

Standard deviation5404.827
Coefficient of variation (CV)0.02880522
Kurtosis1.6196786
Mean187633.6
Median Absolute Deviation (MAD)2169.7385
Skewness0.85449507
Sum82934049
Variance29212155
MonotonicityNot monotonic
2024-04-16T20:39:55.545079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187973.297243244 20
 
4.5%
186465.864259 14
 
3.1%
185310.70532509 12
 
2.7%
186484.775084 11
 
2.5%
185703.079007724 11
 
2.5%
179452.224754792 11
 
2.5%
187602.933160728 10
 
2.2%
188031.67198 10
 
2.2%
188019.100861 10
 
2.2%
187480.443811 10
 
2.2%
Other values (108) 323
72.1%
ValueCountFrequency (%)
178757.423271048 7
1.6%
178872.461747926 1
 
0.2%
179411.189506548 1
 
0.2%
179452.224754792 11
2.5%
179597.592953541 6
1.3%
179823.23303496 4
 
0.9%
179885.813689 2
 
0.4%
179911.285409 5
1.1%
179919.437009 4
 
0.9%
179919.488084 8
1.8%
ValueCountFrequency (%)
204621.655738547 5
1.1%
204597.0 5
1.1%
204401.691446 6
1.3%
196220.454694204 1
 
0.2%
195833.199326362 1
 
0.2%
195491.519782 8
1.8%
195029.489621392 1
 
0.2%
194992.355262 2
 
0.4%
194681.150958776 7
1.6%
194622.201131 7
1.6%

lastmodts
Real number (ℝ)

Distinct377
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0185463 × 1013
Minimum2.0030127 × 1013
Maximum2.0210826 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-16T20:39:55.661947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030127 × 1013
5-th percentile2.0110616 × 1013
Q12.0180614 × 1013
median2.0190967 × 1013
Q32.0210422 × 1013
95-th percentile2.0210718 × 1013
Maximum2.0210826 × 1013
Range1.8069894 × 1011
Interquartile range (IQR)2.9807955 × 1010

Descriptive statistics

Standard deviation3.3153334 × 1010
Coefficient of variation (CV)0.0016424361
Kurtosis6.3406786
Mean2.0185463 × 1013
Median Absolute Deviation (MAD)1.9234984 × 1010
Skewness-2.3554028
Sum9.0430876 × 1015
Variance1.0991435 × 1021
MonotonicityNot monotonic
2024-04-16T20:39:55.790411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210524175645 6
 
1.3%
20190920121341 5
 
1.1%
20210421091411 5
 
1.1%
20030127161348 4
 
0.9%
20191017170859 4
 
0.9%
20190927173659 3
 
0.7%
20200115103223 3
 
0.7%
20210621093400 3
 
0.7%
20210312113406 3
 
0.7%
20210312113428 3
 
0.7%
Other values (367) 409
91.3%
ValueCountFrequency (%)
20030127161348 4
0.9%
20040731102817 1
 
0.2%
20050416094533 1
 
0.2%
20070725150334 1
 
0.2%
20070725150429 1
 
0.2%
20070725183312 1
 
0.2%
20071231132808 1
 
0.2%
20080506140353 1
 
0.2%
20080627132446 1
 
0.2%
20090622134847 1
 
0.2%
ValueCountFrequency (%)
20210826104827 1
0.2%
20210823094832 1
0.2%
20210823094814 1
0.2%
20210823094435 1
0.2%
20210823094409 1
0.2%
20210823094244 1
0.2%
20210823094055 1
0.2%
20210817182323 1
0.2%
20210817182234 1
0.2%
20210817182140 1
0.2%

uptaenm
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
업태구분명
63 

Length

Max length5
Median length4
Mean length4.140625
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> 385
85.9%
업태구분명 63
 
14.1%

Length

2024-04-16T20:39:55.904619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:55.995035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
업태구분명 63
 
14.1%

sitetel
Categorical

IMBALANCE 

Distinct23
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
051-123-1234
292 
<NA>
50 
전화번호
30 
910-1411
 
12
051-366-2200
 
9
Other values (18)
55 

Length

Max length13
Median length12
Mean length10.375
Min length4

Unique

Unique9 ?
Unique (%)2.0%

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 292
65.2%
<NA> 50
 
11.2%
전화번호 30
 
6.7%
910-1411 12
 
2.7%
051-366-2200 9
 
2.0%
051-745-2883 8
 
1.8%
070-4159-8881 7
 
1.6%
364-0480 7
 
1.6%
051-626-0488 6
 
1.3%
02-371-6670 6
 
1.3%
Other values (13) 21
 
4.7%

Length

2024-04-16T20:39:56.093634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
051-123-1234 292
65.2%
na 50
 
11.2%
전화번호 30
 
6.7%
910-1411 12
 
2.7%
051-366-2200 9
 
2.0%
051-745-2883 8
 
1.8%
070-4159-8881 7
 
1.6%
364-0480 7
 
1.6%
051-626-0488 6
 
1.3%
02-371-6670 6
 
1.3%
Other values (13) 21
 
4.7%

bdngsrvnm
Categorical

Distinct7
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
281 
문화시설
82 
건물용도명
56 
근린생활시설
 
13
유통시설
 
9
Other values (2)
 
7

Length

Max length6
Median length4
Mean length4.1540179
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 281
62.7%
문화시설 82
 
18.3%
건물용도명 56
 
12.5%
근린생활시설 13
 
2.9%
유통시설 9
 
2.0%
호텔 6
 
1.3%
사무실 1
 
0.2%

Length

2024-04-16T20:39:56.204555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:56.311877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 281
62.7%
문화시설 82
 
18.3%
건물용도명 56
 
12.5%
근린생활시설 13
 
2.9%
유통시설 9
 
2.0%
호텔 6
 
1.3%
사무실 1
 
0.2%

perplaformsenm
Categorical

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
영화관
282 
<NA>
111 
공연장형태구분명
51 
자동차극장
 
4

Length

Max length8
Median length3
Mean length3.8348214
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 282
62.9%
<NA> 111
 
24.8%
공연장형태구분명 51
 
11.4%
자동차극장 4
 
0.9%

Length

2024-04-16T20:39:56.419796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:56.522528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 282
62.9%
na 111
 
24.8%
공연장형태구분명 51
 
11.4%
자동차극장 4
 
0.9%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
기존게임업외업종명
63 

Length

Max length9
Median length4
Mean length4.703125
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> 385
85.9%
기존게임업외업종명 63
 
14.1%

Length

2024-04-16T20:39:56.618241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:56.704309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
기존게임업외업종명 63
 
14.1%

noroomcnt
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
373 
노래방실수
57 
0
 
18

Length

Max length5
Median length4
Mean length4.0066964
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> 373
83.3%
노래방실수 57
 
12.7%
0 18
 
4.0%

Length

2024-04-16T20:39:56.799082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:56.892107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 373
83.3%
노래방실수 57
 
12.7%
0 18
 
4.0%

culwrkrsenm
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
영화상영관
196 
<NA>
191 
문화사업자구분명
61 

Length

Max length8
Median length5
Mean length4.9821429
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 196
43.8%
<NA> 191
42.6%
문화사업자구분명 61
 
13.6%

Length

2024-04-16T20:39:56.989416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:57.082232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 196
43.8%
na 191
42.6%
문화사업자구분명 61
 
13.6%

culphyedcobnm
Categorical

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
영화상영관
290 
영화제작업
100 
영화배급업
 
29
영화상영업
 
21
영화수입업
 
8

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 290
64.7%
영화제작업 100
 
22.3%
영화배급업 29
 
6.5%
영화상영업 21
 
4.7%
영화수입업 8
 
1.8%

Length

2024-04-16T20:39:57.184249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:57.297825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 290
64.7%
영화제작업 100
 
22.3%
영화배급업 29
 
6.5%
영화상영업 21
 
4.7%
영화수입업 8
 
1.8%

souarfacilyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
63 

Length

Max length4
Median length4
Mean length3.578125
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> 385
85.9%
63
 
14.1%

Length

2024-04-16T20:39:57.400892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:57.502065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
63
 
14.1%

vdoretornm
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
비디오재생기명
63 

Length

Max length7
Median length4
Mean length4.421875
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> 385
85.9%
비디오재생기명 63
 
14.1%

Length

2024-04-16T20:39:57.612578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:57.698479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
비디오재생기명 63
 
14.1%

emerstairyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
63 

Length

Max length4
Median length4
Mean length3.578125
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> 385
85.9%
63
 
14.1%

Length

2024-04-16T20:39:57.795526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:57.883338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
63
 
14.1%

emexyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
63 

Length

Max length4
Median length4
Mean length3.578125
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> 385
85.9%
63
 
14.1%

Length

2024-04-16T20:39:57.970129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:58.058058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
63
 
14.1%

firefacilyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
63 

Length

Max length4
Median length4
Mean length3.578125
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> 385
85.9%
63
 
14.1%

Length

2024-04-16T20:39:58.143104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:58.228121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
63
 
14.1%

facilar
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
367 
시설면적
57 
0
 
18
1578.8
 
4
147.46
 
1

Length

Max length6
Median length4
Mean length3.9040179
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 367
81.9%
시설면적 57
 
12.7%
0 18
 
4.0%
1578.8 4
 
0.9%
147.46 1
 
0.2%
181.3 1
 
0.2%

Length

2024-04-16T20:39:58.317598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:58.414180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 367
81.9%
시설면적 57
 
12.7%
0 18
 
4.0%
1578.8 4
 
0.9%
147.46 1
 
0.2%
181.3 1
 
0.2%

soundfacilyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
63 

Length

Max length4
Median length4
Mean length3.578125
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> 385
85.9%
63
 
14.1%

Length

2024-04-16T20:39:58.524828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:58.624572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
63
 
14.1%

autochaairyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
63 

Length

Max length4
Median length4
Mean length3.578125
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> 385
85.9%
63
 
14.1%

Length

2024-04-16T20:39:58.715297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:58.798410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
63
 
14.1%

prvdgathinnm
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
제공게임물명
63 

Length

Max length6
Median length4
Mean length4.28125
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> 385
85.9%
제공게임물명 63
 
14.1%

Length

2024-04-16T20:39:58.896533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:59.232987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
제공게임물명 63
 
14.1%

mnfactreartclcn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
제작취급품목내용
63 

Length

Max length8
Median length4
Mean length4.5625
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> 385
85.9%
제작취급품목내용 63
 
14.1%

Length

2024-04-16T20:39:59.348625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:59.437765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
제작취급품목내용 63
 
14.1%

lghtfacilyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
63 

Length

Max length4
Median length4
Mean length3.578125
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> 385
85.9%
63
 
14.1%

Length

2024-04-16T20:39:59.535001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:59.626956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
63
 
14.1%

lghtfacilinillu
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
373 
조명시설조도
57 
0
 
18

Length

Max length6
Median length4
Mean length4.1339286
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> 373
83.3%
조명시설조도 57
 
12.7%
0 18
 
4.0%

Length

2024-04-16T20:39:59.721886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:39:59.823366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 373
83.3%
조명시설조도 57
 
12.7%
0 18
 
4.0%

nearenvnm
Categorical

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
328 
주변환경명
59 
기타
 
32
유흥업소밀집지역
 
18
아파트지역
 
9

Length

Max length8
Median length4
Mean length4.1875
Min length2

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> 328
73.2%
주변환경명 59
 
13.2%
기타 32
 
7.1%
유흥업소밀집지역 18
 
4.0%
아파트지역 9
 
2.0%
학교정화(상대) 2
 
0.4%

Length

2024-04-16T20:39:59.922160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:40:00.019610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 328
73.2%
주변환경명 59
 
13.2%
기타 32
 
7.1%
유흥업소밀집지역 18
 
4.0%
아파트지역 9
 
2.0%
학교정화(상대 2
 
0.4%

jisgnumlay
Categorical

Distinct23
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
158 
지상층수
49 
10
37 
7
28 
9
27 
Other values (18)
149 

Length

Max length4
Median length2
Mean length2.6495536
Min length1

Unique

Unique4 ?
Unique (%)0.9%

Sample

1st row4
2nd row6
3rd row6
4th row6
5th row6

Common Values

ValueCountFrequency (%)
<NA> 158
35.3%
지상층수 49
 
10.9%
10 37
 
8.3%
7 28
 
6.2%
9 27
 
6.0%
5 20
 
4.5%
8 19
 
4.2%
42 17
 
3.8%
12 15
 
3.3%
6 12
 
2.7%
Other values (13) 66
14.7%

Length

2024-04-16T20:40:00.150001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 158
35.3%
지상층수 49
 
10.9%
10 37
 
8.3%
7 28
 
6.2%
9 27
 
6.0%
5 20
 
4.5%
8 19
 
4.2%
42 17
 
3.8%
12 15
 
3.3%
6 12
 
2.7%
Other values (13) 66
14.7%

regnsenm
Categorical

IMBALANCE 

Distinct10
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
314 
지역구분명
59 
일반상업지역
 
30
상업지역
 
16
중심상업지역
 
12
Other values (5)
 
17

Length

Max length6
Median length4
Mean length4.3549107
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 314
70.1%
지역구분명 59
 
13.2%
일반상업지역 30
 
6.7%
상업지역 16
 
3.6%
중심상업지역 12
 
2.7%
녹지지역 8
 
1.8%
일반주거지역 4
 
0.9%
근린상업지역 3
 
0.7%
주거지역 1
 
0.2%
일반공업지역 1
 
0.2%

Length

2024-04-16T20:40:00.262297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:40:00.377230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 314
70.1%
지역구분명 59
 
13.2%
일반상업지역 30
 
6.7%
상업지역 16
 
3.6%
중심상업지역 12
 
2.7%
녹지지역 8
 
1.8%
일반주거지역 4
 
0.9%
근린상업지역 3
 
0.7%
주거지역 1
 
0.2%
일반공업지역 1
 
0.2%

undernumlay
Categorical

Distinct12
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
165 
5
59 
지하층수
51 
2
47 
1
35 
Other values (7)
91 

Length

Max length4
Median length1
Mean length2.4508929
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row4
3rd row4
4th row4
5th row1

Common Values

ValueCountFrequency (%)
<NA> 165
36.8%
5 59
 
13.2%
지하층수 51
 
11.4%
2 47
 
10.5%
1 35
 
7.8%
3 24
 
5.4%
4 21
 
4.7%
6 20
 
4.5%
8 18
 
4.0%
0 6
 
1.3%
Other values (2) 2
 
0.4%

Length

2024-04-16T20:40:00.501043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 165
36.8%
5 59
 
13.2%
지하층수 51
 
11.4%
2 47
 
10.5%
1 35
 
7.8%
3 24
 
5.4%
4 21
 
4.7%
6 20
 
4.5%
8 18
 
4.0%
0 6
 
1.3%
Other values (2) 2
 
0.4%

bgroomcnt
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
373 
청소년실수
57 
0
 
18

Length

Max length5
Median length4
Mean length4.0066964
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> 373
83.3%
청소년실수 57
 
12.7%
0 18
 
4.0%

Length

2024-04-16T20:40:00.610808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:40:00.729145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 373
83.3%
청소년실수 57
 
12.7%
0 18
 
4.0%

bgroomyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
63 

Length

Max length4
Median length4
Mean length3.578125
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> 385
85.9%
63
 
14.1%

Length

2024-04-16T20:40:00.830661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:40:00.920059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
63
 
14.1%

totgasyscnt
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
373 
총게임기수
57 
0
 
18

Length

Max length5
Median length4
Mean length4.0066964
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> 373
83.3%
총게임기수 57
 
12.7%
0 18
 
4.0%

Length

2024-04-16T20:40:01.013135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:40:01.107317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 373
83.3%
총게임기수 57
 
12.7%
0 18
 
4.0%

totnumlay
Categorical

Distinct20
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
244 
총층수
52 
10
 
20
9
 
12
11
 
12
Other values (15)
108 

Length

Max length4
Median length4
Mean length3.1183036
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 244
54.5%
총층수 52
 
11.6%
10 20
 
4.5%
9 12
 
2.7%
11 12
 
2.7%
6 12
 
2.7%
18 11
 
2.5%
19 10
 
2.2%
54 9
 
2.0%
15 9
 
2.0%
Other values (10) 57
 
12.7%

Length

2024-04-16T20:40:01.204227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 244
54.5%
총층수 52
 
11.6%
10 20
 
4.5%
9 12
 
2.7%
11 12
 
2.7%
6 12
 
2.7%
18 11
 
2.5%
19 10
 
2.2%
54 9
 
2.0%
15 9
 
2.0%
Other values (10) 57
 
12.7%

frstregts
Real number (ℝ)

Distinct148
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20113406
Minimum19451015
Maximum20210826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-04-16T20:40:01.320990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19451015
5-th percentile20000529
Q120050307
median20130507
Q320190702
95-th percentile20210518
Maximum20210826
Range759811
Interquartile range (IQR)140395

Descriptive statistics

Standard deviation89858.646
Coefficient of variation (CV)0.0044675996
Kurtosis8.5065134
Mean20113406
Median Absolute Deviation (MAD)69596
Skewness-1.7341521
Sum9.010806 × 109
Variance8.0745763 × 109
MonotonicityNot monotonic
2024-04-16T20:40:01.437404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000529 12
 
2.7%
20190315 12
 
2.7%
20010609 11
 
2.5%
20140822 11
 
2.5%
20021112 10
 
2.2%
20090302 10
 
2.2%
20071204 10
 
2.2%
20050307 10
 
2.2%
20210615 10
 
2.2%
20200103 9
 
2.0%
Other values (138) 343
76.6%
ValueCountFrequency (%)
19451015 1
0.2%
19591023 1
0.2%
19690925 1
0.2%
19820125 1
0.2%
19910826 1
0.2%
19930814 2
0.4%
19970308 1
0.2%
19980307 1
0.2%
19980319 1
0.2%
19980623 1
0.2%
ValueCountFrequency (%)
20210826 1
 
0.2%
20210806 2
 
0.4%
20210802 1
 
0.2%
20210722 1
 
0.2%
20210709 2
 
0.4%
20210707 1
 
0.2%
20210630 1
 
0.2%
20210615 10
2.2%
20210608 1
 
0.2%
20210527 1
 
0.2%

pasgbreth
Categorical

Distinct19
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
238 
1
103 
통로너비
51 
1.5
 
12
0
 
11
Other values (14)
33 

Length

Max length4
Median length4
Mean length3.1741071
Min length1

Unique

Unique8 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 238
53.1%
1 103
23.0%
통로너비 51
 
11.4%
1.5 12
 
2.7%
0 11
 
2.5%
1.2 7
 
1.6%
1.45 5
 
1.1%
1.3 4
 
0.9%
1.15 4
 
0.9%
1.7 3
 
0.7%
Other values (9) 10
 
2.2%

Length

2024-04-16T20:40:01.559450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 238
53.1%
1 103
23.0%
통로너비 51
 
11.4%
1.5 12
 
2.7%
0 11
 
2.5%
1.2 7
 
1.6%
1.45 5
 
1.1%
1.3 4
 
0.9%
1.15 4
 
0.9%
1.7 3
 
0.7%
Other values (9) 10
 
2.2%

speclghtyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
63 

Length

Max length4
Median length4
Mean length3.578125
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> 385
85.9%
63
 
14.1%

Length

2024-04-16T20:40:01.659472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:40:01.747464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
63
 
14.1%

cnvefacilyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
63 

Length

Max length4
Median length4
Mean length3.578125
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> 385
85.9%
63
 
14.1%

Length

2024-04-16T20:40:01.842257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:40:01.942106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
63
 
14.1%

actlnm
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
385 
품목명
63 

Length

Max length4
Median length4
Mean length3.859375
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> 385
85.9%
품목명 63
 
14.1%

Length

2024-04-16T20:40:02.033143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:40:02.130254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 385
85.9%
품목명 63
 
14.1%

last_load_dttm
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
2021-09-01 05:20:03
448 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-01 05:20:03
2nd row2021-09-01 05:20:03
3rd row2021-09-01 05:20:03
4th row2021-09-01 05:20:03
5th row2021-09-01 05:20:03

Common Values

ValueCountFrequency (%)
2021-09-01 05:20:03 448
100.0%

Length

2024-04-16T20:40:02.236706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:40:02.319672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-01 448
50.0%
05:20:03 448
50.0%

Sample

skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelbdngsrvnmperplaformsenmbfgameocptectcobnmnoroomcntculwrkrsenmculphyedcobnmsouarfacilynvdoretornmemerstairynemexynfirefacilynfacilarsoundfacilynautochaairynprvdgathinnmmnfactreartclcnlghtfacilynlghtfacilinillunearenvnmjisgnumlayregnsenmundernumlaybgroomcntbgroomyntotgasyscnttotnumlayfrstregtspasgbrethspeclghtyncnvefacilynactlnmlast_load_dttm
013250000CDFF422000200500000103_13_02_PI2018-08-31 23:59:59.0<NA>국도극장 예술관600805부산광역시 중구 부평동1가 45-9번지48947부산광역시 중구 중구로 13 (부평동1가)2005041520080501<NA><NA><NA>03폐업384872.100538179957.08923720080506140353<NA>051-123-1234<NA>영화관<NA><NA>영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4<NA><NA><NA><NA><NA><NA>20050415<NA><NA><NA><NA>2021-09-01 05:20:03
123250000CDFF422000201700000303_13_02_PU2020-01-19 02:40:00.0영화상영관롯데시네마 대영 제3관<NA>부산광역시 중구 남포동5가 12-1번지48953부산광역시 중구 비프광장로 37, 6층 (남포동5가)20170309<NA><NA><NA><NA>영업/정상영업중384985.448098179597.59295420200117162055<NA>051-123-1234<NA>영화관<NA><NA><NA>영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6상업지역4<NA><NA><NA><NA>20170309<NA><NA><NA><NA>2021-09-01 05:20:03
233250000CDFF422000201700000603_13_02_PU2020-01-19 02:40:00.0영화상영관롯데시네마 대영 제6관<NA>부산광역시 중구 남포동5가 12-1번지48953부산광역시 중구 비프광장로 37, 6층 (남포동5가)20170309<NA><NA><NA><NA>영업/정상영업중384985.448098179597.59295420200117162131<NA>051-123-1234<NA>영화관<NA><NA><NA>영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6상업지역4<NA><NA><NA><NA>20170309<NA><NA><NA><NA>2021-09-01 05:20:03
343250000CDFF422000201700000503_13_02_PU2020-01-19 02:40:00.0영화상영관롯데시네마 대영 제5관<NA>부산광역시 중구 남포동5가 12-1번지48953부산광역시 중구 비프광장로 37, 6층 (남포동5가)20170309<NA><NA><NA><NA>영업/정상영업중384985.448098179597.59295420200117162119<NA>051-123-1234<NA>영화관<NA><NA><NA>영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6상업지역4<NA><NA><NA><NA>20170309<NA><NA><NA><NA>2021-09-01 05:20:03
453250000CDFF422000198200000103_13_02_PI2018-08-31 23:59:59.0<NA>메가박스 부산극장 1관<NA>부산광역시 중구 남포동5가 18-1번지48947부산광역시 중구 비프광장로 36 (남포동5가)19820125<NA><NA><NA><NA>13영업중384992.283249179919.43700920180621102116<NA>051-123-1234<NA>영화관<NA><NA>영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6<NA>1<NA><NA><NA><NA>19820125<NA><NA><NA><NA>2021-09-01 05:20:03
563250000CDFF422000199300000103_13_02_PI2018-08-31 23:59:59.0<NA>메가박스 부산극장 2관<NA>부산광역시 중구 남포동5가 18-1번지48947부산광역시 중구 비프광장로 36 (남포동5가)19930814<NA><NA><NA><NA>13영업중384992.283249179919.43700920180621102237<NA>051-123-1234<NA>영화관<NA><NA>영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19930814<NA><NA><NA><NA>2021-09-01 05:20:03
673250000CDFF422000199300000203_13_02_PI2018-08-31 23:59:59.0<NA>메가박스 부산극장 3관<NA>부산광역시 중구 남포동5가 18-1번지48947부산광역시 중구 비프광장로 36 (남포동5가)19930814<NA><NA><NA><NA>13영업중384992.283249179919.43700920180621103110<NA>051-123-1234<NA>영화관<NA><NA>영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6<NA>1<NA><NA><NA><NA>19930814<NA><NA><NA><NA>2021-09-01 05:20:03
783250000CDFF422000199800000103_13_02_PI2018-08-31 23:59:59.0<NA>삼보극장600807부산광역시 중구 부평동2가 56번지48947<NA>1998030720070725<NA><NA><NA>03폐업<NA><NA>20070725183312<NA>051-123-1234<NA>영화관<NA><NA>영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19980307<NA><NA><NA><NA>2021-09-01 05:20:03
893250000CDFF422000199900000103_13_02_PI2018-08-31 23:59:59.0<NA>대영시네마 1관<NA>부산광역시 중구 남포동5가 12-1번지48953부산광역시 중구 비프광장로 37 (남포동5가)1999071620160617<NA><NA><NA>03폐업385057.258081179919.48808420160617104121<NA>051-123-1234<NA>영화관<NA><NA>영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1019990716<NA><NA><NA><NA>2021-09-01 05:20:03
9103250000CDFF422000199900000203_13_02_PI2018-08-31 23:59:59.0<NA>대영시네마 2관<NA>부산광역시 중구 남포동5가 12-1번지48953부산광역시 중구 비프광장로 37 (남포동5가)1999071620160617<NA><NA><NA>03폐업385057.258081179919.48808420160617104156<NA>051-123-1234<NA>영화관<NA><NA>영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6<NA>4<NA><NA><NA><NA>19990716<NA><NA><NA><NA>2021-09-01 05:20:03
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelbdngsrvnmperplaformsenmbfgameocptectcobnmnoroomcntculwrkrsenmculphyedcobnmsouarfacilynvdoretornmemerstairynemexynfirefacilynfacilarsoundfacilynautochaairynprvdgathinnmmnfactreartclcnlghtfacilynlghtfacilinillunearenvnmjisgnumlayregnsenmundernumlaybgroomcntbgroomyntotgasyscnttotnumlayfrstregtspasgbrethspeclghtyncnvefacilynactlnmlast_load_dttm
43830163400000CDFF521101202100000103_13_05_PI2021-03-31 00:22:59.0영화제작업필름상가509호지번우편번호부산광역시 기장군 기장읍 대라리 1000 월가 아델리스 아파트 304호46067부산광역시 기장군 기장읍 차성남로 23, 304호 (월가 아델리스 아파트)20210329폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중401170.585262195833.19932620210329113916업태구분명전화번호건물용도명공연장형태구분명기존게임업외업종명노래방실수문화사업자구분명영화제작업비디오재생기명시설면적제공게임물명제작취급품목내용조명시설조도주변환경명지상층수지역구분명지하층수청소년실수총게임기수총층수20210329통로너비품목명2021-09-01 05:20:03
43930173380000CDFF521101202100000203_13_05_PI2021-04-01 00:22:58.0영화제작업탄탄필름지번우편번호부산광역시 수영구 광안동 158-28 광안그린빌라 501호48296부산광역시 수영구 광안로49번길 40, 501호 (광안동, 광안그린빌라)20210330폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중392991.646291186220.25001820210330103227업태구분명전화번호건물용도명공연장형태구분명기존게임업외업종명노래방실수문화사업자구분명영화제작업비디오재생기명시설면적제공게임물명제작취급품목내용조명시설조도주변환경명지상층수지역구분명지하층수청소년실수총게임기수총층수20210330통로너비품목명2021-09-01 05:20:03
44030183330000CDFF521101202100000403_13_05_PU2021-04-29 02:40:00.0영화제작업공감지번우편번호부산광역시 해운대구 우동 1466-2 영상산업센터 902호48058부산광역시 해운대구 센텀서로 39, 영상산업센터 902호 (우동)20210405폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중393674.032956187973.29724320210427092012업태구분명070-4407-6252건물용도명공연장형태구분명기존게임업외업종명노래방실수문화사업자구분명영화제작업비디오재생기명시설면적제공게임물명제작취급품목내용조명시설조도주변환경명지상층수지역구분명지하층수청소년실수총게임기수총층수20210405통로너비품목명2021-09-01 05:20:03
44130193360000CDFF521104202100000103_13_03_PU2021-06-13 02:40:00.0영화상영업롯데시네마 부산 명지점지번우편번호부산광역시 강서구 명지동 3432-346726부산광역시 강서구 명지국제6로 107, 부산명지 대방디엠시티 센텀오션 2차 2층 (명지동)20210512폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중374253.112341178757.42327120210611144411업태구분명070-4159-8881건물용도명공연장형태구분명기존게임업외업종명노래방실수문화사업자구분명영화상영업비디오재생기명시설면적제공게임물명제작취급품목내용조명시설조도주변환경명지상층수지역구분명지하층수청소년실수총게임기수총층수20210512통로너비품목명2021-09-01 05:20:03
44230203330000CDFF521103202100000303_13_01_PI2021-05-15 00:22:56.0영화배급업주식회사 엠앤미디어지번우편번호부산광역시 해운대구 우동 1466-1 부산문화콘텐츠컴플렉스 5층 부산콘텐츠코리아랩48058부산광역시 해운대구 수영강변대로 140, 부산문화콘텐츠컴플렉스 5층 부산콘텐츠코리아랩 (우동)20210513폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중393573.517297188018.68713820210513125315업태구분명전화번호건물용도명공연장형태구분명기존게임업외업종명노래방실수문화사업자구분명영화배급업비디오재생기명시설면적제공게임물명제작취급품목내용조명시설조도주변환경명지상층수지역구분명지하층수청소년실수총게임기수총층수20210513통로너비품목명2021-09-01 05:20:03
44330213330000CDFF521101202100000503_13_05_PI2021-05-15 00:22:56.0영화제작업주식회사 엠앤미디어<NA>부산광역시 해운대구 우동 1466-1 부산문화콘텐츠컴플렉스 5층 부산콘텐츠코리아랩48058부산광역시 해운대구 수영강변대로 140, 부산문화콘텐츠컴플렉스 5층 부산콘텐츠코리아랩 (우동)20210513<NA><NA><NA><NA>영업/정상영업중393573.517297188018.68713820210513125158<NA><NA><NA><NA><NA><NA><NA>영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20210513<NA><NA><NA><NA>2021-09-01 05:20:03
44430223250000CDFF521102202100000103_13_04_PI2021-05-15 00:22:56.0영화수입업주식회사 라라아비스<NA>부산광역시 중구 신창동1가 8-248948부산광역시 중구 광복중앙로 13, 4층 6호 (신창동1가)20161013<NA><NA><NA><NA>영업/정상영업중385096.938581179823.23303520210513163139<NA><NA><NA><NA><NA><NA><NA>영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20161013<NA><NA><NA><NA>2021-09-01 05:20:03
44530233250000CDFF521103202100000103_13_01_PI2021-05-15 00:22:56.0영화배급업주식회사 라라아비스<NA>부산광역시 중구 신창동1가 8-248948부산광역시 중구 광복중앙로 13, 4층 6호 (신창동1가)20161013<NA><NA><NA><NA>영업/정상영업중385096.938581179823.23303520210513163400<NA><NA><NA><NA><NA><NA><NA>영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20161013<NA><NA><NA><NA>2021-09-01 05:20:03
44630243250000CDFF521101202100000203_13_05_PI2021-05-15 00:22:56.0영화제작업주식회사 라라아비스<NA>부산광역시 중구 신창동1가 8-248948부산광역시 중구 광복중앙로 13, 4층 6호 (신창동1가)20161013<NA><NA><NA><NA>영업/정상영업중385096.938581179823.23303520210513162803<NA><NA><NA><NA><NA><NA><NA>영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20161013<NA><NA><NA><NA>2021-09-01 05:20:03
44730253290000CDFF521104202100000103_13_03_PI2021-05-23 00:22:56.0영화상영업삼정프라퍼티 주식회사지번우편번호부산광역시 부산진구 부전동 227-2 삼정타워47296부산광역시 부산진구 중앙대로 672, 삼정타워 11층 (부전동)20210521폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중387608.014165185703.07900820210521093521업태구분명051-520-3766건물용도명공연장형태구분명기존게임업외업종명노래방실수문화사업자구분명영화상영업비디오재생기명시설면적제공게임물명제작취급품목내용조명시설조도주변환경명지상층수지역구분명지하층수청소년실수총게임기수총층수20210521통로너비품목명2021-09-01 05:20:03