Overview

Dataset statistics

Number of variables56
Number of observations510
Missing cells41
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory226.7 KiB
Average record size in memory455.3 B

Variable types

Numeric7
Text5
Categorical42
DateTime2

Alerts

last_load_dttm has constant value ""Constant
sitepostno is highly imbalanced (73.0%)Imbalance
dcbymd is highly imbalanced (62.1%)Imbalance
trdstatenm is highly imbalanced (55.0%)Imbalance
dtlstatenm is highly imbalanced (62.1%)Imbalance
regnsenm is highly imbalanced (53.2%)Imbalance
rdnpostno has 21 (4.1%) missing valuesMissing
rdnwhladdr has 6 (1.2%) missing valuesMissing
x has 6 (1.2%) missing valuesMissing
y has 6 (1.2%) missing valuesMissing
skey has unique valuesUnique

Reproduction

Analysis started2024-04-16 11:35:06.499342
Analysis finished2024-04-16 11:35:07.495415
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct510
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1099.5137
Minimum1
Maximum3117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-16T20:35:07.555547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.45
Q1128.25
median255.5
Q32146.25
95-th percentile3091.55
Maximum3117
Range3116
Interquartile range (IQR)2018

Descriptive statistics

Standard deviation1217.2738
Coefficient of variation (CV)1.107102
Kurtosis-1.2130131
Mean1099.5137
Median Absolute Deviation (MAD)230
Skewness0.72427237
Sum560752
Variance1481755.6
MonotonicityNot monotonic
2024-04-16T20:35:07.668525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
1427 1
 
0.2%
1648 1
 
0.2%
1647 1
 
0.2%
1645 1
 
0.2%
1643 1
 
0.2%
1576 1
 
0.2%
1571 1
 
0.2%
1542 1
 
0.2%
1525 1
 
0.2%
Other values (500) 500
98.0%
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 (%)
3117 1
0.2%
3116 1
0.2%
3115 1
0.2%
3114 1
0.2%
3113 1
0.2%
3112 1
0.2%
3111 1
0.2%
3110 1
0.2%
3109 1
0.2%
3108 1
0.2%

opnsfteamcode
Real number (ℝ)

Distinct15
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3321490.2
Minimum3250000
Maximum3400000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-16T20:35:07.778457image/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 deviation40943.381
Coefficient of variation (CV)0.012326811
Kurtosis-0.5335694
Mean3321490.2
Median Absolute Deviation (MAD)30000
Skewness0.061315734
Sum1.69396 × 109
Variance1.6763604 × 109
MonotonicityNot monotonic
2024-04-16T20:35:07.882303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3330000 135
26.5%
3290000 88
17.3%
3250000 56
11.0%
3300000 30
 
5.9%
3380000 30
 
5.9%
3320000 29
 
5.7%
3350000 28
 
5.5%
3400000 28
 
5.5%
3310000 21
 
4.1%
3390000 15
 
2.9%
Other values (5) 50
 
9.8%
ValueCountFrequency (%)
3250000 56
11.0%
3260000 2
 
0.4%
3270000 9
 
1.8%
3290000 88
17.3%
3300000 30
 
5.9%
3310000 21
 
4.1%
3320000 29
 
5.7%
3330000 135
26.5%
3340000 13
 
2.5%
3350000 28
 
5.5%
ValueCountFrequency (%)
3400000 28
 
5.5%
3390000 15
 
2.9%
3380000 30
 
5.9%
3370000 12
 
2.4%
3360000 14
 
2.7%
3350000 28
 
5.5%
3340000 13
 
2.5%
3330000 135
26.5%
3320000 29
 
5.7%
3310000 21
 
4.1%

mgtno
Text

Distinct261
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-04-16T20:35:08.069031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters10200
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

Unique150 ?
Unique (%)29.4%

Sample

1st rowCDFF4220002005000001
2nd rowCDFF4220002017000003
3rd rowCDFF4220002017000006
4th rowCDFF4220002017000005
5th rowCDFF4220001982000001
ValueCountFrequency (%)
cdff5211012020000001 18
 
3.5%
cdff5211012021000001 13
 
2.5%
cdff5211012019000001 12
 
2.4%
cdff5211012022000001 12
 
2.4%
cdff5211012021000002 9
 
1.8%
cdff5211012020000002 9
 
1.8%
cdff5211012022000002 8
 
1.6%
cdff5211032020000001 8
 
1.6%
cdff5211032019000001 8
 
1.6%
cdff5211042021000001 8
 
1.6%
Other values (251) 405
79.4%
2024-04-16T20:35:08.354291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4390
43.0%
2 1615
 
15.8%
1 1041
 
10.2%
F 1020
 
10.0%
C 510
 
5.0%
D 510
 
5.0%
4 397
 
3.9%
5 275
 
2.7%
9 135
 
1.3%
3 95
 
0.9%
Other values (3) 212
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8160
80.0%
Uppercase Letter 2040
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4390
53.8%
2 1615
 
19.8%
1 1041
 
12.8%
4 397
 
4.9%
5 275
 
3.4%
9 135
 
1.7%
3 95
 
1.2%
7 85
 
1.0%
6 67
 
0.8%
8 60
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 1020
50.0%
C 510
25.0%
D 510
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8160
80.0%
Latin 2040
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4390
53.8%
2 1615
 
19.8%
1 1041
 
12.8%
4 397
 
4.9%
5 275
 
3.4%
9 135
 
1.7%
3 95
 
1.2%
7 85
 
1.0%
6 67
 
0.8%
8 60
 
0.7%
Latin
ValueCountFrequency (%)
F 1020
50.0%
C 510
25.0%
D 510
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4390
43.0%
2 1615
 
15.8%
1 1041
 
10.2%
F 1020
 
10.0%
C 510
 
5.0%
D 510
 
5.0%
4 397
 
3.9%
5 275
 
2.7%
9 135
 
1.3%
3 95
 
0.9%
Other values (3) 212
 
2.1%

opnsvcid
Categorical

Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
03_13_02_P
302 
03_13_05_P
143 
03_13_01_P
33 
03_13_03_P
 
24
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 302
59.2%
03_13_05_P 143
28.0%
03_13_01_P 33
 
6.5%
03_13_03_P 24
 
4.7%
03_13_04_P 8
 
1.6%

Length

2024-04-16T20:35:08.477671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:08.563185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_13_02_p 302
59.2%
03_13_05_p 143
28.0%
03_13_01_p 33
 
6.5%
03_13_03_p 24
 
4.7%
03_13_04_p 8
 
1.6%

updategbn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
U
260 
I
250 

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 (%)
U 260
51.0%
I 250
49.0%

Length

2024-04-16T20:35:08.654906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:08.743234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 260
51.0%
i 250
49.0%
Distinct148
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2018-08-31 23:59:59
Maximum2022-09-23 02:40:00
2024-04-16T20:35:08.851675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:35:08.970420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

opnsvcnm
Categorical

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
영화상영관
205 
영화제작업
143 
<NA>
97 
영화배급업
33 
영화상영업
24 

Length

Max length5
Median length5
Mean length4.8098039
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 205
40.2%
영화제작업 143
28.0%
<NA> 97
19.0%
영화배급업 33
 
6.5%
영화상영업 24
 
4.7%
영화수입업 8
 
1.6%

Length

2024-04-16T20:35:09.071792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:09.162007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 205
40.2%
영화제작업 143
28.0%
na 97
19.0%
영화배급업 33
 
6.5%
영화상영업 24
 
4.7%
영화수입업 8
 
1.6%

bplcnm
Text

Distinct419
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-04-16T20:35:09.314081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length10.8
Min length2

Characters and Unicode

Total characters5508
Distinct characters281
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

Unique369 ?
Unique (%)72.4%

Sample

1st row국도극장 예술관
2nd row롯데시네마 대영 제3관
3rd row롯데시네마 대영 제6관
4th row롯데시네마 대영 제5관
5th row메가박스 부산극장 1관
ValueCountFrequency (%)
롯데시네마 85
 
7.7%
메가박스 48
 
4.4%
주식회사 47
 
4.3%
cgv 42
 
3.8%
해운대 26
 
2.4%
서면 21
 
1.9%
센텀시티 19
 
1.7%
6관 17
 
1.5%
2관 17
 
1.5%
4관 16
 
1.5%
Other values (268) 759
69.2%
2024-04-16T20:35:09.588655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
589
 
10.7%
329
 
6.0%
164
 
3.0%
151
 
2.7%
150
 
2.7%
143
 
2.6%
140
 
2.5%
124
 
2.3%
C 113
 
2.1%
) 107
 
1.9%
Other values (271) 3498
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3891
70.6%
Space Separator 589
 
10.7%
Uppercase Letter 478
 
8.7%
Decimal Number 298
 
5.4%
Close Punctuation 108
 
2.0%
Open Punctuation 108
 
2.0%
Lowercase Letter 23
 
0.4%
Other Punctuation 12
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
329
 
8.5%
164
 
4.2%
151
 
3.9%
150
 
3.9%
143
 
3.7%
140
 
3.6%
124
 
3.2%
101
 
2.6%
100
 
2.6%
81
 
2.1%
Other values (222) 2408
61.9%
Uppercase Letter
ValueCountFrequency (%)
C 113
23.6%
G 90
18.8%
V 88
18.4%
N 28
 
5.9%
O 18
 
3.8%
E 17
 
3.6%
I 15
 
3.1%
T 12
 
2.5%
M 12
 
2.5%
A 12
 
2.5%
Other values (13) 73
15.3%
Decimal Number
ValueCountFrequency (%)
1 47
15.8%
2 44
14.8%
4 40
13.4%
3 34
11.4%
6 33
11.1%
5 32
10.7%
7 25
8.4%
8 18
 
6.0%
9 17
 
5.7%
0 8
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
o 7
30.4%
d 5
21.7%
t 4
17.4%
m 3
13.0%
s 1
 
4.3%
l 1
 
4.3%
i 1
 
4.3%
g 1
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 107
99.1%
] 1
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 107
99.1%
[ 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 8
66.7%
, 4
33.3%
Space Separator
ValueCountFrequency (%)
589
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3891
70.6%
Common 1116
 
20.3%
Latin 501
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
329
 
8.5%
164
 
4.2%
151
 
3.9%
150
 
3.9%
143
 
3.7%
140
 
3.6%
124
 
3.2%
101
 
2.6%
100
 
2.6%
81
 
2.1%
Other values (222) 2408
61.9%
Latin
ValueCountFrequency (%)
C 113
22.6%
G 90
18.0%
V 88
17.6%
N 28
 
5.6%
O 18
 
3.6%
E 17
 
3.4%
I 15
 
3.0%
T 12
 
2.4%
M 12
 
2.4%
A 12
 
2.4%
Other values (21) 96
19.2%
Common
ValueCountFrequency (%)
589
52.8%
) 107
 
9.6%
( 107
 
9.6%
1 47
 
4.2%
2 44
 
3.9%
4 40
 
3.6%
3 34
 
3.0%
6 33
 
3.0%
5 32
 
2.9%
7 25
 
2.2%
Other values (8) 58
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3891
70.6%
ASCII 1617
29.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
589
36.4%
C 113
 
7.0%
) 107
 
6.6%
( 107
 
6.6%
G 90
 
5.6%
V 88
 
5.4%
1 47
 
2.9%
2 44
 
2.7%
4 40
 
2.5%
3 34
 
2.1%
Other values (39) 358
22.1%
Hangul
ValueCountFrequency (%)
329
 
8.5%
164
 
4.2%
151
 
3.9%
150
 
3.9%
143
 
3.7%
140
 
3.6%
124
 
3.2%
101
 
2.6%
100
 
2.6%
81
 
2.1%
Other values (222) 2408
61.9%

sitepostno
Categorical

IMBALANCE 

Distinct16
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
396 
지번우편번호
92 
614845
 
4
600805
 
3
601060
 
3
Other values (11)
 
12

Length

Max length6
Median length4
Mean length4.4470588
Min length4

Unique

Unique10 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 396
77.6%
지번우편번호 92
 
18.0%
614845 4
 
0.8%
600805 3
 
0.6%
601060 3
 
0.6%
600046 2
 
0.4%
600807 1
 
0.2%
600801 1
 
0.2%
600045 1
 
0.2%
614847 1
 
0.2%
Other values (6) 6
 
1.2%

Length

2024-04-16T20:35:09.703910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 396
77.6%
지번우편번호 92
 
18.0%
614845 4
 
0.8%
600805 3
 
0.6%
601060 3
 
0.6%
600046 2
 
0.4%
600807 1
 
0.2%
600801 1
 
0.2%
600045 1
 
0.2%
614847 1
 
0.2%
Other values (6) 6
 
1.2%
Distinct178
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2024-04-16T20:35:10.006602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length26.498039
Min length18

Characters and Unicode

Total characters13514
Distinct characters254
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

Unique86 ?
Unique (%)16.9%

Sample

1st row부산광역시 중구 부평동1가 45-9번지
2nd row부산광역시 중구 남포동5가 12-1
3rd row부산광역시 중구 남포동5가 12-1
4th row부산광역시 중구 남포동5가 12-1
5th row부산광역시 중구 남포동5가 18-1번지
ValueCountFrequency (%)
부산광역시 510
 
20.2%
해운대구 135
 
5.3%
우동 101
 
4.0%
부산진구 88
 
3.5%
76
 
3.0%
중구 56
 
2.2%
부전동 53
 
2.1%
수영구 30
 
1.2%
동래구 30
 
1.2%
북구 29
 
1.1%
Other values (343) 1421
56.2%
2024-04-16T20:35:10.396133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2478
18.3%
707
 
5.2%
666
 
4.9%
549
 
4.1%
549
 
4.1%
524
 
3.9%
512
 
3.8%
487
 
3.6%
1 465
 
3.4%
- 434
 
3.2%
Other values (244) 6143
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7804
57.7%
Space Separator 2478
 
18.3%
Decimal Number 2146
 
15.9%
Other Punctuation 457
 
3.4%
Dash Punctuation 434
 
3.2%
Uppercase Letter 150
 
1.1%
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 (%)
707
 
9.1%
666
 
8.5%
549
 
7.0%
549
 
7.0%
524
 
6.7%
512
 
6.6%
487
 
6.2%
207
 
2.7%
182
 
2.3%
178
 
2.3%
Other values (208) 3243
41.6%
Uppercase Letter
ValueCountFrequency (%)
K 35
23.3%
T 21
14.0%
S 19
12.7%
G 16
10.7%
B 11
 
7.3%
H 10
 
6.7%
U 10
 
6.7%
C 10
 
6.7%
Y 9
 
6.0%
N 8
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 465
21.7%
2 312
14.5%
5 225
10.5%
6 219
10.2%
4 197
9.2%
0 163
 
7.6%
8 158
 
7.4%
7 153
 
7.1%
3 142
 
6.6%
9 112
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 5
33.3%
o 3
20.0%
h 2
 
13.3%
r 2
 
13.3%
l 1
 
6.7%
i 1
 
6.7%
v 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 424
92.8%
, 18
 
3.9%
& 15
 
3.3%
Space Separator
ValueCountFrequency (%)
2478
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 434
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 7804
57.7%
Common 5545
41.0%
Latin 165
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
707
 
9.1%
666
 
8.5%
549
 
7.0%
549
 
7.0%
524
 
6.7%
512
 
6.6%
487
 
6.2%
207
 
2.7%
182
 
2.3%
178
 
2.3%
Other values (208) 3243
41.6%
Common
ValueCountFrequency (%)
2478
44.7%
1 465
 
8.4%
- 434
 
7.8%
* 424
 
7.6%
2 312
 
5.6%
5 225
 
4.1%
6 219
 
3.9%
4 197
 
3.6%
0 163
 
2.9%
8 158
 
2.8%
Other values (8) 470
 
8.5%
Latin
ValueCountFrequency (%)
K 35
21.2%
T 21
12.7%
S 19
11.5%
G 16
9.7%
B 11
 
6.7%
H 10
 
6.1%
U 10
 
6.1%
C 10
 
6.1%
Y 9
 
5.5%
N 8
 
4.8%
Other values (8) 16
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7804
57.7%
ASCII 5710
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2478
43.4%
1 465
 
8.1%
- 434
 
7.6%
* 424
 
7.4%
2 312
 
5.5%
5 225
 
3.9%
6 219
 
3.8%
4 197
 
3.5%
0 163
 
2.9%
8 158
 
2.8%
Other values (26) 635
 
11.1%
Hangul
ValueCountFrequency (%)
707
 
9.1%
666
 
8.5%
549
 
7.0%
549
 
7.0%
524
 
6.7%
512
 
6.6%
487
 
6.2%
207
 
2.7%
182
 
2.3%
178
 
2.3%
Other values (208) 3243
41.6%

rdnpostno
Text

MISSING 

Distinct106
Distinct (%)21.7%
Missing21
Missing (%)4.1%
Memory size4.1 KiB
2024-04-16T20:35:10.606715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.00818
Min length5

Characters and Unicode

Total characters2449
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

Unique44 ?
Unique (%)9.0%

Sample

1st row48947
2nd row48953
3rd row48953
4th row48953
5th row48947
ValueCountFrequency (%)
48058 54
 
11.0%
48947 49
 
10.0%
48953 20
 
4.1%
47296 16
 
3.3%
48059 16
 
3.3%
46726 14
 
2.9%
47299 12
 
2.5%
47288 12
 
2.5%
48944 11
 
2.2%
47285 11
 
2.2%
Other values (96) 274
56.0%
2024-04-16T20:35:10.893384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 633
25.8%
8 420
17.1%
7 248
 
10.1%
9 239
 
9.8%
5 185
 
7.6%
0 176
 
7.2%
2 175
 
7.1%
6 167
 
6.8%
1 101
 
4.1%
3 91
 
3.7%
Other values (7) 14
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2435
99.4%
Other Letter 14
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 633
26.0%
8 420
17.2%
7 248
 
10.2%
9 239
 
9.8%
5 185
 
7.6%
0 176
 
7.2%
2 175
 
7.2%
6 167
 
6.9%
1 101
 
4.1%
3 91
 
3.7%
Other Letter
ValueCountFrequency (%)
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%

Most occurring scripts

ValueCountFrequency (%)
Common 2435
99.4%
Hangul 14
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
4 633
26.0%
8 420
17.2%
7 248
 
10.2%
9 239
 
9.8%
5 185
 
7.6%
0 176
 
7.2%
2 175
 
7.2%
6 167
 
6.9%
1 101
 
4.1%
3 91
 
3.7%
Hangul
ValueCountFrequency (%)
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2435
99.4%
Hangul 14
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 633
26.0%
8 420
17.2%
7 248
 
10.2%
9 239
 
9.8%
5 185
 
7.6%
0 176
 
7.2%
2 175
 
7.2%
6 167
 
6.9%
1 101
 
4.1%
3 91
 
3.7%
Hangul
ValueCountFrequency (%)
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%

rdnwhladdr
Text

MISSING 

Distinct180
Distinct (%)35.7%
Missing6
Missing (%)1.2%
Memory size4.1 KiB
2024-04-16T20:35:11.121091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length33.55754
Min length22

Characters and Unicode

Total characters16913
Distinct characters284
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

Unique87 ?
Unique (%)17.3%

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 504
 
15.5%
해운대구 135
 
4.1%
우동 91
 
2.8%
부산진구 88
 
2.7%
76
 
2.3%
중앙대로 56
 
1.7%
55
 
1.7%
부전동 53
 
1.6%
중구 53
 
1.6%
해운대로 46
 
1.4%
Other values (453) 2101
64.5%
2024-04-16T20:35:11.482131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2779
 
16.4%
720
 
4.3%
673
 
4.0%
624
 
3.7%
567
 
3.4%
562
 
3.3%
* 516
 
3.1%
506
 
3.0%
499
 
3.0%
) 494
 
2.9%
Other values (274) 8973
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9995
59.1%
Space Separator 2779
 
16.4%
Decimal Number 1938
 
11.5%
Other Punctuation 990
 
5.9%
Close Punctuation 497
 
2.9%
Open Punctuation 497
 
2.9%
Uppercase Letter 159
 
0.9%
Dash Punctuation 30
 
0.2%
Lowercase Letter 16
 
0.1%
Math Symbol 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
720
 
7.2%
673
 
6.7%
624
 
6.2%
567
 
5.7%
562
 
5.6%
506
 
5.1%
499
 
5.0%
491
 
4.9%
396
 
4.0%
216
 
2.2%
Other values (233) 4741
47.4%
Uppercase Letter
ValueCountFrequency (%)
K 35
22.0%
T 21
13.2%
S 19
11.9%
G 15
9.4%
B 12
 
7.5%
C 11
 
6.9%
H 10
 
6.3%
U 10
 
6.3%
Y 9
 
5.7%
N 8
 
5.0%
Other values (3) 9
 
5.7%
Decimal Number
ValueCountFrequency (%)
1 365
18.8%
2 268
13.8%
3 215
11.1%
0 213
11.0%
6 168
8.7%
5 162
8.4%
7 158
8.2%
4 147
7.6%
9 122
 
6.3%
8 120
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
e 5
31.2%
o 3
18.8%
r 2
 
12.5%
h 2
 
12.5%
p 1
 
6.2%
l 1
 
6.2%
i 1
 
6.2%
v 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 516
52.1%
, 459
46.4%
& 15
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 494
99.4%
] 3
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 494
99.4%
[ 3
 
0.6%
Space Separator
ValueCountFrequency (%)
2779
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9995
59.1%
Common 6743
39.9%
Latin 175
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
720
 
7.2%
673
 
6.7%
624
 
6.2%
567
 
5.7%
562
 
5.6%
506
 
5.1%
499
 
5.0%
491
 
4.9%
396
 
4.0%
216
 
2.2%
Other values (233) 4741
47.4%
Latin
ValueCountFrequency (%)
K 35
20.0%
T 21
12.0%
S 19
10.9%
G 15
8.6%
B 12
 
6.9%
C 11
 
6.3%
H 10
 
5.7%
U 10
 
5.7%
Y 9
 
5.1%
N 8
 
4.6%
Other values (11) 25
14.3%
Common
ValueCountFrequency (%)
2779
41.2%
* 516
 
7.7%
) 494
 
7.3%
( 494
 
7.3%
, 459
 
6.8%
1 365
 
5.4%
2 268
 
4.0%
3 215
 
3.2%
0 213
 
3.2%
6 168
 
2.5%
Other values (10) 772
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9995
59.1%
ASCII 6918
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2779
40.2%
* 516
 
7.5%
) 494
 
7.1%
( 494
 
7.1%
, 459
 
6.6%
1 365
 
5.3%
2 268
 
3.9%
3 215
 
3.1%
0 213
 
3.1%
6 168
 
2.4%
Other values (31) 947
 
13.7%
Hangul
ValueCountFrequency (%)
720
 
7.2%
673
 
6.7%
624
 
6.2%
567
 
5.7%
562
 
5.6%
506
 
5.1%
499
 
5.0%
491
 
4.9%
396
 
4.0%
216
 
2.2%
Other values (233) 4741
47.4%

apvpermymd
Real number (ℝ)

Distinct177
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20126450
Minimum19451015
Maximum20220921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-16T20:35:11.603839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19451015
5-th percentile20000529
Q120060926
median20161072
Q320200330
95-th percentile20220171
Maximum20220921
Range769906
Interquartile range (IQR)139404

Descriptive statistics

Standard deviation89922.156
Coefficient of variation (CV)0.0044678597
Kurtosis8.1524434
Mean20126450
Median Absolute Deviation (MAD)50143.5
Skewness-1.7698299
Sum1.026449 × 1010
Variance8.0859941 × 109
MonotonicityNot monotonic
2024-04-16T20:35:11.729877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211215 12
 
2.4%
20000529 12
 
2.4%
20190315 12
 
2.4%
20010609 11
 
2.2%
20140822 11
 
2.2%
20071204 10
 
2.0%
20210615 10
 
2.0%
20050307 10
 
2.0%
20090302 10
 
2.0%
20021112 10
 
2.0%
Other values (167) 402
78.8%
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 (%)
20220921 1
0.2%
20220819 2
0.4%
20220729 2
0.4%
20220728 1
0.2%
20220627 1
0.2%
20220624 2
0.4%
20220623 2
0.4%
20220621 2
0.4%
20220511 1
0.2%
20220427 2
0.4%

dcbymd
Categorical

IMBALANCE 

Distinct42
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
339 
폐업일자
87 
20170315
 
10
20110616
 
8
20160617
 
8
Other values (37)
58 

Length

Max length8
Median length4
Mean length4.6588235
Min length4

Unique

Unique27 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 339
66.5%
폐업일자 87
 
17.1%
20170315 10
 
2.0%
20110616 8
 
1.6%
20160617 8
 
1.6%
20100806 7
 
1.4%
20001201 4
 
0.8%
20070725 3
 
0.6%
20200921 3
 
0.6%
20210806 3
 
0.6%
Other values (32) 38
 
7.5%

Length

2024-04-16T20:35:11.868624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 339
66.5%
폐업일자 87
 
17.1%
20170315 10
 
2.0%
20110616 8
 
1.6%
20160617 8
 
1.6%
20100806 7
 
1.4%
20001201 4
 
0.8%
20070725 3
 
0.6%
20200921 3
 
0.6%
20210806 3
 
0.6%
Other values (32) 38
 
7.5%

clgstdt
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
휴업시작일자
92 

Length

Max length6
Median length4
Mean length4.3607843
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
휴업시작일자 92
 
18.0%

Length

2024-04-16T20:35:11.985937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:12.072155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
휴업시작일자 92
 
18.0%

clgenddt
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
휴업종료일자
92 

Length

Max length6
Median length4
Mean length4.3607843
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
휴업종료일자 92
 
18.0%

Length

2024-04-16T20:35:12.162926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:12.513550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
휴업종료일자 92
 
18.0%

ropnymd
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
재개업일자
92 

Length

Max length5
Median length4
Mean length4.1803922
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
재개업일자 92
 
18.0%

Length

2024-04-16T20:35:12.592740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:12.669570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
재개업일자 92
 
18.0%

trdstatenm
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
영업/정상
384 
03
56 
13
40 
폐업
 
17
제외/삭제/전출
 
11
Other values (2)
 
2

Length

Max length8
Median length5
Mean length4.3921569
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 384
75.3%
03 56
 
11.0%
13 40
 
7.8%
폐업 17
 
3.3%
제외/삭제/전출 11
 
2.2%
35 1
 
0.2%
<NA> 1
 
0.2%

Length

2024-04-16T20:35:12.754743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:12.845243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 384
75.3%
03 56
 
11.0%
13 40
 
7.8%
폐업 17
 
3.3%
제외/삭제/전출 11
 
2.2%
35 1
 
0.2%
na 1
 
0.2%

dtlstatenm
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
영업중
425 
폐업
73 
전출
 
11
직권말소
 
1

Length

Max length4
Median length3
Mean length2.8372549
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 425
83.3%
폐업 73
 
14.3%
전출 11
 
2.2%
직권말소 1
 
0.2%

Length

2024-04-16T20:35:12.951438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:13.040500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 425
83.3%
폐업 73
 
14.3%
전출 11
 
2.2%
직권말소 1
 
0.2%

x
Real number (ℝ)

MISSING 

Distinct145
Distinct (%)28.8%
Missing6
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean389658.79
Minimum373470.6
Maximum401669
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-16T20:35:13.128884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum373470.6
5-th percentile379320.52
Q1385622.78
median389751.94
Q3393674.03
95-th percentile398305.03
Maximum401669
Range28198.396
Interquartile range (IQR)8051.2525

Descriptive statistics

Standard deviation5797.5089
Coefficient of variation (CV)0.014878424
Kurtosis0.1313734
Mean389658.79
Median Absolute Deviation (MAD)3972.7178
Skewness-0.36009598
Sum1.9638803 × 108
Variance33611109
MonotonicityNot monotonic
2024-04-16T20:35:13.237944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393674.032955782 25
 
4.9%
388011.197829908 12
 
2.4%
387608.014165034 11
 
2.2%
387271.299492377 11
 
2.2%
385622.780457355 11
 
2.2%
396915.143441 10
 
2.0%
393952.264486105 10
 
2.0%
398310.243451 10
 
2.0%
394083.501537578 10
 
2.0%
389816.233000769 9
 
1.8%
Other values (135) 385
75.5%
ValueCountFrequency (%)
373470.60373869 7
1.4%
374253.112340712 7
1.4%
377557.995908 1
 
0.2%
378656.720935232 1
 
0.2%
379212.079721725 5
1.0%
379240.573215267 3
0.6%
379280.632039 2
 
0.4%
379546.541691789 1
 
0.2%
379635.65262 1
 
0.2%
380509.783073762 7
1.4%
ValueCountFrequency (%)
401669.0 6
1.2%
401646.70301259 3
 
0.6%
401170.585261685 1
 
0.2%
400819.975248202 1
 
0.2%
398757.078098629 1
 
0.2%
398628.503470003 2
 
0.4%
398330.516530402 2
 
0.4%
398310.243451 10
2.0%
398275.475596001 1
 
0.2%
398269.05154158 7
1.4%

y
Real number (ℝ)

MISSING 

Distinct145
Distinct (%)28.8%
Missing6
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean187527.89
Minimum178757.42
Maximum206353.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-16T20:35:13.377769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum178757.42
5-th percentile179452.22
Q1185310.71
median187480.44
Q3189911.43
95-th percentile195491.52
Maximum206353.86
Range27596.432
Interquartile range (IQR)4600.7252

Descriptive statistics

Standard deviation5358.3386
Coefficient of variation (CV)0.028573555
Kurtosis1.9661239
Mean187527.89
Median Absolute Deviation (MAD)2169.7385
Skewness0.92868388
Sum94514058
Variance28711793
MonotonicityNot monotonic
2024-04-16T20:35:13.513314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187973.297243244 25
 
4.9%
185310.70532509 12
 
2.4%
185703.079007724 11
 
2.2%
186099.137533193 11
 
2.2%
179452.224754792 11
 
2.2%
187480.443811 10
 
2.0%
187602.933160728 10
 
2.0%
188031.67198 10
 
2.0%
187707.586117775 10
 
2.0%
193329.605871168 9
 
1.8%
Other values (135) 385
75.5%
ValueCountFrequency (%)
178757.423271048 7
1.4%
178872.461747926 1
 
0.2%
178919.583231221 7
1.4%
179411.189506548 1
 
0.2%
179452.224754792 11
2.2%
179597.592953541 6
1.2%
179823.23303496 4
 
0.8%
179885.813689 2
 
0.4%
179911.285409 5
1.0%
179919.437009 4
 
0.8%
ValueCountFrequency (%)
206353.855586145 2
 
0.4%
204621.655738547 5
1.0%
204597.0 5
1.0%
204401.691446 6
1.2%
196220.454694204 1
 
0.2%
195833.199326362 1
 
0.2%
195491.519782 8
1.6%
195029.489621392 1
 
0.2%
194992.355262 2
 
0.4%
194681.150958776 7
1.4%

lastmodts
Real number (ℝ)

Distinct414
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0195237 × 1013
Minimum2.0030127 × 1013
Maximum2.0220921 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-16T20:35:13.643019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030127 × 1013
5-th percentile2.0110616 × 1013
Q12.0190322 × 1013
median2.0210423 × 1013
Q32.021122 × 1013
95-th percentile2.0220708 × 1013
Maximum2.0220921 × 1013
Range1.9079398 × 1011
Interquartile range (IQR)2.0898011 × 1010

Descriptive statistics

Standard deviation3.3963474 × 1010
Coefficient of variation (CV)0.0016817566
Kurtosis7.1395587
Mean2.0195237 × 1013
Median Absolute Deviation (MAD)9.6820109 × 109
Skewness-2.5801959
Sum1.0299571 × 1016
Variance1.1535176 × 1021
MonotonicityNot monotonic
2024-04-16T20:35:13.762624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20211220133338 5
 
1.0%
20190920121341 5
 
1.0%
20210421091411 5
 
1.0%
20191017170859 4
 
0.8%
20030127161348 4
 
0.8%
20211220161532 4
 
0.8%
20211221180318 4
 
0.8%
20211217153628 4
 
0.8%
20211217153629 3
 
0.6%
20200103170215 3
 
0.6%
Other values (404) 469
92.0%
ValueCountFrequency (%)
20030127161348 4
0.8%
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 (%)
20220921145352 1
0.2%
20220921145342 1
0.2%
20220921145332 1
0.2%
20220921145324 1
0.2%
20220921145314 1
0.2%
20220921145304 1
0.2%
20220921145254 1
0.2%
20220921145244 1
0.2%
20220921131718 1
0.2%
20220921131707 1
0.2%

uptaenm
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
업태구분명
92 

Length

Max length5
Median length4
Mean length4.1803922
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
업태구분명 92
 
18.0%

Length

2024-04-16T20:35:13.874499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:13.950656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
업태구분명 92
 
18.0%

sitetel
Categorical

Distinct43
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
051-123-1234
191 
<NA>
108 
전화번호
52 
910-1411
 
12
070-7495-8542
 
11
Other values (38)
136 

Length

Max length13
Median length12
Mean length9.3705882
Min length4

Unique

Unique14 ?
Unique (%)2.7%

Sample

1st row051-123-1234
2nd row070-7438-5100
3rd row070-7438-5100
4th row070-7438-5100
5th row051-123-1234

Common Values

ValueCountFrequency (%)
051-123-1234 191
37.5%
<NA> 108
21.2%
전화번호 52
 
10.2%
910-1411 12
 
2.4%
070-7495-8542 11
 
2.2%
051-366-2200 9
 
1.8%
051-745-2883 8
 
1.6%
051-581-5950 7
 
1.4%
051-507-0202 7
 
1.4%
364-0480 7
 
1.4%
Other values (33) 98
19.2%

Length

2024-04-16T20:35:14.049622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
051-123-1234 191
37.5%
na 108
21.2%
전화번호 52
 
10.2%
910-1411 12
 
2.4%
070-7495-8542 11
 
2.2%
051-366-2200 9
 
1.8%
051-745-2883 8
 
1.6%
364-0480 7
 
1.4%
070-4159-8881 7
 
1.4%
070-7465-3972 7
 
1.4%
Other values (33) 98
19.2%

bdngsrvnm
Categorical

Distinct7
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
311 
문화시설
88 
건물용도명
82 
근린생활시설
 
13
유통시설
 
9
Other values (2)
 
7

Length

Max length6
Median length4
Mean length4.1862745
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 311
61.0%
문화시설 88
 
17.3%
건물용도명 82
 
16.1%
근린생활시설 13
 
2.5%
유통시설 9
 
1.8%
호텔 6
 
1.2%
사무실 1
 
0.2%

Length

2024-04-16T20:35:14.158560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:14.255171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 311
61.0%
문화시설 88
 
17.3%
건물용도명 82
 
16.1%
근린생활시설 13
 
2.5%
유통시설 9
 
1.8%
호텔 6
 
1.2%
사무실 1
 
0.2%

perplaformsenm
Categorical

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
영화관
294 
<NA>
137 
공연장형태구분명
75 
자동차극장
 
4

Length

Max length8
Median length3
Mean length4.0196078
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 294
57.6%
<NA> 137
26.9%
공연장형태구분명 75
 
14.7%
자동차극장 4
 
0.8%

Length

2024-04-16T20:35:14.355166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:14.440096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 294
57.6%
na 137
26.9%
공연장형태구분명 75
 
14.7%
자동차극장 4
 
0.8%
Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
기존게임업외업종명
92 

Length

Max length9
Median length4
Mean length4.9019608
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
기존게임업외업종명 92
 
18.0%

Length

2024-04-16T20:35:14.544454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:14.625898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
기존게임업외업종명 92
 
18.0%

noroomcnt
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
331 
0
116 
노래방실수
63 

Length

Max length5
Median length4
Mean length3.4411765
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 331
64.9%
0 116
 
22.7%
노래방실수 63
 
12.4%

Length

2024-04-16T20:35:14.719590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:14.809557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 331
64.9%
0 116
 
22.7%
노래방실수 63
 
12.4%

culwrkrsenm
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
227 
영화상영관
196 
문화사업자구분명
87 

Length

Max length8
Median length5
Mean length5.0666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 227
44.5%
영화상영관 196
38.4%
문화사업자구분명 87
 
17.1%

Length

2024-04-16T20:35:14.901150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:14.987269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 227
44.5%
영화상영관 196
38.4%
문화사업자구분명 87
 
17.1%

culphyedcobnm
Categorical

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
영화상영관
302 
영화제작업
141 
영화배급업
33 
영화상영업
 
24
영화수입업
 
8

Length

Max length5
Median length5
Mean length4.9960784
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 302
59.2%
영화제작업 141
27.6%
영화배급업 33
 
6.5%
영화상영업 24
 
4.7%
영화수입업 8
 
1.6%
<NA> 2
 
0.4%

Length

2024-04-16T20:35:15.087828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:15.177691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 302
59.2%
영화제작업 141
27.6%
영화배급업 33
 
6.5%
영화상영업 24
 
4.7%
영화수입업 8
 
1.6%
na 2
 
0.4%

souarfacilyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
92 

Length

Max length4
Median length4
Mean length3.4588235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
92
 
18.0%

Length

2024-04-16T20:35:15.276361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:15.356550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
92
 
18.0%

vdoretornm
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
비디오재생기명
92 

Length

Max length7
Median length4
Mean length4.5411765
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
비디오재생기명 92
 
18.0%

Length

2024-04-16T20:35:15.436782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:15.522153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
비디오재생기명 92
 
18.0%

emerstairyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
92 

Length

Max length4
Median length4
Mean length3.4588235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
92
 
18.0%

Length

2024-04-16T20:35:15.617454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:15.701178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
92
 
18.0%

emexyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
92 

Length

Max length4
Median length4
Mean length3.4588235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
92
 
18.0%

Length

2024-04-16T20:35:15.783146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:15.866616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
92
 
18.0%

firefacilyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
92 

Length

Max length4
Median length4
Mean length3.4588235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
92
 
18.0%

Length

2024-04-16T20:35:15.952696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:16.031334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
92
 
18.0%

facilar
Categorical

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
325 
0
116 
시설면적
63 
1578.8
 
4
147.46
 
1

Length

Max length6
Median length4
Mean length3.3392157
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 325
63.7%
0 116
 
22.7%
시설면적 63
 
12.4%
1578.8 4
 
0.8%
147.46 1
 
0.2%
181.3 1
 
0.2%

Length

2024-04-16T20:35:16.121408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:16.205823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 325
63.7%
0 116
 
22.7%
시설면적 63
 
12.4%
1578.8 4
 
0.8%
147.46 1
 
0.2%
181.3 1
 
0.2%

soundfacilyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
92 

Length

Max length4
Median length4
Mean length3.4588235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
92
 
18.0%

Length

2024-04-16T20:35:16.300172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:16.380922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
92
 
18.0%

autochaairyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
92 

Length

Max length4
Median length4
Mean length3.4588235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
92
 
18.0%

Length

2024-04-16T20:35:16.464316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:16.559792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
92
 
18.0%

prvdgathinnm
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
제공게임물명
92 

Length

Max length6
Median length4
Mean length4.3607843
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
제공게임물명 92
 
18.0%

Length

2024-04-16T20:35:16.681751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:16.796885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
제공게임물명 92
 
18.0%

mnfactreartclcn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
제작취급품목내용
92 

Length

Max length8
Median length4
Mean length4.7215686
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
제작취급품목내용 92
 
18.0%

Length

2024-04-16T20:35:16.912674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:17.013390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
제작취급품목내용 92
 
18.0%

lghtfacilyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
92 

Length

Max length4
Median length4
Mean length3.4588235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
92
 
18.0%

Length

2024-04-16T20:35:17.118366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:17.211962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
92
 
18.0%

lghtfacilinillu
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
331 
0
116 
조명시설조도
63 

Length

Max length6
Median length4
Mean length3.5647059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 331
64.9%
0 116
 
22.7%
조명시설조도 63
 
12.4%

Length

2024-04-16T20:35:17.291883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:17.373409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 331
64.9%
0 116
 
22.7%
조명시설조도 63
 
12.4%

nearenvnm
Categorical

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
363 
주변환경명
86 
기타
 
32
유흥업소밀집지역
 
18
아파트지역
 
9

Length

Max length8
Median length4
Mean length4.2176471
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 363
71.2%
주변환경명 86
 
16.9%
기타 32
 
6.3%
유흥업소밀집지역 18
 
3.5%
아파트지역 9
 
1.8%
학교정화(상대) 2
 
0.4%

Length

2024-04-16T20:35:17.465083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:17.556513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 363
71.2%
주변환경명 86
 
16.9%
기타 32
 
6.3%
유흥업소밀집지역 18
 
3.5%
아파트지역 9
 
1.8%
학교정화(상대 2
 
0.4%

jisgnumlay
Categorical

Distinct23
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
150 
0
60 
지상층수
53 
10
43 
7
28 
Other values (18)
176 

Length

Max length4
Median length2
Mean length2.4490196
Min length1

Unique

Unique4 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 150
29.4%
0 60
 
11.8%
지상층수 53
 
10.4%
10 43
 
8.4%
7 28
 
5.5%
9 27
 
5.3%
5 20
 
3.9%
8 19
 
3.7%
42 17
 
3.3%
13 15
 
2.9%
Other values (13) 78
15.3%

Length

2024-04-16T20:35:17.659693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 150
29.4%
0 60
 
11.8%
지상층수 53
 
10.4%
10 43
 
8.4%
7 28
 
5.5%
9 27
 
5.3%
5 20
 
3.9%
8 19
 
3.7%
42 17
 
3.3%
13 15
 
2.9%
Other values (13) 78
15.3%

regnsenm
Categorical

IMBALANCE 

Distinct10
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
350 
지역구분명
85 
일반상업지역
 
30
상업지역
 
16
중심상업지역
 
12
Other values (5)
 
17

Length

Max length6
Median length4
Mean length4.3627451
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 350
68.6%
지역구분명 85
 
16.7%
일반상업지역 30
 
5.9%
상업지역 16
 
3.1%
중심상업지역 12
 
2.4%
녹지지역 8
 
1.6%
일반주거지역 4
 
0.8%
근린상업지역 3
 
0.6%
주거지역 1
 
0.2%
일반공업지역 1
 
0.2%

Length

2024-04-16T20:35:17.769466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:17.874917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 350
68.6%
지역구분명 85
 
16.7%
일반상업지역 30
 
5.9%
상업지역 16
 
3.1%
중심상업지역 12
 
2.4%
녹지지역 8
 
1.6%
일반주거지역 4
 
0.8%
근린상업지역 3
 
0.6%
주거지역 1
 
0.2%
일반공업지역 1
 
0.2%

undernumlay
Categorical

Distinct12
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
158 
5
65 
0
60 
지하층수
54 
2
53 
Other values (7)
120 

Length

Max length4
Median length1
Mean length2.2509804
Min length1

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 158
31.0%
5 65
12.7%
0 60
 
11.8%
지하층수 54
 
10.6%
2 53
 
10.4%
1 35
 
6.9%
3 24
 
4.7%
4 21
 
4.1%
6 20
 
3.9%
8 18
 
3.5%
Other values (2) 2
 
0.4%

Length

2024-04-16T20:35:18.280149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 158
31.0%
5 65
12.7%
0 60
 
11.8%
지하층수 54
 
10.6%
2 53
 
10.4%
1 35
 
6.9%
3 24
 
4.7%
4 21
 
4.1%
6 20
 
3.9%
8 18
 
3.5%
Other values (2) 2
 
0.4%

bgroomcnt
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
331 
0
116 
청소년실수
63 

Length

Max length5
Median length4
Mean length3.4411765
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 331
64.9%
0 116
 
22.7%
청소년실수 63
 
12.4%

Length

2024-04-16T20:35:18.385247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:18.478286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 331
64.9%
0 116
 
22.7%
청소년실수 63
 
12.4%

bgroomyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
92 

Length

Max length4
Median length4
Mean length3.4588235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
92
 
18.0%

Length

2024-04-16T20:35:18.564197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:18.653879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
92
 
18.0%

totgasyscnt
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
331 
0
116 
총게임기수
63 

Length

Max length5
Median length4
Mean length3.4411765
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 331
64.9%
0 116
 
22.7%
총게임기수 63
 
12.4%

Length

2024-04-16T20:35:18.764843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:18.851505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 331
64.9%
0 116
 
22.7%
총게임기수 63
 
12.4%

totnumlay
Categorical

Distinct20
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
225 
0
77 
총층수
56 
10
 
20
12
 
13
Other values (15)
119 

Length

Max length4
Median length3
Mean length2.7764706
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 225
44.1%
0 77
 
15.1%
총층수 56
 
11.0%
10 20
 
3.9%
12 13
 
2.5%
9 12
 
2.4%
6 12
 
2.4%
11 12
 
2.4%
18 11
 
2.2%
19 10
 
2.0%
Other values (10) 62
 
12.2%

Length

2024-04-16T20:35:18.942062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 225
44.1%
0 77
 
15.1%
총층수 56
 
11.0%
10 20
 
3.9%
12 13
 
2.5%
9 12
 
2.4%
6 12
 
2.4%
11 12
 
2.4%
18 11
 
2.2%
19 10
 
2.0%
Other values (10) 62
 
12.2%

frstregts
Real number (ℝ)

Distinct176
Distinct (%)34.6%
Missing2
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean20126080
Minimum19451015
Maximum20220921
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2024-04-16T20:35:19.067975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19451015
5-th percentile20000529
Q120060901
median20161013
Q320200330
95-th percentile20220123
Maximum20220921
Range769906
Interquartile range (IQR)139429.25

Descriptive statistics

Standard deviation89905.035
Coefficient of variation (CV)0.0044670912
Kurtosis8.1712678
Mean20126080
Median Absolute Deviation (MAD)50202
Skewness-1.7699827
Sum1.0224049 × 1010
Variance8.0829154 × 109
MonotonicityNot monotonic
2024-04-16T20:35:19.208634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000529 12
 
2.4%
20190315 12
 
2.4%
20211215 12
 
2.4%
20140822 11
 
2.2%
20010609 11
 
2.2%
20071204 10
 
2.0%
20021112 10
 
2.0%
20050307 10
 
2.0%
20090302 10
 
2.0%
20210615 10
 
2.0%
Other values (166) 400
78.4%
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 (%)
20220921 1
0.2%
20220819 2
0.4%
20220729 2
0.4%
20220728 1
0.2%
20220627 1
0.2%
20220624 2
0.4%
20220623 2
0.4%
20220621 2
0.4%
20220511 1
0.2%
20220426 1
0.2%

pasgbreth
Categorical

Distinct19
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
211 
1
103 
0
94 
통로너비
57 
1.5
 
12
Other values (14)
33 

Length

Max length4
Median length4
Mean length2.7862745
Min length1

Unique

Unique8 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 211
41.4%
1 103
20.2%
0 94
18.4%
통로너비 57
 
11.2%
1.5 12
 
2.4%
1.2 7
 
1.4%
1.45 5
 
1.0%
1.3 4
 
0.8%
1.15 4
 
0.8%
1.7 3
 
0.6%
Other values (9) 10
 
2.0%

Length

2024-04-16T20:35:19.344607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 211
41.4%
1 103
20.2%
0 94
18.4%
통로너비 57
 
11.2%
1.5 12
 
2.4%
1.2 7
 
1.4%
1.45 5
 
1.0%
1.3 4
 
0.8%
1.15 4
 
0.8%
1.7 3
 
0.6%
Other values (9) 10
 
2.0%

speclghtyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
92 

Length

Max length4
Median length4
Mean length3.4588235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
92
 
18.0%

Length

2024-04-16T20:35:19.444230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:19.524406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
92
 
18.0%

cnvefacilyn
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
92 

Length

Max length4
Median length4
Mean length3.4588235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
92
 
18.0%

Length

2024-04-16T20:35:19.623201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:19.712476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
92
 
18.0%

actlnm
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
<NA>
418 
품목명
92 

Length

Max length4
Median length4
Mean length3.8196078
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 418
82.0%
품목명 92
 
18.0%

Length

2024-04-16T20:35:19.800692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T20:35:19.875010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 418
82.0%
품목명 92
 
18.0%

last_load_dttm
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
Minimum2022-11-01 05:20:03
Maximum2022-11-01 05:20:03
2024-04-16T20:35:19.937571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T20:35:20.010473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

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>2022-11-01 05:20:03
123250000CDFF422000201700000303_13_02_PU2021-12-22 02:40:00.0영화상영관롯데시네마 대영 제3관<NA>부산광역시 중구 남포동5가 12-148953부산광역시 중구 비프광장로 37, 6층 (남포동5가)20170309<NA><NA><NA><NA>영업/정상영업중384985.448098179597.59295420211220135303<NA>070-7438-5100<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>2022-11-01 05:20:03
233250000CDFF422000201700000603_13_02_PU2021-12-22 02:40:00.0영화상영관롯데시네마 대영 제6관<NA>부산광역시 중구 남포동5가 12-148953부산광역시 중구 비프광장로 37, 6층 (남포동5가)20170309<NA><NA><NA><NA>영업/정상영업중384985.448098179597.59295420211220135540<NA>070-7438-5100<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>2022-11-01 05:20:03
343250000CDFF422000201700000503_13_02_PU2021-12-22 02:40:00.0영화상영관롯데시네마 대영 제5관지번우편번호부산광역시 중구 남포동5가 12-148953부산광역시 중구 비프광장로 37, 6층 (남포동5가)20170309폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중384985.448098179597.59295420211220135431업태구분명070-7438-5100건물용도명영화관기존게임업외업종명노래방실수문화사업자구분명영화상영관비디오재생기명시설면적제공게임물명제작취급품목내용조명시설조도주변환경명6상업지역4청소년실수총게임기수총층수20170309통로너비품목명2022-11-01 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>2022-11-01 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>2022-11-01 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>2022-11-01 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>2022-11-01 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>2022-11-01 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>2022-11-01 05:20:03
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelbdngsrvnmperplaformsenmbfgameocptectcobnmnoroomcntculwrkrsenmculphyedcobnmsouarfacilynvdoretornmemerstairynemexynfirefacilynfacilarsoundfacilynautochaairynprvdgathinnmmnfactreartclcnlghtfacilynlghtfacilinillunearenvnmjisgnumlayregnsenmundernumlaybgroomcntbgroomyntotgasyscnttotnumlayfrstregtspasgbrethspeclghtyncnvefacilynactlnmlast_load_dttm
50030193360000CDFF521104202100000103_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/정상영업중374253.112341178757.42327120210611144411업태구분명070-4159-8881건물용도명공연장형태구분명기존게임업외업종명노래방실수문화사업자구분명영화상영업비디오재생기명시설면적제공게임물명제작취급품목내용조명시설조도주변환경명지상층수지역구분명지하층수청소년실수총게임기수총층수20210512통로너비품목명2022-11-01 05:20:03
50130203330000CDFF521103202100000303_13_01_PU2022-09-11 02:40:00.0영화배급업주식회사 엠앤미디어<NA>부산광역시 해운대구 우동 ****-* 부산문화콘텐츠컴플렉스 *층 부산콘텐츠코리아랩48058부산광역시 해운대구 수영강변대로 ***, 부산문화콘텐츠컴플렉스 *층 부산콘텐츠코리아랩 (우동)2021051320220908<NA><NA><NA>폐업폐업393573.517297188018.68713820220908151458<NA><NA><NA><NA><NA>0<NA>영화배급업<NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>0<NA>0<NA>00<NA>00202105130<NA><NA><NA>2022-11-01 05:20:03
50230213330000CDFF521101202100000503_13_05_PU2022-09-11 02:40:00.0영화제작업주식회사 엠앤미디어<NA>부산광역시 해운대구 우동 ****-* 부산문화콘텐츠컴플렉스 *층 부산콘텐츠코리아랩48058부산광역시 해운대구 수영강변대로 ***, 부산문화콘텐츠컴플렉스 *층 부산콘텐츠코리아랩 (우동)2021051320220908<NA><NA><NA>폐업폐업393573.517297188018.68713820220908143548<NA><NA><NA><NA><NA>0<NA>영화제작업<NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>0<NA>0<NA>00<NA>00202105130<NA><NA><NA>2022-11-01 05:20:03
50330223250000CDFF521102202100000103_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>2022-11-01 05:20:03
50430233250000CDFF521103202100000103_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>2022-11-01 05:20:03
50530243250000CDFF521101202100000203_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>2022-11-01 05:20:03
50630253290000CDFF521104202100000103_13_03_PU2021-09-19 02:40:00.0영화상영업삼정프라퍼티 주식회사지번우편번호부산광역시 부산진구 부전동 227-2 삼정타워47296부산광역시 부산진구 중앙대로 672, 삼정타워 11층 (부전동)20210521폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업중387608.014165185703.07900820210917145721업태구분명051-520-3766건물용도명공연장형태구분명기존게임업외업종명노래방실수문화사업자구분명영화상영업비디오재생기명시설면적제공게임물명제작취급품목내용조명시설조도주변환경명지상층수지역구분명지하층수청소년실수총게임기수총층수20210521통로너비품목명2022-11-01 05:20:03
50731143370000CDFF521101202200000103_13_05_PI2022-08-21 00:22:27.0영화제작업경 필름<NA>부산광역시 연제구 연산동 ***-* 한양아파트47566부산광역시 연제구 온천천남로 ***, **동 ***호 (연산동, 한양아파트)20220819<NA><NA><NA><NA>영업/정상영업중391504.565166189919.18534320220819102726<NA>051-759-1434<NA><NA><NA>0<NA>영화제작업<NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>0<NA>0<NA>00<NA>00202208190<NA><NA><NA>2022-11-01 05:20:03
50831153370000CDFF521101202200000103_13_05_PI2022-08-21 00:22:27.0영화제작업경 필름<NA>부산광역시 연제구 연산동 ***-* 한양아파트47566부산광역시 연제구 온천천남로 ***, **동 ***호 (연산동, 한양아파트)20220819<NA><NA><NA><NA>영업/정상영업중391504.565166189919.18534320220819102726<NA>051-759-1434<NA><NA><NA>0<NA>영화제작업<NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>0<NA>0<NA>00<NA>00202208190<NA><NA><NA>2022-11-01 05:20:03
50931163330000CDFF521101202200000803_13_05_PU2022-09-15 02:40:00.0영화제작업배CINE PRODUCTION(배씨네 프로덕션)<NA>부산광역시 해운대구 우동 ****-* 영상산업센터48058부산광역시 해운대구 센텀서로 **, 영상산업센터 ***호 (우동)20210709<NA><NA><NA><NA>영업/정상영업중393674.032956187973.29724320220913080438<NA><NA><NA><NA><NA>0<NA>영화제작업<NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>0<NA>0<NA>00<NA>00202107090<NA><NA><NA>2022-11-01 05:20:03