Overview

Dataset statistics

Number of variables51
Number of observations6245
Missing cells5618
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory413.0 B

Variable types

Numeric5
Text9
Categorical34
DateTime1
Boolean2

Alerts

balhansilyn has constant value ""Constant
opnsvcid is highly imbalanced (93.8%)Imbalance
clgstdt is highly imbalanced (66.2%)Imbalance
clgenddt is highly imbalanced (66.2%)Imbalance
ropnymd is highly imbalanced (66.2%)Imbalance
dtlstatenm is highly imbalanced (59.0%)Imbalance
uptaenm is highly imbalanced (76.8%)Imbalance
bdngjisgflrcnt is highly imbalanced (52.9%)Imbalance
bdngunderflrcnt is highly imbalanced (56.1%)Imbalance
maneipcnt is highly imbalanced (72.6%)Imbalance
sjyn is highly imbalanced (66.2%)Imbalance
multusnupsoyn is highly imbalanced (99.8%)Imbalance
useunderendflr is highly imbalanced (54.9%)Imbalance
useunderstflr is highly imbalanced (50.3%)Imbalance
medkind is highly imbalanced (66.2%)Imbalance
wmeipcnt is highly imbalanced (71.0%)Imbalance
trdscp is highly imbalanced (66.2%)Imbalance
sntuptaenm is highly imbalanced (76.8%)Imbalance
chaircnt is highly imbalanced (68.9%)Imbalance
cndpermstymd is highly imbalanced (66.2%)Imbalance
cndpermntwhy is highly imbalanced (66.2%)Imbalance
cndpermendymd is highly imbalanced (66.2%)Imbalance
totscp is highly imbalanced (91.4%)Imbalance
sitepostno has 106 (1.7%) missing valuesMissing
rdnwhladdr has 2051 (32.8%) missing valuesMissing
dcbymd has 2768 (44.3%) missing valuesMissing
x has 275 (4.4%) missing valuesMissing
y has 275 (4.4%) missing valuesMissing
sitetel has 114 (1.8%) missing valuesMissing
apvpermymd is highly skewed (γ1 = -29.948633)Skewed
skey has unique valuesUnique

Reproduction

Analysis started2024-04-16 04:00:18.247415
Analysis finished2024-04-16 04:00:20.241763
Duration1.99 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct6245
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3123.3111
Minimum1
Maximum6247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.0 KiB
2024-04-16T13:00:20.293922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile313.2
Q11562
median3123
Q34684
95-th percentile5934.8
Maximum6247
Range6246
Interquartile range (IQR)3122

Descriptive statistics

Standard deviation1803.3604
Coefficient of variation (CV)0.57738736
Kurtosis-1.1996686
Mean3123.3111
Median Absolute Deviation (MAD)1561
Skewness0.00054160972
Sum19505078
Variance3252108.6
MonotonicityNot monotonic
2024-04-16T13:00:20.397423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 1
 
< 0.1%
4146 1
 
< 0.1%
4168 1
 
< 0.1%
4167 1
 
< 0.1%
4166 1
 
< 0.1%
4165 1
 
< 0.1%
4164 1
 
< 0.1%
4163 1
 
< 0.1%
4162 1
 
< 0.1%
4161 1
 
< 0.1%
Other values (6235) 6235
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
6247 1
< 0.1%
6246 1
< 0.1%
6245 1
< 0.1%
6244 1
< 0.1%
6243 1
< 0.1%
6242 1
< 0.1%
6241 1
< 0.1%
6240 1
< 0.1%
6239 1
< 0.1%
6238 1
< 0.1%

opnsfteamcode
Real number (ℝ)

Distinct175
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3519869.3
Minimum3000000
Maximum6520000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.0 KiB
2024-04-16T13:00:20.507774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3250000
Q13300000
median3330000
Q33390000
95-th percentile4850000
Maximum6520000
Range3520000
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation534101.65
Coefficient of variation (CV)0.15173906
Kurtosis8.6511175
Mean3519869.3
Median Absolute Deviation (MAD)40000
Skewness2.946124
Sum2.1981584 × 1010
Variance2.8526458 × 1011
MonotonicityNot monotonic
2024-04-16T13:00:20.622372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3300000 540
 
8.6%
3290000 489
 
7.8%
3340000 434
 
6.9%
3330000 432
 
6.9%
3320000 420
 
6.7%
3350000 376
 
6.0%
3310000 347
 
5.6%
3370000 340
 
5.4%
3390000 325
 
5.2%
3380000 257
 
4.1%
Other values (165) 2285
36.6%
ValueCountFrequency (%)
3000000 3
 
< 0.1%
3010000 6
0.1%
3020000 14
0.2%
3030000 13
0.2%
3040000 11
0.2%
3050000 9
0.1%
3060000 10
0.2%
3070000 10
0.2%
3080000 8
0.1%
3090000 6
0.1%
ValueCountFrequency (%)
6520000 2
 
< 0.1%
6510000 20
0.3%
5710000 33
0.5%
5700000 1
 
< 0.1%
5690000 9
 
0.1%
5680000 5
 
0.1%
5670000 18
0.3%
5600000 3
 
< 0.1%
5590000 13
 
0.2%
5580000 4
 
0.1%

mgtno
Text

Distinct5845
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
2024-04-16T13:00:20.799683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length22.021617
Min length22

Characters and Unicode

Total characters137525
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5623 ?
Unique (%)90.0%

Sample

1st row3250000-205-2000-00006
2nd row3250000-205-1987-00594
3rd row3250000-205-1987-00590
4th row3250000-205-1993-00618
5th row3250000-205-1994-00626
ValueCountFrequency (%)
3770000-205-2020-00001 4
 
0.1%
5530000-205-2020-00006 4
 
0.1%
3900000-205-2019-00003 3
 
< 0.1%
4810000-205-2019-00005 3
 
< 0.1%
3620000-205-2019-00005 3
 
< 0.1%
4190000-205-2019-00007 3
 
< 0.1%
3430000-205-2018-00003 3
 
< 0.1%
3920000-205-2019-00001 3
 
< 0.1%
3760000-205-2019-00004 3
 
< 0.1%
4080000-205-2019-00004 3
 
< 0.1%
Other values (5835) 6213
99.5%
2024-04-16T13:00:21.099353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 55569
40.4%
- 18600
 
13.5%
2 14332
 
10.4%
3 11645
 
8.5%
5 9074
 
6.6%
1 8319
 
6.0%
9 7997
 
5.8%
8 3678
 
2.7%
4 3040
 
2.2%
7 3007
 
2.2%
Other values (5) 2264
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 118745
86.3%
Dash Punctuation 18600
 
13.5%
Uppercase Letter 180
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55569
46.8%
2 14332
 
12.1%
3 11645
 
9.8%
5 9074
 
7.6%
1 8319
 
7.0%
9 7997
 
6.7%
8 3678
 
3.1%
4 3040
 
2.6%
7 3007
 
2.5%
6 2084
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
P 45
25.0%
H 45
25.0%
M 45
25.0%
C 45
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 18600
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 137345
99.9%
Latin 180
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 55569
40.5%
- 18600
 
13.5%
2 14332
 
10.4%
3 11645
 
8.5%
5 9074
 
6.6%
1 8319
 
6.1%
9 7997
 
5.8%
8 3678
 
2.7%
4 3040
 
2.2%
7 3007
 
2.2%
Latin
ValueCountFrequency (%)
P 45
25.0%
H 45
25.0%
M 45
25.0%
C 45
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 137525
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 55569
40.4%
- 18600
 
13.5%
2 14332
 
10.4%
3 11645
 
8.5%
5 9074
 
6.6%
1 8319
 
6.0%
9 7997
 
5.8%
8 3678
 
2.7%
4 3040
 
2.2%
7 3007
 
2.2%
Other values (5) 2264
 
1.6%

opnsvcid
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
06_20_01_P
6200 
06_20_02_P
 
45

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row06_20_01_P
2nd row06_20_01_P
3rd row06_20_01_P
4th row06_20_01_P
5th row06_20_01_P

Common Values

ValueCountFrequency (%)
06_20_01_P 6200
99.3%
06_20_02_P 45
 
0.7%

Length

2024-04-16T13:00:21.213497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:21.286439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
06_20_01_p 6200
99.3%
06_20_02_p 45
 
0.7%

updategbn
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
I
5435 
U
810 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 5435
87.0%
U 810
 
13.0%

Length

2024-04-16T13:00:21.364703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:21.437917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 5435
87.0%
u 810
 
13.0%

updatedt
Date

Distinct719
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
Minimum2018-08-31 23:59:59
Maximum2020-12-22 02:40:00
2024-04-16T13:00:21.517357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T13:00:21.626890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

opnsvcnm
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
4485 
세탁업
1715 
의료기관세탁물처리업
 
45

Length

Max length10
Median length4
Mean length3.7686149
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> 4485
71.8%
세탁업 1715
 
27.5%
의료기관세탁물처리업 45
 
0.7%

Length

2024-04-16T13:00:21.738080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:21.817080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4485
71.8%
세탁업 1715
 
27.5%
의료기관세탁물처리업 45
 
0.7%

bplcnm
Text

Distinct3663
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
2024-04-16T13:00:22.025692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length4.8726982
Min length1

Characters and Unicode

Total characters30430
Distinct characters632
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2753 ?
Unique (%)44.1%

Sample

1st row국일세탁소
2nd row백설세탁소
3rd row평화세탁소
4th row월풀빨래방대청점
5th row대신세탁소
ValueCountFrequency (%)
세탁소 281
 
4.0%
세탁 68
 
1.0%
크리닝 56
 
0.8%
현대 56
 
0.8%
빨래방 50
 
0.7%
백성사 47
 
0.7%
백조 40
 
0.6%
백양 39
 
0.6%
현대세탁소 36
 
0.5%
월풀빨래방 36
 
0.5%
Other values (3560) 6368
90.0%
2024-04-16T13:00:22.363374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 3008
 
9.9%
탁 2942
 
9.7%
소 1649
 
5.4%
사 997
 
3.3%
841
 
2.8%
크 659
 
2.2%
백 617
 
2.0%
리 574
 
1.9%
성 558
 
1.8%
대 512
 
1.7%
Other values (622) 18073
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28807
94.7%
Space Separator 841
 
2.8%
Uppercase Letter 219
 
0.7%
Decimal Number 151
 
0.5%
Close Punctuation 133
 
0.4%
Open Punctuation 129
 
0.4%
Lowercase Letter 97
 
0.3%
Other Punctuation 44
 
0.1%
Dash Punctuation 4
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
세 3008
 
10.4%
탁 2942
 
10.2%
소 1649
 
5.7%
사 997
 
3.5%
크 659
 
2.3%
백 617
 
2.1%
리 574
 
2.0%
성 558
 
1.9%
대 512
 
1.8%
동 456
 
1.6%
Other values (554) 16835
58.4%
Uppercase Letter
ValueCountFrequency (%)
K 37
16.9%
S 27
12.3%
C 20
 
9.1%
L 14
 
6.4%
A 13
 
5.9%
M 13
 
5.9%
H 12
 
5.5%
O 12
 
5.5%
G 10
 
4.6%
T 10
 
4.6%
Other values (12) 51
23.3%
Lowercase Letter
ValueCountFrequency (%)
e 23
23.7%
a 14
14.4%
h 9
 
9.3%
n 9
 
9.3%
w 5
 
5.2%
l 5
 
5.2%
s 5
 
5.2%
o 5
 
5.2%
r 4
 
4.1%
i 3
 
3.1%
Other values (9) 15
15.5%
Decimal Number
ValueCountFrequency (%)
1 47
31.1%
2 45
29.8%
4 18
 
11.9%
3 12
 
7.9%
9 8
 
5.3%
5 7
 
4.6%
7 5
 
3.3%
8 4
 
2.6%
6 3
 
2.0%
0 2
 
1.3%
Other Punctuation
ValueCountFrequency (%)
& 15
34.1%
. 14
31.8%
, 6
 
13.6%
! 3
 
6.8%
· 1
 
2.3%
/ 1
 
2.3%
＆ 1
 
2.3%
' 1
 
2.3%
: 1
 
2.3%
# 1
 
2.3%
Math Symbol
ValueCountFrequency (%)
+ 3
75.0%
~ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
841
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 129
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28807
94.7%
Common 1306
 
4.3%
Latin 317
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 3008
 
10.4%
탁 2942
 
10.2%
소 1649
 
5.7%
사 997
 
3.5%
크 659
 
2.3%
백 617
 
2.1%
리 574
 
2.0%
성 558
 
1.9%
대 512
 
1.8%
동 456
 
1.6%
Other values (554) 16835
58.4%
Latin
ValueCountFrequency (%)
K 37
 
11.7%
S 27
 
8.5%
e 23
 
7.3%
C 20
 
6.3%
a 14
 
4.4%
L 14
 
4.4%
A 13
 
4.1%
M 13
 
4.1%
H 12
 
3.8%
O 12
 
3.8%
Other values (32) 132
41.6%
Common
ValueCountFrequency (%)
841
64.4%
) 133
 
10.2%
( 129
 
9.9%
1 47
 
3.6%
2 45
 
3.4%
4 18
 
1.4%
& 15
 
1.1%
. 14
 
1.1%
3 12
 
0.9%
9 8
 
0.6%
Other values (16) 44
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28807
94.7%
ASCII 1620
 
5.3%
None 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 3008
 
10.4%
탁 2942
 
10.2%
소 1649
 
5.7%
사 997
 
3.5%
크 659
 
2.3%
백 617
 
2.1%
리 574
 
2.0%
성 558
 
1.9%
대 512
 
1.8%
동 456
 
1.6%
Other values (554) 16835
58.4%
ASCII
ValueCountFrequency (%)
841
51.9%
) 133
 
8.2%
( 129
 
8.0%
1 47
 
2.9%
2 45
 
2.8%
K 37
 
2.3%
S 27
 
1.7%
e 23
 
1.4%
C 20
 
1.2%
4 18
 
1.1%
Other values (55) 300
 
18.5%
None
ValueCountFrequency (%)
· 1
50.0%
＆ 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

sitepostno
Text

MISSING 

Distinct1675
Distinct (%)27.3%
Missing106
Missing (%)1.7%
Memory size48.9 KiB
2024-04-16T13:00:22.655226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters36834
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique792 ?
Unique (%)12.9%

Sample

1st row600814
2nd row600091
3rd row600074
4th row600803
5th row600803
ValueCountFrequency (%)
619903 36
 
0.6%
604851 33
 
0.5%
616800 28
 
0.5%
607837 28
 
0.5%
612824 27
 
0.4%
지번우편번호 26
 
0.4%
604813 26
 
0.4%
617818 25
 
0.4%
614822 25
 
0.4%
616829 24
 
0.4%
Other values (1665) 5861
95.5%
2024-04-16T13:00:23.041690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 6428
17.5%
8 6100
16.6%
0 5778
15.7%
1 5570
15.1%
2 2847
7.7%
4 2662
7.2%
3 2510
 
6.8%
7 1971
 
5.4%
9 1429
 
3.9%
5 1380
 
3.7%
Other values (6) 159
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36675
99.6%
Other Letter 156
 
0.4%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 6428
17.5%
8 6100
16.6%
0 5778
15.8%
1 5570
15.2%
2 2847
7.8%
4 2662
7.3%
3 2510
 
6.8%
7 1971
 
5.4%
9 1429
 
3.9%
5 1380
 
3.8%
Other Letter
ValueCountFrequency (%)
번 52
33.3%
지 26
16.7%
우 26
16.7%
편 26
16.7%
호 26
16.7%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36678
99.6%
Hangul 156
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
6 6428
17.5%
8 6100
16.6%
0 5778
15.8%
1 5570
15.2%
2 2847
7.8%
4 2662
7.3%
3 2510
 
6.8%
7 1971
 
5.4%
9 1429
 
3.9%
5 1380
 
3.8%
Hangul
ValueCountFrequency (%)
번 52
33.3%
지 26
16.7%
우 26
16.7%
편 26
16.7%
호 26
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36678
99.6%
Hangul 156
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 6428
17.5%
8 6100
16.6%
0 5778
15.8%
1 5570
15.2%
2 2847
7.8%
4 2662
7.3%
3 2510
 
6.8%
7 1971
 
5.4%
9 1429
 
3.9%
5 1380
 
3.8%
Hangul
ValueCountFrequency (%)
번 52
33.3%
지 26
16.7%
우 26
16.7%
편 26
16.7%
호 26
16.7%

sitewhladdr
Text

Distinct5633
Distinct (%)90.5%
Missing19
Missing (%)0.3%
Memory size48.9 KiB
2024-04-16T13:00:23.296233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length55
Mean length26.451494
Min length4

Characters and Unicode

Total characters164687
Distinct characters552
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5237 ?
Unique (%)84.1%

Sample

1st row부산광역시 중구 중앙동4가 86-3번지
2nd row부산광역시 중구 대청동1가 33-8번지
3rd row부산광역시 중구 부평동4가 28-2번지
4th row부산광역시 중구 보수동1가 119-1번지
5th row부산광역시 중구 보수동1가 41-8번지 7통2반
ValueCountFrequency (%)
부산광역시 4741
 
15.6%
t통b반 668
 
2.2%
동래구 540
 
1.8%
부산진구 489
 
1.6%
북구 460
 
1.5%
경기도 450
 
1.5%
사하구 435
 
1.4%
해운대구 432
 
1.4%
남구 377
 
1.2%
금정구 376
 
1.2%
Other values (7948) 21381
70.5%
2024-04-16T13:00:23.672762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29692
 
18.0%
1 7559
 
4.6%
동 7544
 
4.6%
시 6297
 
3.8%
지 6085
 
3.7%
산 6043
 
3.7%
구 5790
 
3.5%
번 5729
 
3.5%
부 5640
 
3.4%
광 5220
 
3.2%
Other values (542) 79088
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95484
58.0%
Decimal Number 32235
 
19.6%
Space Separator 29692
 
18.0%
Dash Punctuation 5112
 
3.1%
Uppercase Letter 1653
 
1.0%
Other Punctuation 188
 
0.1%
Close Punctuation 133
 
0.1%
Open Punctuation 133
 
0.1%
Lowercase Letter 52
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7544
 
7.9%
시 6297
 
6.6%
지 6085
 
6.4%
산 6043
 
6.3%
구 5790
 
6.1%
번 5729
 
6.0%
부 5640
 
5.9%
광 5220
 
5.5%
역 5017
 
5.3%
상 1382
 
1.4%
Other values (480) 40737
42.7%
Uppercase Letter
ValueCountFrequency (%)
B 732
44.3%
T 693
41.9%
A 82
 
5.0%
S 23
 
1.4%
P 22
 
1.3%
K 21
 
1.3%
I 15
 
0.9%
G 10
 
0.6%
C 10
 
0.6%
L 8
 
0.5%
Other values (13) 37
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
e 12
23.1%
s 9
17.3%
c 6
11.5%
i 4
 
7.7%
a 4
 
7.7%
l 3
 
5.8%
t 2
 
3.8%
r 2
 
3.8%
p 2
 
3.8%
k 2
 
3.8%
Other values (6) 6
11.5%
Decimal Number
ValueCountFrequency (%)
1 7559
23.4%
2 4237
13.1%
3 3548
11.0%
0 3014
 
9.4%
4 2928
 
9.1%
5 2672
 
8.3%
6 2348
 
7.3%
7 2124
 
6.6%
8 1982
 
6.1%
9 1823
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 118
62.8%
@ 26
 
13.8%
. 21
 
11.2%
/ 20
 
10.6%
& 1
 
0.5%
' 1
 
0.5%
· 1
 
0.5%
Space Separator
ValueCountFrequency (%)
29692
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 95484
58.0%
Common 67495
41.0%
Latin 1708
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7544
 
7.9%
시 6297
 
6.6%
지 6085
 
6.4%
산 6043
 
6.3%
구 5790
 
6.1%
번 5729
 
6.0%
부 5640
 
5.9%
광 5220
 
5.5%
역 5017
 
5.3%
상 1382
 
1.4%
Other values (480) 40737
42.7%
Latin
ValueCountFrequency (%)
B 732
42.9%
T 693
40.6%
A 82
 
4.8%
S 23
 
1.3%
P 22
 
1.3%
K 21
 
1.2%
I 15
 
0.9%
e 12
 
0.7%
G 10
 
0.6%
C 10
 
0.6%
Other values (30) 88
 
5.2%
Common
ValueCountFrequency (%)
29692
44.0%
1 7559
 
11.2%
- 5112
 
7.6%
2 4237
 
6.3%
3 3548
 
5.3%
0 3014
 
4.5%
4 2928
 
4.3%
5 2672
 
4.0%
6 2348
 
3.5%
7 2124
 
3.1%
Other values (12) 4261
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 95483
58.0%
ASCII 69199
42.0%
Number Forms 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29692
42.9%
1 7559
 
10.9%
- 5112
 
7.4%
2 4237
 
6.1%
3 3548
 
5.1%
0 3014
 
4.4%
4 2928
 
4.2%
5 2672
 
3.9%
6 2348
 
3.4%
7 2124
 
3.1%
Other values (50) 5965
 
8.6%
Hangul
ValueCountFrequency (%)
동 7544
 
7.9%
시 6297
 
6.6%
지 6085
 
6.4%
산 6043
 
6.3%
구 5790
 
6.1%
번 5729
 
6.0%
부 5640
 
5.9%
광 5220
 
5.5%
역 5017
 
5.3%
상 1382
 
1.4%
Other values (479) 40736
42.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

rdnpostno
Real number (ℝ)

Distinct2380
Distinct (%)38.1%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean42939.472
Minimum1045
Maximum63630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.0 KiB
2024-04-16T13:00:23.794775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1045
5-th percentile10048
Q146537
median48424
Q348947
95-th percentile49478
Maximum63630
Range62585
Interquartile range (IQR)2410

Descriptive statistics

Standard deviation13156.98
Coefficient of variation (CV)0.30640758
Kurtosis2.2969796
Mean42939.472
Median Absolute Deviation (MAD)645
Skewness-1.8941299
Sum2.6807112 × 108
Variance1.7310611 × 108
MonotonicityNot monotonic
2024-04-16T13:00:23.898387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48947 2124
34.0%
48052 12
 
0.2%
48055 10
 
0.2%
48093 9
 
0.1%
48057 9
 
0.1%
49316 9
 
0.1%
49441 9
 
0.1%
46997 8
 
0.1%
18479 8
 
0.1%
48516 8
 
0.1%
Other values (2370) 4037
64.6%
ValueCountFrequency (%)
1045 1
 
< 0.1%
1053 1
 
< 0.1%
1055 1
 
< 0.1%
1134 1
 
< 0.1%
1178 3
< 0.1%
1204 1
 
< 0.1%
1379 1
 
< 0.1%
1421 1
 
< 0.1%
1448 1
 
< 0.1%
1452 3
< 0.1%
ValueCountFrequency (%)
63630 1
 
< 0.1%
63559 1
 
< 0.1%
63349 2
< 0.1%
63274 1
 
< 0.1%
63248 1
 
< 0.1%
63238 4
0.1%
63172 1
 
< 0.1%
63112 2
< 0.1%
63102 1
 
< 0.1%
63082 1
 
< 0.1%

rdnwhladdr
Text

MISSING 

Distinct3736
Distinct (%)89.1%
Missing2051
Missing (%)32.8%
Memory size48.9 KiB
2024-04-16T13:00:24.176100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length59
Mean length32.221507
Min length5

Characters and Unicode

Total characters135137
Distinct characters584
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3460 ?
Unique (%)82.5%

Sample

1st row부산광역시 중구 충장대로13번길 14 (중앙동4가)
2nd row부산광역시 중구 복병산길6번길 2-1 (대청동1가)
3rd row부산광역시 중구 흑교로21번길 19-1 (부평동4가)
4th row부산광역시 중구 보동길 96 (보수동1가)
5th row부산광역시 중구 고가길 78-19 (보수동1가)
ValueCountFrequency (%)
부산광역시 2702
 
10.3%
1층 1155
 
4.4%
경기도 455
 
1.7%
해운대구 324
 
1.2%
서울특별시 303
 
1.2%
부산진구 301
 
1.2%
상가동 284
 
1.1%
남구 258
 
1.0%
북구 240
 
0.9%
동래구 237
 
0.9%
Other values (6130) 19850
76.0%
2024-04-16T13:00:24.596176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21916
 
16.2%
1 6332
 
4.7%
동 5624
 
4.2%
시 4417
 
3.3%
로 3936
 
2.9%
( 3925
 
2.9%
) 3925
 
2.9%
구 3724
 
2.8%
산 3716
 
2.7%
부 3409
 
2.5%
Other values (574) 74213
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78835
58.3%
Decimal Number 22177
 
16.4%
Space Separator 21916
 
16.2%
Open Punctuation 3925
 
2.9%
Close Punctuation 3925
 
2.9%
Other Punctuation 3211
 
2.4%
Dash Punctuation 786
 
0.6%
Uppercase Letter 300
 
0.2%
Lowercase Letter 48
 
< 0.1%
Math Symbol 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5624
 
7.1%
시 4417
 
5.6%
로 3936
 
5.0%
구 3724
 
4.7%
산 3716
 
4.7%
부 3409
 
4.3%
광 3240
 
4.1%
역 2991
 
3.8%
길 2439
 
3.1%
번 1867
 
2.4%
Other values (513) 43472
55.1%
Uppercase Letter
ValueCountFrequency (%)
B 75
25.0%
A 74
24.7%
S 23
 
7.7%
C 21
 
7.0%
K 19
 
6.3%
T 14
 
4.7%
I 14
 
4.7%
P 13
 
4.3%
R 7
 
2.3%
E 5
 
1.7%
Other values (13) 35
11.7%
Lowercase Letter
ValueCountFrequency (%)
e 14
29.2%
s 9
18.8%
c 4
 
8.3%
l 3
 
6.2%
i 3
 
6.2%
a 3
 
6.2%
r 2
 
4.2%
k 2
 
4.2%
t 2
 
4.2%
y 1
 
2.1%
Other values (5) 5
 
10.4%
Decimal Number
ValueCountFrequency (%)
1 6332
28.6%
2 3280
14.8%
0 2313
 
10.4%
3 2209
 
10.0%
4 1747
 
7.9%
5 1546
 
7.0%
6 1386
 
6.2%
7 1231
 
5.6%
8 1096
 
4.9%
9 1037
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 3162
98.5%
. 18
 
0.6%
@ 18
 
0.6%
/ 7
 
0.2%
· 4
 
0.1%
& 1
 
< 0.1%
' 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
21916
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3925
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3925
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 786
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78835
58.3%
Common 55951
41.4%
Latin 351
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5624
 
7.1%
시 4417
 
5.6%
로 3936
 
5.0%
구 3724
 
4.7%
산 3716
 
4.7%
부 3409
 
4.3%
광 3240
 
4.1%
역 2991
 
3.8%
길 2439
 
3.1%
번 1867
 
2.4%
Other values (513) 43472
55.1%
Latin
ValueCountFrequency (%)
B 75
21.4%
A 74
21.1%
S 23
 
6.6%
C 21
 
6.0%
K 19
 
5.4%
T 14
 
4.0%
I 14
 
4.0%
e 14
 
4.0%
P 13
 
3.7%
s 9
 
2.6%
Other values (29) 75
21.4%
Common
ValueCountFrequency (%)
21916
39.2%
1 6332
 
11.3%
( 3925
 
7.0%
) 3925
 
7.0%
2 3280
 
5.9%
, 3162
 
5.7%
0 2313
 
4.1%
3 2209
 
3.9%
4 1747
 
3.1%
5 1546
 
2.8%
Other values (12) 5596
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78835
58.3%
ASCII 56295
41.7%
None 4
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21916
38.9%
1 6332
 
11.2%
( 3925
 
7.0%
) 3925
 
7.0%
2 3280
 
5.8%
, 3162
 
5.6%
0 2313
 
4.1%
3 2209
 
3.9%
4 1747
 
3.1%
5 1546
 
2.7%
Other values (49) 5940
 
10.6%
Hangul
ValueCountFrequency (%)
동 5624
 
7.1%
시 4417
 
5.6%
로 3936
 
5.0%
구 3724
 
4.7%
산 3716
 
4.7%
부 3409
 
4.3%
광 3240
 
4.1%
역 2991
 
3.8%
길 2439
 
3.1%
번 1867
 
2.4%
Other values (513) 43472
55.1%
None
ValueCountFrequency (%)
· 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

apvpermymd
Real number (ℝ)

SKEWED 

Distinct3095
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20019718
Minimum9870512
Maximum20201218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.0 KiB
2024-04-16T13:00:24.716363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9870512
5-th percentile19870513
Q119911129
median20000615
Q320170901
95-th percentile20200619
Maximum20201218
Range10330706
Interquartile range (IQR)259772

Descriptive statistics

Standard deviation248041.85
Coefficient of variation (CV)0.012389877
Kurtosis1192.5376
Mean20019718
Median Absolute Deviation (MAD)110096
Skewness-29.948633
Sum1.2502314 × 1011
Variance6.1524759 × 1010
MonotonicityNot monotonic
2024-04-16T13:00:24.829278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19870513 255
 
4.1%
19870515 75
 
1.2%
19870509 57
 
0.9%
19870512 47
 
0.8%
19870518 41
 
0.7%
19870521 40
 
0.6%
19870523 39
 
0.6%
19870519 34
 
0.5%
19870529 33
 
0.5%
19870707 29
 
0.5%
Other values (3085) 5595
89.6%
ValueCountFrequency (%)
9870512 1
< 0.1%
9870518 1
< 0.1%
10870513 1
< 0.1%
19670519 1
< 0.1%
19671110 1
< 0.1%
19700217 1
< 0.1%
19791123 1
< 0.1%
19800103 1
< 0.1%
19850519 1
< 0.1%
19870201 1
< 0.1%
ValueCountFrequency (%)
20201218 8
0.1%
20201214 4
0.1%
20201211 4
0.1%
20201210 2
 
< 0.1%
20201209 4
0.1%
20201208 1
 
< 0.1%
20201207 3
 
< 0.1%
20201204 7
0.1%
20201202 1
 
< 0.1%
20201201 2
 
< 0.1%

dcbymd
Text

MISSING 

Distinct1967
Distinct (%)56.6%
Missing2768
Missing (%)44.3%
Memory size48.9 KiB
2024-04-16T13:00:25.052265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.5547886
Min length4

Characters and Unicode

Total characters26268
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1476 ?
Unique (%)42.5%

Sample

1st row20170511
2nd row20040220
3rd row20040920
4th row20080814
5th row20041208
ValueCountFrequency (%)
폐업일자 387
 
11.1%
20030227 81
 
2.3%
20050121 73
 
2.1%
20030704 41
 
1.2%
20031114 31
 
0.9%
20031028 25
 
0.7%
20051117 24
 
0.7%
20030805 20
 
0.6%
20051130 14
 
0.4%
20030930 14
 
0.4%
Other values (1957) 2767
79.6%
2024-04-16T13:00:25.375153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8209
31.3%
2 5108
19.4%
1 4483
17.1%
9 1321
 
5.0%
3 1283
 
4.9%
7 1069
 
4.1%
6 857
 
3.3%
5 827
 
3.1%
4 810
 
3.1%
8 752
 
2.9%
Other values (5) 1549
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24719
94.1%
Other Letter 1548
 
5.9%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8209
33.2%
2 5108
20.7%
1 4483
18.1%
9 1321
 
5.3%
3 1283
 
5.2%
7 1069
 
4.3%
6 857
 
3.5%
5 827
 
3.3%
4 810
 
3.3%
8 752
 
3.0%
Other Letter
ValueCountFrequency (%)
폐 387
25.0%
업 387
25.0%
일 387
25.0%
자 387
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24720
94.1%
Hangul 1548
 
5.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8209
33.2%
2 5108
20.7%
1 4483
18.1%
9 1321
 
5.3%
3 1283
 
5.2%
7 1069
 
4.3%
6 857
 
3.5%
5 827
 
3.3%
4 810
 
3.3%
8 752
 
3.0%
Hangul
ValueCountFrequency (%)
폐 387
25.0%
업 387
25.0%
일 387
25.0%
자 387
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24720
94.1%
Hangul 1548
 
5.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8209
33.2%
2 5108
20.7%
1 4483
18.1%
9 1321
 
5.3%
3 1283
 
5.2%
7 1069
 
4.3%
6 857
 
3.5%
5 827
 
3.3%
4 810
 
3.3%
8 752
 
3.0%
Hangul
ValueCountFrequency (%)
폐 387
25.0%
업 387
25.0%
일 387
25.0%
자 387
25.0%

clgstdt
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
5853 
휴업시작일자
 
392

Length

Max length6
Median length4
Mean length4.1255404
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> 5853
93.7%
휴업시작일자 392
 
6.3%

Length

2024-04-16T13:00:25.496704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:25.579179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5853
93.7%
휴업시작일자 392
 
6.3%

clgenddt
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
5853 
휴업종료일자
 
392

Length

Max length6
Median length4
Mean length4.1255404
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> 5853
93.7%
휴업종료일자 392
 
6.3%

Length

2024-04-16T13:00:25.667980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:25.974663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5853
93.7%
휴업종료일자 392
 
6.3%

ropnymd
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
5853 
재개업일자
 
392

Length

Max length5
Median length4
Mean length4.0627702
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> 5853
93.7%
재개업일자 392
 
6.3%

Length

2024-04-16T13:00:26.053208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:26.142696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5853
93.7%
재개업일자 392
 
6.3%

trdstatenm
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
02
2886 
01
1599 
영업/정상
1539 
폐업
 
203
<NA>
 
11
Other values (3)
 
7

Length

Max length14
Median length2
Mean length2.7479584
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row01
2nd row01
3rd row02
4th row02
5th row02

Common Values

ValueCountFrequency (%)
02 2886
46.2%
01 1599
25.6%
영업/정상 1539
24.6%
폐업 203
 
3.3%
<NA> 11
 
0.2%
영업상태 4
 
0.1%
제외/삭제/전출 2
 
< 0.1%
취소/말소/만료/정지/중지 1
 
< 0.1%

Length

2024-04-16T13:00:26.240642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:26.330577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02 2886
46.2%
01 1599
25.6%
영업/정상 1539
24.6%
폐업 203
 
3.3%
na 11
 
0.2%
영업상태 4
 
0.1%
제외/삭제/전출 2
 
< 0.1%
취소/말소/만료/정지/중지 1
 
< 0.1%

dtlstatenm
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
영업
3111 
폐업
3090 
영업중
 
37
변경
 
4
삭제
 
2

Length

Max length4
Median length2
Mean length2.006245
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업 3111
49.8%
폐업 3090
49.5%
영업중 37
 
0.6%
변경 4
 
0.1%
삭제 2
 
< 0.1%
직권폐업 1
 
< 0.1%

Length

2024-04-16T13:00:26.437428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:26.530203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 3111
49.8%
폐업 3090
49.5%
영업중 37
 
0.6%
변경 4
 
0.1%
삭제 2
 
< 0.1%
직권폐업 1
 
< 0.1%

x
Text

MISSING 

Distinct5247
Distinct (%)87.9%
Missing275
Missing (%)4.4%
Memory size48.9 KiB
2024-04-16T13:00:26.720812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.952094
Min length7

Characters and Unicode

Total characters119114
Distinct characters19
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4765 ?
Unique (%)79.8%

Sample

1st row385844.46764500000
2nd row385286.93835400000
3rd row384464.22393800000
4th row384660.977766
5th row384581.409949
ValueCountFrequency (%)
좌표정보(x 22
 
0.4%
209394.231297346 7
 
0.1%
378474.793935 5
 
0.1%
395388.715069604 5
 
0.1%
186802.970551385 5
 
0.1%
191055.247973785 5
 
0.1%
392810.80546300000 4
 
0.1%
384581.157472 4
 
0.1%
382137.104187552 4
 
0.1%
383207.082975 4
 
0.1%
Other values (5237) 5905
98.9%
2024-04-16T13:00:27.034313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25928
21.8%
0 18878
15.8%
3 10976
9.2%
8 9216
 
7.7%
9 8034
 
6.7%
2 7337
 
6.2%
1 7182
 
6.0%
7 6579
 
5.5%
4 6504
 
5.5%
5 6285
 
5.3%
Other values (9) 12195
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 87113
73.1%
Space Separator 25928
 
21.8%
Other Punctuation 5919
 
5.0%
Other Letter 88
 
0.1%
Close Punctuation 22
 
< 0.1%
Uppercase Letter 22
 
< 0.1%
Open Punctuation 22
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18878
21.7%
3 10976
12.6%
8 9216
10.6%
9 8034
9.2%
2 7337
 
8.4%
1 7182
 
8.2%
7 6579
 
7.6%
4 6504
 
7.5%
5 6285
 
7.2%
6 6122
 
7.0%
Other Letter
ValueCountFrequency (%)
표 22
25.0%
보 22
25.0%
정 22
25.0%
좌 22
25.0%
Space Separator
ValueCountFrequency (%)
25928
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5919
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 119004
99.9%
Hangul 88
 
0.1%
Latin 22
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
25928
21.8%
0 18878
15.9%
3 10976
9.2%
8 9216
 
7.7%
9 8034
 
6.8%
2 7337
 
6.2%
1 7182
 
6.0%
7 6579
 
5.5%
4 6504
 
5.5%
5 6285
 
5.3%
Other values (4) 12085
10.2%
Hangul
ValueCountFrequency (%)
표 22
25.0%
보 22
25.0%
정 22
25.0%
좌 22
25.0%
Latin
ValueCountFrequency (%)
X 22
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119026
99.9%
Hangul 88
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25928
21.8%
0 18878
15.9%
3 10976
9.2%
8 9216
 
7.7%
9 8034
 
6.7%
2 7337
 
6.2%
1 7182
 
6.0%
7 6579
 
5.5%
4 6504
 
5.5%
5 6285
 
5.3%
Other values (5) 12107
10.2%
Hangul
ValueCountFrequency (%)
표 22
25.0%
보 22
25.0%
정 22
25.0%
좌 22
25.0%

y
Text

MISSING 

Distinct5247
Distinct (%)87.9%
Missing275
Missing (%)4.4%
Memory size48.9 KiB
2024-04-16T13:00:27.236469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.952094
Min length7

Characters and Unicode

Total characters119114
Distinct characters21
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4765 ?
Unique (%)79.8%

Sample

1st row180840.18410800000
2nd row180439.91103500000
3rd row180221.47261700000
4th row180177.894242
5th row180434.791445
ValueCountFrequency (%)
좌표정보(y 22
 
0.4%
443951.236927017 7
 
0.1%
180075.396084 5
 
0.1%
186268.853282623 5
 
0.1%
450005.881977638 5
 
0.1%
466454.4498163 5
 
0.1%
183841.99707300000 4
 
0.1%
192148.620318 4
 
0.1%
191686.955693638 4
 
0.1%
193582.095669 4
 
0.1%
Other values (5237) 5905
98.9%
2024-04-16T13:00:27.564363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25922
21.8%
0 18203
15.3%
1 11122
9.3%
8 8790
 
7.4%
9 8111
 
6.8%
4 7295
 
6.1%
7 7075
 
5.9%
2 6777
 
5.7%
5 6647
 
5.6%
6 6550
 
5.5%
Other values (11) 12622
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 87103
73.1%
Space Separator 25922
 
21.8%
Other Punctuation 5918
 
5.0%
Other Letter 88
 
0.1%
Close Punctuation 23
 
< 0.1%
Uppercase Letter 22
 
< 0.1%
Open Punctuation 22
 
< 0.1%
Dash Punctuation 16
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18203
20.9%
1 11122
12.8%
8 8790
10.1%
9 8111
9.3%
4 7295
8.4%
7 7075
 
8.1%
2 6777
 
7.8%
5 6647
 
7.6%
6 6550
 
7.5%
3 6533
 
7.5%
Other Letter
ValueCountFrequency (%)
좌 22
25.0%
표 22
25.0%
보 22
25.0%
정 22
25.0%
Close Punctuation
ValueCountFrequency (%)
) 22
95.7%
] 1
 
4.3%
Space Separator
ValueCountFrequency (%)
25922
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5918
100.0%
Uppercase Letter
ValueCountFrequency (%)
Y 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 119004
99.9%
Hangul 88
 
0.1%
Latin 22
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
25922
21.8%
0 18203
15.3%
1 11122
9.3%
8 8790
 
7.4%
9 8111
 
6.8%
4 7295
 
6.1%
7 7075
 
5.9%
2 6777
 
5.7%
5 6647
 
5.6%
6 6550
 
5.5%
Other values (6) 12512
10.5%
Hangul
ValueCountFrequency (%)
좌 22
25.0%
표 22
25.0%
보 22
25.0%
정 22
25.0%
Latin
ValueCountFrequency (%)
Y 22
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119026
99.9%
Hangul 88
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25922
21.8%
0 18203
15.3%
1 11122
9.3%
8 8790
 
7.4%
9 8111
 
6.8%
4 7295
 
6.1%
7 7075
 
5.9%
2 6777
 
5.7%
5 6647
 
5.6%
6 6550
 
5.5%
Other values (7) 12534
10.5%
Hangul
ValueCountFrequency (%)
좌 22
25.0%
표 22
25.0%
보 22
25.0%
정 22
25.0%

lastmodts
Real number (ℝ)

Distinct4398
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0117047 × 1013
Minimum1.9990128 × 1013
Maximum2.0201219 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.0 KiB
2024-04-16T13:00:27.683395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990128 × 1013
5-th percentile1.9990526 × 1013
Q12.0050211 × 1013
median2.0130123 × 1013
Q32.0190218 × 1013
95-th percentile2.0200904 × 1013
Maximum2.0201219 × 1013
Range2.110912 × 1011
Interquartile range (IQR)1.4000713 × 1011

Descriptive statistics

Standard deviation6.8845512 × 1010
Coefficient of variation (CV)0.0034222475
Kurtosis-1.255698
Mean2.0117047 × 1013
Median Absolute Deviation (MAD)6.0481035 × 1010
Skewness-0.33628912
Sum1.2563096 × 1017
Variance4.7397046 × 1021
MonotonicityNot monotonic
2024-04-16T13:00:27.807401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070320000000 86
 
1.4%
19990318000000 83
 
1.3%
20020509000000 68
 
1.1%
20030415000000 60
 
1.0%
20020415000000 53
 
0.8%
20020510000000 48
 
0.8%
20020412000000 47
 
0.8%
19990429000000 37
 
0.6%
20030805000000 33
 
0.5%
20031118000000 31
 
0.5%
Other values (4388) 5699
91.3%
ValueCountFrequency (%)
19990128000000 1
 
< 0.1%
19990209000000 3
 
< 0.1%
19990210000000 3
 
< 0.1%
19990218000000 7
0.1%
19990219000000 13
0.2%
19990222000000 1
 
< 0.1%
19990223000000 14
0.2%
19990224000000 2
 
< 0.1%
19990225000000 6
0.1%
19990309000000 6
0.1%
ValueCountFrequency (%)
20201219202054 1
 
< 0.1%
20201219183744 1
 
< 0.1%
20201218203956 2
< 0.1%
20201218174755 2
< 0.1%
20201218161651 2
< 0.1%
20201218153944 2
< 0.1%
20201218143200 2
< 0.1%
20201217113656 3
< 0.1%
20201216161837 1
 
< 0.1%
20201215151510 2
< 0.1%

uptaenm
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
일반세탁업
5691 
빨래방업
 
228
운동화전문세탁업
 
155
세탁업 기타
 
125
<NA>
 
38

Length

Max length8
Median length5
Mean length5.0518815
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 5691
91.1%
빨래방업 228
 
3.7%
운동화전문세탁업 155
 
2.5%
세탁업 기타 125
 
2.0%
<NA> 38
 
0.6%
업태구분명 8
 
0.1%

Length

2024-04-16T13:00:27.922102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:28.014803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 5691
89.3%
빨래방업 228
 
3.6%
운동화전문세탁업 155
 
2.4%
세탁업 125
 
2.0%
기타 125
 
2.0%
na 38
 
0.6%
업태구분명 8
 
0.1%

sitetel
Text

MISSING 

Distinct85
Distinct (%)1.4%
Missing114
Missing (%)1.8%
Memory size48.9 KiB
2024-04-16T13:00:28.141665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.941608
Min length4

Characters and Unicode

Total characters73214
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)1.2%

Sample

1st row051-123-1234
2nd row051-123-1234
3rd row051-123-1234
4th row051-123-1234
5th row051-123-1234
ValueCountFrequency (%)
051-123-1234 5997
95.7%
전화번호 37
 
0.6%
02 19
 
0.3%
051 16
 
0.3%
031 11
 
0.2%
043 6
 
0.1%
062 5
 
0.1%
053 5
 
0.1%
063 4
 
0.1%
042 4
 
0.1%
Other values (134) 164
 
2.6%
2024-04-16T13:00:28.368812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 18079
24.7%
2 12113
16.5%
3 12084
16.5%
- 11996
16.4%
0 6155
 
8.4%
5 6098
 
8.3%
4 6067
 
8.3%
150
 
0.2%
8 105
 
0.1%
6 92
 
0.1%
Other values (6) 275
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60920
83.2%
Dash Punctuation 11996
 
16.4%
Space Separator 150
 
0.2%
Other Letter 148
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 18079
29.7%
2 12113
19.9%
3 12084
19.8%
0 6155
 
10.1%
5 6098
 
10.0%
4 6067
 
10.0%
8 105
 
0.2%
6 92
 
0.2%
7 64
 
0.1%
9 63
 
0.1%
Other Letter
ValueCountFrequency (%)
전 37
25.0%
화 37
25.0%
번 37
25.0%
호 37
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 11996
100.0%
Space Separator
ValueCountFrequency (%)
150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73066
99.8%
Hangul 148
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 18079
24.7%
2 12113
16.6%
3 12084
16.5%
- 11996
16.4%
0 6155
 
8.4%
5 6098
 
8.3%
4 6067
 
8.3%
150
 
0.2%
8 105
 
0.1%
6 92
 
0.1%
Other values (2) 127
 
0.2%
Hangul
ValueCountFrequency (%)
전 37
25.0%
화 37
25.0%
번 37
25.0%
호 37
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73066
99.8%
Hangul 148
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 18079
24.7%
2 12113
16.6%
3 12084
16.5%
- 11996
16.4%
0 6155
 
8.4%
5 6098
 
8.3%
4 6067
 
8.3%
150
 
0.2%
8 105
 
0.1%
6 92
 
0.1%
Other values (2) 127
 
0.2%
Hangul
ValueCountFrequency (%)
전 37
25.0%
화 37
25.0%
번 37
25.0%
호 37
25.0%

bdngownsenm
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
4579 
임대
1144 
건물소유구분명
 
302
자가
 
220

Length

Max length7
Median length4
Mean length3.7082466
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4579
73.3%
임대 1144
 
18.3%
건물소유구분명 302
 
4.8%
자가 220
 
3.5%

Length

2024-04-16T13:00:28.469849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:28.548405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4579
73.3%
임대 1144
 
18.3%
건물소유구분명 302
 
4.8%
자가 220
 
3.5%

bdngjisgflrcnt
Categorical

IMBALANCE 

Distinct41
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
0
2583 
<NA>
1263 
2
868 
3
483 
1
445 
Other values (36)
603 

Length

Max length6
Median length1
Mean length1.6366693
Min length1

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row2
2nd row5
3rd row2
4th row4
5th row4

Common Values

ValueCountFrequency (%)
0 2583
41.4%
<NA> 1263
20.2%
2 868
 
13.9%
3 483
 
7.7%
1 445
 
7.1%
4 331
 
5.3%
5 117
 
1.9%
6 23
 
0.4%
건물지상층수 20
 
0.3%
7 11
 
0.2%
Other values (31) 101
 
1.6%

Length

2024-04-16T13:00:28.634366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 2583
41.4%
na 1263
20.2%
2 868
 
13.9%
3 483
 
7.7%
1 445
 
7.1%
4 331
 
5.3%
5 117
 
1.9%
6 23
 
0.4%
건물지상층수 20
 
0.3%
7 11
 
0.2%
Other values (31) 101
 
1.6%

bdngunderflrcnt
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
0
3616 
<NA>
1934 
1
570 
2
 
41
3
 
27
Other values (5)
 
57

Length

Max length6
Median length1
Mean length1.9452362
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 3616
57.9%
<NA> 1934
31.0%
1 570
 
9.1%
2 41
 
0.7%
3 27
 
0.4%
건물지하층수 20
 
0.3%
4 16
 
0.3%
5 13
 
0.2%
6 7
 
0.1%
10 1
 
< 0.1%

Length

2024-04-16T13:00:28.725770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:28.819994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3616
57.9%
na 1934
31.0%
1 570
 
9.1%
2 41
 
0.7%
3 27
 
0.4%
건물지하층수 20
 
0.3%
4 16
 
0.3%
5 13
 
0.2%
6 7
 
0.1%
10 1
 
< 0.1%

maneipcnt
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
4655 
0
1377 
1
 
148
남성종사자수
 
30
2
 
20
Other values (8)
 
15

Length

Max length6
Median length4
Mean length3.2606886
Min length1

Unique

Unique5 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4655
74.5%
0 1377
 
22.0%
1 148
 
2.4%
남성종사자수 30
 
0.5%
2 20
 
0.3%
7 5
 
0.1%
4 3
 
< 0.1%
5 2
 
< 0.1%
20 1
 
< 0.1%
9 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

Length

2024-04-16T13:00:28.924912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4655
74.5%
0 1377
 
22.0%
1 148
 
2.4%
남성종사자수 30
 
0.5%
2 20
 
0.3%
7 5
 
0.1%
4 3
 
< 0.1%
5 2
 
< 0.1%
20 1
 
< 0.1%
9 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

sjyn
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
5853 
다
 
392

Length

Max length4
Median length4
Mean length3.8116894
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> 5853
93.7%
다 392
 
6.3%

Length

2024-04-16T13:00:29.017716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:29.097473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5853
93.7%
다 392
 
6.3%

multusnupsoyn
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing4
Missing (%)0.1%
Memory size12.3 KiB
False
6240 
True
 
1
(Missing)
 
4
ValueCountFrequency (%)
False 6240
99.9%
True 1
 
< 0.1%
(Missing) 4
 
0.1%
2024-04-16T13:00:29.159083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

balhansilyn
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing4
Missing (%)0.1%
Memory size12.3 KiB
False
6241 
(Missing)
 
4
ValueCountFrequency (%)
False 6241
99.9%
(Missing) 4
 
0.1%
2024-04-16T13:00:29.219347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

usejisgendflr
Categorical

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
2914 
1
1964 
0
803 
2
296 
사용끝지상층
 
207
Other values (8)
 
61

Length

Max length6
Median length4
Mean length2.5660528
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
<NA> 2914
46.7%
1 1964
31.4%
0 803
 
12.9%
2 296
 
4.7%
사용끝지상층 207
 
3.3%
3 44
 
0.7%
4 8
 
0.1%
5 2
 
< 0.1%
8 2
 
< 0.1%
6 2
 
< 0.1%
Other values (3) 3
 
< 0.1%

Length

2024-04-16T13:00:29.298352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2914
46.7%
1 1964
31.4%
0 803
 
12.9%
2 296
 
4.7%
사용끝지상층 207
 
3.3%
3 44
 
0.7%
4 8
 
0.1%
5 2
 
< 0.1%
8 2
 
< 0.1%
6 2
 
< 0.1%
Other values (3) 3
 
< 0.1%

useunderendflr
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
4162 
0
1601 
사용끝지하층
 
319
1
 
144
2
 
15
Other values (2)
 
4

Length

Max length6
Median length4
Mean length3.2547638
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4162
66.6%
0 1601
 
25.6%
사용끝지하층 319
 
5.1%
1 144
 
2.3%
2 15
 
0.2%
3 3
 
< 0.1%
5 1
 
< 0.1%

Length

2024-04-16T13:00:29.389081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:29.484327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4162
66.6%
0 1601
 
25.6%
사용끝지하층 319
 
5.1%
1 144
 
2.3%
2 15
 
0.2%
3 3
 
< 0.1%
5 1
 
< 0.1%

usejisgstflr
Categorical

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
2188 
1
2033 
0
1467 
2
293 
사용시작지상층
 
184
Other values (9)
 
80

Length

Max length7
Median length1
Mean length2.2283427
Min length1

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row1
2nd row1
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
<NA> 2188
35.0%
1 2033
32.6%
0 1467
23.5%
2 293
 
4.7%
사용시작지상층 184
 
2.9%
3 52
 
0.8%
4 13
 
0.2%
5 7
 
0.1%
8 2
 
< 0.1%
6 2
 
< 0.1%
Other values (4) 4
 
0.1%

Length

2024-04-16T13:00:29.608821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2188
35.0%
1 2033
32.6%
0 1467
23.5%
2 293
 
4.7%
사용시작지상층 184
 
2.9%
3 52
 
0.8%
4 13
 
0.2%
5 7
 
0.1%
8 2
 
< 0.1%
6 2
 
< 0.1%
Other values (4) 4
 
0.1%

useunderstflr
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
3220 
0
2540 
사용시작지하층
 
319
1
 
149
2
 
12
Other values (2)
 
5

Length

Max length7
Median length4
Mean length2.8533227
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3220
51.6%
0 2540
40.7%
사용시작지하층 319
 
5.1%
1 149
 
2.4%
2 12
 
0.2%
3 4
 
0.1%
5 1
 
< 0.1%

Length

2024-04-16T13:00:29.734950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:29.848531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3220
51.6%
0 2540
40.7%
사용시작지하층 319
 
5.1%
1 149
 
2.4%
2 12
 
0.2%
3 4
 
0.1%
5 1
 
< 0.1%

washmccnt
Categorical

Distinct16
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
3060 
1
1039 
2
770 
0
738 
3
376 
Other values (11)
 
262

Length

Max length4
Median length1
Mean length2.4808647
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3060
49.0%
1 1039
 
16.6%
2 770
 
12.3%
0 738
 
11.8%
3 376
 
6.0%
4 165
 
2.6%
5 39
 
0.6%
세탁기수 20
 
0.3%
6 17
 
0.3%
7 6
 
0.1%
Other values (6) 15
 
0.2%

Length

2024-04-16T13:00:29.952746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3060
49.0%
1 1039
 
16.6%
2 770
 
12.3%
0 738
 
11.8%
3 376
 
6.0%
4 165
 
2.6%
5 39
 
0.6%
세탁기수 20
 
0.3%
6 17
 
0.3%
7 6
 
0.1%
Other values (6) 15
 
0.2%

medkind
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
5853 
수리대상 의료기기의 유형
 
392

Length

Max length13
Median length4
Mean length4.5649319
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> 5853
93.7%
수리대상 의료기기의 유형 392
 
6.3%

Length

2024-04-16T13:00:30.049580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:30.121591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5853
83.3%
수리대상 392
 
5.6%
의료기기의 392
 
5.6%
유형 392
 
5.6%

yangsilcnt
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
0
4027 
<NA>
2198 
양실수
 
20

Length

Max length4
Median length1
Mean length2.0622898
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 (%)
0 4027
64.5%
<NA> 2198
35.2%
양실수 20
 
0.3%

Length

2024-04-16T13:00:30.201598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:30.277601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4027
64.5%
na 2198
35.2%
양실수 20
 
0.3%

wmeipcnt
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
4663 
0
1441 
1
 
86
여성종사자수
 
32
2
 
10
Other values (5)
 
13

Length

Max length6
Median length4
Mean length3.2658127
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4663
74.7%
0 1441
 
23.1%
1 86
 
1.4%
여성종사자수 32
 
0.5%
2 10
 
0.2%
4 7
 
0.1%
8 2
 
< 0.1%
3 2
 
< 0.1%
6 1
 
< 0.1%
32 1
 
< 0.1%

Length

2024-04-16T13:00:30.359132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:30.451048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4663
74.7%
0 1441
 
23.1%
1 86
 
1.4%
여성종사자수 32
 
0.5%
2 10
 
0.2%
4 7
 
0.1%
8 2
 
< 0.1%
3 2
 
< 0.1%
6 1
 
< 0.1%
32 1
 
< 0.1%

trdscp
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
5853 
영업규모
 
392

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5853
93.7%
영업규모 392
 
6.3%

Length

2024-04-16T13:00:30.551363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:30.627908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5853
93.7%
영업규모 392
 
6.3%

yoksilcnt
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
0
4027 
<NA>
2198 
욕실수
 
20

Length

Max length4
Median length1
Mean length2.0622898
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 (%)
0 4027
64.5%
<NA> 2198
35.2%
욕실수 20
 
0.3%

Length

2024-04-16T13:00:30.707765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:30.790172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4027
64.5%
na 2198
35.2%
욕실수 20
 
0.3%

sntuptaenm
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
일반세탁업
5691 
빨래방업
 
228
운동화전문세탁업
 
155
세탁업 기타
 
125
<NA>
 
38

Length

Max length8
Median length5
Mean length5.0518815
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 5691
91.1%
빨래방업 228
 
3.7%
운동화전문세탁업 155
 
2.5%
세탁업 기타 125
 
2.0%
<NA> 38
 
0.6%
위생업태명 8
 
0.1%

Length

2024-04-16T13:00:30.881005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:30.977162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 5691
89.3%
빨래방업 228
 
3.6%
운동화전문세탁업 155
 
2.4%
세탁업 125
 
2.0%
기타 125
 
2.0%
na 38
 
0.6%
위생업태명 8
 
0.1%

chaircnt
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
0
4023 
<NA>
2190 
의자수
 
20
3
 
4
2
 
2
Other values (4)
 
6

Length

Max length4
Median length1
Mean length2.0584468
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 4023
64.4%
<NA> 2190
35.1%
의자수 20
 
0.3%
3 4
 
0.1%
2 2
 
< 0.1%
4 2
 
< 0.1%
6 2
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%

Length

2024-04-16T13:00:31.093239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:31.206022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4023
64.4%
na 2190
35.1%
의자수 20
 
0.3%
3 4
 
0.1%
2 2
 
< 0.1%
4 2
 
< 0.1%
6 2
 
< 0.1%
5 1
 
< 0.1%
7 1
 
< 0.1%

cndpermstymd
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
5853 
조건부허가시작일자
 
392

Length

Max length9
Median length4
Mean length4.3138511
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> 5853
93.7%
조건부허가시작일자 392
 
6.3%

Length

2024-04-16T13:00:31.326928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:31.411062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5853
93.7%
조건부허가시작일자 392
 
6.3%

cndpermntwhy
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
5853 
조건부허가신고사유
 
392

Length

Max length9
Median length4
Mean length4.3138511
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> 5853
93.7%
조건부허가신고사유 392
 
6.3%

Length

2024-04-16T13:00:31.512616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:31.606719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5853
93.7%
조건부허가신고사유 392
 
6.3%

cndpermendymd
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
5853 
조건부허가종료일자
 
392

Length

Max length9
Median length4
Mean length4.3138511
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> 5853
93.7%
조건부허가종료일자 392
 
6.3%

Length

2024-04-16T13:00:31.709306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:32.030219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5853
93.7%
조건부허가종료일자 392
 
6.3%

totscp
Categorical

IMBALANCE 

Distinct32
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
5816 
총규모
 
384
1233
 
3
2831
 
3
10560
 
3
Other values (27)
 
36

Length

Max length7
Median length4
Mean length3.9468375
Min length3

Unique

Unique21 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 5816
93.1%
총규모 384
 
6.1%
1233 3
 
< 0.1%
2831 3
 
< 0.1%
10560 3
 
< 0.1%
417.92 3
 
< 0.1%
541.8 3
 
< 0.1%
4925.07 3
 
< 0.1%
2123 2
 
< 0.1%
988 2
 
< 0.1%
Other values (22) 23
 
0.4%

Length

2024-04-16T13:00:32.122524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5816
93.1%
총규모 384
 
6.1%
1233 3
 
< 0.1%
2831 3
 
< 0.1%
10560 3
 
< 0.1%
417.92 3
 
< 0.1%
541.8 3
 
< 0.1%
4925.07 3
 
< 0.1%
988 2
 
< 0.1%
1024075 2
 
< 0.1%
Other values (22) 23
 
0.4%

abedcnt
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
3354 
0
2871 
침대수
 
20

Length

Max length4
Median length4
Mean length2.6176141
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> 3354
53.7%
0 2871
46.0%
침대수 20
 
0.3%

Length

2024-04-16T13:00:32.230667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:32.313843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3354
53.7%
0 2871
46.0%
침대수 20
 
0.3%

hanshilcnt
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
0
4027 
<NA>
2198 
한실수
 
20

Length

Max length4
Median length1
Mean length2.0622898
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 (%)
0 4027
64.5%
<NA> 2198
35.2%
한실수 20
 
0.3%

Length

2024-04-16T13:00:32.398876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:32.477397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4027
64.5%
na 2198
35.2%
한실수 20
 
0.3%

rcvdryncnt
Categorical

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
<NA>
3028 
1
1516 
0
1219 
2
 
245
3
 
108
Other values (9)
 
129

Length

Max length5
Median length1
Mean length2.4680544
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3028
48.5%
1 1516
24.3%
0 1219
19.5%
2 245
 
3.9%
3 108
 
1.7%
4 53
 
0.8%
5 38
 
0.6%
회수건조수 20
 
0.3%
7 6
 
0.1%
8 5
 
0.1%
Other values (4) 7
 
0.1%

Length

2024-04-16T13:00:32.570150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3028
48.5%
1 1516
24.3%
0 1219
19.5%
2 245
 
3.9%
3 108
 
1.7%
4 53
 
0.8%
5 38
 
0.6%
회수건조수 20
 
0.3%
7 6
 
0.1%
8 5
 
0.1%
Other values (4) 7
 
0.1%

last_load_dttm
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.9 KiB
2020-12-22 13:55:38
4636 
2020-12-22 13:55:39
1609 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-22 13:55:38
2nd row2020-12-22 13:55:38
3rd row2020-12-22 13:55:38
4th row2020-12-22 13:55:38
5th row2020-12-22 13:55:38

Common Values

ValueCountFrequency (%)
2020-12-22 13:55:38 4636
74.2%
2020-12-22 13:55:39 1609
 
25.8%

Length

2024-04-16T13:00:32.667833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T13:00:32.742920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-22 6245
50.0%
13:55:38 4636
37.1%
13:55:39 1609
 
12.9%

Sample

skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelbdngownsenmbdngjisgflrcntbdngunderflrcntmaneipcntsjynmultusnupsoynbalhansilynusejisgendflruseunderendflrusejisgstflruseunderstflrwashmccntmedkindyangsilcntwmeipcnttrdscpyoksilcntsntuptaenmchaircntcndpermstymdcndpermntwhycndpermendymdtotscpabedcnthanshilcntrcvdryncntlast_load_dttm
0332500003250000-205-2000-0000606_20_01_PI2018-08-31 23:59:59.0<NA>국일세탁소600814부산광역시 중구 중앙동4가 86-3번지48935부산광역시 중구 충장대로13번길 14 (중앙동4가)20000822<NA><NA><NA><NA>01영업385844.46764500000180840.1841080000020051205000000일반세탁업051-123-1234임대2<NA><NA><NA>NN1<NA>1<NA><NA><NA><NA><NA><NA><NA>일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 13:55:38
1432500003250000-205-1987-0059406_20_01_PI2018-08-31 23:59:59.0<NA>백설세탁소600091부산광역시 중구 대청동1가 33-8번지48932부산광역시 중구 복병산길6번길 2-1 (대청동1가)19870513<NA><NA><NA><NA>01영업385286.93835400000180439.9110350000020051115000000일반세탁업051-123-1234임대5<NA><NA><NA>NN2<NA>1<NA><NA><NA><NA><NA><NA><NA>일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 13:55:38
2532500003250000-205-1987-0059006_20_01_PI2018-08-31 23:59:59.0<NA>평화세탁소600074부산광역시 중구 부평동4가 28-2번지48974부산광역시 중구 흑교로21번길 19-1 (부평동4가)1987061220170511<NA><NA><NA>02폐업384464.22393800000180221.4726170000020170511094257일반세탁업051-123-1234임대2<NA><NA><NA>NN1<NA>1<NA><NA><NA><NA><NA><NA><NA>일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 13:55:38
3632500003250000-205-1993-0061806_20_01_PI2018-08-31 23:59:59.0<NA>월풀빨래방대청점600803부산광역시 중구 보수동1가 119-1번지48947<NA>1993080720040220<NA><NA><NA>02폐업384660.977766180177.89424220030826000000일반세탁업051-123-1234임대41<NA><NA>NN2<NA>2<NA><NA><NA><NA><NA><NA><NA>일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 13:55:38
4732500003250000-205-1994-0062606_20_01_PI2018-08-31 23:59:59.0<NA>대신세탁소600803부산광역시 중구 보수동1가 41-8번지 7통2반48947<NA>1994053120040920<NA><NA><NA>02폐업384581.409949180434.79144520030503000000일반세탁업051-123-1234임대4<NA><NA><NA>NN1<NA>1<NA><NA><NA><NA><NA><NA><NA>일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 13:55:38
5832500003250000-205-1996-0063906_20_01_PI2018-08-31 23:59:59.0<NA>아리랑 세탁소600811부산광역시 중구 영주동 695-3번지48947<NA>1996041520080814<NA><NA><NA>02폐업<NA><NA>20060427000000일반세탁업051-123-1234<NA><NA><NA><NA><NA>NN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 13:55:38
6932500003250000-205-1998-0000106_20_01_PI2018-08-31 23:59:59.0<NA>유성세탁소600802부산광역시 중구 보수동1가 33-278번지48959부산광역시 중구 보동길 96 (보수동1가)19980917<NA><NA><NA><NA>01영업384654.01100600000180952.7944690000020051205000000일반세탁업051-123-1234임대41<NA><NA>NN2<NA>2<NA><NA><NA><NA><NA><NA><NA>일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 13:55:38
71032500003250000-205-1988-0059806_20_01_PI2018-08-31 23:59:59.0<NA>청미사600803부산광역시 중구 보수동1가 59-384번지48960부산광역시 중구 고가길 78-19 (보수동1가)19881119<NA><NA><NA><NA>01영업384856.78227100000180697.6119430000020140120170208일반세탁업051-123-1234임대2<NA><NA><NA>NN1<NA>1<NA><NA><NA><NA><NA><NA><NA>일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 13:55:38
81132500003250000-205-1999-0000106_20_01_PI2018-08-31 23:59:59.0<NA>정일세탁 할인점600110부산광역시 중구 영주동 466-5번지48947<NA>1999020120041208<NA><NA><NA>02폐업385230.605157181026.92149820030503000000일반세탁업051-123-1234임대2<NA><NA><NA>NN1<NA>1<NA><NA><NA><NA><NA><NA><NA>일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 13:55:38
91232500003250000-205-1987-0058106_20_01_PI2018-08-31 23:59:59.0<NA>미성사600803부산광역시 중구 보수동1가 146-70번지48960부산광역시 중구 고가길 59 (보수동1가)1987051220150312<NA><NA><NA>02폐업384833.26910000000180583.7401600000020131227145304일반세탁업051-123-1234임대2<NA><NA><NA>NN2<NA>1<NA><NA><NA><NA><NA><NA><NA>일반세탁업<NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 13:55:38
skeyopnsfteamcodemgtnoopnsvcidupdategbnupdatedtopnsvcnmbplcnmsitepostnositewhladdrrdnpostnordnwhladdrapvpermymddcbymdclgstdtclgenddtropnymdtrdstatenmdtlstatenmxylastmodtsuptaenmsitetelbdngownsenmbdngjisgflrcntbdngunderflrcntmaneipcntsjynmultusnupsoynbalhansilynusejisgendflruseunderendflrusejisgstflruseunderstflrwashmccntmedkindyangsilcntwmeipcnttrdscpyoksilcntsntuptaenmchaircntcndpermstymdcndpermntwhycndpermendymdtotscpabedcnthanshilcntrcvdryncntlast_load_dttm
6235623840500005620000-205-2020-0000406_20_01_PI2020-12-17 00:23:06.0세탁업양지컴퓨터세탁449933경기도 용인시 처인구 역북동 722-317057경기도 용인시 처인구 명지로 15-6, 1층 일부 (역북동)20201013<NA><NA><NA><NA>영업/정상영업216744.000945214414739.6435880520201013105351일반세탁업<NA><NA>000<NA>NN<NA><NA><NA><NA>0<NA>00<NA>0일반세탁업0<NA><NA><NA><NA>0002020-12-22 13:55:39
6236623940500005630000-205-2020-0000306_20_01_PI2020-12-17 00:23:06.0세탁업원크리닝446594경기도 용인시 기흥구 구갈동 391-4 1층 일부호16971경기도 용인시 기흥구 신구로72번길 7, 1층 일부호 (구갈동)20200925<NA><NA><NA><NA>영업/정상영업209723.962950693419658.33179541120200925151400일반세탁업<NA><NA>000<NA>NN<NA><NA><NA><NA>2<NA>00<NA>0일반세탁업0<NA><NA><NA><NA>0002020-12-22 13:55:39
6237624034500003450000-205-2020-0000606_20_01_PI2020-12-20 00:23:06.0세탁업동성세탁소702869대구광역시 북구 산격동 1220-1441534대구광역시 북구 산격로13길 2-1 (산격동)2020121820201218휴업시작일자휴업종료일자재개업일자폐업폐업344851.538246267479.95426120201218153944일반세탁업전화번호건물소유구분명000다NN사용끝지상층사용끝지하층1사용시작지하층2수리대상 의료기기의 유형00영업규모0일반세탁업0조건부허가시작일자조건부허가신고사유조건부허가종료일자총규모0002020-12-22 13:55:39
6238624139300005550000-205-2020-0000606_20_01_PI2020-12-20 00:23:06.0세탁업크린화이트426823경기도 안산시 상록구 사동 1286-6 1층 일부15589경기도 안산시 상록구 후곡로 34, 1층 일부 (사동)20201218<NA><NA><NA><NA>영업/정상영업186397.624961132421658.39080492320201218143200세탁업 기타<NA><NA><NA><NA><NA><NA>NN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>세탁업 기타<NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 13:55:39
6239624234700003470000-205-2020-0000606_20_01_PI2020-12-20 00:23:06.0세탁업백조세탁704910대구광역시 달서구 두류동 615-1742649대구광역시 달서구 야외음악당로39안길 15, 1층 (두류동)20201218<NA><NA><NA><NA>영업/정상영업340255.864774262606.59482420201218161651일반세탁업<NA>임대200<NA>NN1<NA>1<NA>0<NA>00<NA>0일반세탁업0<NA><NA><NA><NA>0002020-12-22 13:55:39
6240624351000005100000-205-2020-0000306_20_01_PI2020-12-20 00:23:06.0세탁업아빠손770020경상북도 영천시 문내동 36-838849경상북도 영천시 조양길 49-2 (문내동)20201218<NA><NA><NA><NA>영업/정상영업374253.670214843276158.37715548820201218174755일반세탁업<NA><NA>000<NA>NN1<NA>1<NA>3<NA>00<NA>0일반세탁업0<NA><NA><NA><NA>0032020-12-22 13:55:39
6241624434500003450000-205-2020-0000606_20_01_PI2020-12-20 00:23:06.0세탁업동성세탁소702869대구광역시 북구 산격동 1220-1441534대구광역시 북구 산격로13길 2-1 (산격동)2020121820201218휴업시작일자휴업종료일자재개업일자폐업폐업344851.538246267479.95426120201218153944일반세탁업전화번호건물소유구분명000다NN사용끝지상층사용끝지하층1사용시작지하층2수리대상 의료기기의 유형00영업규모0일반세탁업0조건부허가시작일자조건부허가신고사유조건부허가종료일자총규모0002020-12-22 13:55:39
6242624539300005550000-205-2020-0000606_20_01_PI2020-12-20 00:23:06.0세탁업크린화이트426823경기도 안산시 상록구 사동 1286-6 1층 일부15589경기도 안산시 상록구 후곡로 34, 1층 일부 (사동)20201218<NA><NA><NA><NA>영업/정상영업186397.624961132421658.39080492320201218143200세탁업 기타<NA><NA><NA><NA><NA><NA>NN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>세탁업 기타<NA><NA><NA><NA><NA><NA><NA><NA>2020-12-22 13:55:39
6243624634700003470000-205-2020-0000606_20_01_PI2020-12-20 00:23:06.0세탁업백조세탁704910대구광역시 달서구 두류동 615-1742649대구광역시 달서구 야외음악당로39안길 15, 1층 (두류동)20201218<NA><NA><NA><NA>영업/정상영업340255.864774262606.59482420201218161651일반세탁업<NA>임대200<NA>NN1<NA>1<NA>0<NA>00<NA>0일반세탁업0<NA><NA><NA><NA>0002020-12-22 13:55:39
6244624751000005100000-205-2020-0000306_20_01_PI2020-12-20 00:23:06.0세탁업아빠손770020경상북도 영천시 문내동 36-838849경상북도 영천시 조양길 49-2 (문내동)20201218<NA><NA><NA><NA>영업/정상영업374253.670214843276158.37715548820201218174755일반세탁업<NA><NA>000<NA>NN1<NA>1<NA>3<NA>00<NA>0일반세탁업0<NA><NA><NA><NA>0032020-12-22 13:55:39