Overview

Dataset statistics

Number of variables51
Number of observations6324
Missing cells5705
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
Categorical36
DateTime1

Alerts

opnsvcid is highly imbalanced (93.9%)Imbalance
clgstdt is highly imbalanced (65.0%)Imbalance
clgenddt is highly imbalanced (65.0%)Imbalance
ropnymd is highly imbalanced (65.0%)Imbalance
dtlstatenm is highly imbalanced (59.0%)Imbalance
uptaenm is highly imbalanced (76.6%)Imbalance
bdngjisgflrcnt is highly imbalanced (52.9%)Imbalance
bdngunderflrcnt is highly imbalanced (56.1%)Imbalance
maneipcnt is highly imbalanced (71.7%)Imbalance
sjyn is highly imbalanced (65.0%)Imbalance
multusnupsoyn is highly imbalanced (99.2%)Imbalance
balhansilyn is highly imbalanced (99.1%)Imbalance
useunderendflr is highly imbalanced (54.6%)Imbalance
medkind is highly imbalanced (65.0%)Imbalance
wmeipcnt is highly imbalanced (70.1%)Imbalance
trdscp is highly imbalanced (65.0%)Imbalance
sntuptaenm is highly imbalanced (76.6%)Imbalance
chaircnt is highly imbalanced (68.8%)Imbalance
cndpermstymd is highly imbalanced (82.2%)Imbalance
cndpermntwhy is highly imbalanced (82.2%)Imbalance
cndpermendymd is highly imbalanced (82.2%)Imbalance
totscp is highly imbalanced (91.3%)Imbalance
sitepostno has 109 (1.7%) missing valuesMissing
rdnwhladdr has 2051 (32.4%) missing valuesMissing
dcbymd has 2810 (44.4%) missing valuesMissing
x has 277 (4.4%) missing valuesMissing
y has 277 (4.4%) missing valuesMissing
sitetel has 162 (2.6%) missing valuesMissing
apvpermymd is highly skewed (γ1 = -29.84567185)Skewed
skey has unique valuesUnique

Reproduction

Analysis started2024-04-16 03:59:41.753494
Analysis finished2024-04-16 03:59:43.621222
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

skey
Real number (ℝ)

UNIQUE 

Distinct6324
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3162.8322
Minimum1
Maximum6326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.7 KiB
2024-04-16T12:59:43.672295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile317.15
Q11581.75
median3162.5
Q34743.25
95-th percentile6009.85
Maximum6326
Range6325
Interquartile range (IQR)3161.5

Descriptive statistics

Standard deviation1826.1909
Coefficient of variation (CV)0.577391
Kurtosis-1.199685
Mean3162.8322
Median Absolute Deviation (MAD)1581
Skewness0.00055131088
Sum20001751
Variance3334973.1
MonotonicityNot monotonic
2024-04-16T12:59:43.778006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 1
 
< 0.1%
4223 1
 
< 0.1%
4221 1
 
< 0.1%
4220 1
 
< 0.1%
4219 1
 
< 0.1%
4218 1
 
< 0.1%
4217 1
 
< 0.1%
4216 1
 
< 0.1%
4215 1
 
< 0.1%
4214 1
 
< 0.1%
Other values (6314) 6314
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 (%)
6326 1
< 0.1%
6325 1
< 0.1%
6324 1
< 0.1%
6323 1
< 0.1%
6322 1
< 0.1%
6321 1
< 0.1%
6320 1
< 0.1%
6319 1
< 0.1%
6318 1
< 0.1%
6317 1
< 0.1%

opnsfteamcode
Real number (ℝ)

Distinct179
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3526393.7
Minimum3000000
Maximum6520000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.7 KiB
2024-04-16T12:59:43.892218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3240000
Q13300000
median3340000
Q33390000
95-th percentile4918500
Maximum6520000
Range3520000
Interquartile range (IQR)90000

Descriptive statistics

Standard deviation543156.16
Coefficient of variation (CV)0.15402595
Kurtosis8.3574937
Mean3526393.7
Median Absolute Deviation (MAD)40000
Skewness2.8984003
Sum2.2300914 × 1010
Variance2.9501861 × 1011
MonotonicityNot monotonic
2024-04-16T12:59:44.008106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3300000 540
 
8.5%
3290000 490
 
7.7%
3340000 434
 
6.9%
3330000 432
 
6.8%
3320000 420
 
6.6%
3350000 376
 
5.9%
3310000 347
 
5.5%
3370000 340
 
5.4%
3390000 325
 
5.1%
3380000 257
 
4.1%
Other values (169) 2363
37.4%
ValueCountFrequency (%)
3000000 3
 
< 0.1%
3010000 6
 
0.1%
3020000 15
0.2%
3030000 13
0.2%
3040000 13
0.2%
3050000 9
0.1%
3060000 12
0.2%
3070000 10
0.2%
3080000 8
0.1%
3090000 6
 
0.1%
ValueCountFrequency (%)
6520000 4
 
0.1%
6510000 21
0.3%
5710000 34
0.5%
5700000 1
 
< 0.1%
5690000 10
 
0.2%
5680000 5
 
0.1%
5670000 19
0.3%
5600000 3
 
< 0.1%
5590000 13
 
0.2%
5580000 4
 
0.1%

mgtno
Text

Distinct5915
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
2024-04-16T12:59:44.342334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length22.021347
Min length22

Characters and Unicode

Total characters139263
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

Unique5684 ?
Unique (%)89.9%

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%
3120000-205-2017-00007 3
 
< 0.1%
3210000-205-2020-00001 3
 
< 0.1%
4190000-205-2019-00001 3
 
< 0.1%
5530000-205-2019-00002 3
 
< 0.1%
3990000-205-2019-00004 3
 
< 0.1%
3950000-205-2020-00004 3
 
< 0.1%
4390000-205-2019-00006 3
 
< 0.1%
3150000-205-2019-00004 3
 
< 0.1%
Other values (5905) 6292
99.5%
2024-04-16T12:59:44.654698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 56382
40.5%
- 18837
 
13.5%
2 14602
 
10.5%
3 11703
 
8.4%
5 9190
 
6.6%
1 8465
 
6.1%
9 8012
 
5.8%
8 3682
 
2.6%
4 3069
 
2.2%
7 3023
 
2.2%
Other values (5) 2298
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120246
86.3%
Dash Punctuation 18837
 
13.5%
Uppercase Letter 180
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 56382
46.9%
2 14602
 
12.1%
3 11703
 
9.7%
5 9190
 
7.6%
1 8465
 
7.0%
9 8012
 
6.7%
8 3682
 
3.1%
4 3069
 
2.6%
7 3023
 
2.5%
6 2118
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
P 45
25.0%
H 45
25.0%
M 45
25.0%
C 45
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 18837
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 139083
99.9%
Latin 180
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 56382
40.5%
- 18837
 
13.5%
2 14602
 
10.5%
3 11703
 
8.4%
5 9190
 
6.6%
1 8465
 
6.1%
9 8012
 
5.8%
8 3682
 
2.6%
4 3069
 
2.2%
7 3023
 
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 139263
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 56382
40.5%
- 18837
 
13.5%
2 14602
 
10.5%
3 11703
 
8.4%
5 9190
 
6.6%
1 8465
 
6.1%
9 8012
 
5.8%
8 3682
 
2.6%
4 3069
 
2.2%
7 3023
 
2.2%
Other values (5) 2298
 
1.7%

opnsvcid
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
06_20_01_P
6279 
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 6279
99.3%
06_20_02_P 45
 
0.7%

Length

2024-04-16T12:59:44.773846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:44.857274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
06_20_01_p 6279
99.3%
06_20_02_p 45
 
0.7%

updategbn
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
I
5466 
U
858 

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 5466
86.4%
U 858
 
13.6%

Length

2024-04-16T12:59:44.958135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:45.049594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 5466
86.4%
u 858
 
13.6%

updatedt
Date

Distinct758
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
Minimum2018-08-31 23:59:59
Maximum2021-01-31 02:40:00
2024-04-16T12:59:45.159914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-16T12:59:45.268143image/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 size49.5 KiB
<NA>
4478 
세탁업
1801 
의료기관세탁물처리업
 
45

Length

Max length10
Median length4
Mean length3.7579064
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> 4478
70.8%
세탁업 1801
28.5%
의료기관세탁물처리업 45
 
0.7%

Length

2024-04-16T12:59:45.377993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:45.461017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4478
70.8%
세탁업 1801
28.5%
의료기관세탁물처리업 45
 
0.7%

bplcnm
Text

Distinct3715
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
2024-04-16T12:59:45.736296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length4.8995889
Min length1

Characters and Unicode

Total characters30985
Distinct characters638
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2791 ?
Unique (%)44.1%

Sample

1st row국일세탁소
2nd row백설세탁소
3rd row평화세탁소
4th row월풀빨래방대청점
5th row대신세탁소
ValueCountFrequency (%)
세탁소 286
 
4.0%
세탁 69
 
1.0%
크리닝 57
 
0.8%
현대 56
 
0.8%
빨래방 54
 
0.8%
백성사 47
 
0.7%
백조 40
 
0.6%
백양 39
 
0.5%
현대세탁소 36
 
0.5%
월풀빨래방 36
 
0.5%
Other values (3614) 6471
90.0%
2024-04-16T12:59:46.122396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
세 3055
 
9.9%
탁 2988
 
9.6%
소 1678
 
5.4%
사 1004
 
3.2%
876
 
2.8%
크 669
 
2.2%
백 620
 
2.0%
리 587
 
1.9%
성 566
 
1.8%
대 517
 
1.7%
Other values (628) 18425
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29307
94.6%
Space Separator 876
 
2.8%
Uppercase Letter 229
 
0.7%
Decimal Number 151
 
0.5%
Close Punctuation 138
 
0.4%
Open Punctuation 134
 
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 3055
 
10.4%
탁 2988
 
10.2%
소 1678
 
5.7%
사 1004
 
3.4%
크 669
 
2.3%
백 620
 
2.1%
리 587
 
2.0%
성 566
 
1.9%
대 517
 
1.8%
동 463
 
1.6%
Other values (558) 17160
58.6%
Uppercase Letter
ValueCountFrequency (%)
K 37
16.2%
S 27
11.8%
C 20
 
8.7%
A 14
 
6.1%
L 14
 
6.1%
M 13
 
5.7%
H 12
 
5.2%
O 12
 
5.2%
P 10
 
4.4%
G 10
 
4.4%
Other values (14) 60
26.2%
Lowercase Letter
ValueCountFrequency (%)
e 23
23.7%
a 14
14.4%
h 9
 
9.3%
n 9
 
9.3%
w 5
 
5.2%
s 5
 
5.2%
o 5
 
5.2%
l 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 (%)
876
100.0%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29306
94.6%
Common 1351
 
4.4%
Latin 327
 
1.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
세 3055
 
10.4%
탁 2988
 
10.2%
소 1678
 
5.7%
사 1004
 
3.4%
크 669
 
2.3%
백 620
 
2.1%
리 587
 
2.0%
성 566
 
1.9%
대 517
 
1.8%
동 463
 
1.6%
Other values (557) 17159
58.6%
Latin
ValueCountFrequency (%)
K 37
 
11.3%
S 27
 
8.3%
e 23
 
7.0%
C 20
 
6.1%
A 14
 
4.3%
a 14
 
4.3%
L 14
 
4.3%
M 13
 
4.0%
H 12
 
3.7%
O 12
 
3.7%
Other values (34) 141
43.1%
Common
ValueCountFrequency (%)
876
64.8%
) 138
 
10.2%
( 134
 
9.9%
1 47
 
3.5%
2 45
 
3.3%
4 18
 
1.3%
& 15
 
1.1%
. 14
 
1.0%
3 12
 
0.9%
9 8
 
0.6%
Other values (16) 44
 
3.3%
Han
ValueCountFrequency (%)
光 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29306
94.6%
ASCII 1675
 
5.4%
None 2
 
< 0.1%
CJK 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
세 3055
 
10.4%
탁 2988
 
10.2%
소 1678
 
5.7%
사 1004
 
3.4%
크 669
 
2.3%
백 620
 
2.1%
리 587
 
2.0%
성 566
 
1.9%
대 517
 
1.8%
동 463
 
1.6%
Other values (557) 17159
58.6%
ASCII
ValueCountFrequency (%)
876
52.3%
) 138
 
8.2%
( 134
 
8.0%
1 47
 
2.8%
2 45
 
2.7%
K 37
 
2.2%
S 27
 
1.6%
e 23
 
1.4%
C 20
 
1.2%
4 18
 
1.1%
Other values (57) 310
 
18.5%
CJK
ValueCountFrequency (%)
光 1
100.0%
None
ValueCountFrequency (%)
＆ 1
50.0%
· 1
50.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

sitepostno
Text

MISSING 

Distinct1720
Distinct (%)27.7%
Missing109
Missing (%)1.7%
Memory size49.5 KiB
2024-04-16T12:59:46.403756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters37290
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

Unique818 ?
Unique (%)13.2%

Sample

1st row600814
2nd row600091
3rd row600074
4th row600803
5th row600803
ValueCountFrequency (%)
619903 35
 
0.6%
604851 33
 
0.5%
607837 28
 
0.5%
616800 28
 
0.5%
612824 27
 
0.4%
604813 27
 
0.4%
지번우편번호 26
 
0.4%
614822 25
 
0.4%
617818 25
 
0.4%
616829 24
 
0.4%
Other values (1710) 5937
95.5%
2024-04-16T12:59:46.788461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 6467
17.3%
8 6149
16.5%
0 5835
15.6%
1 5645
15.1%
2 2879
7.7%
4 2709
7.3%
3 2560
 
6.9%
7 1996
 
5.4%
9 1462
 
3.9%
5 1429
 
3.8%
Other values (6) 159
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37131
99.6%
Other Letter 156
 
0.4%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 6467
17.4%
8 6149
16.6%
0 5835
15.7%
1 5645
15.2%
2 2879
7.8%
4 2709
7.3%
3 2560
 
6.9%
7 1996
 
5.4%
9 1462
 
3.9%
5 1429
 
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 37134
99.6%
Hangul 156
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
6 6467
17.4%
8 6149
16.6%
0 5835
15.7%
1 5645
15.2%
2 2879
7.8%
4 2709
7.3%
3 2560
 
6.9%
7 1996
 
5.4%
9 1462
 
3.9%
5 1429
 
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 37134
99.6%
Hangul 156
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 6467
17.4%
8 6149
16.6%
0 5835
15.7%
1 5645
15.2%
2 2879
7.8%
4 2709
7.3%
3 2560
 
6.9%
7 1996
 
5.4%
9 1462
 
3.9%
5 1429
 
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

Distinct5703
Distinct (%)90.4%
Missing16
Missing (%)0.3%
Memory size49.5 KiB
2024-04-16T12:59:47.085260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length55
Mean length26.429455
Min length4

Characters and Unicode

Total characters166717
Distinct characters563
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

Unique5299 ?
Unique (%)84.0%

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 4742
 
15.4%
t통b반 668
 
2.2%
동래구 540
 
1.8%
부산진구 490
 
1.6%
경기도 467
 
1.5%
북구 463
 
1.5%
사하구 435
 
1.4%
해운대구 432
 
1.4%
남구 379
 
1.2%
금정구 376
 
1.2%
Other values (8097) 21790
70.8%
2024-04-16T12:59:47.504919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30105
 
18.1%
1 7640
 
4.6%
동 7625
 
4.6%
시 6381
 
3.8%
지 6060
 
3.6%
산 6057
 
3.6%
구 5847
 
3.5%
번 5695
 
3.4%
부 5654
 
3.4%
광 5249
 
3.1%
Other values (553) 80404
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96637
58.0%
Decimal Number 32621
 
19.6%
Space Separator 30105
 
18.1%
Dash Punctuation 5166
 
3.1%
Uppercase Letter 1662
 
1.0%
Other Punctuation 189
 
0.1%
Open Punctuation 135
 
0.1%
Close Punctuation 135
 
0.1%
Lowercase Letter 62
 
< 0.1%
Letter Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7625
 
7.9%
시 6381
 
6.6%
지 6060
 
6.3%
산 6057
 
6.3%
구 5847
 
6.1%
번 5695
 
5.9%
부 5654
 
5.9%
광 5249
 
5.4%
역 5041
 
5.2%
상 1401
 
1.4%
Other values (490) 41627
43.1%
Uppercase Letter
ValueCountFrequency (%)
B 735
44.2%
T 694
41.8%
A 82
 
4.9%
S 24
 
1.4%
P 22
 
1.3%
K 21
 
1.3%
I 15
 
0.9%
L 10
 
0.6%
G 10
 
0.6%
C 10
 
0.6%
Other values (14) 39
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 16
25.8%
s 9
14.5%
c 6
 
9.7%
a 5
 
8.1%
i 4
 
6.5%
r 4
 
6.5%
l 3
 
4.8%
h 3
 
4.8%
p 3
 
4.8%
t 2
 
3.2%
Other values (6) 7
11.3%
Decimal Number
ValueCountFrequency (%)
1 7640
23.4%
2 4296
13.2%
3 3584
11.0%
0 3046
 
9.3%
4 2956
 
9.1%
5 2692
 
8.3%
6 2392
 
7.3%
7 2155
 
6.6%
8 2003
 
6.1%
9 1857
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 118
62.4%
@ 26
 
13.8%
. 22
 
11.6%
/ 20
 
10.6%
& 1
 
0.5%
' 1
 
0.5%
· 1
 
0.5%
Space Separator
ValueCountFrequency (%)
30105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5166
100.0%
Open Punctuation
ValueCountFrequency (%)
( 135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96637
58.0%
Common 68353
41.0%
Latin 1727
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7625
 
7.9%
시 6381
 
6.6%
지 6060
 
6.3%
산 6057
 
6.3%
구 5847
 
6.1%
번 5695
 
5.9%
부 5654
 
5.9%
광 5249
 
5.4%
역 5041
 
5.2%
상 1401
 
1.4%
Other values (490) 41627
43.1%
Latin
ValueCountFrequency (%)
B 735
42.6%
T 694
40.2%
A 82
 
4.7%
S 24
 
1.4%
P 22
 
1.3%
K 21
 
1.2%
e 16
 
0.9%
I 15
 
0.9%
L 10
 
0.6%
G 10
 
0.6%
Other values (31) 98
 
5.7%
Common
ValueCountFrequency (%)
30105
44.0%
1 7640
 
11.2%
- 5166
 
7.6%
2 4296
 
6.3%
3 3584
 
5.2%
0 3046
 
4.5%
4 2956
 
4.3%
5 2692
 
3.9%
6 2392
 
3.5%
7 2155
 
3.2%
Other values (12) 4321
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96636
58.0%
ASCII 70076
42.0%
Number Forms 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30105
43.0%
1 7640
 
10.9%
- 5166
 
7.4%
2 4296
 
6.1%
3 3584
 
5.1%
0 3046
 
4.3%
4 2956
 
4.2%
5 2692
 
3.8%
6 2392
 
3.4%
7 2155
 
3.1%
Other values (51) 6044
 
8.6%
Hangul
ValueCountFrequency (%)
동 7625
 
7.9%
시 6381
 
6.6%
지 6060
 
6.3%
산 6057
 
6.3%
구 5847
 
6.1%
번 5695
 
5.9%
부 5654
 
5.9%
광 5249
 
5.4%
역 5041
 
5.2%
상 1401
 
1.4%
Other values (489) 41626
43.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

rdnpostno
Real number (ℝ)

Distinct2434
Distinct (%)38.5%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean42739.014
Minimum1045
Maximum63644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.7 KiB
2024-04-16T12:59:47.626975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1045
5-th percentile8717
Q146506
median48409
Q348947
95-th percentile49493
Maximum63644
Range62599
Interquartile range (IQR)2441

Descriptive statistics

Standard deviation13382.193
Coefficient of variation (CV)0.31311422
Kurtosis2.0590938
Mean42739.014
Median Absolute Deviation (MAD)662
Skewness-1.8340566
Sum2.7015331 × 108
Variance1.7908309 × 108
MonotonicityNot monotonic
2024-04-16T12:59:47.770085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48947 2124
33.6%
48052 12
 
0.2%
48055 10
 
0.2%
48093 9
 
0.1%
49441 9
 
0.1%
48057 9
 
0.1%
49316 9
 
0.1%
48516 8
 
0.1%
48051 8
 
0.1%
48119 8
 
0.1%
Other values (2424) 4115
65.1%
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 (%)
63644 1
 
< 0.1%
63630 1
 
< 0.1%
63629 1
 
< 0.1%
63559 1
 
< 0.1%
63349 2
< 0.1%
63274 1
 
< 0.1%
63265 1
 
< 0.1%
63248 1
 
< 0.1%
63238 4
0.1%
63172 1
 
< 0.1%

rdnwhladdr
Text

MISSING 

Distinct3804
Distinct (%)89.0%
Missing2051
Missing (%)32.4%
Memory size49.5 KiB
2024-04-16T12:59:48.085641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length59
Mean length32.282705
Min length5

Characters and Unicode

Total characters137944
Distinct characters596
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

Unique3519 ?
Unique (%)82.4%

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 2703
 
10.1%
1층 1193
 
4.5%
경기도 472
 
1.8%
해운대구 324
 
1.2%
서울특별시 323
 
1.2%
부산진구 302
 
1.1%
상가동 288
 
1.1%
남구 260
 
1.0%
북구 243
 
0.9%
동래구 237
 
0.9%
Other values (6268) 20334
76.2%
2024-04-16T12:59:48.629406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22407
 
16.2%
1 6488
 
4.7%
동 5720
 
4.1%
시 4504
 
3.3%
로 4006
 
2.9%
( 3988
 
2.9%
) 3988
 
2.9%
구 3782
 
2.7%
산 3735
 
2.7%
부 3426
 
2.5%
Other values (586) 75900
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80449
58.3%
Decimal Number 22621
 
16.4%
Space Separator 22407
 
16.2%
Open Punctuation 3988
 
2.9%
Close Punctuation 3988
 
2.9%
Other Punctuation 3298
 
2.4%
Dash Punctuation 805
 
0.6%
Uppercase Letter 316
 
0.2%
Lowercase Letter 58
 
< 0.1%
Math Symbol 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5720
 
7.1%
시 4504
 
5.6%
로 4006
 
5.0%
구 3782
 
4.7%
산 3735
 
4.6%
부 3426
 
4.3%
광 3270
 
4.1%
역 3015
 
3.7%
길 2480
 
3.1%
번 1879
 
2.3%
Other values (524) 44632
55.5%
Uppercase Letter
ValueCountFrequency (%)
B 83
26.3%
A 76
24.1%
S 24
 
7.6%
C 21
 
6.6%
K 19
 
6.0%
T 15
 
4.7%
I 14
 
4.4%
P 13
 
4.1%
R 7
 
2.2%
L 6
 
1.9%
Other values (14) 38
12.0%
Lowercase Letter
ValueCountFrequency (%)
e 18
31.0%
s 9
15.5%
c 4
 
6.9%
a 4
 
6.9%
r 4
 
6.9%
l 3
 
5.2%
h 3
 
5.2%
i 3
 
5.2%
p 2
 
3.4%
k 2
 
3.4%
Other values (5) 6
 
10.3%
Decimal Number
ValueCountFrequency (%)
1 6488
28.7%
2 3347
14.8%
0 2355
 
10.4%
3 2250
 
9.9%
4 1772
 
7.8%
5 1576
 
7.0%
6 1406
 
6.2%
7 1253
 
5.5%
8 1115
 
4.9%
9 1059
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 3248
98.5%
. 19
 
0.6%
@ 18
 
0.5%
/ 7
 
0.2%
· 4
 
0.1%
& 1
 
< 0.1%
' 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
22407
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3988
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3988
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 805
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80449
58.3%
Common 57118
41.4%
Latin 377
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5720
 
7.1%
시 4504
 
5.6%
로 4006
 
5.0%
구 3782
 
4.7%
산 3735
 
4.6%
부 3426
 
4.3%
광 3270
 
4.1%
역 3015
 
3.7%
길 2480
 
3.1%
번 1879
 
2.3%
Other values (524) 44632
55.5%
Latin
ValueCountFrequency (%)
B 83
22.0%
A 76
20.2%
S 24
 
6.4%
C 21
 
5.6%
K 19
 
5.0%
e 18
 
4.8%
T 15
 
4.0%
I 14
 
3.7%
P 13
 
3.4%
s 9
 
2.4%
Other values (30) 85
22.5%
Common
ValueCountFrequency (%)
22407
39.2%
1 6488
 
11.4%
( 3988
 
7.0%
) 3988
 
7.0%
2 3347
 
5.9%
, 3248
 
5.7%
0 2355
 
4.1%
3 2250
 
3.9%
4 1772
 
3.1%
5 1576
 
2.8%
Other values (12) 5699
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80449
58.3%
ASCII 57488
41.7%
None 4
 
< 0.1%
Number Forms 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22407
39.0%
1 6488
 
11.3%
( 3988
 
6.9%
) 3988
 
6.9%
2 3347
 
5.8%
, 3248
 
5.6%
0 2355
 
4.1%
3 2250
 
3.9%
4 1772
 
3.1%
5 1576
 
2.7%
Other values (50) 6069
 
10.6%
Hangul
ValueCountFrequency (%)
동 5720
 
7.1%
시 4504
 
5.6%
로 4006
 
5.0%
구 3782
 
4.7%
산 3735
 
4.6%
부 3426
 
4.3%
광 3270
 
4.1%
역 3015
 
3.7%
길 2480
 
3.1%
번 1879
 
2.3%
Other values (524) 44632
55.5%
None
ValueCountFrequency (%)
· 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
100.0%

apvpermymd
Real number (ℝ)

SKEWED 

Distinct3117
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20022029
Minimum9870512
Maximum20210129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.7 KiB
2024-04-16T12:59:48.761813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9870512
5-th percentile19870513
Q119911231
median20001110
Q320181017
95-th percentile20200730
Maximum20210129
Range10339617
Interquartile range (IQR)269786

Descriptive statistics

Standard deviation247350.59
Coefficient of variation (CV)0.012353922
Kurtosis1191.9589
Mean20022029
Median Absolute Deviation (MAD)110601.5
Skewness-29.845672
Sum1.2661931 × 1011
Variance6.1182315 × 1010
MonotonicityNot monotonic
2024-04-16T12:59:48.898368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19870513 255
 
4.0%
19870515 75
 
1.2%
19870509 57
 
0.9%
19870512 47
 
0.7%
19870518 41
 
0.6%
19870521 40
 
0.6%
19870523 39
 
0.6%
19870519 34
 
0.5%
19870529 33
 
0.5%
19870707 29
 
0.5%
Other values (3107) 5674
89.7%
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 (%)
20210129 4
0.1%
20210128 9
0.1%
20210127 3
 
< 0.1%
20210126 3
 
< 0.1%
20210125 4
0.1%
20210122 2
 
< 0.1%
20210121 2
 
< 0.1%
20210118 2
 
< 0.1%
20210115 8
0.1%
20210114 6
0.1%

dcbymd
Text

MISSING 

Distinct1977
Distinct (%)56.3%
Missing2810
Missing (%)44.4%
Memory size49.5 KiB
2024-04-16T12:59:49.152454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.5344337
Min length4

Characters and Unicode

Total characters26476
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

Unique1482 ?
Unique (%)42.2%

Sample

1st row20170511
2nd row20040220
3rd row20040920
4th row20080814
5th row20041208
ValueCountFrequency (%)
폐업일자 409
 
11.6%
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%
20000731 14
 
0.4%
Other values (1967) 2782
79.2%
2024-04-16T12:59:49.499715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8241
31.1%
2 5153
19.5%
1 4516
17.1%
9 1321
 
5.0%
3 1284
 
4.8%
7 1069
 
4.0%
6 860
 
3.2%
5 829
 
3.1%
4 813
 
3.1%
8 753
 
2.8%
Other values (5) 1637
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24839
93.8%
Other Letter 1636
 
6.2%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8241
33.2%
2 5153
20.7%
1 4516
18.2%
9 1321
 
5.3%
3 1284
 
5.2%
7 1069
 
4.3%
6 860
 
3.5%
5 829
 
3.3%
4 813
 
3.3%
8 753
 
3.0%
Other Letter
ValueCountFrequency (%)
폐 409
25.0%
업 409
25.0%
일 409
25.0%
자 409
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24840
93.8%
Hangul 1636
 
6.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8241
33.2%
2 5153
20.7%
1 4516
18.2%
9 1321
 
5.3%
3 1284
 
5.2%
7 1069
 
4.3%
6 860
 
3.5%
5 829
 
3.3%
4 813
 
3.3%
8 753
 
3.0%
Hangul
ValueCountFrequency (%)
폐 409
25.0%
업 409
25.0%
일 409
25.0%
자 409
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24840
93.8%
Hangul 1636
 
6.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8241
33.2%
2 5153
20.7%
1 4516
18.2%
9 1321
 
5.3%
3 1284
 
5.2%
7 1069
 
4.3%
6 860
 
3.5%
5 829
 
3.3%
4 813
 
3.3%
8 753
 
3.0%
Hangul
ValueCountFrequency (%)
폐 409
25.0%
업 409
25.0%
일 409
25.0%
자 409
25.0%

clgstdt
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
<NA>
5908 
휴업시작일자
 
416

Length

Max length6
Median length4
Mean length4.1315623
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> 5908
93.4%
휴업시작일자 416
 
6.6%

Length

2024-04-16T12:59:49.623833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:49.710731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5908
93.4%
휴업시작일자 416
 
6.6%

clgenddt
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
<NA>
5908 
휴업종료일자
 
416

Length

Max length6
Median length4
Mean length4.1315623
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> 5908
93.4%
휴업종료일자 416
 
6.6%

Length

2024-04-16T12:59:49.797252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:49.891181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5908
93.4%
휴업종료일자 416
 
6.6%

ropnymd
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
<NA>
5908 
재개업일자
 
416

Length

Max length5
Median length4
Mean length4.0657812
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> 5908
93.4%
재개업일자 416
 
6.6%

Length

2024-04-16T12:59:49.983316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:50.064475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5908
93.4%
재개업일자 416
 
6.6%

trdstatenm
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
02
2886 
영업/정상
1610 
01
1592 
폐업
 
218
<NA>
 
11
Other values (3)
 
7

Length

Max length14
Median length2
Mean length2.772296
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
02 2886
45.6%
영업/정상 1610
25.5%
01 1592
25.2%
폐업 218
 
3.4%
<NA> 11
 
0.2%
영업상태 4
 
0.1%
제외/삭제/전출 2
 
< 0.1%
취소/말소/만료/정지/중지 1
 
< 0.1%

Length

2024-04-16T12:59:50.146571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:50.237585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02 2886
45.6%
영업/정상 1610
25.5%
01 1592
25.2%
폐업 218
 
3.4%
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 size49.5 KiB
영업
3175 
폐업
3105 
영업중
 
37
변경
 
4
삭제
 
2

Length

Max length4
Median length2
Mean length2.006167
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업 3175
50.2%
폐업 3105
49.1%
영업중 37
 
0.6%
변경 4
 
0.1%
삭제 2
 
< 0.1%
직권폐업 1
 
< 0.1%

Length

2024-04-16T12:59:50.345793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:50.437809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 3175
50.2%
폐업 3105
49.1%
영업중 37
 
0.6%
변경 4
 
0.1%
삭제 2
 
< 0.1%
직권폐업 1
 
< 0.1%

x
Text

MISSING 

Distinct5310
Distinct (%)87.8%
Missing277
Missing (%)4.4%
Memory size49.5 KiB
2024-04-16T12:59:50.623901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.950554
Min length7

Characters and Unicode

Total characters120641
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

Unique4819 ?
Unique (%)79.7%

Sample

1st row385844.46764500000
2nd row385286.93835400000
3rd row384464.22393800000
4th row384660.977766
5th row384581.409949
ValueCountFrequency (%)
좌표정보(x 23
 
0.4%
209394.231297346 7
 
0.1%
395388.715069604 5
 
0.1%
378474.793935 5
 
0.1%
186802.970551385 5
 
0.1%
191055.247973785 5
 
0.1%
197542.687282146 4
 
0.1%
386910.508505 4
 
0.1%
222532.99509917 4
 
0.1%
383207.082975 4
 
0.1%
Other values (5300) 5981
98.9%
2024-04-16T12:59:50.941916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26326
21.8%
0 18946
15.7%
3 11080
9.2%
8 9342
 
7.7%
9 8142
 
6.7%
2 7481
 
6.2%
1 7315
 
6.1%
7 6669
 
5.5%
4 6589
 
5.5%
5 6389
 
5.3%
Other values (9) 12362
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88161
73.1%
Space Separator 26326
 
21.8%
Other Punctuation 5993
 
5.0%
Other Letter 92
 
0.1%
Uppercase Letter 23
 
< 0.1%
Close Punctuation 23
 
< 0.1%
Open Punctuation 23
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18946
21.5%
3 11080
12.6%
8 9342
10.6%
9 8142
9.2%
2 7481
 
8.5%
1 7315
 
8.3%
7 6669
 
7.6%
4 6589
 
7.5%
5 6389
 
7.2%
6 6208
 
7.0%
Other Letter
ValueCountFrequency (%)
표 23
25.0%
보 23
25.0%
정 23
25.0%
좌 23
25.0%
Space Separator
ValueCountFrequency (%)
26326
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5993
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120526
99.9%
Hangul 92
 
0.1%
Latin 23
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
26326
21.8%
0 18946
15.7%
3 11080
9.2%
8 9342
 
7.8%
9 8142
 
6.8%
2 7481
 
6.2%
1 7315
 
6.1%
7 6669
 
5.5%
4 6589
 
5.5%
5 6389
 
5.3%
Other values (4) 12247
10.2%
Hangul
ValueCountFrequency (%)
표 23
25.0%
보 23
25.0%
정 23
25.0%
좌 23
25.0%
Latin
ValueCountFrequency (%)
X 23
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120549
99.9%
Hangul 92
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26326
21.8%
0 18946
15.7%
3 11080
9.2%
8 9342
 
7.7%
9 8142
 
6.8%
2 7481
 
6.2%
1 7315
 
6.1%
7 6669
 
5.5%
4 6589
 
5.5%
5 6389
 
5.3%
Other values (5) 12270
10.2%
Hangul
ValueCountFrequency (%)
표 23
25.0%
보 23
25.0%
정 23
25.0%
좌 23
25.0%

y
Text

MISSING 

Distinct5310
Distinct (%)87.8%
Missing277
Missing (%)4.4%
Memory size49.5 KiB
2024-04-16T12:59:51.144238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.950554
Min length7

Characters and Unicode

Total characters120641
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

Unique4819 ?
Unique (%)79.7%

Sample

1st row180840.18410800000
2nd row180439.91103500000
3rd row180221.47261700000
4th row180177.894242
5th row180434.791445
ValueCountFrequency (%)
좌표정보(y 23
 
0.4%
443951.236927017 7
 
0.1%
186268.853282623 5
 
0.1%
180075.396084 5
 
0.1%
450005.881977638 5
 
0.1%
466454.4498163 5
 
0.1%
448325.294355232 4
 
0.1%
190996.315979 4
 
0.1%
330357.178513591 4
 
0.1%
193582.095669 4
 
0.1%
Other values (5300) 5981
98.9%
2024-04-16T12:59:51.446090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26322
21.8%
0 18285
15.2%
1 11248
9.3%
8 8894
 
7.4%
9 8198
 
6.8%
4 7431
 
6.2%
7 7170
 
5.9%
2 6891
 
5.7%
5 6732
 
5.6%
6 6650
 
5.5%
Other values (11) 12820
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88147
73.1%
Space Separator 26322
 
21.8%
Other Punctuation 5992
 
5.0%
Other Letter 92
 
0.1%
Close Punctuation 24
 
< 0.1%
Uppercase Letter 23
 
< 0.1%
Open Punctuation 23
 
< 0.1%
Dash Punctuation 18
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18285
20.7%
1 11248
12.8%
8 8894
10.1%
9 8198
9.3%
4 7431
8.4%
7 7170
 
8.1%
2 6891
 
7.8%
5 6732
 
7.6%
6 6650
 
7.5%
3 6648
 
7.5%
Other Letter
ValueCountFrequency (%)
좌 23
25.0%
표 23
25.0%
보 23
25.0%
정 23
25.0%
Close Punctuation
ValueCountFrequency (%)
) 23
95.8%
] 1
 
4.2%
Space Separator
ValueCountFrequency (%)
26322
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5992
100.0%
Uppercase Letter
ValueCountFrequency (%)
Y 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120526
99.9%
Hangul 92
 
0.1%
Latin 23
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
26322
21.8%
0 18285
15.2%
1 11248
9.3%
8 8894
 
7.4%
9 8198
 
6.8%
4 7431
 
6.2%
7 7170
 
5.9%
2 6891
 
5.7%
5 6732
 
5.6%
6 6650
 
5.5%
Other values (6) 12705
10.5%
Hangul
ValueCountFrequency (%)
좌 23
25.0%
표 23
25.0%
보 23
25.0%
정 23
25.0%
Latin
ValueCountFrequency (%)
Y 23
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120549
99.9%
Hangul 92
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26322
21.8%
0 18285
15.2%
1 11248
9.3%
8 8894
 
7.4%
9 8198
 
6.8%
4 7431
 
6.2%
7 7170
 
5.9%
2 6891
 
5.7%
5 6732
 
5.6%
6 6650
 
5.5%
Other values (7) 12728
10.6%
Hangul
ValueCountFrequency (%)
좌 23
25.0%
표 23
25.0%
보 23
25.0%
정 23
25.0%

lastmodts
Real number (ℝ)

Distinct4468
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0118357 × 1013
Minimum1.9990128 × 1013
Maximum2.0210129 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size55.7 KiB
2024-04-16T12:59:51.566907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9990128 × 1013
5-th percentile1.9990603 × 1013
Q12.0050325 × 1013
median2.0130123 × 1013
Q32.0190318 × 1013
95-th percentile2.0201019 × 1013
Maximum2.0210129 × 1013
Range2.2000117 × 1011
Interquartile range (IQR)1.3999339 × 1011

Descriptive statistics

Standard deviation6.9330418 × 1010
Coefficient of variation (CV)0.0034461273
Kurtosis-1.2502614
Mean2.0118357 × 1013
Median Absolute Deviation (MAD)6.057802 × 1010
Skewness-0.34483979
Sum1.2722849 × 1017
Variance4.8067069 × 1021
MonotonicityNot monotonic
2024-04-16T12:59:51.901404image/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
 
0.9%
20020415000000 53
 
0.8%
20020510000000 48
 
0.8%
20020412000000 47
 
0.7%
19990429000000 37
 
0.6%
20030805000000 33
 
0.5%
20031118000000 31
 
0.5%
Other values (4458) 5778
91.4%
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 (%)
20210129171345 2
< 0.1%
20210129170731 1
< 0.1%
20210129144441 1
< 0.1%
20210129115116 2
< 0.1%
20210128160052 1
< 0.1%
20210128151323 1
< 0.1%
20210128151316 1
< 0.1%
20210128150508 1
< 0.1%
20210128143257 1
< 0.1%
20210128133646 1
< 0.1%

uptaenm
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
일반세탁업
5757 
빨래방업
 
231
운동화전문세탁업
 
163
세탁업 기타
 
127
<NA>
 
35

Length

Max length8
Median length5
Mean length5.0553447
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 5757
91.0%
빨래방업 231
 
3.7%
운동화전문세탁업 163
 
2.6%
세탁업 기타 127
 
2.0%
<NA> 35
 
0.6%
업태구분명 11
 
0.2%

Length

2024-04-16T12:59:52.010166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:52.100702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 5757
89.2%
빨래방업 231
 
3.6%
운동화전문세탁업 163
 
2.5%
세탁업 127
 
2.0%
기타 127
 
2.0%
na 35
 
0.5%
업태구분명 11
 
0.2%

sitetel
Text

MISSING 

Distinct137
Distinct (%)2.2%
Missing162
Missing (%)2.6%
Memory size49.5 KiB
2024-04-16T12:59:52.224303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.918858
Min length4

Characters and Unicode

Total characters73444
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

Unique117 ?
Unique (%)1.9%

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 5952
93.1%
전화번호 52
 
0.8%
051 26
 
0.4%
02 23
 
0.4%
031 20
 
0.3%
032 9
 
0.1%
053 9
 
0.1%
041 8
 
0.1%
043 7
 
0.1%
062 7
 
0.1%
Other values (213) 279
 
4.4%
2024-04-16T12:59:52.459758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 18015
24.5%
2 12100
16.5%
3 12072
16.4%
- 11912
16.2%
0 6203
 
8.4%
5 6114
 
8.3%
4 6065
 
8.3%
246
 
0.3%
8 163
 
0.2%
6 139
 
0.2%
Other values (6) 415
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61078
83.2%
Dash Punctuation 11912
 
16.2%
Space Separator 246
 
0.3%
Other Letter 208
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 18015
29.5%
2 12100
19.8%
3 12072
19.8%
0 6203
 
10.2%
5 6114
 
10.0%
4 6065
 
9.9%
8 163
 
0.3%
6 139
 
0.2%
9 104
 
0.2%
7 103
 
0.2%
Other Letter
ValueCountFrequency (%)
전 52
25.0%
화 52
25.0%
번 52
25.0%
호 52
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 11912
100.0%
Space Separator
ValueCountFrequency (%)
246
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 73236
99.7%
Hangul 208
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 18015
24.6%
2 12100
16.5%
3 12072
16.5%
- 11912
16.3%
0 6203
 
8.5%
5 6114
 
8.3%
4 6065
 
8.3%
246
 
0.3%
8 163
 
0.2%
6 139
 
0.2%
Other values (2) 207
 
0.3%
Hangul
ValueCountFrequency (%)
전 52
25.0%
화 52
25.0%
번 52
25.0%
호 52
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 73236
99.7%
Hangul 208
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 18015
24.6%
2 12100
16.5%
3 12072
16.5%
- 11912
16.3%
0 6203
 
8.5%
5 6114
 
8.3%
4 6065
 
8.3%
246
 
0.3%
8 163
 
0.2%
6 139
 
0.2%
Other values (2) 207
 
0.3%
Hangul
ValueCountFrequency (%)
전 52
25.0%
화 52
25.0%
번 52
25.0%
호 52
25.0%

bdngownsenm
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
<NA>
4612 
임대
1167 
건물소유구분명
 
323
자가
 
222

Length

Max length7
Median length4
Mean length3.7139469
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4612
72.9%
임대 1167
 
18.5%
건물소유구분명 323
 
5.1%
자가 222
 
3.5%

Length

2024-04-16T12:59:52.558357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:52.636231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4612
72.9%
임대 1167
 
18.5%
건물소유구분명 323
 
5.1%
자가 222
 
3.5%

bdngjisgflrcnt
Categorical

IMBALANCE 

Distinct41
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
0
2635 
<NA>
1260 
2
873 
3
486 
1
455 
Other values (36)
615 

Length

Max length6
Median length1
Mean length1.6320367
Min length1

Unique

Unique9 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 2635
41.7%
<NA> 1260
19.9%
2 873
 
13.8%
3 486
 
7.7%
1 455
 
7.2%
4 335
 
5.3%
5 119
 
1.9%
건물지상층수 26
 
0.4%
6 23
 
0.4%
7 11
 
0.2%
Other values (31) 101
 
1.6%

Length

2024-04-16T12:59:52.723835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 2635
41.7%
na 1260
19.9%
2 873
 
13.8%
3 486
 
7.7%
1 455
 
7.2%
4 335
 
5.3%
5 119
 
1.9%
건물지상층수 26
 
0.4%
6 23
 
0.4%
7 11
 
0.2%
Other values (31) 101
 
1.6%

bdngunderflrcnt
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
0
3688 
<NA>
1931 
1
574 
2
 
41
3
 
27
Other values (5)
 
63

Length

Max length6
Median length1
Mean length1.9367489
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 3688
58.3%
<NA> 1931
30.5%
1 574
 
9.1%
2 41
 
0.6%
3 27
 
0.4%
건물지하층수 26
 
0.4%
4 16
 
0.3%
5 13
 
0.2%
6 7
 
0.1%
10 1
 
< 0.1%

Length

2024-04-16T12:59:52.820073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:52.925468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3688
58.3%
na 1931
30.5%
1 574
 
9.1%
2 41
 
0.6%
3 27
 
0.4%
건물지하층수 26
 
0.4%
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 size49.5 KiB
<NA>
4654 
0
1435 
1
 
158
남성종사자수
 
37
2
 
24
Other values (8)
 
16

Length

Max length6
Median length4
Mean length3.2375079
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> 4654
73.6%
0 1435
 
22.7%
1 158
 
2.5%
남성종사자수 37
 
0.6%
2 24
 
0.4%
7 5
 
0.1%
5 3
 
< 0.1%
4 3
 
< 0.1%
20 1
 
< 0.1%
9 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

Length

2024-04-16T12:59:53.028978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 4654
73.6%
0 1435
 
22.7%
1 158
 
2.5%
남성종사자수 37
 
0.6%
2 24
 
0.4%
7 5
 
0.1%
5 3
 
< 0.1%
4 3
 
< 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 size49.5 KiB
<NA>
5908 
다
 
416

Length

Max length4
Median length4
Mean length3.8026565
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> 5908
93.4%
다 416
 
6.6%

Length

2024-04-16T12:59:53.122051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:53.208822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5908
93.4%
다 416
 
6.6%

multusnupsoyn
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
N
6316 
<NA>
 
4
다
 
3
Y
 
1

Length

Max length4
Median length1
Mean length1.0018975
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
N 6316
99.9%
<NA> 4
 
0.1%
다 3
 
< 0.1%
Y 1
 
< 0.1%

Length

2024-04-16T12:59:53.312164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:53.414670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 6316
99.9%
na 4
 
0.1%
다 3
 
< 0.1%
y 1
 
< 0.1%

balhansilyn
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
N
6317 
<NA>
 
4
발
 
3

Length

Max length4
Median length1
Mean length1.0018975
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 6317
99.9%
<NA> 4
 
0.1%
발 3
 
< 0.1%

Length

2024-04-16T12:59:53.524767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:53.624800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 6317
99.9%
na 4
 
0.1%
발 3
 
< 0.1%

usejisgendflr
Categorical

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
<NA>
2940 
1
1990 
0
813 
2
301 
사용끝지상층
 
219
Other values (8)
 
61

Length

Max length6
Median length1
Mean length2.5683112
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2940
46.5%
1 1990
31.5%
0 813
 
12.9%
2 301
 
4.8%
사용끝지상층 219
 
3.5%
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

2024-04-16T12:59:53.727850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2940
46.5%
1 1990
31.5%
0 813
 
12.9%
2 301
 
4.8%
사용끝지상층 219
 
3.5%
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 size49.5 KiB
<NA>
4202 
0
1617 
사용끝지하층
 
340
1
 
146
2
 
15
Other values (2)
 
4

Length

Max length6
Median length4
Mean length3.2621758
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> 4202
66.4%
0 1617
 
25.6%
사용끝지하층 340
 
5.4%
1 146
 
2.3%
2 15
 
0.2%
3 3
 
< 0.1%
5 1
 
< 0.1%

Length

2024-04-16T12:59:53.839828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:53.947617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4202
66.4%
0 1617
 
25.6%
사용끝지하층 340
 
5.4%
1 146
 
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 size49.5 KiB
<NA>
2211 
1
2064 
0
1474 
2
300 
사용시작지상층
 
195
Other values (9)
 
80

Length

Max length7
Median length1
Mean length2.2343454
Min length1

Unique

Unique4 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2211
35.0%
1 2064
32.6%
0 1474
23.3%
2 300
 
4.7%
사용시작지상층 195
 
3.1%
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

2024-04-16T12:59:54.068117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2211
35.0%
1 2064
32.6%
0 1474
23.3%
2 300
 
4.7%
사용시작지상층 195
 
3.1%
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

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
<NA>
3258 
0
2555 
사용시작지하층
340 
1
 
154
2
 
12
Other values (2)
 
5

Length

Max length7
Median length4
Mean length2.8681214
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> 3258
51.5%
0 2555
40.4%
사용시작지하층 340
 
5.4%
1 154
 
2.4%
2 12
 
0.2%
3 4
 
0.1%
5 1
 
< 0.1%

Length

2024-04-16T12:59:54.164585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:54.255816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3258
51.5%
0 2555
40.4%
사용시작지하층 340
 
5.4%
1 154
 
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 size49.5 KiB
<NA>
3056 
1
1070 
2
795 
0
741 
3
381 
Other values (11)
 
281

Length

Max length4
Median length1
Mean length2.4636306
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> 3056
48.3%
1 1070
 
16.9%
2 795
 
12.6%
0 741
 
11.7%
3 381
 
6.0%
4 169
 
2.7%
5 41
 
0.6%
세탁기수 26
 
0.4%
6 20
 
0.3%
7 6
 
0.1%
Other values (6) 19
 
0.3%

Length

2024-04-16T12:59:54.353492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3056
48.3%
1 1070
 
16.9%
2 795
 
12.6%
0 741
 
11.7%
3 381
 
6.0%
4 169
 
2.7%
5 41
 
0.6%
세탁기수 26
 
0.4%
6 20
 
0.3%
7 6
 
0.1%
Other values (6) 19
 
0.3%

medkind
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
<NA>
5908 
수리대상 의료기기의 유형
 
416

Length

Max length13
Median length4
Mean length4.5920304
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> 5908
93.4%
수리대상 의료기기의 유형 416
 
6.6%

Length

2024-04-16T12:59:54.447258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:54.521623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5908
82.6%
수리대상 416
 
5.8%
의료기기의 416
 
5.8%
유형 416
 
5.8%

yangsilcnt
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
0
4103 
<NA>
2195 
양실수
 
26

Length

Max length4
Median length1
Mean length2.049494
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 4103
64.9%
<NA> 2195
34.7%
양실수 26
 
0.4%

Length

2024-04-16T12:59:54.600993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:54.677884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4103
64.9%
na 2195
34.7%
양실수 26
 
0.4%

wmeipcnt
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
<NA>
4662 
0
1503 
1
 
92
여성종사자수
 
39
2
 
12
Other values (5)
 
16

Length

Max length6
Median length4
Mean length3.242568
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> 4662
73.7%
0 1503
 
23.8%
1 92
 
1.5%
여성종사자수 39
 
0.6%
2 12
 
0.2%
4 7
 
0.1%
3 5
 
0.1%
8 2
 
< 0.1%
6 1
 
< 0.1%
32 1
 
< 0.1%

Length

2024-04-16T12:59:54.780627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:54.881624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4662
73.7%
0 1503
 
23.8%
1 92
 
1.5%
여성종사자수 39
 
0.6%
2 12
 
0.2%
4 7
 
0.1%
3 5
 
0.1%
8 2
 
< 0.1%
6 1
 
< 0.1%
32 1
 
< 0.1%

trdscp
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
<NA>
5908 
영업규모
 
416

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> 5908
93.4%
영업규모 416
 
6.6%

Length

2024-04-16T12:59:54.988197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:55.069059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5908
93.4%
영업규모 416
 
6.6%

yoksilcnt
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
0
4103 
<NA>
2195 
욕실수
 
26

Length

Max length4
Median length1
Mean length2.049494
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 4103
64.9%
<NA> 2195
34.7%
욕실수 26
 
0.4%

Length

2024-04-16T12:59:55.169819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:55.268395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4103
64.9%
na 2195
34.7%
욕실수 26
 
0.4%

sntuptaenm
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
일반세탁업
5757 
빨래방업
 
231
운동화전문세탁업
 
163
세탁업 기타
 
127
<NA>
 
35

Length

Max length8
Median length5
Mean length5.0553447
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반세탁업 5757
91.0%
빨래방업 231
 
3.7%
운동화전문세탁업 163
 
2.6%
세탁업 기타 127
 
2.0%
<NA> 35
 
0.6%
위생업태명 11
 
0.2%

Length

2024-04-16T12:59:55.387098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:55.509506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반세탁업 5757
89.2%
빨래방업 231
 
3.6%
운동화전문세탁업 163
 
2.5%
세탁업 127
 
2.0%
기타 127
 
2.0%
na 35
 
0.5%
위생업태명 11
 
0.2%

chaircnt
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
0
4099 
<NA>
2187 
의자수
 
26
3
 
4
2
 
2
Other values (4)
 
6

Length

Max length4
Median length1
Mean length2.0456989
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 4099
64.8%
<NA> 2187
34.6%
의자수 26
 
0.4%
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

2024-04-16T12:59:55.625573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:55.735646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4099
64.8%
na 2187
34.6%
의자수 26
 
0.4%
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 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
<NA>
5907 
조건부허가시작일자
 
414
20210122
 
2
20201224
 
1

Length

Max length9
Median length4
Mean length4.329222
Min length4

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> 5907
93.4%
조건부허가시작일자 414
 
6.5%
20210122 2
 
< 0.1%
20201224 1
 
< 0.1%

Length

2024-04-16T12:59:55.858120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:55.963857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5907
93.4%
조건부허가시작일자 414
 
6.5%
20210122 2
 
< 0.1%
20201224 1
 
< 0.1%

cndpermntwhy
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
<NA>
5907 
조건부허가신고사유
 
414
국유재산 유상 사용허가서의 사용기간에 따라 아래 기간만 영업 가능함.
 
2
국유재산 유상 사용허가에 따른 조건부 영업
 
1

Length

Max length38
Median length4
Mean length4.3410816
Min length4

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> 5907
93.4%
조건부허가신고사유 414
 
6.5%
국유재산 유상 사용허가서의 사용기간에 따라 아래 기간만 영업 가능함. 2
 
< 0.1%
국유재산 유상 사용허가에 따른 조건부 영업 1
 
< 0.1%

Length

2024-04-16T12:59:56.081654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:56.184114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5907
93.1%
조건부허가신고사유 414
 
6.5%
국유재산 3
 
< 0.1%
유상 3
 
< 0.1%
영업 3
 
< 0.1%
사용허가서의 2
 
< 0.1%
사용기간에 2
 
< 0.1%
따라 2
 
< 0.1%
아래 2
 
< 0.1%
기간만 2
 
< 0.1%
Other values (4) 5
 
0.1%

cndpermendymd
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
<NA>
5907 
조건부허가종료일자
 
414
20260114
 
2
20220430
 
1

Length

Max length9
Median length4
Mean length4.329222
Min length4

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> 5907
93.4%
조건부허가종료일자 414
 
6.5%
20260114 2
 
< 0.1%
20220430 1
 
< 0.1%

Length

2024-04-16T12:59:56.305646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:56.390208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5907
93.4%
조건부허가종료일자 414
 
6.5%
20260114 2
 
< 0.1%
20220430 1
 
< 0.1%

totscp
Categorical

IMBALANCE 

Distinct32
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
<NA>
5874 
총규모
 
405
1233
 
3
2831
 
3
10560
 
3
Other values (27)
 
36

Length

Max length7
Median length4
Mean length3.9441809
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> 5874
92.9%
총규모 405
 
6.4%
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

2024-04-16T12:59:56.486998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5874
92.9%
총규모 405
 
6.4%
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 size49.5 KiB
<NA>
3350 
0
2948 
침대수
 
26

Length

Max length4
Median length4
Mean length2.5974067
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> 3350
53.0%
0 2948
46.6%
침대수 26
 
0.4%

Length

2024-04-16T12:59:56.592153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:56.673518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3350
53.0%
0 2948
46.6%
침대수 26
 
0.4%

hanshilcnt
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
0
4103 
<NA>
2195 
한실수
 
26

Length

Max length4
Median length1
Mean length2.049494
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 4103
64.9%
<NA> 2195
34.7%
한실수 26
 
0.4%

Length

2024-04-16T12:59:56.759506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:56.841154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 4103
64.9%
na 2195
34.7%
한실수 26
 
0.4%

rcvdryncnt
Categorical

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
<NA>
3025 
1
1547 
0
1248 
2
 
256
3
 
112
Other values (9)
 
136

Length

Max length5
Median length1
Mean length2.4520873
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> 3025
47.8%
1 1547
24.5%
0 1248
19.7%
2 256
 
4.0%
3 112
 
1.8%
4 53
 
0.8%
5 38
 
0.6%
회수건조수 26
 
0.4%
7 6
 
0.1%
8 6
 
0.1%
Other values (4) 7
 
0.1%

Length

2024-04-16T12:59:56.937011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3025
47.8%
1 1547
24.5%
0 1248
19.7%
2 256
 
4.0%
3 112
 
1.8%
4 53
 
0.8%
5 38
 
0.6%
회수건조수 26
 
0.4%
7 6
 
0.1%
8 6
 
0.1%
Other values (4) 7
 
0.1%

last_load_dttm
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.5 KiB
2021-02-01 05:17:03
4896 
2021-02-01 05:17:04
1428 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-02-01 05:17:03
2nd row2021-02-01 05:17:03
3rd row2021-02-01 05:17:03
4th row2021-02-01 05:17:03
5th row2021-02-01 05:17:03

Common Values

ValueCountFrequency (%)
2021-02-01 05:17:03 4896
77.4%
2021-02-01 05:17:04 1428
 
22.6%

Length

2024-04-16T12:59:57.046249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-16T12:59:57.122490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-02-01 6324
50.0%
05:17:03 4896
38.7%
05:17:04 1428
 
11.3%

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>2021-02-01 05:17:03
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>2021-02-01 05:17:03
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>2021-02-01 05:17:03
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>2021-02-01 05:17:03
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>2021-02-01 05:17:03
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>2021-02-01 05:17:03
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>2021-02-01 05:17:03
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>2021-02-01 05:17:03
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>2021-02-01 05:17:03
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>2021-02-01 05:17:03
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6314631736100003610000-205-2021-0000106_20_01_PI2021-01-30 00:23:03.0세탁업클리닝 리퍼블릭503360광주광역시 남구 임암동 881 중흥 에스-클래스 에코시티61754광주광역시 남구 효천2로 12, 상가162동 106호 (임암동, 중흥 에스-클래스 에코시티)20210128<NA><NA><NA><NA>영업/정상영업<NA><NA>20210128160052일반세탁업<NA><NA>000<NA>NN00001<NA>00<NA>0일반세탁업0<NA><NA><NA><NA>0002021-02-01 05:17:04
6315631836900003690000-205-2021-0000106_20_01_PI2021-01-30 00:23:03.0세탁업(주)우리아이681806울산광역시 중구 반구동 776-1544505울산광역시 중구 내황3길 13, 1층 (반구동)20210128<NA><NA><NA><NA>영업/정상영업412403.797901346230655.81819859720210128143257일반세탁업052 7138008<NA>000<NA>NN1<NA>1<NA>1<NA>00<NA>0일반세탁업0<NA><NA><NA><NA>0012021-02-01 05:17:04
6316631938600003860000-205-2021-0000106_20_01_PI2021-01-30 00:23:03.0세탁업백조크리닝<NA>경기도 부천시 송내동 327-5 1층14731경기도 부천시 경인로3번길 16, 1층 (송내동)20210128<NA><NA><NA><NA>영업/정상영업178259.978422683442383.94287058820210128151323일반세탁업<NA><NA>000<NA>NN<NA><NA><NA><NA>6<NA>00<NA>0일반세탁업0<NA><NA><NA><NA>0082021-02-01 05:17:04
6317632057100005720000-205-2021-0000106_20_01_PI2021-01-30 00:23:03.0세탁업세영클리닝360190충청북도 청주시 상당구 용담동 421 세영첼시빌아파트28745충청북도 청주시 상당구 수영로 315, 세영첼시빌아파트 1층 108호 (용담동)20210128<NA><NA><NA><NA>영업/정상영업245371.969881348117.08185520210128103253일반세탁업043 284 8889<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>2021-02-01 05:17:04
6318632139900003990000-205-2021-0000106_20_01_PI2021-01-30 00:23:03.0세탁업동원세탁소472846경기도 남양주시 화도읍 묵현리 601 경성큰마을아파트(1단지) 상가동 202호일호12170경기도 남양주시 화도읍 경춘로 1619, 경성큰마을아파트 상가동 202호일부호20210128<NA><NA><NA><NA>영업/정상영업223873.337486089461332.0256542620210128151316일반세탁업<NA><NA>000<NA>NN2<NA>2<NA>1<NA>00<NA>0일반세탁업0<NA><NA><NA><NA>0002021-02-01 05:17:04
6319632239400003950000-205-2021-0000206_20_01_PI2021-01-30 00:23:03.0세탁업마마운동화이불 빨래방412807경기도 고양시 덕양구 성사동 71410294경기도 고양시 덕양구 호국로 851, 108호 (성사동)20210128<NA><NA><NA><NA>영업/정상영업185868.070324289462068.43494495820210128133646운동화전문세탁업<NA><NA>000<NA>NN<NA><NA><NA><NA>1<NA>00<NA>0운동화전문세탁업0<NA><NA><NA><NA>0032021-02-01 05:17:04
6320632332200003220000-205-2021-0000206_20_01_PI2021-01-31 00:23:03.0세탁업닥터데이빗135896서울특별시 강남구 신사동 639-12 마론빌딩6017서울특별시 강남구 언주로174길 19, 마론빌딩 1층 (신사동)20210129폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업203080.178008761447345.34131603620210129115116일반세탁업전화번호건물소유구분명000다NN1사용끝지하층1사용시작지하층2수리대상 의료기기의 유형00영업규모0일반세탁업0조건부허가시작일자조건부허가신고사유조건부허가종료일자총규모0022021-02-01 05:17:04
6321632440700004070000-205-2021-0000206_20_01_PI2021-01-31 00:23:03.0세탁업세탁보감467120경기도 이천시 단월동 365-1017400경기도 이천시 단월로 58 (단월동)20210129<NA><NA><NA><NA>영업/정상영업239918.030427981413620.38000103720210129171345일반세탁업031 633 3338임대101<NA>NN1<NA>1<NA>4<NA>01<NA>0일반세탁업0<NA><NA><NA><NA>0022021-02-01 05:17:04
6322632532200003220000-205-2021-0000206_20_01_PI2021-01-31 00:23:03.0세탁업닥터데이빗135896서울특별시 강남구 신사동 639-12 마론빌딩6017서울특별시 강남구 언주로174길 19, 마론빌딩 1층 (신사동)20210129폐업일자휴업시작일자휴업종료일자재개업일자영업/정상영업203080.178008761447345.34131603620210129115116일반세탁업전화번호건물소유구분명000다NN1사용끝지하층1사용시작지하층2수리대상 의료기기의 유형00영업규모0일반세탁업0조건부허가시작일자조건부허가신고사유조건부허가종료일자총규모0022021-02-01 05:17:04
6323632640700004070000-205-2021-0000206_20_01_PI2021-01-31 00:23:03.0세탁업세탁보감467120경기도 이천시 단월동 365-1017400경기도 이천시 단월로 58 (단월동)20210129<NA><NA><NA><NA>영업/정상영업239918.030427981413620.38000103720210129171345일반세탁업031 633 3338임대101<NA>NN1<NA>1<NA>4<NA>01<NA>0일반세탁업0<NA><NA><NA><NA>0022021-02-01 05:17:04