Overview

Dataset statistics

Number of variables27
Number of observations93
Missing cells830
Missing cells (%)33.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.0 KiB
Average record size in memory231.4 B

Variable types

Numeric6
DateTime2
Unsupported7
Categorical6
Text6

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),사무소전화번호,사업장전화번호
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21239/S/1/datasetView.do

Alerts

데이터갱신구분 is highly imbalanced (50.8%)Imbalance
데이터갱신일자 is highly imbalanced (65.0%)Imbalance
인허가취소일자 has 93 (100.0%) missing valuesMissing
폐업일자 has 70 (75.3%) missing valuesMissing
휴업시작일자 has 93 (100.0%) missing valuesMissing
휴업종료일자 has 93 (100.0%) missing valuesMissing
재개업일자 has 93 (100.0%) missing valuesMissing
전화번호 has 7 (7.5%) missing valuesMissing
소재지면적 has 93 (100.0%) missing valuesMissing
소재지우편번호 has 51 (54.8%) missing valuesMissing
도로명주소 has 6 (6.5%) missing valuesMissing
도로명우편번호 has 27 (29.0%) missing valuesMissing
업태구분명 has 93 (100.0%) missing valuesMissing
사무소전화번호 has 93 (100.0%) missing valuesMissing
사업장전화번호 has 18 (19.4%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
사무소전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 08:00:18.571022
Analysis finished2024-05-11 08:00:19.067395
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Real number (ℝ)

Distinct30
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3222150.5
Minimum3000000
Maximum5730000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-05-11T17:00:19.128890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3026000
Q13080000
median3160000
Q33180000
95-th percentile3690000
Maximum5730000
Range2730000
Interquartile range (IQR)100000

Descriptive statistics

Standard deviation403678.33
Coefficient of variation (CV)0.12528227
Kurtosis28.682784
Mean3222150.5
Median Absolute Deviation (MAD)50000
Skewness5.1578239
Sum2.9966 × 108
Variance1.6295619 × 1011
MonotonicityNot monotonic
2024-05-11T17:00:19.261593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3170000 13
14.0%
3160000 9
 
9.7%
3030000 9
 
9.7%
3150000 8
 
8.6%
3230000 6
 
6.5%
3180000 6
 
6.5%
3140000 5
 
5.4%
3110000 5
 
5.4%
3040000 4
 
4.3%
3240000 3
 
3.2%
Other values (20) 25
26.9%
ValueCountFrequency (%)
3000000 2
 
2.2%
3010000 2
 
2.2%
3020000 1
 
1.1%
3030000 9
9.7%
3040000 4
4.3%
3050000 1
 
1.1%
3060000 1
 
1.1%
3070000 1
 
1.1%
3080000 3
 
3.2%
3100000 1
 
1.1%
ValueCountFrequency (%)
5730000 1
 
1.1%
5600000 1
 
1.1%
4070000 1
 
1.1%
4040000 1
 
1.1%
3900000 1
 
1.1%
3550000 1
 
1.1%
3340000 1
 
1.1%
3240000 3
3.2%
3230000 6
6.5%
3220000 1
 
1.1%

관리번호
Real number (ℝ)

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0090104 × 1018
Minimum1.988314 × 1018
Maximum2.024317 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-05-11T17:00:19.422731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.988314 × 1018
5-th percentile1.996311 × 1018
Q12.002318 × 1018
median2.008304 × 1018
Q32.015316 × 1018
95-th percentile2.0228696 × 1018
Maximum2.024317 × 1018
Range3.6003026 × 1016
Interquartile range (IQR)1.2998008 × 1016

Descriptive statistics

Standard deviation8.4445885 × 1015
Coefficient of variation (CV)0.0042033573
Kurtosis-0.53241194
Mean2.0090104 × 1018
Median Absolute Deviation (MAD)5.9890029 × 1015
Skewness0.036930411
Sum2.3705245 × 1018
Variance7.1311075 × 1031
MonotonicityNot monotonic
2024-05-11T17:00:19.574221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2023407023606500001 1
 
1.1%
2007316011706500002 1
 
1.1%
2000317009406500001 1
 
1.1%
2003317008306500001 1
 
1.1%
2003317008306500003 1
 
1.1%
2008317010506500001 1
 
1.1%
2015317017406500001 1
 
1.1%
2016317017406500001 1
 
1.1%
2019317019006500003 1
 
1.1%
2020317023506500003 1
 
1.1%
Other values (83) 83
89.2%
ValueCountFrequency (%)
1988314000006500001 1
1.1%
1991303010306512345 1
1.1%
1992311011106500001 1
1.1%
1992315010006500001 1
1.1%
1993323013106500003 1
1.1%
1998303010306500001 1
1.1%
1999300007606500001 1
1.1%
2000303010306500001 1
1.1%
2000314011406500002 1
1.1%
2000317009406500001 1
1.1%
ValueCountFrequency (%)
2024317025706500009 1
1.1%
2024317025706500004 1
1.1%
2023407023606500001 1
1.1%
2023390030906500002 1
1.1%
2023334014506500002 1
1.1%
2022560017006500001 1
1.1%
2022355012806500001 1
1.1%
2022321019506500001 1
1.1%
2022303010306500001 1
1.1%
2021303010306500002 1
1.1%

인허가일자
Date

Distinct92
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size876.0 B
Minimum1974-06-21 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T17:00:19.724769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:00:19.863461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
1
66 
3
26 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 66
71.0%
3 26
 
28.0%
2 1
 
1.1%

Length

2024-05-11T17:00:20.013854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:20.136950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 66
71.0%
3 26
 
28.0%
2 1
 
1.1%

영업상태명
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
영업/정상
66 
폐업
26 
휴업
 
1

Length

Max length5
Median length5
Mean length4.1290323
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 66
71.0%
폐업 26
 
28.0%
휴업 1
 
1.1%

Length

2024-05-11T17:00:20.265621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:20.384307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 66
71.0%
폐업 26
 
28.0%
휴업 1
 
1.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
01
65 
03
26 
02
 
1
BBBB
 
1

Length

Max length4
Median length2
Mean length2.0215054
Min length2

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
01 65
69.9%
03 26
 
28.0%
02 1
 
1.1%
BBBB 1
 
1.1%

Length

2024-05-11T17:00:20.507317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:20.610053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01 65
69.9%
03 26
 
28.0%
02 1
 
1.1%
bbbb 1
 
1.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
영업중
65 
폐업
26 
휴업
 
1
<NA>
 
1

Length

Max length4
Median length3
Mean length2.7204301
Min length2

Unique

Unique2 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 65
69.9%
폐업 26
 
28.0%
휴업 1
 
1.1%
<NA> 1
 
1.1%

Length

2024-05-11T17:00:20.722990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:20.837111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 65
69.9%
폐업 26
 
28.0%
휴업 1
 
1.1%
na 1
 
1.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing70
Missing (%)75.3%
Infinite0
Infinite (%)0.0%
Mean20123684
Minimum20051110
Maximum20210604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-05-11T17:00:20.940571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20051110
5-th percentile20061166
Q120080322
median20110516
Q320170523
95-th percentile20181093
Maximum20210604
Range159494
Interquartile range (IQR)90200.5

Descriptive statistics

Standard deviation48735.677
Coefficient of variation (CV)0.002421807
Kurtosis-1.45019
Mean20123684
Median Absolute Deviation (MAD)39905
Skewness0.20084476
Sum4.6284472 × 108
Variance2.3751662 × 109
MonotonicityNot monotonic
2024-05-11T17:00:21.078667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20121212 2
 
2.2%
20170517 1
 
1.1%
20110516 1
 
1.1%
20080423 1
 
1.1%
20080222 1
 
1.1%
20180201 1
 
1.1%
20170202 1
 
1.1%
20080109 1
 
1.1%
20060116 1
 
1.1%
20051110 1
 
1.1%
Other values (12) 12
 
12.9%
(Missing) 70
75.3%
ValueCountFrequency (%)
20051110 1
1.1%
20060116 1
1.1%
20070611 1
1.1%
20071224 1
1.1%
20080109 1
1.1%
20080222 1
1.1%
20080423 1
1.1%
20081013 1
1.1%
20100420 1
1.1%
20100714 1
1.1%
ValueCountFrequency (%)
20210604 1
1.1%
20181114 1
1.1%
20180904 1
1.1%
20180201 1
1.1%
20180126 1
1.1%
20170529 1
1.1%
20170517 1
1.1%
20170202 1
1.1%
20161202 1
1.1%
20121212 2
2.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

전화번호
Text

MISSING 

Distinct85
Distinct (%)98.8%
Missing7
Missing (%)7.5%
Memory size876.0 B
2024-05-11T17:00:21.354219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.104651
Min length7

Characters and Unicode

Total characters869
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)97.7%

Sample

1st row0261771317
2nd row032 551 1724
3rd row028680500
4th row02 18334903
5th row02 18334903
ValueCountFrequency (%)
02 35
 
22.6%
9804228 2
 
1.3%
18334903 2
 
1.3%
032 2
 
1.3%
1500 1
 
0.6%
8669405 1
 
0.6%
000220267590 1
 
0.6%
21085088 1
 
0.6%
0221085681 1
 
0.6%
9152 1
 
0.6%
Other values (108) 108
69.7%
2024-05-11T17:00:21.829122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143
16.5%
2 135
15.5%
99
11.4%
8 77
8.9%
6 66
7.6%
3 65
7.5%
4 65
7.5%
5 65
7.5%
9 54
 
6.2%
1 52
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 770
88.6%
Space Separator 99
 
11.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 143
18.6%
2 135
17.5%
8 77
10.0%
6 66
8.6%
3 65
8.4%
4 65
8.4%
5 65
8.4%
9 54
 
7.0%
1 52
 
6.8%
7 48
 
6.2%
Space Separator
ValueCountFrequency (%)
99
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 869
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 143
16.5%
2 135
15.5%
99
11.4%
8 77
8.9%
6 66
7.6%
3 65
7.5%
4 65
7.5%
5 65
7.5%
9 54
 
6.2%
1 52
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 869
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 143
16.5%
2 135
15.5%
99
11.4%
8 77
8.9%
6 66
7.6%
3 65
7.5%
4 65
7.5%
5 65
7.5%
9 54
 
6.2%
1 52
 
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

소재지우편번호
Text

MISSING 

Distinct39
Distinct (%)92.9%
Missing51
Missing (%)54.8%
Memory size876.0 B
2024-05-11T17:00:22.272852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0238095
Min length6

Characters and Unicode

Total characters253
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)88.1%

Sample

1st row150-041
2nd row110340
3rd row100879
4th row100195
5th row133813
ValueCountFrequency (%)
152050 3
 
7.1%
153863 2
 
4.8%
137130 1
 
2.4%
150042 1
 
2.4%
158833 1
 
2.4%
138879 1
 
2.4%
138858 1
 
2.4%
153023 1
 
2.4%
158822 1
 
2.4%
158835 1
 
2.4%
Other values (29) 29
69.0%
2024-05-11T17:00:22.631597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 57
22.5%
0 43
17.0%
3 37
14.6%
5 28
11.1%
8 28
11.1%
2 25
9.9%
4 13
 
5.1%
7 11
 
4.3%
9 6
 
2.4%
6 4
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
99.6%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 57
22.6%
0 43
17.1%
3 37
14.7%
5 28
11.1%
8 28
11.1%
2 25
9.9%
4 13
 
5.2%
7 11
 
4.4%
9 6
 
2.4%
6 4
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 253
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 57
22.5%
0 43
17.0%
3 37
14.6%
5 28
11.1%
8 28
11.1%
2 25
9.9%
4 13
 
5.1%
7 11
 
4.3%
9 6
 
2.4%
6 4
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 253
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 57
22.5%
0 43
17.0%
3 37
14.6%
5 28
11.1%
8 28
11.1%
2 25
9.9%
4 13
 
5.1%
7 11
 
4.3%
9 6
 
2.4%
6 4
 
1.6%

지번주소
Text

Distinct89
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size876.0 B
2024-05-11T17:00:22.896003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length27.16129
Min length19

Characters and Unicode

Total characters2526
Distinct characters197
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)91.4%

Sample

1st row서울특별시 강남구 역삼동 735-3 포스코타워 역삼
2nd row서울특별시 중구 을지로2가 203 파인에비뉴
3rd row서울특별시 금천구 가산동 327-29 알에스엠타워
4th row서울특별시 성동구 성수동1가 656-1110 서울숲 L-Tower 1405호
5th row서울특별시 성동구 성수동1가 656-1110 서울숲 L-Tower
ValueCountFrequency (%)
서울특별시 93
 
18.0%
금천구 13
 
2.5%
성동구 11
 
2.1%
가산동 11
 
2.1%
구로구 9
 
1.7%
강서구 8
 
1.5%
송파구 7
 
1.4%
구로동 7
 
1.4%
영등포구 6
 
1.2%
2호 6
 
1.2%
Other values (261) 347
67.0%
2024-05-11T17:00:23.320316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
432
 
17.1%
구 113
 
4.5%
동 112
 
4.4%
서 109
 
4.3%
울 98
 
3.9%
1 97
 
3.8%
시 95
 
3.8%
특 93
 
3.7%
별 93
 
3.7%
지 85
 
3.4%
Other values (187) 1199
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1539
60.9%
Decimal Number 491
 
19.4%
Space Separator 432
 
17.1%
Dash Punctuation 30
 
1.2%
Uppercase Letter 18
 
0.7%
Lowercase Letter 16
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 113
 
7.3%
동 112
 
7.3%
서 109
 
7.1%
울 98
 
6.4%
시 95
 
6.2%
특 93
 
6.0%
별 93
 
6.0%
지 85
 
5.5%
호 76
 
4.9%
번 75
 
4.9%
Other values (163) 590
38.3%
Decimal Number
ValueCountFrequency (%)
1 97
19.8%
3 62
12.6%
2 60
12.2%
6 56
11.4%
5 46
9.4%
0 43
8.8%
4 42
8.6%
7 34
 
6.9%
9 28
 
5.7%
8 23
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
T 6
33.3%
L 4
22.2%
G 2
 
11.1%
I 2
 
11.1%
D 1
 
5.6%
F 1
 
5.6%
J 1
 
5.6%
C 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
r 4
25.0%
e 4
25.0%
w 4
25.0%
o 4
25.0%
Space Separator
ValueCountFrequency (%)
432
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1539
60.9%
Common 953
37.7%
Latin 34
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 113
 
7.3%
동 112
 
7.3%
서 109
 
7.1%
울 98
 
6.4%
시 95
 
6.2%
특 93
 
6.0%
별 93
 
6.0%
지 85
 
5.5%
호 76
 
4.9%
번 75
 
4.9%
Other values (163) 590
38.3%
Common
ValueCountFrequency (%)
432
45.3%
1 97
 
10.2%
3 62
 
6.5%
2 60
 
6.3%
6 56
 
5.9%
5 46
 
4.8%
0 43
 
4.5%
4 42
 
4.4%
7 34
 
3.6%
- 30
 
3.1%
Other values (2) 51
 
5.4%
Latin
ValueCountFrequency (%)
T 6
17.6%
L 4
11.8%
r 4
11.8%
e 4
11.8%
w 4
11.8%
o 4
11.8%
G 2
 
5.9%
I 2
 
5.9%
D 1
 
2.9%
F 1
 
2.9%
Other values (2) 2
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1539
60.9%
ASCII 987
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
432
43.8%
1 97
 
9.8%
3 62
 
6.3%
2 60
 
6.1%
6 56
 
5.7%
5 46
 
4.7%
0 43
 
4.4%
4 42
 
4.3%
7 34
 
3.4%
- 30
 
3.0%
Other values (14) 85
 
8.6%
Hangul
ValueCountFrequency (%)
구 113
 
7.3%
동 112
 
7.3%
서 109
 
7.1%
울 98
 
6.4%
시 95
 
6.2%
특 93
 
6.0%
별 93
 
6.0%
지 85
 
5.5%
호 76
 
4.9%
번 75
 
4.9%
Other values (163) 590
38.3%

도로명주소
Text

MISSING 

Distinct83
Distinct (%)95.4%
Missing6
Missing (%)6.5%
Memory size876.0 B
2024-05-11T17:00:23.611642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length33.057471
Min length22

Characters and Unicode

Total characters2876
Distinct characters234
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)92.0%

Sample

1st row서울특별시 강남구 테헤란로 134, 포스코타워 역삼 14층 (역삼동)
2nd row서울특별시 중구 을지로 100, 파인에비뉴 B동 3층 (을지로2가)
3rd row서울특별시 금천구 가산디지털2로 30, 알에스엠타워 6층 (가산동)
4th row서울특별시 성동구 아차산로 17, 1405호 (성수동1가)
5th row서울특별시 성동구 아차산로 17, 서울숲 L-Tower 1405호 (성수동1가)
ValueCountFrequency (%)
서울특별시 87
 
16.0%
금천구 13
 
2.4%
성동구 10
 
1.8%
가산동 10
 
1.8%
구로구 9
 
1.7%
구로동 8
 
1.5%
강서구 8
 
1.5%
송파구 7
 
1.3%
영등포구 6
 
1.1%
양천구 5
 
0.9%
Other values (288) 382
70.1%
2024-05-11T17:00:24.039232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
459
 
16.0%
동 111
 
3.9%
1 108
 
3.8%
서 106
 
3.7%
구 106
 
3.7%
로 106
 
3.7%
시 92
 
3.2%
울 90
 
3.1%
특 87
 
3.0%
별 87
 
3.0%
Other values (224) 1524
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1671
58.1%
Decimal Number 461
 
16.0%
Space Separator 459
 
16.0%
Close Punctuation 87
 
3.0%
Open Punctuation 87
 
3.0%
Other Punctuation 58
 
2.0%
Dash Punctuation 22
 
0.8%
Uppercase Letter 18
 
0.6%
Lowercase Letter 12
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 111
 
6.6%
서 106
 
6.3%
구 106
 
6.3%
로 106
 
6.3%
시 92
 
5.5%
울 90
 
5.4%
특 87
 
5.2%
별 87
 
5.2%
가 46
 
2.8%
길 42
 
2.5%
Other values (196) 798
47.8%
Decimal Number
ValueCountFrequency (%)
1 108
23.4%
2 54
11.7%
3 52
11.3%
0 50
10.8%
4 44
9.5%
7 41
 
8.9%
5 38
 
8.2%
6 29
 
6.3%
9 29
 
6.3%
8 16
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
T 5
27.8%
L 3
16.7%
B 3
16.7%
G 2
 
11.1%
I 2
 
11.1%
D 1
 
5.6%
J 1
 
5.6%
C 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 3
25.0%
r 3
25.0%
w 3
25.0%
o 3
25.0%
Space Separator
ValueCountFrequency (%)
459
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Other Punctuation
ValueCountFrequency (%)
, 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1671
58.1%
Common 1175
40.9%
Latin 30
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 111
 
6.6%
서 106
 
6.3%
구 106
 
6.3%
로 106
 
6.3%
시 92
 
5.5%
울 90
 
5.4%
특 87
 
5.2%
별 87
 
5.2%
가 46
 
2.8%
길 42
 
2.5%
Other values (196) 798
47.8%
Common
ValueCountFrequency (%)
459
39.1%
1 108
 
9.2%
) 87
 
7.4%
( 87
 
7.4%
, 58
 
4.9%
2 54
 
4.6%
3 52
 
4.4%
0 50
 
4.3%
4 44
 
3.7%
7 41
 
3.5%
Other values (6) 135
 
11.5%
Latin
ValueCountFrequency (%)
T 5
16.7%
e 3
10.0%
r 3
10.0%
w 3
10.0%
o 3
10.0%
L 3
10.0%
B 3
10.0%
G 2
 
6.7%
I 2
 
6.7%
D 1
 
3.3%
Other values (2) 2
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1671
58.1%
ASCII 1205
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
459
38.1%
1 108
 
9.0%
) 87
 
7.2%
( 87
 
7.2%
, 58
 
4.8%
2 54
 
4.5%
3 52
 
4.3%
0 50
 
4.1%
4 44
 
3.7%
7 41
 
3.4%
Other values (18) 165
 
13.7%
Hangul
ValueCountFrequency (%)
동 111
 
6.6%
서 106
 
6.3%
구 106
 
6.3%
로 106
 
6.3%
시 92
 
5.5%
울 90
 
5.4%
특 87
 
5.2%
별 87
 
5.2%
가 46
 
2.8%
길 42
 
2.5%
Other values (196) 798
47.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)89.4%
Missing27
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean69442.697
Minimum1134
Maximum158835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-05-11T17:00:24.199096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1134
5-th percentile4429.5
Q15938
median8593
Q3138873.75
95-th percentile156827.75
Maximum158835
Range157701
Interquartile range (IQR)132935.75

Descriptive statistics

Standard deviation68527.399
Coefficient of variation (CV)0.98681937
Kurtosis-1.938958
Mean69442.697
Median Absolute Deviation (MAD)6323.5
Skewness0.19584552
Sum4583218
Variance4.6960044 × 109
MonotonicityNot monotonic
2024-05-11T17:00:24.377561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4789 4
 
4.3%
153803 2
 
2.2%
8278 2
 
2.2%
153863 2
 
2.2%
4756 2
 
2.2%
8506 1
 
1.1%
8500 1
 
1.1%
7057 1
 
1.1%
8594 1
 
1.1%
8595 1
 
1.1%
Other values (49) 49
52.7%
(Missing) 27
29.0%
ValueCountFrequency (%)
1134 1
 
1.1%
1138 1
 
1.1%
3401 1
 
1.1%
4389 1
 
1.1%
4551 1
 
1.1%
4554 1
 
1.1%
4756 2
2.2%
4789 4
4.3%
4808 1
 
1.1%
5699 1
 
1.1%
ValueCountFrequency (%)
158835 1
1.1%
158833 1
1.1%
158822 1
1.1%
157816 1
1.1%
153863 2
2.2%
153803 2
2.2%
153775 1
1.1%
152769 1
1.1%
152766 1
1.1%
152740 1
1.1%

사업장명
Text

Distinct89
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size876.0 B
2024-05-11T17:00:24.668379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.7096774
Min length3

Characters and Unicode

Total characters717
Distinct characters161
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

Unique87 ?
Unique (%)93.5%

Sample

1st row테슬라코리아 유한회사
2nd row(주)에버온
3rd row진우에이티에스(주)
4th row주식회사 스타코프
5th row주식회사 스타코프
ValueCountFrequency (%)
주식회사 9
 
7.8%
스타코프 4
 
3.4%
주)카스 3
 
2.6%
카스전자저울 3
 
2.6%
중부계기사 2
 
1.7%
주 2
 
1.7%
카스 2
 
1.7%
유한회사 1
 
0.9%
신한메카트로닉스(주 1
 
0.9%
삼인데이타시스템(주 1
 
0.9%
Other values (88) 88
75.9%
2024-05-11T17:00:25.116173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 45
 
6.3%
스 41
 
5.7%
) 37
 
5.2%
( 36
 
5.0%
23
 
3.2%
이 19
 
2.6%
사 18
 
2.5%
울 18
 
2.5%
기 18
 
2.5%
카 18
 
2.5%
Other values (151) 444
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 607
84.7%
Close Punctuation 37
 
5.2%
Open Punctuation 36
 
5.0%
Space Separator 23
 
3.2%
Lowercase Letter 7
 
1.0%
Uppercase Letter 6
 
0.8%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 45
 
7.4%
스 41
 
6.8%
이 19
 
3.1%
사 18
 
3.0%
울 18
 
3.0%
기 18
 
3.0%
카 18
 
3.0%
에 15
 
2.5%
계 14
 
2.3%
저 14
 
2.3%
Other values (134) 387
63.8%
Lowercase Letter
ValueCountFrequency (%)
m 1
14.3%
h 1
14.3%
c 1
14.3%
e 1
14.3%
n 1
14.3%
a 1
14.3%
u 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
P 1
16.7%
W 1
16.7%
M 1
16.7%
D 1
16.7%
T 1
16.7%
H 1
16.7%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 607
84.7%
Common 97
 
13.5%
Latin 13
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 45
 
7.4%
스 41
 
6.8%
이 19
 
3.1%
사 18
 
3.0%
울 18
 
3.0%
기 18
 
3.0%
카 18
 
3.0%
에 15
 
2.5%
계 14
 
2.3%
저 14
 
2.3%
Other values (134) 387
63.8%
Latin
ValueCountFrequency (%)
P 1
 
7.7%
W 1
 
7.7%
M 1
 
7.7%
D 1
 
7.7%
m 1
 
7.7%
h 1
 
7.7%
c 1
 
7.7%
e 1
 
7.7%
T 1
 
7.7%
n 1
 
7.7%
Other values (3) 3
23.1%
Common
ValueCountFrequency (%)
) 37
38.1%
( 36
37.1%
23
23.7%
& 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 607
84.7%
ASCII 110
 
15.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 45
 
7.4%
스 41
 
6.8%
이 19
 
3.1%
사 18
 
3.0%
울 18
 
3.0%
기 18
 
3.0%
카 18
 
3.0%
에 15
 
2.5%
계 14
 
2.3%
저 14
 
2.3%
Other values (134) 387
63.8%
ASCII
ValueCountFrequency (%)
) 37
33.6%
( 36
32.7%
23
20.9%
P 1
 
0.9%
& 1
 
0.9%
W 1
 
0.9%
M 1
 
0.9%
D 1
 
0.9%
m 1
 
0.9%
h 1
 
0.9%
Other values (7) 7
 
6.4%

최종수정일자
Date

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
Minimum2007-08-07 11:49:37
Maximum2024-04-30 14:16:31
2024-05-11T17:00:25.324981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:00:25.477989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
I
83 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 83
89.2%
U 10
 
10.8%

Length

2024-05-11T17:00:25.615544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:00:25.736599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 83
89.2%
u 10
 
10.8%

데이터갱신일자
Categorical

IMBALANCE 

Distinct15
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
2021-09-24 00:22:48.0
76 
2023-12-02 22:00:00.0
 
2
2022-01-27 00:22:39.0
 
2
2022-01-27 02:40:00.0
 
2
2022-12-02 23:02:00.0
 
1
Other values (10)
10 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique11 ?
Unique (%)11.8%

Sample

1st row2022-12-02 23:02:00.0
2nd row2022-12-09 00:02:00.0
3rd row2023-12-02 22:00:00.0
4th row2022-12-07 22:00:00.0
5th row2022-10-30 22:00:00.0

Common Values

ValueCountFrequency (%)
2021-09-24 00:22:48.0 76
81.7%
2023-12-02 22:00:00.0 2
 
2.2%
2022-01-27 00:22:39.0 2
 
2.2%
2022-01-27 02:40:00.0 2
 
2.2%
2022-12-02 23:02:00.0 1
 
1.1%
2022-12-09 00:02:00.0 1
 
1.1%
2022-12-07 22:00:00.0 1
 
1.1%
2022-10-30 22:00:00.0 1
 
1.1%
2023-12-01 23:07:00.0 1
 
1.1%
2022-02-25 02:40:00.0 1
 
1.1%
Other values (5) 5
 
5.4%

Length

2024-05-11T17:00:25.847817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2021-09-24 76
40.9%
00:22:48.0 76
40.9%
22:00:00.0 4
 
2.2%
2022-01-27 4
 
2.2%
02:40:00.0 4
 
2.2%
2023-12-02 2
 
1.1%
00:22:39.0 2
 
1.1%
00:02:00.0 2
 
1.1%
2022-03-19 1
 
0.5%
21:00:00.0 1
 
0.5%
Other values (14) 14
 
7.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

좌표정보(X)
Real number (ℝ)

Distinct84
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196629.55
Minimum183276.84
Maximum212120.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-05-11T17:00:25.973213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183276.84
5-th percentile184083.18
Q1189134.15
median193469.55
Q3203761.94
95-th percentile210829.02
Maximum212120.23
Range28843.384
Interquartile range (IQR)14627.788

Descriptive statistics

Standard deviation8650.9431
Coefficient of variation (CV)0.04399615
Kurtosis-1.34414
Mean196629.55
Median Absolute Deviation (MAD)7100.5516
Skewness0.23473463
Sum18286548
Variance74838817
MonotonicityNot monotonic
2024-05-11T17:00:26.118288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203994.658040173 4
 
4.3%
184083.182192783 2
 
2.2%
188840.515865617 2
 
2.2%
191226.287379467 2
 
2.2%
188968.189711073 2
 
2.2%
189134.15447044 2
 
2.2%
203761.942039782 2
 
2.2%
188890.674096939 1
 
1.1%
187619.596959162 1
 
1.1%
190594.904645635 1
 
1.1%
Other values (74) 74
79.6%
ValueCountFrequency (%)
183276.842572206 1
1.1%
183540.041418462 1
1.1%
183918.132597821 1
1.1%
183973.632011884 1
1.1%
184083.182192783 2
2.2%
184597.4496425 1
1.1%
185925.07322188 1
1.1%
185998.932286493 1
1.1%
186369.003164852 1
1.1%
187619.596959162 1
1.1%
ValueCountFrequency (%)
212120.226826022 1
1.1%
211795.584073361 1
1.1%
211088.117066794 1
1.1%
211039.055325084 1
1.1%
210902.353907359 1
1.1%
210780.126180232 1
1.1%
210387.253510664 1
1.1%
210289.0 1
1.1%
210222.075767552 1
1.1%
209790.959909032 1
1.1%

좌표정보(Y)
Real number (ℝ)

Distinct84
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447861.96
Minimum437914.06
Maximum461720.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-05-11T17:00:26.264407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437914.06
5-th percentile440791.58
Q1443481.21
median448037.71
Q3451040.43
95-th percentile457103.27
Maximum461720.16
Range23806.101
Interquartile range (IQR)7559.2205

Descriptive statistics

Standard deviation5178.9412
Coefficient of variation (CV)0.0115637
Kurtosis-0.041014396
Mean447861.96
Median Absolute Deviation (MAD)3730.9419
Skewness0.44535929
Sum41651163
Variance26821432
MonotonicityNot monotonic
2024-05-11T17:00:26.421969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449552.049448345 4
 
4.3%
449387.013016274 2
 
2.2%
444306.771104527 2
 
2.2%
437914.06299827 2
 
2.2%
442119.780901928 2
 
2.2%
444274.729874348 2
 
2.2%
451636.292363248 2
 
2.2%
444722.181249086 1
 
1.1%
444186.923109714 1
 
1.1%
442261.654499191 1
 
1.1%
Other values (74) 74
79.6%
ValueCountFrequency (%)
437914.06299827 2
2.2%
440074.205886207 1
1.1%
440363.954453659 1
1.1%
440454.568265703 1
1.1%
441016.253713253 1
1.1%
441142.645065053 1
1.1%
441629.361414684 1
1.1%
441730.920486073 1
1.1%
441866.854179323 1
1.1%
441958.334400683 1
1.1%
ValueCountFrequency (%)
461720.16366097 1
1.1%
461491.556262978 1
1.1%
459121.609484225 1
1.1%
459070.360829272 1
1.1%
457334.129148645 1
1.1%
456949.35802282 1
1.1%
456357.119535625 1
1.1%
456115.589100151 1
1.1%
455312.717002636 1
1.1%
454220.180650108 1
1.1%

사무소전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing93
Missing (%)100.0%
Memory size969.0 B

사업장전화번호
Text

MISSING 

Distinct75
Distinct (%)100.0%
Missing18
Missing (%)19.4%
Memory size876.0 B
2024-05-11T17:00:26.708349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.9733333
Min length7

Characters and Unicode

Total characters748
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st row02 747 0505
2nd row02 742 0270
3rd row02 22323456
4th row02 22750120
5th row02 798 2000
ValueCountFrequency (%)
02 30
 
22.6%
9804228 2
 
1.5%
0220692858 1
 
0.8%
0232853710 1
 
0.8%
21085088 1
 
0.8%
8586870 1
 
0.8%
9152 1
 
0.8%
02865 1
 
0.8%
0933 1
 
0.8%
856 1
 
0.8%
Other values (93) 93
69.9%
2024-05-11T17:00:27.171636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 123
16.4%
2 122
16.3%
83
11.1%
8 70
9.4%
6 61
8.2%
4 59
7.9%
5 55
7.4%
3 52
7.0%
9 43
 
5.7%
7 40
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 665
88.9%
Space Separator 83
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 123
18.5%
2 122
18.3%
8 70
10.5%
6 61
9.2%
4 59
8.9%
5 55
8.3%
3 52
7.8%
9 43
 
6.5%
7 40
 
6.0%
1 40
 
6.0%
Space Separator
ValueCountFrequency (%)
83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 748
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 123
16.4%
2 122
16.3%
83
11.1%
8 70
9.4%
6 61
8.2%
4 59
7.9%
5 55
7.4%
3 52
7.0%
9 43
 
5.7%
7 40
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 748
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 123
16.4%
2 122
16.3%
83
11.1%
8 70
9.4%
6 61
8.2%
4 59
7.9%
5 55
7.4%
3 52
7.0%
9 43
 
5.7%
7 40
 
5.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무소전화번호사업장전화번호
0407000020234070236065000012023-03-02<NA>1영업/정상01영업중<NA><NA><NA><NA>0261771317<NA><NA>서울특별시 강남구 역삼동 735-3 포스코타워 역삼서울특별시 강남구 테헤란로 134, 포스코타워 역삼 14층 (역삼동)6235테슬라코리아 유한회사2023-03-10 09:42:39U2022-12-02 23:02:00.0<NA>202900.590297444136.728684<NA><NA>
1355000020223550128065000012022-10-05<NA>1영업/정상01영업중<NA><NA><NA><NA>032 551 1724<NA><NA>서울특별시 중구 을지로2가 203 파인에비뉴서울특별시 중구 을지로 100, 파인에비뉴 B동 3층 (을지로2가)4551(주)에버온2023-08-31 10:06:47I2022-12-09 00:02:00.0<NA>198921.241301451495.985361<NA><NA>
2560000020225600170065000012022-05-30<NA>1영업/정상01영업중<NA><NA><NA><NA>028680500<NA><NA>서울특별시 금천구 가산동 327-29 알에스엠타워서울특별시 금천구 가산디지털2로 30, 알에스엠타워 6층 (가산동)8592진우에이티에스(주)2024-03-18 15:40:55U2023-12-02 22:00:00.0<NA>189637.456694441016.253713<NA><NA>
3390000020233900309065000022023-08-17<NA>1영업/정상01영업중<NA><NA><NA><NA>02 18334903<NA><NA>서울특별시 성동구 성수동1가 656-1110 서울숲 L-Tower 1405호서울특별시 성동구 아차산로 17, 1405호 (성수동1가)4789주식회사 스타코프2023-08-18 15:28:56I2022-12-07 22:00:00.0<NA>203994.65804449552.049448<NA><NA>
4334000020233340145065000022023-10-10<NA>1영업/정상01영업중<NA><NA><NA><NA>02 18334903<NA><NA>서울특별시 성동구 성수동1가 656-1110 서울숲 L-Tower서울특별시 성동구 아차산로 17, 서울숲 L-Tower 1405호 (성수동1가)4789주식회사 스타코프2023-10-18 10:05:44U2022-10-30 22:00:00.0<NA>203994.65804449552.049448<NA><NA>
5318000020003180076065000021987-04-13<NA>1영업/정상01영업중<NA><NA><NA><NA>26755999<NA>150-041서울특별시 영등포구 당산동1가 220번지서울특별시 영등포구 영신로47길 14-1 (당산동1가)<NA>대흥정밀계기산업2024-03-18 10:27:27U2023-12-02 22:00:00.0<NA>191100.012108446779.994245<NA><NA>
6317000020243170257065000042024-02-15<NA>1영업/정상01영업중<NA><NA><NA><NA>02 855 2350<NA><NA>서울특별시 금천구 가산동 481-11 대륭테크노타운8차서울특별시 금천구 가마산로 96, 대륭테크노타운8차 1402호 (가산동)8501주식회사 에이치케이에너지2024-02-15 18:35:54I2023-12-01 23:07:00.0<NA>189089.927765442569.300676<NA><NA>
73000000201130001290650000120111014<NA>1영업/정상01영업중<NA><NA><NA><NA>02 747 0505<NA>110340서울특별시 종로구 익선동 55번지 현대뜨레비앙 142호서울특별시 종로구 돈화문로11가길 59 (익선동, 현대뜨레비앙 142호)110340(주) 카스콤2011-10-30 16:17:09I2021-09-24 00:22:48.0<NA>199052.164235452535.569962<NA>02 747 0505
83000000199930000760650000120040320<NA>1영업/정상01영업중<NA><NA><NA><NA>02 742 0270<NA><NA>서울특별시 종로구 봉익동 116번지<NA><NA>한성계기2021-07-07 17:42:49I2021-09-24 00:22:48.0<NA>199327.750078452191.5542<NA>02 742 0270
93010000201330101300650000320031010<NA>3폐업03폐업20170529<NA><NA><NA>02 22323456<NA>100879서울특별시 중구 흥인동 97번지 2호서울특별시 중구 퇴계로 407 (흥인동)100879반도계기2017-05-29 15:29:03I2022-01-27 00:22:39.0<NA>201417.709265451478.37564<NA>02 22323456
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)사무소전화번호사업장전화번호
833230000201132301980650000220111021<NA>1영업/정상01영업중<NA><NA><NA><NA>4445606<NA>138040서울특별시 송파구 풍납동 246번지 1호서울특별시 송파구 풍성로24길 37 (풍납동)138041카스유통2011-10-30 17:46:15I2021-09-24 00:22:48.0<NA>210222.075768447671.217366<NA>4445606
843230000200232300780650000120020318<NA>1영업/정상01영업중<NA><NA><NA><NA>02 409 8841<NA>138858서울특별시 송파구 오금동 122번지 11호서울특별시 송파구 마천로21길 9-6 (오금동)138858카스전자저울 강남지점2012-02-02 16:58:27I2021-09-24 00:22:48.0<NA>212120.226826444743.025185<NA>02 409 8841
853230000199332301310650000319931124<NA>1영업/정상01영업중<NA><NA><NA><NA>02 403 3172<NA><NA>서울특별시 송파구 가락동 600번지 가락몰 판매동 청과부류 지하1층 G063-1호서울특별시 송파구 양재대로 지하 932, 지하1층 G063-1호 (가락동, 가락몰 판매동 청과부류)5699금성저울2017-03-14 18:00:33I2021-09-24 00:22:48.0<NA>209790.959909443481.212174<NA>02 403 3172
863240000200832401390650000120080709<NA>1영업/정상01영업중<NA><NA><NA><NA>22253500<NA>134030서울특별시 강동구 성내동 440번지 1호서울특별시 강동구 양재대로 1315 (성내동)134844(주) 카스 서울직매장2016-05-17 09:35:25I2021-09-24 00:22:48.0<NA>211795.584073446854.594509<NA>22253500
873240000200432401390650000120040820<NA>1영업/정상01영업중<NA><NA><NA><NA>4719656<NA>134022서울특별시 강동구 천호동 321번지 33호 103호서울특별시 강동구 천중로5길 24 (천호동,103호)<NA>태성엔지니어링2014-02-01 11:15:17I2021-09-24 00:22:48.0<NA>210902.353907449373.18428<NA>4719656
883240000200232400730650000120020516<NA>3폐업03폐업20110516<NA><NA><NA>4770663<NA><NA>서울특별시 강동구 성내동 136번지 6 호서울특별시 강동구 풍성로35길 60 (성내동)<NA>(주)대한플렌트2011-05-16 11:01:34I2021-09-24 00:22:48.0<NA>211039.055325448037.71297<NA>4770663
895730000202057101830650000620201008<NA>1영업/정상01영업중<NA><NA><NA><NA>043 241 9170<NA><NA>서울특별시 중구 충무로3가 60-1 남산스퀘어서울특별시 중구 퇴계로 173, 남산스퀘어 10층 (충무로3가)4554자이에스앤디(주)2020-10-12 09:04:45I2021-12-06 22:02:00.0<NA>199145.324201451040.432662<NA><NA>
903080000200930800920650000120090706<NA>1영업/정상01영업중<NA><NA><NA><NA>02 987 8007<NA><NA>서울특별시 강북구 번동 229-10 강북전자공단서울특별시 강북구 덕릉로40길 74, 강북전자공단 201호 (번동)1138(주)티엠티엔지니어링2022-08-26 14:43:39U2021-12-07 22:08:00.0<NA>202886.755875459070.360829<NA><NA>
91404000020184040199065000022018-10-11<NA>1영업/정상01영업중<NA><NA><NA><NA>0234019599<NA><NA>서울특별시 송파구 문정동 70-9 에이스빌딩 3층서울특별시 송파구 새말로 109, 에이스빌딩 3층 (문정동)5808하이텍앤솔 주식회사2023-07-28 11:07:01U2022-12-06 21:00:00.0<NA>211088.117067442328.200332<NA><NA>
92317000020243170257065000092024-04-30<NA>1영업/정상01영업중<NA><NA><NA><NA>02 69513631<NA><NA>서울특별시 금천구 가산동 554-2서울특별시 금천구 가산디지털2로 43-14, 712~715호 (가산동)8588주식회사 넥스톤2024-04-30 14:16:31I2023-12-05 00:02:00.0<NA>189450.606005441142.645065<NA><NA>