Overview

Dataset statistics

Number of variables27
Number of observations2581
Missing cells21811
Missing cells (%)31.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory569.8 KiB
Average record size in memory226.1 B

Variable types

Categorical7
Numeric4
DateTime7
Unsupported3
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),지정일자,민원종류명
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-19902/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 2240 (86.8%) missing valuesMissing
폐업일자 has 910 (35.3%) missing valuesMissing
휴업시작일자 has 2514 (97.4%) missing valuesMissing
휴업종료일자 has 2516 (97.5%) missing valuesMissing
재개업일자 has 2581 (100.0%) missing valuesMissing
전화번호 has 1154 (44.7%) missing valuesMissing
소재지면적 has 2581 (100.0%) missing valuesMissing
소재지우편번호 has 1757 (68.1%) missing valuesMissing
지번주소 has 40 (1.5%) missing valuesMissing
도로명주소 has 324 (12.6%) missing valuesMissing
도로명우편번호 has 1626 (63.0%) missing valuesMissing
업태구분명 has 2581 (100.0%) missing valuesMissing
좌표정보(X) has 192 (7.4%) missing valuesMissing
좌표정보(Y) has 192 (7.4%) missing valuesMissing
지정일자 has 603 (23.4%) missing valuesMissing
좌표정보(Y) is highly skewed (γ1 = -46.75866659)Skewed
관리번호 has unique valuesUnique
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

Reproduction

Analysis started2024-05-11 02:27:06.800908
Analysis finished2024-05-11 02:27:09.025651
Duration2.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
3000000
2581 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 2581
100.0%

Length

2024-05-11T02:27:09.238555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:27:09.557267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 2581
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct2581
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0073585 × 1018
Minimum1.9653 × 1018
Maximum2.0243 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-05-11T02:27:09.948032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.9653 × 1018
5-th percentile1.9923 × 1018
Q12.0023 × 1018
median2.0083 × 1018
Q32.0143 × 1018
95-th percentile2.0203 × 1018
Maximum2.0243 × 1018
Range5.9000017 × 1016
Interquartile range (IQR)1.2000009 × 1016

Descriptive statistics

Standard deviation9.3005448 × 1015
Coefficient of variation (CV)0.0046332256
Kurtosis1.5196533
Mean2.0073585 × 1018
Median Absolute Deviation (MAD)6.0000053 × 1015
Skewness-0.87240552
Sum-2.5427537 × 1018
Variance8.6500134 × 1031
MonotonicityStrictly increasing
2024-05-11T02:27:10.435978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1965300007605600001 1
 
< 0.1%
2012300012905600003 1
 
< 0.1%
2012300012905600025 1
 
< 0.1%
2012300012905600026 1
 
< 0.1%
2012300012905600027 1
 
< 0.1%
2012300012905600028 1
 
< 0.1%
2012300012905600029 1
 
< 0.1%
2012300012905600030 1
 
< 0.1%
2012300012905600031 1
 
< 0.1%
2012300012905600032 1
 
< 0.1%
Other values (2571) 2571
99.6%
ValueCountFrequency (%)
1965300007605600001 1
< 0.1%
1973300007605600001 1
< 0.1%
1974300007605600001 1
< 0.1%
1974300007605600003 1
< 0.1%
1974300007605600006 1
< 0.1%
1974300007605600007 1
< 0.1%
1974300007605600011 1
< 0.1%
1974300007605600018 1
< 0.1%
1974300007605600021 1
< 0.1%
1974300007605600028 1
< 0.1%
ValueCountFrequency (%)
2024300024505600014 1
< 0.1%
2024300024505600013 1
< 0.1%
2024300024505600012 1
< 0.1%
2024300024505600011 1
< 0.1%
2024300024505600010 1
< 0.1%
2024300024505600009 1
< 0.1%
2024300024505600008 1
< 0.1%
2024300024505600007 1
< 0.1%
2024300024505600006 1
< 0.1%
2024300024505600005 1
< 0.1%

인허가일자
Date

Distinct1857
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
Minimum1970-01-28 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T02:27:10.815267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:27:11.231813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct96
Distinct (%)28.2%
Missing2240
Missing (%)86.8%
Memory size20.3 KiB
Minimum2001-02-07 00:00:00
Maximum2023-12-06 00:00:00
2024-05-11T02:27:11.851821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:27:12.744837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태코드
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
3
1671 
1
538 
4
368 
2
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row4
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 1671
64.7%
1 538
 
20.8%
4 368
 
14.3%
2 4
 
0.2%

Length

2024-05-11T02:27:13.262101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:27:13.717248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1671
64.7%
1 538
 
20.8%
4 368
 
14.3%
2 4
 
0.2%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
폐업
1671 
영업/정상
538 
취소/말소/만료/정지/중지
368 
휴업
 
4

Length

Max length14
Median length2
Mean length4.3363038
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row취소/말소/만료/정지/중지
4th row영업/정상
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 1671
64.7%
영업/정상 538
 
20.8%
취소/말소/만료/정지/중지 368
 
14.3%
휴업 4
 
0.2%

Length

2024-05-11T02:27:14.265214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:27:14.633048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1671
64.7%
영업/정상 538
 
20.8%
취소/말소/만료/정지/중지 368
 
14.3%
휴업 4
 
0.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2
1671 
0
538 
3
269 
5
 
99
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row3
4th row0
5th row2

Common Values

ValueCountFrequency (%)
2 1671
64.7%
0 538
 
20.8%
3 269
 
10.4%
5 99
 
3.8%
1 4
 
0.2%

Length

2024-05-11T02:27:15.359789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:27:16.174787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1671
64.7%
0 538
 
20.8%
3 269
 
10.4%
5 99
 
3.8%
1 4
 
0.2%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
폐업처리
1671 
정상영업
538 
직권취소
269 
지정취소
 
99
휴업처리
 
4

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업처리
2nd row폐업처리
3rd row직권취소
4th row정상영업
5th row폐업처리

Common Values

ValueCountFrequency (%)
폐업처리 1671
64.7%
정상영업 538
 
20.8%
직권취소 269
 
10.4%
지정취소 99
 
3.8%
휴업처리 4
 
0.2%

Length

2024-05-11T02:27:16.502359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:27:16.856988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 1671
64.7%
정상영업 538
 
20.8%
직권취소 269
 
10.4%
지정취소 99
 
3.8%
휴업처리 4
 
0.2%

폐업일자
Date

MISSING 

Distinct1355
Distinct (%)81.1%
Missing910
Missing (%)35.3%
Memory size20.3 KiB
Minimum2001-01-02 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T02:27:17.311924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:27:17.889812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct66
Distinct (%)98.5%
Missing2514
Missing (%)97.4%
Memory size20.3 KiB
Minimum2001-02-05 00:00:00
Maximum2023-09-18 00:00:00
2024-05-11T02:27:18.329603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:27:18.944066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct63
Distinct (%)96.9%
Missing2516
Missing (%)97.5%
Memory size20.3 KiB
Minimum2001-05-31 00:00:00
Maximum2025-12-31 00:00:00
2024-05-11T02:27:19.500398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:27:20.013399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2581
Missing (%)100.0%
Memory size22.8 KiB

전화번호
Text

MISSING 

Distinct1258
Distinct (%)88.2%
Missing1154
Missing (%)44.7%
Memory size20.3 KiB
2024-05-11T02:27:21.031687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length9.7498248
Min length1

Characters and Unicode

Total characters13913
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1172 ?
Unique (%)82.1%

Sample

1st row02 7363485
2nd row02 7621793
3rd row02 1000000
4th row02 1000000
5th row02 7329865
ValueCountFrequency (%)
02 632
28.9%
1000000 25
 
1.1%
11
 
0.5%
02-2225-6392 8
 
0.4%
1577-0711 5
 
0.2%
02-535-6103 4
 
0.2%
0211111111 4
 
0.2%
0200000000 4
 
0.2%
027446 3
 
0.1%
027633 3
 
0.1%
Other values (1350) 1489
68.1%
2024-05-11T02:27:22.460534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2555
18.4%
0 2186
15.7%
7 1751
12.6%
3 1275
9.2%
6 967
 
7.0%
4 925
 
6.6%
5 813
 
5.8%
762
 
5.5%
1 734
 
5.3%
9 680
 
4.9%
Other values (3) 1265
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12520
90.0%
Space Separator 762
 
5.5%
Dash Punctuation 612
 
4.4%
Close Punctuation 19
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2555
20.4%
0 2186
17.5%
7 1751
14.0%
3 1275
10.2%
6 967
 
7.7%
4 925
 
7.4%
5 813
 
6.5%
1 734
 
5.9%
9 680
 
5.4%
8 634
 
5.1%
Space Separator
ValueCountFrequency (%)
762
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 612
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13913
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2555
18.4%
0 2186
15.7%
7 1751
12.6%
3 1275
9.2%
6 967
 
7.0%
4 925
 
6.6%
5 813
 
5.8%
762
 
5.5%
1 734
 
5.3%
9 680
 
4.9%
Other values (3) 1265
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2555
18.4%
0 2186
15.7%
7 1751
12.6%
3 1275
9.2%
6 967
 
7.0%
4 925
 
6.6%
5 813
 
5.8%
762
 
5.5%
1 734
 
5.3%
9 680
 
4.9%
Other values (3) 1265
9.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2581
Missing (%)100.0%
Memory size22.8 KiB

소재지우편번호
Text

MISSING 

Distinct184
Distinct (%)22.3%
Missing1757
Missing (%)68.1%
Memory size20.3 KiB
2024-05-11T02:27:23.349025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0206311
Min length3

Characters and Unicode

Total characters4961
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)6.1%

Sample

1st row110847
2nd row110121
3rd row110784
4th row110834
5th row110834
ValueCountFrequency (%)
110111 30
 
3.6%
110126 28
 
3.4%
110540 19
 
2.3%
110123 17
 
2.1%
110130 15
 
1.8%
110420 15
 
1.8%
110121 13
 
1.6%
110122 13
 
1.6%
110340 13
 
1.6%
110550 13
 
1.6%
Other values (173) 648
78.6%
2024-05-11T02:27:24.778886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2038
41.1%
0 1334
26.9%
2 309
 
6.2%
4 261
 
5.3%
5 243
 
4.9%
8 236
 
4.8%
3 213
 
4.3%
7 160
 
3.2%
6 104
 
2.1%
9 40
 
0.8%
Other values (2) 23
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4938
99.5%
Dash Punctuation 20
 
0.4%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2038
41.3%
0 1334
27.0%
2 309
 
6.3%
4 261
 
5.3%
5 243
 
4.9%
8 236
 
4.8%
3 213
 
4.3%
7 160
 
3.2%
6 104
 
2.1%
9 40
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4961
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2038
41.1%
0 1334
26.9%
2 309
 
6.2%
4 261
 
5.3%
5 243
 
4.9%
8 236
 
4.8%
3 213
 
4.3%
7 160
 
3.2%
6 104
 
2.1%
9 40
 
0.8%
Other values (2) 23
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4961
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2038
41.1%
0 1334
26.9%
2 309
 
6.2%
4 261
 
5.3%
5 243
 
4.9%
8 236
 
4.8%
3 213
 
4.3%
7 160
 
3.2%
6 104
 
2.1%
9 40
 
0.8%
Other values (2) 23
 
0.5%

지번주소
Text

MISSING 

Distinct2254
Distinct (%)88.7%
Missing40
Missing (%)1.5%
Memory size20.3 KiB
2024-05-11T02:27:25.693934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43
Mean length24.914994
Min length13

Characters and Unicode

Total characters63309
Distinct characters370
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

Unique2022 ?
Unique (%)79.6%

Sample

1st row서울특별시 종로구 누상동 16번지 4 호
2nd row서울특별시 종로구 권농동 183번지 6호
3rd row서울특별시 종로구 필운동 130번지 12 호
4th row서울특별시 종로구 내자동 4번지
5th row서울특별시 종로구 평창동 213번지 1호
ValueCountFrequency (%)
서울특별시 2540
 
18.5%
종로구 2536
 
18.4%
1호 343
 
2.5%
1층 332
 
2.4%
호 249
 
1.8%
창신동 207
 
1.5%
2호 190
 
1.4%
숭인동 169
 
1.2%
1번지 95
 
0.7%
종로6가 88
 
0.6%
Other values (1673) 7005
50.9%
2024-05-11T02:27:26.757526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12672
20.0%
1 3031
 
4.8%
로 3016
 
4.8%
종 2961
 
4.7%
서 2621
 
4.1%
구 2597
 
4.1%
시 2586
 
4.1%
울 2556
 
4.0%
특 2548
 
4.0%
별 2545
 
4.0%
Other values (360) 26176
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39550
62.5%
Space Separator 12672
 
20.0%
Decimal Number 10716
 
16.9%
Dash Punctuation 162
 
0.3%
Uppercase Letter 107
 
0.2%
Other Punctuation 28
 
< 0.1%
Open Punctuation 25
 
< 0.1%
Close Punctuation 24
 
< 0.1%
Lowercase Letter 22
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 3016
 
7.6%
종 2961
 
7.5%
서 2621
 
6.6%
구 2597
 
6.6%
시 2586
 
6.5%
울 2556
 
6.5%
특 2548
 
6.4%
별 2545
 
6.4%
지 2344
 
5.9%
호 2242
 
5.7%
Other values (312) 13534
34.2%
Uppercase Letter
ValueCountFrequency (%)
B 38
35.5%
D 13
 
12.1%
A 10
 
9.3%
K 8
 
7.5%
S 6
 
5.6%
C 5
 
4.7%
X 5
 
4.7%
T 5
 
4.7%
G 4
 
3.7%
L 4
 
3.7%
Other values (5) 9
 
8.4%
Lowercase Letter
ValueCountFrequency (%)
a 3
13.6%
o 2
 
9.1%
r 2
 
9.1%
e 2
 
9.1%
w 2
 
9.1%
b 2
 
9.1%
l 1
 
4.5%
z 1
 
4.5%
s 1
 
4.5%
i 1
 
4.5%
Other values (5) 5
22.7%
Decimal Number
ValueCountFrequency (%)
1 3031
28.3%
2 1593
14.9%
3 1112
 
10.4%
4 850
 
7.9%
0 809
 
7.5%
5 805
 
7.5%
6 786
 
7.3%
8 686
 
6.4%
7 562
 
5.2%
9 482
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 23
82.1%
. 4
 
14.3%
/ 1
 
3.6%
Space Separator
ValueCountFrequency (%)
12672
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 162
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39550
62.5%
Common 23630
37.3%
Latin 129
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 3016
 
7.6%
종 2961
 
7.5%
서 2621
 
6.6%
구 2597
 
6.6%
시 2586
 
6.5%
울 2556
 
6.5%
특 2548
 
6.4%
별 2545
 
6.4%
지 2344
 
5.9%
호 2242
 
5.7%
Other values (312) 13534
34.2%
Latin
ValueCountFrequency (%)
B 38
29.5%
D 13
 
10.1%
A 10
 
7.8%
K 8
 
6.2%
S 6
 
4.7%
C 5
 
3.9%
X 5
 
3.9%
T 5
 
3.9%
G 4
 
3.1%
L 4
 
3.1%
Other values (20) 31
24.0%
Common
ValueCountFrequency (%)
12672
53.6%
1 3031
 
12.8%
2 1593
 
6.7%
3 1112
 
4.7%
4 850
 
3.6%
0 809
 
3.4%
5 805
 
3.4%
6 786
 
3.3%
8 686
 
2.9%
7 562
 
2.4%
Other values (8) 724
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39550
62.5%
ASCII 23759
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12672
53.3%
1 3031
 
12.8%
2 1593
 
6.7%
3 1112
 
4.7%
4 850
 
3.6%
0 809
 
3.4%
5 805
 
3.4%
6 786
 
3.3%
8 686
 
2.9%
7 562
 
2.4%
Other values (38) 853
 
3.6%
Hangul
ValueCountFrequency (%)
로 3016
 
7.6%
종 2961
 
7.5%
서 2621
 
6.6%
구 2597
 
6.6%
시 2586
 
6.5%
울 2556
 
6.5%
특 2548
 
6.4%
별 2545
 
6.4%
지 2344
 
5.9%
호 2242
 
5.7%
Other values (312) 13534
34.2%

도로명주소
Text

MISSING 

Distinct1889
Distinct (%)83.7%
Missing324
Missing (%)12.6%
Memory size20.3 KiB
2024-05-11T02:27:27.465517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length29.224191
Min length16

Characters and Unicode

Total characters65959
Distinct characters378
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

Unique1607 ?
Unique (%)71.2%

Sample

1st row서울특별시 종로구 율곡로10길 59 (권농동)
2nd row서울특별시 종로구 자하문로1길 9 (내자동)
3rd row서울특별시 종로구 평창문화로 72-6 (평창동)
4th row서울특별시 종로구 통일로12길 6 (행촌동)
5th row서울특별시 종로구 삼일대로 428 (낙원동,낙원지하상가 186)
ValueCountFrequency (%)
서울특별시 2256
 
17.2%
종로구 2249
 
17.2%
1층 502
 
3.8%
종로 278
 
2.1%
창신동 166
 
1.3%
숭인동 149
 
1.1%
청계천로 100
 
0.8%
지하1층 88
 
0.7%
율곡로 87
 
0.7%
101호 70
 
0.5%
Other values (1801) 7166
54.7%
2024-05-11T02:27:28.698759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10875
 
16.5%
로 4557
 
6.9%
종 3131
 
4.7%
1 2806
 
4.3%
서 2340
 
3.5%
시 2306
 
3.5%
구 2299
 
3.5%
울 2272
 
3.4%
( 2266
 
3.4%
) 2266
 
3.4%
Other values (368) 30841
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39061
59.2%
Space Separator 10875
 
16.5%
Decimal Number 9417
 
14.3%
Open Punctuation 2266
 
3.4%
Close Punctuation 2266
 
3.4%
Other Punctuation 1567
 
2.4%
Dash Punctuation 349
 
0.5%
Uppercase Letter 122
 
0.2%
Lowercase Letter 29
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 4557
 
11.7%
종 3131
 
8.0%
서 2340
 
6.0%
시 2306
 
5.9%
구 2299
 
5.9%
울 2272
 
5.8%
특 2263
 
5.8%
별 2261
 
5.8%
동 2130
 
5.5%
길 1104
 
2.8%
Other values (321) 14398
36.9%
Lowercase Letter
ValueCountFrequency (%)
a 4
13.8%
e 4
13.8%
r 3
10.3%
o 3
10.3%
w 3
10.3%
t 2
 
6.9%
s 2
 
6.9%
i 1
 
3.4%
k 1
 
3.4%
b 1
 
3.4%
Other values (5) 5
17.2%
Uppercase Letter
ValueCountFrequency (%)
B 51
41.8%
D 19
 
15.6%
A 13
 
10.7%
K 9
 
7.4%
T 7
 
5.7%
C 6
 
4.9%
S 5
 
4.1%
G 3
 
2.5%
P 2
 
1.6%
M 2
 
1.6%
Other values (4) 5
 
4.1%
Decimal Number
ValueCountFrequency (%)
1 2806
29.8%
2 1379
14.6%
3 1096
 
11.6%
5 783
 
8.3%
4 730
 
7.8%
0 682
 
7.2%
6 648
 
6.9%
8 448
 
4.8%
9 433
 
4.6%
7 412
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 1561
99.6%
. 4
 
0.3%
/ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
10875
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2266
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 349
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39061
59.2%
Common 26747
40.6%
Latin 151
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 4557
 
11.7%
종 3131
 
8.0%
서 2340
 
6.0%
시 2306
 
5.9%
구 2299
 
5.9%
울 2272
 
5.8%
특 2263
 
5.8%
별 2261
 
5.8%
동 2130
 
5.5%
길 1104
 
2.8%
Other values (321) 14398
36.9%
Latin
ValueCountFrequency (%)
B 51
33.8%
D 19
 
12.6%
A 13
 
8.6%
K 9
 
6.0%
T 7
 
4.6%
C 6
 
4.0%
S 5
 
3.3%
a 4
 
2.6%
e 4
 
2.6%
G 3
 
2.0%
Other values (19) 30
19.9%
Common
ValueCountFrequency (%)
10875
40.7%
1 2806
 
10.5%
( 2266
 
8.5%
) 2266
 
8.5%
, 1561
 
5.8%
2 1379
 
5.2%
3 1096
 
4.1%
5 783
 
2.9%
4 730
 
2.7%
0 682
 
2.5%
Other values (8) 2303
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39061
59.2%
ASCII 26898
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10875
40.4%
1 2806
 
10.4%
( 2266
 
8.4%
) 2266
 
8.4%
, 1561
 
5.8%
2 1379
 
5.1%
3 1096
 
4.1%
5 783
 
2.9%
4 730
 
2.7%
0 682
 
2.5%
Other values (37) 2454
 
9.1%
Hangul
ValueCountFrequency (%)
로 4557
 
11.7%
종 3131
 
8.0%
서 2340
 
6.0%
시 2306
 
5.9%
구 2299
 
5.9%
울 2272
 
5.8%
특 2263
 
5.8%
별 2261
 
5.8%
동 2130
 
5.5%
길 1104
 
2.8%
Other values (321) 14398
36.9%

도로명우편번호
Text

MISSING 

Distinct302
Distinct (%)31.6%
Missing1626
Missing (%)63.0%
Memory size20.3 KiB
2024-05-11T02:27:29.486772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3989529
Min length5

Characters and Unicode

Total characters5156
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

Unique106 ?
Unique (%)11.1%

Sample

1st row03041
2nd row110847
3rd row03194
4th row03188
5th row110340
ValueCountFrequency (%)
03198 13
 
1.4%
110111 13
 
1.4%
110126 13
 
1.4%
03086 12
 
1.3%
03192 12
 
1.3%
110130 11
 
1.2%
03126 11
 
1.2%
03195 11
 
1.2%
03170 10
 
1.0%
110123 10
 
1.0%
Other values (292) 839
87.9%
2024-05-11T02:27:30.846790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1510
29.3%
1 1395
27.1%
3 820
15.9%
8 250
 
4.8%
2 249
 
4.8%
4 224
 
4.3%
5 216
 
4.2%
7 170
 
3.3%
9 160
 
3.1%
6 150
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5144
99.8%
Dash Punctuation 12
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1510
29.4%
1 1395
27.1%
3 820
15.9%
8 250
 
4.9%
2 249
 
4.8%
4 224
 
4.4%
5 216
 
4.2%
7 170
 
3.3%
9 160
 
3.1%
6 150
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5156
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1510
29.3%
1 1395
27.1%
3 820
15.9%
8 250
 
4.8%
2 249
 
4.8%
4 224
 
4.3%
5 216
 
4.2%
7 170
 
3.3%
9 160
 
3.1%
6 150
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5156
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1510
29.3%
1 1395
27.1%
3 820
15.9%
8 250
 
4.8%
2 249
 
4.8%
4 224
 
4.3%
5 216
 
4.2%
7 170
 
3.3%
9 160
 
3.1%
6 150
 
2.9%

사업장명
Text

Distinct1924
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2024-05-11T02:27:31.696302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length6.6044169
Min length1

Characters and Unicode

Total characters17046
Distinct characters581
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

Unique1643 ?
Unique (%)63.7%

Sample

1st row-
2nd row비원
3rd row-
4th row덕우상회
5th row금강식품
ValueCountFrequency (%)
181
 
5.2%
씨유 143
 
4.1%
세븐일레븐 91
 
2.6%
gs25 84
 
2.4%
주)코리아세븐 37
 
1.1%
훼미리마트 36
 
1.0%
없음 30
 
0.9%
가로판매점 23
 
0.7%
미니스톱 21
 
0.6%
주식회사 21
 
0.6%
Other values (1928) 2791
80.7%
2024-05-11T02:27:33.301369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 958
 
5.6%
878
 
5.2%
로 569
 
3.3%
종 462
 
2.7%
트 332
 
1.9%
마 332
 
1.9%
대 303
 
1.8%
2 279
 
1.6%
스 274
 
1.6%
5 246
 
1.4%
Other values (571) 12413
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14097
82.7%
Space Separator 878
 
5.2%
Decimal Number 695
 
4.1%
Uppercase Letter 599
 
3.5%
Close Punctuation 231
 
1.4%
Open Punctuation 229
 
1.3%
Dash Punctuation 180
 
1.1%
Lowercase Letter 107
 
0.6%
Other Punctuation 27
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 958
 
6.8%
로 569
 
4.0%
종 462
 
3.3%
트 332
 
2.4%
마 332
 
2.4%
대 303
 
2.1%
스 274
 
1.9%
븐 238
 
1.7%
유 228
 
1.6%
리 225
 
1.6%
Other values (505) 10176
72.2%
Uppercase Letter
ValueCountFrequency (%)
S 196
32.7%
G 182
30.4%
C 37
 
6.2%
U 31
 
5.2%
M 26
 
4.3%
K 20
 
3.3%
E 13
 
2.2%
A 12
 
2.0%
L 11
 
1.8%
T 10
 
1.7%
Other values (14) 61
 
10.2%
Lowercase Letter
ValueCountFrequency (%)
e 16
15.0%
s 14
13.1%
t 11
10.3%
r 9
8.4%
a 9
8.4%
o 7
 
6.5%
n 5
 
4.7%
l 5
 
4.7%
u 5
 
4.7%
m 4
 
3.7%
Other values (11) 22
20.6%
Decimal Number
ValueCountFrequency (%)
2 279
40.1%
5 246
35.4%
1 41
 
5.9%
4 41
 
5.9%
3 34
 
4.9%
6 19
 
2.7%
7 15
 
2.2%
8 7
 
1.0%
0 7
 
1.0%
9 6
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 12
44.4%
, 6
22.2%
' 5
18.5%
& 3
 
11.1%
: 1
 
3.7%
Space Separator
ValueCountFrequency (%)
878
100.0%
Close Punctuation
ValueCountFrequency (%)
) 231
100.0%
Open Punctuation
ValueCountFrequency (%)
( 229
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14096
82.7%
Common 2242
 
13.2%
Latin 706
 
4.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 958
 
6.8%
로 569
 
4.0%
종 462
 
3.3%
트 332
 
2.4%
마 332
 
2.4%
대 303
 
2.1%
스 274
 
1.9%
븐 238
 
1.7%
유 228
 
1.6%
리 225
 
1.6%
Other values (504) 10175
72.2%
Latin
ValueCountFrequency (%)
S 196
27.8%
G 182
25.8%
C 37
 
5.2%
U 31
 
4.4%
M 26
 
3.7%
K 20
 
2.8%
e 16
 
2.3%
s 14
 
2.0%
E 13
 
1.8%
A 12
 
1.7%
Other values (35) 159
22.5%
Common
ValueCountFrequency (%)
878
39.2%
2 279
 
12.4%
5 246
 
11.0%
) 231
 
10.3%
( 229
 
10.2%
- 180
 
8.0%
1 41
 
1.8%
4 41
 
1.8%
3 34
 
1.5%
6 19
 
0.8%
Other values (10) 64
 
2.9%
Han
ValueCountFrequency (%)
賢 1
50.0%
星 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14094
82.7%
ASCII 2948
 
17.3%
CJK 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 958
 
6.8%
로 569
 
4.0%
종 462
 
3.3%
트 332
 
2.4%
마 332
 
2.4%
대 303
 
2.1%
스 274
 
1.9%
븐 238
 
1.7%
유 228
 
1.6%
리 225
 
1.6%
Other values (502) 10173
72.2%
ASCII
ValueCountFrequency (%)
878
29.8%
2 279
 
9.5%
5 246
 
8.3%
) 231
 
7.8%
( 229
 
7.8%
S 196
 
6.6%
G 182
 
6.2%
- 180
 
6.1%
1 41
 
1.4%
4 41
 
1.4%
Other values (55) 445
15.1%
Compat Jamo
ValueCountFrequency (%)
ㅂ 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%
CJK
ValueCountFrequency (%)
賢 1
50.0%
星 1
50.0%

최종수정일자
Date

Distinct2207
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
Minimum2007-07-23 17:08:42
Maximum2024-04-30 17:07:29
2024-05-11T02:27:33.870165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:27:34.359093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
I
1997 
U
584 

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 1997
77.4%
U 584
 
22.6%

Length

2024-05-11T02:27:34.785200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:27:35.128779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1997
77.4%
u 584
 
22.6%

데이터갱신일자
Date

Distinct471
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T02:27:35.524125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:27:36.104212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2581
Missing (%)100.0%
Memory size22.8 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1284
Distinct (%)53.7%
Missing192
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean199111.7
Minimum153874.18
Maximum206663.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-05-11T02:27:36.548881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum153874.18
5-th percentile196571.51
Q1197993.9
median199107.37
Q3200275.07
95-th percentile201575.51
Maximum206663.05
Range52788.868
Interquartile range (IQR)2281.1702

Descriptive statistics

Standard deviation1794.4728
Coefficient of variation (CV)0.0090123925
Kurtosis167.78435
Mean199111.7
Median Absolute Deviation (MAD)1161.2107
Skewness-6.7209429
Sum4.7567786 × 108
Variance3220132.8
MonotonicityNot monotonic
2024-05-11T02:27:37.038435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198150.300374121 18
 
0.7%
197673.919714838 14
 
0.5%
197567.849954354 12
 
0.5%
199554.074424085 12
 
0.5%
198852.959716775 10
 
0.4%
199045.298838868 10
 
0.4%
199509.962000656 10
 
0.4%
197662.503910553 9
 
0.3%
201960.951300031 9
 
0.3%
198204.837322667 9
 
0.3%
Other values (1274) 2276
88.2%
(Missing) 192
 
7.4%
ValueCountFrequency (%)
153874.180653 1
 
< 0.1%
195269.338907559 1
 
< 0.1%
195754.610409148 1
 
< 0.1%
195933.068395946 1
 
< 0.1%
195960.546025512 4
0.2%
195998.140762432 4
0.2%
196010.602015955 4
0.2%
196036.761890225 1
 
< 0.1%
196041.839277471 1
 
< 0.1%
196055.767884207 1
 
< 0.1%
ValueCountFrequency (%)
206663.048271925 1
 
< 0.1%
201966.262330671 1
 
< 0.1%
201962.62904341 1
 
< 0.1%
201960.951300031 9
0.3%
201957.720140045 2
 
0.1%
201955.261272616 1
 
< 0.1%
201949.750623535 2
 
0.1%
201949.270716491 1
 
< 0.1%
201946.86632604 2
 
0.1%
201939.317432918 2
 
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING  SKEWED 

Distinct1282
Distinct (%)53.7%
Missing192
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean452620.28
Minimum171131.88
Maximum457224.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-05-11T02:27:37.444474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum171131.88
5-th percentile451888.56
Q1452108.96
median452395.3
Q3453007.17
95-th percentile455415.79
Maximum457224.75
Range286092.86
Interquartile range (IQR)898.21501

Descriptive statistics

Standard deviation5846.7274
Coefficient of variation (CV)0.012917511
Kurtosis2252.5273
Mean452620.28
Median Absolute Deviation (MAD)350.00592
Skewness-46.758667
Sum1.0813099 × 109
Variance34184222
MonotonicityNot monotonic
2024-05-11T02:27:38.023924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452019.212642931 18
 
0.7%
452123.434528869 14
 
0.5%
453721.462706742 12
 
0.5%
452567.159554494 10
 
0.4%
451888.555001545 10
 
0.4%
452253.942584507 10
 
0.4%
451973.905769526 10
 
0.4%
452189.09236786 9
 
0.3%
451939.677286976 9
 
0.3%
452293.432531176 9
 
0.3%
Other values (1272) 2278
88.3%
(Missing) 192
 
7.4%
ValueCountFrequency (%)
171131.881015 1
 
< 0.1%
451609.630439328 1
 
< 0.1%
451682.368379486 2
0.1%
451683.728773742 4
0.2%
451690.586861352 3
0.1%
451745.290050169 1
 
< 0.1%
451776.429193029 2
0.1%
451784.633626517 1
 
< 0.1%
451785.296574342 1
 
< 0.1%
451791.439552661 1
 
< 0.1%
ValueCountFrequency (%)
457224.745016553 1
 
< 0.1%
457023.752164733 1
 
< 0.1%
456900.175792403 1
 
< 0.1%
456862.175077728 1
 
< 0.1%
456849.290514941 1
 
< 0.1%
456807.824808032 1
 
< 0.1%
456587.90777321 5
0.2%
456489.2676757 1
 
< 0.1%
456478.436790904 1
 
< 0.1%
456457.289965967 1
 
< 0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct1487
Distinct (%)75.2%
Missing603
Missing (%)23.4%
Infinite0
Infinite (%)0.0%
Mean20076154
Minimum19700128
Maximum20220224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.8 KiB
2024-05-11T02:27:38.646769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19700128
5-th percentile19930222
Q120021025
median20090304
Q320140918
95-th percentile20190615
Maximum20220224
Range520096
Interquartile range (IQR)119892.75

Descriptive statistics

Standard deviation86991.357
Coefficient of variation (CV)0.0043330688
Kurtosis1.5811462
Mean20076154
Median Absolute Deviation (MAD)59785.5
Skewness-1.0230498
Sum3.9710633 × 1010
Variance7.5674963 × 109
MonotonicityNot monotonic
2024-05-11T02:27:39.222114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19981217 8
 
0.3%
20201103 7
 
0.3%
19981130 7
 
0.3%
19981202 7
 
0.3%
19740701 7
 
0.3%
19981127 6
 
0.2%
19981209 6
 
0.2%
19981211 6
 
0.2%
20090305 6
 
0.2%
20101029 5
 
0.2%
Other values (1477) 1913
74.1%
(Missing) 603
 
23.4%
ValueCountFrequency (%)
19700128 1
 
< 0.1%
19740404 1
 
< 0.1%
19740509 1
 
< 0.1%
19740701 7
0.3%
19740804 1
 
< 0.1%
19740905 1
 
< 0.1%
19741108 1
 
< 0.1%
19741111 4
0.2%
19750225 1
 
< 0.1%
19750806 1
 
< 0.1%
ValueCountFrequency (%)
20220224 1
< 0.1%
20220214 1
< 0.1%
20220114 1
< 0.1%
20211227 1
< 0.1%
20211208 1
< 0.1%
20211125 1
< 0.1%
20211108 1
< 0.1%
20211018 1
< 0.1%
20210909 1
< 0.1%
20210827 1
< 0.1%

민원종류명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size20.3 KiB
2009년11월법개정전자료
1033 
제7조의3제2항에따른경우
647 
<NA>
603 
제7조의3제3항에따른경우
298 

Length

Max length14
Median length13
Mean length11.297559
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2009년11월법개정전자료
2nd row<NA>
3rd row2009년11월법개정전자료
4th row2009년11월법개정전자료
5th row2009년11월법개정전자료

Common Values

ValueCountFrequency (%)
2009년11월법개정전자료 1033
40.0%
제7조의3제2항에따른경우 647
25.1%
<NA> 603
23.4%
제7조의3제3항에따른경우 298
 
11.5%

Length

2024-05-11T02:27:39.677443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:27:39.998055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2009년11월법개정전자료 1033
40.0%
제7조의3제2항에따른경우 647
25.1%
na 603
23.4%
제7조의3제3항에따른경우 298
 
11.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
03000000196530000760560000119990930<NA>3폐업2폐업처리20150310<NA><NA><NA>02 7363485<NA><NA>서울특별시 종로구 누상동 16번지 4 호<NA><NA>-2015-03-10 17:53:59I2018-08-31 23:59:59.0<NA><NA><NA>199909302009년11월법개정전자료
13000000197330000760560000119731213<NA>3폐업2폐업처리20051122<NA><NA><NA>02 7621793<NA><NA>서울특별시 종로구 권농동 183번지 6호서울특별시 종로구 율곡로10길 59 (권농동)<NA>비원2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>199177.571636452504.43485<NA><NA>
23000000197430000760560000119740701200810144취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>02 1000000<NA><NA>서울특별시 종로구 필운동 130번지 12 호<NA><NA>-2008-11-12 22:47:57I2018-08-31 23:59:59.0<NA>197091.404411452762.995497197407012009년11월법개정전자료
33000000197430000760560000319990115<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 내자동 4번지서울특별시 종로구 자하문로1길 9 (내자동)03041덕우상회2016-01-14 15:02:52I2018-08-31 23:59:59.0<NA>197442.980237452682.304027199901152009년11월법개정전자료
43000000197430000760560000619740701<NA>3폐업2폐업처리20150511<NA><NA><NA>02 1000000<NA>110847서울특별시 종로구 평창동 213번지 1호서울특별시 종로구 평창문화로 72-6 (평창동)110847금강식품2015-05-11 11:40:31I2018-08-31 23:59:59.0<NA>197245.12217455990.761692197407012009년11월법개정전자료
53000000197430000760560000719741111<NA>3폐업2폐업처리20090803<NA><NA><NA><NA><NA><NA>서울특별시 종로구 무악동 10번지 3 호<NA><NA>-2009-08-03 15:26:35I2018-08-31 23:59:59.0<NA><NA><NA>197411112009년11월법개정전자료
63000000197430000760560001119741111<NA>3폐업2폐업처리20031211<NA><NA><NA>02 7329865<NA><NA>서울특별시 종로구 행촌동 209번지 76호서울특별시 종로구 통일로12길 6 (행촌동)<NA>행촌담배점2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>196398.294884452314.962334<NA><NA>
73000000197430000760560001819741111<NA>3폐업2폐업처리20060612<NA><NA><NA>02 1000000<NA><NA>서울특별시 종로구 신문로2가 89번지 2호<NA><NA>만물사2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
83000000197430000760560002119740905202112084취소/말소/만료/정지/중지3직권취소<NA>2007042620070525<NA>02 7436211<NA><NA>서울특별시 종로구 낙원동 284번지 6호 낙원지하상가 186서울특별시 종로구 삼일대로 428 (낙원동,낙원지하상가 186)<NA>낙원상회2021-12-08 13:11:46U2021-12-10 02:40:00.0<NA>198852.959717452253.942585197409052009년11월법개정전자료
93000000197430000760560002819910702<NA>3폐업2폐업처리20160704<NA><NA><NA>02 7653130<NA><NA>서울특별시 종로구 와룡동 25호서울특별시 종로구 율곡로10길 16 (와룡동)<NA>창덕상회2016-07-04 09:47:36I2018-08-31 23:59:59.0<NA>199125.711605452720.436667199107022009년11월법개정전자료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
2571300000020243000245056000052024-02-23<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 낙원동 144-1서울특별시 종로구 수표로 118-1 (낙원동)03139씨유 종로제일점2024-02-23 16:44:37I2023-12-01 22:05:00.0<NA>198979.900758452173.28417<NA><NA>
2572300000020243000245056000062024-03-07<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 누상동 166-118서울특별시 종로구 옥인6길 5, 지상 1호. 2호 (누상동)03038지에스(GS)25 수성동계곡점2024-03-08 10:33:12I2023-12-02 23:00:00.0<NA>196786.822206453289.29895<NA><NA>
2573300000020243000245056000072024-03-07<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 376서울특별시 종로구 숭인동길 76, 1층 (숭인동)03111지에스(GS)25 숭인보문점2024-03-08 10:37:35I2023-12-02 23:00:00.0<NA>201868.251816452890.732541<NA><NA>
2574300000020243000245056000082024-03-07<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 효자동 70-1서울특별시 종로구 자하문로 82, 1층 (효자동)03042씨유 종로효자점2024-03-08 14:30:56I2023-12-02 23:00:00.0<NA>197342.220895453450.527282<NA><NA>
2575300000020243000245056000092024-03-14<NA>1영업/정상0정상영업<NA><NA><NA><NA>02-2280-5300<NA><NA>서울특별시 종로구 신문로1가 25 정우빌딩서울특별시 종로구 새문안로 89, 정우빌딩 1층 (신문로1가)03182주식회사 두레온 씨유 광화문점2024-03-14 16:51:48I2023-12-02 23:06:00.0<NA>197680.78008452016.543891<NA><NA>
2576300000020243000245056000102024-03-14<NA>1영업/정상0정상영업<NA><NA><NA><NA>02-6966-9842<NA><NA>서울특별시 종로구 계동 140-2 현대빌딩서울특별시 종로구 율곡로 75, 현대빌딩 지하1층 (계동)03058(주)아워홈 현대건설 종로점2024-03-15 10:50:12I2023-12-02 23:07:00.0<NA>198817.289035452901.786745<NA><NA>
2577300000020243000245056000112024-03-15<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 신영동 240서울특별시 종로구 진흥로 484, 1층 (신영동)03013지에스(GS)25 종로신영점2024-04-16 15:16:09U2023-12-03 23:08:00.0<NA>196444.724457455869.049851<NA><NA>
2578300000020243000245056000122024-04-16<NA>1영업/정상0정상영업<NA><NA><NA><NA>02-732-3636<NA><NA>서울특별시 종로구 신영동 1-11서울특별시 종로구 진흥로 477-1, 1층 (신영동)03007(주)연타운2024-04-16 17:09:08I2023-12-03 23:08:00.0<NA>196470.449472455970.888516<NA><NA>
2579300000020243000245056000132024-04-25<NA>1영업/정상0정상영업<NA><NA><NA><NA>1577-8007<NA><NA>서울특별시 종로구 동숭동 1-144 낙산재서울특별시 종로구 대학로12길 73, 낙산재 1층 101호 (동숭동)03086(주)비지에프리테일 마로니에공원점2024-04-26 10:51:05I2023-12-03 22:08:00.0<NA>200281.251023453163.856124<NA><NA>
2580300000020243000245056000142024-04-30<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 1-100서울특별시 종로구 대학로8가길 111, 1층 (동숭동)03086주식회사 지에스25마로니에2024-04-30 17:07:29I2023-12-05 00:02:00.0<NA>200241.53961453188.699903<NA><NA>