Overview

Dataset statistics

Number of variables27
Number of observations3207
Missing cells27595
Missing cells (%)31.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory717.3 KiB
Average record size in memory229.0 B

Variable types

Categorical7
Numeric7
DateTime6
Unsupported3
Text4

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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-19912/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 2857 (89.1%) missing valuesMissing
폐업일자 has 912 (28.4%) missing valuesMissing
휴업시작일자 has 3163 (98.6%) missing valuesMissing
휴업종료일자 has 3163 (98.6%) missing valuesMissing
재개업일자 has 3207 (100.0%) missing valuesMissing
전화번호 has 971 (30.3%) missing valuesMissing
소재지면적 has 3207 (100.0%) missing valuesMissing
소재지우편번호 has 2688 (83.8%) missing valuesMissing
지번주소 has 122 (3.8%) missing valuesMissing
도로명주소 has 425 (13.3%) missing valuesMissing
도로명우편번호 has 1971 (61.5%) missing valuesMissing
업태구분명 has 3207 (100.0%) missing valuesMissing
좌표정보(X) has 216 (6.7%) missing valuesMissing
좌표정보(Y) has 216 (6.7%) missing valuesMissing
지정일자 has 1270 (39.6%) missing valuesMissing
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 started2024-04-29 20:03:11.959889
Analysis finished2024-04-29 20:03:13.093398
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
3100000
3207 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 3207
100.0%

Length

2024-04-30T05:03:13.157379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:13.236583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 3207
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3207
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0065264 × 1018
Minimum1.97431 × 1018
Maximum2.02431 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2024-04-30T05:03:13.330062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.97431 × 1018
5-th percentile1.99431 × 1018
Q12.00031 × 1018
median2.00531 × 1018
Q32.01231 × 1018
95-th percentile2.02031 × 1018
Maximum2.02431 × 1018
Range5.0000009 × 1016
Interquartile range (IQR)1.2000009 × 1016

Descriptive statistics

Standard deviation8.2681584 × 1015
Coefficient of variation (CV)0.0041206327
Kurtosis-0.028131931
Mean2.0065264 × 1018
Median Absolute Deviation (MAD)6 × 1015
Skewness-0.073301779
Sum-2.9834714 × 1018
Variance6.8362443 × 1031
MonotonicityStrictly increasing
2024-04-30T05:03:13.450841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1974310009605608006 1
 
< 0.1%
2010310010905600074 1
 
< 0.1%
2010310010905600064 1
 
< 0.1%
2010310010905600065 1
 
< 0.1%
2010310010905600066 1
 
< 0.1%
2010310010905600067 1
 
< 0.1%
2010310010905600068 1
 
< 0.1%
2010310010905600069 1
 
< 0.1%
2010310010905600070 1
 
< 0.1%
2010310010905600071 1
 
< 0.1%
Other values (3197) 3197
99.7%
ValueCountFrequency (%)
1974310009605608006 1
< 0.1%
1979310009605608008 1
< 0.1%
1980310009605601028 1
< 0.1%
1980310009605604024 1
< 0.1%
1980310009605605011 1
< 0.1%
1980310009605606021 1
< 0.1%
1980310009605606034 1
< 0.1%
1980310009605610042 1
< 0.1%
1980310009605611025 1
< 0.1%
1980310009605615014 1
< 0.1%
ValueCountFrequency (%)
2024310018405600015 1
< 0.1%
2024310018405600014 1
< 0.1%
2024310018405600013 1
< 0.1%
2024310018405600012 1
< 0.1%
2024310018405600011 1
< 0.1%
2024310018405600010 1
< 0.1%
2024310018405600009 1
< 0.1%
2024310018405600008 1
< 0.1%
2024310018405600007 1
< 0.1%
2024310018405600006 1
< 0.1%

인허가일자
Date

Distinct2166
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
Minimum1974-07-01 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T05:03:13.562876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:13.712538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Real number (ℝ)

MISSING 

Distinct109
Distinct (%)31.1%
Missing2857
Missing (%)89.1%
Infinite0
Infinite (%)0.0%
Mean20088597
Minimum20010810
Maximum20220727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2024-04-30T05:03:13.849160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010810
5-th percentile20011010
Q120040116
median20081022
Q320151104
95-th percentile20161111
Maximum20220727
Range209917
Interquartile range (IQR)110988

Descriptive statistics

Standard deviation55453.94
Coefficient of variation (CV)0.0027604685
Kurtosis-1.3936005
Mean20088597
Median Absolute Deviation (MAD)59820
Skewness0.069595498
Sum7.0310089 × 109
Variance3.0751395 × 109
MonotonicityNot monotonic
2024-04-30T05:03:13.963588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20151104 36
 
1.1%
20151207 22
 
0.7%
20011010 17
 
0.5%
20020809 15
 
0.5%
20081022 14
 
0.4%
20160930 14
 
0.4%
20011210 12
 
0.4%
20021202 9
 
0.3%
20090701 9
 
0.3%
20050428 9
 
0.3%
Other values (99) 193
 
6.0%
(Missing) 2857
89.1%
ValueCountFrequency (%)
20010810 5
 
0.2%
20011010 17
0.5%
20011031 2
 
0.1%
20011210 12
0.4%
20020215 5
 
0.2%
20020311 3
 
0.1%
20020617 2
 
0.1%
20020809 15
0.5%
20021026 2
 
0.1%
20021202 9
0.3%
ValueCountFrequency (%)
20220727 2
0.1%
20180510 1
< 0.1%
20180226 2
0.1%
20171218 2
0.1%
20170904 1
< 0.1%
20170821 1
< 0.1%
20170512 1
< 0.1%
20170324 1
< 0.1%
20170317 1
< 0.1%
20170220 1
< 0.1%

영업상태코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
3
2296 
1
547 
4
361 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2296
71.6%
1 547
 
17.1%
4 361
 
11.3%
2 3
 
0.1%

Length

2024-04-30T05:03:14.066741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:14.148320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2296
71.6%
1 547
 
17.1%
4 361
 
11.3%
2 3
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
폐업
2296 
영업/정상
547 
취소/말소/만료/정지/중지
361 
휴업
 
3

Length

Max length14
Median length2
Mean length3.8624883
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2296
71.6%
영업/정상 547
 
17.1%
취소/말소/만료/정지/중지 361
 
11.3%
휴업 3
 
0.1%

Length

2024-04-30T05:03:14.242229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:14.330580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2296
71.6%
영업/정상 547
 
17.1%
취소/말소/만료/정지/중지 361
 
11.3%
휴업 3
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2
2296 
0
547 
3
 
210
5
 
151
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 2296
71.6%
0 547
 
17.1%
3 210
 
6.5%
5 151
 
4.7%
1 3
 
0.1%

Length

2024-04-30T05:03:14.444507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:14.533033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2296
71.6%
0 547
 
17.1%
3 210
 
6.5%
5 151
 
4.7%
1 3
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
폐업처리
2296 
정상영업
547 
직권취소
 
210
지정취소
 
151
휴업처리
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 2296
71.6%
정상영업 547
 
17.1%
직권취소 210
 
6.5%
지정취소 151
 
4.7%
휴업처리 3
 
0.1%

Length

2024-04-30T05:03:14.632277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:14.733024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 2296
71.6%
정상영업 547
 
17.1%
직권취소 210
 
6.5%
지정취소 151
 
4.7%
휴업처리 3
 
0.1%

폐업일자
Date

MISSING 

Distinct1800
Distinct (%)78.4%
Missing912
Missing (%)28.4%
Memory size25.2 KiB
Minimum2001-01-13 00:00:00
Maximum2024-04-23 00:00:00
2024-04-30T05:03:14.847705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:14.988051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct42
Distinct (%)95.5%
Missing3163
Missing (%)98.6%
Memory size25.2 KiB
Minimum2005-07-11 00:00:00
Maximum2020-08-27 00:00:00
2024-04-30T05:03:15.113768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:15.218679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

휴업종료일자
Date

MISSING 

Distinct42
Distinct (%)95.5%
Missing3163
Missing (%)98.6%
Memory size25.2 KiB
Minimum2007-08-31 00:00:00
Maximum2024-12-31 00:00:00
2024-04-30T05:03:15.324244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:15.424469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3207
Missing (%)100.0%
Memory size28.3 KiB

전화번호
Text

MISSING 

Distinct1802
Distinct (%)80.6%
Missing971
Missing (%)30.3%
Memory size25.2 KiB
2024-04-30T05:03:15.611222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9.4534884
Min length1

Characters and Unicode

Total characters21138
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1594 ?
Unique (%)71.3%

Sample

1st row02 9722695
2nd row02 9721596
3rd row02 9724142
4th row02-917-9051
5th row02 9483634
ValueCountFrequency (%)
02 1268
37.0%
0000000 22
 
0.6%
1577-0711 16
 
0.5%
9735600 5
 
0.1%
9322551 5
 
0.1%
9748585 5
 
0.1%
9754707 5
 
0.1%
9342001 5
 
0.1%
9321410 4
 
0.1%
9515282 4
 
0.1%
Other values (1829) 2091
61.0%
2024-04-30T05:03:16.123313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3248
15.4%
9 3020
14.3%
2 2925
13.8%
3 2107
10.0%
7 1524
7.2%
1 1425
6.7%
1315
6.2%
5 1188
 
5.6%
- 1101
 
5.2%
6 1067
 
5.0%
Other values (3) 2218
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18604
88.0%
Space Separator 1433
 
6.8%
Dash Punctuation 1101
 
5.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3248
17.5%
9 3020
16.2%
2 2925
15.7%
3 2107
11.3%
7 1524
8.2%
1 1425
7.7%
5 1188
 
6.4%
6 1067
 
5.7%
8 1061
 
5.7%
4 1039
 
5.6%
Space Separator
ValueCountFrequency (%)
1315
91.8%
　 118
 
8.2%
Dash Punctuation
ValueCountFrequency (%)
- 1101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21138
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3248
15.4%
9 3020
14.3%
2 2925
13.8%
3 2107
10.0%
7 1524
7.2%
1 1425
6.7%
1315
6.2%
5 1188
 
5.6%
- 1101
 
5.2%
6 1067
 
5.0%
Other values (3) 2218
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21020
99.4%
None 118
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3248
15.5%
9 3020
14.4%
2 2925
13.9%
3 2107
10.0%
7 1524
7.3%
1 1425
6.8%
1315
6.3%
5 1188
 
5.7%
- 1101
 
5.2%
6 1067
 
5.1%
Other values (2) 2100
10.0%
None
ValueCountFrequency (%)
　 118
100.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3207
Missing (%)100.0%
Memory size28.3 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct123
Distinct (%)23.7%
Missing2688
Missing (%)83.8%
Infinite0
Infinite (%)0.0%
Mean134776.37
Minimum0
Maximum139959
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2024-04-30T05:03:16.247065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile139050
Q1139206
median139801
Q3139831
95-th percentile139872
Maximum139959
Range139959
Interquartile range (IQR)625

Descriptive statistics

Standard deviation25257.543
Coefficient of variation (CV)0.18740335
Kurtosis24.105259
Mean134776.37
Median Absolute Deviation (MAD)76
Skewness-5.0997534
Sum69948937
Variance6.3794349 × 108
MonotonicityNot monotonic
2024-04-30T05:03:16.361123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
139200 34
 
1.1%
139240 22
 
0.7%
139202 17
 
0.5%
139801 16
 
0.5%
139837 14
 
0.4%
139861 14
 
0.4%
139241 14
 
0.4%
139816 13
 
0.4%
139201 13
 
0.4%
139804 13
 
0.4%
Other values (113) 349
 
10.9%
(Missing) 2688
83.8%
ValueCountFrequency (%)
0 1
< 0.1%
1626 1
< 0.1%
1633 1
< 0.1%
1637 1
< 0.1%
1663 2
0.1%
1687 1
< 0.1%
1689 1
< 0.1%
1691 1
< 0.1%
1755 2
0.1%
1845 1
< 0.1%
ValueCountFrequency (%)
139959 1
 
< 0.1%
139958 1
 
< 0.1%
139955 1
 
< 0.1%
139942 6
0.2%
139938 1
 
< 0.1%
139923 2
 
0.1%
139918 1
 
< 0.1%
139912 1
 
< 0.1%
139907 1
 
< 0.1%
139905 3
0.1%

지번주소
Text

MISSING 

Distinct2797
Distinct (%)90.7%
Missing122
Missing (%)3.8%
Memory size25.2 KiB
2024-04-30T05:03:16.630791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length47
Mean length28.841491
Min length17

Characters and Unicode

Total characters88976
Distinct characters371
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2568 ?
Unique (%)83.2%

Sample

1st row서울특별시 노원구 하계동 208번지 1호
2nd row서울특별시 노원구 하계1동 170번지 13호
3rd row서울특별시 노원구 월계동 37번지 18호
4th row서울특별시 노원구 월계동 502번지 9호 1층
5th row서울특별시 노원구 공릉동 661번지 4 호
ValueCountFrequency (%)
서울특별시 3085
 
17.4%
노원구 3085
 
17.4%
상계동 1228
 
6.9%
공릉동 583
 
3.3%
1층 456
 
2.6%
중계동 412
 
2.3%
월계동 392
 
2.2%
호 298
 
1.7%
1호 271
 
1.5%
2호 138
 
0.8%
Other values (2606) 7772
43.9%
2024-04-30T05:03:17.074548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17505
19.7%
1 4887
 
5.5%
호 3470
 
3.9%
동 3330
 
3.7%
구 3202
 
3.6%
원 3196
 
3.6%
노 3135
 
3.5%
시 3123
 
3.5%
울 3120
 
3.5%
서 3113
 
3.5%
Other values (361) 40895
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52824
59.4%
Decimal Number 17756
 
20.0%
Space Separator 17505
 
19.7%
Other Punctuation 307
 
0.3%
Dash Punctuation 202
 
0.2%
Close Punctuation 171
 
0.2%
Open Punctuation 114
 
0.1%
Uppercase Letter 74
 
0.1%
Math Symbol 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 3470
 
6.6%
동 3330
 
6.3%
구 3202
 
6.1%
원 3196
 
6.1%
노 3135
 
5.9%
시 3123
 
5.9%
울 3120
 
5.9%
서 3113
 
5.9%
별 3093
 
5.9%
특 3088
 
5.8%
Other values (330) 20954
39.7%
Uppercase Letter
ValueCountFrequency (%)
B 40
54.1%
A 22
29.7%
K 3
 
4.1%
X 2
 
2.7%
S 1
 
1.4%
C 1
 
1.4%
U 1
 
1.4%
D 1
 
1.4%
T 1
 
1.4%
F 1
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 4887
27.5%
2 1923
 
10.8%
3 1780
 
10.0%
0 1740
 
9.8%
6 1473
 
8.3%
5 1429
 
8.0%
4 1409
 
7.9%
7 1229
 
6.9%
9 975
 
5.5%
8 911
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 183
59.6%
. 101
32.9%
? 20
 
6.5%
@ 2
 
0.7%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
17505
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 202
100.0%
Close Punctuation
ValueCountFrequency (%)
) 171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52824
59.4%
Common 36078
40.5%
Latin 74
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 3470
 
6.6%
동 3330
 
6.3%
구 3202
 
6.1%
원 3196
 
6.1%
노 3135
 
5.9%
시 3123
 
5.9%
울 3120
 
5.9%
서 3113
 
5.9%
별 3093
 
5.9%
특 3088
 
5.8%
Other values (330) 20954
39.7%
Common
ValueCountFrequency (%)
17505
48.5%
1 4887
 
13.5%
2 1923
 
5.3%
3 1780
 
4.9%
0 1740
 
4.8%
6 1473
 
4.1%
5 1429
 
4.0%
4 1409
 
3.9%
7 1229
 
3.4%
9 975
 
2.7%
Other values (10) 1728
 
4.8%
Latin
ValueCountFrequency (%)
B 40
54.1%
A 22
29.7%
K 3
 
4.1%
X 2
 
2.7%
S 1
 
1.4%
C 1
 
1.4%
U 1
 
1.4%
D 1
 
1.4%
T 1
 
1.4%
F 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52824
59.4%
ASCII 36152
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17505
48.4%
1 4887
 
13.5%
2 1923
 
5.3%
3 1780
 
4.9%
0 1740
 
4.8%
6 1473
 
4.1%
5 1429
 
4.0%
4 1409
 
3.9%
7 1229
 
3.4%
9 975
 
2.7%
Other values (21) 1802
 
5.0%
Hangul
ValueCountFrequency (%)
호 3470
 
6.6%
동 3330
 
6.3%
구 3202
 
6.1%
원 3196
 
6.1%
노 3135
 
5.9%
시 3123
 
5.9%
울 3120
 
5.9%
서 3113
 
5.9%
별 3093
 
5.9%
특 3088
 
5.8%
Other values (330) 20954
39.7%

도로명주소
Text

MISSING 

Distinct2283
Distinct (%)82.1%
Missing425
Missing (%)13.3%
Memory size25.2 KiB
2024-04-30T05:03:17.346566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length48
Mean length32.55895
Min length21

Characters and Unicode

Total characters90579
Distinct characters369
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1951 ?
Unique (%)70.1%

Sample

1st row서울특별시 노원구 한글비석로1길 37 (하계동)
2nd row서울특별시 노원구 광운로1길 26, 1층 (월계동)
3rd row서울특별시 노원구 화랑로 449 (공릉동)
4th row서울특별시 노원구 화랑로51나길 68 (공릉동)
5th row서울특별시 노원구 동일로 1645 (상계동)
ValueCountFrequency (%)
서울특별시 2782
 
16.9%
노원구 2778
 
16.9%
상계동 907
 
5.5%
1층 543
 
3.3%
공릉동 487
 
3.0%
월계동 289
 
1.8%
동일로 258
 
1.6%
중계동 213
 
1.3%
한글비석로 165
 
1.0%
덕릉로 138
 
0.8%
Other values (2234) 7895
48.0%
2024-04-30T05:03:17.758864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13687
 
15.1%
1 4804
 
5.3%
동 3887
 
4.3%
노 3075
 
3.4%
원 3073
 
3.4%
) 2893
 
3.2%
( 2858
 
3.2%
계 2845
 
3.1%
구 2836
 
3.1%
울 2816
 
3.1%
Other values (359) 47805
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52499
58.0%
Decimal Number 15648
 
17.3%
Space Separator 13687
 
15.1%
Close Punctuation 2893
 
3.2%
Open Punctuation 2858
 
3.2%
Other Punctuation 2602
 
2.9%
Dash Punctuation 288
 
0.3%
Uppercase Letter 73
 
0.1%
Math Symbol 30
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3887
 
7.4%
노 3075
 
5.9%
원 3073
 
5.9%
계 2845
 
5.4%
구 2836
 
5.4%
울 2816
 
5.4%
서 2808
 
5.3%
시 2806
 
5.3%
로 2795
 
5.3%
별 2787
 
5.3%
Other values (329) 22771
43.4%
Decimal Number
ValueCountFrequency (%)
1 4804
30.7%
2 2090
13.4%
0 1657
 
10.6%
4 1457
 
9.3%
3 1349
 
8.6%
5 942
 
6.0%
7 909
 
5.8%
6 875
 
5.6%
8 830
 
5.3%
9 735
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 43
58.9%
A 21
28.8%
K 3
 
4.1%
S 1
 
1.4%
C 1
 
1.4%
F 1
 
1.4%
T 1
 
1.4%
D 1
 
1.4%
U 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 2576
99.0%
? 21
 
0.8%
. 3
 
0.1%
@ 1
 
< 0.1%
/ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
13687
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2893
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2858
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 288
100.0%
Math Symbol
ValueCountFrequency (%)
~ 30
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52498
58.0%
Common 38006
42.0%
Latin 74
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3887
 
7.4%
노 3075
 
5.9%
원 3073
 
5.9%
계 2845
 
5.4%
구 2836
 
5.4%
울 2816
 
5.4%
서 2808
 
5.3%
시 2806
 
5.3%
로 2795
 
5.3%
별 2787
 
5.3%
Other values (328) 22770
43.4%
Common
ValueCountFrequency (%)
13687
36.0%
1 4804
 
12.6%
) 2893
 
7.6%
( 2858
 
7.5%
, 2576
 
6.8%
2 2090
 
5.5%
0 1657
 
4.4%
4 1457
 
3.8%
3 1349
 
3.5%
5 942
 
2.5%
Other values (10) 3693
 
9.7%
Latin
ValueCountFrequency (%)
B 43
58.1%
A 21
28.4%
K 3
 
4.1%
S 1
 
1.4%
C 1
 
1.4%
c 1
 
1.4%
F 1
 
1.4%
T 1
 
1.4%
D 1
 
1.4%
U 1
 
1.4%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52498
58.0%
ASCII 38080
42.0%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13687
35.9%
1 4804
 
12.6%
) 2893
 
7.6%
( 2858
 
7.5%
, 2576
 
6.8%
2 2090
 
5.5%
0 1657
 
4.4%
4 1457
 
3.8%
3 1349
 
3.5%
5 942
 
2.5%
Other values (20) 3767
 
9.9%
Hangul
ValueCountFrequency (%)
동 3887
 
7.4%
노 3075
 
5.9%
원 3073
 
5.9%
계 2845
 
5.4%
구 2836
 
5.4%
울 2816
 
5.4%
서 2808
 
5.3%
시 2806
 
5.3%
로 2795
 
5.3%
별 2787
 
5.3%
Other values (328) 22770
43.4%
CJK
ValueCountFrequency (%)
內 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct346
Distinct (%)28.0%
Missing1971
Missing (%)61.5%
Infinite0
Infinite (%)0.0%
Mean23751.563
Minimum1600
Maximum139958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2024-04-30T05:03:17.868291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1600
5-th percentile1623.75
Q11684.75
median1780.5
Q31885
95-th percentile139837.25
Maximum139958
Range138358
Interquartile range (IQR)200.25

Descriptive statistics

Standard deviation50540.114
Coefficient of variation (CV)2.1278647
Kurtosis1.4745566
Mean23751.563
Median Absolute Deviation (MAD)98
Skewness1.8633664
Sum29356932
Variance2.5543031 × 109
MonotonicityNot monotonic
2024-04-30T05:03:17.984693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1695 19
 
0.6%
139816 17
 
0.5%
1849 17
 
0.5%
1684 15
 
0.5%
1693 15
 
0.5%
1689 14
 
0.4%
1762 13
 
0.4%
1625 12
 
0.4%
1765 11
 
0.3%
139837 11
 
0.3%
Other values (336) 1092
34.1%
(Missing) 1971
61.5%
ValueCountFrequency (%)
1600 1
 
< 0.1%
1601 2
 
0.1%
1603 3
0.1%
1604 7
0.2%
1605 1
 
< 0.1%
1606 4
0.1%
1607 4
0.1%
1608 5
0.2%
1609 3
0.1%
1611 2
 
0.1%
ValueCountFrequency (%)
139958 2
0.1%
139957 2
0.1%
139956 2
0.1%
139955 1
< 0.1%
139942 1
< 0.1%
139938 1
< 0.1%
139930 1
< 0.1%
139927 1
< 0.1%
139923 1
< 0.1%
139918 2
0.1%

사업장명
Text

Distinct2368
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2024-04-30T05:03:18.248844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length6.6195822
Min length2

Characters and Unicode

Total characters21229
Distinct characters587
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1953 ?
Unique (%)60.9%

Sample

1st row우리상회
2nd row성수슈퍼
3rd row유근순
4th row광운문방구
5th row담배
ValueCountFrequency (%)
gs25 164
 
4.1%
씨유 90
 
2.2%
세븐일레븐 77
 
1.9%
지에스(gs)25 40
 
1.0%
미니스톱 38
 
0.9%
훼미리마트 38
 
0.9%
주)코리아세븐 35
 
0.9%
현대슈퍼 32
 
0.8%
담배 29
 
0.7%
이마트24 26
 
0.6%
Other values (2316) 3474
85.9%
2024-04-30T05:03:18.664496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 1008
 
4.7%
841
 
4.0%
마 783
 
3.7%
트 722
 
3.4%
계 567
 
2.7%
퍼 523
 
2.5%
슈 508
 
2.4%
2 434
 
2.0%
5 376
 
1.8%
S 369
 
1.7%
Other values (577) 15098
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17855
84.1%
Uppercase Letter 966
 
4.6%
Decimal Number 933
 
4.4%
Space Separator 841
 
4.0%
Close Punctuation 252
 
1.2%
Open Punctuation 252
 
1.2%
Lowercase Letter 87
 
0.4%
Other Punctuation 22
 
0.1%
Dash Punctuation 21
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1008
 
5.6%
마 783
 
4.4%
트 722
 
4.0%
계 567
 
3.2%
퍼 523
 
2.9%
슈 508
 
2.8%
상 367
 
2.1%
원 325
 
1.8%
스 291
 
1.6%
대 286
 
1.6%
Other values (518) 12475
69.9%
Uppercase Letter
ValueCountFrequency (%)
S 369
38.2%
G 343
35.5%
C 45
 
4.7%
U 37
 
3.8%
A 21
 
2.2%
K 17
 
1.8%
L 16
 
1.7%
M 12
 
1.2%
I 11
 
1.1%
E 10
 
1.0%
Other values (13) 85
 
8.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
12.6%
o 11
12.6%
a 9
10.3%
t 6
 
6.9%
s 6
 
6.9%
l 6
 
6.9%
r 6
 
6.9%
m 5
 
5.7%
y 4
 
4.6%
u 4
 
4.6%
Other values (9) 19
21.8%
Decimal Number
ValueCountFrequency (%)
2 434
46.5%
5 376
40.3%
4 50
 
5.4%
1 28
 
3.0%
6 15
 
1.6%
3 13
 
1.4%
7 9
 
1.0%
8 4
 
0.4%
9 4
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 16
72.7%
& 4
 
18.2%
: 1
 
4.5%
, 1
 
4.5%
Space Separator
ValueCountFrequency (%)
841
100.0%
Close Punctuation
ValueCountFrequency (%)
) 252
100.0%
Open Punctuation
ValueCountFrequency (%)
( 252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17855
84.1%
Common 2321
 
10.9%
Latin 1053
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1008
 
5.6%
마 783
 
4.4%
트 722
 
4.0%
계 567
 
3.2%
퍼 523
 
2.9%
슈 508
 
2.8%
상 367
 
2.1%
원 325
 
1.8%
스 291
 
1.6%
대 286
 
1.6%
Other values (518) 12475
69.9%
Latin
ValueCountFrequency (%)
S 369
35.0%
G 343
32.6%
C 45
 
4.3%
U 37
 
3.5%
A 21
 
2.0%
K 17
 
1.6%
L 16
 
1.5%
M 12
 
1.1%
I 11
 
1.0%
e 11
 
1.0%
Other values (32) 171
16.2%
Common
ValueCountFrequency (%)
841
36.2%
2 434
18.7%
5 376
16.2%
) 252
 
10.9%
( 252
 
10.9%
4 50
 
2.2%
1 28
 
1.2%
- 21
 
0.9%
. 16
 
0.7%
6 15
 
0.6%
Other values (7) 36
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17855
84.1%
ASCII 3374
 
15.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 1008
 
5.6%
마 783
 
4.4%
트 722
 
4.0%
계 567
 
3.2%
퍼 523
 
2.9%
슈 508
 
2.8%
상 367
 
2.1%
원 325
 
1.8%
스 291
 
1.6%
대 286
 
1.6%
Other values (518) 12475
69.9%
ASCII
ValueCountFrequency (%)
841
24.9%
2 434
12.9%
5 376
11.1%
S 369
10.9%
G 343
10.2%
) 252
 
7.5%
( 252
 
7.5%
4 50
 
1.5%
C 45
 
1.3%
U 37
 
1.1%
Other values (49) 375
11.1%

최종수정일자
Date

Distinct2176
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
Minimum2007-07-02 14:36:37
Maximum2024-04-23 16:09:04
2024-04-30T05:03:18.787019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:18.918265image/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 size25.2 KiB
I
2758 
U
449 

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 2758
86.0%
U 449
 
14.0%

Length

2024-04-30T05:03:19.019448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:19.102829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2758
86.0%
u 449
 
14.0%

데이터갱신일자
Date

Distinct489
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-30T05:03:19.205721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T05:03:19.320284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3207
Missing (%)100.0%
Memory size28.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1196
Distinct (%)40.0%
Missing216
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean206016.4
Minimum203719.16
Maximum209761.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2024-04-30T05:03:19.431660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203719.16
5-th percentile204672.12
Q1205320.28
median206127.14
Q3206691.88
95-th percentile207261.78
Maximum209761.73
Range6042.569
Interquartile range (IQR)1371.5981

Descriptive statistics

Standard deviation844.09497
Coefficient of variation (CV)0.0040972222
Kurtosis-0.44525371
Mean206016.4
Median Absolute Deviation (MAD)679.56053
Skewness-0.1195893
Sum6.1619505 × 108
Variance712496.31
MonotonicityNot monotonic
2024-04-30T05:03:19.549811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205984.15211292 17
 
0.5%
205707.281107587 16
 
0.5%
205455.618698896 14
 
0.4%
205341.384982763 13
 
0.4%
205185.458202013 12
 
0.4%
205344.664263273 12
 
0.4%
206961.390230248 12
 
0.4%
206164.229590529 11
 
0.3%
206981.454072644 11
 
0.3%
206409.778199104 10
 
0.3%
Other values (1186) 2863
89.3%
(Missing) 216
 
6.7%
ValueCountFrequency (%)
203719.161728968 2
 
0.1%
203762.973030298 5
0.2%
203786.584663472 8
0.2%
203798.287690402 2
 
0.1%
203839.989956111 5
0.2%
203857.946409231 1
 
< 0.1%
203904.660962669 4
0.1%
203920.549325193 2
 
0.1%
203982.774049825 1
 
< 0.1%
203986.825383903 2
 
0.1%
ValueCountFrequency (%)
209761.730768447 1
 
< 0.1%
209645.245072676 1
 
< 0.1%
209361.207272368 1
 
< 0.1%
208582.845949263 1
 
< 0.1%
208532.777004106 1
 
< 0.1%
208347.884966182 4
0.1%
208258.296165225 1
 
< 0.1%
208096.257780304 1
 
< 0.1%
208014.393680914 2
0.1%
207849.086484736 2
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1196
Distinct (%)40.0%
Missing216
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean460481.41
Minimum456916.21
Maximum465103.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2024-04-30T05:03:19.675280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456916.21
5-th percentile457400.4
Q1458290.14
median460895.26
Q3462176.7
95-th percentile463654.33
Maximum465103.76
Range8187.5416
Interquartile range (IQR)3886.5635

Descriptive statistics

Standard deviation2112.8629
Coefficient of variation (CV)0.0045883784
Kurtosis-1.3105236
Mean460481.41
Median Absolute Deviation (MAD)1838.9909
Skewness-0.054277028
Sum1.3772999 × 109
Variance4464189.8
MonotonicityNot monotonic
2024-04-30T05:03:19.796305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
457275.799282625 17
 
0.5%
462498.174061411 16
 
0.5%
457358.731978332 14
 
0.4%
460838.369137318 13
 
0.4%
462732.18472229 12
 
0.4%
459333.879372182 12
 
0.4%
460489.0999117 12
 
0.4%
458960.471391303 11
 
0.3%
462099.408212907 11
 
0.3%
458026.203245436 10
 
0.3%
Other values (1186) 2863
89.3%
(Missing) 216
 
6.7%
ValueCountFrequency (%)
456916.213568332 2
0.1%
456950.152059544 1
< 0.1%
456954.147370611 1
< 0.1%
456962.107796844 1
< 0.1%
456994.517426262 1
< 0.1%
456996.048176249 2
0.1%
457003.268496842 1
< 0.1%
457008.271220657 2
0.1%
457041.349875739 2
0.1%
457046.293582128 2
0.1%
ValueCountFrequency (%)
465103.755134816 2
 
0.1%
464995.722147154 3
 
0.1%
464959.058464501 2
 
0.1%
464922.213107238 1
 
< 0.1%
464908.023834237 1
 
< 0.1%
464626.627104628 1
 
< 0.1%
464589.376201942 1
 
< 0.1%
464520.059085693 1
 
< 0.1%
464508.952781941 6
0.2%
464356.527197506 8
0.2%

지정일자
Real number (ℝ)

MISSING 

Distinct1468
Distinct (%)75.8%
Missing1270
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean20083534
Minimum19790604
Maximum20220316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.3 KiB
2024-04-30T05:03:19.907428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19790604
5-th percentile19950592
Q120040610
median20090731
Q320140519
95-th percentile20190816
Maximum20220316
Range429712
Interquartile range (IQR)99909

Descriptive statistics

Standard deviation74927.393
Coefficient of variation (CV)0.0037307872
Kurtosis0.68359421
Mean20083534
Median Absolute Deviation (MAD)49921
Skewness-0.70244384
Sum3.8901806 × 1010
Variance5.6141142 × 109
MonotonicityNot monotonic
2024-04-30T05:03:20.036486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070323 7
 
0.2%
20011231 6
 
0.2%
20131104 6
 
0.2%
20080410 6
 
0.2%
20140519 5
 
0.2%
20100204 5
 
0.2%
20100520 5
 
0.2%
20050518 5
 
0.2%
20140923 5
 
0.2%
19981116 4
 
0.1%
Other values (1458) 1883
58.7%
(Missing) 1270
39.6%
ValueCountFrequency (%)
19790604 1
 
< 0.1%
19800701 4
0.1%
19801216 1
 
< 0.1%
19801222 1
 
< 0.1%
19810520 1
 
< 0.1%
19810529 1
 
< 0.1%
19820522 1
 
< 0.1%
19830523 1
 
< 0.1%
19831013 1
 
< 0.1%
19840106 1
 
< 0.1%
ValueCountFrequency (%)
20220316 1
< 0.1%
20220225 1
< 0.1%
20220216 1
< 0.1%
20220127 1
< 0.1%
20220125 1
< 0.1%
20211227 2
0.1%
20211215 1
< 0.1%
20211214 1
< 0.1%
20211110 1
< 0.1%
20211014 1
< 0.1%

민원종류명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
<NA>
1270 
2009년11월법개정전자료
984 
제7조의3제2항에따른경우
846 
제7조의3제3항에따른경우
 
107

Length

Max length14
Median length13
Mean length9.7427502
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1270
39.6%
2009년11월법개정전자료 984
30.7%
제7조의3제2항에따른경우 846
26.4%
제7조의3제3항에따른경우 107
 
3.3%

Length

2024-04-30T05:03:20.150312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T05:03:20.240134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1270
39.6%
2009년11월법개정전자료 984
30.7%
제7조의3제2항에따른경우 846
26.4%
제7조의3제3항에따른경우 107
 
3.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
03100000197431000960560800619740701<NA>3폐업2폐업처리20030923<NA><NA><NA>02 9722695<NA><NA>서울특별시 노원구 하계동 208번지 1호서울특별시 노원구 한글비석로1길 37 (하계동)<NA>우리상회2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>206142.201786459666.577429<NA><NA>
13100000197931000960560800819790604<NA>3폐업2폐업처리201202242011121920120218<NA>02 9721596<NA>139871서울특별시 노원구 하계1동 170번지 13호<NA><NA>성수슈퍼2012-02-24 14:09:05I2018-08-31 23:59:59.0<NA>206327.696516459321.854898197906042009년11월법개정전자료
23100000198031000960560102819800904<NA>3폐업2폐업처리20021012<NA><NA><NA>02 9724142<NA><NA>서울특별시 노원구 월계동 37번지 18호<NA><NA>유근순2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
33100000198031000960560402419800701<NA>1영업/정상0정상영업<NA><NA><NA><NA>02-917-9051<NA><NA>서울특별시 노원구 월계동 502번지 9호 1층서울특별시 노원구 광운로1길 26, 1층 (월계동)1890광운문방구2016-11-10 10:57:14I2018-08-31 23:59:59.0<NA>204895.029213457432.597722198007012009년11월법개정전자료
43100000198031000960560501119800701<NA>3폐업2폐업처리20110228<NA><NA><NA>02 9483634<NA><NA>서울특별시 노원구 공릉동 661번지 4 호서울특별시 노원구 화랑로 449 (공릉동)<NA>담배2011-02-28 10:37:54I2018-08-31 23:59:59.0<NA>206760.872046457359.441329198007012009년11월법개정전자료
53100000198031000960560602119801216201511044취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>02 9727841<NA><NA>서울특별시 노원구 공릉동 123호서울특별시 노원구 화랑로51나길 68 (공릉동)<NA>이수용2015-11-04 13:30:02I2018-08-31 23:59:59.0<NA>208096.25778458226.854071198012162009년11월법개정전자료
63100000198031000960560603419801222<NA>3폐업2폐업처리20130905<NA><NA><NA>02 9722729<NA><NA>서울특별시 노원구 공릉동 27번지 1 호<NA><NA>진현구2013-09-05 09:12:30I2018-08-31 23:59:59.0<NA><NA><NA>198012222009년11월법개정전자료
73100000198031000960561004219800701201010284취소/말소/만료/정지/중지5지정취소<NA><NA><NA><NA>02 9302786<NA><NA>서울특별시 노원구 중계동 산29번지 47 호<NA><NA>대복상회2010-10-29 14:16:49I2018-08-31 23:59:59.0<NA><NA><NA>198007012009년11월법개정전자료
83100000198031000960561102519800818<NA>3폐업2폐업처리20011008<NA><NA><NA>02 9721522<NA><NA>서울특별시 노원구 중계동 171번지 6호<NA><NA>김만기2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
93100000198031000960561501419801223200208094취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>02 9368168<NA><NA>서울특별시 노원구 상계동 1118번지 60호서울특별시 노원구 동일로 1645 (상계동)<NA>배종민2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>204782.962112463655.78099<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
3197310000020243100184056000062024-02-08<NA>1영업/정상0정상영업<NA><NA><NA><NA>02-939-3538<NA><NA>서울특별시 노원구 상계동 151-4 흥봉빌딩서울특별시 노원구 한글비석로44길 31, 흥봉빌딩 1층 (상계동)1666GS25 상계대박점2024-02-08 09:23:29I2023-12-01 23:01:00.0<NA>206097.301989462429.123801<NA><NA>
3198310000020243100184056000072024-02-20<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 223-15 용호빌딩서울특별시 노원구 공릉로34길 121, 용호빌딩 1층 (공릉동)1818강성희2024-03-21 13:33:03U2023-12-02 22:03:00.0<NA>207024.167239458132.90507<NA><NA>
3199310000020243100184056000082024-03-05<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 766-1 미도아파트서울특별시 노원구 덕릉로 459-18, 1층 116,117,118호 (상계동, 미도아파트)1769씨유상계미도점2024-03-08 14:52:35U2023-12-02 23:00:00.0<NA>205309.755822460429.879162<NA><NA>
3200310000020243100184056000092024-03-06<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 157-48 동우상가서울특별시 노원구 덕릉로82길 25, 동우상가 (중계동)1715지에스25(GS25) 중계공원점2024-03-06 20:02:54I2023-12-03 00:08:00.0<NA>206698.465292461787.960549<NA><NA>
3201310000020243100184056000102024-03-08<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 333-1 월계이마트서울특별시 노원구 마들로3길 15, 구내식당 內 (월계동, 월계이마트) (월계동)1906이마트 24 이마트 월계점2024-03-08 14:48:33I2023-12-02 23:00:00.0<NA>205391.070378458333.989216<NA><NA>
3202310000020243100184056000112024-03-26<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 1280 희락상가아파트서울특별시 노원구 수락산로 190, 희락상가아파트 1층 101,102,103,104호 (상계동)1631씨유상계하모니점2024-04-03 09:38:12U2023-12-04 00:05:00.0<NA>204979.663455463199.356724<NA><NA>
3203310000020243100184056000122024-03-26<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 공릉동 382-23서울특별시 노원구 동일로191길 28, 1층 (공릉동)1853그린마트2024-03-26 11:19:20I2023-12-02 22:08:00.0<NA>206230.029017458087.984595<NA><NA>
3204310000020243100184056000132024-03-27<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 705-2 청산빌딩서울특별시 노원구 노해로 451, 청산빌딩 1층 2호 (상계동)1689GS25 노원청산점2024-03-26 15:25:04I2023-12-02 22:08:00.0<NA>205067.907965461303.9789<NA><NA>
3205310000020243100184056000142024-04-08<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 1049-86서울특별시 노원구 동일로237길 16, 1층 정면 우측 맨끝 점포호 (상계동)1612구제잡화샵2024-04-08 14:27:17I2023-12-03 23:00:00.0<NA>204718.531568463500.116408<NA><NA>
3206310000020243100184056000152024-04-23<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 1258 희성오피앙서울특별시 노원구 동일로 1701, 1층 114,115,116호 (상계동, 희성오피앙)1604씨유상계오피앙점2024-04-23 16:09:04I2023-12-03 22:05:00.0<NA>204772.500639464208.305429<NA><NA>