Overview

Dataset statistics

Number of variables27
Number of observations3436
Missing cells30316
Missing cells (%)32.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory758.5 KiB
Average record size in memory226.0 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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-19926/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 2946 (85.7%) missing valuesMissing
폐업일자 has 1129 (32.9%) missing valuesMissing
휴업시작일자 has 3378 (98.3%) missing valuesMissing
휴업종료일자 has 3379 (98.3%) missing valuesMissing
재개업일자 has 3436 (100.0%) missing valuesMissing
전화번호 has 1800 (52.4%) missing valuesMissing
소재지면적 has 3436 (100.0%) missing valuesMissing
소재지우편번호 has 2329 (67.8%) missing valuesMissing
지번주소 has 344 (10.0%) missing valuesMissing
도로명주소 has 499 (14.5%) missing valuesMissing
도로명우편번호 has 2221 (64.6%) missing valuesMissing
업태구분명 has 3436 (100.0%) missing valuesMissing
좌표정보(X) has 311 (9.1%) missing valuesMissing
좌표정보(Y) has 311 (9.1%) missing valuesMissing
지정일자 has 1361 (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 started2024-04-06 12:52:38.404345
Analysis finished2024-04-06 12:52:40.617060
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
3240000
3436 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 3436
100.0%

Length

2024-04-06T21:52:40.765241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:40.974888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 3436
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3436
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0089393 × 1018
Minimum1.975324 × 1018
Maximum2.024324 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-04-06T21:52:41.214314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.975324 × 1018
5-th percentile1.997324 × 1018
Q12.003324 × 1018
median2.009324 × 1018
Q32.014324 × 1018
95-th percentile2.021324 × 1018
Maximum2.024324 × 1018
Range4.9000018 × 1016
Interquartile range (IQR)1.1000008 × 1016

Descriptive statistics

Standard deviation7.4778583 × 1015
Coefficient of variation (CV)0.0037222919
Kurtosis-0.12068483
Mean2.0089393 × 1018
Median Absolute Deviation (MAD)5.000005 × 1015
Skewness-0.16809655
Sum3.6330326 × 1018
Variance5.5918365 × 1031
MonotonicityStrictly increasing
2024-04-06T21:52:41.705224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1975324010605618005 1
 
< 0.1%
2012324017505600054 1
 
< 0.1%
2012324017505600056 1
 
< 0.1%
2012324017505600057 1
 
< 0.1%
2012324017505600058 1
 
< 0.1%
2012324017505600059 1
 
< 0.1%
2012324017505600060 1
 
< 0.1%
2012324017505600061 1
 
< 0.1%
2012324017505600062 1
 
< 0.1%
2012324017505600063 1
 
< 0.1%
Other values (3426) 3426
99.7%
ValueCountFrequency (%)
1975324010605618005 1
< 0.1%
1975324010605621015 1
< 0.1%
1981324013905600001 1
< 0.1%
1982324010605615014 1
< 0.1%
1982324010605616025 1
< 0.1%
1983324010605618053 1
< 0.1%
1984324010605601010 1
< 0.1%
1984324010605605021 1
< 0.1%
1984324010605607006 1
< 0.1%
1984324010605620003 1
< 0.1%
ValueCountFrequency (%)
2024324028905600015 1
< 0.1%
2024324028905600014 1
< 0.1%
2024324028905600013 1
< 0.1%
2024324028905600012 1
< 0.1%
2024324028905600011 1
< 0.1%
2024324028905600010 1
< 0.1%
2024324028905600009 1
< 0.1%
2024324028905600008 1
< 0.1%
2024324028905600007 1
< 0.1%
2024324028905600006 1
< 0.1%

인허가일자
Date

Distinct2309
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
Minimum1975-05-21 00:00:00
Maximum2024-04-01 00:00:00
2024-04-06T21:52:42.041389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:42.331975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct127
Distinct (%)25.9%
Missing2946
Missing (%)85.7%
Memory size27.0 KiB
Minimum2002-01-04 00:00:00
Maximum2024-03-29 00:00:00
2024-04-06T21:52:42.631136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:42.932485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태코드
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
3
2307 
1
602 
4
525 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 2307
67.1%
1 602
 
17.5%
4 525
 
15.3%
2 2
 
0.1%

Length

2024-04-06T21:52:43.263746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:43.471291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2307
67.1%
1 602
 
17.5%
4 525
 
15.3%
2 2
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
폐업
2307 
영업/정상
602 
취소/말소/만료/정지/중지
525 
휴업
 
2

Length

Max length14
Median length2
Mean length4.3591385
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2307
67.1%
영업/정상 602
 
17.5%
취소/말소/만료/정지/중지 525
 
15.3%
휴업 2
 
0.1%

Length

2024-04-06T21:52:43.695435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:43.905671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2307
67.1%
영업/정상 602
 
17.5%
취소/말소/만료/정지/중지 525
 
15.3%
휴업 2
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
2
2307 
0
602 
5
344 
3
 
181
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 2307
67.1%
0 602
 
17.5%
5 344
 
10.0%
3 181
 
5.3%
1 2
 
0.1%

Length

2024-04-06T21:52:44.158610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:44.384764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2307
67.1%
0 602
 
17.5%
5 344
 
10.0%
3 181
 
5.3%
1 2
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
폐업처리
2307 
정상영업
602 
지정취소
344 
직권취소
 
181
휴업처리
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 2307
67.1%
정상영업 602
 
17.5%
지정취소 344
 
10.0%
직권취소 181
 
5.3%
휴업처리 2
 
0.1%

Length

2024-04-06T21:52:44.660773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:44.913108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 2307
67.1%
정상영업 602
 
17.5%
지정취소 344
 
10.0%
직권취소 181
 
5.3%
휴업처리 2
 
0.1%

폐업일자
Date

MISSING 

Distinct1690
Distinct (%)73.3%
Missing1129
Missing (%)32.9%
Memory size27.0 KiB
Minimum1986-06-30 00:00:00
Maximum2024-04-02 00:00:00
2024-04-06T21:52:45.173603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:45.618238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct55
Distinct (%)94.8%
Missing3378
Missing (%)98.3%
Memory size27.0 KiB
Minimum2004-02-01 00:00:00
Maximum2024-02-28 00:00:00
2024-04-06T21:52:45.854871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:46.114980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct53
Distinct (%)93.0%
Missing3379
Missing (%)98.3%
Memory size27.0 KiB
Minimum2006-12-30 00:00:00
Maximum2024-03-28 00:00:00
2024-04-06T21:52:46.416293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:46.719140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3436
Missing (%)100.0%
Memory size30.3 KiB

전화번호
Text

MISSING 

Distinct1531
Distinct (%)93.6%
Missing1800
Missing (%)52.4%
Memory size27.0 KiB
2024-04-06T21:52:47.315463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length7
Mean length8.2066015
Min length1

Characters and Unicode

Total characters13426
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1452 ?
Unique (%)88.8%

Sample

1st row4766027
2nd row4860430
3rd row487-6159
4th row4838959
5th row4732823
ValueCountFrequency (%)
02 118
 
6.5%
1577-0711 17
 
0.9%
000 5
 
0.3%
02-1577-0711 5
 
0.3%
441 4
 
0.2%
470 4
 
0.2%
031 4
 
0.2%
427 4
 
0.2%
0000 4
 
0.2%
472 4
 
0.2%
Other values (1539) 1659
90.8%
2024-04-06T21:52:48.072243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 2414
18.0%
2 1626
12.1%
7 1515
11.3%
0 1373
10.2%
8 1276
9.5%
3 936
 
7.0%
1 931
 
6.9%
6 882
 
6.6%
5 846
 
6.3%
- 716
 
5.3%
Other values (5) 911
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12512
93.2%
Dash Punctuation 716
 
5.3%
Space Separator 195
 
1.5%
Other Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 2414
19.3%
2 1626
13.0%
7 1515
12.1%
0 1373
11.0%
8 1276
10.2%
3 936
 
7.5%
1 931
 
7.4%
6 882
 
7.0%
5 846
 
6.8%
9 713
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 716
100.0%
Space Separator
ValueCountFrequency (%)
195
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13426
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 2414
18.0%
2 1626
12.1%
7 1515
11.3%
0 1373
10.2%
8 1276
9.5%
3 936
 
7.0%
1 931
 
6.9%
6 882
 
6.6%
5 846
 
6.3%
- 716
 
5.3%
Other values (5) 911
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13426
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 2414
18.0%
2 1626
12.1%
7 1515
11.3%
0 1373
10.2%
8 1276
9.5%
3 936
 
7.0%
1 931
 
6.9%
6 882
 
6.6%
5 846
 
6.3%
- 716
 
5.3%
Other values (5) 911
 
6.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3436
Missing (%)100.0%
Memory size30.3 KiB

소재지우편번호
Text

MISSING 

Distinct187
Distinct (%)16.9%
Missing2329
Missing (%)67.8%
Memory size27.0 KiB
2024-04-06T21:52:48.599795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1147245
Min length3

Characters and Unicode

Total characters6769
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

Unique46 ?
Unique (%)4.2%

Sample

1st row134862
2nd row134809
3rd row134032
4th row134072
5th row134867
ValueCountFrequency (%)
134010 47
 
4.2%
134864 32
 
2.9%
134859 30
 
2.7%
134867 28
 
2.5%
134100 27
 
2.4%
134861 26
 
2.3%
134033 25
 
2.3%
134830 23
 
2.1%
134841 22
 
2.0%
134840 22
 
2.0%
Other values (177) 825
74.5%
2024-04-06T21:52:50.094791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1478
21.8%
3 1364
20.2%
4 1344
19.9%
8 796
11.8%
0 637
9.4%
7 260
 
3.8%
2 244
 
3.6%
6 225
 
3.3%
5 192
 
2.8%
- 130
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6639
98.1%
Dash Punctuation 130
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1478
22.3%
3 1364
20.5%
4 1344
20.2%
8 796
12.0%
0 637
9.6%
7 260
 
3.9%
2 244
 
3.7%
6 225
 
3.4%
5 192
 
2.9%
9 99
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6769
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1478
21.8%
3 1364
20.2%
4 1344
19.9%
8 796
11.8%
0 637
9.4%
7 260
 
3.8%
2 244
 
3.6%
6 225
 
3.3%
5 192
 
2.8%
- 130
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6769
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1478
21.8%
3 1364
20.2%
4 1344
19.9%
8 796
11.8%
0 637
9.4%
7 260
 
3.8%
2 244
 
3.6%
6 225
 
3.3%
5 192
 
2.8%
- 130
 
1.9%

지번주소
Text

MISSING 

Distinct2810
Distinct (%)90.9%
Missing344
Missing (%)10.0%
Memory size27.0 KiB
2024-04-06T21:52:50.866386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length46
Mean length25.614166
Min length12

Characters and Unicode

Total characters79199
Distinct characters359
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

Unique2619 ?
Unique (%)84.7%

Sample

1st row서울특별시 강동구 길동 360번지 8 호
2nd row서울특별시 강동구 둔촌동 87번지 7 호
3rd row서울특별시 강동구 천호3동 52번지 15호
4th row서울특별시 강동구 성내동 319번지 27 호
5th row서울특별시 강동구 성내동 77번지 2 호
ValueCountFrequency (%)
서울특별시 3091
18.3%
강동구 3091
18.3%
천호동 603
 
3.6%
호 537
 
3.2%
성내동 515
 
3.1%
길동 397
 
2.4%
1층 363
 
2.2%
암사동 312
 
1.9%
명일동 188
 
1.1%
1호 178
 
1.1%
Other values (2122) 7580
45.0%
2024-04-06T21:52:52.069591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16120
20.4%
동 6343
 
8.0%
호 3637
 
4.6%
1 3491
 
4.4%
강 3320
 
4.2%
시 3140
 
4.0%
구 3109
 
3.9%
서 3104
 
3.9%
울 3102
 
3.9%
별 3097
 
3.9%
Other values (349) 30736
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46890
59.2%
Space Separator 16120
 
20.4%
Decimal Number 15222
 
19.2%
Dash Punctuation 466
 
0.6%
Uppercase Letter 133
 
0.2%
Close Punctuation 123
 
0.2%
Open Punctuation 123
 
0.2%
Other Punctuation 105
 
0.1%
Lowercase Letter 10
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6343
13.5%
호 3637
 
7.8%
강 3320
 
7.1%
시 3140
 
6.7%
구 3109
 
6.6%
서 3104
 
6.6%
울 3102
 
6.6%
별 3097
 
6.6%
특 3091
 
6.6%
지 2424
 
5.2%
Other values (301) 12523
26.7%
Uppercase Letter
ValueCountFrequency (%)
B 29
21.8%
A 22
16.5%
K 14
10.5%
X 9
 
6.8%
S 8
 
6.0%
D 7
 
5.3%
P 6
 
4.5%
L 5
 
3.8%
I 5
 
3.8%
C 4
 
3.0%
Other values (12) 24
18.0%
Decimal Number
ValueCountFrequency (%)
1 3491
22.9%
4 2057
13.5%
3 1927
12.7%
2 1912
12.6%
5 1309
 
8.6%
0 1268
 
8.3%
7 882
 
5.8%
6 881
 
5.8%
8 753
 
4.9%
9 742
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
p 2
20.0%
k 2
20.0%
n 2
20.0%
e 1
10.0%
b 1
10.0%
t 1
10.0%
s 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 81
77.1%
@ 17
 
16.2%
/ 6
 
5.7%
. 1
 
1.0%
Space Separator
ValueCountFrequency (%)
16120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 466
100.0%
Close Punctuation
ValueCountFrequency (%)
) 123
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46890
59.2%
Common 32166
40.6%
Latin 143
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6343
13.5%
호 3637
 
7.8%
강 3320
 
7.1%
시 3140
 
6.7%
구 3109
 
6.6%
서 3104
 
6.6%
울 3102
 
6.6%
별 3097
 
6.6%
특 3091
 
6.6%
지 2424
 
5.2%
Other values (301) 12523
26.7%
Latin
ValueCountFrequency (%)
B 29
20.3%
A 22
15.4%
K 14
9.8%
X 9
 
6.3%
S 8
 
5.6%
D 7
 
4.9%
P 6
 
4.2%
L 5
 
3.5%
I 5
 
3.5%
C 4
 
2.8%
Other values (19) 34
23.8%
Common
ValueCountFrequency (%)
16120
50.1%
1 3491
 
10.9%
4 2057
 
6.4%
3 1927
 
6.0%
2 1912
 
5.9%
5 1309
 
4.1%
0 1268
 
3.9%
7 882
 
2.7%
6 881
 
2.7%
8 753
 
2.3%
Other values (9) 1566
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46890
59.2%
ASCII 32309
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16120
49.9%
1 3491
 
10.8%
4 2057
 
6.4%
3 1927
 
6.0%
2 1912
 
5.9%
5 1309
 
4.1%
0 1268
 
3.9%
7 882
 
2.7%
6 881
 
2.7%
8 753
 
2.3%
Other values (38) 1709
 
5.3%
Hangul
ValueCountFrequency (%)
동 6343
13.5%
호 3637
 
7.8%
강 3320
 
7.1%
시 3140
 
6.7%
구 3109
 
6.6%
서 3104
 
6.6%
울 3102
 
6.6%
별 3097
 
6.6%
특 3091
 
6.6%
지 2424
 
5.2%
Other values (301) 12523
26.7%

도로명주소
Text

MISSING 

Distinct2383
Distinct (%)81.1%
Missing499
Missing (%)14.5%
Memory size27.0 KiB
2024-04-06T21:52:52.671746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length59
Mean length29.930541
Min length21

Characters and Unicode

Total characters87906
Distinct characters360
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

Unique1982 ?
Unique (%)67.5%

Sample

1st row서울특별시 강동구 명일로17길 48 (길동)
2nd row서울특별시 강동구 진황도로 179 (둔촌동)
3rd row서울특별시 강동구 양재대로121길 13 (천호동)
4th row서울특별시 강동구 성내로3길 1 (성내동)
5th row서울특별시 강동구 천호옛17길 31 (성내동)
ValueCountFrequency (%)
서울특별시 2936
 
17.5%
강동구 2930
 
17.4%
1층 650
 
3.9%
천호동 577
 
3.4%
성내동 514
 
3.1%
암사동 298
 
1.8%
길동 295
 
1.8%
구천면로 178
 
1.1%
101호 164
 
1.0%
천호대로 161
 
1.0%
Other values (1840) 8089
48.2%
2024-04-06T21:52:53.566139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13867
 
15.8%
동 6191
 
7.0%
1 4432
 
5.0%
구 3256
 
3.7%
강 3153
 
3.6%
) 3030
 
3.4%
( 3030
 
3.4%
시 2988
 
3.4%
서 2951
 
3.4%
울 2950
 
3.4%
Other values (350) 42058
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51074
58.1%
Decimal Number 14621
 
16.6%
Space Separator 13867
 
15.8%
Close Punctuation 3030
 
3.4%
Open Punctuation 3030
 
3.4%
Other Punctuation 1944
 
2.2%
Dash Punctuation 195
 
0.2%
Uppercase Letter 122
 
0.1%
Lowercase Letter 17
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 6191
 
12.1%
구 3256
 
6.4%
강 3153
 
6.2%
시 2988
 
5.9%
서 2951
 
5.8%
울 2950
 
5.8%
별 2937
 
5.8%
특 2936
 
5.7%
로 2885
 
5.6%
길 2133
 
4.2%
Other values (299) 18694
36.6%
Uppercase Letter
ValueCountFrequency (%)
B 33
27.0%
A 19
15.6%
K 12
 
9.8%
D 7
 
5.7%
S 6
 
4.9%
P 6
 
4.9%
I 5
 
4.1%
C 4
 
3.3%
X 4
 
3.3%
L 4
 
3.3%
Other values (10) 22
18.0%
Lowercase Letter
ValueCountFrequency (%)
n 2
11.8%
p 2
11.8%
k 2
11.8%
e 2
11.8%
a 2
11.8%
s 1
5.9%
t 1
5.9%
c 1
5.9%
f 1
5.9%
g 1
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
1 4432
30.3%
0 1571
 
10.7%
2 1476
 
10.1%
3 1331
 
9.1%
4 1073
 
7.3%
5 1063
 
7.3%
6 997
 
6.8%
7 991
 
6.8%
9 845
 
5.8%
8 842
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 1931
99.3%
/ 6
 
0.3%
@ 6
 
0.3%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
13867
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3030
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3030
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 195
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51074
58.1%
Common 36693
41.7%
Latin 139
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 6191
 
12.1%
구 3256
 
6.4%
강 3153
 
6.2%
시 2988
 
5.9%
서 2951
 
5.8%
울 2950
 
5.8%
별 2937
 
5.8%
특 2936
 
5.7%
로 2885
 
5.6%
길 2133
 
4.2%
Other values (299) 18694
36.6%
Latin
ValueCountFrequency (%)
B 33
23.7%
A 19
13.7%
K 12
 
8.6%
D 7
 
5.0%
S 6
 
4.3%
P 6
 
4.3%
I 5
 
3.6%
C 4
 
2.9%
X 4
 
2.9%
L 4
 
2.9%
Other values (22) 39
28.1%
Common
ValueCountFrequency (%)
13867
37.8%
1 4432
 
12.1%
) 3030
 
8.3%
( 3030
 
8.3%
, 1931
 
5.3%
0 1571
 
4.3%
2 1476
 
4.0%
3 1331
 
3.6%
4 1073
 
2.9%
5 1063
 
2.9%
Other values (9) 3889
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51074
58.1%
ASCII 36832
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13867
37.6%
1 4432
 
12.0%
) 3030
 
8.2%
( 3030
 
8.2%
, 1931
 
5.2%
0 1571
 
4.3%
2 1476
 
4.0%
3 1331
 
3.6%
4 1073
 
2.9%
5 1063
 
2.9%
Other values (41) 4028
 
10.9%
Hangul
ValueCountFrequency (%)
동 6191
 
12.1%
구 3256
 
6.4%
강 3153
 
6.2%
시 2988
 
5.9%
서 2951
 
5.8%
울 2950
 
5.8%
별 2937
 
5.8%
특 2936
 
5.7%
로 2885
 
5.6%
길 2133
 
4.2%
Other values (299) 18694
36.6%

도로명우편번호
Text

MISSING 

Distinct320
Distinct (%)26.3%
Missing2221
Missing (%)64.6%
Memory size27.0 KiB
2024-04-06T21:52:54.425249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3481481
Min length5

Characters and Unicode

Total characters6498
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

Unique82 ?
Unique (%)6.7%

Sample

1st row05364
2nd row134809
3rd row05269
4th row05411
5th row05334
ValueCountFrequency (%)
05248 16
 
1.3%
05328 15
 
1.2%
134867 14
 
1.2%
134840 12
 
1.0%
05303 12
 
1.0%
134859 12
 
1.0%
05353 12
 
1.0%
05309 11
 
0.9%
05335 11
 
0.9%
05269 11
 
0.9%
Other values (310) 1089
89.6%
2024-04-06T21:52:55.506279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1139
17.5%
5 1098
16.9%
3 1050
16.2%
4 731
11.2%
1 654
10.1%
2 571
8.8%
8 509
7.8%
6 278
 
4.3%
7 222
 
3.4%
9 197
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6449
99.2%
Dash Punctuation 49
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1139
17.7%
5 1098
17.0%
3 1050
16.3%
4 731
11.3%
1 654
10.1%
2 571
8.9%
8 509
7.9%
6 278
 
4.3%
7 222
 
3.4%
9 197
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6498
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1139
17.5%
5 1098
16.9%
3 1050
16.2%
4 731
11.2%
1 654
10.1%
2 571
8.8%
8 509
7.8%
6 278
 
4.3%
7 222
 
3.4%
9 197
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6498
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1139
17.5%
5 1098
16.9%
3 1050
16.2%
4 731
11.2%
1 654
10.1%
2 571
8.8%
8 509
7.8%
6 278
 
4.3%
7 222
 
3.4%
9 197
 
3.0%

사업장명
Text

Distinct2697
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
2024-04-06T21:52:56.236528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length7.1947031
Min length1

Characters and Unicode

Total characters24721
Distinct characters616
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2289 ?
Unique (%)66.6%

Sample

1st row덕신의류
2nd row경일식품
3rd row삼현슈퍼
4th row서식문구
5th row여주식품
ValueCountFrequency (%)
gs25 153
 
3.4%
씨유 124
 
2.7%
세븐일레븐 84
 
1.8%
지에스(gs)25 62
 
1.4%
주)코리아세븐 45
 
1.0%
미니스톱 39
 
0.9%
지에스25 37
 
0.8%
이마트24 29
 
0.6%
훼미리마트 26
 
0.6%
현대슈퍼 21
 
0.5%
Other values (2646) 3927
86.4%
2024-04-06T21:52:57.087495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1117
 
4.5%
점 1105
 
4.5%
마 747
 
3.0%
트 745
 
3.0%
동 609
 
2.5%
퍼 567
 
2.3%
슈 538
 
2.2%
2 504
 
2.0%
5 464
 
1.9%
스 457
 
1.8%
Other values (606) 17868
72.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20359
82.4%
Uppercase Letter 1169
 
4.7%
Decimal Number 1137
 
4.6%
Space Separator 1117
 
4.5%
Open Punctuation 394
 
1.6%
Close Punctuation 394
 
1.6%
Lowercase Letter 118
 
0.5%
Other Punctuation 15
 
0.1%
Dash Punctuation 14
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1105
 
5.4%
마 747
 
3.7%
트 745
 
3.7%
동 609
 
3.0%
퍼 567
 
2.8%
슈 538
 
2.6%
스 457
 
2.2%
사 437
 
2.1%
일 434
 
2.1%
성 416
 
2.0%
Other values (543) 14304
70.3%
Uppercase Letter
ValueCountFrequency (%)
S 389
33.3%
G 374
32.0%
C 98
 
8.4%
U 90
 
7.7%
K 33
 
2.8%
A 24
 
2.1%
I 18
 
1.5%
O 16
 
1.4%
L 16
 
1.4%
B 15
 
1.3%
Other values (14) 96
 
8.2%
Lowercase Letter
ValueCountFrequency (%)
a 22
18.6%
n 12
10.2%
t 9
 
7.6%
y 8
 
6.8%
i 8
 
6.8%
r 7
 
5.9%
o 7
 
5.9%
d 6
 
5.1%
e 6
 
5.1%
g 5
 
4.2%
Other values (9) 28
23.7%
Decimal Number
ValueCountFrequency (%)
2 504
44.3%
5 464
40.8%
4 63
 
5.5%
1 26
 
2.3%
3 23
 
2.0%
6 20
 
1.8%
9 14
 
1.2%
8 11
 
1.0%
0 7
 
0.6%
7 5
 
0.4%
Other Punctuation
ValueCountFrequency (%)
& 9
60.0%
, 4
26.7%
. 1
 
6.7%
? 1
 
6.7%
Space Separator
ValueCountFrequency (%)
1117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 394
100.0%
Close Punctuation
ValueCountFrequency (%)
) 394
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20360
82.4%
Common 3074
 
12.4%
Latin 1287
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1105
 
5.4%
마 747
 
3.7%
트 745
 
3.7%
동 609
 
3.0%
퍼 567
 
2.8%
슈 538
 
2.6%
스 457
 
2.2%
사 437
 
2.1%
일 434
 
2.1%
성 416
 
2.0%
Other values (544) 14305
70.3%
Latin
ValueCountFrequency (%)
S 389
30.2%
G 374
29.1%
C 98
 
7.6%
U 90
 
7.0%
K 33
 
2.6%
A 24
 
1.9%
a 22
 
1.7%
I 18
 
1.4%
O 16
 
1.2%
L 16
 
1.2%
Other values (33) 207
16.1%
Common
ValueCountFrequency (%)
1117
36.3%
2 504
16.4%
5 464
15.1%
( 394
 
12.8%
) 394
 
12.8%
4 63
 
2.0%
1 26
 
0.8%
3 23
 
0.7%
6 20
 
0.7%
- 14
 
0.5%
Other values (9) 55
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20359
82.4%
ASCII 4361
 
17.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1117
25.6%
2 504
11.6%
5 464
10.6%
( 394
 
9.0%
) 394
 
9.0%
S 389
 
8.9%
G 374
 
8.6%
C 98
 
2.2%
U 90
 
2.1%
4 63
 
1.4%
Other values (52) 474
10.9%
Hangul
ValueCountFrequency (%)
점 1105
 
5.4%
마 747
 
3.7%
트 745
 
3.7%
동 609
 
3.0%
퍼 567
 
2.8%
슈 538
 
2.6%
스 457
 
2.2%
사 437
 
2.1%
일 434
 
2.1%
성 416
 
2.0%
Other values (543) 14304
70.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

Distinct2873
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
Minimum2007-07-05 21:49:56
Maximum2024-04-03 16:26:18
2024-04-06T21:52:57.421666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:57.827620image/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 size27.0 KiB
I
2337 
U
1099 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2337
68.0%
U 1099
32.0%

Length

2024-04-06T21:52:58.088402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:52:58.286291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2337
68.0%
u 1099
32.0%

데이터갱신일자
Date

Distinct457
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-06T21:52:58.514193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:52:58.847204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3436
Missing (%)100.0%
Memory size30.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1493
Distinct (%)47.8%
Missing311
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean212197.58
Minimum210185.83
Maximum216076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-04-06T21:52:59.276774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210185.83
5-th percentile210846.43
Q1211347.08
median211915.89
Q3212624.89
95-th percentile215025.57
Maximum216076.82
Range5890.9969
Interquartile range (IQR)1277.8086

Descriptive statistics

Standard deviation1187.8554
Coefficient of variation (CV)0.0055978744
Kurtosis1.200928
Mean212197.58
Median Absolute Deviation (MAD)626.44584
Skewness1.2935144
Sum6.6311745 × 108
Variance1411000.5
MonotonicityNot monotonic
2024-04-06T21:52:59.736455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
212195.109947109 14
 
0.4%
211176.084703491 13
 
0.4%
211979.520569314 12
 
0.3%
211307.758291641 11
 
0.3%
211122.336085013 10
 
0.3%
212485.186602827 10
 
0.3%
212312.010247116 10
 
0.3%
210987.808774188 9
 
0.3%
212462.49701258 9
 
0.3%
210871.293674366 9
 
0.3%
Other values (1483) 3018
87.8%
(Missing) 311
 
9.1%
ValueCountFrequency (%)
210185.825916808 1
 
< 0.1%
210268.695726798 2
0.1%
210480.767564873 4
0.1%
210521.84184835 1
 
< 0.1%
210566.875626134 2
0.1%
210599.252168998 1
 
< 0.1%
210626.786005174 1
 
< 0.1%
210630.209443525 1
 
< 0.1%
210632.575128544 2
0.1%
210636.447352415 2
0.1%
ValueCountFrequency (%)
216076.822850039 2
 
0.1%
216029.388021 4
0.1%
215927.688523964 2
 
0.1%
215901.594590118 1
 
< 0.1%
215898.113091143 3
0.1%
215888.898816 2
 
0.1%
215875.024969 1
 
< 0.1%
215813.845000382 1
 
< 0.1%
215784.2264 5
0.1%
215771.282058547 1
 
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1493
Distinct (%)47.8%
Missing311
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean448922.54
Minimum446408.47
Maximum456094.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-04-06T21:53:00.055652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446408.47
5-th percentile447213.55
Q1448048.25
median448835.38
Q3449750.69
95-th percentile450933.29
Maximum456094.48
Range9686.0093
Interquartile range (IQR)1702.4399

Descriptive statistics

Standard deviation1149.6402
Coefficient of variation (CV)0.0025608876
Kurtosis0.13325759
Mean448922.54
Median Absolute Deviation (MAD)855.26385
Skewness0.40611519
Sum1.4028829 × 109
Variance1321672.5
MonotonicityNot monotonic
2024-04-06T21:53:00.428829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447197.273286818 14
 
0.4%
448449.888935391 13
 
0.4%
446932.653730601 12
 
0.3%
448241.363344005 11
 
0.3%
448641.392175021 10
 
0.3%
448448.530576361 10
 
0.3%
449790.850029957 10
 
0.3%
448479.488202243 9
 
0.3%
448382.246068961 9
 
0.3%
448421.092547965 9
 
0.3%
Other values (1483) 3018
87.8%
(Missing) 311
 
9.1%
ValueCountFrequency (%)
446408.470922092 2
 
0.1%
446598.591776331 4
0.1%
446680.303498539 3
0.1%
446748.493341691 2
 
0.1%
446784.488188771 1
 
< 0.1%
446810.814080816 7
0.2%
446817.640555401 6
0.2%
446827.961587557 1
 
< 0.1%
446830.533862009 3
0.1%
446833.993029127 1
 
< 0.1%
ValueCountFrequency (%)
456094.480245944 1
 
< 0.1%
452822.85769148 1
 
< 0.1%
452787.937839296 1
 
< 0.1%
452745.868992338 1
 
< 0.1%
452309.711718 5
0.1%
452305.723682264 2
 
0.1%
452269.014454429 1
 
< 0.1%
452213.416817557 1
 
< 0.1%
452195.587817951 2
 
0.1%
452130.329696 5
0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct1509
Distinct (%)72.7%
Missing1361
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean20087200
Minimum19750521
Maximum20210901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.3 KiB
2024-04-06T21:53:00.713590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19750521
5-th percentile19981030
Q120051020
median20090923
Q320130912
95-th percentile20180114
Maximum20210901
Range460380
Interquartile range (IQR)79891.5

Descriptive statistics

Standard deviation62760.984
Coefficient of variation (CV)0.0031244268
Kurtosis1.4507863
Mean20087200
Median Absolute Deviation (MAD)39913
Skewness-0.84844061
Sum4.1680939 × 1010
Variance3.9389412 × 109
MonotonicityNot monotonic
2024-04-06T21:53:01.017272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19981126 9
 
0.3%
19981211 8
 
0.2%
20080616 6
 
0.2%
19981214 6
 
0.2%
19981217 6
 
0.2%
20151020 6
 
0.2%
20070411 6
 
0.2%
20061124 5
 
0.1%
19981215 5
 
0.1%
20090818 4
 
0.1%
Other values (1499) 2014
58.6%
(Missing) 1361
39.6%
ValueCountFrequency (%)
19750521 1
< 0.1%
19750808 1
< 0.1%
19811112 1
< 0.1%
19820407 1
< 0.1%
19820810 1
< 0.1%
19821118 1
< 0.1%
19830615 1
< 0.1%
19840101 1
< 0.1%
19841011 1
< 0.1%
19860128 1
< 0.1%
ValueCountFrequency (%)
20210901 1
< 0.1%
20201127 1
< 0.1%
20200904 1
< 0.1%
20200605 1
< 0.1%
20200508 1
< 0.1%
20200420 1
< 0.1%
20200319 1
< 0.1%
20200317 1
< 0.1%
20190904 1
< 0.1%
20190711 2
0.1%

민원종류명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.0 KiB
<NA>
1361 
2009년11월법개정전자료
1047 
제7조의3제2항에따른경우
857 
제7조의3제3항에따른경우
171 

Length

Max length14
Median length13
Mean length9.7398137
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2009년11월법개정전자료
2nd row2009년11월법개정전자료
3rd row2009년11월법개정전자료
4th row2009년11월법개정전자료
5th row2009년11월법개정전자료

Common Values

ValueCountFrequency (%)
<NA> 1361
39.6%
2009년11월법개정전자료 1047
30.5%
제7조의3제2항에따른경우 857
24.9%
제7조의3제3항에따른경우 171
 
5.0%

Length

2024-04-06T21:53:01.336996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:53:01.592722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1361
39.6%
2009년11월법개정전자료 1047
30.5%
제7조의3제2항에따른경우 857
24.9%
제7조의3제3항에따른경우 171
 
5.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
03240000197532401060561800519750521<NA>3폐업2폐업처리20151126<NA><NA><NA>4766027<NA><NA>서울특별시 강동구 길동 360번지 8 호서울특별시 강동구 명일로17길 48 (길동)<NA>덕신의류2015-11-26 15:26:38I2018-08-31 23:59:59.0<NA>212636.855597448533.925025197505212009년11월법개정전자료
13240000197532401060562101519750808<NA>3폐업2폐업처리20130419<NA><NA><NA>4860430<NA><NA>서울특별시 강동구 둔촌동 87번지 7 호서울특별시 강동구 진황도로 179 (둔촌동)<NA>경일식품2013-04-19 17:48:38I2018-08-31 23:59:59.0<NA>212564.660855447560.771617197508082009년11월법개정전자료
23240000198132401390560000119811112<NA>3폐업2폐업처리19860630<NA><NA><NA>487-6159<NA>134862서울특별시 강동구 천호3동 52번지 15호서울특별시 강동구 양재대로121길 13 (천호동)<NA>삼현슈퍼2011-02-28 10:34:34I2018-08-31 23:59:59.0<NA>212367.436951448910.259595198111122009년11월법개정전자료
33240000198232401060561501419821118201908024취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>4838959<NA><NA>서울특별시 강동구 성내동 319번지 27 호서울특별시 강동구 성내로3길 1 (성내동)<NA>서식문구2019-08-02 14:35:04U2019-08-04 02:40:00.0<NA>210708.395291447606.672799198211182009년11월법개정전자료
43240000198232401060561602519820810202104204취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>4732823<NA><NA>서울특별시 강동구 성내동 77번지 2 호서울특별시 강동구 천호옛17길 31 (성내동)<NA>여주식품2021-04-20 18:01:25U2021-04-22 02:40:00.0<NA>210908.11752448369.33378198208102009년11월법개정전자료
53240000198332401060561805319830615<NA>3폐업2폐업처리20070917<NA><NA><NA>4832412<NA><NA>서울특별시 강동구 길동 413번지 10 호서울특별시 강동구 천호대로177길 48 (길동)<NA>대성상회2007-09-17 18:22:54I2018-08-31 23:59:59.0<NA>212142.552926448271.119156198306152009년11월법개정전자료
63240000198432401060560101019840615<NA>4취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>4291657<NA><NA>서울특별시 강동구 강일동 362번지 168호<NA><NA>새한지물포2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>215730.745502451764.983799<NA><NA>
73240000198432401060560502119840101<NA>3폐업2폐업처리20150402<NA><NA><NA>4274333<NA><NA>서울특별시 강동구 고덕동 212호 주공@2단지상가14호<NA><NA>중앙슈퍼2015-04-02 16:35:45I2018-08-31 23:59:59.0<NA>214687.925331450626.949693198401012009년11월법개정전자료
83240000198432401060560700619841011<NA>3폐업2폐업처리20150803<NA><NA><NA>4421708<NA><NA>서울특별시 강동구 암사동 489번지 56 호서울특별시 강동구 상암로21길 12 (암사동)<NA>홍천슈퍼2015-08-03 16:59:09I2018-08-31 23:59:59.0<NA>211715.23973449555.371908198410112009년11월법개정전자료
93240000198432401060562000319840825<NA>3폐업2폐업처리20060406<NA><NA><NA>4738583<NA><NA>서울특별시 강동구 둔촌동 172번지 1호 종합상가 가동 129호서울특별시 강동구 명일로 74 (둔촌동,종합상가 가동 129호)<NA>삼천사2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>211979.520569446932.653731<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
3426324000020243240289056000062024-02-16<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 310-28서울특별시 강동구 구천면로41길 87, 1층 (천호동)05322지에스(GS)25 천호하이츠점2024-02-20 11:05:54U2023-12-01 22:02:00.0<NA>211377.566847449530.991541<NA><NA>
3427324000020243240289056000072024-02-20<NA>1영업/정상0정상영업<NA>2024-02-282024-03-28<NA><NA><NA><NA>서울특별시 강동구 길동 157 반석서울특별시 강동구 천호대로199길 83, 반석 1층 (길동)05345지에스(GS)25길동자이스타점2024-03-28 17:02:29U2023-12-02 21:01:00.0<NA>213012.252484448675.931119<NA><NA>
3428324000020243240289056000082024-02-20<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 99-3서울특별시 강동구 명일로 244, 1층 2호 (길동)05345으뜸복권방2024-02-20 16:47:52I2023-12-01 22:02:00.0<NA>212934.846303448700.657416<NA><NA>
3429324000020243240289056000092024-02-21<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 강일동 91 강동리버스트7단지서울특별시 강동구 아리수로93가길 70, 104, 105호 (강일동, 강동리버스트7단지)05415씨유 강일리버스트점2024-02-21 15:33:35I2023-12-01 22:03:00.0<NA>215278.711933452052.025388<NA><NA>
3430324000020243240289056000102024-03-12<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 609 천호역 효성해링턴타워 A-7,8호서울특별시 강동구 올림픽로 610, 1층 A-7,8호 (성내동, 천호역 효성해링턴타워)05385지에스25 천호해링턴2024-03-12 13:28:16I2023-12-02 23:04:00.0<NA><NA><NA><NA><NA>
3431324000020243240289056000112024-03-13<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 고덕동 136 고덕풍경채어바니티근린생활시설 101호서울특별시 강동구 아리수로 375, 1동 101호 (고덕동, 고덕풍경채어바니티)05206씨유 고덕풍경채점2024-03-13 14:05:49I2023-12-02 23:06:00.0<NA>214895.687626451187.453319<NA><NA>
3432324000020243240289056000122024-03-13<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 강일동 668 강일리버파크2단지아파트 101호서울특별시 강동구 아리수로97길 68, 101호 (강일동, 강일리버파크2단지아파트)05208지에스25(GS)강일타운점2024-03-13 14:06:06I2023-12-02 23:06:00.0<NA>215502.593611451912.59509<NA><NA>
3433324000020243240289056000132024-03-15<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 강일동 673 강일리버파크4단지아파트 상가서울특별시 강동구 아리수로97길 19, 101, 102호 (강일동, 강일리버파크4단지아파트)05210지에스(GS)25 강일4단지점2024-03-15 15:02:09I2023-12-02 23:07:00.0<NA>215505.695375451683.180261<NA><NA>
3434324000020243240289056000142024-03-28<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 455 천호역서울특별시 강동구 천호대로 지하997, 천호역 지하1층 124호 (천호동)05248지에스25 S5천호메트로점2024-03-28 11:13:55I2023-12-02 21:01:00.0<NA>210987.808774448479.488202<NA><NA>
3435324000020243240289056000152024-04-01<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 313-4서울특별시 강동구 올림픽로88길 36, 1층 (천호동)05323지에스(GS)25강동천일점2024-04-01 11:15:00I2023-12-04 00:03:00.0<NA>211266.755126449326.631398<NA><NA>