Overview

Dataset statistics

Number of variables27
Number of observations2436
Missing cells20434
Missing cells (%)31.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory540.1 KiB
Average record size in memory227.1 B

Variable types

Categorical7
Text6
DateTime6
Unsupported3
Numeric5

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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-19911/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 2145 (88.1%) missing valuesMissing
폐업일자 has 720 (29.6%) missing valuesMissing
휴업시작일자 has 2395 (98.3%) missing valuesMissing
휴업종료일자 has 2395 (98.3%) missing valuesMissing
재개업일자 has 2436 (100.0%) missing valuesMissing
전화번호 has 738 (30.3%) missing valuesMissing
소재지면적 has 2436 (100.0%) missing valuesMissing
소재지우편번호 has 1909 (78.4%) missing valuesMissing
지번주소 has 128 (5.3%) missing valuesMissing
도로명주소 has 240 (9.9%) missing valuesMissing
도로명우편번호 has 1494 (61.3%) missing valuesMissing
업태구분명 has 2436 (100.0%) missing valuesMissing
좌표정보(X) has 111 (4.6%) missing valuesMissing
좌표정보(Y) has 111 (4.6%) missing valuesMissing
지정일자 has 740 (30.4%) 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 13:43:41.209920
Analysis finished2024-04-06 13:43:42.148801
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
3090000
2436 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 2436
100.0%

Length

2024-04-06T22:43:42.199871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:43:42.274244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 2436
100.0%

관리번호
Text

UNIQUE 

Distinct2436
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2024-04-06T22:43:42.421953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters46284
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

Unique2436 ?
Unique (%)100.0%

Sample

1st row1981309008705614052
2nd row1983309008705600001
3rd row1984309013405600001
4th row1985309008705615020
5th row1988309008705610026
ValueCountFrequency (%)
1981309008705614052 1
 
< 0.1%
2010309010505600074 1
 
< 0.1%
2010309010505600083 1
 
< 0.1%
2010309010505600068 1
 
< 0.1%
2010309010505600069 1
 
< 0.1%
2010309010505600070 1
 
< 0.1%
2010309010505600071 1
 
< 0.1%
2010309010505600072 1
 
< 0.1%
2010309010505600073 1
 
< 0.1%
2010309010505600076 1
 
< 0.1%
Other values (2427) 2427
99.6%
2024-04-06T22:43:42.715300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18582
40.1%
5 4268
 
9.2%
1 4144
 
9.0%
9 3898
 
8.4%
3 3656
 
7.9%
2 3477
 
7.5%
6 3111
 
6.7%
8 2026
 
4.4%
7 1958
 
4.2%
4 1163
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46283
> 99.9%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18582
40.1%
5 4268
 
9.2%
1 4144
 
9.0%
9 3898
 
8.4%
3 3656
 
7.9%
2 3477
 
7.5%
6 3111
 
6.7%
8 2026
 
4.4%
7 1958
 
4.2%
4 1163
 
2.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46284
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18582
40.1%
5 4268
 
9.2%
1 4144
 
9.0%
9 3898
 
8.4%
3 3656
 
7.9%
2 3477
 
7.5%
6 3111
 
6.7%
8 2026
 
4.4%
7 1958
 
4.2%
4 1163
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46284
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18582
40.1%
5 4268
 
9.2%
1 4144
 
9.0%
9 3898
 
8.4%
3 3656
 
7.9%
2 3477
 
7.5%
6 3111
 
6.7%
8 2026
 
4.4%
7 1958
 
4.2%
4 1163
 
2.5%

인허가일자
Text

Distinct1731
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2024-04-06T22:43:42.978143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0812808
Min length8

Characters and Unicode

Total characters19686
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

Unique1261 ?
Unique (%)51.8%

Sample

1st row19810902
2nd row19830103
3rd row19840306
4th row1985
5th row19930911
ValueCountFrequency (%)
19981208 34
 
1.4%
19981210 32
 
1.3%
20011229 11
 
0.5%
19981212 9
 
0.4%
20050302 9
 
0.4%
20041013 7
 
0.3%
20030617 6
 
0.2%
20030211 6
 
0.2%
19981116 5
 
0.2%
20030117 5
 
0.2%
Other values (1721) 2312
94.9%
2024-04-06T22:43:43.365368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6273
31.9%
2 3909
19.9%
1 3644
18.5%
9 1428
 
7.3%
3 825
 
4.2%
8 774
 
3.9%
5 648
 
3.3%
4 642
 
3.3%
7 641
 
3.3%
6 618
 
3.1%
Other values (2) 284
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19402
98.6%
Dash Punctuation 198
 
1.0%
Space Separator 86
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6273
32.3%
2 3909
20.1%
1 3644
18.8%
9 1428
 
7.4%
3 825
 
4.3%
8 774
 
4.0%
5 648
 
3.3%
4 642
 
3.3%
7 641
 
3.3%
6 618
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%
Space Separator
ValueCountFrequency (%)
86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19686
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6273
31.9%
2 3909
19.9%
1 3644
18.5%
9 1428
 
7.3%
3 825
 
4.2%
8 774
 
3.9%
5 648
 
3.3%
4 642
 
3.3%
7 641
 
3.3%
6 618
 
3.1%
Other values (2) 284
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19686
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6273
31.9%
2 3909
19.9%
1 3644
18.5%
9 1428
 
7.3%
3 825
 
4.2%
8 774
 
3.9%
5 648
 
3.3%
4 642
 
3.3%
7 641
 
3.3%
6 618
 
3.1%
Other values (2) 284
 
1.4%

인허가취소일자
Date

MISSING 

Distinct77
Distinct (%)26.5%
Missing2145
Missing (%)88.1%
Memory size19.2 KiB
Minimum2001-09-25 00:00:00
Maximum2023-11-13 00:00:00
2024-04-06T22:43:43.497622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:43:43.618237image/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 size19.2 KiB
3
1716 
1
420 
4
297 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 1716
70.4%
1 420
 
17.2%
4 297
 
12.2%
2 3
 
0.1%

Length

2024-04-06T22:43:43.732881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:43:43.814525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 1716
70.4%
1 420
 
17.2%
4 297
 
12.2%
2 3
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
폐업
1716 
영업/정상
420 
취소/말소/만료/정지/중지
297 
휴업
 
3

Length

Max length14
Median length2
Mean length3.9802956
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 1716
70.4%
영업/정상 420
 
17.2%
취소/말소/만료/정지/중지 297
 
12.2%
휴업 3
 
0.1%

Length

2024-04-06T22:43:43.907899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:43:43.995398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 1716
70.4%
영업/정상 420
 
17.2%
취소/말소/만료/정지/중지 297
 
12.2%
휴업 3
 
0.1%

상세영업상태코드
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2
1716 
0
420 
5
238 
3
 
59
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 1716
70.4%
0 420
 
17.2%
5 238
 
9.8%
3 59
 
2.4%
1 3
 
0.1%

Length

2024-04-06T22:43:44.086433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:43:44.171869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 1716
70.4%
0 420
 
17.2%
5 238
 
9.8%
3 59
 
2.4%
1 3
 
0.1%

상세영업상태명
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
폐업처리
1716 
정상영업
420 
지정취소
238 
직권취소
 
59
휴업처리
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 1716
70.4%
정상영업 420
 
17.2%
지정취소 238
 
9.8%
직권취소 59
 
2.4%
휴업처리 3
 
0.1%

Length

2024-04-06T22:43:44.266336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:43:44.350182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 1716
70.4%
정상영업 420
 
17.2%
지정취소 238
 
9.8%
직권취소 59
 
2.4%
휴업처리 3
 
0.1%

폐업일자
Date

MISSING 

Distinct1406
Distinct (%)81.9%
Missing720
Missing (%)29.6%
Memory size19.2 KiB
Minimum2001-09-11 00:00:00
Maximum2024-03-29 00:00:00
2024-04-06T22:43:44.452661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:43:44.575646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct35
Distinct (%)85.4%
Missing2395
Missing (%)98.3%
Memory size19.2 KiB
Minimum2008-08-29 00:00:00
Maximum2024-02-21 00:00:00
2024-04-06T22:43:44.693129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:43:44.806379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

휴업종료일자
Date

MISSING 

Distinct36
Distinct (%)87.8%
Missing2395
Missing (%)98.3%
Memory size19.2 KiB
Minimum2008-11-28 00:00:00
Maximum2024-07-31 00:00:00
2024-04-06T22:43:44.910832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:43:45.014422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2436
Missing (%)100.0%
Memory size21.5 KiB

전화번호
Text

MISSING 

Distinct1457
Distinct (%)85.8%
Missing738
Missing (%)30.3%
Memory size19.2 KiB
2024-04-06T22:43:45.214077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9.9399293
Min length2

Characters and Unicode

Total characters16878
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

Unique1278 ?
Unique (%)75.3%

Sample

1st row02 9555507
2nd row000000000000
3rd row02 9056197
4th row02 9929832
5th row00000000 000
ValueCountFrequency (%)
02 870
33.7%
9669856 9
 
0.3%
000 6
 
0.2%
9036064 5
 
0.2%
9951337 5
 
0.2%
9551465 4
 
0.2%
9987876 4
 
0.2%
9296886 4
 
0.2%
9973319 4
 
0.2%
9939847 4
 
0.2%
Other values (1447) 1666
64.5%
2024-04-06T22:43:45.539190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2858
16.9%
9 2804
16.6%
2 2254
13.4%
5 1384
8.2%
3 1220
7.2%
4 1207
7.2%
1 904
 
5.4%
885
 
5.2%
- 885
 
5.2%
6 856
 
5.1%
Other values (3) 1621
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15107
89.5%
Space Separator 885
 
5.2%
Dash Punctuation 885
 
5.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2858
18.9%
9 2804
18.6%
2 2254
14.9%
5 1384
9.2%
3 1220
8.1%
4 1207
8.0%
1 904
 
6.0%
6 856
 
5.7%
7 820
 
5.4%
8 800
 
5.3%
Space Separator
ValueCountFrequency (%)
885
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 885
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16878
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2858
16.9%
9 2804
16.6%
2 2254
13.4%
5 1384
8.2%
3 1220
7.2%
4 1207
7.2%
1 904
 
5.4%
885
 
5.2%
- 885
 
5.2%
6 856
 
5.1%
Other values (3) 1621
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16878
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2858
16.9%
9 2804
16.6%
2 2254
13.4%
5 1384
8.2%
3 1220
7.2%
4 1207
7.2%
1 904
 
5.4%
885
 
5.2%
- 885
 
5.2%
6 856
 
5.1%
Other values (3) 1621
9.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2436
Missing (%)100.0%
Memory size21.5 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct130
Distinct (%)24.7%
Missing1909
Missing (%)78.4%
Infinite0
Infinite (%)0.0%
Mean132632.7
Minimum132010
Maximum132959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-06T22:43:45.675460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum132010
5-th percentile132012
Q1132042
median132828
Q3132890
95-th percentile132924
Maximum132959
Range949
Interquartile range (IQR)848

Descriptive statistics

Standard deviation371.97533
Coefficient of variation (CV)0.0028045521
Kurtosis-0.96548462
Mean132632.7
Median Absolute Deviation (MAD)70
Skewness-0.98628162
Sum69897435
Variance138365.65
MonotonicityNot monotonic
2024-04-06T22:43:45.801605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132040 20
 
0.8%
132021 19
 
0.8%
132821 15
 
0.6%
132863 13
 
0.5%
132820 13
 
0.5%
132822 12
 
0.5%
132854 11
 
0.5%
132012 11
 
0.5%
132917 11
 
0.5%
132924 10
 
0.4%
Other values (120) 392
 
16.1%
(Missing) 1909
78.4%
ValueCountFrequency (%)
132010 10
0.4%
132011 8
0.3%
132012 11
0.5%
132020 6
 
0.2%
132021 19
0.8%
132022 4
 
0.2%
132023 4
 
0.2%
132030 9
0.4%
132031 9
0.4%
132032 4
 
0.2%
ValueCountFrequency (%)
132959 1
 
< 0.1%
132952 1
 
< 0.1%
132951 1
 
< 0.1%
132935 1
 
< 0.1%
132932 5
0.2%
132928 1
 
< 0.1%
132927 3
 
0.1%
132926 5
0.2%
132925 3
 
0.1%
132924 10
0.4%

지번주소
Text

MISSING 

Distinct1979
Distinct (%)85.7%
Missing128
Missing (%)5.3%
Memory size19.2 KiB
2024-04-06T22:43:46.074332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length41
Mean length24.769931
Min length13

Characters and Unicode

Total characters57169
Distinct characters282
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

Unique1715 ?
Unique (%)74.3%

Sample

1st row서울특별시 도봉구 도봉동 250번지 16 호
2nd row서울특별시 도봉구 도봉동 598번지 1 호
3rd row서울특별시 도봉구 창동 550번지 22호
4th row서울특별시 도봉구 도봉동 625번지 21 호
5th row서울특별시 도봉구 창동 578번지 9호
ValueCountFrequency (%)
서울특별시 2306
18.6%
도봉구 2301
18.6%
창동 617
 
5.0%
방학동 500
 
4.0%
쌍문동 481
 
3.9%
호 459
 
3.7%
도봉동 394
 
3.2%
1호 144
 
1.2%
1층 105
 
0.8%
2호 55
 
0.4%
Other values (1428) 5005
40.5%
2024-04-06T22:43:46.509370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11643
20.4%
도 2815
 
4.9%
봉 2812
 
4.9%
동 2449
 
4.3%
시 2335
 
4.1%
구 2331
 
4.1%
서 2324
 
4.1%
울 2316
 
4.1%
특 2306
 
4.0%
별 2306
 
4.0%
Other values (272) 23532
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34080
59.6%
Space Separator 11643
 
20.4%
Decimal Number 11042
 
19.3%
Dash Punctuation 176
 
0.3%
Uppercase Letter 109
 
0.2%
Other Punctuation 49
 
0.1%
Close Punctuation 27
 
< 0.1%
Open Punctuation 27
 
< 0.1%
Lowercase Letter 10
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2815
 
8.3%
봉 2812
 
8.3%
동 2449
 
7.2%
시 2335
 
6.9%
구 2331
 
6.8%
서 2324
 
6.8%
울 2316
 
6.8%
특 2306
 
6.8%
별 2306
 
6.8%
지 2061
 
6.0%
Other values (230) 10025
29.4%
Uppercase Letter
ValueCountFrequency (%)
A 23
21.1%
E 20
18.3%
S 18
16.5%
B 9
 
8.3%
G 7
 
6.4%
R 6
 
5.5%
L 5
 
4.6%
K 4
 
3.7%
Q 3
 
2.8%
I 3
 
2.8%
Other values (7) 11
10.1%
Decimal Number
ValueCountFrequency (%)
1 2096
19.0%
6 1405
12.7%
2 1297
11.7%
3 1154
10.5%
5 1119
10.1%
4 918
8.3%
0 903
8.2%
7 884
8.0%
8 730
 
6.6%
9 536
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
b 3
30.0%
a 2
20.0%
s 2
20.0%
e 2
20.0%
i 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 34
69.4%
@ 13
 
26.5%
/ 1
 
2.0%
. 1
 
2.0%
Space Separator
ValueCountFrequency (%)
11643
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 176
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34083
59.6%
Common 22967
40.2%
Latin 119
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2815
 
8.3%
봉 2812
 
8.3%
동 2449
 
7.2%
시 2335
 
6.9%
구 2331
 
6.8%
서 2324
 
6.8%
울 2316
 
6.8%
특 2306
 
6.8%
별 2306
 
6.8%
지 2061
 
6.0%
Other values (231) 10028
29.4%
Latin
ValueCountFrequency (%)
A 23
19.3%
E 20
16.8%
S 18
15.1%
B 9
 
7.6%
G 7
 
5.9%
R 6
 
5.0%
L 5
 
4.2%
K 4
 
3.4%
Q 3
 
2.5%
b 3
 
2.5%
Other values (12) 21
17.6%
Common
ValueCountFrequency (%)
11643
50.7%
1 2096
 
9.1%
6 1405
 
6.1%
2 1297
 
5.6%
3 1154
 
5.0%
5 1119
 
4.9%
4 918
 
4.0%
0 903
 
3.9%
7 884
 
3.8%
8 730
 
3.2%
Other values (9) 818
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34080
59.6%
ASCII 23086
40.4%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11643
50.4%
1 2096
 
9.1%
6 1405
 
6.1%
2 1297
 
5.6%
3 1154
 
5.0%
5 1119
 
4.8%
4 918
 
4.0%
0 903
 
3.9%
7 884
 
3.8%
8 730
 
3.2%
Other values (31) 937
 
4.1%
Hangul
ValueCountFrequency (%)
도 2815
 
8.3%
봉 2812
 
8.3%
동 2449
 
7.2%
시 2335
 
6.9%
구 2331
 
6.8%
서 2324
 
6.8%
울 2316
 
6.8%
특 2306
 
6.8%
별 2306
 
6.8%
지 2061
 
6.0%
Other values (230) 10025
29.4%
None
ValueCountFrequency (%)
㈜ 3
100.0%

도로명주소
Text

MISSING 

Distinct1516
Distinct (%)69.0%
Missing240
Missing (%)9.9%
Memory size19.2 KiB
2024-04-06T22:43:46.793232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length55
Mean length28.463115
Min length21

Characters and Unicode

Total characters62505
Distinct characters281
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

Unique1120 ?
Unique (%)51.0%

Sample

1st row서울특별시 도봉구 도봉로167길 51 (도봉동)
2nd row서울특별시 도봉구 우이천로12길 7 (창동)
3rd row서울특별시 도봉구 마들로 721 (도봉동)
4th row서울특별시 도봉구 덕릉로59가길 53 (창동)
5th row서울특별시 도봉구 도봉로 777 (도봉동)
ValueCountFrequency (%)
서울특별시 2196
18.0%
도봉구 2196
18.0%
창동 572
 
4.7%
방학동 457
 
3.7%
쌍문동 443
 
3.6%
도봉동 401
 
3.3%
1층 329
 
2.7%
도봉로 170
 
1.4%
마들로 103
 
0.8%
해등로 86
 
0.7%
Other values (1231) 5255
43.0%
2024-04-06T22:43:47.283651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10015
 
16.0%
도 3666
 
5.9%
봉 3598
 
5.8%
1 2957
 
4.7%
동 2380
 
3.8%
시 2333
 
3.7%
구 2215
 
3.5%
서 2214
 
3.5%
) 2208
 
3.5%
( 2208
 
3.5%
Other values (271) 28711
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36203
57.9%
Decimal Number 10467
 
16.7%
Space Separator 10015
 
16.0%
Close Punctuation 2208
 
3.5%
Open Punctuation 2208
 
3.5%
Other Punctuation 1100
 
1.8%
Dash Punctuation 160
 
0.3%
Uppercase Letter 122
 
0.2%
Math Symbol 11
 
< 0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 3666
 
10.1%
봉 3598
 
9.9%
동 2380
 
6.6%
시 2333
 
6.4%
구 2215
 
6.1%
서 2214
 
6.1%
울 2207
 
6.1%
특 2196
 
6.1%
별 2196
 
6.1%
로 2145
 
5.9%
Other values (233) 11053
30.5%
Uppercase Letter
ValueCountFrequency (%)
A 27
22.1%
E 20
16.4%
S 16
13.1%
R 9
 
7.4%
B 7
 
5.7%
G 7
 
5.7%
P 7
 
5.7%
K 6
 
4.9%
T 6
 
4.9%
L 5
 
4.1%
Other values (5) 12
9.8%
Decimal Number
ValueCountFrequency (%)
1 2957
28.3%
2 1119
 
10.7%
0 1018
 
9.7%
3 997
 
9.5%
4 936
 
8.9%
6 917
 
8.8%
5 825
 
7.9%
7 628
 
6.0%
9 541
 
5.2%
8 529
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
a 3
37.5%
s 2
25.0%
e 2
25.0%
i 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 1085
98.6%
. 12
 
1.1%
@ 3
 
0.3%
Space Separator
ValueCountFrequency (%)
10015
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2208
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36206
57.9%
Common 26169
41.9%
Latin 130
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 3666
 
10.1%
봉 3598
 
9.9%
동 2380
 
6.6%
시 2333
 
6.4%
구 2215
 
6.1%
서 2214
 
6.1%
울 2207
 
6.1%
특 2196
 
6.1%
별 2196
 
6.1%
로 2145
 
5.9%
Other values (234) 11056
30.5%
Latin
ValueCountFrequency (%)
A 27
20.8%
E 20
15.4%
S 16
12.3%
R 9
 
6.9%
B 7
 
5.4%
G 7
 
5.4%
P 7
 
5.4%
K 6
 
4.6%
T 6
 
4.6%
L 5
 
3.8%
Other values (9) 20
15.4%
Common
ValueCountFrequency (%)
10015
38.3%
1 2957
 
11.3%
) 2208
 
8.4%
( 2208
 
8.4%
2 1119
 
4.3%
, 1085
 
4.1%
0 1018
 
3.9%
3 997
 
3.8%
4 936
 
3.6%
6 917
 
3.5%
Other values (8) 2709
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36203
57.9%
ASCII 26299
42.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10015
38.1%
1 2957
 
11.2%
) 2208
 
8.4%
( 2208
 
8.4%
2 1119
 
4.3%
, 1085
 
4.1%
0 1018
 
3.9%
3 997
 
3.8%
4 936
 
3.6%
6 917
 
3.5%
Other values (27) 2839
 
10.8%
Hangul
ValueCountFrequency (%)
도 3666
 
10.1%
봉 3598
 
9.9%
동 2380
 
6.6%
시 2333
 
6.4%
구 2215
 
6.1%
서 2214
 
6.1%
울 2207
 
6.1%
특 2196
 
6.1%
별 2196
 
6.1%
로 2145
 
5.9%
Other values (233) 11053
30.5%
None
ValueCountFrequency (%)
㈜ 3
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct269
Distinct (%)28.6%
Missing1494
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean32486.703
Minimum1300
Maximum132952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-06T22:43:47.415923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1300
5-th percentile1307
Q11352
median1414
Q31483.25
95-th percentile132906
Maximum132952
Range131652
Interquartile range (IQR)131.25

Descriptive statistics

Standard deviation55873.993
Coefficient of variation (CV)1.7199035
Kurtosis-0.46163872
Mean32486.703
Median Absolute Deviation (MAD)65
Skewness1.2406897
Sum30602474
Variance3.1219031 × 109
MonotonicityNot monotonic
2024-04-06T22:43:47.545553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1414 17
 
0.7%
1332 14
 
0.6%
1473 14
 
0.6%
1401 12
 
0.5%
1304 12
 
0.5%
1318 11
 
0.5%
1355 11
 
0.5%
1340 11
 
0.5%
132854 10
 
0.4%
1442 10
 
0.4%
Other values (259) 820
33.7%
(Missing) 1494
61.3%
ValueCountFrequency (%)
1300 2
 
0.1%
1301 7
0.3%
1302 5
0.2%
1303 8
0.3%
1304 12
0.5%
1305 7
0.3%
1306 4
 
0.2%
1307 9
0.4%
1308 5
0.2%
1309 5
0.2%
ValueCountFrequency (%)
132952 1
 
< 0.1%
132951 1
 
< 0.1%
132932 5
0.2%
132928 1
 
< 0.1%
132927 2
 
0.1%
132926 3
0.1%
132925 1
 
< 0.1%
132924 5
0.2%
132921 1
 
< 0.1%
132920 5
0.2%

사업장명
Text

Distinct1805
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2024-04-06T22:43:47.823217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length6.612069
Min length2

Characters and Unicode

Total characters16107
Distinct characters566
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

Unique1492 ?
Unique (%)61.2%

Sample

1st row도봉식품
2nd row새마을상회
3rd row충북상회
4th row상호없음
5th row씨앗슈퍼
ValueCountFrequency (%)
씨유 74
 
2.5%
세븐일레븐 70
 
2.4%
gs25 54
 
1.8%
상호없음 35
 
1.2%
지에스(gs)25 22
 
0.7%
미니스톱 19
 
0.6%
이마트24 18
 
0.6%
지에스25 17
 
0.6%
주)코리아세븐 15
 
0.5%
주식회사 14
 
0.5%
Other values (1814) 2640
88.7%
2024-04-06T22:43:48.769345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 671
 
4.2%
마 551
 
3.4%
543
 
3.4%
트 527
 
3.3%
퍼 463
 
2.9%
슈 432
 
2.7%
동 317
 
2.0%
도 277
 
1.7%
2 277
 
1.7%
봉 248
 
1.5%
Other values (556) 11801
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13920
86.4%
Decimal Number 610
 
3.8%
Space Separator 543
 
3.4%
Uppercase Letter 543
 
3.4%
Close Punctuation 202
 
1.3%
Open Punctuation 201
 
1.2%
Lowercase Letter 61
 
0.4%
Dash Punctuation 15
 
0.1%
Other Punctuation 9
 
0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 671
 
4.8%
마 551
 
4.0%
트 527
 
3.8%
퍼 463
 
3.3%
슈 432
 
3.1%
동 317
 
2.3%
도 277
 
2.0%
봉 248
 
1.8%
스 221
 
1.6%
창 220
 
1.6%
Other values (493) 9993
71.8%
Uppercase Letter
ValueCountFrequency (%)
G 170
31.3%
S 159
29.3%
U 47
 
8.7%
C 46
 
8.5%
L 22
 
4.1%
K 16
 
2.9%
I 11
 
2.0%
R 11
 
2.0%
A 9
 
1.7%
O 8
 
1.5%
Other values (14) 44
 
8.1%
Lowercase Letter
ValueCountFrequency (%)
e 12
19.7%
s 8
13.1%
l 6
9.8%
a 5
8.2%
c 4
 
6.6%
f 4
 
6.6%
g 3
 
4.9%
i 3
 
4.9%
p 3
 
4.9%
t 3
 
4.9%
Other values (7) 10
16.4%
Decimal Number
ValueCountFrequency (%)
2 277
45.4%
5 217
35.6%
4 47
 
7.7%
1 19
 
3.1%
3 17
 
2.8%
7 13
 
2.1%
6 7
 
1.1%
8 7
 
1.1%
0 4
 
0.7%
9 2
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 4
44.4%
& 3
33.3%
, 1
 
11.1%
' 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 200
99.0%
] 2
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 199
99.0%
[ 2
 
1.0%
Space Separator
ValueCountFrequency (%)
543
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13922
86.4%
Common 1581
 
9.8%
Latin 604
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 671
 
4.8%
마 551
 
4.0%
트 527
 
3.8%
퍼 463
 
3.3%
슈 432
 
3.1%
동 317
 
2.3%
도 277
 
2.0%
봉 248
 
1.8%
스 221
 
1.6%
창 220
 
1.6%
Other values (494) 9995
71.8%
Latin
ValueCountFrequency (%)
G 170
28.1%
S 159
26.3%
U 47
 
7.8%
C 46
 
7.6%
L 22
 
3.6%
K 16
 
2.6%
e 12
 
2.0%
I 11
 
1.8%
R 11
 
1.8%
A 9
 
1.5%
Other values (31) 101
16.7%
Common
ValueCountFrequency (%)
543
34.3%
2 277
17.5%
5 217
 
13.7%
) 200
 
12.7%
( 199
 
12.6%
4 47
 
3.0%
1 19
 
1.2%
3 17
 
1.1%
- 15
 
0.9%
7 13
 
0.8%
Other values (11) 34
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13920
86.4%
ASCII 2184
 
13.6%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 671
 
4.8%
마 551
 
4.0%
트 527
 
3.8%
퍼 463
 
3.3%
슈 432
 
3.1%
동 317
 
2.3%
도 277
 
2.0%
봉 248
 
1.8%
스 221
 
1.6%
창 220
 
1.6%
Other values (493) 9993
71.8%
ASCII
ValueCountFrequency (%)
543
24.9%
2 277
12.7%
5 217
 
9.9%
) 200
 
9.2%
( 199
 
9.1%
G 170
 
7.8%
S 159
 
7.3%
4 47
 
2.2%
U 47
 
2.2%
C 46
 
2.1%
Other values (51) 279
12.8%
None
ValueCountFrequency (%)
㈜ 2
66.7%
´ 1
33.3%

최종수정일자
Date

Distinct1901
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
Minimum2007-06-29 18:05:40
Maximum2024-04-03 13:43:39
2024-04-06T22:43:48.936163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:43:49.140667image/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 size19.2 KiB
I
1828 
U
608 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1828
75.0%
U 608
 
25.0%

Length

2024-04-06T22:43:49.317613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:43:49.421511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 1828
75.0%
u 608
 
25.0%

데이터갱신일자
Date

Distinct406
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-06T22:43:49.547466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T22:43:49.727084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2436
Missing (%)100.0%
Memory size21.5 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1032
Distinct (%)44.4%
Missing111
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean203319.43
Minimum201076.85
Maximum204682.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-06T22:43:49.919974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201076.85
5-th percentile202013.05
Q1202974.95
median203417.36
Q3203802.84
95-th percentile204283.4
Maximum204682.55
Range3605.6928
Interquartile range (IQR)827.89035

Descriptive statistics

Standard deviation680.87161
Coefficient of variation (CV)0.0033487779
Kurtosis1.1836661
Mean203319.43
Median Absolute Deviation (MAD)405.87906
Skewness-0.96079355
Sum4.7271767 × 108
Variance463586.15
MonotonicityNot monotonic
2024-04-06T22:43:50.127113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204290.372418121 30
 
1.2%
203953.833720651 14
 
0.6%
202552.06293165 10
 
0.4%
202815.313561518 10
 
0.4%
203921.811022959 9
 
0.4%
203567.981260191 9
 
0.4%
202362.339319175 9
 
0.4%
202969.089692416 9
 
0.4%
203469.406441821 9
 
0.4%
203231.366875462 8
 
0.3%
Other values (1022) 2208
90.6%
(Missing) 111
 
4.6%
ValueCountFrequency (%)
201076.85313831 1
 
< 0.1%
201089.214210098 2
 
0.1%
201098.761383515 1
 
< 0.1%
201098.838622013 1
 
< 0.1%
201106.663338126 7
0.3%
201111.814808903 1
 
< 0.1%
201112.008025201 1
 
< 0.1%
201121.999377643 1
 
< 0.1%
201128.59404573 5
0.2%
201139.201346885 1
 
< 0.1%
ValueCountFrequency (%)
204682.545958314 2
0.1%
204671.515230345 1
 
< 0.1%
204641.872260793 1
 
< 0.1%
204623.018873403 3
0.1%
204582.338677684 1
 
< 0.1%
204569.769384803 2
0.1%
204534.405989157 3
0.1%
204510.908809878 2
0.1%
204488.650732578 2
0.1%
204468.657003222 3
0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1033
Distinct (%)44.4%
Missing111
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean461888.31
Minimum458919.24
Maximum465524.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-06T22:43:50.348925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum458919.24
5-th percentile459629.3
Q1460810.9
median461770.49
Q3462868.43
95-th percentile464552.49
Maximum465524.59
Range6605.3531
Interquartile range (IQR)2057.536

Descriptive statistics

Standard deviation1442.7276
Coefficient of variation (CV)0.0031235421
Kurtosis-0.56169373
Mean461888.31
Median Absolute Deviation (MAD)1015.2679
Skewness0.25993633
Sum1.0738903 × 109
Variance2081462.9
MonotonicityNot monotonic
2024-04-06T22:43:50.515982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461103.246216543 30
 
1.2%
462675.950480622 14
 
0.6%
462071.049647988 10
 
0.4%
461851.103374685 10
 
0.4%
463353.009326037 9
 
0.4%
462207.753031038 9
 
0.4%
463097.692108604 9
 
0.4%
460723.911406906 9
 
0.4%
460354.111235542 9
 
0.4%
461535.263498587 8
 
0.3%
Other values (1023) 2208
90.6%
(Missing) 111
 
4.6%
ValueCountFrequency (%)
458919.238880777 1
 
< 0.1%
458940.711388052 2
 
0.1%
458996.979353087 3
0.1%
459016.042602405 2
 
0.1%
459031.753441382 1
 
< 0.1%
459037.91937518 2
 
0.1%
459038.222873743 3
0.1%
459054.652119336 1
 
< 0.1%
459061.623073156 2
 
0.1%
459070.575850428 6
0.2%
ValueCountFrequency (%)
465524.592030404 2
0.1%
465460.110785499 1
 
< 0.1%
465339.344794005 2
0.1%
465314.409287091 1
 
< 0.1%
465291.710893362 1
 
< 0.1%
465264.807969971 2
0.1%
465240.855556 1
 
< 0.1%
465187.0 1
 
< 0.1%
465180.671733594 4
0.2%
465123.207320076 2
0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct1294
Distinct (%)76.3%
Missing740
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean20078473
Minimum19830521
Maximum20220321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.5 KiB
2024-04-06T22:43:50.674147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19830521
5-th percentile19970904
Q120030388
median20080723
Q320130407
95-th percentile20190611
Maximum20220321
Range389800
Interquartile range (IQR)100019.25

Descriptive statistics

Standard deviation68700.523
Coefficient of variation (CV)0.0034216009
Kurtosis-0.38245716
Mean20078473
Median Absolute Deviation (MAD)50018
Skewness-0.1920747
Sum3.4053091 × 1010
Variance4.7197618 × 109
MonotonicityNot monotonic
2024-04-06T22:43:50.847148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19981210 17
 
0.7%
19981208 17
 
0.7%
20011229 11
 
0.5%
20050302 9
 
0.4%
19981212 7
 
0.3%
20090521 4
 
0.2%
20110225 4
 
0.2%
20010913 4
 
0.2%
20120604 4
 
0.2%
20041013 4
 
0.2%
Other values (1284) 1615
66.3%
(Missing) 740
30.4%
ValueCountFrequency (%)
19830521 1
< 0.1%
19840306 1
< 0.1%
19840925 1
< 0.1%
19890101 1
< 0.1%
19890227 1
< 0.1%
19890411 1
< 0.1%
19890420 1
< 0.1%
19900101 1
< 0.1%
19900102 1
< 0.1%
19900125 1
< 0.1%
ValueCountFrequency (%)
20220321 1
< 0.1%
20220307 2
0.1%
20220216 1
< 0.1%
20220214 1
< 0.1%
20220209 1
< 0.1%
20211229 1
< 0.1%
20211209 1
< 0.1%
20211117 1
< 0.1%
20211110 2
0.1%
20211029 1
< 0.1%

민원종류명
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.2 KiB
2009년11월법개정전자료
951 
<NA>
740 
제7조의3제2항에따른경우
682 
제7조의3제3항에따른경우
 
63

Length

Max length14
Median length13
Mean length10.656404
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2009년11월법개정전자료 951
39.0%
<NA> 740
30.4%
제7조의3제2항에따른경우 682
28.0%
제7조의3제3항에따른경우 63
 
2.6%

Length

2024-04-06T22:43:51.002173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:43:51.101557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2009년11월법개정전자료 951
39.0%
na 740
30.4%
제7조의3제2항에따른경우 682
28.0%
제7조의3제3항에따른경우 63
 
2.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
03090000198130900870561405219810902<NA>3폐업2폐업처리20021211<NA><NA><NA>02 9555507<NA><NA>서울특별시 도봉구 도봉동 250번지 16 호<NA><NA>도봉식품2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA><NA><NA><NA><NA>
13090000198330900870560000119830103<NA>3폐업2폐업처리20050221<NA><NA><NA>000000000000<NA><NA>서울특별시 도봉구 도봉동 598번지 1 호서울특별시 도봉구 도봉로167길 51 (도봉동)<NA>새마을상회2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>203639.358504463925.222544<NA><NA>
23090000198430901340560000119840306<NA>3폐업2폐업처리20140718<NA><NA><NA><NA><NA>132917서울특별시 도봉구 창동 550번지 22호서울특별시 도봉구 우이천로12길 7 (창동)132917충북상회2014-07-22 17:06:48I2018-08-31 23:59:59.0<NA>203348.289815459270.7385198403062009년11월법개정전자료
3309000019853090087056150201985200612284취소/말소/만료/정지/중지3직권취소<NA><NA><NA><NA>02 9056197<NA><NA>서울특별시 도봉구 도봉동 625번지 21 호서울특별시 도봉구 마들로 721 (도봉동)<NA>상호없음2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>204062.895297463585.041752<NA><NA>
43090000198830900870561002619930911<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 578번지 9호서울특별시 도봉구 덕릉로59가길 53 (창동)1471씨앗슈퍼2019-03-07 17:26:24U2019-03-09 02:40:00.0<NA>203195.449124459569.169181199309112009년11월법개정전자료
53090000198830900870561401719880418<NA>3폐업2폐업처리20030106<NA><NA><NA>02 9929832<NA><NA>서울특별시 도봉구 도봉동 603번지 14 호서울특별시 도봉구 도봉로 777 (도봉동)<NA>하나식품2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>203809.511085463512.168394<NA><NA>
63090000198930900870560147519890601<NA>3폐업2폐업처리20031202<NA><NA><NA>00000000 000<NA><NA>서울특별시 도봉구 창동 552번지 43 호서울특별시 도봉구 덕릉로 214 (창동)<NA>영광안경원2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>203200.50857459431.17957<NA><NA>
73090000198930900870560304219890411201307174취소/말소/만료/정지/중지5지정취소<NA><NA><NA><NA>02 9051825<NA><NA>서울특별시 도봉구 쌍문동 141번지 33 호서울특별시 도봉구 노해로48길 106 (쌍문동)<NA>식품상회2013-07-20 10:47:28I2018-08-31 23:59:59.0<NA>202946.097479460897.374081198904112009년11월법개정전자료
83090000198930900870560304419891129<NA>3폐업2폐업처리20050609<NA><NA><NA>0200000000<NA><NA>서울특별시 도봉구 쌍문동 138번지 28 호서울특별시 도봉구 노해로48길 75 (쌍문동)<NA>은영슈퍼2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>202796.443951460899.595488<NA><NA>
93090000198930900870560700619890101<NA>3폐업2폐업처리20140116<NA><NA><NA>0234910211<NA><NA>서울특별시 도봉구 방학동 호 신동아1단지 사거리 272서울특별시 도봉구 방학로 193 (방학동, 신동아1단지아파트)132762상호없음(가판점)2014-01-16 09:24:35I2018-08-31 23:59:59.0<NA>202552.062932462071.049648198901012009년11월법개정전자료
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
2426309000020243090185056000012024-01-18<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 823 창동금호어울림아파트서울특별시 도봉구 해등로16길 25, 창동금호어울림아파트 상가동 1층 102,103호 (창동)1401지에스(GS)25 창동어울림점2024-02-27 13:58:50U2023-12-01 22:09:00.0<NA>203613.466171461566.570067<NA><NA>
2427309000020243090185056000022024-01-18<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 80-49서울특별시 도봉구 도봉로 517, 1층 (쌍문동)1440홈플러스 익스프레스 서울쌍문점2024-01-23 15:56:50U2023-11-30 22:05:00.0<NA>203118.397699461036.272146<NA><NA>
2428309000020243090185056000032024-01-23<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 667서울특별시 도봉구 도봉로125길 84, 1층 (쌍문동)1432지에스25(GS25)쌍문보람점2024-01-23 14:32:38I2023-11-30 22:05:00.0<NA>203231.366875461535.263499<NA><NA>
2429309000020243090185056000042024-02-16<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 716-5 ESA 아파트 101호서울특별시 도봉구 도봉로150길 43, 1층 101호 (방학동, ESA 아파트)1332헤어카페 감동미용실2024-02-16 18:01:20I2023-12-01 23:08:00.0<NA>203953.833721462675.950481<NA><NA>
2430309000020243090185056000052024-03-07<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 378서울특별시 도봉구 노해로 149, 1층 (쌍문동)1381지에스(GS)25 도봉우체국점2024-03-14 16:43:54U2023-12-02 23:06:00.0<NA>202243.247665460642.094501<NA><NA>
2431309000020243090185056000062024-03-18<NA>1영업/정상0정상영업<NA><NA><NA><NA>023805894<NA><NA>서울특별시 도봉구 창동 1-28 씨드큐브 창동서울특별시 도봉구 마들로13길 61, 씨드큐브 창동 B층 119-2, B103-4호 (창동)1413(주)이마트에브리데이 창동씨드큐브점2024-03-19 10:06:41I2023-12-02 22:01:00.0<NA>204313.906829461347.878668<NA><NA>
2432309000020243090185056000072024-03-25<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 674-27서울특별시 도봉구 도봉로110길 72, 1층 (창동)1457CU창동중앙점2024-03-25 11:18:26I2023-12-02 22:07:00.0<NA>203245.284739460420.185995<NA><NA>
2433309000020243090185056000082024-03-26<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 139-1서울특별시 도봉구 노해로 206, 1층 일부호 (쌍문동)1441청바이프2024-03-26 17:06:38I2023-12-02 22:08:00.0<NA>202663.246206460934.324974<NA><NA>
2434309000020243090185056000092024-03-29<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 3-4서울특별시 도봉구 마들로11길 71, 신한빌딩 1층 106,107호 (창동)1414씨유(CU)창동신한점2024-03-29 15:35:08I2023-12-02 21:01:00.0<NA>204285.33121461213.575149<NA><NA>
2435309000020243090185056000102024-04-03<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 507-1 에드가쌍문서울특별시 도봉구 삼양로 602, 104호 (쌍문동, 에드가쌍문)1366씨유(CU)솔밭공원역점2024-04-03 13:43:39I2023-12-04 00:05:00.0<NA>201154.262049461576.90605<NA><NA>