Overview

Dataset statistics

Number of variables27
Number of observations3408
Missing cells30435
Missing cells (%)33.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory752.3 KiB
Average record size in memory226.0 B

Variable types

Categorical6
Numeric5
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
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-19908/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태명 is highly imbalanced (51.2%)Imbalance
인허가취소일자 has 3049 (89.5%) missing valuesMissing
폐업일자 has 992 (29.1%) missing valuesMissing
휴업시작일자 has 3318 (97.4%) missing valuesMissing
휴업종료일자 has 3319 (97.4%) missing valuesMissing
재개업일자 has 3408 (100.0%) missing valuesMissing
전화번호 has 1256 (36.9%) missing valuesMissing
소재지면적 has 3408 (100.0%) missing valuesMissing
소재지우편번호 has 2629 (77.1%) missing valuesMissing
도로명주소 has 2126 (62.4%) missing valuesMissing
도로명우편번호 has 2127 (62.4%) missing valuesMissing
업태구분명 has 3408 (100.0%) missing valuesMissing
좌표정보(X) has 138 (4.0%) missing valuesMissing
좌표정보(Y) has 138 (4.0%) missing valuesMissing
지정일자 has 1119 (32.8%) 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
상세영업상태코드 has 627 (18.4%) zerosZeros

Reproduction

Analysis started2024-04-06 12:14:55.618027
Analysis finished2024-04-06 12:14:57.869885
Duration2.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
3060000
3408 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 3408
100.0%

Length

2024-04-06T21:14:58.018560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:14:58.196633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 3408
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3408
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0065343 × 1018
Minimum1.968306 × 1018
Maximum2.024306 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.1 KiB
2024-04-06T21:14:58.398215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968306 × 1018
5-th percentile1.992306 × 1018
Q12.001306 × 1018
median2.006306 × 1018
Q32.013306 × 1018
95-th percentile2.020306 × 1018
Maximum2.024306 × 1018
Range5.6000013 × 1016
Interquartile range (IQR)1.2000002 × 1016

Descriptive statistics

Standard deviation8.784752 × 1015
Coefficient of variation (CV)0.0043780722
Kurtosis0.65940511
Mean2.0065343 × 1018
Median Absolute Deviation (MAD)6 × 1015
Skewness-0.43122069
Sum-5.4731699 × 1018
Variance7.7171868 × 1031
MonotonicityStrictly increasing
2024-04-06T21:14:58.667296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1968306007505602064 1
 
< 0.1%
2010306009505600086 1
 
< 0.1%
2010306009505600088 1
 
< 0.1%
2010306009505600089 1
 
< 0.1%
2010306009505600090 1
 
< 0.1%
2010306009505600091 1
 
< 0.1%
2010306009505600092 1
 
< 0.1%
2010306009505600093 1
 
< 0.1%
2010306009505600094 1
 
< 0.1%
2010306009505600095 1
 
< 0.1%
Other values (3398) 3398
99.7%
ValueCountFrequency (%)
1968306007505602064 1
< 0.1%
1968306007505607003 1
< 0.1%
1970306007505602038 1
< 0.1%
1970306007505607013 1
< 0.1%
1974306007505603041 1
< 0.1%
1974306007505605005 1
< 0.1%
1974306007505614049 1
< 0.1%
1974306007505615072 1
< 0.1%
1974306007505617050 1
< 0.1%
1975306007505604038 1
< 0.1%
ValueCountFrequency (%)
2024306020205600016 1
< 0.1%
2024306020205600015 1
< 0.1%
2024306020205600014 1
< 0.1%
2024306020205600013 1
< 0.1%
2024306020205600012 1
< 0.1%
2024306020205600011 1
< 0.1%
2024306020205600010 1
< 0.1%
2024306020205600008 1
< 0.1%
2024306020205600007 1
< 0.1%
2024306020205600006 1
< 0.1%

인허가일자
Date

Distinct2304
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
Minimum1968-10-04 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T21:14:59.022517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:14:59.291726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Date

MISSING 

Distinct142
Distinct (%)39.6%
Missing3049
Missing (%)89.5%
Memory size26.8 KiB
Minimum1999-01-14 00:00:00
Maximum2024-03-18 00:00:00
2024-04-06T21:14:59.562140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:14:59.817687image/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 size26.8 KiB
3
2416 
1
627 
4
362 
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 2416
70.9%
1 627
 
18.4%
4 362
 
10.6%
2 3
 
0.1%

Length

2024-04-06T21:15:00.092827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:15:00.285067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2416
70.9%
1 627
 
18.4%
4 362
 
10.6%
2 3
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
폐업
2416 
영업/정상
627 
취소/말소/만료/정지/중지
362 
휴업
 
3

Length

Max length14
Median length2
Mean length3.8265845
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2416
70.9%
영업/정상 627
 
18.4%
취소/말소/만료/정지/중지 362
 
10.6%
휴업 3
 
0.1%

Length

2024-04-06T21:15:00.534654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:15:00.759455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2416
70.9%
영업/정상 627
 
18.4%
취소/말소/만료/정지/중지 362
 
10.6%
휴업 3
 
0.1%

상세영업상태코드
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8617958
Minimum0
Maximum5
Zeros627
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size30.1 KiB
2024-04-06T21:15:01.016445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q32
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1495084
Coefficient of variation (CV)0.61741915
Kurtosis1.7618672
Mean1.8617958
Median Absolute Deviation (MAD)0
Skewness0.52563308
Sum6345
Variance1.3213695
MonotonicityNot monotonic
2024-04-06T21:15:01.243576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 2416
70.9%
0 627
 
18.4%
5 211
 
6.2%
3 149
 
4.4%
1 3
 
0.1%
4 2
 
0.1%
ValueCountFrequency (%)
0 627
 
18.4%
1 3
 
0.1%
2 2416
70.9%
3 149
 
4.4%
4 2
 
0.1%
5 211
 
6.2%
ValueCountFrequency (%)
5 211
 
6.2%
4 2
 
0.1%
3 149
 
4.4%
2 2416
70.9%
1 3
 
0.1%
0 627
 
18.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
폐업처리
2416 
정상영업
627 
지정취소
 
211
직권취소
 
149
휴업처리
 
3

Length

Max length8
Median length4
Mean length4.0023474
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업처리 2416
70.9%
정상영업 627
 
18.4%
지정취소 211
 
6.2%
직권취소 149
 
4.4%
휴업처리 3
 
0.1%
임시소매기간만료 2
 
0.1%

Length

2024-04-06T21:15:01.671731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:15:01.988554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 2416
70.9%
정상영업 627
 
18.4%
지정취소 211
 
6.2%
직권취소 149
 
4.4%
휴업처리 3
 
0.1%
임시소매기간만료 2
 
0.1%

폐업일자
Date

MISSING 

Distinct1854
Distinct (%)76.7%
Missing992
Missing (%)29.1%
Memory size26.8 KiB
Minimum1990-10-03 00:00:00
Maximum2024-03-29 00:00:00
2024-04-06T21:15:02.338641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:15:02.685279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct81
Distinct (%)90.0%
Missing3318
Missing (%)97.4%
Memory size26.8 KiB
Minimum1994-10-05 00:00:00
Maximum2024-01-09 00:00:00
2024-04-06T21:15:02.950790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:15:03.201299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업종료일자
Date

MISSING 

Distinct86
Distinct (%)96.6%
Missing3319
Missing (%)97.4%
Memory size26.8 KiB
Minimum1994-12-31 00:00:00
Maximum2024-05-31 00:00:00
2024-04-06T21:15:03.489978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:15:03.781793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3408
Missing (%)100.0%
Memory size30.1 KiB

전화번호
Text

MISSING 

Distinct1911
Distinct (%)88.8%
Missing1256
Missing (%)36.9%
Memory size26.8 KiB
2024-04-06T21:15:04.291757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length10
Mean length9.7430297
Min length2

Characters and Unicode

Total characters20967
Distinct characters16
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

Unique1721 ?
Unique (%)80.0%

Sample

1st row02 4375276
2nd row02 4353479
3rd row02 4358752
4th row02 4341397
5th row02 4346053
ValueCountFrequency (%)
02 1277
37.2%
1577-0711 6
 
0.2%
4936101 5
 
0.1%
02-1577-0711 5
 
0.1%
0234211559 4
 
0.1%
4396571 4
 
0.1%
4938381 4
 
0.1%
4944100 4
 
0.1%
031 4
 
0.1%
4343008 4
 
0.1%
Other values (1893) 2119
61.7%
2024-04-06T21:15:05.140396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3438
16.4%
0 3122
14.9%
4 2790
13.3%
3 2156
10.3%
9 1912
9.1%
1286
 
6.1%
7 1248
 
6.0%
5 1225
 
5.8%
1 1116
 
5.3%
6 1023
 
4.9%
Other values (6) 1651
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19021
90.7%
Space Separator 1286
 
6.1%
Dash Punctuation 653
 
3.1%
Math Symbol 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3438
18.1%
0 3122
16.4%
4 2790
14.7%
3 2156
11.3%
9 1912
10.1%
7 1248
 
6.6%
5 1225
 
6.4%
1 1116
 
5.9%
6 1023
 
5.4%
8 991
 
5.2%
Other Punctuation
ValueCountFrequency (%)
/ 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
1286
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 653
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20967
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3438
16.4%
0 3122
14.9%
4 2790
13.3%
3 2156
10.3%
9 1912
9.1%
1286
 
6.1%
7 1248
 
6.0%
5 1225
 
5.8%
1 1116
 
5.3%
6 1023
 
4.9%
Other values (6) 1651
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20967
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3438
16.4%
0 3122
14.9%
4 2790
13.3%
3 2156
10.3%
9 1912
9.1%
1286
 
6.1%
7 1248
 
6.0%
5 1225
 
5.8%
1 1116
 
5.3%
6 1023
 
4.9%
Other values (6) 1651
7.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3408
Missing (%)100.0%
Memory size30.1 KiB

소재지우편번호
Text

MISSING 

Distinct112
Distinct (%)14.4%
Missing2629
Missing (%)77.1%
Memory size26.8 KiB
2024-04-06T21:15:05.628503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0115533
Min length6

Characters and Unicode

Total characters4683
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

Unique29 ?
Unique (%)3.7%

Sample

1st row131815
2nd row131202
3rd row131875
4th row000
5th row131833
ValueCountFrequency (%)
131881 25
 
3.2%
131821 23
 
3.0%
131809 23
 
3.0%
131813 22
 
2.8%
131818 21
 
2.7%
131878 19
 
2.4%
131875 19
 
2.4%
131876 19
 
2.4%
131816 18
 
2.3%
131853 18
 
2.3%
Other values (102) 572
73.4%
2024-04-06T21:15:06.388421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1852
39.5%
3 894
19.1%
8 853
18.2%
2 242
 
5.2%
0 175
 
3.7%
6 174
 
3.7%
7 154
 
3.3%
5 154
 
3.3%
4 89
 
1.9%
9 81
 
1.7%
Other values (2) 15
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4668
99.7%
Dash Punctuation 9
 
0.2%
Space Separator 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1852
39.7%
3 894
19.2%
8 853
18.3%
2 242
 
5.2%
0 175
 
3.7%
6 174
 
3.7%
7 154
 
3.3%
5 154
 
3.3%
4 89
 
1.9%
9 81
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4683
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1852
39.5%
3 894
19.1%
8 853
18.2%
2 242
 
5.2%
0 175
 
3.7%
6 174
 
3.7%
7 154
 
3.3%
5 154
 
3.3%
4 89
 
1.9%
9 81
 
1.7%
Other values (2) 15
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4683
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1852
39.5%
3 894
19.1%
8 853
18.2%
2 242
 
5.2%
0 175
 
3.7%
6 174
 
3.7%
7 154
 
3.3%
5 154
 
3.3%
4 89
 
1.9%
9 81
 
1.7%
Other values (2) 15
 
0.3%

지번주소
Text

Distinct2925
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
2024-04-06T21:15:07.025818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length50
Mean length25.009977
Min length14

Characters and Unicode

Total characters85234
Distinct characters295
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

Unique2549 ?
Unique (%)74.8%

Sample

1st row서울특별시 중랑구 면목동 549번지 14호
2nd row서울특별시 중랑구 면목동 627번지 2 호
3rd row서울특별시 중랑구 면목동 139번지 60 호
4th row서울특별시 중랑구 면목동 527-165 덕산슈퍼
5th row서울특별시 중랑구 면목동 595번지 7 호
ValueCountFrequency (%)
서울특별시 3408
18.7%
중랑구 3408
18.7%
면목동 1142
 
6.3%
호 639
 
3.5%
망우동 437
 
2.4%
중화동 397
 
2.2%
상봉동 380
 
2.1%
묵동 331
 
1.8%
신내동 269
 
1.5%
1호 224
 
1.2%
Other values (1807) 7609
41.7%
2024-04-06T21:15:07.954054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18082
21.2%
중 3906
 
4.6%
1 3787
 
4.4%
동 3564
 
4.2%
시 3435
 
4.0%
구 3431
 
4.0%
랑 3422
 
4.0%
서 3421
 
4.0%
울 3418
 
4.0%
특 3408
 
4.0%
Other values (285) 35360
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49528
58.1%
Space Separator 18082
 
21.2%
Decimal Number 16887
 
19.8%
Dash Punctuation 383
 
0.4%
Other Punctuation 150
 
0.2%
Uppercase Letter 95
 
0.1%
Close Punctuation 33
 
< 0.1%
Open Punctuation 33
 
< 0.1%
Lowercase Letter 31
 
< 0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 3906
 
7.9%
동 3564
 
7.2%
시 3435
 
6.9%
구 3431
 
6.9%
랑 3422
 
6.9%
서 3421
 
6.9%
울 3418
 
6.9%
특 3408
 
6.9%
별 3408
 
6.9%
호 3098
 
6.3%
Other values (247) 15017
30.3%
Decimal Number
ValueCountFrequency (%)
1 3787
22.4%
2 2192
13.0%
3 1985
11.8%
4 1696
10.0%
5 1428
 
8.5%
0 1397
 
8.3%
6 1284
 
7.6%
7 1073
 
6.4%
8 1037
 
6.1%
9 1008
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
B 37
38.9%
A 25
26.3%
S 10
 
10.5%
C 7
 
7.4%
X 5
 
5.3%
K 4
 
4.2%
V 4
 
4.2%
D 2
 
2.1%
E 1
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
e 9
29.0%
c 6
19.4%
n 4
12.9%
r 4
12.9%
t 4
12.9%
l 1
 
3.2%
g 1
 
3.2%
i 1
 
3.2%
b 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 82
54.7%
. 48
32.0%
@ 18
 
12.0%
/ 1
 
0.7%
? 1
 
0.7%
Space Separator
ValueCountFrequency (%)
18082
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 383
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49528
58.1%
Common 35580
41.7%
Latin 126
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 3906
 
7.9%
동 3564
 
7.2%
시 3435
 
6.9%
구 3431
 
6.9%
랑 3422
 
6.9%
서 3421
 
6.9%
울 3418
 
6.9%
특 3408
 
6.9%
별 3408
 
6.9%
호 3098
 
6.3%
Other values (247) 15017
30.3%
Common
ValueCountFrequency (%)
18082
50.8%
1 3787
 
10.6%
2 2192
 
6.2%
3 1985
 
5.6%
4 1696
 
4.8%
5 1428
 
4.0%
0 1397
 
3.9%
6 1284
 
3.6%
7 1073
 
3.0%
8 1037
 
2.9%
Other values (10) 1619
 
4.6%
Latin
ValueCountFrequency (%)
B 37
29.4%
A 25
19.8%
S 10
 
7.9%
e 9
 
7.1%
C 7
 
5.6%
c 6
 
4.8%
X 5
 
4.0%
K 4
 
3.2%
n 4
 
3.2%
V 4
 
3.2%
Other values (8) 15
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49528
58.1%
ASCII 35706
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18082
50.6%
1 3787
 
10.6%
2 2192
 
6.1%
3 1985
 
5.6%
4 1696
 
4.7%
5 1428
 
4.0%
0 1397
 
3.9%
6 1284
 
3.6%
7 1073
 
3.0%
8 1037
 
2.9%
Other values (28) 1745
 
4.9%
Hangul
ValueCountFrequency (%)
중 3906
 
7.9%
동 3564
 
7.2%
시 3435
 
6.9%
구 3431
 
6.9%
랑 3422
 
6.9%
서 3421
 
6.9%
울 3418
 
6.9%
특 3408
 
6.9%
별 3408
 
6.9%
호 3098
 
6.3%
Other values (247) 15017
30.3%

도로명주소
Text

MISSING 

Distinct1142
Distinct (%)89.1%
Missing2126
Missing (%)62.4%
Memory size26.8 KiB
2024-04-06T21:15:08.482048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length57
Mean length29.477379
Min length16

Characters and Unicode

Total characters37790
Distinct characters311
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

Unique1023 ?
Unique (%)79.8%

Sample

1st row서울특별시 중랑구 용마산로58길 27, 덕산슈퍼 (면목동)
2nd row서울특별시 중랑구 망우로67길 33(망우동)
3rd row서울특별시 중랑구 겸재로50길 52 (면목동)
4th row서울특별시 중랑구 면목로53길 51 (면목동)
5th row서울특별시 중랑구 면목로39길 11 (면목동)
ValueCountFrequency (%)
서울특별시 1282
 
17.3%
중랑구 1276
 
17.2%
면목동 436
 
5.9%
1층 400
 
5.4%
상봉동 157
 
2.1%
중화동 154
 
2.1%
망우동 150
 
2.0%
묵동 130
 
1.8%
신내동 97
 
1.3%
용마산로 66
 
0.9%
Other values (1166) 3252
43.9%
2024-04-06T21:15:09.336400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6121
 
16.2%
1 1638
 
4.3%
동 1610
 
4.3%
중 1596
 
4.2%
랑 1387
 
3.7%
시 1306
 
3.5%
서 1299
 
3.4%
울 1297
 
3.4%
로 1284
 
3.4%
별 1283
 
3.4%
Other values (301) 18969
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22229
58.8%
Space Separator 6121
 
16.2%
Decimal Number 5783
 
15.3%
Close Punctuation 1283
 
3.4%
Open Punctuation 1283
 
3.4%
Other Punctuation 902
 
2.4%
Dash Punctuation 84
 
0.2%
Uppercase Letter 68
 
0.2%
Lowercase Letter 31
 
0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1610
 
7.2%
중 1596
 
7.2%
랑 1387
 
6.2%
시 1306
 
5.9%
서 1299
 
5.8%
울 1297
 
5.8%
로 1284
 
5.8%
별 1283
 
5.8%
특 1282
 
5.8%
구 1281
 
5.8%
Other values (263) 8604
38.7%
Uppercase Letter
ValueCountFrequency (%)
B 27
39.7%
A 12
17.6%
S 7
 
10.3%
C 6
 
8.8%
K 6
 
8.8%
V 5
 
7.4%
R 1
 
1.5%
L 1
 
1.5%
D 1
 
1.5%
E 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 1638
28.3%
2 703
12.2%
3 566
 
9.8%
0 511
 
8.8%
4 509
 
8.8%
5 466
 
8.1%
6 387
 
6.7%
9 362
 
6.3%
7 350
 
6.1%
8 291
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 9
29.0%
c 5
16.1%
t 4
12.9%
r 4
12.9%
n 4
12.9%
g 2
 
6.5%
l 1
 
3.2%
i 1
 
3.2%
s 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 897
99.4%
. 3
 
0.3%
? 2
 
0.2%
Space Separator
ValueCountFrequency (%)
6121
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1283
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1283
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22229
58.8%
Common 15462
40.9%
Latin 99
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1610
 
7.2%
중 1596
 
7.2%
랑 1387
 
6.2%
시 1306
 
5.9%
서 1299
 
5.8%
울 1297
 
5.8%
로 1284
 
5.8%
별 1283
 
5.8%
특 1282
 
5.8%
구 1281
 
5.8%
Other values (263) 8604
38.7%
Latin
ValueCountFrequency (%)
B 27
27.3%
A 12
12.1%
e 9
 
9.1%
S 7
 
7.1%
C 6
 
6.1%
K 6
 
6.1%
V 5
 
5.1%
c 5
 
5.1%
t 4
 
4.0%
r 4
 
4.0%
Other values (10) 14
14.1%
Common
ValueCountFrequency (%)
6121
39.6%
1 1638
 
10.6%
) 1283
 
8.3%
( 1283
 
8.3%
, 897
 
5.8%
2 703
 
4.5%
3 566
 
3.7%
0 511
 
3.3%
4 509
 
3.3%
5 466
 
3.0%
Other values (8) 1485
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22229
58.8%
ASCII 15561
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6121
39.3%
1 1638
 
10.5%
) 1283
 
8.2%
( 1283
 
8.2%
, 897
 
5.8%
2 703
 
4.5%
3 566
 
3.6%
0 511
 
3.3%
4 509
 
3.3%
5 466
 
3.0%
Other values (28) 1584
 
10.2%
Hangul
ValueCountFrequency (%)
동 1610
 
7.2%
중 1596
 
7.2%
랑 1387
 
6.2%
시 1306
 
5.9%
서 1299
 
5.8%
울 1297
 
5.8%
로 1284
 
5.8%
별 1283
 
5.8%
특 1282
 
5.8%
구 1281
 
5.8%
Other values (263) 8604
38.7%

도로명우편번호
Text

MISSING 

Distinct316
Distinct (%)24.7%
Missing2127
Missing (%)62.4%
Memory size26.8 KiB
2024-04-06T21:15:10.059506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2490242
Min length5

Characters and Unicode

Total characters6724
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

Unique52 ?
Unique (%)4.1%

Sample

1st row02259
2nd row02059
3rd row131815
4th row02239
5th row02163
ValueCountFrequency (%)
02057 15
 
1.2%
131813 13
 
1.0%
02086 12
 
0.9%
02228 12
 
0.9%
131821 11
 
0.9%
131881 10
 
0.8%
02139 10
 
0.8%
02151 10
 
0.8%
02210 10
 
0.8%
02146 10
 
0.8%
Other values (306) 1168
91.2%
2024-04-06T21:15:10.947562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1593
23.7%
2 1473
21.9%
1 1334
19.8%
3 577
 
8.6%
8 501
 
7.5%
5 283
 
4.2%
7 264
 
3.9%
6 264
 
3.9%
4 245
 
3.6%
9 180
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6714
99.9%
Dash Punctuation 10
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1593
23.7%
2 1473
21.9%
1 1334
19.9%
3 577
 
8.6%
8 501
 
7.5%
5 283
 
4.2%
7 264
 
3.9%
6 264
 
3.9%
4 245
 
3.6%
9 180
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6724
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1593
23.7%
2 1473
21.9%
1 1334
19.8%
3 577
 
8.6%
8 501
 
7.5%
5 283
 
4.2%
7 264
 
3.9%
6 264
 
3.9%
4 245
 
3.6%
9 180
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6724
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1593
23.7%
2 1473
21.9%
1 1334
19.8%
3 577
 
8.6%
8 501
 
7.5%
5 283
 
4.2%
7 264
 
3.9%
6 264
 
3.9%
4 245
 
3.6%
9 180
 
2.7%

사업장명
Text

Distinct2479
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
2024-04-06T21:15:11.452273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length6.2174296
Min length1

Characters and Unicode

Total characters21189
Distinct characters630
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2022 ?
Unique (%)59.3%

Sample

1st row영진상회
2nd row성회상회
3rd row가평상회
4th row덕산슈퍼
5th row친절정육점
ValueCountFrequency (%)
씨유 123
 
2.9%
gs25 98
 
2.3%
세븐일레븐 65
 
1.5%
지에스25 37
 
0.9%
이마트24 34
 
0.8%
주)코리아세븐 30
 
0.7%
무 27
 
0.6%
훼미리마트 18
 
0.4%
지에스(gs)25 18
 
0.4%
그린마트 18
 
0.4%
Other values (2483) 3748
88.9%
2024-04-06T21:15:12.696416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
812
 
3.8%
점 795
 
3.8%
마 790
 
3.7%
퍼 769
 
3.6%
트 744
 
3.5%
슈 735
 
3.5%
중 395
 
1.9%
2 344
 
1.6%
사 292
 
1.4%
상 288
 
1.4%
Other values (620) 15225
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18396
86.8%
Space Separator 812
 
3.8%
Decimal Number 752
 
3.5%
Uppercase Letter 682
 
3.2%
Close Punctuation 212
 
1.0%
Open Punctuation 212
 
1.0%
Lowercase Letter 85
 
0.4%
Dash Punctuation 22
 
0.1%
Other Punctuation 15
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 795
 
4.3%
마 790
 
4.3%
퍼 769
 
4.2%
트 744
 
4.0%
슈 735
 
4.0%
중 395
 
2.1%
사 292
 
1.6%
상 288
 
1.6%
이 284
 
1.5%
스 275
 
1.5%
Other values (550) 13029
70.8%
Uppercase Letter
ValueCountFrequency (%)
S 230
33.7%
G 199
29.2%
C 38
 
5.6%
U 29
 
4.3%
K 23
 
3.4%
O 18
 
2.6%
L 16
 
2.3%
B 14
 
2.1%
A 14
 
2.1%
I 12
 
1.8%
Other values (16) 89
 
13.0%
Lowercase Letter
ValueCountFrequency (%)
e 11
12.9%
s 8
 
9.4%
u 6
 
7.1%
a 6
 
7.1%
c 5
 
5.9%
p 5
 
5.9%
l 5
 
5.9%
o 5
 
5.9%
t 5
 
5.9%
y 5
 
5.9%
Other values (10) 24
28.2%
Decimal Number
ValueCountFrequency (%)
2 344
45.7%
5 260
34.6%
4 72
 
9.6%
1 27
 
3.6%
6 14
 
1.9%
3 11
 
1.5%
7 8
 
1.1%
0 6
 
0.8%
9 5
 
0.7%
8 5
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 4
26.7%
& 4
26.7%
? 2
13.3%
. 2
13.3%
; 1
 
6.7%
＆ 1
 
6.7%
: 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 211
99.5%
〉 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 211
99.5%
〈 1
 
0.5%
Space Separator
ValueCountFrequency (%)
812
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18397
86.8%
Common 2025
 
9.6%
Latin 767
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 795
 
4.3%
마 790
 
4.3%
퍼 769
 
4.2%
트 744
 
4.0%
슈 735
 
4.0%
중 395
 
2.1%
사 292
 
1.6%
상 288
 
1.6%
이 284
 
1.5%
스 275
 
1.5%
Other values (551) 13030
70.8%
Latin
ValueCountFrequency (%)
S 230
30.0%
G 199
25.9%
C 38
 
5.0%
U 29
 
3.8%
K 23
 
3.0%
O 18
 
2.3%
L 16
 
2.1%
B 14
 
1.8%
A 14
 
1.8%
I 12
 
1.6%
Other values (36) 174
22.7%
Common
ValueCountFrequency (%)
812
40.1%
2 344
17.0%
5 260
 
12.8%
) 211
 
10.4%
( 211
 
10.4%
4 72
 
3.6%
1 27
 
1.3%
- 22
 
1.1%
6 14
 
0.7%
3 11
 
0.5%
Other values (13) 41
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18395
86.8%
ASCII 2789
 
13.2%
None 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
812
29.1%
2 344
12.3%
5 260
 
9.3%
S 230
 
8.2%
) 211
 
7.6%
( 211
 
7.6%
G 199
 
7.1%
4 72
 
2.6%
C 38
 
1.4%
U 29
 
1.0%
Other values (56) 383
13.7%
Hangul
ValueCountFrequency (%)
점 795
 
4.3%
마 790
 
4.3%
퍼 769
 
4.2%
트 744
 
4.0%
슈 735
 
4.0%
중 395
 
2.1%
사 292
 
1.6%
상 288
 
1.6%
이 284
 
1.5%
스 275
 
1.5%
Other values (549) 13028
70.8%
None
ValueCountFrequency (%)
㈜ 1
25.0%
〈 1
25.0%
〉 1
25.0%
＆ 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 1
100.0%

최종수정일자
Date

Distinct2550
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
Minimum2007-07-26 17:30:14
Maximum2024-04-03 17:23:17
2024-04-06T21:15:13.010903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:15:13.325576image/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 size26.8 KiB
I
2694 
U
714 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2694
79.0%
U 714
 
21.0%

Length

2024-04-06T21:15:13.600130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:15:13.779340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2694
79.0%
u 714
 
21.0%

데이터갱신일자
Date

Distinct537
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-06T21:15:13.990954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:15:14.330952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3408
Missing (%)100.0%
Memory size30.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct1600
Distinct (%)48.9%
Missing138
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean207640.39
Minimum206204.78
Maximum210052.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.1 KiB
2024-04-06T21:15:14.587258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206204.78
5-th percentile206534.94
Q1206954.1
median207573.66
Q3208263.84
95-th percentile208957.52
Maximum210052.65
Range3847.871
Interquartile range (IQR)1309.7406

Descriptive statistics

Standard deviation788.50787
Coefficient of variation (CV)0.0037974687
Kurtosis-0.80335935
Mean207640.39
Median Absolute Deviation (MAD)642.58031
Skewness0.33067014
Sum6.7898406 × 108
Variance621744.65
MonotonicityNot monotonic
2024-04-06T21:15:14.868900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208190.780255159 12
 
0.4%
206936.762871336 11
 
0.3%
208295.099818379 11
 
0.3%
207570.457064233 9
 
0.3%
207646.140328058 9
 
0.3%
206812.923378041 9
 
0.3%
207337.012812369 9
 
0.3%
208383.030760914 8
 
0.2%
208316.458050628 8
 
0.2%
206622.374726965 8
 
0.2%
Other values (1590) 3176
93.2%
(Missing) 138
 
4.0%
ValueCountFrequency (%)
206204.782194072 1
 
< 0.1%
206242.730660891 3
0.1%
206251.200892208 1
 
< 0.1%
206252.475531463 1
 
< 0.1%
206257.443590827 1
 
< 0.1%
206266.603701754 2
0.1%
206273.047972122 1
 
< 0.1%
206280.483272835 3
0.1%
206285.912434623 1
 
< 0.1%
206287.451590896 3
0.1%
ValueCountFrequency (%)
210052.653214056 1
< 0.1%
209931.172836 2
0.1%
209856.1161416 2
0.1%
209834.558315011 1
< 0.1%
209797.760188391 1
< 0.1%
209781.662069846 1
< 0.1%
209704.692641997 1
< 0.1%
209663.612179893 2
0.1%
209625.385161432 1
< 0.1%
209611.159654036 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct1599
Distinct (%)48.9%
Missing138
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean454768.04
Minimum452077.78
Maximum457702.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.1 KiB
2024-04-06T21:15:15.269845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452077.78
5-th percentile452703.32
Q1453948.25
median454768.65
Q3455535.4
95-th percentile456888.56
Maximum457702.63
Range5624.8483
Interquartile range (IQR)1587.1421

Descriptive statistics

Standard deviation1190.1237
Coefficient of variation (CV)0.0026169907
Kurtosis-0.47932101
Mean454768.04
Median Absolute Deviation (MAD)787.15016
Skewness0.033074149
Sum1.4870915 × 109
Variance1416394.5
MonotonicityNot monotonic
2024-04-06T21:15:15.725074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
455745.397688787 13
 
0.4%
454686.968191068 11
 
0.3%
456014.999180519 11
 
0.3%
452491.073633837 9
 
0.3%
455607.212185672 9
 
0.3%
455494.623548729 9
 
0.3%
455532.465041777 9
 
0.3%
455488.083271563 8
 
0.2%
453803.556515633 8
 
0.2%
455866.2178667 8
 
0.2%
Other values (1589) 3175
93.2%
(Missing) 138
 
4.0%
ValueCountFrequency (%)
452077.782812274 2
0.1%
452101.45277602 4
0.1%
452113.435570628 1
 
< 0.1%
452121.823568393 2
0.1%
452134.332757901 2
0.1%
452139.898151971 1
 
< 0.1%
452140.038653386 3
0.1%
452145.516710041 2
0.1%
452156.632616372 1
 
< 0.1%
452156.798939417 2
0.1%
ValueCountFrequency (%)
457702.631123 1
 
< 0.1%
457697.301013 4
0.1%
457500.72629784 1
 
< 0.1%
457465.83066498 2
0.1%
457462.766652935 3
0.1%
457446.479605 2
0.1%
457438.909754748 1
 
< 0.1%
457380.933864584 2
0.1%
457360.416282 2
0.1%
457316.146064617 1
 
< 0.1%

지정일자
Real number (ℝ)

MISSING 

Distinct1723
Distinct (%)75.3%
Missing1119
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean20077680
Minimum19681101
Maximum20220208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.1 KiB
2024-04-06T21:15:16.022840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19681101
5-th percentile19930857
Q120030718
median20081029
Q320140603
95-th percentile20190730
Maximum20220208
Range539107
Interquartile range (IQR)109885

Descriptive statistics

Standard deviation81490.309
Coefficient of variation (CV)0.0040587512
Kurtosis1.4110153
Mean20077680
Median Absolute Deviation (MAD)50822
Skewness-0.89038681
Sum4.595781 × 1010
Variance6.6406705 × 109
MonotonicityNot monotonic
2024-04-06T21:15:16.304745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19981230 9
 
0.3%
19981027 7
 
0.2%
19981028 6
 
0.2%
20010727 5
 
0.1%
19981214 5
 
0.1%
20150511 4
 
0.1%
20140408 4
 
0.1%
20140108 4
 
0.1%
20121207 4
 
0.1%
20121121 4
 
0.1%
Other values (1713) 2237
65.6%
(Missing) 1119
32.8%
ValueCountFrequency (%)
19681101 1
< 0.1%
19700105 1
< 0.1%
19700731 1
< 0.1%
19740701 1
< 0.1%
19741211 1
< 0.1%
19750515 1
< 0.1%
19770930 1
< 0.1%
19780922 1
< 0.1%
19781213 1
< 0.1%
19781215 1
< 0.1%
ValueCountFrequency (%)
20220208 2
0.1%
20220207 1
< 0.1%
20220128 2
0.1%
20220127 1
< 0.1%
20220126 1
< 0.1%
20220117 1
< 0.1%
20220114 1
< 0.1%
20211230 1
< 0.1%
20211224 2
0.1%
20211209 1
< 0.1%

민원종류명
Categorical

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.8 KiB
2009년11월법개정전자료
1254 
<NA>
1119 
제7조의3제2항에따른경우
981 
제7조의3제3항에따른경우
 
54

Length

Max length14
Median length13
Mean length10.412852
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2009년11월법개정전자료 1254
36.8%
<NA> 1119
32.8%
제7조의3제2항에따른경우 981
28.8%
제7조의3제3항에따른경우 54
 
1.6%

Length

2024-04-06T21:15:16.659658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:15:16.911908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2009년11월법개정전자료 1254
36.8%
na 1119
32.8%
제7조의3제2항에따른경우 981
28.8%
제7조의3제3항에따른경우 54
 
1.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
03060000196830600750560206419681004<NA>3폐업2폐업처리20030715<NA><NA><NA>02 4375276<NA><NA>서울특별시 중랑구 면목동 549번지 14호<NA><NA>영진상회2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>207504.934657453716.823992<NA><NA>
13060000196830600750560700319681101<NA>3폐업2폐업처리20110316<NA><NA><NA>02 4353479<NA><NA>서울특별시 중랑구 면목동 627번지 2 호<NA><NA>성회상회2011-03-16 14:55:37I2018-08-31 23:59:59.0<NA>207581.919976452902.281064196811012009년11월법개정전자료
23060000197030600750560203819700105<NA>3폐업2폐업처리20200309<NA><NA><NA>02 4358752<NA><NA>서울특별시 중랑구 면목동 139번지 60 호<NA><NA>가평상회2020-03-09 13:39:02U2020-03-11 02:40:00.0<NA>207324.778661454004.244245197001052009년11월법개정전자료
33060000197030600750560701319700731<NA>1영업/정상0정상영업<NA><NA><NA><NA>02 4341397<NA><NA>서울특별시 중랑구 면목동 527-165 덕산슈퍼서울특별시 중랑구 용마산로58길 27, 덕산슈퍼 (면목동)02259덕산슈퍼2021-11-25 13:32:49U2021-11-27 02:40:00.0<NA>208130.688489452900.046208197007312009년11월법개정전자료
43060000197430600750560304119740701<NA>3폐업2폐업처리20101202<NA><NA><NA>02 4346053<NA><NA>서울특별시 중랑구 면목동 595번지 7 호<NA><NA>친절정육점2010-12-02 16:46:47I2018-08-31 23:59:59.0<NA>207603.569661453380.518206197407012009년11월법개정전자료
53060000197430600750560500519740617<NA>3폐업2폐업처리200506152002050220020531<NA>02 4356290<NA><NA>서울특별시 중랑구 면목동 152번지 19호<NA><NA>대원슈퍼2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>207069.730645453759.758449<NA><NA>
63060000197430600750561404919741211<NA>3폐업2폐업처리20120221<NA><NA><NA>02 9735854<NA><NA>서울특별시 중랑구 묵동 249번지 55 호<NA><NA>강원상회2012-02-21 14:59:39I2018-08-31 23:59:59.0<NA>206577.222707455983.695366197412112009년11월법개정전자료
73060000197430600750561507219740919202208234취소/말소/만료/정지/중지5지정취소<NA><NA><NA><NA>02 4351608<NA><NA>서울특별시 중랑구 망우동 354-16서울특별시 중랑구 망우로67길 33(망우동)02059우성사2022-08-23 22:55:22U2021-12-07 22:05:00.0<NA>208866.174484455499.32084<NA><NA>
83060000197430600750561705019740910<NA>3폐업2폐업처리20020617<NA><NA><NA>4969779<NA><NA>서울특별시 중랑구 망우동 418번지 23호<NA><NA>신구전파사2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>208907.246267454472.222537<NA><NA>
93060000197530600750560403819750607<NA>3폐업2폐업처리20020718<NA><NA><NA>4392300<NA><NA>서울특별시 중랑구 면목동 392번지 18호<NA><NA>도일약국2008-02-21 00:00:00I2018-08-31 23:59:59.0<NA>207352.296414452234.084252<NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)지정일자민원종류명
3398306000020243060202056000062024-02-01<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 43-1서울특별시 중랑구 용마산로93길 41 (면목동)02201충북미니슈퍼2024-02-02 09:59:46I2023-12-02 00:04:00.0<NA>208275.759132454094.500716<NA><NA>
3399306000020243060202056000072024-02-05<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 584 신내역 프라디움 더 테라스 근린생활시설 AB110호,AB111호서울특별시 중랑구 용마산로 670, 근린생활시설 AB110,AB111호 (망우동, 신내역 프라디움 더 테라스)02057씨유 신내시티프라디움점2024-02-05 10:53:44I2023-12-02 00:07:00.0<NA>208947.072331456501.73508<NA><NA>
3400306000020243060202056000082024-02-08<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 584 신내역 프라디움 더 테라스 C238호,C239호서울특별시 중랑구 용마산로 670, 2층 C238호,C239호 (망우동, 신내역 프라디움 더 테라스)02057지에스25 신내프라디움점2024-02-08 13:12:02I2023-12-01 23:01:00.0<NA>208947.072331456501.73508<NA><NA>
3401306000020243060202056000102024-02-20<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 582-33 성일빌라 1층 101호서울특별시 중랑구 면목로40길 44, 1층 101호 (면목동, 성일빌라)02252지에스(GS)25 면목금호2024-02-20 15:41:10I2023-12-01 22:02:00.0<NA>207803.601113452852.613431<NA><NA>
3402306000020243060202056000112024-02-21<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 282-6 면목역 지하1층서울특별시 중랑구 면목로 지하407, 면목역 지하1층 (면목동)02146지에스25S면목역점2024-02-21 15:48:21I2023-12-01 22:03:00.0<NA>207645.722843454104.536571<NA><NA>
3403306000020243060202056000122024-03-06<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 상봉동 100-9 상봉역 7호선 지하2층서울특별시 중랑구 망우로 297, 상봉역 7호선 지하2층 (상봉동)02098지에스25 S상봉역점2024-03-06 17:22:56I2023-12-03 00:08:00.0<NA>207527.877317454942.176383<NA><NA>
3404306000020243060202056000132024-03-21<NA>1영업/정상0정상영업<NA><NA><NA><NA>02-436-4767<NA><NA>서울특별시 중랑구 중화동 133 행복쉐르빌서울특별시 중랑구 봉화산로30길 31, 1층 (중화동)02090서울중랑유린지역자활센터 지에스(GS)25 상봉중화2024-03-21 17:59:56I2023-12-02 22:03:00.0<NA>207463.358398455401.307453<NA><NA>
3405306000020243060202056000142024-03-21<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 망우동 580 중랑숲금호어울림 103호,104호,105호,106호 상가동서울특별시 중랑구 양원역로 18, 상가동 1층 103호,104호,105호,106호 (망우동, 중랑숲금호어울림)02063지에스더프레시(중랑망우점)2024-03-21 17:52:00I2023-12-02 22:03:00.0<NA>209579.542671455549.589368<NA><NA>
3406306000020243060202056000152024-03-22<NA>1영업/정상0정상영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 177-38서울특별시 중랑구 겸재로3길 30, 1층 (면목동)02134안쌤애견용품샵2024-03-22 16:13:09I2023-12-02 22:04:00.0<NA>206707.400663453893.266555<NA><NA>
3407306000020243060202056000162024-04-03<NA>1영업/정상0정상영업<NA><NA><NA><NA>02-491-4984<NA><NA>서울특별시 중랑구 상봉동 125-2 1층서울특별시 중랑구 봉우재로 95, 1층 (상봉동)02139퍼스트부동산 공인중개사사무소2024-04-03 17:23:17I2023-12-04 00:05:00.0<NA>207304.18078454439.177463<NA><NA>