Overview

Dataset statistics

Number of variables44
Number of observations234
Missing cells2317
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory86.5 KiB
Average record size in memory378.6 B

Variable types

Categorical22
Text5
DateTime2
Unsupported8
Numeric6
Boolean1

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),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-18537/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
데이터갱신일자 is highly imbalanced (72.4%)Imbalance
위생업태명 is highly imbalanced (62.4%)Imbalance
남성종사자수 is highly imbalanced (51.2%)Imbalance
등급구분명 is highly imbalanced (56.0%)Imbalance
총인원 is highly imbalanced (85.1%)Imbalance
본사종업원수 is highly imbalanced (85.1%)Imbalance
공장사무직종업원수 is highly imbalanced (85.1%)Imbalance
공장판매직종업원수 is highly imbalanced (85.1%)Imbalance
공장생산직종업원수 is highly imbalanced (85.1%)Imbalance
보증액 is highly imbalanced (85.1%)Imbalance
월세액 is highly imbalanced (85.1%)Imbalance
인허가취소일자 has 234 (100.0%) missing valuesMissing
폐업일자 has 37 (15.8%) missing valuesMissing
휴업시작일자 has 234 (100.0%) missing valuesMissing
휴업종료일자 has 234 (100.0%) missing valuesMissing
재개업일자 has 234 (100.0%) missing valuesMissing
전화번호 has 6 (2.6%) missing valuesMissing
도로명주소 has 176 (75.2%) missing valuesMissing
도로명우편번호 has 180 (76.9%) missing valuesMissing
좌표정보(X) has 6 (2.6%) missing valuesMissing
좌표정보(Y) has 6 (2.6%) missing valuesMissing
건물소유구분명 has 234 (100.0%) missing valuesMissing
다중이용업소여부 has 17 (7.3%) missing valuesMissing
시설총규모 has 17 (7.3%) missing valuesMissing
전통업소지정번호 has 234 (100.0%) missing valuesMissing
전통업소주된음식 has 234 (100.0%) missing valuesMissing
홈페이지 has 234 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물소유구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 03:06:00.081554
Analysis finished2024-05-11 03:06:01.346942
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3100000
234 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3100000 234
100.0%

Length

2024-05-11T03:06:01.591100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:02.286109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 234
100.0%

관리번호
Text

UNIQUE 

Distinct234
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T03:06:02.869141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters5148
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

Unique234 ?
Unique (%)100.0%

Sample

1st row3100000-103-1993-04964
2nd row3100000-103-1993-04965
3rd row3100000-103-1993-04966
4th row3100000-103-1993-04967
5th row3100000-103-1993-04968
ValueCountFrequency (%)
3100000-103-1993-04964 1
 
0.4%
3100000-103-1996-05122 1
 
0.4%
3100000-103-1996-05111 1
 
0.4%
3100000-103-1997-05137 1
 
0.4%
3100000-103-1996-05112 1
 
0.4%
3100000-103-1996-05113 1
 
0.4%
3100000-103-1996-05114 1
 
0.4%
3100000-103-1996-05115 1
 
0.4%
3100000-103-1996-05116 1
 
0.4%
3100000-103-1996-05117 1
 
0.4%
Other values (224) 224
95.7%
2024-05-11T03:06:04.109054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1846
35.9%
1 810
15.7%
- 702
 
13.6%
3 568
 
11.0%
9 532
 
10.3%
5 264
 
5.1%
4 129
 
2.5%
6 91
 
1.8%
7 76
 
1.5%
2 65
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4446
86.4%
Dash Punctuation 702
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1846
41.5%
1 810
18.2%
3 568
 
12.8%
9 532
 
12.0%
5 264
 
5.9%
4 129
 
2.9%
6 91
 
2.0%
7 76
 
1.7%
2 65
 
1.5%
8 65
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 702
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5148
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1846
35.9%
1 810
15.7%
- 702
 
13.6%
3 568
 
11.0%
9 532
 
10.3%
5 264
 
5.1%
4 129
 
2.5%
6 91
 
1.8%
7 76
 
1.5%
2 65
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5148
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1846
35.9%
1 810
15.7%
- 702
 
13.6%
3 568
 
11.0%
9 532
 
10.3%
5 264
 
5.1%
4 129
 
2.5%
6 91
 
1.8%
7 76
 
1.5%
2 65
 
1.3%

인허가일자
Date

Distinct202
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1993-10-05 00:00:00
Maximum2014-02-28 00:00:00
2024-05-11T03:06:04.698533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:06:05.303124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
3
197 
1
37 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 197
84.2%
1 37
 
15.8%

Length

2024-05-11T03:06:05.893275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:06.253497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 197
84.2%
1 37
 
15.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
197 
영업/정상
37 

Length

Max length5
Median length2
Mean length2.474359
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 197
84.2%
영업/정상 37
 
15.8%

Length

2024-05-11T03:06:06.585884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:06.918226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 197
84.2%
영업/정상 37
 
15.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2
197 
1
37 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 197
84.2%
1 37
 
15.8%

Length

2024-05-11T03:06:07.250474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:07.763256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 197
84.2%
1 37
 
15.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
폐업
197 
영업
37 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 197
84.2%
영업 37
 
15.8%

Length

2024-05-11T03:06:08.341755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:08.798981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 197
84.2%
영업 37
 
15.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct164
Distinct (%)83.2%
Missing37
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean20020490
Minimum19940312
Maximum20221201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T03:06:09.369738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19940312
5-th percentile19950285
Q119970307
median19991210
Q320051103
95-th percentile20200504
Maximum20221201
Range280889
Interquartile range (IQR)80796

Descriptive statistics

Standard deviation72147.98
Coefficient of variation (CV)0.003603707
Kurtosis0.91736928
Mean20020490
Median Absolute Deviation (MAD)30809
Skewness1.2982939
Sum3.9440366 × 109
Variance5.205331 × 109
MonotonicityNot monotonic
2024-05-11T03:06:09.802450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20041228 6
 
2.6%
20200504 6
 
2.6%
19971224 3
 
1.3%
19970110 3
 
1.3%
19950428 3
 
1.3%
19950509 3
 
1.3%
19960625 3
 
1.3%
19980612 2
 
0.9%
20070413 2
 
0.9%
19981226 2
 
0.9%
Other values (154) 164
70.1%
(Missing) 37
 
15.8%
ValueCountFrequency (%)
19940312 1
0.4%
19940613 1
0.4%
19940906 1
0.4%
19941115 1
0.4%
19941118 1
0.4%
19941129 1
0.4%
19941208 1
0.4%
19941215 1
0.4%
19941231 1
0.4%
19950107 1
0.4%
ValueCountFrequency (%)
20221201 1
 
0.4%
20220905 1
 
0.4%
20220816 1
 
0.4%
20211112 1
 
0.4%
20200904 1
 
0.4%
20200504 6
2.6%
20190717 1
 
0.4%
20180614 1
 
0.4%
20180430 1
 
0.4%
20171108 1
 
0.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

전화번호
Text

MISSING 

Distinct206
Distinct (%)90.4%
Missing6
Missing (%)2.6%
Memory size2.0 KiB
2024-05-11T03:06:10.561466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length9.8333333
Min length2

Characters and Unicode

Total characters2242
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

Unique189 ?
Unique (%)82.9%

Sample

1st row02 9330448
2nd row0209367638
3rd row0200000000
4th row02 00000
5th row0209374809
ValueCountFrequency (%)
02 169
42.0%
00000 4
 
1.0%
0 4
 
1.0%
0200000000 3
 
0.7%
9515619 2
 
0.5%
935 2
 
0.5%
933 2
 
0.5%
9489307 2
 
0.5%
9510924 2
 
0.5%
9512233 2
 
0.5%
Other values (201) 210
52.2%
2024-05-11T03:06:12.072801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 411
18.3%
2 351
15.7%
9 321
14.3%
3 262
11.7%
203
9.1%
5 156
 
7.0%
1 119
 
5.3%
7 114
 
5.1%
8 103
 
4.6%
4 102
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2039
90.9%
Space Separator 203
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 411
20.2%
2 351
17.2%
9 321
15.7%
3 262
12.8%
5 156
 
7.7%
1 119
 
5.8%
7 114
 
5.6%
8 103
 
5.1%
4 102
 
5.0%
6 100
 
4.9%
Space Separator
ValueCountFrequency (%)
203
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2242
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 411
18.3%
2 351
15.7%
9 321
14.3%
3 262
11.7%
203
9.1%
5 156
 
7.0%
1 119
 
5.3%
7 114
 
5.1%
8 103
 
4.6%
4 102
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2242
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 411
18.3%
2 351
15.7%
9 321
14.3%
3 262
11.7%
203
9.1%
5 156
 
7.0%
1 119
 
5.3%
7 114
 
5.1%
8 103
 
4.6%
4 102
 
4.5%

소재지면적
Real number (ℝ)

Distinct225
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.14171
Minimum23.1
Maximum153.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T03:06:12.678723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.1
5-th percentile48.881
Q178.65
median109.245
Q3132.1575
95-th percentile145.3415
Maximum153.33
Range130.23
Interquartile range (IQR)53.5075

Descriptive statistics

Standard deviation31.634283
Coefficient of variation (CV)0.30376189
Kurtosis-0.87986948
Mean104.14171
Median Absolute Deviation (MAD)26.49
Skewness-0.43821576
Sum24369.16
Variance1000.7278
MonotonicityNot monotonic
2024-05-11T03:06:13.189999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140.47 2
 
0.9%
78.83 2
 
0.9%
75.38 2
 
0.9%
140.4 2
 
0.9%
149.02 2
 
0.9%
78.65 2
 
0.9%
137.7 2
 
0.9%
144.96 2
 
0.9%
134.05 2
 
0.9%
91.72 1
 
0.4%
Other values (215) 215
91.9%
ValueCountFrequency (%)
23.1 1
0.4%
26.8 1
0.4%
29.93 1
0.4%
39.78 1
0.4%
40.05 1
0.4%
40.86 1
0.4%
41.58 1
0.4%
42.23 1
0.4%
42.7 1
0.4%
45.49 1
0.4%
ValueCountFrequency (%)
153.33 1
0.4%
149.02 2
0.9%
148.32 1
0.4%
148.21 1
0.4%
148.16 1
0.4%
147.48 1
0.4%
147.1 1
0.4%
146.98 1
0.4%
146.96 1
0.4%
146.1 1
0.4%

소재지우편번호
Categorical

Distinct31
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
139942
47 
139816
39 
139821
24 
139815
17 
139832
14 
Other values (26)
93 

Length

Max length7
Median length6
Mean length6.0299145
Min length6

Unique

Unique6 ?
Unique (%)2.6%

Sample

1st row139837
2nd row139815
3rd row139832
4th row139816
5th row139816

Common Values

ValueCountFrequency (%)
139942 47
20.1%
139816 39
16.7%
139821 24
10.3%
139815 17
 
7.3%
139832 14
 
6.0%
139810 12
 
5.1%
139818 12
 
5.1%
139808 11
 
4.7%
139240 7
 
3.0%
139804 6
 
2.6%
Other values (21) 45
19.2%

Length

2024-05-11T03:06:13.818642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
139942 47
20.1%
139816 39
16.7%
139821 24
10.3%
139815 17
 
7.3%
139832 14
 
6.0%
139810 12
 
5.1%
139818 12
 
5.1%
139808 11
 
4.7%
139240 7
 
3.0%
139804 6
 
2.6%
Other values (21) 45
19.2%

지번주소
Text

Distinct194
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T03:06:14.889474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length23.162393
Min length19

Characters and Unicode

Total characters5420
Distinct characters53
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)70.1%

Sample

1st row서울특별시 노원구 상계동 1049-79번지 지하1층
2nd row서울특별시 노원구 상계동 389-328번지
3rd row서울특별시 노원구 상계동 728-1번지
4th row서울특별시 노원구 상계동 387-61번지
5th row서울특별시 노원구 상계동 387-10번지
ValueCountFrequency (%)
서울특별시 234
23.7%
노원구 234
23.7%
상계동 198
20.1%
공릉동 27
 
2.7%
지하1층 24
 
2.4%
616-1번지 7
 
0.7%
730-5번지 5
 
0.5%
월계동 5
 
0.5%
709-0번지 4
 
0.4%
중계동 4
 
0.4%
Other values (200) 244
24.7%
2024-05-11T03:06:16.570127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
965
17.8%
지 243
 
4.5%
동 237
 
4.4%
원 235
 
4.3%
구 235
 
4.3%
서 234
 
4.3%
특 234
 
4.3%
별 234
 
4.3%
시 234
 
4.3%
노 234
 
4.3%
Other values (43) 2335
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3132
57.8%
Decimal Number 1094
 
20.2%
Space Separator 965
 
17.8%
Dash Punctuation 226
 
4.2%
Other Punctuation 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 243
 
7.8%
동 237
 
7.6%
원 235
 
7.5%
구 235
 
7.5%
서 234
 
7.5%
특 234
 
7.5%
별 234
 
7.5%
시 234
 
7.5%
노 234
 
7.5%
울 234
 
7.5%
Other values (29) 778
24.8%
Decimal Number
ValueCountFrequency (%)
1 202
18.5%
3 159
14.5%
7 123
11.2%
6 108
9.9%
9 102
9.3%
0 96
8.8%
2 94
8.6%
4 89
8.1%
5 61
 
5.6%
8 60
 
5.5%
Space Separator
ValueCountFrequency (%)
965
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 226
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3132
57.8%
Common 2287
42.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 243
 
7.8%
동 237
 
7.6%
원 235
 
7.5%
구 235
 
7.5%
서 234
 
7.5%
특 234
 
7.5%
별 234
 
7.5%
시 234
 
7.5%
노 234
 
7.5%
울 234
 
7.5%
Other values (29) 778
24.8%
Common
ValueCountFrequency (%)
965
42.2%
- 226
 
9.9%
1 202
 
8.8%
3 159
 
7.0%
7 123
 
5.4%
6 108
 
4.7%
9 102
 
4.5%
0 96
 
4.2%
2 94
 
4.1%
4 89
 
3.9%
Other values (3) 123
 
5.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3132
57.8%
ASCII 2288
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
965
42.2%
- 226
 
9.9%
1 202
 
8.8%
3 159
 
6.9%
7 123
 
5.4%
6 108
 
4.7%
9 102
 
4.5%
0 96
 
4.2%
2 94
 
4.1%
4 89
 
3.9%
Other values (4) 124
 
5.4%
Hangul
ValueCountFrequency (%)
지 243
 
7.8%
동 237
 
7.6%
원 235
 
7.5%
구 235
 
7.5%
서 234
 
7.5%
특 234
 
7.5%
별 234
 
7.5%
시 234
 
7.5%
노 234
 
7.5%
울 234
 
7.5%
Other values (29) 778
24.8%

도로명주소
Text

MISSING 

Distinct58
Distinct (%)100.0%
Missing176
Missing (%)75.2%
Memory size2.0 KiB
2024-05-11T03:06:17.525712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35.5
Mean length29.172414
Min length22

Characters and Unicode

Total characters1692
Distinct characters59
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row서울특별시 노원구 동일로237길 2 (상계동,지하1층)
2nd row서울특별시 노원구 상계로 146 (상계동)
3rd row서울특별시 노원구 노해로77길 14-7 (상계동,지하1층)
4th row서울특별시 노원구 한글비석로24길 16 (상계동)
5th row서울특별시 노원구 화랑로 455 (공릉동)
ValueCountFrequency (%)
서울특별시 58
17.8%
노원구 58
17.8%
상계동 38
 
11.7%
지하1층 13
 
4.0%
공릉동 10
 
3.1%
동일로 7
 
2.1%
상계로 7
 
2.1%
상계동,지하1층 6
 
1.8%
지하 5
 
1.5%
한글비석로24길 5
 
1.5%
Other values (93) 119
36.5%
2024-05-11T03:06:18.980367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
268
 
15.8%
1 84
 
5.0%
동 72
 
4.3%
노 72
 
4.3%
상 61
 
3.6%
계 60
 
3.5%
원 59
 
3.5%
구 59
 
3.5%
서 58
 
3.4%
) 58
 
3.4%
Other values (49) 841
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 972
57.4%
Decimal Number 284
 
16.8%
Space Separator 268
 
15.8%
Close Punctuation 58
 
3.4%
Open Punctuation 58
 
3.4%
Other Punctuation 35
 
2.1%
Dash Punctuation 16
 
0.9%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 72
 
7.4%
노 72
 
7.4%
상 61
 
6.3%
계 60
 
6.2%
원 59
 
6.1%
구 59
 
6.1%
서 58
 
6.0%
로 58
 
6.0%
시 58
 
6.0%
별 58
 
6.0%
Other values (33) 357
36.7%
Decimal Number
ValueCountFrequency (%)
1 84
29.6%
4 34
12.0%
2 29
 
10.2%
3 29
 
10.2%
7 27
 
9.5%
5 20
 
7.0%
8 18
 
6.3%
9 17
 
6.0%
6 14
 
4.9%
0 12
 
4.2%
Space Separator
ValueCountFrequency (%)
268
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 972
57.4%
Common 719
42.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 72
 
7.4%
노 72
 
7.4%
상 61
 
6.3%
계 60
 
6.2%
원 59
 
6.1%
구 59
 
6.1%
서 58
 
6.0%
로 58
 
6.0%
시 58
 
6.0%
별 58
 
6.0%
Other values (33) 357
36.7%
Common
ValueCountFrequency (%)
268
37.3%
1 84
 
11.7%
) 58
 
8.1%
( 58
 
8.1%
, 35
 
4.9%
4 34
 
4.7%
2 29
 
4.0%
3 29
 
4.0%
7 27
 
3.8%
5 20
 
2.8%
Other values (5) 77
 
10.7%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 972
57.4%
ASCII 720
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
268
37.2%
1 84
 
11.7%
) 58
 
8.1%
( 58
 
8.1%
, 35
 
4.9%
4 34
 
4.7%
2 29
 
4.0%
3 29
 
4.0%
7 27
 
3.8%
5 20
 
2.8%
Other values (6) 78
 
10.8%
Hangul
ValueCountFrequency (%)
동 72
 
7.4%
노 72
 
7.4%
상 61
 
6.3%
계 60
 
6.2%
원 59
 
6.1%
구 59
 
6.1%
서 58
 
6.0%
로 58
 
6.0%
시 58
 
6.0%
별 58
 
6.0%
Other values (33) 357
36.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)42.6%
Missing180
Missing (%)76.9%
Infinite0
Infinite (%)0.0%
Mean1714.537
Minimum1605
Maximum1849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T03:06:19.529269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1605
5-th percentile1620.45
Q11682.5
median1689
Q31751
95-th percentile1849
Maximum1849
Range244
Interquartile range (IQR)68.5

Descriptive statistics

Standard deviation68.720575
Coefficient of variation (CV)0.040081126
Kurtosis-0.17042609
Mean1714.537
Median Absolute Deviation (MAD)9
Skewness0.89883865
Sum92585
Variance4722.5175
MonotonicityNot monotonic
2024-05-11T03:06:20.099432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1689 7
 
3.0%
1684 7
 
3.0%
1695 6
 
2.6%
1849 5
 
2.1%
1663 3
 
1.3%
1682 3
 
1.3%
1668 3
 
1.3%
1762 2
 
0.9%
1834 2
 
0.9%
1698 2
 
0.9%
Other values (13) 14
 
6.0%
(Missing) 180
76.9%
ValueCountFrequency (%)
1605 1
 
0.4%
1608 1
 
0.4%
1612 1
 
0.4%
1625 1
 
0.4%
1638 1
 
0.4%
1663 3
1.3%
1668 3
1.3%
1682 3
1.3%
1684 7
3.0%
1689 7
3.0%
ValueCountFrequency (%)
1849 5
2.1%
1844 1
 
0.4%
1834 2
 
0.9%
1833 1
 
0.4%
1815 1
 
0.4%
1767 1
 
0.4%
1762 2
 
0.9%
1751 2
 
0.9%
1698 2
 
0.9%
1697 1
 
0.4%

사업장명
Text

Distinct212
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-05-11T03:06:20.860848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.1666667
Min length1

Characters and Unicode

Total characters975
Distinct characters255
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)83.3%

Sample

1st row아그네스
2nd row유정주점
3rd row다크호스
4th row엑스포
5th row성원
ValueCountFrequency (%)
황제 4
 
1.7%
한강 4
 
1.7%
물레방아 3
 
1.2%
화랑단란주점 2
 
0.8%
단란주점 2
 
0.8%
모아 2
 
0.8%
하나비 2
 
0.8%
궁전 2
 
0.8%
신세계단란주점 2
 
0.8%
무랑루즈 2
 
0.8%
Other values (209) 217
89.7%
2024-05-11T03:06:22.214733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 53
 
5.4%
점 52
 
5.3%
란 48
 
4.9%
단 47
 
4.8%
이 28
 
2.9%
스 22
 
2.3%
노 17
 
1.7%
0 16
 
1.6%
아 15
 
1.5%
비 13
 
1.3%
Other values (245) 664
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 916
93.9%
Decimal Number 32
 
3.3%
Uppercase Letter 9
 
0.9%
Space Separator 8
 
0.8%
Other Punctuation 5
 
0.5%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 53
 
5.8%
점 52
 
5.7%
란 48
 
5.2%
단 47
 
5.1%
이 28
 
3.1%
스 22
 
2.4%
노 17
 
1.9%
아 15
 
1.6%
비 13
 
1.4%
리 13
 
1.4%
Other values (227) 608
66.4%
Uppercase Letter
ValueCountFrequency (%)
P 2
22.2%
K 1
11.1%
O 1
11.1%
J 1
11.1%
B 1
11.1%
L 1
11.1%
S 1
11.1%
M 1
11.1%
Decimal Number
ValueCountFrequency (%)
0 16
50.0%
8 6
 
18.8%
7 6
 
18.8%
2 4
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 916
93.9%
Common 49
 
5.0%
Latin 10
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 53
 
5.8%
점 52
 
5.7%
란 48
 
5.2%
단 47
 
5.1%
이 28
 
3.1%
스 22
 
2.4%
노 17
 
1.9%
아 15
 
1.6%
비 13
 
1.4%
리 13
 
1.4%
Other values (227) 608
66.4%
Common
ValueCountFrequency (%)
0 16
32.7%
8
16.3%
8 6
 
12.2%
7 6
 
12.2%
. 4
 
8.2%
2 4
 
8.2%
( 2
 
4.1%
) 2
 
4.1%
, 1
 
2.0%
Latin
ValueCountFrequency (%)
P 2
20.0%
K 1
10.0%
O 1
10.0%
J 1
10.0%
e 1
10.0%
B 1
10.0%
L 1
10.0%
S 1
10.0%
M 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 916
93.9%
ASCII 59
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 53
 
5.8%
점 52
 
5.7%
란 48
 
5.2%
단 47
 
5.1%
이 28
 
3.1%
스 22
 
2.4%
노 17
 
1.9%
아 15
 
1.6%
비 13
 
1.4%
리 13
 
1.4%
Other values (227) 608
66.4%
ASCII
ValueCountFrequency (%)
0 16
27.1%
8
13.6%
8 6
 
10.2%
7 6
 
10.2%
. 4
 
6.8%
2 4
 
6.8%
( 2
 
3.4%
) 2
 
3.4%
P 2
 
3.4%
K 1
 
1.7%
Other values (8) 8
13.6%

최종수정일자
Date

Distinct118
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
Minimum1999-04-16 00:00:00
Maximum2024-02-27 14:43:39
2024-05-11T03:06:22.675322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:06:23.249682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
I
197 
U
37 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 197
84.2%
U 37
 
15.8%

Length

2024-05-11T03:06:23.784111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:24.106520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 197
84.2%
u 37
 
15.8%

데이터갱신일자
Categorical

IMBALANCE 

Distinct32
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2018-08-31 23:59:59.0
197 
2020-05-06 02:40:00.0
 
6
2021-12-03 02:40:00.0
 
2
2021-12-07 23:08:00.0
 
1
2021-12-09 00:02:00.0
 
1
Other values (27)
27 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique29 ?
Unique (%)12.4%

Sample

1st row2020-05-06 02:40:00.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2020-05-06 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 197
84.2%
2020-05-06 02:40:00.0 6
 
2.6%
2021-12-03 02:40:00.0 2
 
0.9%
2021-12-07 23:08:00.0 1
 
0.4%
2021-12-09 00:02:00.0 1
 
0.4%
2021-11-20 02:40:00.0 1
 
0.4%
2022-12-04 22:08:00.0 1
 
0.4%
2021-12-06 22:07:00.0 1
 
0.4%
2018-10-18 02:36:03.0 1
 
0.4%
2019-07-17 02:40:00.0 1
 
0.4%
Other values (22) 22
 
9.4%

Length

2024-05-11T03:06:24.557545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 197
42.1%
23:59:59.0 197
42.1%
02:40:00.0 19
 
4.1%
2020-05-06 6
 
1.3%
2021-12-07 3
 
0.6%
2022-12-04 2
 
0.4%
00:07:00.0 2
 
0.4%
21:00:00.0 2
 
0.4%
2021-12-06 2
 
0.4%
2021-11-02 2
 
0.4%
Other values (33) 36
 
7.7%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
단란주점
234 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 234
100.0%

Length

2024-05-11T03:06:24.919081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:25.220490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 234
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct163
Distinct (%)71.5%
Missing6
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean205765.47
Minimum204611.9
Maximum207098.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T03:06:25.590233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204611.9
5-th percentile205042.4
Q1205270.72
median205567.57
Q3206212.67
95-th percentile206860.15
Maximum207098.84
Range2486.9419
Interquartile range (IQR)941.9496

Descriptive statistics

Standard deviation610.55589
Coefficient of variation (CV)0.0029672417
Kurtosis-0.82304607
Mean205765.47
Median Absolute Deviation (MAD)458.45968
Skewness0.51328347
Sum46914527
Variance372778.49
MonotonicityNot monotonic
2024-05-11T03:06:26.058906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205497.536945124 7
 
3.0%
205270.719919314 5
 
2.1%
205095.669872505 4
 
1.7%
205498.290156829 3
 
1.3%
205088.642066605 3
 
1.3%
205103.934446745 3
 
1.3%
205539.051712379 3
 
1.3%
205576.969263352 3
 
1.3%
205501.560007932 3
 
1.3%
205462.399110919 3
 
1.3%
Other values (153) 191
81.6%
(Missing) 6
 
2.6%
ValueCountFrequency (%)
204611.90257177 1
0.4%
204702.330060428 1
0.4%
204765.535085947 1
0.4%
204767.360728048 1
0.4%
204782.78533329 1
0.4%
204834.524411242 1
0.4%
205015.889474416 2
0.9%
205027.078637975 1
0.4%
205033.4545 1
0.4%
205039.048055954 2
0.9%
ValueCountFrequency (%)
207098.84446419 1
0.4%
207039.5732229 1
0.4%
207010.816935513 1
0.4%
206982.895794233 2
0.9%
206971.51501502 1
0.4%
206961.989599302 1
0.4%
206943.345810218 1
0.4%
206917.723941533 1
0.4%
206879.817537518 1
0.4%
206873.337205167 1
0.4%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct163
Distinct (%)71.5%
Missing6
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean461126.14
Minimum456996.05
Maximum464007.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T03:06:26.440057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456996.05
5-th percentile457450.28
Q1461301.62
median461438.91
Q3461768.67
95-th percentile462743.33
Maximum464007.07
Range7011.0219
Interquartile range (IQR)467.05364

Descriptive statistics

Standard deviation1459.2685
Coefficient of variation (CV)0.0031645754
Kurtosis1.8271471
Mean461126.14
Median Absolute Deviation (MAD)196.91462
Skewness-1.4998641
Sum1.0513676 × 108
Variance2129464.5
MonotonicityNot monotonic
2024-05-11T03:06:26.911204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
461490.516638964 7
 
3.0%
461175.377243531 5
 
2.1%
461310.75073869 4
 
1.7%
461448.261440532 3
 
1.3%
461372.850933416 3
 
1.3%
461201.877781536 3
 
1.3%
461429.301858351 3
 
1.3%
461470.233556698 3
 
1.3%
461417.004312985 3
 
1.3%
461302.881722503 3
 
1.3%
Other values (153) 191
81.6%
(Missing) 6
 
2.6%
ValueCountFrequency (%)
456996.048176249 1
0.4%
457003.268496842 1
0.4%
457026.303281574 1
0.4%
457374.659609172 1
0.4%
457382.53848335 1
0.4%
457382.850501955 1
0.4%
457391.995284835 1
0.4%
457417.081294074 1
0.4%
457423.674667457 1
0.4%
457434.214717297 1
0.4%
ValueCountFrequency (%)
464007.070100909 1
0.4%
463986.143535958 1
0.4%
463943.786866443 1
0.4%
463887.163169624 1
0.4%
463733.063924153 1
0.4%
463512.996306318 1
0.4%
463125.798389618 1
0.4%
463075.632667574 1
0.4%
462992.91984999 1
0.4%
462886.340877065 1
0.4%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
단란주점
217 
<NA>
 
17

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단란주점 217
92.7%
<NA> 17
 
7.3%

Length

2024-05-11T03:06:27.324982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:27.575426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 217
92.7%
na 17
 
7.3%

남성종사자수
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
148 
<NA>
73 
1
 
7
2
 
4
5
 
1

Length

Max length4
Median length1
Mean length1.9358974
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
0 148
63.2%
<NA> 73
31.2%
1 7
 
3.0%
2 4
 
1.7%
5 1
 
0.4%
3 1
 
0.4%

Length

2024-05-11T03:06:27.883452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:28.221080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 148
63.2%
na 73
31.2%
1 7
 
3.0%
2 4
 
1.7%
5 1
 
0.4%
3 1
 
0.4%

여성종사자수
Categorical

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
0
148 
<NA>
73 
1
 
10
2
 
2
3
 
1

Length

Max length4
Median length1
Mean length1.9358974
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
0 148
63.2%
<NA> 73
31.2%
1 10
 
4.3%
2 2
 
0.9%
3 1
 
0.4%

Length

2024-05-11T03:06:28.607304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:28.973334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 148
63.2%
na 73
31.2%
1 10
 
4.3%
2 2
 
0.9%
3 1
 
0.4%

영업장주변구분명
Categorical

Distinct6
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
주택가주변
77 
기타
74 
<NA>
44 
유흥업소밀집지역
31 
아파트지역
 
7

Length

Max length8
Median length5
Mean length4.2735043
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row주택가주변
2nd row주택가주변
3rd row유흥업소밀집지역
4th row주택가주변
5th row주택가주변

Common Values

ValueCountFrequency (%)
주택가주변 77
32.9%
기타 74
31.6%
<NA> 44
18.8%
유흥업소밀집지역 31
13.2%
아파트지역 7
 
3.0%
학교정화(상대) 1
 
0.4%

Length

2024-05-11T03:06:29.347408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:29.938631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택가주변 77
32.9%
기타 74
31.6%
na 44
18.8%
유흥업소밀집지역 31
13.2%
아파트지역 7
 
3.0%
학교정화(상대 1
 
0.4%

등급구분명
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
갑
173 
<NA>
47 
기타
 
5
자율
 
5
지도
 
3

Length

Max length4
Median length1
Mean length1.6623932
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
갑 173
73.9%
<NA> 47
 
20.1%
기타 5
 
2.1%
자율 5
 
2.1%
지도 3
 
1.3%
우수 1
 
0.4%

Length

2024-05-11T03:06:30.370277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:30.885851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
갑 173
73.9%
na 47
 
20.1%
기타 5
 
2.1%
자율 5
 
2.1%
지도 3
 
1.3%
우수 1
 
0.4%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
상수도전용
190 
<NA>
44 

Length

Max length5
Median length5
Mean length4.8119658
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 190
81.2%
<NA> 44
 
18.8%

Length

2024-05-11T03:06:31.372104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:31.699498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 190
81.2%
na 44
 
18.8%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
229 
0
 
5

Length

Max length4
Median length4
Mean length3.9358974
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 229
97.9%
0 5
 
2.1%

Length

2024-05-11T03:06:32.151630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:32.632974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
97.9%
0 5
 
2.1%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
229 
0
 
5

Length

Max length4
Median length4
Mean length3.9358974
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 229
97.9%
0 5
 
2.1%

Length

2024-05-11T03:06:33.212658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:33.680801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
97.9%
0 5
 
2.1%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
229 
0
 
5

Length

Max length4
Median length4
Mean length3.9358974
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 229
97.9%
0 5
 
2.1%

Length

2024-05-11T03:06:34.103365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:34.466237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
97.9%
0 5
 
2.1%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
229 
0
 
5

Length

Max length4
Median length4
Mean length3.9358974
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 229
97.9%
0 5
 
2.1%

Length

2024-05-11T03:06:35.002738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:35.348752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
97.9%
0 5
 
2.1%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
229 
0
 
5

Length

Max length4
Median length4
Mean length3.9358974
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 229
97.9%
0 5
 
2.1%

Length

2024-05-11T03:06:35.707428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:36.057711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
97.9%
0 5
 
2.1%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
229 
0
 
5

Length

Max length4
Median length4
Mean length3.9358974
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 229
97.9%
0 5
 
2.1%

Length

2024-05-11T03:06:36.553433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:36.936406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
97.9%
0 5
 
2.1%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
<NA>
229 
0
 
5

Length

Max length4
Median length4
Mean length3.9358974
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 229
97.9%
0 5
 
2.1%

Length

2024-05-11T03:06:37.514660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:06:37.947334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 229
97.9%
0 5
 
2.1%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.5%
Missing17
Missing (%)7.3%
Memory size600.0 B
False
217 
(Missing)
 
17
ValueCountFrequency (%)
False 217
92.7%
(Missing) 17
 
7.3%
2024-05-11T03:06:38.281950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct211
Distinct (%)97.2%
Missing17
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean105.57581
Minimum23.1
Maximum153.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-05-11T03:06:38.650323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23.1
5-th percentile48.932
Q178.83
median112.94
Q3132.45
95-th percentile146.06
Maximum153.33
Range130.23
Interquartile range (IQR)53.62

Descriptive statistics

Standard deviation31.388182
Coefficient of variation (CV)0.29730469
Kurtosis-0.75053851
Mean105.57581
Median Absolute Deviation (MAD)24.26
Skewness-0.5232654
Sum22909.95
Variance985.218
MonotonicityNot monotonic
2024-05-11T03:06:39.311211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
149.02 2
 
0.9%
140.4 2
 
0.9%
78.65 2
 
0.9%
144.96 2
 
0.9%
78.83 2
 
0.9%
134.05 2
 
0.9%
138.6 1
 
0.4%
88.12 1
 
0.4%
141.9 1
 
0.4%
63.0 1
 
0.4%
Other values (201) 201
85.9%
(Missing) 17
 
7.3%
ValueCountFrequency (%)
23.1 1
0.4%
26.8 1
0.4%
29.93 1
0.4%
39.78 1
0.4%
40.05 1
0.4%
40.86 1
0.4%
42.23 1
0.4%
42.7 1
0.4%
45.49 1
0.4%
47.22 1
0.4%
ValueCountFrequency (%)
153.33 1
0.4%
149.02 2
0.9%
148.32 1
0.4%
148.21 1
0.4%
148.16 1
0.4%
147.48 1
0.4%
147.1 1
0.4%
146.98 1
0.4%
146.96 1
0.4%
146.1 1
0.4%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)100.0%
Memory size2.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
031000003100000-103-1993-0496419931005<NA>3폐업2폐업20200504<NA><NA><NA>02 9330448107.44139837서울특별시 노원구 상계동 1049-79번지 지하1층서울특별시 노원구 동일로237길 2 (상계동,지하1층)1612아그네스2020-05-04 11:15:45U2020-05-06 02:40:00.0단란주점204767.360728463512.996306단란주점00주택가주변갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N107.44<NA><NA><NA>
131000003100000-103-1993-0496519931008<NA>3폐업2폐업20000225<NA><NA><NA>020936763860.27139815서울특별시 노원구 상계동 389-328번지<NA><NA>유정주점2001-09-29 00:00:00I2018-08-31 23:59:59.0단란주점205973.594766461968.964908단란주점00주택가주변갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N60.27<NA><NA><NA>
231000003100000-103-1993-0496619931012<NA>3폐업2폐업19971025<NA><NA><NA>0200000000139.59139832서울특별시 노원구 상계동 728-1번지<NA><NA>다크호스2001-09-29 00:00:00I2018-08-31 23:59:59.0단란주점205341.234474461208.986686단란주점00유흥업소밀집지역갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N139.59<NA><NA><NA>
331000003100000-103-1993-0496719931020<NA>3폐업2폐업20010319<NA><NA><NA>02 0000072.32139816서울특별시 노원구 상계동 387-61번지<NA><NA>엑스포2001-09-29 00:00:00I2018-08-31 23:59:59.0단란주점206123.802904461766.519329단란주점00주택가주변갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N72.32<NA><NA><NA>
431000003100000-103-1993-0496819931020<NA>3폐업2폐업20200504<NA><NA><NA>0209374809140.4139816서울특별시 노원구 상계동 387-10번지서울특별시 노원구 상계로 146 (상계동)1698성원2020-05-04 11:18:30U2020-05-06 02:40:00.0단란주점206174.505138461779.642831단란주점00주택가주변갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N140.4<NA><NA><NA>
531000003100000-103-1993-0496919931020<NA>3폐업2폐업20220816<NA><NA><NA>02 932288252.64139942서울특별시 노원구 상계동 710-2 지하1층서울특별시 노원구 노해로77길 14-7 (상계동,지하1층)1689태평양2022-08-16 11:54:59U2021-12-07 23:08:00.0단란주점205185.519399461399.628612<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
631000003100000-103-1993-0497019931022<NA>3폐업2폐업19990713<NA><NA><NA>02 9732324116.51139808서울특별시 노원구 공릉동 649-4번지<NA><NA>거성2001-09-29 00:00:00I2018-08-31 23:59:59.0단란주점207010.816936457458.697571단란주점00주택가주변갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N116.51<NA><NA><NA>
731000003100000-103-1993-0497119931023<NA>3폐업2폐업19950329<NA><NA><NA>02 9366209137.2139810서울특별시 노원구 상계동 93-4번지<NA><NA>금실단란주점2001-09-29 00:00:00I2018-08-31 23:59:59.0단란주점206771.591732462636.204497단란주점00주택가주변갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N137.2<NA><NA><NA>
831000003100000-103-1993-0497219931026<NA>3폐업2폐업19970110<NA><NA><NA>020931453453.42139942서울특별시 노원구 상계동 708-1번지<NA><NA>코모도2001-09-29 00:00:00I2018-08-31 23:59:59.0단란주점205098.434665461347.022787단란주점00기타갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N53.42<NA><NA><NA>
931000003100000-103-1993-0497319931026<NA>3폐업2폐업19950428<NA><NA><NA>020937007448.66139942서울특별시 노원구 상계동 708-1번지<NA><NA>코만도2001-09-29 00:00:00I2018-08-31 23:59:59.0단란주점205098.434665461347.022787단란주점00기타갑상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N48.66<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
22431000003100000-103-2004-0000120040319<NA>3폐업2폐업20091119<NA><NA><NA>9338710130.92139942서울특별시 노원구 상계동 705-1번지<NA><NA>젠더젠더2008-12-29 16:00:17I2018-08-31 23:59:59.0단란주점205048.632953461297.834142단란주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N130.92<NA><NA><NA>
22531000003100000-103-2004-0000220040503<NA>3폐업2폐업20050104<NA><NA><NA>9310769137.85139942서울특별시 노원구 상계동 703-2번지<NA><NA>헐단란주점2004-05-03 00:00:00I2018-08-31 23:59:59.0단란주점205039.048056461358.96922단란주점00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N137.85<NA><NA><NA>
22631000003100000-103-2004-0000320041119<NA>3폐업2폐업20070413<NA><NA><NA>932778868.43139832서울특별시 노원구 상계동 724번지<NA><NA>물하우스2004-11-19 00:00:00I2018-08-31 23:59:59.0단란주점205415.542387461328.596334단란주점00<NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N68.43<NA><NA><NA>
22731000003100000-103-2005-0000120051109<NA>1영업/정상1영업<NA><NA><NA><NA>9779754138.25139808서울특별시 노원구 공릉동 661-3번지서울특별시 노원구 화랑로 449-8 (공릉동)1849헬리우스노래방(주점)2013-11-14 13:03:56I2018-08-31 23:59:59.0단란주점206762.466286457382.538483단란주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N138.25<NA><NA><NA>
22831000003100000-103-2007-0000120070709<NA>3폐업2폐업20130510<NA><NA><NA>02 932737364.9139200서울특별시 노원구 상계동 703-3번지<NA><NA>지중해2008-01-17 13:19:56I2018-08-31 23:59:59.0단란주점<NA><NA>단란주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N64.9<NA><NA><NA>
22931000003100000-103-2007-0000220071004<NA>3폐업2폐업20180430<NA><NA><NA>02 937 8145127.8139942서울특별시 노원구 상계동 710번지 3층서울특별시 노원구 노해로77길 14-3 (상계동,3층)1689오픈로드의 열린연주회2018-04-30 15:50:52I2018-08-31 23:59:59.0단란주점205164.054482461393.748689단란주점<NA><NA>유흥업소밀집지역<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N127.8<NA><NA><NA>
23031000003100000-103-2008-0000120080212<NA>3폐업2폐업20190717<NA><NA><NA>935 535564.52139942서울특별시 노원구 상계동 704번지 지하1층서울특별시 노원구 노해로75길 14-2, 지하1층 (상계동)1689김여사 도시락2019-07-17 13:33:40U2019-07-19 02:40:00.0단란주점205015.889474461323.920685단란주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N64.52<NA><NA><NA>
23131000003100000-103-2012-0000120120615<NA>3폐업2폐업20131029<NA><NA><NA>02 933 4486103.95139942서울특별시 노원구 상계동 708-3번지 지하1층서울특별시 노원구 노해로75길 지하 14-26, 1층 (상계동, 효림빌딩)<NA>르네상스2012-08-17 16:12:11I2018-08-31 23:59:59.0단란주점205127.802821461355.240415단란주점<NA><NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N103.95<NA><NA><NA>
23231000003100000-103-2012-0000220121031<NA>1영업/정상1영업<NA><NA><NA><NA><NA>144.65139808서울특별시 노원구 공릉동 661-11번지 지하1층서울특별시 노원구 공릉로 95, 지하1층 (공릉동)1849놀이터2019-06-21 10:52:18U2019-06-23 02:40:00.0단란주점206841.762398457391.995285단란주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N144.65<NA><NA><NA>
23331000003100000-103-2014-0000120140228<NA>1영업/정상1영업<NA><NA><NA><NA><NA>80.96139832서울특별시 노원구 상계동 724-3번지 지하6호서울특별시 노원구 노해로 494, 지하6호 (상계동)1751신바람7080라이브2019-01-02 12:03:28U2019-01-04 02:40:00.0단란주점205489.76188461349.759738단란주점<NA><NA>학교정화(상대)<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N80.96<NA><NA><NA>