Overview

Dataset statistics

Number of variables44
Number of observations336
Missing cells3563
Missing cells (%)24.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory124.2 KiB
Average record size in memory378.4 B

Variable types

Categorical20
Text6
DateTime3
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-18531/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 is highly imbalanced (64.0%)Imbalance
등급구분명 is highly imbalanced (50.8%)Imbalance
총인원 is highly imbalanced (76.4%)Imbalance
본사종업원수 is highly imbalanced (76.4%)Imbalance
공장사무직종업원수 is highly imbalanced (76.4%)Imbalance
공장판매직종업원수 is highly imbalanced (76.4%)Imbalance
공장생산직종업원수 is highly imbalanced (76.4%)Imbalance
보증액 is highly imbalanced (76.4%)Imbalance
월세액 is highly imbalanced (76.4%)Imbalance
인허가취소일자 has 336 (100.0%) missing valuesMissing
폐업일자 has 70 (20.8%) missing valuesMissing
휴업시작일자 has 336 (100.0%) missing valuesMissing
휴업종료일자 has 336 (100.0%) missing valuesMissing
재개업일자 has 336 (100.0%) missing valuesMissing
소재지면적 has 253 (75.3%) missing valuesMissing
도로명주소 has 238 (70.8%) missing valuesMissing
도로명우편번호 has 239 (71.1%) missing valuesMissing
좌표정보(X) has 13 (3.9%) missing valuesMissing
좌표정보(Y) has 13 (3.9%) missing valuesMissing
건물소유구분명 has 336 (100.0%) missing valuesMissing
다중이용업소여부 has 23 (6.8%) missing valuesMissing
시설총규모 has 23 (6.8%) missing valuesMissing
전통업소지정번호 has 336 (100.0%) missing valuesMissing
전통업소주된음식 has 336 (100.0%) missing valuesMissing
홈페이지 has 336 (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 started2024-04-06 12:03:59.132763
Analysis finished2024-04-06 12:04:00.169551
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
3040000
336 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 336
100.0%

Length

2024-04-06T21:04:00.306841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:00.507487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 336
100.0%

관리번호
Text

UNIQUE 

Distinct336
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-06T21:04:00.844374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters7392
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

Unique336 ?
Unique (%)100.0%

Sample

1st row3040000-103-1993-06863
2nd row3040000-103-1993-06865
3rd row3040000-103-1993-06871
4th row3040000-103-1993-06877
5th row3040000-103-1993-06886
ValueCountFrequency (%)
3040000-103-1993-06863 1
 
0.3%
3040000-103-1996-07098 1
 
0.3%
3040000-103-1996-07112 1
 
0.3%
3040000-103-1996-07111 1
 
0.3%
3040000-103-1996-07109 1
 
0.3%
3040000-103-1996-07106 1
 
0.3%
3040000-103-1996-07105 1
 
0.3%
3040000-103-1996-07103 1
 
0.3%
3040000-103-1996-07102 1
 
0.3%
3040000-103-1996-07101 1
 
0.3%
Other values (326) 326
97.0%
2024-04-06T21:04:01.458571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2524
34.1%
- 1008
 
13.6%
1 837
 
11.3%
9 829
 
11.2%
3 790
 
10.7%
4 483
 
6.5%
7 314
 
4.2%
6 259
 
3.5%
5 135
 
1.8%
8 132
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6384
86.4%
Dash Punctuation 1008
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2524
39.5%
1 837
 
13.1%
9 829
 
13.0%
3 790
 
12.4%
4 483
 
7.6%
7 314
 
4.9%
6 259
 
4.1%
5 135
 
2.1%
8 132
 
2.1%
2 81
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 1008
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7392
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2524
34.1%
- 1008
 
13.6%
1 837
 
11.3%
9 829
 
11.2%
3 790
 
10.7%
4 483
 
6.5%
7 314
 
4.2%
6 259
 
3.5%
5 135
 
1.8%
8 132
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7392
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2524
34.1%
- 1008
 
13.6%
1 837
 
11.3%
9 829
 
11.2%
3 790
 
10.7%
4 483
 
6.5%
7 314
 
4.2%
6 259
 
3.5%
5 135
 
1.8%
8 132
 
1.8%

인허가일자
Date

Distinct270
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1993-09-03 00:00:00
Maximum2012-05-09 00:00:00
2024-04-06T21:04:01.729503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:04:01.974112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing336
Missing (%)100.0%
Memory size3.1 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
3
266 
1
70 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 266
79.2%
1 70
 
20.8%

Length

2024-04-06T21:04:02.208269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:02.382241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 266
79.2%
1 70
 
20.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
폐업
266 
영업/정상
70 

Length

Max length5
Median length2
Mean length2.625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 266
79.2%
영업/정상 70
 
20.8%

Length

2024-04-06T21:04:02.534863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:02.690083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 266
79.2%
영업/정상 70
 
20.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2
266 
1
70 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 266
79.2%
1 70
 
20.8%

Length

2024-04-06T21:04:02.857113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:03.029008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 266
79.2%
1 70
 
20.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
폐업
266 
영업
70 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 266
79.2%
영업 70
 
20.8%

Length

2024-04-06T21:04:03.203681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:03.375415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 266
79.2%
영업 70
 
20.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct215
Distinct (%)80.8%
Missing70
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean20024167
Minimum19940514
Maximum20221227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:04:03.566502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19940514
5-th percentile19950476
Q119980619
median20010213
Q320050734
95-th percentile20180580
Maximum20221227
Range280713
Interquartile range (IQR)70115.25

Descriptive statistics

Standard deviation65659.433
Coefficient of variation (CV)0.0032790094
Kurtosis1.3125849
Mean20024167
Median Absolute Deviation (MAD)39205.5
Skewness1.3019666
Sum5.3264285 × 109
Variance4.3111611 × 109
MonotonicityNot monotonic
2024-04-06T21:04:03.807720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20001101 14
 
4.2%
20020930 4
 
1.2%
19990325 3
 
0.9%
20010110 3
 
0.9%
20060327 3
 
0.9%
20020828 3
 
0.9%
20050131 3
 
0.9%
19970204 3
 
0.9%
20010828 3
 
0.9%
20020228 3
 
0.9%
Other values (205) 224
66.7%
(Missing) 70
 
20.8%
ValueCountFrequency (%)
19940514 1
0.3%
19940613 1
0.3%
19940812 1
0.3%
19940822 1
0.3%
19941001 1
0.3%
19941006 1
0.3%
19941102 1
0.3%
19941117 1
0.3%
19950104 1
0.3%
19950204 2
0.6%
ValueCountFrequency (%)
20221227 1
0.3%
20220311 1
0.3%
20220217 1
0.3%
20220125 2
0.6%
20211228 1
0.3%
20210810 1
0.3%
20210719 1
0.3%
20201109 1
0.3%
20201013 1
0.3%
20190717 1
0.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing336
Missing (%)100.0%
Memory size3.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing336
Missing (%)100.0%
Memory size3.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing336
Missing (%)100.0%
Memory size3.1 KiB

전화번호
Text

Distinct315
Distinct (%)94.6%
Missing3
Missing (%)0.9%
Memory size2.8 KiB
2024-04-06T21:04:04.288563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.8708709
Min length2

Characters and Unicode

Total characters3287
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

Unique300 ?
Unique (%)90.1%

Sample

1st row02 4562433
2nd row02 4546716
3rd row0206873232
4th row0204672906
5th row02 5374199
ValueCountFrequency (%)
02 282
46.2%
4983535 2
 
0.3%
4577078 2
 
0.3%
4567577 2
 
0.3%
4551033 2
 
0.3%
4990603 2
 
0.3%
4440524 2
 
0.3%
4548885 2
 
0.3%
4520808 2
 
0.3%
4999732 2
 
0.3%
Other values (306) 311
50.9%
2024-04-06T21:04:04.863927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 563
17.1%
2 509
15.5%
4 495
15.1%
283
8.6%
6 271
8.2%
5 248
7.5%
3 216
 
6.6%
9 188
 
5.7%
7 186
 
5.7%
8 164
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3004
91.4%
Space Separator 283
 
8.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 563
18.7%
2 509
16.9%
4 495
16.5%
6 271
9.0%
5 248
8.3%
3 216
 
7.2%
9 188
 
6.3%
7 186
 
6.2%
8 164
 
5.5%
1 164
 
5.5%
Space Separator
ValueCountFrequency (%)
283
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3287
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 563
17.1%
2 509
15.5%
4 495
15.1%
283
8.6%
6 271
8.2%
5 248
7.5%
3 216
 
6.6%
9 188
 
5.7%
7 186
 
5.7%
8 164
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3287
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 563
17.1%
2 509
15.5%
4 495
15.1%
283
8.6%
6 271
8.2%
5 248
7.5%
3 216
 
6.6%
9 188
 
5.7%
7 186
 
5.7%
8 164
 
5.0%

소재지면적
Real number (ℝ)

MISSING 

Distinct83
Distinct (%)100.0%
Missing253
Missing (%)75.3%
Infinite0
Infinite (%)0.0%
Mean108.43229
Minimum33.83
Maximum679.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:04:05.089813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.83
5-th percentile55.398
Q172.615
median96.58
Q3124.51
95-th percentile148.463
Maximum679.67
Range645.84
Interquartile range (IQR)51.895

Descriptive statistics

Standard deviation76.420204
Coefficient of variation (CV)0.7047735
Kurtosis38.937008
Mean108.43229
Median Absolute Deviation (MAD)27.08
Skewness5.5284622
Sum8999.88
Variance5840.0475
MonotonicityNot monotonic
2024-04-06T21:04:05.328674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71.5 1
 
0.3%
97.45 1
 
0.3%
105.47 1
 
0.3%
67.98 1
 
0.3%
75.1 1
 
0.3%
62.23 1
 
0.3%
69.5 1
 
0.3%
135.61 1
 
0.3%
98.33 1
 
0.3%
120.44 1
 
0.3%
Other values (73) 73
 
21.7%
(Missing) 253
75.3%
ValueCountFrequency (%)
33.83 1
0.3%
35.05 1
0.3%
48.48 1
0.3%
51.7 1
0.3%
55.27 1
0.3%
56.55 1
0.3%
58.59 1
0.3%
59.4 1
0.3%
59.62 1
0.3%
60.19 1
0.3%
ValueCountFrequency (%)
679.67 1
0.3%
317.34 1
0.3%
273.25 1
0.3%
151.46 1
0.3%
149.15 1
0.3%
142.28 1
0.3%
141.14 1
0.3%
140.82 1
0.3%
140.44 1
0.3%
139.97 1
0.3%

소재지우편번호
Text

Distinct72
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-06T21:04:05.673368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0386905
Min length6

Characters and Unicode

Total characters2029
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

Unique26 ?
Unique (%)7.7%

Sample

1st row143864
2nd row143826
3rd row143903
4th row143915
5th row143819
ValueCountFrequency (%)
143915 35
 
10.4%
143841 27
 
8.0%
143825 24
 
7.1%
143916 21
 
6.2%
143826 19
 
5.7%
143917 13
 
3.9%
143838 13
 
3.9%
143914 11
 
3.3%
143828 9
 
2.7%
143866 8
 
2.4%
Other values (62) 156
46.4%
2024-04-06T21:04:06.322121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 482
23.8%
4 403
19.9%
3 374
18.4%
8 268
13.2%
9 140
 
6.9%
2 93
 
4.6%
5 81
 
4.0%
6 80
 
3.9%
0 55
 
2.7%
7 40
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2016
99.4%
Dash Punctuation 13
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 482
23.9%
4 403
20.0%
3 374
18.6%
8 268
13.3%
9 140
 
6.9%
2 93
 
4.6%
5 81
 
4.0%
6 80
 
4.0%
0 55
 
2.7%
7 40
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2029
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 482
23.8%
4 403
19.9%
3 374
18.4%
8 268
13.2%
9 140
 
6.9%
2 93
 
4.6%
5 81
 
4.0%
6 80
 
3.9%
0 55
 
2.7%
7 40
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2029
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 482
23.8%
4 403
19.9%
3 374
18.4%
8 268
13.2%
9 140
 
6.9%
2 93
 
4.6%
5 81
 
4.0%
6 80
 
3.9%
0 55
 
2.7%
7 40
 
2.0%

지번주소
Text

Distinct301
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-06T21:04:06.939543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length25
Mean length21.910714
Min length17

Characters and Unicode

Total characters7362
Distinct characters46
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

Unique269 ?
Unique (%)80.1%

Sample

1st row서울특별시 광진구 자양동 581-4
2nd row서울특별시 광진구 구의동 252-109번지
3rd row서울특별시 광진구 중곡동 231-39번지
4th row서울특별시 광진구 화양동 115-7번지
5th row서울특별시 광진구 구의동 78-7번지
ValueCountFrequency (%)
서울특별시 336
24.8%
광진구 336
24.8%
구의동 98
 
7.2%
화양동 81
 
6.0%
자양동 71
 
5.2%
중곡동 47
 
3.5%
광장동 16
 
1.2%
군자동 14
 
1.0%
능동 9
 
0.7%
2-47번지 3
 
0.2%
Other values (307) 342
25.3%
2024-04-06T21:04:07.987606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1330
18.1%
구 435
 
5.9%
광 352
 
4.8%
서 336
 
4.6%
특 336
 
4.6%
별 336
 
4.6%
시 336
 
4.6%
진 336
 
4.6%
울 336
 
4.6%
동 336
 
4.6%
Other values (36) 2893
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4257
57.8%
Decimal Number 1435
 
19.5%
Space Separator 1330
 
18.1%
Dash Punctuation 333
 
4.5%
Other Punctuation 4
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 435
10.2%
광 352
8.3%
서 336
7.9%
특 336
7.9%
별 336
7.9%
시 336
7.9%
진 336
7.9%
울 336
7.9%
동 336
7.9%
지 280
 
6.6%
Other values (19) 838
19.7%
Decimal Number
ValueCountFrequency (%)
2 291
20.3%
1 269
18.7%
4 144
10.0%
7 127
8.9%
3 125
8.7%
6 120
8.4%
5 108
 
7.5%
9 94
 
6.6%
8 81
 
5.6%
0 76
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
: 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1330
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 333
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4257
57.8%
Common 3104
42.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 435
10.2%
광 352
8.3%
서 336
7.9%
특 336
7.9%
별 336
7.9%
시 336
7.9%
진 336
7.9%
울 336
7.9%
동 336
7.9%
지 280
 
6.6%
Other values (19) 838
19.7%
Common
ValueCountFrequency (%)
1330
42.8%
- 333
 
10.7%
2 291
 
9.4%
1 269
 
8.7%
4 144
 
4.6%
7 127
 
4.1%
3 125
 
4.0%
6 120
 
3.9%
5 108
 
3.5%
9 94
 
3.0%
Other values (6) 163
 
5.3%
Latin
ValueCountFrequency (%)
F 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4257
57.8%
ASCII 3105
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1330
42.8%
- 333
 
10.7%
2 291
 
9.4%
1 269
 
8.7%
4 144
 
4.6%
7 127
 
4.1%
3 125
 
4.0%
6 120
 
3.9%
5 108
 
3.5%
9 94
 
3.0%
Other values (7) 164
 
5.3%
Hangul
ValueCountFrequency (%)
구 435
10.2%
광 352
8.3%
서 336
7.9%
특 336
7.9%
별 336
7.9%
시 336
7.9%
진 336
7.9%
울 336
7.9%
동 336
7.9%
지 280
 
6.6%
Other values (19) 838
19.7%

도로명주소
Text

MISSING 

Distinct97
Distinct (%)99.0%
Missing238
Missing (%)70.8%
Memory size2.8 KiB
2024-04-06T21:04:08.719918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32
Mean length24.857143
Min length22

Characters and Unicode

Total characters2436
Distinct characters63
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)98.0%

Sample

1st row서울특별시 광진구 자양번영로 31 (자양동)
2nd row서울특별시 광진구 아차산로51길 4 (구의동)
3rd row서울특별시 광진구 자양로 112 (구의동)
4th row서울특별시 광진구 자양로13길 26, 지층 (자양동)
5th row서울특별시 광진구 뚝섬로 680 (자양동)
ValueCountFrequency (%)
서울특별시 98
19.7%
광진구 98
19.7%
구의동 24
 
4.8%
자양동 24
 
4.8%
화양동 18
 
3.6%
중곡동 15
 
3.0%
광장동 10
 
2.0%
아차산로 10
 
2.0%
자양로18길 6
 
1.2%
자양로 6
 
1.2%
Other values (115) 188
37.8%
2024-04-06T21:04:09.682539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
399
 
16.4%
구 125
 
5.1%
동 122
 
5.0%
광 112
 
4.6%
( 99
 
4.1%
) 99
 
4.1%
울 98
 
4.0%
로 98
 
4.0%
서 98
 
4.0%
특 98
 
4.0%
Other values (53) 1088
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1480
60.8%
Space Separator 399
 
16.4%
Decimal Number 343
 
14.1%
Open Punctuation 99
 
4.1%
Close Punctuation 99
 
4.1%
Other Punctuation 10
 
0.4%
Dash Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 125
 
8.4%
동 122
 
8.2%
광 112
 
7.6%
울 98
 
6.6%
로 98
 
6.6%
서 98
 
6.6%
특 98
 
6.6%
진 98
 
6.6%
시 98
 
6.6%
별 98
 
6.6%
Other values (37) 435
29.4%
Decimal Number
ValueCountFrequency (%)
1 79
23.0%
2 45
13.1%
3 38
11.1%
8 35
10.2%
4 31
 
9.0%
7 27
 
7.9%
5 25
 
7.3%
6 23
 
6.7%
0 20
 
5.8%
9 20
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
: 1
 
10.0%
Space Separator
ValueCountFrequency (%)
399
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1480
60.8%
Common 956
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 125
 
8.4%
동 122
 
8.2%
광 112
 
7.6%
울 98
 
6.6%
로 98
 
6.6%
서 98
 
6.6%
특 98
 
6.6%
진 98
 
6.6%
시 98
 
6.6%
별 98
 
6.6%
Other values (37) 435
29.4%
Common
ValueCountFrequency (%)
399
41.7%
( 99
 
10.4%
) 99
 
10.4%
1 79
 
8.3%
2 45
 
4.7%
3 38
 
4.0%
8 35
 
3.7%
4 31
 
3.2%
7 27
 
2.8%
5 25
 
2.6%
Other values (6) 79
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1480
60.8%
ASCII 956
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
399
41.7%
( 99
 
10.4%
) 99
 
10.4%
1 79
 
8.3%
2 45
 
4.7%
3 38
 
4.0%
8 35
 
3.7%
4 31
 
3.2%
7 27
 
2.8%
5 25
 
2.6%
Other values (6) 79
 
8.3%
Hangul
ValueCountFrequency (%)
구 125
 
8.4%
동 122
 
8.2%
광 112
 
7.6%
울 98
 
6.6%
로 98
 
6.6%
서 98
 
6.6%
특 98
 
6.6%
진 98
 
6.6%
시 98
 
6.6%
별 98
 
6.6%
Other values (37) 435
29.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)52.6%
Missing239
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean5014.5155
Minimum4904
Maximum5117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:04:09.971748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4904
5-th percentile4913.8
Q14969
median5019
Q35052
95-th percentile5086.4
Maximum5117
Range213
Interquartile range (IQR)83

Descriptive statistics

Standard deviation53.720557
Coefficient of variation (CV)0.01071301
Kurtosis-0.6596884
Mean5014.5155
Median Absolute Deviation (MAD)37
Skewness-0.46236815
Sum486408
Variance2885.8982
MonotonicityNot monotonic
2024-04-06T21:04:10.268039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5009 8
 
2.4%
5044 8
 
2.4%
4969 8
 
2.4%
5043 5
 
1.5%
5073 5
 
1.5%
5018 3
 
0.9%
5019 3
 
0.9%
4997 3
 
0.9%
5057 3
 
0.9%
4963 2
 
0.6%
Other values (41) 49
 
14.6%
(Missing) 239
71.1%
ValueCountFrequency (%)
4904 1
0.3%
4908 2
0.6%
4911 1
0.3%
4913 1
0.3%
4914 2
0.6%
4915 1
0.3%
4918 1
0.3%
4930 1
0.3%
4931 1
0.3%
4934 1
0.3%
ValueCountFrequency (%)
5117 1
 
0.3%
5103 1
 
0.3%
5099 1
 
0.3%
5098 1
 
0.3%
5092 1
 
0.3%
5085 1
 
0.3%
5081 1
 
0.3%
5080 2
 
0.6%
5079 1
 
0.3%
5073 5
1.5%

사업장명
Text

Distinct311
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-04-06T21:04:10.807470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length5.514881
Min length1

Characters and Unicode

Total characters1853
Distinct characters312
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

Unique290 ?
Unique (%)86.3%

Sample

1st row골드
2nd row불야성
3rd row로얄
4th row만남소주방
5th row하여가
ValueCountFrequency (%)
월드컵단란주점 4
 
1.2%
단란주점 4
 
1.2%
청록단란주점 3
 
0.9%
라이브 3
 
0.9%
골드 3
 
0.9%
크로바단란주점 2
 
0.6%
로마단란주점 2
 
0.6%
스타단란주점 2
 
0.6%
그린단란주점 2
 
0.6%
서편제 2
 
0.6%
Other values (306) 319
92.2%
2024-04-06T21:04:11.593366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 182
 
9.8%
점 178
 
9.6%
단 170
 
9.2%
란 170
 
9.2%
스 44
 
2.4%
리 29
 
1.6%
이 29
 
1.6%
래 25
 
1.3%
0 24
 
1.3%
노 24
 
1.3%
Other values (302) 978
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1749
94.4%
Decimal Number 51
 
2.8%
Uppercase Letter 16
 
0.9%
Lowercase Letter 12
 
0.6%
Space Separator 10
 
0.5%
Open Punctuation 7
 
0.4%
Close Punctuation 7
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 182
 
10.4%
점 178
 
10.2%
단 170
 
9.7%
란 170
 
9.7%
스 44
 
2.5%
리 29
 
1.7%
이 29
 
1.7%
래 25
 
1.4%
노 24
 
1.4%
지 22
 
1.3%
Other values (272) 876
50.1%
Uppercase Letter
ValueCountFrequency (%)
E 2
12.5%
S 2
12.5%
J 2
12.5%
R 2
12.5%
P 1
6.2%
I 1
6.2%
B 1
6.2%
C 1
6.2%
A 1
6.2%
V 1
6.2%
Other values (2) 2
12.5%
Lowercase Letter
ValueCountFrequency (%)
c 3
25.0%
o 3
25.0%
k 1
 
8.3%
l 1
 
8.3%
e 1
 
8.3%
i 1
 
8.3%
r 1
 
8.3%
s 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
0 24
47.1%
7 12
23.5%
8 12
23.5%
2 1
 
2.0%
6 1
 
2.0%
1 1
 
2.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1749
94.4%
Common 76
 
4.1%
Latin 28
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 182
 
10.4%
점 178
 
10.2%
단 170
 
9.7%
란 170
 
9.7%
스 44
 
2.5%
리 29
 
1.7%
이 29
 
1.7%
래 25
 
1.4%
노 24
 
1.4%
지 22
 
1.3%
Other values (272) 876
50.1%
Latin
ValueCountFrequency (%)
c 3
 
10.7%
o 3
 
10.7%
E 2
 
7.1%
S 2
 
7.1%
J 2
 
7.1%
R 2
 
7.1%
P 1
 
3.6%
I 1
 
3.6%
k 1
 
3.6%
l 1
 
3.6%
Other values (10) 10
35.7%
Common
ValueCountFrequency (%)
0 24
31.6%
7 12
15.8%
8 12
15.8%
10
13.2%
( 7
 
9.2%
) 7
 
9.2%
2 1
 
1.3%
6 1
 
1.3%
1 1
 
1.3%
: 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1749
94.4%
ASCII 104
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 182
 
10.4%
점 178
 
10.2%
단 170
 
9.7%
란 170
 
9.7%
스 44
 
2.5%
리 29
 
1.7%
이 29
 
1.7%
래 25
 
1.4%
노 24
 
1.4%
지 22
 
1.3%
Other values (272) 876
50.1%
ASCII
ValueCountFrequency (%)
0 24
23.1%
7 12
11.5%
8 12
11.5%
10
9.6%
( 7
 
6.7%
) 7
 
6.7%
c 3
 
2.9%
o 3
 
2.9%
E 2
 
1.9%
S 2
 
1.9%
Other values (20) 22
21.2%

최종수정일자
Date

Distinct176
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1999-05-10 00:00:00
Maximum2024-02-08 14:23:34
2024-04-06T21:04:11.865975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:04:12.216214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
I
253 
U
83 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 253
75.3%
U 83
 
24.7%

Length

2024-04-06T21:04:12.510319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:12.715924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 253
75.3%
u 83
 
24.7%

데이터갱신일자
Date

Distinct60
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-01 23:01:00
2024-04-06T21:04:12.929868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:04:13.198145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
단란주점
336 

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 336
100.0%

Length

2024-04-06T21:04:13.449534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:13.646256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 336
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct279
Distinct (%)86.4%
Missing13
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean207017.74
Minimum205321.28
Maximum209766.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:04:13.864830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205321.28
5-th percentile205841.14
Q1206135.53
median207145.53
Q3207500.2
95-th percentile208382.36
Maximum209766.97
Range4445.6888
Interquartile range (IQR)1364.6688

Descriptive statistics

Standard deviation915.85665
Coefficient of variation (CV)0.0044240491
Kurtosis0.53655755
Mean207017.74
Median Absolute Deviation (MAD)702.54162
Skewness0.62209058
Sum66866731
Variance838793.4
MonotonicityNot monotonic
2024-04-06T21:04:14.120686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206952.834606486 3
 
0.9%
208385.614875431 3
 
0.9%
206376.250562824 3
 
0.9%
206058.900111324 3
 
0.9%
207107.362225734 2
 
0.6%
207528.015993508 2
 
0.6%
207380.5402062 2
 
0.6%
207478.711512251 2
 
0.6%
206068.015430385 2
 
0.6%
207428.868256356 2
 
0.6%
Other values (269) 299
89.0%
(Missing) 13
 
3.9%
ValueCountFrequency (%)
205321.284730435 1
0.3%
205375.621853229 1
0.3%
205391.382375241 1
0.3%
205409.872008156 1
0.3%
205442.842 1
0.3%
205458.029352736 1
0.3%
205530.109567924 1
0.3%
205540.082598602 1
0.3%
205548.689811343 1
0.3%
205670.818852306 1
0.3%
ValueCountFrequency (%)
209766.973555533 2
0.6%
209734.218553133 1
0.3%
209602.113978282 2
0.6%
209559.478407599 2
0.6%
209545.765272486 1
0.3%
209495.840303416 1
0.3%
209466.623798475 1
0.3%
209433.056005011 1
0.3%
209430.368421197 1
0.3%
209416.956231521 1
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct279
Distinct (%)86.4%
Missing13
Missing (%)3.9%
Infinite0
Infinite (%)0.0%
Mean449210.15
Minimum447717.45
Maximum451854.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:04:15.170252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447717.45
5-th percentile447878.04
Q1448436.92
median448852.3
Q3449523.48
95-th percentile451181.83
Maximum451854.5
Range4137.0533
Interquartile range (IQR)1086.5584

Descriptive statistics

Standard deviation979.36626
Coefficient of variation (CV)0.0021801962
Kurtosis-0.23751985
Mean449210.15
Median Absolute Deviation (MAD)574.58899
Skewness0.78462335
Sum1.4509488 × 108
Variance959158.27
MonotonicityNot monotonic
2024-04-06T21:04:15.481936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451192.786326089 3
 
0.9%
448722.952514146 3
 
0.9%
449455.046135201 3
 
0.9%
448430.253418044 3
 
0.9%
450416.391294215 2
 
0.6%
448344.15499871 2
 
0.6%
448360.699483182 2
 
0.6%
448735.890892572 2
 
0.6%
448761.63233912 2
 
0.6%
448444.894623499 2
 
0.6%
Other values (269) 299
89.0%
(Missing) 13
 
3.9%
ValueCountFrequency (%)
447717.445119677 1
0.3%
447720.581353851 1
0.3%
447746.321126737 1
0.3%
447773.810030137 1
0.3%
447805.848817966 1
0.3%
447806.088004584 1
0.3%
447818.629951673 1
0.3%
447819.070387547 1
0.3%
447820.703222118 1
0.3%
447840.362082756 1
0.3%
ValueCountFrequency (%)
451854.498468228 1
0.3%
451840.405435241 1
0.3%
451773.6153206 1
0.3%
451764.009708785 1
0.3%
451641.717096036 2
0.6%
451428.393141132 1
0.3%
451370.819547424 2
0.6%
451291.339875688 1
0.3%
451251.692662707 1
0.3%
451232.334815952 1
0.3%

위생업태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
단란주점
313 
<NA>
 
23

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 313
93.2%
<NA> 23
 
6.8%

Length

2024-04-06T21:04:15.751765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:15.985359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단란주점 313
93.2%
na 23
 
6.8%

남성종사자수
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
0
246 
<NA>
89 
1
 
1

Length

Max length4
Median length1
Mean length1.7946429
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 246
73.2%
<NA> 89
 
26.5%
1 1
 
0.3%

Length

2024-04-06T21:04:16.214776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:16.459703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 246
73.2%
na 89
 
26.5%
1 1
 
0.3%

여성종사자수
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
0
246 
<NA>
89 
1
 
1

Length

Max length4
Median length1
Mean length1.7946429
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 246
73.2%
<NA> 89
 
26.5%
1 1
 
0.3%

Length

2024-04-06T21:04:16.708170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:16.936226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 246
73.2%
na 89
 
26.5%
1 1
 
0.3%

영업장주변구분명
Categorical

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
주택가주변
165 
기타
81 
<NA>
61 
유흥업소밀집지역
27 
학교정화(상대)
 
1

Length

Max length8
Median length7
Mean length4.3511905
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
주택가주변 165
49.1%
기타 81
24.1%
<NA> 61
 
18.2%
유흥업소밀집지역 27
 
8.0%
학교정화(상대) 1
 
0.3%
결혼예식장주변 1
 
0.3%

Length

2024-04-06T21:04:17.195394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:17.497352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택가주변 165
49.1%
기타 81
24.1%
na 61
 
18.2%
유흥업소밀집지역 27
 
8.0%
학교정화(상대 1
 
0.3%
결혼예식장주변 1
 
0.3%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
기타
270 
<NA>
62 
자율
 
4

Length

Max length4
Median length2
Mean length2.3690476
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 270
80.4%
<NA> 62
 
18.5%
자율 4
 
1.2%

Length

2024-04-06T21:04:17.767826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:18.018859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 270
80.4%
na 62
 
18.5%
자율 4
 
1.2%

급수시설구분명
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
상수도전용
275 
<NA>
61 

Length

Max length5
Median length5
Mean length4.8184524
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 275
81.8%
<NA> 61
 
18.2%

Length

2024-04-06T21:04:18.220111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:18.386657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 275
81.8%
na 61
 
18.2%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
323 
0
 
13

Length

Max length4
Median length4
Mean length3.8839286
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> 323
96.1%
0 13
 
3.9%

Length

2024-04-06T21:04:18.582154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:18.761190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 323
96.1%
0 13
 
3.9%

본사종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
323 
0
 
13

Length

Max length4
Median length4
Mean length3.8839286
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> 323
96.1%
0 13
 
3.9%

Length

2024-04-06T21:04:18.943649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:19.141219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 323
96.1%
0 13
 
3.9%

공장사무직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
323 
0
 
13

Length

Max length4
Median length4
Mean length3.8839286
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> 323
96.1%
0 13
 
3.9%

Length

2024-04-06T21:04:19.334801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:19.503923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 323
96.1%
0 13
 
3.9%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
323 
0
 
13

Length

Max length4
Median length4
Mean length3.8839286
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> 323
96.1%
0 13
 
3.9%

Length

2024-04-06T21:04:19.693033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:19.886232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 323
96.1%
0 13
 
3.9%

공장생산직종업원수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
323 
0
 
13

Length

Max length4
Median length4
Mean length3.8839286
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> 323
96.1%
0 13
 
3.9%

Length

2024-04-06T21:04:20.109128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:20.335472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 323
96.1%
0 13
 
3.9%

건물소유구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing336
Missing (%)100.0%
Memory size3.1 KiB

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
323 
0
 
13

Length

Max length4
Median length4
Mean length3.8839286
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> 323
96.1%
0 13
 
3.9%

Length

2024-04-06T21:04:20.567380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:20.790703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 323
96.1%
0 13
 
3.9%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
323 
0
 
13

Length

Max length4
Median length4
Mean length3.8839286
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> 323
96.1%
0 13
 
3.9%

Length

2024-04-06T21:04:20.978604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:04:21.152422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 323
96.1%
0 13
 
3.9%

다중이용업소여부
Boolean

MISSING 

Distinct2
Distinct (%)0.6%
Missing23
Missing (%)6.8%
Memory size804.0 B
False
254 
True
59 
(Missing)
 
23
ValueCountFrequency (%)
False 254
75.6%
True 59
 
17.6%
(Missing) 23
 
6.8%
2024-04-06T21:04:21.309585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Real number (ℝ)

MISSING 

Distinct304
Distinct (%)97.1%
Missing23
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean103.07882
Minimum0
Maximum863.6
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-06T21:04:21.529593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54.794
Q174.67
median94.75
Q3119.86
95-th percentile141.912
Maximum863.6
Range863.6
Interquartile range (IQR)45.19

Descriptive statistics

Standard deviation75.906423
Coefficient of variation (CV)0.73639206
Kurtosis71.128131
Mean103.07882
Median Absolute Deviation (MAD)22.71
Skewness7.7492456
Sum32263.67
Variance5761.7851
MonotonicityNot monotonic
2024-04-06T21:04:21.806050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.22 2
 
0.6%
89.71 2
 
0.6%
117.46 2
 
0.6%
63.5 2
 
0.6%
96.48 2
 
0.6%
60.9 2
 
0.6%
55.68 2
 
0.6%
87.11 2
 
0.6%
93.34 2
 
0.6%
120.47 1
 
0.3%
Other values (294) 294
87.5%
(Missing) 23
 
6.8%
ValueCountFrequency (%)
0.0 1
0.3%
33.83 1
0.3%
34.94 1
0.3%
35.05 1
0.3%
39.0 1
0.3%
40.0 1
0.3%
44.16 1
0.3%
45.15 1
0.3%
46.14 1
0.3%
46.78 1
0.3%
ValueCountFrequency (%)
863.6 1
0.3%
846.18 1
0.3%
679.67 1
0.3%
317.34 1
0.3%
273.25 1
0.3%
151.46 1
0.3%
147.86 1
0.3%
145.22 1
0.3%
144.9 1
0.3%
143.85 1
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing336
Missing (%)100.0%
Memory size3.1 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing336
Missing (%)100.0%
Memory size3.1 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing336
Missing (%)100.0%
Memory size3.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030400003040000-103-1993-0686319931030<NA>1영업/정상1영업<NA><NA><NA><NA>02 456243397.94143864서울특별시 광진구 자양동 581-4서울특별시 광진구 자양번영로 31 (자양동)5092골드2021-01-18 17:16:34U2021-01-20 02:40:00.0단란주점206577.287991447806.088005단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y97.94<NA><NA><NA>
130400003040000-103-1993-0686519931122<NA>3폐업2폐업20001226<NA><NA><NA>02 4546716<NA>143826서울특별시 광진구 구의동 252-109번지<NA><NA>불야성2002-07-10 00:00:00I2018-08-31 23:59:59.0단란주점207330.347362448491.501667단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N113.82<NA><NA><NA>
230400003040000-103-1993-0687119931026<NA>3폐업2폐업19950403<NA><NA><NA>0206873232<NA>143903서울특별시 광진구 중곡동 231-39번지<NA><NA>로얄2001-11-29 00:00:00I2018-08-31 23:59:59.0단란주점207030.455594451370.819547단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N68.88<NA><NA><NA>
330400003040000-103-1993-0687719931227<NA>3폐업2폐업19960708<NA><NA><NA>0204672906<NA>143915서울특별시 광진구 화양동 115-7번지<NA><NA>만남소주방2001-11-29 00:00:00I2018-08-31 23:59:59.0단란주점206244.399931449468.678416단란주점00유흥업소밀집지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N102.06<NA><NA><NA>
430400003040000-103-1993-0688619931110<NA>3폐업2폐업19941102<NA><NA><NA>02 5374199<NA>143819서울특별시 광진구 구의동 78-7번지<NA><NA>하여가2001-11-29 00:00:00I2018-08-31 23:59:59.0단란주점207848.074658449668.698815단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N104.14<NA><NA><NA>
530400003040000-103-1993-0688819931123<NA>1영업/정상1영업<NA><NA><NA><NA>022201680633.83143825서울특별시 광진구 구의동 246-75서울특별시 광진구 아차산로51길 4 (구의동)5044두루한2021-07-12 14:48:14U2021-07-14 02:40:00.0단란주점207482.603716448345.610065단란주점00<NA><NA><NA>00000<NA>00Y33.83<NA><NA><NA>
630400003040000-103-1993-0688919930910<NA>3폐업2폐업20051222<NA><NA><NA>02 4624814<NA>143916서울특별시 광진구 화양동 19-38번지<NA><NA>크리스탈2003-09-18 00:00:00I2018-08-31 23:59:59.0단란주점206015.856576449471.601388단란주점00유흥업소밀집지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N141.48<NA><NA><NA>
730400003040000-103-1993-0689119931111<NA>3폐업2폐업19941001<NA><NA><NA>0200000000<NA>143904서울특별시 광진구 중곡동 244-3번지<NA><NA>목로단란주점2001-11-29 00:00:00I2018-08-31 23:59:59.0단란주점206994.423263451181.829269단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N94.75<NA><NA><NA>
830400003040000-103-1993-0689919930920<NA>3폐업2폐업19960806<NA><NA><NA>02 4686805<NA>143915서울특별시 광진구 화양동 116-7번지<NA><NA>보스단란주점2001-11-29 00:00:00I2018-08-31 23:59:59.0단란주점206217.622163449481.227741단란주점00유흥업소밀집지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N59.78<NA><NA><NA>
930400003040000-103-1993-0690219931129<NA>3폐업2폐업20051118<NA><NA><NA>02 4583446<NA>143866서울특별시 광진구 자양동 615-43번지<NA><NA>자유시인단란주점2005-03-04 00:00:00I2018-08-31 23:59:59.0단란주점206847.049593447818.629952단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N61.56<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
32630400003040000-103-1998-0721119980219<NA>3폐업2폐업19991006<NA><NA><NA>02 4638955<NA>143916서울특별시 광진구 화양동 17-1번지<NA><NA>파라오단란주점2001-11-29 00:00:00I2018-08-31 23:59:59.0단란주점206136.313461449461.628618단란주점<NA><NA>유흥업소밀집지역기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N131.0<NA><NA><NA>
32730400003040000-103-1998-0721219980512<NA>3폐업2폐업20011220<NA><NA><NA>02 4698443<NA>143904서울특별시 광진구 중곡동 245-1번지<NA><NA>뉴비지니스킹카2002-06-18 00:00:00I2018-08-31 23:59:59.0단란주점206952.834606451192.786326단란주점00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N83.0<NA><NA><NA>
32830400003040000-103-1998-0721519980825<NA>3폐업2폐업20020828<NA><NA><NA>0234362845<NA>143825서울특별시 광진구 구의동 243-30번지<NA><NA>동서울비지니스단란주점2001-11-29 00:00:00I2018-08-31 23:59:59.0단란주점207656.011434448448.727444단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N82.19<NA><NA><NA>
32930400003040000-103-1998-0721619980902<NA>3폐업2폐업20150901<NA><NA><NA>02 4479873<NA>143825서울특별시 광진구 구의동 246-40번지서울특별시 광진구 아차산로 389 (구의동)5044세븐2015-01-09 14:29:38I2018-08-31 23:59:59.0단란주점207528.015994448344.154999단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N93.34<NA><NA><NA>
33030400003040000-103-1998-0721719980902<NA>3폐업2폐업20010106<NA><NA><NA>02 4585009<NA>143819서울특별시 광진구 구의동 68-34번지<NA><NA>윙크 단란주점2001-01-10 00:00:00I2018-08-31 23:59:59.0단란주점207517.720725449235.503615단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N89.71<NA><NA><NA>
33130400003040000-103-1998-0721819981103<NA>1영업/정상1영업<NA><NA><NA><NA>02 4993743129.87143915서울특별시 광진구 화양동 111-161번지서울특별시 광진구 능동로19길 36 (화양동)5009화음노래광장2019-08-04 12:23:59U2019-08-06 02:40:00.0단란주점206276.769586449466.36074단란주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y129.87<NA><NA><NA>
33230400003040000-103-1998-0863019980216<NA>3폐업2폐업20101229<NA><NA><NA>0222013490<NA>143873서울특별시 광진구 자양동 679-31번지<NA><NA>쉬작2009-04-09 09:38:53I2018-08-31 23:59:59.0단란주점207459.254867447773.81003단란주점00기타기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N78.82<NA><NA><NA>
33330400003040000-103-1998-0863119980630<NA>3폐업2폐업20050321<NA><NA><NA><NA><NA>143916서울특별시 광진구 화양동 21-41번지<NA><NA>천지단란주점2005-08-03 00:00:00I2018-08-31 23:59:59.0단란주점205955.064737449500.90829단란주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
33430400003040000-103-2005-0000120050929<NA>3폐업2폐업20201013<NA><NA><NA>02 4555000679.67143800서울특별시 광진구 광장동 21서울특별시 광진구 워커힐로 177 (광장동)4963리바(Re:BAR)2020-10-13 14:30:10U2020-10-15 02:40:00.0단란주점209766.973556450385.000714단란주점<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y679.67<NA><NA><NA>
33530400003040000-103-2012-0000120120509<NA>3폐업2폐업20190522<NA><NA><NA><NA>273.25143803서울특별시 광진구 광장동 188-2번지서울특별시 광진구 아차산로78길 147, 지하1층 (광장동)4969썸2019-05-22 10:58:20U2019-05-24 02:40:00.0단란주점209602.113978449468.709626단란주점<NA><NA>기타<NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>Y273.25<NA><NA><NA>