Overview

Dataset statistics

Number of variables40
Number of observations289
Missing cells1063
Missing cells (%)9.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory97.5 KiB
Average record size in memory345.5 B

Variable types

Numeric9
Categorical22
Text4
DateTime2
Boolean2
Unsupported1

Dataset

Description전라남도 고흥군 미용업 현황에 대한 데이터로 소재지전체주소, 사업장명, 업태구분명, 위생업태명, 건물소유구분명 등을 제공합니다.
Author전라남도 고흥군
URLhttps://www.data.go.kr/data/15090497/fileData.do

Alerts

개방서비스명 has constant value ""Constant
개방서비스 아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
발한실여부 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
업태구분명 is highly imbalanced (62.5%)Imbalance
위생업태명 is highly imbalanced (51.6%)Imbalance
사용시작지하층 is highly imbalanced (58.6%)Imbalance
사용끝지하층 is highly imbalanced (69.1%)Imbalance
여성종사자수 is highly imbalanced (56.2%)Imbalance
남성종사자수 is highly imbalanced (52.7%)Imbalance
폐업일자 has 144 (49.8%) missing valuesMissing
도로명전체주소 has 98 (33.9%) missing valuesMissing
도로명우편번호 has 98 (33.9%) missing valuesMissing
좌표정보(x) has 18 (6.2%) missing valuesMissing
좌표정보(y) has 18 (6.2%) missing valuesMissing
건물지상층수 has 100 (34.6%) missing valuesMissing
발한실여부 has 5 (1.7%) missing valuesMissing
의자수 has 96 (33.2%) missing valuesMissing
조건부허가신고사유 has 289 (100.0%) missing valuesMissing
침대수 has 195 (67.5%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
조건부허가신고사유 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 23 (8.0%) zerosZeros
건물지상층수 has 73 (25.3%) zerosZeros
의자수 has 50 (17.3%) zerosZeros
침대수 has 66 (22.8%) zerosZeros

Reproduction

Analysis started2023-12-12 07:20:05.331139
Analysis finished2023-12-12 07:20:05.963167
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct289
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145
Minimum1
Maximum289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T16:20:06.057482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.4
Q173
median145
Q3217
95-th percentile274.6
Maximum289
Range288
Interquartile range (IQR)144

Descriptive statistics

Standard deviation83.571327
Coefficient of variation (CV)0.57635398
Kurtosis-1.2
Mean145
Median Absolute Deviation (MAD)72
Skewness0
Sum41905
Variance6984.1667
MonotonicityStrictly increasing
2023-12-12T16:20:06.237699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
218 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
195 1
 
0.3%
194 1
 
0.3%
193 1
 
0.3%
192 1
 
0.3%
191 1
 
0.3%
Other values (279) 279
96.5%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
289 1
0.3%
288 1
0.3%
287 1
0.3%
286 1
0.3%
285 1
0.3%
284 1
0.3%
283 1
0.3%
282 1
0.3%
281 1
0.3%
280 1
0.3%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
미용업
289 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미용업 289
100.0%

Length

2023-12-12T16:20:06.379026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:06.474398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미용업 289
100.0%

개방서비스 아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
05_18_01_P
289 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row05_18_01_P
2nd row05_18_01_P
3rd row05_18_01_P
4th row05_18_01_P
5th row05_18_01_P

Common Values

ValueCountFrequency (%)
05_18_01_P 289
100.0%

Length

2023-12-12T16:20:06.565911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:06.676577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
05_18_01_p 289
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
4880000
289 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4880000
2nd row4880000
3rd row4880000
4th row4880000
5th row4880000

Common Values

ValueCountFrequency (%)
4880000 289
100.0%

Length

2023-12-12T16:20:06.762968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:06.860083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4880000 289
100.0%

관리번호
Text

UNIQUE 

Distinct289
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T16:20:07.017804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters6358
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

Unique289 ?
Unique (%)100.0%

Sample

1st row4880000-213-2019-00001
2nd row4880000-218-2019-00001
3rd row4880000-204-1985-00005
4th row4880000-204-2003-00005
5th row4880000-213-2019-00002
ValueCountFrequency (%)
4880000-213-2019-00001 1
 
0.3%
4880000-217-2015-00001 1
 
0.3%
4880000-204-2001-00004 1
 
0.3%
4880000-204-1996-00003 1
 
0.3%
4880000-204-1991-00003 1
 
0.3%
4880000-204-1987-00005 1
 
0.3%
4880000-204-1970-00002 1
 
0.3%
4880000-204-1991-00005 1
 
0.3%
4880000-204-2003-00003 1
 
0.3%
4880000-204-1989-00003 1
 
0.3%
Other values (279) 279
96.5%
2023-12-12T16:20:07.383873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2777
43.7%
- 867
 
13.6%
8 649
 
10.2%
2 583
 
9.2%
4 549
 
8.6%
1 428
 
6.7%
9 235
 
3.7%
3 91
 
1.4%
5 73
 
1.1%
7 66
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5491
86.4%
Dash Punctuation 867
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2777
50.6%
8 649
 
11.8%
2 583
 
10.6%
4 549
 
10.0%
1 428
 
7.8%
9 235
 
4.3%
3 91
 
1.7%
5 73
 
1.3%
7 66
 
1.2%
6 40
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 867
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6358
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2777
43.7%
- 867
 
13.6%
8 649
 
10.2%
2 583
 
9.2%
4 549
 
8.6%
1 428
 
6.7%
9 235
 
3.7%
3 91
 
1.4%
5 73
 
1.1%
7 66
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6358
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2777
43.7%
- 867
 
13.6%
8 649
 
10.2%
2 583
 
9.2%
4 549
 
8.6%
1 428
 
6.7%
9 235
 
3.7%
3 91
 
1.4%
5 73
 
1.1%
7 66
 
1.0%

인허가일자
Date

Distinct274
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum1970-01-24 00:00:00
Maximum2021-08-19 00:00:00
2023-12-12T16:20:07.537076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:07.688495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
3
145 
1
144 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 145
50.2%
1 144
49.8%

Length

2023-12-12T16:20:07.820802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:07.919911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 145
50.2%
1 144
49.8%

영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
폐업
145 
영업/정상
144 

Length

Max length5
Median length2
Mean length3.4948097
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 145
50.2%
영업/정상 144
49.8%

Length

2023-12-12T16:20:08.053335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:08.164796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 145
50.2%
영업/정상 144
49.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2
145 
1
144 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 145
50.2%
1 144
49.8%

Length

2023-12-12T16:20:08.275944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:08.388409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 145
50.2%
1 144
49.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
폐업
145 
영업
144 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 145
50.2%
영업 144
49.8%

Length

2023-12-12T16:20:08.505998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:08.616844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 145
50.2%
영업 144
49.8%

폐업일자
Date

MISSING 

Distinct111
Distinct (%)76.6%
Missing144
Missing (%)49.8%
Memory size2.4 KiB
Minimum2001-07-31 00:00:00
Maximum2021-04-22 00:00:00
2023-12-12T16:20:09.035540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:20:09.207147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지면적
Real number (ℝ)

ZEROS 

Distinct176
Distinct (%)61.3%
Missing2
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean30.647456
Minimum0
Maximum147.4
Zeros23
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T16:20:09.370618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.9
median27
Q339.52
95-th percentile69.881
Maximum147.4
Range147.4
Interquartile range (IQR)22.62

Descriptive statistics

Standard deviation21.177517
Coefficient of variation (CV)0.69100408
Kurtosis3.8833155
Mean30.647456
Median Absolute Deviation (MAD)11.04
Skewness1.4172054
Sum8795.82
Variance448.48725
MonotonicityNot monotonic
2023-12-12T16:20:09.519228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 23
 
8.0%
33.0 13
 
4.5%
18.0 6
 
2.1%
20.0 6
 
2.1%
23.1 6
 
2.1%
25.0 6
 
2.1%
12.0 5
 
1.7%
26.4 5
 
1.7%
49.0 4
 
1.4%
23.0 4
 
1.4%
Other values (166) 209
72.3%
ValueCountFrequency (%)
0.0 23
8.0%
4.4 1
 
0.3%
4.5 1
 
0.3%
5.7 1
 
0.3%
8.0 1
 
0.3%
9.47 1
 
0.3%
10.0 2
 
0.7%
10.25 1
 
0.3%
10.31 1
 
0.3%
11.0 2
 
0.7%
ValueCountFrequency (%)
147.4 1
0.3%
113.33 1
0.3%
98.52 1
0.3%
98.01 1
0.3%
94.86 1
0.3%
83.29 1
0.3%
82.3 1
0.3%
82.0 1
0.3%
79.0 1
0.3%
78.72 1
0.3%

소재지우편번호
Real number (ℝ)

Distinct28
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean548857.79
Minimum548802
Maximum548952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T16:20:09.659449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum548802
5-th percentile548802
Q1548802
median548851
Q3548905
95-th percentile548934.4
Maximum548952
Range150
Interquartile range (IQR)103

Descriptive statistics

Standard deviation52.345895
Coefficient of variation (CV)9.5372419 × 10-5
Kurtosis-1.6671817
Mean548857.79
Median Absolute Deviation (MAD)49
Skewness0.14689711
Sum1.586199 × 108
Variance2740.0927
MonotonicityNot monotonic
2023-12-12T16:20:09.790373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
548802 91
31.5%
548905 33
 
11.4%
548907 30
 
10.4%
548831 23
 
8.0%
548805 18
 
6.2%
548931 13
 
4.5%
548892 13
 
4.5%
548943 11
 
3.8%
548903 9
 
3.1%
548881 6
 
2.1%
Other values (18) 42
14.5%
ValueCountFrequency (%)
548802 91
31.5%
548804 5
 
1.7%
548805 18
 
6.2%
548812 4
 
1.4%
548813 1
 
0.3%
548831 23
 
8.0%
548841 1
 
0.3%
548851 5
 
1.7%
548861 1
 
0.3%
548863 2
 
0.7%
ValueCountFrequency (%)
548952 3
 
1.0%
548943 11
 
3.8%
548936 1
 
0.3%
548932 1
 
0.3%
548931 13
 
4.5%
548922 4
 
1.4%
548921 1
 
0.3%
548913 4
 
1.4%
548907 30
10.4%
548905 33
11.4%

소재지전체주소
Text

Distinct260
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T16:20:10.161774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length32
Mean length24.705882
Min length20

Characters and Unicode

Total characters7140
Distinct characters92
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique237 ?
Unique (%)82.0%

Sample

1st row전라남도 고흥군 고흥읍 서문리 219-93번지
2nd row전라남도 고흥군 고흥읍 남계리 631-2번지
3rd row전라남도 고흥군 과역면 과역리 164-10번지
4th row전라남도 고흥군 고흥읍 남계리 656번지
5th row전라남도 고흥군 봉래면 신금리 1252-2번지
ValueCountFrequency (%)
전라남도 289
19.5%
고흥군 289
19.5%
고흥읍 114
 
7.7%
남계리 91
 
6.1%
봉암리 75
 
5.1%
도양읍 75
 
5.1%
과역리 23
 
1.6%
과역면 23
 
1.6%
서문리 18
 
1.2%
금산면 15
 
1.0%
Other values (307) 470
31.7%
2023-12-12T16:20:10.703069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1193
16.7%
흥 416
 
5.8%
고 403
 
5.6%
도 389
 
5.4%
남 385
 
5.4%
전 289
 
4.0%
라 289
 
4.0%
리 289
 
4.0%
군 289
 
4.0%
지 265
 
3.7%
Other values (82) 2933
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4342
60.8%
Decimal Number 1349
 
18.9%
Space Separator 1193
 
16.7%
Dash Punctuation 238
 
3.3%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
흥 416
 
9.6%
고 403
 
9.3%
도 389
 
9.0%
남 385
 
8.9%
전 289
 
6.7%
라 289
 
6.7%
리 289
 
6.7%
군 289
 
6.7%
지 265
 
6.1%
번 263
 
6.1%
Other values (68) 1065
24.5%
Decimal Number
ValueCountFrequency (%)
1 248
18.4%
2 216
16.0%
6 192
14.2%
9 123
9.1%
5 116
8.6%
3 111
8.2%
0 95
 
7.0%
7 93
 
6.9%
8 86
 
6.4%
4 69
 
5.1%
Space Separator
ValueCountFrequency (%)
1193
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 238
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4342
60.8%
Common 2798
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
흥 416
 
9.6%
고 403
 
9.3%
도 389
 
9.0%
남 385
 
8.9%
전 289
 
6.7%
라 289
 
6.7%
리 289
 
6.7%
군 289
 
6.7%
지 265
 
6.1%
번 263
 
6.1%
Other values (68) 1065
24.5%
Common
ValueCountFrequency (%)
1193
42.6%
1 248
 
8.9%
- 238
 
8.5%
2 216
 
7.7%
6 192
 
6.9%
9 123
 
4.4%
5 116
 
4.1%
3 111
 
4.0%
0 95
 
3.4%
7 93
 
3.3%
Other values (4) 173
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4342
60.8%
ASCII 2798
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1193
42.6%
1 248
 
8.9%
- 238
 
8.5%
2 216
 
7.7%
6 192
 
6.9%
9 123
 
4.4%
5 116
 
4.1%
3 111
 
4.0%
0 95
 
3.4%
7 93
 
3.3%
Other values (4) 173
 
6.2%
Hangul
ValueCountFrequency (%)
흥 416
 
9.6%
고 403
 
9.3%
도 389
 
9.0%
남 385
 
8.9%
전 289
 
6.7%
라 289
 
6.7%
리 289
 
6.7%
군 289
 
6.7%
지 265
 
6.1%
번 263
 
6.1%
Other values (68) 1065
24.5%

도로명전체주소
Text

MISSING 

Distinct178
Distinct (%)93.2%
Missing98
Missing (%)33.9%
Memory size2.4 KiB
2023-12-12T16:20:11.085168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length22.020942
Min length18

Characters and Unicode

Total characters4206
Distinct characters111
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

Unique166 ?
Unique (%)86.9%

Sample

1st row전라남도 고흥군 고흥읍 홍교당촌길 11, 104호
2nd row전라남도 고흥군 고흥읍 봉황길 35-1
3rd row전라남도 고흥군 과역면 고흥로 2986-1
4th row전라남도 고흥군 고흥읍 학교길 64
5th row전라남도 고흥군 봉래면 나로도항길 110-6
ValueCountFrequency (%)
전라남도 191
18.9%
고흥군 191
18.9%
고흥읍 82
 
8.1%
도양읍 51
 
5.0%
고흥로 21
 
2.1%
1층 19
 
1.9%
원동남계길 15
 
1.5%
봉황길 12
 
1.2%
2층 11
 
1.1%
과역면 11
 
1.1%
Other values (203) 406
40.2%
2023-12-12T16:20:11.737050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
819
19.5%
흥 299
 
7.1%
고 297
 
7.1%
도 257
 
6.1%
남 226
 
5.4%
군 194
 
4.6%
전 191
 
4.5%
라 191
 
4.5%
1 145
 
3.4%
읍 133
 
3.2%
Other values (101) 1454
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2709
64.4%
Space Separator 819
 
19.5%
Decimal Number 586
 
13.9%
Dash Punctuation 47
 
1.1%
Other Punctuation 42
 
1.0%
Uppercase Letter 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
흥 299
11.0%
고 297
11.0%
도 257
 
9.5%
남 226
 
8.3%
군 194
 
7.2%
전 191
 
7.1%
라 191
 
7.1%
읍 133
 
4.9%
길 132
 
4.9%
로 62
 
2.3%
Other values (85) 727
26.8%
Decimal Number
ValueCountFrequency (%)
1 145
24.7%
2 90
15.4%
3 66
11.3%
0 48
 
8.2%
4 47
 
8.0%
7 45
 
7.7%
5 44
 
7.5%
6 35
 
6.0%
8 34
 
5.8%
9 32
 
5.5%
Space Separator
ValueCountFrequency (%)
819
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2709
64.4%
Common 1496
35.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
흥 299
11.0%
고 297
11.0%
도 257
 
9.5%
남 226
 
8.3%
군 194
 
7.2%
전 191
 
7.1%
라 191
 
7.1%
읍 133
 
4.9%
길 132
 
4.9%
로 62
 
2.3%
Other values (85) 727
26.8%
Common
ValueCountFrequency (%)
819
54.7%
1 145
 
9.7%
2 90
 
6.0%
3 66
 
4.4%
0 48
 
3.2%
4 47
 
3.1%
- 47
 
3.1%
7 45
 
3.0%
5 44
 
2.9%
, 42
 
2.8%
Other values (5) 103
 
6.9%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2709
64.4%
ASCII 1497
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
819
54.7%
1 145
 
9.7%
2 90
 
6.0%
3 66
 
4.4%
0 48
 
3.2%
4 47
 
3.1%
- 47
 
3.1%
7 45
 
3.0%
5 44
 
2.9%
, 42
 
2.8%
Other values (6) 104
 
6.9%
Hangul
ValueCountFrequency (%)
흥 299
11.0%
고 297
11.0%
도 257
 
9.5%
남 226
 
8.3%
군 194
 
7.2%
전 191
 
7.1%
라 191
 
7.1%
읍 133
 
4.9%
길 132
 
4.9%
로 62
 
2.3%
Other values (85) 727
26.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)11.5%
Missing98
Missing (%)33.9%
Infinite0
Infinite (%)0.0%
Mean59542.534
Minimum59502
Maximum59569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T16:20:11.872299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59502
5-th percentile59511
Q159538
median59543
Q359558
95-th percentile59564
Maximum59569
Range67
Interquartile range (IQR)20

Descriptive statistics

Standard deviation16.126723
Coefficient of variation (CV)0.00027084375
Kurtosis-0.018877235
Mean59542.534
Median Absolute Deviation (MAD)12
Skewness-0.63932082
Sum11372624
Variance260.0712
MonotonicityNot monotonic
2023-12-12T16:20:12.020465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
59538 35
 
12.1%
59543 28
 
9.7%
59559 18
 
6.2%
59558 16
 
5.5%
59540 14
 
4.8%
59511 11
 
3.8%
59555 10
 
3.5%
59529 9
 
3.1%
59564 8
 
2.8%
59569 5
 
1.7%
Other values (12) 37
 
12.8%
(Missing) 98
33.9%
ValueCountFrequency (%)
59502 4
 
1.4%
59507 3
 
1.0%
59509 1
 
0.3%
59511 11
 
3.8%
59517 3
 
1.0%
59524 4
 
1.4%
59527 2
 
0.7%
59529 9
 
3.1%
59537 5
 
1.7%
59538 35
12.1%
ValueCountFrequency (%)
59569 5
 
1.7%
59567 2
 
0.7%
59564 8
2.8%
59560 3
 
1.0%
59559 18
6.2%
59558 16
5.5%
59557 4
 
1.4%
59555 10
3.5%
59549 3
 
1.0%
59546 3
 
1.0%

사업장명
Text

Distinct264
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T16:20:12.320194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length5.5294118
Min length2

Characters and Unicode

Total characters1598
Distinct characters316
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique245 ?
Unique (%)84.8%

Sample

1st row머리하는 나영언니
2nd row보옥 Beauty&Skin
3rd row진주미용실
4th row김순남헤어샵
5th row안만진헤어
ValueCountFrequency (%)
뿌리미용실 4
 
1.2%
정미용실 4
 
1.2%
미용실 4
 
1.2%
김미용실 3
 
0.9%
에덴미용실 3
 
0.9%
진선미피부관리실 2
 
0.6%
헤어스토리 2
 
0.6%
피부샵 2
 
0.6%
헤어라인 2
 
0.6%
우리미용실 2
 
0.6%
Other values (278) 293
91.3%
2023-12-12T16:20:12.802641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
미 158
 
9.9%
실 142
 
8.9%
용 141
 
8.8%
어 67
 
4.2%
헤 63
 
3.9%
리 48
 
3.0%
32
 
2.0%
아 23
 
1.4%
샵 20
 
1.3%
스 20
 
1.3%
Other values (306) 884
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1494
93.5%
Lowercase Letter 37
 
2.3%
Space Separator 32
 
2.0%
Uppercase Letter 21
 
1.3%
Other Punctuation 5
 
0.3%
Decimal Number 3
 
0.2%
Dash Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 158
 
10.6%
실 142
 
9.5%
용 141
 
9.4%
어 67
 
4.5%
헤 63
 
4.2%
리 48
 
3.2%
아 23
 
1.5%
샵 20
 
1.3%
스 20
 
1.3%
머 18
 
1.2%
Other values (267) 794
53.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
10.8%
a 4
10.8%
i 4
10.8%
l 4
10.8%
n 4
10.8%
y 3
8.1%
u 3
8.1%
s 3
8.1%
t 2
 
5.4%
d 1
 
2.7%
Other values (5) 5
13.5%
Uppercase Letter
ValueCountFrequency (%)
N 3
14.3%
S 2
9.5%
L 2
9.5%
I 2
9.5%
A 2
9.5%
B 2
9.5%
T 1
 
4.8%
J 1
 
4.8%
Y 1
 
4.8%
R 1
 
4.8%
Other values (4) 4
19.0%
Other Punctuation
ValueCountFrequency (%)
& 2
40.0%
! 1
20.0%
# 1
20.0%
, 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
9 1
33.3%
Space Separator
ValueCountFrequency (%)
32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1494
93.5%
Latin 58
 
3.6%
Common 46
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 158
 
10.6%
실 142
 
9.5%
용 141
 
9.4%
어 67
 
4.5%
헤 63
 
4.2%
리 48
 
3.2%
아 23
 
1.5%
샵 20
 
1.3%
스 20
 
1.3%
머 18
 
1.2%
Other values (267) 794
53.1%
Latin
ValueCountFrequency (%)
e 4
 
6.9%
a 4
 
6.9%
i 4
 
6.9%
l 4
 
6.9%
n 4
 
6.9%
y 3
 
5.2%
u 3
 
5.2%
s 3
 
5.2%
N 3
 
5.2%
S 2
 
3.4%
Other values (19) 24
41.4%
Common
ValueCountFrequency (%)
32
69.6%
& 2
 
4.3%
- 2
 
4.3%
( 2
 
4.3%
1 2
 
4.3%
) 2
 
4.3%
! 1
 
2.2%
9 1
 
2.2%
# 1
 
2.2%
, 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1494
93.5%
ASCII 104
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
미 158
 
10.6%
실 142
 
9.5%
용 141
 
9.4%
어 67
 
4.5%
헤 63
 
4.2%
리 48
 
3.2%
아 23
 
1.5%
샵 20
 
1.3%
스 20
 
1.3%
머 18
 
1.2%
Other values (267) 794
53.1%
ASCII
ValueCountFrequency (%)
32
30.8%
e 4
 
3.8%
a 4
 
3.8%
i 4
 
3.8%
l 4
 
3.8%
n 4
 
3.8%
y 3
 
2.9%
u 3
 
2.9%
s 3
 
2.9%
N 3
 
2.9%
Other values (29) 40
38.5%

업태구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
일반미용업
242 
피부미용업
28 
네일아트업
 
13
기타
 
5
메이크업업
 
1

Length

Max length5
Median length5
Mean length4.9480969
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
일반미용업 242
83.7%
피부미용업 28
 
9.7%
네일아트업 13
 
4.5%
기타 5
 
1.7%
메이크업업 1
 
0.3%

Length

2023-12-12T16:20:12.998522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:13.137541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반미용업 242
83.7%
피부미용업 28
 
9.7%
네일아트업 13
 
4.5%
기타 5
 
1.7%
메이크업업 1
 
0.3%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct225
Distinct (%)83.0%
Missing18
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean223283.69
Minimum211144.24
Maximum242888.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T16:20:13.288953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum211144.24
5-th percentile212194.84
Q1212650.78
median226023.52
Q3226424.63
95-th percentile235601.09
Maximum242888.01
Range31743.771
Interquartile range (IQR)13773.857

Descriptive statistics

Standard deviation8446.7064
Coefficient of variation (CV)0.037829482
Kurtosis-0.77112618
Mean223283.69
Median Absolute Deviation (MAD)4549.5765
Skewness0.02988494
Sum60509880
Variance71346848
MonotonicityNot monotonic
2023-12-12T16:20:13.464139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
226424.6346 3
 
1.0%
211756.0305 3
 
1.0%
212377.395 3
 
1.0%
233053.8423 3
 
1.0%
226112.3624 3
 
1.0%
212549.7427 3
 
1.0%
212522.7224 3
 
1.0%
226081.503 3
 
1.0%
242061.4721 3
 
1.0%
226285.6624 2
 
0.7%
Other values (215) 242
83.7%
(Missing) 18
 
6.2%
ValueCountFrequency (%)
211144.2418 1
 
0.3%
211317.304 1
 
0.3%
211342.9165 2
0.7%
211423.6062 1
 
0.3%
211446.4067 1
 
0.3%
211520.5719 1
 
0.3%
211583.2659 1
 
0.3%
211673.6009 1
 
0.3%
211756.0305 3
1.0%
211760.671 1
 
0.3%
ValueCountFrequency (%)
242888.013 1
 
0.3%
242880.0053 1
 
0.3%
242875.4088 1
 
0.3%
242179.5784 1
 
0.3%
242061.4721 3
1.0%
241940.2346 1
 
0.3%
241873.5158 1
 
0.3%
241694.2857 1
 
0.3%
241683.4807 1
 
0.3%
237360.0379 1
 
0.3%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct225
Distinct (%)83.0%
Missing18
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean119948.42
Minimum104167.92
Maximum142598.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T16:20:13.654927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104167.92
5-th percentile107279.74
Q1114431.03
median123213.93
Q3123427.1
95-th percentile131334.1
Maximum142598.46
Range38430.543
Interquartile range (IQR)8996.0758

Descriptive statistics

Standard deviation7521.1847
Coefficient of variation (CV)0.062703492
Kurtosis0.7141341
Mean119948.42
Median Absolute Deviation (MAD)7958.4738
Skewness0.49703182
Sum32506022
Variance56568219
MonotonicityNot monotonic
2023-12-12T16:20:13.812567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123480.0891 3
 
1.0%
107279.7425 3
 
1.0%
114343.1124 3
 
1.0%
131083.9903 3
 
1.0%
123427.6714 3
 
1.0%
114355.948 3
 
1.0%
114653.6271 3
 
1.0%
123296.3913 3
 
1.0%
107390.4611 3
 
1.0%
123372.3727 2
 
0.7%
Other values (215) 242
83.7%
(Missing) 18
 
6.2%
ValueCountFrequency (%)
104167.9158 1
0.3%
104844.911 1
0.3%
106728.5718 2
0.7%
106739.3647 1
0.3%
106807.2842 1
0.3%
106856.4984 1
0.3%
106880.439 1
0.3%
106922.5778 1
0.3%
107000.8491 1
0.3%
107106.0005 1
0.3%
ValueCountFrequency (%)
142598.4586 1
0.3%
142565.7997 1
0.3%
142506.4334 1
0.3%
142442.4033 1
0.3%
142429.6266 1
0.3%
141554.7689 1
0.3%
141441.4567 1
0.3%
141309.2191 1
0.3%
136730.139 1
0.3%
131477.8877 1
0.3%

위생업태명
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
미용업
210 
피부미용업
25 
일반미용업
22 
종합미용업
 
16
네일미용업
 
12
Other values (3)
 
4

Length

Max length16
Median length3
Mean length3.6574394
Min length3

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row종합미용업
2nd row피부미용업, 네일미용업
3rd row미용업
4th row미용업
5th row종합미용업

Common Values

ValueCountFrequency (%)
미용업 210
72.7%
피부미용업 25
 
8.7%
일반미용업 22
 
7.6%
종합미용업 16
 
5.5%
네일미용업 12
 
4.2%
일반미용업, 네일미용업 2
 
0.7%
피부미용업, 네일미용업 1
 
0.3%
네일미용업, 화장ㆍ분장 미용업 1
 
0.3%

Length

2023-12-12T16:20:13.960266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:14.079220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미용업 211
71.8%
피부미용업 26
 
8.8%
일반미용업 24
 
8.2%
종합미용업 16
 
5.4%
네일미용업 16
 
5.4%
화장ㆍ분장 1
 
0.3%

건물지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)3.2%
Missing100
Missing (%)34.6%
Infinite0
Infinite (%)0.0%
Mean1.1005291
Minimum0
Maximum5
Zeros73
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T16:20:14.214709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.1648439
Coefficient of variation (CV)1.0584399
Kurtosis0.13057615
Mean1.1005291
Median Absolute Deviation (MAD)1
Skewness0.9451708
Sum208
Variance1.3568614
MonotonicityNot monotonic
2023-12-12T16:20:14.326787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 73
25.3%
1 61
21.1%
2 26
 
9.0%
3 22
 
7.6%
4 6
 
2.1%
5 1
 
0.3%
(Missing) 100
34.6%
ValueCountFrequency (%)
0 73
25.3%
1 61
21.1%
2 26
 
9.0%
3 22
 
7.6%
4 6
 
2.1%
5 1
 
0.3%
ValueCountFrequency (%)
5 1
 
0.3%
4 6
 
2.1%
3 22
 
7.6%
2 26
 
9.0%
1 61
21.1%
0 73
25.3%

건물지하층수
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
152 
0
135 
1
 
2

Length

Max length4
Median length4
Mean length2.5778547
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 152
52.6%
0 135
46.7%
1 2
 
0.7%

Length

2023-12-12T16:20:14.469107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:14.564752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 152
52.6%
0 135
46.7%
1 2
 
0.7%

사용시작지상층
Categorical

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
151 
1
91 
0
35 
2
 
11
4
 
1

Length

Max length4
Median length4
Mean length2.567474
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 151
52.2%
1 91
31.5%
0 35
 
12.1%
2 11
 
3.8%
4 1
 
0.3%

Length

2023-12-12T16:20:14.680560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:14.802834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
52.2%
1 91
31.5%
0 35
 
12.1%
2 11
 
3.8%
4 1
 
0.3%

사용끝지상층
Categorical

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
192 
1
73 
0
 
12
2
 
11
4
 
1

Length

Max length4
Median length4
Mean length2.9930796
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row1
5th row1

Common Values

ValueCountFrequency (%)
<NA> 192
66.4%
1 73
 
25.3%
0 12
 
4.2%
2 11
 
3.8%
4 1
 
0.3%

Length

2023-12-12T16:20:14.911098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:14.998323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 192
66.4%
1 73
 
25.3%
0 12
 
4.2%
2 11
 
3.8%
4 1
 
0.3%

사용시작지하층
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
243 
0
45 
1
 
1

Length

Max length4
Median length4
Mean length3.5224913
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 243
84.1%
0 45
 
15.6%
1 1
 
0.3%

Length

2023-12-12T16:20:15.096291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:15.189390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 243
84.1%
0 45
 
15.6%
1 1
 
0.3%

사용끝지하층
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
273 
0
 
16

Length

Max length4
Median length4
Mean length3.83391
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> 273
94.5%
0 16
 
5.5%

Length

2023-12-12T16:20:15.283270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:15.370135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 273
94.5%
0 16
 
5.5%

한실수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
154 
0
135 

Length

Max length4
Median length4
Mean length2.5986159
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 154
53.3%
0 135
46.7%

Length

2023-12-12T16:20:15.457748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:15.540107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 154
53.3%
0 135
46.7%

양실수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
154 
0
135 

Length

Max length4
Median length4
Mean length2.5986159
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 154
53.3%
0 135
46.7%

Length

2023-12-12T16:20:15.626272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:15.713512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 154
53.3%
0 135
46.7%

욕실수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
154 
0
135 

Length

Max length4
Median length4
Mean length2.5986159
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 154
53.3%
0 135
46.7%

Length

2023-12-12T16:20:15.801312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:15.884016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 154
53.3%
0 135
46.7%

발한실여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing5
Missing (%)1.7%
Memory size710.0 B
False
284 
(Missing)
 
5
ValueCountFrequency (%)
False 284
98.3%
(Missing) 5
 
1.7%
2023-12-12T16:20:15.947124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의자수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)4.1%
Missing96
Missing (%)33.2%
Infinite0
Infinite (%)0.0%
Mean2.1865285
Minimum0
Maximum7
Zeros50
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T16:20:16.017308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile4
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.5466445
Coefficient of variation (CV)0.70735164
Kurtosis-0.49402216
Mean2.1865285
Median Absolute Deviation (MAD)1
Skewness-0.017442299
Sum422
Variance2.3921092
MonotonicityNot monotonic
2023-12-12T16:20:16.120724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 61
21.1%
0 50
17.3%
2 46
15.9%
4 25
 
8.7%
5 5
 
1.7%
1 3
 
1.0%
6 2
 
0.7%
7 1
 
0.3%
(Missing) 96
33.2%
ValueCountFrequency (%)
0 50
17.3%
1 3
 
1.0%
2 46
15.9%
3 61
21.1%
4 25
8.7%
5 5
 
1.7%
6 2
 
0.7%
7 1
 
0.3%
ValueCountFrequency (%)
7 1
 
0.3%
6 2
 
0.7%
5 5
 
1.7%
4 25
8.7%
3 61
21.1%
2 46
15.9%
1 3
 
1.0%
0 50
17.3%

조건부허가신고사유
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing289
Missing (%)100.0%
Memory size2.7 KiB

건물소유구분명
Categorical

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
215 
임대
66 
자가
 
8

Length

Max length4
Median length4
Mean length3.4878893
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 215
74.4%
임대 66
 
22.8%
자가 8
 
2.8%

Length

2023-12-12T16:20:16.222613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:16.316808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 215
74.4%
임대 66
 
22.8%
자가 8
 
2.8%

세탁기수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
183 
0
106 

Length

Max length4
Median length4
Mean length2.899654
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 183
63.3%
0 106
36.7%

Length

2023-12-12T16:20:16.420253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:16.501326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 183
63.3%
0 106
36.7%

여성종사자수
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
236 
1
35 
0
 
17
2
 
1

Length

Max length4
Median length4
Mean length3.449827
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 236
81.7%
1 35
 
12.1%
0 17
 
5.9%
2 1
 
0.3%

Length

2023-12-12T16:20:16.582123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:16.666665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 236
81.7%
1 35
 
12.1%
0 17
 
5.9%
2 1
 
0.3%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
237 
0
48 
1
 
4

Length

Max length4
Median length4
Mean length3.4602076
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 237
82.0%
0 48
 
16.6%
1 4
 
1.4%

Length

2023-12-12T16:20:16.758570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:16.855796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 237
82.0%
0 48
 
16.6%
1 4
 
1.4%

회수건조수
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
193 
0
96 

Length

Max length4
Median length4
Mean length3.0034602
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 193
66.8%
0 96
33.2%

Length

2023-12-12T16:20:16.954688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:20:17.048051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 193
66.8%
0 96
33.2%

침대수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)6.4%
Missing195
Missing (%)67.5%
Infinite0
Infinite (%)0.0%
Mean0.78723404
Minimum0
Maximum8
Zeros66
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2023-12-12T16:20:17.499270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4283786
Coefficient of variation (CV)1.8144269
Kurtosis6.3092314
Mean0.78723404
Median Absolute Deviation (MAD)0
Skewness2.2167589
Sum74
Variance2.0402654
MonotonicityNot monotonic
2023-12-12T16:20:17.616170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 66
 
22.8%
2 14
 
4.8%
4 5
 
1.7%
3 5
 
1.7%
1 3
 
1.0%
8 1
 
0.3%
(Missing) 195
67.5%
ValueCountFrequency (%)
0 66
22.8%
1 3
 
1.0%
2 14
 
4.8%
3 5
 
1.7%
4 5
 
1.7%
8 1
 
0.3%
ValueCountFrequency (%)
8 1
 
0.3%
4 5
 
1.7%
3 5
 
1.7%
2 14
 
4.8%
1 3
 
1.0%
0 66
22.8%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size421.0 B
False
289 
ValueCountFrequency (%)
False 289
100.0%
2023-12-12T16:20:17.730256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

번호개방서비스명개방서비스 아이디개방자치단체코드관리번호인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명업태구분명좌표정보(x)좌표정보(y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부의자수조건부허가신고사유건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
01미용업05_18_01_P48800004880000-213-2019-000012019-05-301영업/정상1영업<NA>27.8548805전라남도 고흥군 고흥읍 서문리 219-93번지전라남도 고흥군 고흥읍 홍교당촌길 11, 104호59540머리하는 나영언니기타225778.7652123403.1394종합미용업0011<NA><NA>000N3<NA>임대01000N
12미용업05_18_01_P48800004880000-218-2019-000012019-04-301영업/정상1영업<NA>33.06548802전라남도 고흥군 고흥읍 남계리 631-2번지전라남도 고흥군 고흥읍 봉황길 35-159543보옥 Beauty&Skin기타226023.5218123313.5489피부미용업, 네일미용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N
23미용업05_18_01_P48800004880000-204-1985-000051985-01-111영업/정상1영업<NA>10.31548831전라남도 고흥군 과역면 과역리 164-10번지전라남도 고흥군 과역면 고흥로 2986-159511진주미용실일반미용업233057.5099131279.4905미용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N
34미용업05_18_01_P48800004880000-204-2003-000052003-09-251영업/정상1영업<NA>13.0548802전라남도 고흥군 고흥읍 남계리 656번지전라남도 고흥군 고흥읍 학교길 6459537김순남헤어샵일반미용업226420.4968123383.6831미용업1<NA>11<NA><NA><NA><NA><NA>N3<NA>임대<NA><NA><NA><NA><NA>N
45미용업05_18_01_P48800004880000-213-2019-000022019-08-061영업/정상1영업<NA>94.86548943전라남도 고흥군 봉래면 신금리 1252-2번지전라남도 고흥군 봉래면 나로도항길 110-659569안만진헤어일반미용업241694.2857107609.9591종합미용업1011<NA><NA>000N3<NA>임대01100N
56미용업05_18_01_P48800004880000-213-2019-000032019-10-011영업/정상1영업<NA>59.5548905전라남도 고흥군 도양읍 봉암리 1615-12번지전라남도 고흥군 도양읍 천마로 69, 1층59555헤어스토리기타212675.0267114867.2797종합미용업0011<NA><NA>000N2<NA>임대01000N
67미용업05_18_01_P48800004880000-204-2007-000022007-02-231영업/정상1영업<NA>34.3548802전라남도 고흥군 고흥읍 남계리 580번지 (1층)전라남도 고흥군 고흥읍 원동남계길 5059538샴푸일반미용업226112.3624123427.6714미용업2<NA>11<NA><NA><NA><NA><NA>N5<NA>임대<NA><NA><NA><NA><NA>N
78미용업05_18_01_P48800004880000-204-2008-000042008-10-121영업/정상1영업<NA>19.68548905전라남도 고흥군 도양읍 봉암리 2061-5번지전라남도 고흥군 도양읍 비봉로 11559555리샵일반미용업212432.9348114709.22미용업1011<NA><NA>000N2<NA><NA>0<NA><NA><NA><NA>N
89미용업05_18_01_P48800004880000-204-1996-000061996-08-081영업/정상1영업<NA>32.2548892전라남도 고흥군 도화면 당오리 310-12번지 외1필지(13)전라남도 고흥군 도화면 동신길 8-159529샬롬머리방일반미용업229532.5625112419.2721미용업1<NA>11<NA><NA><NA><NA><NA>N2<NA>자가<NA><NA><NA><NA><NA>N
910미용업05_18_01_P48800004880000-204-2009-000022009-01-121영업/정상1영업<NA>24.6548903전라남도 고흥군 도양읍 봉암리 1613-1번지전라남도 고흥군 도양읍 천마로 5759555귀빈미용실일반미용업212756.5978114974.2883미용업1011<NA><NA>000N2<NA><NA>0<NA><NA><NA><NA>N
번호개방서비스명개방서비스 아이디개방자치단체코드관리번호인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명업태구분명좌표정보(x)좌표정보(y)위생업태명건물지상층수건물지하층수사용시작지상층사용끝지상층사용시작지하층사용끝지하층한실수양실수욕실수발한실여부의자수조건부허가신고사유건물소유구분명세탁기수여성종사자수남성종사자수회수건조수침대수다중이용업소여부
279280미용업05_18_01_P48800004880000-204-2009-000072009-11-193폐업2폐업2019-03-0439.7548931전라남도 고흥군 금산면 대흥리 364-3번지전라남도 고흥군 금산면 상하촌길 20-259564이슬미용실일반미용업211673.6009107106.0005미용업10<NA><NA><NA><NA>000N2<NA><NA>0<NA><NA>00N
280281미용업05_18_01_P48800004880000-204-2010-000022010-04-063폐업2폐업2013-04-1130.0548831전라남도 고흥군 과역면 과역리 65번지<NA><NA>뿌리미용실일반미용업233053.8423131083.9903미용업10<NA><NA><NA><NA>000N2<NA><NA>0<NA><NA>00N
281282미용업05_18_01_P48800004880000-204-2010-000032010-06-163폐업2폐업2011-10-1744.6548903전라남도 고흥군 도양읍 봉암리 2699-186번지<NA><NA>즐거운미용실일반미용업212549.7427114355.948미용업301<NA><NA><NA>000N4<NA><NA>0<NA><NA>00N
282283미용업05_18_01_P48800004880000-204-2011-000022011-04-273폐업2폐업2013-05-0726.9548905전라남도 고흥군 도양읍 봉암리 1616-21번지<NA><NA>은영헤어샵일반미용업212644.2638114864.8837미용업101000000N2<NA><NA>0<NA><NA>00N
283284미용업05_18_01_P48800004880000-204-2011-000032011-06-223폐업2폐업2011-06-2923.0548903전라남도 고흥군 도양읍 봉암리 1616-12번지<NA><NA>은영헤어샵일반미용업<NA><NA>미용업00<NA><NA><NA><NA>000N3<NA><NA>0<NA><NA>00N
284285미용업05_18_01_P48800004880000-204-1997-000011997-08-203폐업2폐업2003-05-2313.4548802전라남도 고흥군 고흥읍 남계리 656번지<NA><NA>까꼬뽀꼬일반미용업226420.4968123383.6831미용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N
285286미용업05_18_01_P48800004880000-204-2001-000032001-08-013폐업2폐업2003-09-0933.0548905전라남도 고흥군 도양읍 봉암리 2242-19번지<NA><NA>영아미용실일반미용업212373.8716114325.7797미용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N
286287미용업05_18_01_P48800004880000-204-1990-000011990-05-153폐업2폐업2005-05-0265.0548802전라남도 고흥군 고흥읍 남계리 969-18번지전라남도 고흥군 고흥읍 학교길 70-159538영헤어숍일반미용업226343.0244123410.2242미용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N
287288미용업05_18_01_P48800004880000-204-1993-000031993-05-143폐업2폐업2001-12-310.0548802전라남도 고흥군 고흥읍 남계리 631-9번지<NA><NA>여왕미용실일반미용업226081.503123296.3913미용업000<NA>0<NA>000N0<NA><NA><NA><NA><NA><NA><NA>N
288289미용업05_18_01_P48800004880000-204-1993-000041993-10-213폐업2폐업2003-12-1513.2548804전라남도 고흥군 고흥읍 호형리 1267-2번지<NA><NA>정미용실일반미용업226424.6346123480.0891미용업<NA><NA><NA><NA><NA><NA><NA><NA><NA>N<NA><NA><NA><NA><NA><NA><NA><NA>N