Overview

Dataset statistics

Number of variables21
Number of observations124
Missing cells165
Missing cells (%)6.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.6 KiB
Average record size in memory178.1 B

Variable types

Numeric6
Categorical9
Text4
DateTime2

Dataset

Description전라남도 고흥군 이용업 현황에 대한 데이터로 영업상태명, 소재지전체주소, 사업장명, 업태구분명, 다중이용업소여부 등을 제공합니다.
Author전라남도 고흥군
URLhttps://www.data.go.kr/data/15090245/fileData.do

Alerts

개방서비스명 has constant value ""Constant
개방서비스 아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
위생업태명 has constant value ""Constant
폐업일자 has 49 (39.5%) missing valuesMissing
소재지면적 has 2 (1.6%) missing valuesMissing
도로명전체주소 has 47 (37.9%) missing valuesMissing
도로명우편번호 has 49 (39.5%) missing valuesMissing
좌표정보(x) has 9 (7.3%) missing valuesMissing
좌표정보(y) has 9 (7.3%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
소재지면적 has 22 (17.7%) zerosZeros

Reproduction

Analysis started2023-12-12 18:56:15.216683
Analysis finished2023-12-12 18:56:15.657483
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.5
Minimum1
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T03:56:15.754831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.15
Q131.75
median62.5
Q393.25
95-th percentile117.85
Maximum124
Range123
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation35.939764
Coefficient of variation (CV)0.57503623
Kurtosis-1.2
Mean62.5
Median Absolute Deviation (MAD)31
Skewness0
Sum7750
Variance1291.6667
MonotonicityStrictly increasing
2023-12-13T03:56:16.001561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
80 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
Other values (114) 114
91.9%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
이용업
124 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이용업 124
100.0%

Length

2023-12-13T03:56:16.211930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:56:16.368673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이용업 124
100.0%

개방서비스 아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
05_19_01_P
124 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row05_19_01_P
2nd row05_19_01_P
3rd row05_19_01_P
4th row05_19_01_P
5th row05_19_01_P

Common Values

ValueCountFrequency (%)
05_19_01_P 124
100.0%

Length

2023-12-13T03:56:16.499756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:56:16.630080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
05_19_01_p 124
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
4880000
124 

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 124
100.0%

Length

2023-12-13T03:56:16.765757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:56:16.881410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4880000 124
100.0%

관리번호
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T03:56:17.113487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters2728
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

Unique124 ?
Unique (%)100.0%

Sample

1st row4880000-203-1987-00002
2nd row4880000-203-2019-00001
3rd row4880000-203-1995-00001
4th row4880000-203-1984-00004
5th row4880000-203-1984-00005
ValueCountFrequency (%)
4880000-203-1987-00002 1
 
0.8%
4880000-203-2001-00002 1
 
0.8%
4880000-203-2009-00001 1
 
0.8%
4880000-203-2005-00003 1
 
0.8%
4880000-203-1984-00003 1
 
0.8%
4880000-203-1978-00003 1
 
0.8%
4880000-203-1990-00001 1
 
0.8%
4880000-203-1984-00002 1
 
0.8%
4880000-203-1975-00001 1
 
0.8%
4880000-203-1997-00003 1
 
0.8%
Other values (114) 114
91.9%
2023-12-13T03:56:17.550159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1166
42.7%
- 372
 
13.6%
8 296
 
10.9%
2 195
 
7.1%
1 169
 
6.2%
3 162
 
5.9%
4 149
 
5.5%
9 140
 
5.1%
7 41
 
1.5%
6 21
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2356
86.4%
Dash Punctuation 372
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1166
49.5%
8 296
 
12.6%
2 195
 
8.3%
1 169
 
7.2%
3 162
 
6.9%
4 149
 
6.3%
9 140
 
5.9%
7 41
 
1.7%
6 21
 
0.9%
5 17
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 372
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2728
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1166
42.7%
- 372
 
13.6%
8 296
 
10.9%
2 195
 
7.1%
1 169
 
6.2%
3 162
 
5.9%
4 149
 
5.5%
9 140
 
5.1%
7 41
 
1.5%
6 21
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1166
42.7%
- 372
 
13.6%
8 296
 
10.9%
2 195
 
7.1%
1 169
 
6.2%
3 162
 
5.9%
4 149
 
5.5%
9 140
 
5.1%
7 41
 
1.5%
6 21
 
0.8%

인허가일자
Date

Distinct118
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1963-08-16 00:00:00
Maximum2021-03-24 00:00:00
2023-12-13T03:56:17.789702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:56:18.017780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태구분코드
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3
75 
1
49 

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 75
60.5%
1 49
39.5%

Length

2023-12-13T03:56:18.202731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:56:18.331807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 75
60.5%
1 49
39.5%

영업상태명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
75 
영업/정상
49 

Length

Max length5
Median length2
Mean length3.1854839
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 75
60.5%
영업/정상 49
39.5%

Length

2023-12-13T03:56:18.508785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:56:18.679970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 75
60.5%
영업/정상 49
39.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2
75 
1
49 

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 75
60.5%
1 49
39.5%

Length

2023-12-13T03:56:18.862492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:56:19.140404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 75
60.5%
1 49
39.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
폐업
75 
영업
49 

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 75
60.5%
영업 49
39.5%

Length

2023-12-13T03:56:19.360794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:56:19.540055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 75
60.5%
영업 49
39.5%

폐업일자
Date

MISSING 

Distinct59
Distinct (%)78.7%
Missing49
Missing (%)39.5%
Memory size1.1 KiB
Minimum1998-12-29 00:00:00
Maximum2021-08-27 00:00:00
2023-12-13T03:56:19.744045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:56:20.014328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct62
Distinct (%)50.8%
Missing2
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean15.959262
Minimum0
Maximum56
Zeros22
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T03:56:20.269215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.1875
median15
Q321.315
95-th percentile33
Maximum56
Range56
Interquartile range (IQR)11.1275

Descriptive statistics

Standard deviation11.056511
Coefficient of variation (CV)0.69279588
Kurtosis1.3961529
Mean15.959262
Median Absolute Deviation (MAD)5
Skewness0.70720562
Sum1947.03
Variance122.24644
MonotonicityNot monotonic
2023-12-13T03:56:20.575087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 22
 
17.7%
20.0 7
 
5.6%
10.0 5
 
4.0%
15.0 4
 
3.2%
13.2 4
 
3.2%
16.5 4
 
3.2%
26.0 4
 
3.2%
12.0 3
 
2.4%
19.0 3
 
2.4%
13.0 3
 
2.4%
Other values (52) 63
50.8%
ValueCountFrequency (%)
0.0 22
17.7%
5.6 1
 
0.8%
8.0 1
 
0.8%
9.0 2
 
1.6%
10.0 5
 
4.0%
10.75 1
 
0.8%
11.0 1
 
0.8%
11.2 1
 
0.8%
11.6 1
 
0.8%
11.9 1
 
0.8%
ValueCountFrequency (%)
56.0 1
 
0.8%
49.5 1
 
0.8%
48.6 1
 
0.8%
39.6 2
1.6%
36.0 1
 
0.8%
33.0 3
2.4%
30.3 1
 
0.8%
28.4 1
 
0.8%
28.0 2
1.6%
26.6 1
 
0.8%

소재지우편번호
Real number (ℝ)

Distinct36
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean548865.85
Minimum548801
Maximum548952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T03:56:20.894816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum548801
5-th percentile548802
Q1548805
median548873
Q3548905
95-th percentile548935.4
Maximum548952
Range151
Interquartile range (IQR)100

Descriptive statistics

Standard deviation49.526382
Coefficient of variation (CV)9.0234039 × 10-5
Kurtosis-1.4810577
Mean548865.85
Median Absolute Deviation (MAD)42
Skewness-0.068906094
Sum68059365
Variance2452.8625
MonotonicityNot monotonic
2023-12-13T03:56:21.676305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
548802 14
 
11.3%
548805 14
 
11.3%
548905 9
 
7.3%
548931 7
 
5.6%
548804 7
 
5.6%
548831 7
 
5.6%
548892 7
 
5.6%
548873 5
 
4.0%
548907 4
 
3.2%
548904 4
 
3.2%
Other values (26) 46
37.1%
ValueCountFrequency (%)
548801 1
 
0.8%
548802 14
11.3%
548804 7
5.6%
548805 14
11.3%
548812 2
 
1.6%
548821 1
 
0.8%
548831 7
5.6%
548841 2
 
1.6%
548843 1
 
0.8%
548851 2
 
1.6%
ValueCountFrequency (%)
548952 2
 
1.6%
548943 4
3.2%
548936 1
 
0.8%
548932 1
 
0.8%
548931 7
5.6%
548923 1
 
0.8%
548922 3
2.4%
548921 1
 
0.8%
548913 2
 
1.6%
548912 2
 
1.6%

소재지전체주소
Text

Distinct116
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T03:56:22.182338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length33
Mean length24.637097
Min length20

Characters and Unicode

Total characters3055
Distinct characters91
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

Unique109 ?
Unique (%)87.9%

Sample

1st row전라남도 고흥군 고흥읍 남계리 649-2번지
2nd row전라남도 고흥군 봉래면 신금리 1089-35번지
3rd row전라남도 고흥군 도양읍 봉암리 2240-3번지 (3층)
4th row전라남도 고흥군 포두면 남촌리 225번지
5th row전라남도 고흥군 포두면 길두리 1072-1번지
ValueCountFrequency (%)
고흥군 125
19.5%
전라남도 124
19.3%
고흥읍 36
 
5.6%
도양읍 21
 
3.3%
봉암리 19
 
3.0%
남계리 14
 
2.2%
서문리 13
 
2.0%
금산면 9
 
1.4%
과역리 8
 
1.2%
두원면 8
 
1.2%
Other values (171) 264
41.2%
2023-12-13T03:56:22.885890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
517
16.9%
흥 169
 
5.5%
고 163
 
5.3%
도 160
 
5.2%
남 146
 
4.8%
군 125
 
4.1%
리 125
 
4.1%
전 124
 
4.1%
라 124
 
4.1%
지 120
 
3.9%
Other values (81) 1282
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1885
61.7%
Decimal Number 544
 
17.8%
Space Separator 517
 
16.9%
Dash Punctuation 95
 
3.1%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
흥 169
 
9.0%
고 163
 
8.6%
도 160
 
8.5%
남 146
 
7.7%
군 125
 
6.6%
리 125
 
6.6%
전 124
 
6.6%
라 124
 
6.6%
지 120
 
6.4%
번 117
 
6.2%
Other values (67) 512
27.2%
Decimal Number
ValueCountFrequency (%)
2 115
21.1%
1 101
18.6%
3 50
9.2%
6 48
8.8%
4 45
 
8.3%
5 44
 
8.1%
9 43
 
7.9%
0 36
 
6.6%
7 32
 
5.9%
8 30
 
5.5%
Space Separator
ValueCountFrequency (%)
517
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1885
61.7%
Common 1170
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
흥 169
 
9.0%
고 163
 
8.6%
도 160
 
8.5%
남 146
 
7.7%
군 125
 
6.6%
리 125
 
6.6%
전 124
 
6.6%
라 124
 
6.6%
지 120
 
6.4%
번 117
 
6.2%
Other values (67) 512
27.2%
Common
ValueCountFrequency (%)
517
44.2%
2 115
 
9.8%
1 101
 
8.6%
- 95
 
8.1%
3 50
 
4.3%
6 48
 
4.1%
4 45
 
3.8%
5 44
 
3.8%
9 43
 
3.7%
0 36
 
3.1%
Other values (4) 76
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1885
61.7%
ASCII 1170
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
517
44.2%
2 115
 
9.8%
1 101
 
8.6%
- 95
 
8.1%
3 50
 
4.3%
6 48
 
4.1%
4 45
 
3.8%
5 44
 
3.8%
9 43
 
3.7%
0 36
 
3.1%
Other values (4) 76
 
6.5%
Hangul
ValueCountFrequency (%)
흥 169
 
9.0%
고 163
 
8.6%
도 160
 
8.5%
남 146
 
7.7%
군 125
 
6.6%
리 125
 
6.6%
전 124
 
6.6%
라 124
 
6.6%
지 120
 
6.4%
번 117
 
6.2%
Other values (67) 512
27.2%

도로명전체주소
Text

MISSING 

Distinct73
Distinct (%)94.8%
Missing47
Missing (%)37.9%
Memory size1.1 KiB
2023-12-13T03:56:23.432679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length21.311688
Min length18

Characters and Unicode

Total characters1641
Distinct characters104
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)90.9%

Sample

1st row전라남도 고흥군 고흥읍 봉동주공길 9
2nd row전라남도 고흥군 봉래면 나로도항길 63
3rd row전라남도 고흥군 도양읍 명동길 16, 3층
4th row전라남도 고흥군 포두면 남촌중앙길 38
5th row전라남도 고흥군 포두면 정자길 8
ValueCountFrequency (%)
전라남도 77
19.3%
고흥군 77
19.3%
고흥읍 26
 
6.5%
도양읍 16
 
4.0%
고흥로 9
 
2.3%
여산당촌길 7
 
1.8%
봉황길 6
 
1.5%
9 6
 
1.5%
1층 5
 
1.3%
도화면 5
 
1.3%
Other values (121) 164
41.2%
2023-12-13T03:56:24.112076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
321
19.6%
흥 115
 
7.0%
고 112
 
6.8%
도 105
 
6.4%
남 89
 
5.4%
전 77
 
4.7%
군 77
 
4.7%
라 77
 
4.7%
길 59
 
3.6%
1 49
 
3.0%
Other values (94) 560
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1080
65.8%
Space Separator 321
 
19.6%
Decimal Number 209
 
12.7%
Dash Punctuation 21
 
1.3%
Other Punctuation 10
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
흥 115
 
10.6%
고 112
 
10.4%
도 105
 
9.7%
남 89
 
8.2%
전 77
 
7.1%
군 77
 
7.1%
라 77
 
7.1%
길 59
 
5.5%
읍 42
 
3.9%
면 35
 
3.2%
Other values (81) 292
27.0%
Decimal Number
ValueCountFrequency (%)
1 49
23.4%
2 37
17.7%
3 28
13.4%
4 22
10.5%
5 16
 
7.7%
9 16
 
7.7%
6 14
 
6.7%
8 12
 
5.7%
7 8
 
3.8%
0 7
 
3.3%
Space Separator
ValueCountFrequency (%)
321
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1080
65.8%
Common 561
34.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
흥 115
 
10.6%
고 112
 
10.4%
도 105
 
9.7%
남 89
 
8.2%
전 77
 
7.1%
군 77
 
7.1%
라 77
 
7.1%
길 59
 
5.5%
읍 42
 
3.9%
면 35
 
3.2%
Other values (81) 292
27.0%
Common
ValueCountFrequency (%)
321
57.2%
1 49
 
8.7%
2 37
 
6.6%
3 28
 
5.0%
4 22
 
3.9%
- 21
 
3.7%
5 16
 
2.9%
9 16
 
2.9%
6 14
 
2.5%
8 12
 
2.1%
Other values (3) 25
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1080
65.8%
ASCII 561
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
321
57.2%
1 49
 
8.7%
2 37
 
6.6%
3 28
 
5.0%
4 22
 
3.9%
- 21
 
3.7%
5 16
 
2.9%
9 16
 
2.9%
6 14
 
2.5%
8 12
 
2.1%
Other values (3) 25
 
4.5%
Hangul
ValueCountFrequency (%)
흥 115
 
10.6%
고 112
 
10.4%
도 105
 
9.7%
남 89
 
8.2%
전 77
 
7.1%
군 77
 
7.1%
라 77
 
7.1%
길 59
 
5.5%
읍 42
 
3.9%
면 35
 
3.2%
Other values (81) 292
27.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)40.0%
Missing49
Missing (%)39.5%
Infinite0
Infinite (%)0.0%
Mean59539.68
Minimum59502
Maximum59569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T03:56:24.306509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59502
5-th percentile59508.4
Q159529
median59540
Q359554.5
95-th percentile59567.6
Maximum59569
Range67
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation17.909804
Coefficient of variation (CV)0.00030080451
Kurtosis-0.52994087
Mean59539.68
Median Absolute Deviation (MAD)13
Skewness-0.38669832
Sum4465476
Variance320.76108
MonotonicityNot monotonic
2023-12-13T03:56:24.521381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
59538 10
 
8.1%
59540 8
 
6.5%
59557 5
 
4.0%
59543 5
 
4.0%
59569 4
 
3.2%
59511 4
 
3.2%
59529 4
 
3.2%
59559 3
 
2.4%
59558 3
 
2.4%
59502 3
 
2.4%
Other values (20) 26
21.0%
(Missing) 49
39.5%
ValueCountFrequency (%)
59502 3
2.4%
59507 1
 
0.8%
59509 1
 
0.8%
59511 4
3.2%
59513 2
1.6%
59517 1
 
0.8%
59522 2
1.6%
59524 2
1.6%
59525 1
 
0.8%
59529 4
3.2%
ValueCountFrequency (%)
59569 4
3.2%
59567 1
 
0.8%
59566 1
 
0.8%
59564 1
 
0.8%
59559 3
2.4%
59558 3
2.4%
59557 5
4.0%
59555 1
 
0.8%
59554 1
 
0.8%
59553 2
 
1.6%

사업장명
Text

Distinct99
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T03:56:24.852257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.1693548
Min length4

Characters and Unicode

Total characters641
Distinct characters112
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)66.9%

Sample

1st row주공이발관
2nd row금호이발관
3rd row바다스파랜드이발관
4th row남촌이발관
5th row은희이발관
ValueCountFrequency (%)
중앙이발관 5
 
4.0%
현대이발관 4
 
3.2%
새서울이발관 3
 
2.4%
중앙이용원 3
 
2.4%
대성이용원 3
 
2.4%
금강이발관 3
 
2.4%
도화이발관 2
 
1.6%
금호이발관 2
 
1.6%
고흥이발관 2
 
1.6%
대성이발관 2
 
1.6%
Other values (91) 97
77.0%
2023-12-13T03:56:25.379507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 125
19.5%
발 80
 
12.5%
관 77
 
12.0%
원 49
 
7.6%
용 47
 
7.3%
대 19
 
3.0%
금 10
 
1.6%
중 9
 
1.4%
성 9
 
1.4%
신 8
 
1.2%
Other values (102) 208
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 639
99.7%
Space Separator 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 125
19.6%
발 80
 
12.5%
관 77
 
12.1%
원 49
 
7.7%
용 47
 
7.4%
대 19
 
3.0%
금 10
 
1.6%
중 9
 
1.4%
성 9
 
1.4%
신 8
 
1.3%
Other values (101) 206
32.2%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 639
99.7%
Common 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 125
19.6%
발 80
 
12.5%
관 77
 
12.1%
원 49
 
7.7%
용 47
 
7.4%
대 19
 
3.0%
금 10
 
1.6%
중 9
 
1.4%
성 9
 
1.4%
신 8
 
1.3%
Other values (101) 206
32.2%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 639
99.7%
ASCII 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 125
19.6%
발 80
 
12.5%
관 77
 
12.1%
원 49
 
7.7%
용 47
 
7.4%
대 19
 
3.0%
금 10
 
1.6%
중 9
 
1.4%
성 9
 
1.4%
신 8
 
1.3%
Other values (101) 206
32.2%
ASCII
ValueCountFrequency (%)
2
100.0%

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
일반이용업
124 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 124
100.0%

Length

2023-12-13T03:56:25.548889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:56:25.670098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 124
100.0%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)87.8%
Missing9
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean224407.53
Minimum210810.05
Maximum242857.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T03:56:25.807004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210810.05
5-th percentile211765.69
Q1216019.48
median225866.72
Q3229583.87
95-th percentile241713.36
Maximum242857.1
Range32047.042
Interquartile range (IQR)13564.393

Descriptive statistics

Standard deviation8436.9651
Coefficient of variation (CV)0.037596622
Kurtosis-0.51892205
Mean224407.53
Median Absolute Deviation (MAD)4572.2402
Skewness0.018554846
Sum25806866
Variance71182381
MonotonicityNot monotonic
2023-12-13T03:56:26.037910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
226034.4705 6
 
4.8%
225473.0339 4
 
3.2%
228656.7846 2
 
1.6%
225568.971 2
 
1.6%
225962.2024 2
 
1.6%
233139.9433 2
 
1.6%
225696.7427 2
 
1.6%
241889.1368 2
 
1.6%
226018.4615 1
 
0.8%
225962.5384 1
 
0.8%
Other values (91) 91
73.4%
(Missing) 9
 
7.3%
ValueCountFrequency (%)
210810.0536 1
0.8%
211342.9165 1
0.8%
211367.277 1
0.8%
211583.2659 1
0.8%
211585.7865 1
0.8%
211686.4361 1
0.8%
211799.6564 1
0.8%
211913.1139 1
0.8%
212121.8967 1
0.8%
212218.3172 1
0.8%
ValueCountFrequency (%)
242857.0955 1
0.8%
242845.097 1
0.8%
242471.0634 1
0.8%
241889.1368 2
1.6%
241821.6796 1
0.8%
241666.9331 1
0.8%
234796.5778 1
0.8%
234792.6682 1
0.8%
233285.8581 1
0.8%
233139.9433 2
1.6%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)87.8%
Missing9
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean120873.98
Minimum104065.02
Maximum142547.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T03:56:26.289836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104065.02
5-th percentile107051.45
Q1114485.85
median122838.69
Q3123562.28
95-th percentile137722.94
Maximum142547.68
Range38482.655
Interquartile range (IQR)9076.4339

Descriptive statistics

Standard deviation8424.2678
Coefficient of variation (CV)0.069694633
Kurtosis0.28378968
Mean120873.98
Median Absolute Deviation (MAD)5369.5947
Skewness0.43836035
Sum13900508
Variance70968287
MonotonicityNot monotonic
2023-12-13T03:56:26.711460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123562.279 6
 
4.8%
123255.911 4
 
3.2%
128208.2888 2
 
1.6%
123264.1436 2
 
1.6%
123256.4776 2
 
1.6%
131206.1201 2
 
1.6%
123257.5906 2
 
1.6%
107497.9255 2
 
1.6%
123453.9505 1
 
0.8%
127367.1888 1
 
0.8%
Other values (91) 91
73.4%
(Missing) 9
 
7.3%
ValueCountFrequency (%)
104065.0227 1
0.8%
106688.2058 1
0.8%
106728.5718 1
0.8%
106747.1164 1
0.8%
106949.5459 1
0.8%
107000.8491 1
0.8%
107073.142 1
0.8%
107456.0684 1
0.8%
107497.9255 2
1.6%
107939.6956 1
0.8%
ValueCountFrequency (%)
142547.6774 1
0.8%
142382.1219 1
0.8%
141643.4714 1
0.8%
141441.4567 1
0.8%
141314.1784 1
0.8%
140097.6972 1
0.8%
136705.1916 1
0.8%
133229.5431 1
0.8%
131513.6604 1
0.8%
131369.5018 1
0.8%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
일반이용업
124 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반이용업 124
100.0%

Length

2023-12-13T03:56:26.913697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:56:27.082691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반이용업 124
100.0%

Sample

번호개방서비스명개방서비스 아이디개방자치단체코드관리번호인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명업태구분명좌표정보(x)좌표정보(y)위생업태명
01이용업05_19_01_P48800004880000-203-1987-000021987-07-311영업/정상1영업<NA>22.09548802전라남도 고흥군 고흥읍 남계리 649-2번지전라남도 고흥군 고흥읍 봉동주공길 959543주공이발관일반이용업226402.5504123265.7471일반이용업
12이용업05_19_01_P48800004880000-203-2019-000012019-12-171영업/정상1영업<NA>15.0548943전라남도 고흥군 봉래면 신금리 1089-35번지전라남도 고흥군 봉래면 나로도항길 6359569금호이발관일반이용업241889.1368107497.9255일반이용업
23이용업05_19_01_P48800004880000-203-1995-000011995-08-181영업/정상1영업<NA>20.79548905전라남도 고흥군 도양읍 봉암리 2240-3번지 (3층)전라남도 고흥군 도양읍 명동길 16, 3층59558바다스파랜드이발관일반이용업212486.5979114345.4267일반이용업
34이용업05_19_01_P48800004880000-203-1984-000041984-04-061영업/정상1영업<NA>13.2548883전라남도 고흥군 포두면 남촌리 225번지전라남도 고흥군 포두면 남촌중앙길 3859522남촌이발관일반이용업232829.9786122405.5606일반이용업
45이용업05_19_01_P48800004880000-203-1984-000051984-01-101영업/정상1영업<NA>16.0548881전라남도 고흥군 포두면 길두리 1072-1번지전라남도 고흥군 포두면 정자길 859524은희이발관일반이용업231368.1688119015.8484일반이용업
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