Overview

Dataset statistics

Number of variables22
Number of observations32
Missing cells65
Missing cells (%)9.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory190.1 B

Variable types

Numeric6
Categorical10
Text4
DateTime2

Dataset

Description전라남도 고흥군 당구장업에 대한 데이터로 영업상태명, 소재지전체주소, 사업장명, 문화체육업종명, 공사립구분명, 건축물연면적 등을 제공합니다.
Author전라남도 고흥군
URLhttps://www.data.go.kr/data/15090605/fileData.do

Alerts

개방서비스명 has constant value ""Constant
개방서비스 아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
문화체육업종명 has constant value ""Constant
공사립구분명 has constant value ""Constant
폐업일자 has 21 (65.6%) missing valuesMissing
소재지우편번호 has 15 (46.9%) missing valuesMissing
도로명전체주소 has 1 (3.1%) missing valuesMissing
도로명우편번호 has 16 (50.0%) missing valuesMissing
건축물연면적 has 12 (37.5%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:25:27.273897
Analysis finished2023-12-12 09:25:27.603122
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T18:25:27.693236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2023-12-12T18:25:27.883954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
당구장업
32 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 32
100.0%

Length

2023-12-12T18:25:28.058590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:25:28.159716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 32
100.0%

개방서비스 아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
10_32_01_P
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10_32_01_P
2nd row10_32_01_P
3rd row10_32_01_P
4th row10_32_01_P
5th row10_32_01_P

Common Values

ValueCountFrequency (%)
10_32_01_P 32
100.0%

Length

2023-12-12T18:25:28.273922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:25:28.403794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10_32_01_p 32
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
4880000
32 

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 32
100.0%

Length

2023-12-12T18:25:28.563283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:25:28.671405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4880000 32
100.0%

관리번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T18:25:28.849876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters640
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st rowCDFH3301082004000001
2nd rowCDFH3301082008000002
3rd rowCDFH3301082009000002
4th rowCDFH3301082011000002
5th rowCDFH3301081995000002
ValueCountFrequency (%)
cdfh3301082004000001 1
 
3.1%
cdfh3301082008000002 1
 
3.1%
cdfh3301081996000002 1
 
3.1%
cdfh3301082001000002 1
 
3.1%
cdfh3301082012000001 1
 
3.1%
cdfh3301082014000001 1
 
3.1%
cdfh3301082000000002 1
 
3.1%
cdfh3301082021000001 1
 
3.1%
cdfh3301082018000001 1
 
3.1%
cdfh3301081996000003 1
 
3.1%
Other values (22) 22
68.8%
2023-12-12T18:25:29.244642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 265
41.4%
1 69
 
10.8%
3 67
 
10.5%
2 40
 
6.2%
8 36
 
5.6%
C 32
 
5.0%
D 32
 
5.0%
F 32
 
5.0%
H 32
 
5.0%
9 16
 
2.5%
Other values (4) 19
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 512
80.0%
Uppercase Letter 128
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 265
51.8%
1 69
 
13.5%
3 67
 
13.1%
2 40
 
7.8%
8 36
 
7.0%
9 16
 
3.1%
6 8
 
1.6%
4 5
 
1.0%
5 3
 
0.6%
7 3
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 32
25.0%
D 32
25.0%
F 32
25.0%
H 32
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 512
80.0%
Latin 128
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 265
51.8%
1 69
 
13.5%
3 67
 
13.1%
2 40
 
7.8%
8 36
 
7.0%
9 16
 
3.1%
6 8
 
1.6%
4 5
 
1.0%
5 3
 
0.6%
7 3
 
0.6%
Latin
ValueCountFrequency (%)
C 32
25.0%
D 32
25.0%
F 32
25.0%
H 32
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 265
41.4%
1 69
 
10.8%
3 67
 
10.5%
2 40
 
6.2%
8 36
 
5.6%
C 32
 
5.0%
D 32
 
5.0%
F 32
 
5.0%
H 32
 
5.0%
9 16
 
2.5%
Other values (4) 19
 
3.0%

인허가일자
Date

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum1995-09-07 00:00:00
Maximum2021-05-04 00:00:00
2023-12-12T18:25:29.405252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:25:29.569106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

영업상태구분코드
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
1
21 
4
6 
3
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
65.6%
4 6
 
18.8%
3 5
 
15.6%

Length

2023-12-12T18:25:29.744831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:25:29.872506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
65.6%
4 6
 
18.8%
3 5
 
15.6%

영업상태명
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업/정상
21 
취소/말소/만료/정지/중지
6 
폐업
5 

Length

Max length14
Median length5
Mean length6.21875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 21
65.6%
취소/말소/만료/정지/중지 6
 
18.8%
폐업 5
 
15.6%

Length

2023-12-12T18:25:30.004221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:25:30.134770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
65.6%
취소/말소/만료/정지/중지 6
 
18.8%
폐업 5
 
15.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
13
21 
35
6 
3
5 

Length

Max length2
Median length2
Mean length1.84375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 21
65.6%
35 6
 
18.8%
3 5
 
15.6%

Length

2023-12-12T18:25:30.306283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:25:30.426099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 21
65.6%
35 6
 
18.8%
3 5
 
15.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
영업중
21 
직권말소
6 
폐업
5 

Length

Max length4
Median length3
Mean length3.03125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 21
65.6%
직권말소 6
 
18.8%
폐업 5
 
15.6%

Length

2023-12-12T18:25:30.560177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:25:30.698002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 21
65.6%
직권말소 6
 
18.8%
폐업 5
 
15.6%

폐업일자
Date

MISSING 

Distinct9
Distinct (%)81.8%
Missing21
Missing (%)65.6%
Memory size388.0 B
Minimum2003-02-07 00:00:00
Maximum2016-10-28 00:00:00
2023-12-12T18:25:30.830229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:25:30.967330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

소재지우편번호
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)64.7%
Missing15
Missing (%)46.9%
Infinite0
Infinite (%)0.0%
Mean520094.65
Minimum59543
Maximum548943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T18:25:31.133905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59543
5-th percentile450950.2
Q1548831
median548904
Q3548907
95-th percentile548933.4
Maximum548943
Range489400
Interquartile range (IQR)76

Descriptive statistics

Standard deviation118681.45
Coefficient of variation (CV)0.22819203
Kurtosis16.999993
Mean520094.65
Median Absolute Deviation (MAD)27
Skewness-4.1231044
Sum8841609
Variance1.4085287 × 1010
MonotonicityNot monotonic
2023-12-12T18:25:31.277100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
548931 3
 
9.4%
548831 2
 
6.2%
548907 2
 
6.2%
548904 2
 
6.2%
548802 2
 
6.2%
548943 1
 
3.1%
548805 1
 
3.1%
548851 1
 
3.1%
548881 1
 
3.1%
59543 1
 
3.1%
(Missing) 15
46.9%
ValueCountFrequency (%)
59543 1
 
3.1%
548802 2
6.2%
548805 1
 
3.1%
548831 2
6.2%
548851 1
 
3.1%
548881 1
 
3.1%
548904 2
6.2%
548905 1
 
3.1%
548907 2
6.2%
548931 3
9.4%
ValueCountFrequency (%)
548943 1
 
3.1%
548931 3
9.4%
548907 2
6.2%
548905 1
 
3.1%
548904 2
6.2%
548881 1
 
3.1%
548851 1
 
3.1%
548831 2
6.2%
548805 1
 
3.1%
548802 2
6.2%

소재지전체주소
Text

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T18:25:31.508708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29
Mean length25.09375
Min length18

Characters and Unicode

Total characters803
Distinct characters59
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)81.2%

Sample

1st row전라남도 고흥군 봉래면 신금리 1089번지
2nd row전라남도 고흥군 고흥읍 서문리 216-5번지 라이프프라자1층102호
3rd row전라남도 고흥군 금산면 대흥리 489-6번지
4th row전라남도 고흥군 금산면 대흥리 489-6번지
5th row전라남도 고흥군 과역면 과역리 176-2번지
ValueCountFrequency (%)
전라남도 32
19.8%
고흥군 32
19.8%
고흥읍 11
 
6.8%
도양읍 9
 
5.6%
봉암리 8
 
4.9%
남계리 6
 
3.7%
서문리 4
 
2.5%
봉래면 3
 
1.9%
대흥리 3
 
1.9%
과역면 3
 
1.9%
Other values (42) 51
31.5%
2023-12-12T18:25:31.916483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
130
 
16.2%
흥 46
 
5.7%
고 43
 
5.4%
도 42
 
5.2%
남 38
 
4.7%
라 34
 
4.2%
군 32
 
4.0%
전 32
 
4.0%
2 30
 
3.7%
- 30
 
3.7%
Other values (49) 346
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 483
60.1%
Decimal Number 160
 
19.9%
Space Separator 130
 
16.2%
Dash Punctuation 30
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
흥 46
 
9.5%
고 43
 
8.9%
도 42
 
8.7%
남 38
 
7.9%
라 34
 
7.0%
군 32
 
6.6%
전 32
 
6.6%
리 29
 
6.0%
번 26
 
5.4%
지 26
 
5.4%
Other values (37) 135
28.0%
Decimal Number
ValueCountFrequency (%)
2 30
18.8%
1 25
15.6%
6 21
13.1%
9 18
11.2%
3 15
9.4%
7 15
9.4%
0 12
 
7.5%
4 10
 
6.2%
8 9
 
5.6%
5 5
 
3.1%
Space Separator
ValueCountFrequency (%)
130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 483
60.1%
Common 320
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
흥 46
 
9.5%
고 43
 
8.9%
도 42
 
8.7%
남 38
 
7.9%
라 34
 
7.0%
군 32
 
6.6%
전 32
 
6.6%
리 29
 
6.0%
번 26
 
5.4%
지 26
 
5.4%
Other values (37) 135
28.0%
Common
ValueCountFrequency (%)
130
40.6%
2 30
 
9.4%
- 30
 
9.4%
1 25
 
7.8%
6 21
 
6.6%
9 18
 
5.6%
3 15
 
4.7%
7 15
 
4.7%
0 12
 
3.8%
4 10
 
3.1%
Other values (2) 14
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 483
60.1%
ASCII 320
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
130
40.6%
2 30
 
9.4%
- 30
 
9.4%
1 25
 
7.8%
6 21
 
6.6%
9 18
 
5.6%
3 15
 
4.7%
7 15
 
4.7%
0 12
 
3.8%
4 10
 
3.1%
Other values (2) 14
 
4.4%
Hangul
ValueCountFrequency (%)
흥 46
 
9.5%
고 43
 
8.9%
도 42
 
8.7%
남 38
 
7.9%
라 34
 
7.0%
군 32
 
6.6%
전 32
 
6.6%
리 29
 
6.0%
번 26
 
5.4%
지 26
 
5.4%
Other values (37) 135
28.0%

도로명전체주소
Text

MISSING 

Distinct29
Distinct (%)93.5%
Missing1
Missing (%)3.1%
Memory size388.0 B
2023-12-12T18:25:32.188022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length37
Mean length24.516129
Min length19

Characters and Unicode

Total characters760
Distinct characters95
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

Unique27 ?
Unique (%)87.1%

Sample

1st row전라남도 고흥군 봉래면 축정1길 35-2
2nd row전라남도 고흥군 고흥읍 여산당촌길 43 (라이프프라자1층102호)
3rd row전라남도 고흥군 금산면 거금중앙길 127
4th row전라남도 고흥군 과역면 고흥로 3009
5th row전라남도 고흥군 동강면 원유둔1길 28-7
ValueCountFrequency (%)
전라남도 31
17.9%
고흥군 31
17.9%
고흥읍 11
 
6.4%
도양읍 9
 
5.2%
고흥로 6
 
3.5%
2층 5
 
2.9%
봉래면 3
 
1.7%
비봉로 3
 
1.7%
봉동주공길 3
 
1.7%
과역면 3
 
1.7%
Other values (61) 68
39.3%
2023-12-12T18:25:32.716013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
143
18.8%
고 48
 
6.3%
흥 48
 
6.3%
도 42
 
5.5%
남 35
 
4.6%
라 33
 
4.3%
전 31
 
4.1%
군 31
 
4.1%
1 25
 
3.3%
2 22
 
2.9%
Other values (85) 302
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 481
63.3%
Space Separator 143
 
18.8%
Decimal Number 108
 
14.2%
Dash Punctuation 9
 
1.2%
Other Punctuation 7
 
0.9%
Open Punctuation 6
 
0.8%
Close Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 48
 
10.0%
흥 48
 
10.0%
도 42
 
8.7%
남 35
 
7.3%
라 33
 
6.9%
전 31
 
6.4%
군 31
 
6.4%
길 20
 
4.2%
읍 20
 
4.2%
로 12
 
2.5%
Other values (70) 161
33.5%
Decimal Number
ValueCountFrequency (%)
1 25
23.1%
2 22
20.4%
3 13
12.0%
4 12
11.1%
9 8
 
7.4%
7 8
 
7.4%
5 7
 
6.5%
0 5
 
4.6%
8 4
 
3.7%
6 4
 
3.7%
Space Separator
ValueCountFrequency (%)
143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 481
63.3%
Common 279
36.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 48
 
10.0%
흥 48
 
10.0%
도 42
 
8.7%
남 35
 
7.3%
라 33
 
6.9%
전 31
 
6.4%
군 31
 
6.4%
길 20
 
4.2%
읍 20
 
4.2%
로 12
 
2.5%
Other values (70) 161
33.5%
Common
ValueCountFrequency (%)
143
51.3%
1 25
 
9.0%
2 22
 
7.9%
3 13
 
4.7%
4 12
 
4.3%
- 9
 
3.2%
9 8
 
2.9%
7 8
 
2.9%
5 7
 
2.5%
, 7
 
2.5%
Other values (5) 25
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 481
63.3%
ASCII 279
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
143
51.3%
1 25
 
9.0%
2 22
 
7.9%
3 13
 
4.7%
4 12
 
4.3%
- 9
 
3.2%
9 8
 
2.9%
7 8
 
2.9%
5 7
 
2.5%
, 7
 
2.5%
Other values (5) 25
 
9.0%
Hangul
ValueCountFrequency (%)
고 48
 
10.0%
흥 48
 
10.0%
도 42
 
8.7%
남 35
 
7.3%
라 33
 
6.9%
전 31
 
6.4%
군 31
 
6.4%
길 20
 
4.2%
읍 20
 
4.2%
로 12
 
2.5%
Other values (70) 161
33.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)62.5%
Missing16
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean151299.31
Minimum59511
Maximum548931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T18:25:32.863043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59511
5-th percentile59524.5
Q159540
median59550
Q359569
95-th percentile548913
Maximum548931
Range489420
Interquartile range (IQR)29

Descriptive statistics

Standard deviation197263.36
Coefficient of variation (CV)1.3037955
Kurtosis1.2848691
Mean151299.31
Median Absolute Deviation (MAD)10
Skewness1.7719248
Sum2420789
Variance3.8912835 × 1010
MonotonicityNot monotonic
2023-12-12T18:25:32.998247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
59543 3
 
9.4%
59540 3
 
9.4%
59569 2
 
6.2%
59557 2
 
6.2%
548931 1
 
3.1%
548851 1
 
3.1%
59511 1
 
3.1%
548907 1
 
3.1%
59529 1
 
3.1%
59559 1
 
3.1%
(Missing) 16
50.0%
ValueCountFrequency (%)
59511 1
 
3.1%
59529 1
 
3.1%
59540 3
9.4%
59543 3
9.4%
59557 2
6.2%
59559 1
 
3.1%
59569 2
6.2%
548851 1
 
3.1%
548907 1
 
3.1%
548931 1
 
3.1%
ValueCountFrequency (%)
548931 1
 
3.1%
548907 1
 
3.1%
548851 1
 
3.1%
59569 2
6.2%
59559 1
 
3.1%
59557 2
6.2%
59543 3
9.4%
59540 3
9.4%
59529 1
 
3.1%
59511 1
 
3.1%

사업장명
Text

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T18:25:33.205920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.1875
Min length4

Characters and Unicode

Total characters166
Distinct characters56
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)81.2%

Sample

1st row영 당구장
2nd row고흥당구장
3rd row당구클럽
4th row거금도당구장
5th row오백당구장
ValueCountFrequency (%)
당구클럽 2
 
5.7%
과역당구장 2
 
5.7%
제일당구장 2
 
5.7%
당구장 1
 
2.9%
영 1
 
2.9%
클럽 1
 
2.9%
다마 1
 
2.9%
화신 1
 
2.9%
원당구장 1
 
2.9%
오공당구장 1
 
2.9%
Other values (22) 22
62.9%
2023-12-12T18:25:33.562713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 31
18.7%
구 31
18.7%
장 25
15.1%
클 6
 
3.6%
럽 6
 
3.6%
스 3
 
1.8%
동 3
 
1.8%
3
 
1.8%
도 2
 
1.2%
화 2
 
1.2%
Other values (46) 54
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162
97.6%
Space Separator 3
 
1.8%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 31
19.1%
구 31
19.1%
장 25
15.4%
클 6
 
3.7%
럽 6
 
3.7%
스 3
 
1.9%
동 3
 
1.9%
도 2
 
1.2%
화 2
 
1.2%
우 2
 
1.2%
Other values (44) 51
31.5%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162
97.6%
Common 4
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 31
19.1%
구 31
19.1%
장 25
15.4%
클 6
 
3.7%
럽 6
 
3.7%
스 3
 
1.9%
동 3
 
1.9%
도 2
 
1.2%
화 2
 
1.2%
우 2
 
1.2%
Other values (44) 51
31.5%
Common
ValueCountFrequency (%)
3
75.0%
2 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162
97.6%
ASCII 4
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 31
19.1%
구 31
19.1%
장 25
15.4%
클 6
 
3.7%
럽 6
 
3.7%
스 3
 
1.9%
동 3
 
1.9%
도 2
 
1.2%
화 2
 
1.2%
우 2
 
1.2%
Other values (44) 51
31.5%
ASCII
ValueCountFrequency (%)
3
75.0%
2 1
 
25.0%

좌표정보(x)
Real number (ℝ)

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223400.93
Minimum211342.92
Maximum242290.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T18:25:33.721575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum211342.92
5-th percentile211650.75
Q1212550.04
median225718.4
Q3229467.07
95-th percentile241827.34
Maximum242290.68
Range30947.767
Interquartile range (IQR)16917.023

Descriptive statistics

Standard deviation9867.9852
Coefficient of variation (CV)0.044171639
Kurtosis-0.92741331
Mean223400.93
Median Absolute Deviation (MAD)7331.7714
Skewness0.23647438
Sum7148829.7
Variance97377131
MonotonicityNot monotonic
2023-12-12T18:25:33.842235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
226459.4257 2
 
6.2%
211650.7468 2
 
6.2%
225692.0102 2
 
6.2%
212461.1041 1
 
3.1%
233059.5096 1
 
3.1%
212661.7696 1
 
3.1%
211342.9165 1
 
3.1%
225828.7002 1
 
3.1%
212380.3659 1
 
3.1%
212536.4346 1
 
3.1%
Other values (19) 19
59.4%
ValueCountFrequency (%)
211342.9165 1
3.1%
211650.7468 2
6.2%
212308.6892 1
3.1%
212380.3659 1
3.1%
212461.1041 1
3.1%
212496.1955 1
3.1%
212536.4346 1
3.1%
212554.5792 1
3.1%
212653.6399 1
3.1%
212661.7696 1
3.1%
ValueCountFrequency (%)
242290.6831 1
3.1%
242061.4721 1
3.1%
241635.7758 1
3.1%
233059.5096 1
3.1%
233040.8335 1
3.1%
232996.8224 1
3.1%
231094.192 1
3.1%
230527.4504 1
3.1%
229113.6043 1
3.1%
226584.1779 1
3.1%

좌표정보(y)
Real number (ℝ)

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118701.83
Minimum106728.57
Maximum142606.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T18:25:33.977244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum106728.57
5-th percentile107163.17
Q1114313.42
median117136.11
Q3123265.86
95-th percentile131377.35
Maximum142606.66
Range35878.085
Interquartile range (IQR)8952.4398

Descriptive statistics

Standard deviation8517.7117
Coefficient of variation (CV)0.071757208
Kurtosis0.50044743
Mean118701.83
Median Absolute Deviation (MAD)6103.6424
Skewness0.60768174
Sum3798458.5
Variance72551412
MonotonicityNot monotonic
2023-12-12T18:25:34.116816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
123227.8189 2
 
6.2%
107163.1656 2
 
6.2%
123000.7603 2
 
6.2%
114565.3561 1
 
3.1%
131262.7571 1
 
3.1%
114451.4979 1
 
3.1%
106728.5718 1
 
3.1%
123494.9267 1
 
3.1%
114696.6193 1
 
3.1%
114080.8279 1
 
3.1%
Other values (19) 19
59.4%
ValueCountFrequency (%)
106728.5718 1
3.1%
107163.1656 2
6.2%
107244.407 1
3.1%
107390.4611 1
3.1%
108302.0475 1
3.1%
112366.2897 1
3.1%
114080.8279 1
3.1%
114390.952 1
3.1%
114451.4979 1
3.1%
114466.3803 1
3.1%
ValueCountFrequency (%)
142606.6571 1
3.1%
131517.415 1
3.1%
131262.7571 1
3.1%
131149.9925 1
3.1%
123494.9267 1
3.1%
123328.3661 1
3.1%
123298.164 1
3.1%
123295.7102 1
3.1%
123255.911 1
3.1%
123251.6771 1
3.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
당구장업
32 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 32
100.0%

Length

2023-12-12T18:25:34.262320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:25:34.363030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 32
100.0%

공사립구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
사립
32 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 32
100.0%

Length

2023-12-12T18:25:34.483066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:25:34.608907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 32
100.0%

건축물동수
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
<NA>
22 
1
9 
3
 
1

Length

Max length4
Median length4
Mean length3.0625
Min length1

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
68.8%
1 9
28.1%
3 1
 
3.1%

Length

2023-12-12T18:25:34.729971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:25:35.166458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
68.8%
1 9
28.1%
3 1
 
3.1%

건축물연면적
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing12
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean644.095
Minimum105
Maximum4888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T18:25:35.281600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105
5-th percentile147.2275
Q1228.65
median344.65
Q3507.7425
95-th percentile1335.38
Maximum4888
Range4783
Interquartile range (IQR)279.0925

Descriptive statistics

Standard deviation1040.0163
Coefficient of variation (CV)1.614694
Kurtosis16.51925
Mean644.095
Median Absolute Deviation (MAD)144.59
Skewness3.9392532
Sum12881.9
Variance1081633.9
MonotonicityNot monotonic
2023-12-12T18:25:35.427850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
344.65 2
 
6.2%
174.0 1
 
3.1%
597.63 1
 
3.1%
915.0 1
 
3.1%
426.69 1
 
3.1%
352.0 1
 
3.1%
477.78 1
 
3.1%
344.25 1
 
3.1%
332.0 1
 
3.1%
4888.0 1
 
3.1%
Other values (9) 9
28.1%
(Missing) 12
37.5%
ValueCountFrequency (%)
105.0 1
3.1%
149.45 1
3.1%
174.0 1
3.1%
181.38 1
3.1%
188.6 1
3.1%
242.0 1
3.1%
276.89 1
3.1%
332.0 1
3.1%
344.25 1
3.1%
344.65 2
6.2%
ValueCountFrequency (%)
4888.0 1
3.1%
1148.4 1
3.1%
1015.84 1
3.1%
915.0 1
3.1%
597.63 1
3.1%
477.78 1
3.1%
426.69 1
3.1%
377.69 1
3.1%
352.0 1
3.1%
344.65 2
6.2%

Sample

번호개방서비스명개방서비스 아이디개방자치단체코드관리번호인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명건축물동수건축물연면적
01당구장업10_32_01_P4880000CDFH33010820040000012004-12-083폐업3폐업2016-03-04548943전라남도 고흥군 봉래면 신금리 1089번지전라남도 고흥군 봉래면 축정1길 35-259569영 당구장242290.6831107244.407당구장업사립<NA><NA>
12당구장업10_32_01_P4880000CDFH33010820080000022008-11-063폐업3폐업2010-06-25548805전라남도 고흥군 고흥읍 서문리 216-5번지 라이프프라자1층102호전라남도 고흥군 고흥읍 여산당촌길 43 (라이프프라자1층102호)<NA>고흥당구장225473.0339123255.911당구장업사립14888.0
23당구장업10_32_01_P4880000CDFH33010820090000022009-02-063폐업3폐업2011-04-11548931전라남도 고흥군 금산면 대흥리 489-6번지<NA><NA>당구클럽211650.7468107163.1656당구장업사립1344.65
34당구장업10_32_01_P4880000CDFH33010820110000022011-04-143폐업3폐업2013-12-27548931전라남도 고흥군 금산면 대흥리 489-6번지전라남도 고흥군 금산면 거금중앙길 127548931거금도당구장211650.7468107163.1656당구장업사립<NA>344.65
45당구장업10_32_01_P4880000CDFH33010819950000021995-09-073폐업3폐업2006-02-07548831전라남도 고흥군 과역면 과역리 176-2번지전라남도 고흥군 과역면 고흥로 3009<NA>오백당구장232996.8224131517.415당구장업사립<NA><NA>
56당구장업10_32_01_P4880000CDFH33010820180000022018-11-191영업/정상13영업중<NA>548851전라남도 고흥군 동강면 210-9전라남도 고흥군 동강면 원유둔1길 28-7548851동강당구장230527.4504142606.6571당구장업사립1105.0
67당구장업10_32_01_P4880000CDFH33010820190000012019-03-041영업/정상13영업중<NA><NA>전라남도 고흥군 봉래면 신금리 976-2번지전라남도 고흥군 봉래면 진터길 141-1, 1층(사무실)59569마르당구장241635.7758108302.0475당구장업사립1242.0
78당구장업10_32_01_P4880000CDFH33010820050000012005-07-281영업/정상13영업중<NA><NA>전라남도 고흥군 과역면 과역리 69-1번지전라남도 고흥군 과역면 고흥로 297359511과역당구장233040.8335131149.9925당구장업사립<NA>1148.4
89당구장업10_32_01_P4880000CDFH33010820060000022010-06-231영업/정상13영업중<NA>548907전라남도 고흥군 도양읍 2699-171번지전라남도 고흥군 도양읍 녹동남촌1길 19548907당구클럽212653.6399114466.3803당구장업사립<NA><NA>
910당구장업10_32_01_P4880000CDFH33010820100000012010-03-301영업/정상13영업중<NA>548881전라남도 고흥군 포두면 길두리 1341-13번지전라남도 고흥군 포두면 우주로 581<NA>포두당구클럽231094.192119422.3127당구장업사립<NA>1015.84
번호개방서비스명개방서비스 아이디개방자치단체코드관리번호인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명좌표정보(x)좌표정보(y)문화체육업종명공사립구분명건축물동수건축물연면적
2223당구장업10_32_01_P4880000CDFH33010819960000011996-05-171영업/정상13영업중<NA>548905전라남도 고흥군 도양읍 봉암리 1615-24번지전라남도 고흥군 도양읍 천마로 69-1<NA>스타당구장212673.0575114849.8984당구장업사립<NA><NA>
2324당구장업10_32_01_P4880000CDFH33010819960000031996-07-101영업/정상13영업중<NA><NA>전라남도 고흥군 도양읍 봉암리 2240-292번지전라남도 고흥군 도양읍 동두메2길 18-24<NA>녹동당구회관212536.4346114080.8279당구장업사립<NA><NA>
2425당구장업10_32_01_P4880000CDFH33010820180000012018-09-041영업/정상13영업중<NA><NA>전라남도 고흥군 도양읍 봉암리 2060-3번지 볼링장전라남도 고흥군 도양읍 비봉로 114, 볼링장 2층59557우리당구장212380.3659114696.6193당구장업사립<NA>915.0
2526당구장업10_32_01_P4880000CDFH33010820210000012021-05-041영업/정상13영업중<NA><NA>전라남도 고흥군 고흥읍 서문리 207 블루당구클럽전라남도 고흥군 고흥읍 서문여산길 34, 블루당구클럽 2층59540블루당구클럽225828.7002123494.9267당구장업사립1597.63
2627당구장업10_32_01_P4880000CDFH33010820000000022000-01-274취소/말소/만료/정지/중지35직권말소2016-10-28<NA>전라남도 고흥군 고흥읍 남계리 837-30번지전라남도 고흥군 고흥읍 고흥로 1697<NA>나이스당구장225692.0102123000.7603당구장업사립<NA><NA>
2728당구장업10_32_01_P4880000CDFH33010820140000012014-05-294취소/말소/만료/정지/중지35직권말소2016-10-28<NA>전라남도 고흥군 고흥읍 남계리 647-13번지전라남도 고흥군 고흥읍 봉동주공길 15<NA>제일당구장226459.4257123227.8189당구장업사립1174.0
2829당구장업10_32_01_P4880000CDFH33010820120000012012-06-084취소/말소/만료/정지/중지35직권말소2016-09-02548931전라남도 고흥군 금산면 대흥리 694-2번지전라남도 고흥군 금산면 거금중앙길 74<NA>오공당구장211342.9165106728.5718당구장업사립<NA><NA>
2930당구장업10_32_01_P4880000CDFH33010820010000022001-07-204취소/말소/만료/정지/중지35직권말소2007-07-23548907전라남도 고흥군 도양읍 봉암리 2699-176번지전라남도 고흥군 도양읍 녹동남촌3길 3-22<NA>동경당구장212661.7696114451.4979당구장업사립<NA><NA>
3031당구장업10_32_01_P4880000CDFH33010819960000021996-08-164취소/말소/만료/정지/중지35직권말소2016-10-28<NA>전라남도 고흥군 고흥읍 남계리 837-30번지전라남도 고흥군 고흥읍 고흥로 1697<NA>허슬러당구장225692.0102123000.7603당구장업사립<NA><NA>
3132당구장업10_32_01_P4880000CDFH33010819970000011997-12-194취소/말소/만료/정지/중지35직권말소2003-02-07548831전라남도 고흥군 과역면 과역리 164-12번지전라남도 고흥군 과역면 고흥로 2986<NA>과역당구장233059.5096131262.7571당구장업사립<NA><NA>