Overview

Dataset statistics

Number of variables28
Number of observations38
Missing cells97
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory238.5 B

Variable types

Numeric6
Categorical15
Text5
DateTime2

Dataset

Description전라남도 고흥군 인터넷컴퓨터게임시설제공업 현황에 대한 데이터로 상세영업상태명, 소재지전체주소, 사업장명, 문화체육업종명, 지정일자, 제공게임물명, 지역구분명 등을 제공합니다.
Author전라남도 고흥군
URLhttps://www.data.go.kr/data/15090791/fileData.do

Alerts

개방서비스명 has constant value ""Constant
개방서비스 아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
폐업일자 has 16 (42.1%) missing valuesMissing
도로명전체주소 has 9 (23.7%) missing valuesMissing
도로명우편번호 has 19 (50.0%) missing valuesMissing
좌표정보(x) has 2 (5.3%) missing valuesMissing
좌표정보(y) has 2 (5.3%) missing valuesMissing
제작취급품목내용 has 27 (71.1%) missing valuesMissing
시설면적 has 2 (5.3%) missing valuesMissing
총게임기수 has 20 (52.6%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:24:13.790227
Analysis finished2023-12-12 13:24:14.185726
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.5
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T22:24:14.250149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.85
Q110.25
median19.5
Q328.75
95-th percentile36.15
Maximum38
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation11.113055
Coefficient of variation (CV)0.56990028
Kurtosis-1.2
Mean19.5
Median Absolute Deviation (MAD)9.5
Skewness0
Sum741
Variance123.5
MonotonicityStrictly increasing
2023-12-12T22:24:14.402256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1 1
 
2.6%
30 1
 
2.6%
23 1
 
2.6%
24 1
 
2.6%
25 1
 
2.6%
26 1
 
2.6%
27 1
 
2.6%
28 1
 
2.6%
29 1
 
2.6%
31 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
1 1
2.6%
2 1
2.6%
3 1
2.6%
4 1
2.6%
5 1
2.6%
6 1
2.6%
7 1
2.6%
8 1
2.6%
9 1
2.6%
10 1
2.6%
ValueCountFrequency (%)
38 1
2.6%
37 1
2.6%
36 1
2.6%
35 1
2.6%
34 1
2.6%
33 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%
29 1
2.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
인터넷컴퓨터게임시설제공업
38 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 38
100.0%

Length

2023-12-12T22:24:14.589732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:14.715724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 38
100.0%

개방서비스 아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
03_05_05_P
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_05_05_P
2nd row03_05_05_P
3rd row03_05_05_P
4th row03_05_05_P
5th row03_05_05_P

Common Values

ValueCountFrequency (%)
03_05_05_P 38
100.0%

Length

2023-12-12T22:24:14.851289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:14.973586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_05_05_p 38
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
4880000
38 

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 38
100.0%

Length

2023-12-12T22:24:15.090121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:15.212270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4880000 38
100.0%

관리번호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T22:24:15.435822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters760
Distinct characters13
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

Unique38 ?
Unique (%)100.0%

Sample

1st rowCDFF2241022008000009
2nd rowCDFF2241022008000010
3rd rowCDFF2241022008000002
4th rowCDFF2241022008000003
5th rowCDFF2241022008000005
ValueCountFrequency (%)
cdff2241022008000009 1
 
2.6%
cdff2241022013000001 1
 
2.6%
cdff2241022019000001 1
 
2.6%
cdff2241022019000002 1
 
2.6%
cdff2241022008000001 1
 
2.6%
cdff2241022009000001 1
 
2.6%
cdff2241022009000003 1
 
2.6%
cdff2241022010000001 1
 
2.6%
cdff2241022010000002 1
 
2.6%
cdff2241022015000002 1
 
2.6%
Other values (28) 28
73.7%
2023-12-12T22:24:15.781172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 286
37.6%
2 166
21.8%
F 76
 
10.0%
1 75
 
9.9%
4 41
 
5.4%
C 38
 
5.0%
D 38
 
5.0%
8 14
 
1.8%
9 7
 
0.9%
3 6
 
0.8%
Other values (3) 13
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 608
80.0%
Uppercase Letter 152
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 286
47.0%
2 166
27.3%
1 75
 
12.3%
4 41
 
6.7%
8 14
 
2.3%
9 7
 
1.2%
3 6
 
1.0%
5 5
 
0.8%
7 5
 
0.8%
6 3
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 76
50.0%
C 38
25.0%
D 38
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 608
80.0%
Latin 152
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 286
47.0%
2 166
27.3%
1 75
 
12.3%
4 41
 
6.7%
8 14
 
2.3%
9 7
 
1.2%
3 6
 
1.0%
5 5
 
0.8%
7 5
 
0.8%
6 3
 
0.5%
Latin
ValueCountFrequency (%)
F 76
50.0%
C 38
25.0%
D 38
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 286
37.6%
2 166
21.8%
F 76
 
10.0%
1 75
 
9.9%
4 41
 
5.4%
C 38
 
5.0%
D 38
 
5.0%
8 14
 
1.8%
9 7
 
0.9%
3 6
 
0.8%
Other values (3) 13
 
1.7%

인허가일자
Date

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2008-05-23 00:00:00
Maximum2021-05-25 00:00:00
2023-12-12T22:24:15.944417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:24:16.086546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

영업상태구분코드
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
3
21 
1
16 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
3 21
55.3%
1 16
42.1%
4 1
 
2.6%

Length

2023-12-12T22:24:16.222017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:16.338202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 21
55.3%
1 16
42.1%
4 1
 
2.6%

영업상태명
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
폐업
21 
영업/정상
16 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.5789474
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 21
55.3%
영업/정상 16
42.1%
취소/말소/만료/정지/중지 1
 
2.6%

Length

2023-12-12T22:24:16.461506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:16.567456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 21
55.3%
영업/정상 16
42.1%
취소/말소/만료/정지/중지 1
 
2.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
3
21 
13
16 
35
 
1

Length

Max length2
Median length1
Mean length1.4473684
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
3 21
55.3%
13 16
42.1%
35 1
 
2.6%

Length

2023-12-12T22:24:16.675893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:16.767738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 21
55.3%
13 16
42.1%
35 1
 
2.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
폐업
21 
영업중
16 
직권말소
 
1

Length

Max length4
Median length2
Mean length2.4736842
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 21
55.3%
영업중 16
42.1%
직권말소 1
 
2.6%

Length

2023-12-12T22:24:16.872239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:16.962617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 21
55.3%
영업중 16
42.1%
직권말소 1
 
2.6%

폐업일자
Date

MISSING 

Distinct21
Distinct (%)95.5%
Missing16
Missing (%)42.1%
Memory size436.0 B
Minimum2009-12-04 00:00:00
Maximum2021-04-29 00:00:00
2023-12-12T22:24:17.039545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:24:17.146984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

소재지전체주소
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T22:24:17.350497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length24.789474
Min length16

Characters and Unicode

Total characters942
Distinct characters58
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

Unique36 ?
Unique (%)94.7%

Sample

1st row전라남도 고흥군 고흥읍 남계리 878-5번지
2nd row전라남도 고흥군 과역면 과역리 71-20번지
3rd row전라남도 고흥군 고흥읍 남계리
4th row전라남도 고흥군 도양읍 봉암리 2695-25
5th row전라남도 고흥군 도양읍 봉암리 2070-15번지
ValueCountFrequency (%)
전라남도 38
19.2%
고흥군 38
19.2%
고흥읍 17
 
8.6%
도양읍 15
 
7.6%
봉암리 15
 
7.6%
남계리 13
 
6.6%
서문리 3
 
1.5%
과역리 3
 
1.5%
과역면 3
 
1.5%
일반음식점 2
 
1.0%
Other values (48) 51
25.8%
2023-12-12T22:24:17.649747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160
17.0%
흥 56
 
5.9%
고 55
 
5.8%
도 54
 
5.7%
남 51
 
5.4%
전 38
 
4.0%
군 38
 
4.0%
리 38
 
4.0%
라 38
 
4.0%
2 37
 
3.9%
Other values (48) 377
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 588
62.4%
Decimal Number 167
 
17.7%
Space Separator 160
 
17.0%
Dash Punctuation 27
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
흥 56
 
9.5%
고 55
 
9.4%
도 54
 
9.2%
남 51
 
8.7%
전 38
 
6.5%
군 38
 
6.5%
리 38
 
6.5%
라 38
 
6.5%
읍 32
 
5.4%
번 30
 
5.1%
Other values (36) 158
26.9%
Decimal Number
ValueCountFrequency (%)
2 37
22.2%
1 28
16.8%
6 16
9.6%
8 15
9.0%
3 15
9.0%
7 12
 
7.2%
5 12
 
7.2%
9 12
 
7.2%
0 10
 
6.0%
4 10
 
6.0%
Space Separator
ValueCountFrequency (%)
160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 588
62.4%
Common 354
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
흥 56
 
9.5%
고 55
 
9.4%
도 54
 
9.2%
남 51
 
8.7%
전 38
 
6.5%
군 38
 
6.5%
리 38
 
6.5%
라 38
 
6.5%
읍 32
 
5.4%
번 30
 
5.1%
Other values (36) 158
26.9%
Common
ValueCountFrequency (%)
160
45.2%
2 37
 
10.5%
1 28
 
7.9%
- 27
 
7.6%
6 16
 
4.5%
8 15
 
4.2%
3 15
 
4.2%
7 12
 
3.4%
5 12
 
3.4%
9 12
 
3.4%
Other values (2) 20
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 588
62.4%
ASCII 354
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
160
45.2%
2 37
 
10.5%
1 28
 
7.9%
- 27
 
7.6%
6 16
 
4.5%
8 15
 
4.2%
3 15
 
4.2%
7 12
 
3.4%
5 12
 
3.4%
9 12
 
3.4%
Other values (2) 20
 
5.6%
Hangul
ValueCountFrequency (%)
흥 56
 
9.5%
고 55
 
9.4%
도 54
 
9.2%
남 51
 
8.7%
전 38
 
6.5%
군 38
 
6.5%
리 38
 
6.5%
라 38
 
6.5%
읍 32
 
5.4%
번 30
 
5.1%
Other values (36) 158
26.9%

도로명전체주소
Text

MISSING 

Distinct28
Distinct (%)96.6%
Missing9
Missing (%)23.7%
Memory size436.0 B
2023-12-12T22:24:17.831057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length27
Mean length22.551724
Min length19

Characters and Unicode

Total characters654
Distinct characters70
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 (%)93.1%

Sample

1st row전라남도 고흥군 과역면 고흥로 2973
2nd row전라남도 고흥군 도양읍 비봉로 127
3rd row전라남도 고흥군 고흥읍 봉황길 45
4th row전라남도 고흥군 고흥읍 여산당촌길 43
5th row전라남도 고흥군 도양읍 비봉로 132-1
ValueCountFrequency (%)
전라남도 29
19.0%
고흥군 29
19.0%
도양읍 13
 
8.5%
고흥읍 11
 
7.2%
비봉로 5
 
3.3%
봉황길 4
 
2.6%
명동길 4
 
2.6%
고흥로 4
 
2.6%
과역면 3
 
2.0%
25-1 2
 
1.3%
Other values (44) 49
32.0%
2023-12-12T22:24:18.163820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
19.0%
고 44
 
6.7%
흥 44
 
6.7%
도 43
 
6.6%
남 30
 
4.6%
전 29
 
4.4%
군 29
 
4.4%
라 29
 
4.4%
읍 24
 
3.7%
1 21
 
3.2%
Other values (60) 237
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 424
64.8%
Space Separator 124
 
19.0%
Decimal Number 84
 
12.8%
Dash Punctuation 13
 
2.0%
Other Punctuation 7
 
1.1%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 44
 
10.4%
흥 44
 
10.4%
도 43
 
10.1%
남 30
 
7.1%
전 29
 
6.8%
군 29
 
6.8%
라 29
 
6.8%
읍 24
 
5.7%
길 19
 
4.5%
양 13
 
3.1%
Other values (45) 120
28.3%
Decimal Number
ValueCountFrequency (%)
1 21
25.0%
2 20
23.8%
5 8
 
9.5%
9 8
 
9.5%
3 7
 
8.3%
4 6
 
7.1%
7 5
 
6.0%
8 5
 
6.0%
6 3
 
3.6%
0 1
 
1.2%
Space Separator
ValueCountFrequency (%)
124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 424
64.8%
Common 230
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 44
 
10.4%
흥 44
 
10.4%
도 43
 
10.1%
남 30
 
7.1%
전 29
 
6.8%
군 29
 
6.8%
라 29
 
6.8%
읍 24
 
5.7%
길 19
 
4.5%
양 13
 
3.1%
Other values (45) 120
28.3%
Common
ValueCountFrequency (%)
124
53.9%
1 21
 
9.1%
2 20
 
8.7%
- 13
 
5.7%
5 8
 
3.5%
9 8
 
3.5%
, 7
 
3.0%
3 7
 
3.0%
4 6
 
2.6%
7 5
 
2.2%
Other values (5) 11
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 424
64.8%
ASCII 230
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
53.9%
1 21
 
9.1%
2 20
 
8.7%
- 13
 
5.7%
5 8
 
3.5%
9 8
 
3.5%
, 7
 
3.0%
3 7
 
3.0%
4 6
 
2.6%
7 5
 
2.2%
Other values (5) 11
 
4.8%
Hangul
ValueCountFrequency (%)
고 44
 
10.4%
흥 44
 
10.4%
도 43
 
10.1%
남 30
 
7.1%
전 29
 
6.8%
군 29
 
6.8%
라 29
 
6.8%
읍 24
 
5.7%
길 19
 
4.5%
양 13
 
3.1%
Other values (45) 120
28.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)36.8%
Missing19
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean59549.789
Minimum59511
Maximum59564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T22:24:18.328871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59511
5-th percentile59535.3
Q159543
median59558
Q359558.5
95-th percentile59560.4
Maximum59564
Range53
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation13.062155
Coefficient of variation (CV)0.00021934846
Kurtosis2.9074633
Mean59549.789
Median Absolute Deviation (MAD)2
Skewness-1.5304328
Sum1131446
Variance170.61988
MonotonicityNot monotonic
2023-12-12T22:24:18.482863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
59558 6
 
15.8%
59543 4
 
10.5%
59538 3
 
7.9%
59559 3
 
7.9%
59564 1
 
2.6%
59560 1
 
2.6%
59511 1
 
2.6%
(Missing) 19
50.0%
ValueCountFrequency (%)
59511 1
 
2.6%
59538 3
7.9%
59543 4
10.5%
59558 6
15.8%
59559 3
7.9%
59560 1
 
2.6%
59564 1
 
2.6%
ValueCountFrequency (%)
59564 1
 
2.6%
59560 1
 
2.6%
59559 3
7.9%
59558 6
15.8%
59543 4
10.5%
59538 3
7.9%
59511 1
 
2.6%

사업장명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T22:24:18.703918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.5526316
Min length2

Characters and Unicode

Total characters211
Distinct characters87
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row아싸PC방
2nd row타임머신PC방
3rd row칸PC방
4th row파워클릭pc방
5th row나이스피시방
ValueCountFrequency (%)
pc방 6
 
13.0%
핫플레이스 2
 
4.3%
봉pc 1
 
2.2%
토마토pc방 1
 
2.2%
찬스pc방 1
 
2.2%
휴먼pc방 1
 
2.2%
하나인터넷pc방 1
 
2.2%
사이버피시방 1
 
2.2%
블랑pc방 1
 
2.2%
홀릭pc 1
 
2.2%
Other values (30) 30
65.2%
2023-12-12T22:24:19.146205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
방 29
 
13.7%
P 18
 
8.5%
C 18
 
8.5%
p 14
 
6.6%
c 14
 
6.6%
8
 
3.8%
시 5
 
2.4%
스 5
 
2.4%
피 4
 
1.9%
이 4
 
1.9%
Other values (77) 92
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135
64.0%
Uppercase Letter 40
 
19.0%
Lowercase Letter 28
 
13.3%
Space Separator 8
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
방 29
 
21.5%
시 5
 
3.7%
스 5
 
3.7%
피 4
 
3.0%
이 4
 
3.0%
아 3
 
2.2%
핫 2
 
1.5%
성 2
 
1.5%
덴 2
 
1.5%
타 2
 
1.5%
Other values (69) 77
57.0%
Uppercase Letter
ValueCountFrequency (%)
P 18
45.0%
C 18
45.0%
L 2
 
5.0%
H 1
 
2.5%
U 1
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
p 14
50.0%
c 14
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135
64.0%
Latin 68
32.2%
Common 8
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
방 29
 
21.5%
시 5
 
3.7%
스 5
 
3.7%
피 4
 
3.0%
이 4
 
3.0%
아 3
 
2.2%
핫 2
 
1.5%
성 2
 
1.5%
덴 2
 
1.5%
타 2
 
1.5%
Other values (69) 77
57.0%
Latin
ValueCountFrequency (%)
P 18
26.5%
C 18
26.5%
p 14
20.6%
c 14
20.6%
L 2
 
2.9%
H 1
 
1.5%
U 1
 
1.5%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135
64.0%
ASCII 76
36.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
방 29
 
21.5%
시 5
 
3.7%
스 5
 
3.7%
피 4
 
3.0%
이 4
 
3.0%
아 3
 
2.2%
핫 2
 
1.5%
성 2
 
1.5%
덴 2
 
1.5%
타 2
 
1.5%
Other values (69) 77
57.0%
ASCII
ValueCountFrequency (%)
P 18
23.7%
C 18
23.7%
p 14
18.4%
c 14
18.4%
8
10.5%
L 2
 
2.6%
H 1
 
1.3%
U 1
 
1.3%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)91.7%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean221076.14
Minimum211738.59
Maximum241734.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T22:24:19.322738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum211738.59
5-th percentile212355.76
Q1212448.11
median225703.14
Q3226102.55
95-th percentile233043.5
Maximum241734.96
Range29996.362
Interquartile range (IQR)13654.44

Descriptive statistics

Standard deviation8406.3452
Coefficient of variation (CV)0.03802466
Kurtosis-0.92820173
Mean221076.14
Median Absolute Deviation (MAD)7341.8208
Skewness0.30264742
Sum7958741.1
Variance70666640
MonotonicityNot monotonic
2023-12-12T22:24:19.463847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
212392.4079 2
 
5.3%
226117.6041 2
 
5.3%
212632.8635 2
 
5.3%
226018.4615 1
 
2.6%
225926.5533 1
 
2.6%
229101.8036 1
 
2.6%
226389.8869 1
 
2.6%
212461.1041 1
 
2.6%
212884.051 1
 
2.6%
233028.2355 1
 
2.6%
Other values (23) 23
60.5%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
211738.5936 1
2.6%
212332.0226 1
2.6%
212363.6712 1
2.6%
212383.207 1
2.6%
212392.4079 2
5.3%
212393.0301 1
2.6%
212422.3894 1
2.6%
212424.9685 1
2.6%
212455.8193 1
2.6%
212461.1041 1
2.6%
ValueCountFrequency (%)
241734.9556 1
2.6%
233047.9015 1
2.6%
233042.0262 1
2.6%
233028.2355 1
2.6%
229101.8036 1
2.6%
226389.8869 1
2.6%
226213.6317 1
2.6%
226117.6041 2
5.3%
226097.5277 1
2.6%
226070.6922 1
2.6%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)91.7%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean119060.35
Minimum107221.52
Maximum131356.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T22:24:19.616401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107221.52
5-th percentile111151.9
Q1114292.92
median118793.87
Q3123304.96
95-th percentile131194.1
Maximum131356.92
Range24135.406
Interquartile range (IQR)9012.0327

Descriptive statistics

Standard deviation6246.0149
Coefficient of variation (CV)0.052460916
Kurtosis-0.65134888
Mean119060.35
Median Absolute Deviation (MAD)4505.3819
Skewness0.19834151
Sum4286172.5
Variance39012702
MonotonicityNot monotonic
2023-12-12T22:24:19.768069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
114292.9232 2
 
5.3%
123263.675 2
 
5.3%
114286.3526 2
 
5.3%
123453.9505 1
 
2.6%
123307.2979 1
 
2.6%
112331.1189 1
 
2.6%
123297.1164 1
 
2.6%
114565.3561 1
 
2.6%
114244.5842 1
 
2.6%
131284.3565 1
 
2.6%
Other values (23) 23
60.5%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
107221.5193 1
2.6%
107614.2484 1
2.6%
112331.1189 1
2.6%
114167.9188 1
2.6%
114173.6591 1
2.6%
114244.5842 1
2.6%
114286.3526 2
5.3%
114292.9232 2
5.3%
114302.8389 1
2.6%
114365.4255 1
2.6%
ValueCountFrequency (%)
131356.9249 1
2.6%
131284.3565 1
2.6%
131164.0142 1
2.6%
123512.009 1
2.6%
123471.1327 1
2.6%
123453.9505 1
2.6%
123441.5001 1
2.6%
123366.0205 1
2.6%
123307.2979 1
2.6%
123304.1753 1
2.6%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
인터넷컴퓨터게임시설제공업
38 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 38
100.0%

Length

2023-12-12T22:24:19.916948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:20.035466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷컴퓨터게임시설제공업 38
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
유통관련업
38 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 38
100.0%

Length

2023-12-12T22:24:20.139488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:20.251637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 38
100.0%

총층수
Categorical

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
2
12 
1
8 
<NA>
8 
3
7 
4
2 

Length

Max length4
Median length1
Mean length1.6315789
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row2
2nd row3
3rd row4
4th row3
5th row3

Common Values

ValueCountFrequency (%)
2 12
31.6%
1 8
21.1%
<NA> 8
21.1%
3 7
18.4%
4 2
 
5.3%
6 1
 
2.6%

Length

2023-12-12T22:24:20.365733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:20.477000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 12
31.6%
1 8
21.1%
na 8
21.1%
3 7
18.4%
4 2
 
5.3%
6 1
 
2.6%

주변환경명
Categorical

Distinct7
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
기타
14 
<NA>
12 
유흥업소밀집지역
6 
주택가주변
2 
학교정화(상대)
2 
Other values (2)
2 

Length

Max length8
Median length7
Mean length4.2631579
Min length2

Unique

Unique2 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
기타 14
36.8%
<NA> 12
31.6%
유흥업소밀집지역 6
15.8%
주택가주변 2
 
5.3%
학교정화(상대) 2
 
5.3%
결혼예식장주변 1
 
2.6%
아파트지역 1
 
2.6%

Length

2023-12-12T22:24:20.616123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:20.758783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 14
36.8%
na 12
31.6%
유흥업소밀집지역 6
15.8%
주택가주변 2
 
5.3%
학교정화(상대 2
 
5.3%
결혼예식장주변 1
 
2.6%
아파트지역 1
 
2.6%

제작취급품목내용
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing27
Missing (%)71.1%
Memory size436.0 B
2023-12-12T22:24:20.934895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length9
Mean length8.1818182
Min length2

Characters and Unicode

Total characters90
Distinct characters39
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

Unique11 ?
Unique (%)100.0%

Sample

1st rowpc방
2nd row인터넷컴퓨터게임
3rd rowPC
4th row포털포커바둑이맞고
5th row인터넷컴퓨터 제공업
ValueCountFrequency (%)
pc 2
13.3%
pc방 1
 
6.7%
인터넷컴퓨터게임 1
 
6.7%
포털포커바둑이맞고 1
 
6.7%
인터넷컴퓨터 1
 
6.7%
제공업 1
 
6.7%
트레인게임(맞고,바둑이,홀덤 1
 
6.7%
44대 1
 
6.7%
인터넷게임물제공 1
 
6.7%
인터넷컴퓨터게임시설제공업 1
 
6.7%
Other values (4) 4
26.7%
2023-12-12T22:24:21.253692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 8
 
8.9%
인 6
 
6.7%
임 5
 
5.6%
넷 5
 
5.6%
게 5
 
5.6%
4
 
4.4%
공 3
 
3.3%
둑 3
 
3.3%
제 3
 
3.3%
바 3
 
3.3%
Other values (29) 45
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74
82.2%
Space Separator 4
 
4.4%
Uppercase Letter 4
 
4.4%
Other Punctuation 2
 
2.2%
Decimal Number 2
 
2.2%
Lowercase Letter 2
 
2.2%
Close Punctuation 1
 
1.1%
Open Punctuation 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 8
 
10.8%
인 6
 
8.1%
임 5
 
6.8%
넷 5
 
6.8%
게 5
 
6.8%
공 3
 
4.1%
둑 3
 
4.1%
제 3
 
4.1%
바 3
 
4.1%
퓨 3
 
4.1%
Other values (20) 30
40.5%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
P 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
p 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Decimal Number
ValueCountFrequency (%)
4 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74
82.2%
Common 10
 
11.1%
Latin 6
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 8
 
10.8%
인 6
 
8.1%
임 5
 
6.8%
넷 5
 
6.8%
게 5
 
6.8%
공 3
 
4.1%
둑 3
 
4.1%
제 3
 
4.1%
바 3
 
4.1%
퓨 3
 
4.1%
Other values (20) 30
40.5%
Common
ValueCountFrequency (%)
4
40.0%
, 2
20.0%
4 2
20.0%
) 1
 
10.0%
( 1
 
10.0%
Latin
ValueCountFrequency (%)
C 2
33.3%
P 2
33.3%
p 1
16.7%
c 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74
82.2%
ASCII 16
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 8
 
10.8%
인 6
 
8.1%
임 5
 
6.8%
넷 5
 
6.8%
게 5
 
6.8%
공 3
 
4.1%
둑 3
 
4.1%
제 3
 
4.1%
바 3
 
4.1%
퓨 3
 
4.1%
Other values (20) 30
40.5%
ASCII
ValueCountFrequency (%)
4
25.0%
, 2
12.5%
4 2
12.5%
C 2
12.5%
P 2
12.5%
) 1
 
6.2%
p 1
 
6.2%
( 1
 
6.2%
c 1
 
6.2%

시설면적
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)97.2%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean115.39694
Minimum22
Maximum397.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T22:24:21.398825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile34.675
Q153.13
median96.1
Q3146.3775
95-th percentile274.3425
Maximum397.56
Range375.56
Interquartile range (IQR)93.2475

Descriptive statistics

Standard deviation80.440328
Coefficient of variation (CV)0.69707503
Kurtosis3.3972847
Mean115.39694
Median Absolute Deviation (MAD)45.885
Skewness1.6347043
Sum4154.29
Variance6470.6464
MonotonicityNot monotonic
2023-12-12T22:24:21.844095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
50.1 2
 
5.3%
141.87 1
 
2.6%
126.0 1
 
2.6%
130.5 1
 
2.6%
196.0 1
 
2.6%
159.9 1
 
2.6%
120.0 1
 
2.6%
57.23 1
 
2.6%
105.0 1
 
2.6%
190.43 1
 
2.6%
Other values (25) 25
65.8%
(Missing) 2
 
5.3%
ValueCountFrequency (%)
22.0 1
2.6%
30.7 1
2.6%
36.0 1
2.6%
42.9 1
2.6%
43.0 1
2.6%
48.1 1
2.6%
49.0 1
2.6%
50.1 2
5.3%
54.14 1
2.6%
57.23 1
2.6%
ValueCountFrequency (%)
397.56 1
2.6%
287.07 1
2.6%
270.1 1
2.6%
196.0 1
2.6%
190.43 1
2.6%
181.8 1
2.6%
169.81 1
2.6%
161.42 1
2.6%
159.9 1
2.6%
141.87 1
2.6%

지상층수
Categorical

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
14 
1
9 
2
8 
3
4 
4
2 

Length

Max length4
Median length1
Mean length2.1052632
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row1
2nd row1
3rd row4
4th row3
5th row3

Common Values

ValueCountFrequency (%)
<NA> 14
36.8%
1 9
23.7%
2 8
21.1%
3 4
 
10.5%
4 2
 
5.3%
6 1
 
2.6%

Length

2023-12-12T22:24:22.010991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:22.173980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
36.8%
1 9
23.7%
2 8
21.1%
3 4
 
10.5%
4 2
 
5.3%
6 1
 
2.6%

건물용도명
Categorical

Distinct9
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
근린생활시설
18 
<NA>
11 
사무실
2 
유통시설
2 
판매시설
 
1
Other values (4)
4 

Length

Max length6
Median length5.5
Mean length4.9210526
Min length2

Unique

Unique5 ?
Unique (%)13.2%

Sample

1st row근린생활시설
2nd row근린생활시설
3rd row근린생활시설
4th row사무실
5th row근린생활시설

Common Values

ValueCountFrequency (%)
근린생활시설 18
47.4%
<NA> 11
28.9%
사무실 2
 
5.3%
유통시설 2
 
5.3%
판매시설 1
 
2.6%
기타 1
 
2.6%
환경위생시설 1
 
2.6%
문화시설 1
 
2.6%
다세대주택 1
 
2.6%

Length

2023-12-12T22:24:22.335001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:22.499700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 18
47.4%
na 11
28.9%
사무실 2
 
5.3%
유통시설 2
 
5.3%
판매시설 1
 
2.6%
기타 1
 
2.6%
환경위생시설 1
 
2.6%
문화시설 1
 
2.6%
다세대주택 1
 
2.6%

총게임기수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)66.7%
Missing20
Missing (%)52.6%
Infinite0
Infinite (%)0.0%
Mean19.611111
Minimum4
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T22:24:22.667507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.85
Q17
median9
Q321.75
95-th percentile54.65
Maximum81
Range77
Interquartile range (IQR)14.75

Descriptive statistics

Standard deviation22.213242
Coefficient of variation (CV)1.1326865
Kurtosis2.2004561
Mean19.611111
Median Absolute Deviation (MAD)3
Skewness1.7249704
Sum353
Variance493.4281
MonotonicityNot monotonic
2023-12-12T22:24:22.793311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
9 3
 
7.9%
7 3
 
7.9%
5 2
 
5.3%
50 2
 
5.3%
25 1
 
2.6%
81 1
 
2.6%
8 1
 
2.6%
6 1
 
2.6%
11 1
 
2.6%
48 1
 
2.6%
Other values (2) 2
 
5.3%
(Missing) 20
52.6%
ValueCountFrequency (%)
4 1
 
2.6%
5 2
5.3%
6 1
 
2.6%
7 3
7.9%
8 1
 
2.6%
9 3
7.9%
11 1
 
2.6%
12 1
 
2.6%
25 1
 
2.6%
48 1
 
2.6%
ValueCountFrequency (%)
81 1
 
2.6%
50 2
5.3%
48 1
 
2.6%
25 1
 
2.6%
12 1
 
2.6%
11 1
 
2.6%
9 3
7.9%
8 1
 
2.6%
7 3
7.9%
6 1
 
2.6%

제공게임물명
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
전체이용가
21 
<NA>
9 
청소년이용불가
8 

Length

Max length7
Median length5
Mean length5.1842105
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 21
55.3%
<NA> 9
23.7%
청소년이용불가 8
 
21.1%

Length

2023-12-12T22:24:22.914109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:23.015870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 21
55.3%
na 9
23.7%
청소년이용불가 8
 
21.1%

지역구분명
Categorical

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
일반상업지역
13 
상업지역
11 
<NA>
11 
관리지역
 
1
근린상업지역
 
1

Length

Max length6
Median length4
Mean length4.7631579
Min length4

Unique

Unique3 ?
Unique (%)7.9%

Sample

1st row상업지역
2nd row상업지역
3rd row상업지역
4th row상업지역
5th row일반상업지역

Common Values

ValueCountFrequency (%)
일반상업지역 13
34.2%
상업지역 11
28.9%
<NA> 11
28.9%
관리지역 1
 
2.6%
근린상업지역 1
 
2.6%
준주거지역 1
 
2.6%

Length

2023-12-12T22:24:23.135979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:24:23.248721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반상업지역 13
34.2%
상업지역 11
28.9%
na 11
28.9%
관리지역 1
 
2.6%
근린상업지역 1
 
2.6%
준주거지역 1
 
2.6%

Sample

번호개방서비스명개방서비스 아이디개방자치단체코드관리번호인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자소재지전체주소도로명전체주소도로명우편번호사업장명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수건물용도명총게임기수제공게임물명지역구분명
01인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220080000092008-12-033폐업3폐업2011-01-03전라남도 고흥군 고흥읍 남계리 878-5번지<NA><NA>아싸PC방225728.8188123000.617인터넷컴퓨터게임시설제공업유통관련업2기타<NA><NA>1근린생활시설<NA>전체이용가상업지역
12인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220080000102008-12-033폐업3폐업2016-05-24전라남도 고흥군 과역면 과역리 71-20번지전라남도 고흥군 과역면 고흥로 2973<NA>타임머신PC방233047.9015131164.0142인터넷컴퓨터게임시설제공업유통관련업3기타<NA>117.01근린생활시설<NA>전체이용가상업지역
23인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220080000022008-07-043폐업3폐업2012-03-23전라남도 고흥군 고흥읍 남계리<NA><NA>칸PC방<NA><NA>인터넷컴퓨터게임시설제공업유통관련업4유흥업소밀집지역<NA>190.434근린생활시설<NA><NA>상업지역
34인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220080000032008-07-113폐업3폐업2021-04-29전라남도 고흥군 도양읍 봉암리 2695-25<NA><NA>파워클릭pc방212567.3468114516.0815인터넷컴퓨터게임시설제공업유통관련업3유흥업소밀집지역<NA>181.83사무실<NA>전체이용가상업지역
45인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220080000052008-08-053폐업3폐업2012-03-26전라남도 고흥군 도양읍 봉암리 2070-15번지전라남도 고흥군 도양읍 비봉로 127<NA>나이스피시방212455.8193114587.1141인터넷컴퓨터게임시설제공업유통관련업3유흥업소밀집지역<NA>87.993근린생활시설<NA>전체이용가일반상업지역
56인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220080000072008-09-113폐업3폐업2018-04-24전라남도 고흥군 고흥읍 남계리 584번지<NA><NA>스타pc방226070.6922123441.5001인터넷컴퓨터게임시설제공업유통관련업6유흥업소밀집지역<NA>287.076근린생활시설<NA>전체이용가일반상업지역
67인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220080000082008-11-243폐업3폐업2009-12-04전라남도 고흥군 봉래면 신금리 12523번지<NA><NA>행복pc방241734.9556107614.2484인터넷컴퓨터게임시설제공업유통관련업1주택가주변<NA>93.01근린생활시설<NA>전체이용가관리지역
78인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220090000022009-02-113폐업3폐업2016-09-10전라남도 고흥군 고흥읍 남계리 925-8번지전라남도 고흥군 고흥읍 봉황길 45<NA>옥시젠피시방225927.2599123270.6038인터넷컴퓨터게임시설제공업유통관련업2기타<NA>161.422근린생활시설<NA><NA>상업지역
89인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220090000042009-06-243폐업3폐업2016-07-04전라남도 고흥군 도양읍 봉암리 2225-8번지<NA><NA>껨방pc방212332.0226114404.7233인터넷컴퓨터게임시설제공업유통관련업3기타<NA>84.783유통시설<NA>전체이용가상업지역
910인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220100000032010-06-103폐업3폐업2012-03-23전라남도 고흥군 고흥읍 서문리 216-5번지전라남도 고흥군 고흥읍 여산당촌길 43<NA>땡큐 PC방225473.0339123255.911인터넷컴퓨터게임시설제공업유통관련업2학교정화(상대)pc방48.1<NA>근린생활시설<NA>전체이용가일반상업지역
번호개방서비스명개방서비스 아이디개방자치단체코드관리번호인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자소재지전체주소도로명전체주소도로명우편번호사업장명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수건물용도명총게임기수제공게임물명지역구분명
2829인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220150000012015-07-101영업/정상13영업중<NA>전라남도 고흥군 고흥읍 남계리 594번지 사진관전라남도 고흥군 고흥읍 봉황길 20, 사진관59538HULL PC방226018.4615123453.9505인터넷컴퓨터게임시설제공업유통관련업2기타인터넷게임물제공141.872사무실50전체이용가일반상업지역
2930인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220150000022015-09-251영업/정상13영업중<NA>전라남도 고흥군 도양읍 봉암리 3397번지전라남도 고흥군 도양읍 녹동신항5길 159560아덴성 pc방212884.051114244.5842인터넷컴퓨터게임시설제공업유통관련업1<NA>인터넷컴퓨터게임시설제공업105.0<NA><NA>48전체이용가<NA>
3031인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220160000012016-03-141영업/정상13영업중<NA>전라남도 고흥군 도양읍 봉암리 2248-1번지전라남도 고흥군 도양읍 명동길 5-859558우주 pc방212363.6712114365.4255인터넷컴퓨터게임시설제공업유통관련업1<NA><NA>58.91<NA>12<NA><NA>
3132인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220170000022017-06-081영업/정상13영업중<NA>전라남도 고흥군 과역면 과역리 171-6번지전라남도 고흥군 과역면 고흥로 2994 (세탁소)59511바닐라 pc방233042.0262131356.9249인터넷컴퓨터게임시설제공업유통관련업2기타<NA>22.0<NA>근린생활시설5청소년이용불가준주거지역
3233인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220180000012018-03-231영업/정상13영업중<NA>전라남도 고흥군 도양읍 봉암리 3184번지전라남도 고흥군 도양읍 녹동2길 2459559황금PC212685.0814114167.9188인터넷컴퓨터게임시설제공업유통관련업<NA>기타<NA>50.11다세대주택7청소년이용불가일반상업지역
3334인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220210000022021-05-251영업/정상13영업중<NA>전라남도 고흥군 도양읍 봉암리 2242-7 휴게음식점전라남도 고흥군 도양읍 명동길 6-11, 휴게음식점59558운명PC212392.4079114292.9232인터넷컴퓨터게임시설제공업유통관련업<NA><NA>브라보 홀덤 바둑이270.1<NA><NA><NA>청소년이용불가<NA>
3435인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220080000062008-09-011영업/정상13영업중<NA>전라남도 고흥군 도양읍 봉암리 2231-9번지전라남도 고흥군 도양읍 비봉로 139<NA>메카pc방212424.9685114481.5201인터넷컴퓨터게임시설제공업유통관련업2유흥업소밀집지역<NA>132.62근린생활시설<NA><NA>상업지역
3536인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220210000012021-03-151영업/정상13영업중<NA>전라남도 고흥군 도양읍 봉암리 3101 일반음식점전라남도 고흥군 도양읍 녹동중앙길 25-1, 일반음식점59559엔젤PC방212632.8635114286.3526인터넷컴퓨터게임시설제공업유통관련업<NA><NA>인터넷게임169.81<NA><NA><NA>전체이용가<NA>
3637인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220190000012019-01-031영업/정상13영업중<NA>전라남도 고흥군 도양읍 봉암리 2242-7번지 휴게음식점전라남도 고흥군 도양읍 명동길 6-11, 휴게음식점59558토마토PC방212392.4079114292.9232인터넷컴퓨터게임시설제공업유통관련업3<NA><NA>50.13<NA>4전체이용가<NA>
3738인터넷컴퓨터게임시설제공업03_05_05_P4880000CDFF22410220080000042008-07-314취소/말소/만료/정지/중지35직권말소2010-02-10전라남도 고흥군 고흥읍 남계리 633-1번지<NA><NA>수퍼맨pc존226097.5277123291.3216인터넷컴퓨터게임시설제공업유통관련업2유흥업소밀집지역<NA>135.542근린생활시설<NA><NA>일반상업지역