Overview

Dataset statistics

Number of variables40
Number of observations55
Missing cells510
Missing cells (%)23.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.2 KiB
Average record size in memory339.4 B

Variable types

Numeric7
Categorical16
Text6
DateTime4
Unsupported1
Boolean6

Dataset

Description전라남도 고흥군 노래연습장업 현황에 대한 데이터로 영업상태명, 소재지전체주소, 자동환기여부, 청소년실여부, 방음시설여부 등을 제공합니다.
Author전라남도 고흥군
URLhttps://www.data.go.kr/data/15090239/fileData.do

Alerts

개방서비스명 has constant value ""Constant
개방서비스 아이디 has constant value ""Constant
개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
휴업종료일자 has constant value ""Constant
문화체육업종명 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
지상층수 is highly imbalanced (53.5%)Imbalance
지하층수 is highly imbalanced (77.5%)Imbalance
건물용도명 is highly imbalanced (59.8%)Imbalance
통로너비 is highly imbalanced (80.4%)Imbalance
조명시설조도 is highly imbalanced (80.4%)Imbalance
청소년실수 is highly imbalanced (58.3%)Imbalance
비상계단여부 is highly imbalanced (73.8%)Imbalance
비상구여부 is highly imbalanced (57.4%)Imbalance
자동환기여부 is highly imbalanced (65.2%)Imbalance
특수조명여부 is highly imbalanced (73.8%)Imbalance
방음시설여부 is highly imbalanced (57.4%)Imbalance
폐업일자 has 12 (21.8%) missing valuesMissing
휴업시작일자 has 54 (98.2%) missing valuesMissing
휴업종료일자 has 54 (98.2%) missing valuesMissing
소재지우편번호 has 27 (49.1%) missing valuesMissing
도로명전체주소 has 24 (43.6%) missing valuesMissing
도로명우편번호 has 44 (80.0%) missing valuesMissing
좌표정보(x) has 1 (1.8%) missing valuesMissing
좌표정보(y) has 1 (1.8%) missing valuesMissing
주변환경명 has 47 (85.5%) missing valuesMissing
제작취급품목내용 has 55 (100.0%) missing valuesMissing
시설면적 has 37 (67.3%) missing valuesMissing
노래방실수 has 34 (61.8%) missing valuesMissing
비상계단여부 has 10 (18.2%) missing valuesMissing
비상구여부 has 9 (16.4%) missing valuesMissing
자동환기여부 has 9 (16.4%) missing valuesMissing
청소년실여부 has 25 (45.5%) missing valuesMissing
특수조명여부 has 10 (18.2%) missing valuesMissing
방음시설여부 has 9 (16.4%) missing valuesMissing
지역구분명 has 48 (87.3%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 05:56:07.760731
Analysis finished2023-12-12 05:56:08.379417
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T14:56:08.461739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.7
Q114.5
median28
Q341.5
95-th percentile52.3
Maximum55
Range54
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.02082
Coefficient of variation (CV)0.57217214
Kurtosis-1.2
Mean28
Median Absolute Deviation (MAD)14
Skewness0
Sum1540
Variance256.66667
MonotonicityStrictly increasing
2023-12-12T14:56:08.623619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
2 1
 
1.8%
31 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%
46 1
1.8%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
노래연습장업
55 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 55
100.0%

Length

2023-12-12T14:56:08.741887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:08.845123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 55
100.0%

개방서비스 아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
03_09_01_P
55 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_09_01_P
2nd row03_09_01_P
3rd row03_09_01_P
4th row03_09_01_P
5th row03_09_01_P

Common Values

ValueCountFrequency (%)
03_09_01_P 55
100.0%

Length

2023-12-12T14:56:08.952517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:09.064085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_09_01_p 55
100.0%

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
4880000
55 

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 55
100.0%

Length

2023-12-12T14:56:09.173896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:09.275987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4880000 55
100.0%

관리번호
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T14:56:09.469423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1100
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

Unique55 ?
Unique (%)100.0%

Sample

1st rowCDFF3242052005000001
2nd rowCDFF3242051999000014
3rd rowCDFF3242052002000001
4th rowCDFF3242052002000006
5th rowCDFF3242052003000001
ValueCountFrequency (%)
cdff3242052005000001 1
 
1.8%
cdff3242052001000005 1
 
1.8%
cdff3242051999000016 1
 
1.8%
cdff3242051999000017 1
 
1.8%
cdff3242051999000018 1
 
1.8%
cdff3242051999000019 1
 
1.8%
cdff3242051999000020 1
 
1.8%
cdff3242051999000021 1
 
1.8%
cdff3242051999000022 1
 
1.8%
cdff3242051999000023 1
 
1.8%
Other values (45) 45
81.8%
2023-12-12T14:56:10.099281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 371
33.7%
2 160
14.5%
F 110
 
10.0%
9 80
 
7.3%
5 67
 
6.1%
3 64
 
5.8%
4 64
 
5.8%
1 59
 
5.4%
C 55
 
5.0%
D 55
 
5.0%
Other values (3) 15
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 880
80.0%
Uppercase Letter 220
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 371
42.2%
2 160
18.2%
9 80
 
9.1%
5 67
 
7.6%
3 64
 
7.3%
4 64
 
7.3%
1 59
 
6.7%
6 9
 
1.0%
7 3
 
0.3%
8 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 110
50.0%
C 55
25.0%
D 55
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 880
80.0%
Latin 220
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 371
42.2%
2 160
18.2%
9 80
 
9.1%
5 67
 
7.6%
3 64
 
7.3%
4 64
 
7.3%
1 59
 
6.7%
6 9
 
1.0%
7 3
 
0.3%
8 3
 
0.3%
Latin
ValueCountFrequency (%)
F 110
50.0%
C 55
25.0%
D 55
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 371
33.7%
2 160
14.5%
F 110
 
10.0%
9 80
 
7.3%
5 67
 
6.1%
3 64
 
5.8%
4 64
 
5.8%
1 59
 
5.4%
C 55
 
5.0%
D 55
 
5.0%
Other values (3) 15
 
1.4%
Distinct37
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum1999-06-03 00:00:00
Maximum2021-01-20 00:00:00
2023-12-12T14:56:10.260045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:56:10.454787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
3
38 
1
11 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
3 38
69.1%
1 11
 
20.0%
4 5
 
9.1%
2 1
 
1.8%

Length

2023-12-12T14:56:10.644289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:10.775830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 38
69.1%
1 11
 
20.0%
4 5
 
9.1%
2 1
 
1.8%

영업상태명
Categorical

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
폐업
38 
영업/정상
11 
취소/말소/만료/정지/중지
휴업
 
1

Length

Max length14
Median length2
Mean length3.6909091
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 38
69.1%
영업/정상 11
 
20.0%
취소/말소/만료/정지/중지 5
 
9.1%
휴업 1
 
1.8%

Length

2023-12-12T14:56:10.934001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:11.107042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 38
69.1%
영업/정상 11
 
20.0%
취소/말소/만료/정지/중지 5
 
9.1%
휴업 1
 
1.8%
Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
3
38 
13
11 
35
2
 
1

Length

Max length2
Median length1
Mean length1.2909091
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
3 38
69.1%
13 11
 
20.0%
35 5
 
9.1%
2 1
 
1.8%

Length

2023-12-12T14:56:11.263442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:11.407237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 38
69.1%
13 11
 
20.0%
35 5
 
9.1%
2 1
 
1.8%
Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
폐업
38 
영업중
11 
직권말소
휴업
 
1

Length

Max length4
Median length2
Mean length2.3818182
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 38
69.1%
영업중 11
 
20.0%
직권말소 5
 
9.1%
휴업 1
 
1.8%

Length

2023-12-12T14:56:11.548081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:11.681189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 38
69.1%
영업중 11
 
20.0%
직권말소 5
 
9.1%
휴업 1
 
1.8%

폐업일자
Date

MISSING 

Distinct38
Distinct (%)88.4%
Missing12
Missing (%)21.8%
Memory size572.0 B
Minimum2003-04-04 00:00:00
Maximum2021-06-02 00:00:00
2023-12-12T14:56:11.809182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:56:11.931594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing54
Missing (%)98.2%
Memory size572.0 B
Minimum2020-02-25 00:00:00
Maximum2020-02-25 00:00:00
2023-12-12T14:56:12.038221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:56:12.140182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing54
Missing (%)98.2%
Memory size572.0 B
Minimum2022-02-24 00:00:00
Maximum2022-02-24 00:00:00
2023-12-12T14:56:12.244009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:56:12.334000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

소재지우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)57.1%
Missing27
Missing (%)49.1%
Infinite0
Infinite (%)0.0%
Mean548868.11
Minimum548802
Maximum548943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T14:56:12.428086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum548802
5-th percentile548802
Q1548805
median548877.5
Q3548908.5
95-th percentile548940.55
Maximum548943
Range141
Interquartile range (IQR)103.5

Descriptive statistics

Standard deviation54.126285
Coefficient of variation (CV)9.8614375 × 10-5
Kurtosis-1.6978609
Mean548868.11
Median Absolute Deviation (MAD)56
Skewness-0.01255361
Sum15368307
Variance2929.6548
MonotonicityNot monotonic
2023-12-12T14:56:12.558941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
548802 3
 
5.5%
548905 3
 
5.5%
548936 3
 
5.5%
548805 3
 
5.5%
548804 2
 
3.6%
548892 2
 
3.6%
548943 2
 
3.6%
548831 2
 
3.6%
548907 1
 
1.8%
548903 1
 
1.8%
Other values (6) 6
 
10.9%
(Missing) 27
49.1%
ValueCountFrequency (%)
548802 3
5.5%
548804 2
3.6%
548805 3
5.5%
548812 1
 
1.8%
548831 2
3.6%
548843 1
 
1.8%
548851 1
 
1.8%
548863 1
 
1.8%
548892 2
3.6%
548903 1
 
1.8%
ValueCountFrequency (%)
548943 2
3.6%
548936 3
5.5%
548931 1
 
1.8%
548913 1
 
1.8%
548907 1
 
1.8%
548905 3
5.5%
548903 1
 
1.8%
548892 2
3.6%
548863 1
 
1.8%
548851 1
 
1.8%
Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T14:56:12.866660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length24.090909
Min length16

Characters and Unicode

Total characters1325
Distinct characters72
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

Unique53 ?
Unique (%)96.4%

Sample

1st row전라남도 고흥군 도화면 당오리 1065-22번지
2nd row전라남도 고흥군 금산면 오천리 190-9번지
3rd row전라남도 고흥군 도양읍 봉암리 2070-11번지
4th row전라남도 고흥군 고흥읍 서문리 218-34번지
5th row전라남도 고흥군 금산면 오천리 39-7번지
ValueCountFrequency (%)
전라남도 55
20.0%
고흥군 55
20.0%
도양읍 11
 
4.0%
봉암리 11
 
4.0%
고흥읍 10
 
3.6%
금산면 8
 
2.9%
도화면 6
 
2.2%
남계리 5
 
1.8%
오천리 5
 
1.8%
당오리 4
 
1.5%
Other values (82) 105
38.2%
2023-12-12T14:56:13.293883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
 
16.6%
74
 
5.6%
67
 
5.1%
65
 
4.9%
61
 
4.6%
55
 
4.2%
55
 
4.2%
55
 
4.2%
55
 
4.2%
51
 
3.8%
Other values (62) 567
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 822
62.0%
Decimal Number 238
 
18.0%
Space Separator 220
 
16.6%
Dash Punctuation 45
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
74
 
9.0%
67
 
8.2%
65
 
7.9%
61
 
7.4%
55
 
6.7%
55
 
6.7%
55
 
6.7%
55
 
6.7%
51
 
6.2%
51
 
6.2%
Other values (50) 233
28.3%
Decimal Number
ValueCountFrequency (%)
1 45
18.9%
2 42
17.6%
0 26
10.9%
8 23
9.7%
3 22
9.2%
9 20
8.4%
6 18
 
7.6%
7 15
 
6.3%
4 14
 
5.9%
5 13
 
5.5%
Space Separator
ValueCountFrequency (%)
220
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 822
62.0%
Common 503
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
74
 
9.0%
67
 
8.2%
65
 
7.9%
61
 
7.4%
55
 
6.7%
55
 
6.7%
55
 
6.7%
55
 
6.7%
51
 
6.2%
51
 
6.2%
Other values (50) 233
28.3%
Common
ValueCountFrequency (%)
220
43.7%
1 45
 
8.9%
- 45
 
8.9%
2 42
 
8.3%
0 26
 
5.2%
8 23
 
4.6%
3 22
 
4.4%
9 20
 
4.0%
6 18
 
3.6%
7 15
 
3.0%
Other values (2) 27
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 822
62.0%
ASCII 503
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
220
43.7%
1 45
 
8.9%
- 45
 
8.9%
2 42
 
8.3%
0 26
 
5.2%
8 23
 
4.6%
3 22
 
4.4%
9 20
 
4.0%
6 18
 
3.6%
7 15
 
3.0%
Other values (2) 27
 
5.4%
Hangul
ValueCountFrequency (%)
74
 
9.0%
67
 
8.2%
65
 
7.9%
61
 
7.4%
55
 
6.7%
55
 
6.7%
55
 
6.7%
55
 
6.7%
51
 
6.2%
51
 
6.2%
Other values (50) 233
28.3%

도로명전체주소
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing24
Missing (%)43.6%
Memory size572.0 B
2023-12-12T14:56:13.572612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length27
Mean length22.419355
Min length18

Characters and Unicode

Total characters695
Distinct characters86
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

Unique31 ?
Unique (%)100.0%

Sample

1st row전라남도 고흥군 도양읍 비봉로 119
2nd row전라남도 고흥군 금산면 거금일주로 1809-27
3rd row전라남도 고흥군 풍양면 고흥로 1167-1
4th row전라남도 고흥군 고흥읍 봉황길 9
5th row전라남도 고흥군 도양읍 녹동남촌1길 24-1
ValueCountFrequency (%)
전라남도 31
19.5%
고흥군 31
19.5%
고흥읍 7
 
4.4%
도양읍 6
 
3.8%
고흥로 5
 
3.1%
금산면 5
 
3.1%
도화면 3
 
1.9%
봉황길 3
 
1.9%
풍양면 2
 
1.3%
거금일주로 2
 
1.3%
Other values (60) 64
40.3%
2023-12-12T14:56:14.120312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
18.4%
43
 
6.2%
43
 
6.2%
42
 
6.0%
36
 
5.2%
31
 
4.5%
31
 
4.5%
31
 
4.5%
1 23
 
3.3%
20
 
2.9%
Other values (76) 267
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 449
64.6%
Space Separator 128
 
18.4%
Decimal Number 100
 
14.4%
Dash Punctuation 11
 
1.6%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
43
 
9.6%
43
 
9.6%
42
 
9.4%
36
 
8.0%
31
 
6.9%
31
 
6.9%
31
 
6.9%
20
 
4.5%
18
 
4.0%
13
 
2.9%
Other values (61) 141
31.4%
Decimal Number
ValueCountFrequency (%)
1 23
23.0%
2 17
17.0%
3 11
11.0%
4 10
10.0%
9 9
 
9.0%
7 8
 
8.0%
5 7
 
7.0%
6 6
 
6.0%
8 5
 
5.0%
0 4
 
4.0%
Space Separator
ValueCountFrequency (%)
128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 449
64.6%
Common 246
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
43
 
9.6%
43
 
9.6%
42
 
9.4%
36
 
8.0%
31
 
6.9%
31
 
6.9%
31
 
6.9%
20
 
4.5%
18
 
4.0%
13
 
2.9%
Other values (61) 141
31.4%
Common
ValueCountFrequency (%)
128
52.0%
1 23
 
9.3%
2 17
 
6.9%
3 11
 
4.5%
- 11
 
4.5%
4 10
 
4.1%
9 9
 
3.7%
7 8
 
3.3%
5 7
 
2.8%
6 6
 
2.4%
Other values (5) 16
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 449
64.6%
ASCII 246
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
52.0%
1 23
 
9.3%
2 17
 
6.9%
3 11
 
4.5%
- 11
 
4.5%
4 10
 
4.1%
9 9
 
3.7%
7 8
 
3.3%
5 7
 
2.8%
6 6
 
2.4%
Other values (5) 16
 
6.5%
Hangul
ValueCountFrequency (%)
43
 
9.6%
43
 
9.6%
42
 
9.4%
36
 
8.0%
31
 
6.9%
31
 
6.9%
31
 
6.9%
20
 
4.5%
18
 
4.0%
13
 
2.9%
Other values (61) 141
31.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)90.9%
Missing44
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean59540.455
Minimum59502
Maximum59566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T14:56:14.340562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59502
5-th percentile59512
Q159526
median59538
Q359560.5
95-th percentile59566
Maximum59566
Range64
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation21.421315
Coefficient of variation (CV)0.00035977748
Kurtosis-0.98292398
Mean59540.455
Median Absolute Deviation (MAD)16
Skewness-0.24255539
Sum654945
Variance458.87273
MonotonicityNot monotonic
2023-12-12T14:56:14.478914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
59566 2
 
3.6%
59549 1
 
1.8%
59528 1
 
1.8%
59538 1
 
1.8%
59564 1
 
1.8%
59557 1
 
1.8%
59522 1
 
1.8%
59502 1
 
1.8%
59529 1
 
1.8%
59524 1
 
1.8%
(Missing) 44
80.0%
ValueCountFrequency (%)
59502 1
1.8%
59522 1
1.8%
59524 1
1.8%
59528 1
1.8%
59529 1
1.8%
59538 1
1.8%
59549 1
1.8%
59557 1
1.8%
59564 1
1.8%
59566 2
3.6%
ValueCountFrequency (%)
59566 2
3.6%
59564 1
1.8%
59557 1
1.8%
59549 1
1.8%
59538 1
1.8%
59529 1
1.8%
59528 1
1.8%
59524 1
1.8%
59522 1
1.8%
59502 1
1.8%

사업장명
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T14:56:14.704369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length7
Mean length7.5818182
Min length5

Characters and Unicode

Total characters417
Distinct characters104
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row도화노래연습장
2nd row오천노래연습장
3rd row그랜드노래연습장
4th row도레미노래연습장
5th row해돋이노래연습장
ValueCountFrequency (%)
노래연습장 4
 
6.6%
도화노래연습장 1
 
1.6%
대서노래연습장 1
 
1.6%
처갓집노래연습장 1
 
1.6%
해동노래연습장 1
 
1.6%
25시노래연습장 1
 
1.6%
스타노래연습장 1
 
1.6%
별궁노래연습장 1
 
1.6%
대인노래연습장 1
 
1.6%
만남노래연습장 1
 
1.6%
Other values (48) 48
78.7%
2023-12-12T14:56:15.126776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
55
13.2%
55
13.2%
54
12.9%
54
12.9%
53
12.7%
6
 
1.4%
5
 
1.2%
4
 
1.0%
3
 
0.7%
3
 
0.7%
Other values (94) 125
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
96.9%
Space Separator 6
 
1.4%
Lowercase Letter 3
 
0.7%
Decimal Number 2
 
0.5%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
55
13.6%
55
13.6%
54
13.4%
54
13.4%
53
13.1%
5
 
1.2%
4
 
1.0%
3
 
0.7%
3
 
0.7%
3
 
0.7%
Other values (86) 115
28.5%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
i 1
33.3%
v 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
5 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
96.9%
Common 8
 
1.9%
Latin 5
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
55
13.6%
55
13.6%
54
13.4%
54
13.4%
53
13.1%
5
 
1.2%
4
 
1.0%
3
 
0.7%
3
 
0.7%
3
 
0.7%
Other values (86) 115
28.5%
Latin
ValueCountFrequency (%)
M 1
20.0%
p 1
20.0%
i 1
20.0%
v 1
20.0%
T 1
20.0%
Common
ValueCountFrequency (%)
6
75.0%
2 1
 
12.5%
5 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
96.9%
ASCII 13
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
55
13.6%
55
13.6%
54
13.4%
54
13.4%
53
13.1%
5
 
1.2%
4
 
1.0%
3
 
0.7%
3
 
0.7%
3
 
0.7%
Other values (86) 115
28.5%
ASCII
ValueCountFrequency (%)
6
46.2%
2 1
 
7.7%
5 1
 
7.7%
M 1
 
7.7%
p 1
 
7.7%
i 1
 
7.7%
v 1
 
7.7%
T 1
 
7.7%

좌표정보(x)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)98.1%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean224304.09
Minimum211283.61
Maximum242054.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T14:56:15.285470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum211283.61
5-th percentile212193.22
Q1216807.44
median225916.99
Q3230486.1
95-th percentile241691.38
Maximum242054.57
Range30770.958
Interquartile range (IQR)13678.664

Descriptive statistics

Standard deviation8901.0505
Coefficient of variation (CV)0.03968296
Kurtosis-0.76233261
Mean224304.09
Median Absolute Deviation (MAD)6713.307
Skewness0.11638102
Sum12112421
Variance79228699
MonotonicityNot monotonic
2023-12-12T14:56:15.430318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
229380.9578 2
 
3.6%
229113.6043 1
 
1.8%
233008.3377 1
 
1.8%
218926.1294 1
 
1.8%
231105.6083 1
 
1.8%
241688.9188 1
 
1.8%
233674.3048 1
 
1.8%
230385.7604 1
 
1.8%
234813.8119 1
 
1.8%
225682.0174 1
 
1.8%
Other values (43) 43
78.2%
ValueCountFrequency (%)
211283.6144 1
1.8%
211539.9917 1
1.8%
212179.7707 1
1.8%
212200.4637 1
1.8%
212310.9031 1
1.8%
212375.6437 1
1.8%
212383.207 1
1.8%
212439.1427 1
1.8%
212449.5486 1
1.8%
212486.5979 1
1.8%
ValueCountFrequency (%)
242054.5727 1
1.8%
241944.3555 1
1.8%
241695.941 1
1.8%
241688.9188 1
1.8%
234813.8119 1
1.8%
233674.3048 1
1.8%
233024.9159 1
1.8%
233023.2189 1
1.8%
233008.3377 1
1.8%
232603.6674 1
1.8%

좌표정보(y)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)98.1%
Missing1
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean118179.86
Minimum103727.58
Maximum142575.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T14:56:15.563556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum103727.58
5-th percentile104119.48
Q1110996.51
median114620.88
Q3123385.28
95-th percentile141385.37
Maximum142575.26
Range38847.676
Interquartile range (IQR)12388.77

Descriptive statistics

Standard deviation10466.619
Coefficient of variation (CV)0.088565168
Kurtosis0.17495587
Mean118179.86
Median Absolute Deviation (MAD)7789.8107
Skewness0.80346495
Sum6381712.6
Variance1.0955012 × 108
MonotonicityNot monotonic
2023-12-12T14:56:15.725595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112385.0186 2
 
3.6%
112366.2897 1
 
1.8%
122884.0571 1
 
1.8%
103727.5834 1
 
1.8%
119336.5144 1
 
1.8%
107365.582 1
 
1.8%
140214.7543 1
 
1.8%
142357.7531 1
 
1.8%
128404.5403 1
 
1.8%
123385.346 1
 
1.8%
Other values (43) 43
78.2%
ValueCountFrequency (%)
103727.5834 1
1.8%
104063.2038 1
1.8%
104090.8573 1
1.8%
104134.887 1
1.8%
105630.4769 1
1.8%
106274.8589 1
1.8%
106726.2935 1
1.8%
106935.841 1
1.8%
107360.0196 1
1.8%
107365.582 1
1.8%
ValueCountFrequency (%)
142575.2597 1
1.8%
142357.7531 1
1.8%
141413.0274 1
1.8%
141370.4753 1
1.8%
140214.7543 1
1.8%
131366.3973 1
1.8%
131192.9412 1
1.8%
128404.5403 1
1.8%
127425.7001 1
1.8%
123562.279 1
1.8%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
노래연습장업
55 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노래연습장업 55
100.0%

Length

2023-12-12T14:56:15.870548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:15.971614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노래연습장업 55
100.0%

문화사업자구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
유통관련업
55 

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 55
100.0%

Length

2023-12-12T14:56:16.079588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:16.185262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 55
100.0%

총층수
Categorical

Distinct5
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
42 
2
1
 
4
3
 
3
5
 
1

Length

Max length4
Median length4
Mean length3.2909091
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row2
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 42
76.4%
2 5
 
9.1%
1 4
 
7.3%
3 3
 
5.5%
5 1
 
1.8%

Length

2023-12-12T14:56:16.275489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:16.378928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
76.4%
2 5
 
9.1%
1 4
 
7.3%
3 3
 
5.5%
5 1
 
1.8%

주변환경명
Text

MISSING 

Distinct4
Distinct (%)50.0%
Missing47
Missing (%)85.5%
Memory size572.0 B
2023-12-12T14:56:16.514765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6.5
Mean length5.75
Min length2

Characters and Unicode

Total characters46
Distinct characters22
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

Unique1 ?
Unique (%)12.5%

Sample

1st row학교정화(상대)
2nd row주택가주변
3rd row유흥업소밀집지역
4th row유흥업소밀집지역
5th row기타
ValueCountFrequency (%)
유흥업소밀집지역 3
37.5%
주택가주변 2
25.0%
기타 2
25.0%
학교정화(상대 1
 
12.5%
2023-12-12T14:56:16.805804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
 
8.7%
3
 
6.5%
3
 
6.5%
3
 
6.5%
3
 
6.5%
3
 
6.5%
3
 
6.5%
3
 
6.5%
3
 
6.5%
2
 
4.3%
Other values (12) 16
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44
95.7%
Open Punctuation 1
 
2.2%
Close Punctuation 1
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
 
9.1%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
2
 
4.5%
Other values (10) 14
31.8%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44
95.7%
Common 2
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
 
9.1%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
2
 
4.5%
Other values (10) 14
31.8%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44
95.7%
ASCII 2
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4
 
9.1%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
3
 
6.8%
2
 
4.5%
Other values (10) 14
31.8%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

시설면적
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing37
Missing (%)67.3%
Infinite0
Infinite (%)0.0%
Mean114.44556
Minimum29.6
Maximum251.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T14:56:16.959237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29.6
5-th percentile38.304
Q160.48
median97.5
Q3150.8275
95-th percentile229.559
Maximum251.2
Range221.6
Interquartile range (IQR)90.3475

Descriptive statistics

Standard deviation64.827612
Coefficient of variation (CV)0.56644937
Kurtosis-0.33637007
Mean114.44556
Median Absolute Deviation (MAD)49.4
Skewness0.66258876
Sum2060.02
Variance4202.6193
MonotonicityNot monotonic
2023-12-12T14:56:17.079688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
56.0 1
 
1.8%
39.84 1
 
1.8%
44.6 1
 
1.8%
125.6 1
 
1.8%
98.8 1
 
1.8%
147.7 1
 
1.8%
29.6 1
 
1.8%
96.2 1
 
1.8%
94.3 1
 
1.8%
225.74 1
 
1.8%
Other values (8) 8
 
14.5%
(Missing) 37
67.3%
ValueCountFrequency (%)
29.6 1
1.8%
39.84 1
1.8%
44.6 1
1.8%
48.9 1
1.8%
56.0 1
1.8%
73.92 1
1.8%
94.3 1
1.8%
94.83 1
1.8%
96.2 1
1.8%
98.8 1
1.8%
ValueCountFrequency (%)
251.2 1
1.8%
225.74 1
1.8%
185.2 1
1.8%
180.42 1
1.8%
151.87 1
1.8%
147.7 1
1.8%
125.6 1
1.8%
115.3 1
1.8%
98.8 1
1.8%
96.2 1
1.8%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
44 
2
1
 
3
3
 
2
5
 
1

Length

Max length4
Median length4
Mean length3.4
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row2
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
80.0%
2 5
 
9.1%
1 3
 
5.5%
3 2
 
3.6%
5 1
 
1.8%

Length

2023-12-12T14:56:17.221594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:17.351672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
80.0%
2 5
 
9.1%
1 3
 
5.5%
3 2
 
3.6%
5 1
 
1.8%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
53 
1
 
2

Length

Max length4
Median length4
Mean length3.8909091
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
96.4%
1 2
 
3.6%

Length

2023-12-12T14:56:17.470633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:17.579213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
96.4%
1 2
 
3.6%

건물용도명
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
46 
근린생활시설
유통시설
 
1
숙박시설
 
1

Length

Max length6
Median length4
Mean length4.2545455
Min length4

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
83.6%
근린생활시설 7
 
12.7%
유통시설 1
 
1.8%
숙박시설 1
 
1.8%

Length

2023-12-12T14:56:17.691622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:17.820225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
83.6%
근린생활시설 7
 
12.7%
유통시설 1
 
1.8%
숙박시설 1
 
1.8%

통로너비
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
52 
1.4
 
1
1.5
 
1
1.0
 
1

Length

Max length4
Median length4
Mean length3.9454545
Min length3

Unique

Unique3 ?
Unique (%)5.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
94.5%
1.4 1
 
1.8%
1.5 1
 
1.8%
1.0 1
 
1.8%

Length

2023-12-12T14:56:17.959501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:18.070034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
94.5%
1.4 1
 
1.8%
1.5 1
 
1.8%
1.0 1
 
1.8%

조명시설조도
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
52 
30
 
1
190
 
1
40
 
1

Length

Max length4
Median length4
Mean length3.9090909
Min length2

Unique

Unique3 ?
Unique (%)5.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
94.5%
30 1
 
1.8%
190 1
 
1.8%
40 1
 
1.8%

Length

2023-12-12T14:56:18.204876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:18.326871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
94.5%
30 1
 
1.8%
190 1
 
1.8%
40 1
 
1.8%

노래방실수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)42.9%
Missing34
Missing (%)61.8%
Infinite0
Infinite (%)0.0%
Mean4.5238095
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T14:56:18.441847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile9
Maximum12
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8393494
Coefficient of variation (CV)0.62764565
Kurtosis0.94609017
Mean4.5238095
Median Absolute Deviation (MAD)2
Skewness1.0154451
Sum95
Variance8.0619048
MonotonicityNot monotonic
2023-12-12T14:56:18.558800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 5
 
9.1%
4 5
 
9.1%
1 3
 
5.5%
7 2
 
3.6%
6 2
 
3.6%
12 1
 
1.8%
8 1
 
1.8%
2 1
 
1.8%
9 1
 
1.8%
(Missing) 34
61.8%
ValueCountFrequency (%)
1 3
5.5%
2 1
 
1.8%
3 5
9.1%
4 5
9.1%
6 2
 
3.6%
7 2
 
3.6%
8 1
 
1.8%
9 1
 
1.8%
12 1
 
1.8%
ValueCountFrequency (%)
12 1
 
1.8%
9 1
 
1.8%
8 1
 
1.8%
7 2
 
3.6%
6 2
 
3.6%
4 5
9.1%
3 5
9.1%
2 1
 
1.8%
1 3
5.5%

청소년실수
Categorical

IMBALANCE 

Distinct6
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
45 
3
 
3
2
 
3
0
 
2
1
 
1

Length

Max length4
Median length4
Mean length3.4545455
Min length1

Unique

Unique2 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
81.8%
3 3
 
5.5%
2 3
 
5.5%
0 2
 
3.6%
1 1
 
1.8%
8 1
 
1.8%

Length

2023-12-12T14:56:18.720570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:56:18.866714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
81.8%
3 3
 
5.5%
2 3
 
5.5%
0 2
 
3.6%
1 1
 
1.8%
8 1
 
1.8%

비상계단여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)4.4%
Missing10
Missing (%)18.2%
Memory size242.0 B
False
43 
True
 
2
(Missing)
10 
ValueCountFrequency (%)
False 43
78.2%
True 2
 
3.6%
(Missing) 10
 
18.2%
2023-12-12T14:56:18.984188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비상구여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)4.3%
Missing9
Missing (%)16.4%
Memory size242.0 B
False
42 
True
 
4
(Missing)
ValueCountFrequency (%)
False 42
76.4%
True 4
 
7.3%
(Missing) 9
 
16.4%
2023-12-12T14:56:19.071229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

자동환기여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)4.3%
Missing9
Missing (%)16.4%
Memory size242.0 B
False
43 
True
 
3
(Missing)
ValueCountFrequency (%)
False 43
78.2%
True 3
 
5.5%
(Missing) 9
 
16.4%
2023-12-12T14:56:19.440245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

청소년실여부
Boolean

MISSING 

Distinct2
Distinct (%)6.7%
Missing25
Missing (%)45.5%
Memory size242.0 B
False
21 
True
(Missing)
25 
ValueCountFrequency (%)
False 21
38.2%
True 9
 
16.4%
(Missing) 25
45.5%
2023-12-12T14:56:19.514838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특수조명여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)4.4%
Missing10
Missing (%)18.2%
Memory size242.0 B
False
43 
True
 
2
(Missing)
10 
ValueCountFrequency (%)
False 43
78.2%
True 2
 
3.6%
(Missing) 10
 
18.2%
2023-12-12T14:56:19.643243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

방음시설여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)4.3%
Missing9
Missing (%)16.4%
Memory size242.0 B
False
42 
True
 
4
(Missing)
ValueCountFrequency (%)
False 42
76.4%
True 4
 
7.3%
(Missing) 9
 
16.4%
2023-12-12T14:56:19.764919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지역구분명
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing48
Missing (%)87.3%
Memory size572.0 B
2023-12-12T14:56:19.895489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.4285714
Min length4

Characters and Unicode

Total characters38
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)28.6%

Sample

1st row일반상업지역
2nd row관리지역
3rd row일반상업지역
4th row근린상업지역
5th row일반상업지역
ValueCountFrequency (%)
일반상업지역 3
42.9%
관리지역 2
28.6%
근린상업지역 1
 
14.3%
일반주거지역 1
 
14.3%
2023-12-12T14:56:20.219283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
18.4%
7
18.4%
4
10.5%
4
10.5%
4
10.5%
4
10.5%
2
 
5.3%
2
 
5.3%
1
 
2.6%
1
 
2.6%
Other values (2) 2
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
18.4%
7
18.4%
4
10.5%
4
10.5%
4
10.5%
4
10.5%
2
 
5.3%
2
 
5.3%
1
 
2.6%
1
 
2.6%
Other values (2) 2
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
18.4%
7
18.4%
4
10.5%
4
10.5%
4
10.5%
4
10.5%
2
 
5.3%
2
 
5.3%
1
 
2.6%
1
 
2.6%
Other values (2) 2
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7
18.4%
7
18.4%
4
10.5%
4
10.5%
4
10.5%
4
10.5%
2
 
5.3%
2
 
5.3%
1
 
2.6%
1
 
2.6%
Other values (2) 2
 
5.3%

Sample

번호개방서비스명개방서비스 아이디개방자치단체코드관리번호인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부지역구분명
01노래연습장업03_09_01_P4880000CDFF32420520050000012005-07-142휴업2휴업<NA>2020-02-252022-02-24<NA>전라남도 고흥군 도화면 당오리 1065-22번지<NA><NA>도화노래연습장229113.6043112366.2897노래연습장업유통관련업2학교정화(상대)<NA>94.32<NA>근린생활시설<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA>
12노래연습장업03_09_01_P4880000CDFF32420519990000141999-06-283폐업3폐업2010-02-03<NA><NA>548936전라남도 고흥군 금산면 오천리 190-9번지<NA><NA>오천노래연습장219177.0534104134.887노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNNNNN<NA>
23노래연습장업03_09_01_P4880000CDFF32420520020000012002-01-093폐업3폐업2006-06-15<NA><NA>548905전라남도 고흥군 도양읍 봉암리 2070-11번지전라남도 고흥군 도양읍 비봉로 119<NA>그랜드노래연습장212439.1427114666.8555노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNNNNN<NA>
34노래연습장업03_09_01_P4880000CDFF32420520020000062002-10-023폐업3폐업2017-08-02<NA><NA>548805전라남도 고흥군 고흥읍 서문리 218-34번지<NA><NA>도레미노래연습장225719.966123385.0987노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNNNNN<NA>
45노래연습장업03_09_01_P4880000CDFF32420520030000012003-02-253폐업3폐업2007-05-28<NA><NA>548936전라남도 고흥군 금산면 오천리 39-7번지전라남도 고흥군 금산면 거금일주로 1809-27<NA>해돋이노래연습장219658.7333105630.4769노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA>NYNNNY<NA>
56노래연습장업03_09_01_P4880000CDFF32420520040000012004-07-073폐업3폐업2004-05-15<NA><NA>548892전라남도 고흥군 도화면 당오리 608번지<NA><NA>퀸 라이브하우스 노래연습장229380.9578112385.0186노래연습장업유통관련업1주택가주변<NA>225.74<NA><NA><NA><NA><NA><NA><NA>NNNNNN<NA>
67노래연습장업03_09_01_P4880000CDFF32420520040000032004-07-073폐업3폐업2021-06-02<NA><NA><NA>전라남도 고흥군 풍양면 야막리전라남도 고흥군 풍양면 고흥로 1167-159549노래하는곳에 노래연습장222039.4126119761.5197노래연습장업유통관련업1<NA><NA>73.921<NA>근린생활시설<NA><NA>3<NA>NNN<NA>NN<NA>
78노래연습장업03_09_01_P4880000CDFF32420519990000041999-11-123폐업3폐업2005-09-08<NA><NA>548804전라남도 고흥군 고흥읍 옥하리 209-4번지전라남도 고흥군 고흥읍 봉황길 9<NA>고흥노래연습장226034.4705123562.279노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA>123NNNYNN<NA>
89노래연습장업03_09_01_P4880000CDFF32420519990000071999-06-283폐업3폐업2008-12-30<NA><NA><NA>전라남도 고흥군 도양읍 봉암리 2699-70번지전라남도 고흥군 도양읍 녹동남촌1길 24-1<NA>요요노래연습장212625.7812114425.1906노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA>NN<NA>
910노래연습장업03_09_01_P4880000CDFF32420519990000081999-08-173폐업3폐업2013-07-18<NA><NA><NA>전라남도 고흥군 도양읍 봉암리 2699-176번지전라남도 고흥군 도양읍 녹동남촌3길 3-22<NA>동경노래연습장212661.7696114451.4979노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA>72NNNYNN<NA>
번호개방서비스명개방서비스 아이디개방자치단체코드관리번호인허가일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명좌표정보(x)좌표정보(y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부지역구분명
4546노래연습장업03_09_01_P4880000CDFF32420520050000032005-10-041영업/정상13영업중<NA><NA><NA>548943전라남도 고흥군 봉래면 신금리 878-218번지<NA><NA>질러노래연습장241944.3555107484.0988노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4647노래연습장업03_09_01_P4880000CDFF32420520080000012008-07-251영업/정상13영업중<NA><NA><NA><NA>전라남도 고흥군 금산면 오천리 154-10번지전라남도 고흥군 금산면 오천길 7259566서오천노래연습장219075.8076104063.2038노래연습장업유통관련업2주택가주변<NA>98.82<NA>근린생활시설<NA><NA>4<NA><NA><NA><NA><NA><NA><NA>관리지역
4748노래연습장업03_09_01_P4880000CDFF32420519990000101999-07-201영업/정상13영업중<NA><NA><NA><NA>전라남도 고흥군 도양읍 봉암리 2070-22번지전라남도 고흥군 도양읍 남촌길 31<NA>일조노래연습장212449.5486114617.6187노래연습장업유통관련업3<NA><NA>125.63<NA><NA><NA><NA>6<NA>NNNYNN<NA>
4849노래연습장업03_09_01_P4880000CDFF32420520010000032001-03-301영업/정상13영업중<NA><NA><NA><NA>전라남도 고흥군 봉래면 신금리 1000-6<NA><NA>라일락노래연습장241695.941107483.8137노래연습장업유통관련업<NA><NA><NA>44.61<NA><NA><NA><NA>3<NA>NNN<NA>NN<NA>
4950노래연습장업03_09_01_P4880000CDFF32420520210000012021-01-201영업/정상13영업중<NA><NA><NA><NA>전라남도 고흥군 도화면 당오리 533-29전라남도 고흥군 도화면 중심길 4259529도화 자유 노래연습장229325.967112567.092노래연습장업유통관련업<NA><NA><NA>39.842<NA><NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA>
5051노래연습장업03_09_01_P4880000CDFF32420520020000042002-01-184취소/말소/만료/정지/중지35직권말소2009-11-24<NA><NA><NA>전라남도 고흥군 점암면 연봉리 6번지<NA><NA>유성노래연습장<NA><NA>노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA>NN<NA>
5152노래연습장업03_09_01_P4880000CDFF32420519990000061999-07-054취소/말소/만료/정지/중지35직권말소2009-11-24<NA><NA><NA>전라남도 고흥군 고흥읍 남계리 630-3번지전라남도 고흥군 고흥읍 봉황길 36<NA>이티노래연습장225996.7238123341.7151노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA>92NNNYNN<NA>
5253노래연습장업03_09_01_P4880000CDFF32420519990000121999-06-284취소/말소/만료/정지/중지35직권말소2009-11-24<NA><NA><NA>전라남도 고흥군 도양읍 봉암리 2240-3번지<NA><NA>추억의노래연습장212486.5979114345.4267노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA>NN<NA>
5354노래연습장업03_09_01_P4880000CDFF32420519990000011999-06-034취소/말소/만료/정지/중지35직권말소2020-02-25<NA><NA><NA>전라남도 고흥군 포두면 길두리 1312번지전라남도 고흥군 포두면 우주로 58959524초원노래연습장230633.075120397.1346노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA>4<NA>NNN<NA>NN<NA>
5455노래연습장업03_09_01_P4880000CDFF32420519990000021999-06-044취소/말소/만료/정지/중지35직권말소2009-11-24<NA><NA><NA>전라남도 고흥군 두원면 학곡리 1-4번지<NA><NA>두원노래연습장225113.4695127425.7001노래연습장업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NNN<NA>NN<NA>