Overview

Dataset statistics

Number of variables25
Number of observations10000
Missing cells179267
Missing cells (%)71.7%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory2.1 MiB
Average record size in memory218.0 B

Variable types

Text3
Categorical7
DateTime1
Numeric8
Boolean6

Dataset

Description경상남도 김해시 노래연습장 업소 현황에 대한 데이터로 사업장명,전화번호,지번주소,도로명주소 등의 항목을 제공합니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15033393

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
상세영업상태명 is highly imbalanced (97.6%)Imbalance
전화번호 is highly imbalanced (98.6%)Imbalance
주변환경명 is highly imbalanced (99.0%)Imbalance
지하층수 is highly imbalanced (99.4%)Imbalance
건물용도명 is highly imbalanced (98.6%)Imbalance
조명시설조도 is highly imbalanced (99.0%)Imbalance
지역구분명 is highly imbalanced (99.2%)Imbalance
사업장명 has 9947 (99.5%) missing valuesMissing
폐업일자 has 9970 (99.7%) missing valuesMissing
지번주소 has 9947 (99.5%) missing valuesMissing
도로명주소 has 9952 (99.5%) missing valuesMissing
총층수 has 9982 (99.8%) missing valuesMissing
시설면적 has 9962 (99.6%) missing valuesMissing
지상층수 has 9981 (99.8%) missing valuesMissing
통로너비 has 9983 (99.8%) missing valuesMissing
노래방실수 has 9960 (99.6%) missing valuesMissing
청소년실수 has 9969 (99.7%) missing valuesMissing
비상계단여부 has 9951 (99.5%) missing valuesMissing
비상구여부 has 9950 (99.5%) missing valuesMissing
자동환기여부 has 9951 (99.5%) missing valuesMissing
청소년실여부 has 9965 (99.7%) missing valuesMissing
특수조명여부 has 9953 (99.5%) missing valuesMissing
방음시설여부 has 9950 (99.5%) missing valuesMissing
위도 has 9947 (99.5%) missing valuesMissing
경도 has 9947 (99.5%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:32:39.596980
Analysis finished2023-12-10 23:32:40.131068
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

MISSING 

Distinct52
Distinct (%)98.1%
Missing9947
Missing (%)99.5%
Memory size156.2 KiB
2023-12-11T08:32:40.308854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.6037736
Min length6

Characters and Unicode

Total characters403
Distinct characters103
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)96.2%

Sample

1st row룰라노래연습장
2nd row힐링노래연습장
3rd row킹노래연습장
4th row연예인노래연습장
5th row케니로저스노래연습장
ValueCountFrequency (%)
한마음노래연습장 2
 
3.8%
비발디노래연습장 1
 
1.9%
스카이노래연습장 1
 
1.9%
라이브노래연습장 1
 
1.9%
모리츠노래연습장 1
 
1.9%
산노래연습장 1
 
1.9%
우리동네노래연습장 1
 
1.9%
나그랑노래연습장 1
 
1.9%
만남노래연습장 1
 
1.9%
아원노래연습장 1
 
1.9%
Other values (42) 42
79.2%
2023-12-11T08:32:40.734646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
연 54
13.4%
노 53
13.2%
래 53
13.2%
습 53
13.2%
장 53
13.2%
마 4
 
1.0%
오 4
 
1.0%
한 3
 
0.7%
스 3
 
0.7%
리 3
 
0.7%
Other values (93) 120
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 399
99.0%
Uppercase Letter 2
 
0.5%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 54
13.5%
노 53
13.3%
래 53
13.3%
습 53
13.3%
장 53
13.3%
마 4
 
1.0%
오 4
 
1.0%
한 3
 
0.8%
스 3
 
0.8%
리 3
 
0.8%
Other values (89) 116
29.1%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
O 1
50.0%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
2 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 399
99.0%
Latin 2
 
0.5%
Common 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 54
13.5%
노 53
13.3%
래 53
13.3%
습 53
13.3%
장 53
13.3%
마 4
 
1.0%
오 4
 
1.0%
한 3
 
0.8%
스 3
 
0.8%
리 3
 
0.8%
Other values (89) 116
29.1%
Latin
ValueCountFrequency (%)
K 1
50.0%
O 1
50.0%
Common
ValueCountFrequency (%)
5 1
50.0%
2 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 399
99.0%
ASCII 4
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
연 54
13.5%
노 53
13.3%
래 53
13.3%
습 53
13.3%
장 53
13.3%
마 4
 
1.0%
오 4
 
1.0%
한 3
 
0.8%
스 3
 
0.8%
리 3
 
0.8%
Other values (89) 116
29.1%
ASCII
ValueCountFrequency (%)
K 1
25.0%
O 1
25.0%
5 1
25.0%
2 1
25.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9947 
폐업
 
26
영업중
 
22
직권말소
 
4
등록취소
 
1

Length

Max length4
Median length4
Mean length3.9926
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9947
99.5%
폐업 26
 
0.3%
영업중 22
 
0.2%
직권말소 4
 
< 0.1%
등록취소 1
 
< 0.1%

Length

2023-12-11T08:32:40.887988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:32:40.996192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9947
99.5%
폐업 26
 
0.3%
영업중 22
 
0.2%
직권말소 4
 
< 0.1%
등록취소 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct29
Distinct (%)96.7%
Missing9970
Missing (%)99.7%
Memory size156.2 KiB
Minimum2003-05-12 00:00:00
Maximum2021-05-03 00:00:00
2023-12-11T08:32:41.084693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:32:41.192200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

전화번호
Categorical

IMBALANCE 

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
9947 
<NA>
 
13
055-336-2508
 
1
055-335-1789
 
1
055-324-2888
 
1
Other values (37)
 
37

Length

Max length12
Median length1
Mean length1.0479
Min length1

Unique

Unique40 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
9947
99.5%
<NA> 13
 
0.1%
055-336-2508 1
 
< 0.1%
055-335-1789 1
 
< 0.1%
055-324-2888 1
 
< 0.1%
055-324-3264 1
 
< 0.1%
055-311-2224 1
 
< 0.1%
055-336-2555 1
 
< 0.1%
055-338-6663 1
 
< 0.1%
055-332-4114 1
 
< 0.1%
Other values (32) 32
 
0.3%

Length

2023-12-11T08:32:41.311651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 13
24.5%
055-333-8830 1
 
1.9%
055-331-5010 1
 
1.9%
055-325-0525 1
 
1.9%
055-325-2568 1
 
1.9%
055-321-1443 1
 
1.9%
055-902-9173 1
 
1.9%
055-342-5563 1
 
1.9%
055-324-9697 1
 
1.9%
055-335-3551 1
 
1.9%
Other values (31) 31
58.5%

지번주소
Text

MISSING 

Distinct53
Distinct (%)100.0%
Missing9947
Missing (%)99.5%
Memory size156.2 KiB
2023-12-11T08:32:41.570555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length23.716981
Min length16

Characters and Unicode

Total characters1257
Distinct characters88
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 (%)100.0%

Sample

1st row경상남도 김해시 외동 1252-2번지
2nd row경상남도 김해시 율하동 1329-1번지 모아빌딩501호
3rd row경상남도 김해시 어방동 685
4th row경상남도 김해시 삼계동 1478-2 리치프라자 203호
5th row경상남도 김해시 어방동 528-3번지
ValueCountFrequency (%)
경상남도 53
21.3%
김해시 53
21.3%
진영읍 9
 
3.6%
어방동 8
 
3.2%
외동 8
 
3.2%
삼방동 5
 
2.0%
서상동 3
 
1.2%
부곡동 3
 
1.2%
구산동 3
 
1.2%
내동 3
 
1.2%
Other values (91) 101
40.6%
2023-12-11T08:32:41.987551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
 
15.6%
1 66
 
5.3%
상 57
 
4.5%
도 54
 
4.3%
경 53
 
4.2%
남 53
 
4.2%
김 53
 
4.2%
해 53
 
4.2%
시 53
 
4.2%
- 49
 
3.9%
Other values (78) 570
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 728
57.9%
Decimal Number 284
 
22.6%
Space Separator 196
 
15.6%
Dash Punctuation 49
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 57
 
7.8%
도 54
 
7.4%
경 53
 
7.3%
남 53
 
7.3%
김 53
 
7.3%
해 53
 
7.3%
시 53
 
7.3%
지 46
 
6.3%
번 43
 
5.9%
동 41
 
5.6%
Other values (66) 222
30.5%
Decimal Number
ValueCountFrequency (%)
1 66
23.2%
2 39
13.7%
4 32
11.3%
3 31
10.9%
0 26
 
9.2%
6 23
 
8.1%
5 22
 
7.7%
8 17
 
6.0%
9 16
 
5.6%
7 12
 
4.2%
Space Separator
ValueCountFrequency (%)
196
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 728
57.9%
Common 529
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 57
 
7.8%
도 54
 
7.4%
경 53
 
7.3%
남 53
 
7.3%
김 53
 
7.3%
해 53
 
7.3%
시 53
 
7.3%
지 46
 
6.3%
번 43
 
5.9%
동 41
 
5.6%
Other values (66) 222
30.5%
Common
ValueCountFrequency (%)
196
37.1%
1 66
 
12.5%
- 49
 
9.3%
2 39
 
7.4%
4 32
 
6.0%
3 31
 
5.9%
0 26
 
4.9%
6 23
 
4.3%
5 22
 
4.2%
8 17
 
3.2%
Other values (2) 28
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 728
57.9%
ASCII 529
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
37.1%
1 66
 
12.5%
- 49
 
9.3%
2 39
 
7.4%
4 32
 
6.0%
3 31
 
5.9%
0 26
 
4.9%
6 23
 
4.3%
5 22
 
4.2%
8 17
 
3.2%
Other values (2) 28
 
5.3%
Hangul
ValueCountFrequency (%)
상 57
 
7.8%
도 54
 
7.4%
경 53
 
7.3%
남 53
 
7.3%
김 53
 
7.3%
해 53
 
7.3%
시 53
 
7.3%
지 46
 
6.3%
번 43
 
5.9%
동 41
 
5.6%
Other values (66) 222
30.5%

도로명주소
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing9952
Missing (%)99.5%
Memory size156.2 KiB
2023-12-11T08:32:42.271897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length27.395833
Min length19

Characters and Unicode

Total characters1315
Distinct characters103
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

Unique48 ?
Unique (%)100.0%

Sample

1st row경상남도 김해시 함박로101번길 22 (외동)
2nd row경상남도 김해시 율하1로 101, 모아빌딩501호 (율하동)
3rd row경상남도 김해시 활천로 191-1, 3층 (어방동)
4th row경상남도 김해시 해반천로144번길 29-16, 203호 (삼계동,리치프라자)
5th row경상남도 김해시 인제로 182 (어방동)
ValueCountFrequency (%)
경상남도 48
 
18.5%
김해시 48
 
18.5%
어방동 7
 
2.7%
외동 7
 
2.7%
진영읍 7
 
2.7%
내외중앙로 4
 
1.5%
인제로 4
 
1.5%
삼안로 3
 
1.2%
진영로 3
 
1.2%
부곡동 3
 
1.2%
Other values (109) 125
48.3%
2023-12-11T08:32:42.678280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
 
16.4%
1 57
 
4.3%
상 52
 
4.0%
해 50
 
3.8%
도 49
 
3.7%
김 49
 
3.7%
경 48
 
3.7%
로 48
 
3.7%
남 48
 
3.7%
시 48
 
3.7%
Other values (93) 650
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 761
57.9%
Decimal Number 220
 
16.7%
Space Separator 216
 
16.4%
Open Punctuation 40
 
3.0%
Close Punctuation 40
 
3.0%
Other Punctuation 25
 
1.9%
Dash Punctuation 13
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 52
 
6.8%
해 50
 
6.6%
도 49
 
6.4%
김 49
 
6.4%
경 48
 
6.3%
로 48
 
6.3%
남 48
 
6.3%
시 48
 
6.3%
동 42
 
5.5%
길 24
 
3.2%
Other values (78) 303
39.8%
Decimal Number
ValueCountFrequency (%)
1 57
25.9%
2 32
14.5%
0 29
13.2%
3 26
11.8%
4 20
 
9.1%
5 15
 
6.8%
8 14
 
6.4%
6 12
 
5.5%
7 9
 
4.1%
9 6
 
2.7%
Space Separator
ValueCountFrequency (%)
216
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 761
57.9%
Common 554
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 52
 
6.8%
해 50
 
6.6%
도 49
 
6.4%
김 49
 
6.4%
경 48
 
6.3%
로 48
 
6.3%
남 48
 
6.3%
시 48
 
6.3%
동 42
 
5.5%
길 24
 
3.2%
Other values (78) 303
39.8%
Common
ValueCountFrequency (%)
216
39.0%
1 57
 
10.3%
( 40
 
7.2%
) 40
 
7.2%
2 32
 
5.8%
0 29
 
5.2%
3 26
 
4.7%
, 25
 
4.5%
4 20
 
3.6%
5 15
 
2.7%
Other values (5) 54
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 761
57.9%
ASCII 554
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
39.0%
1 57
 
10.3%
( 40
 
7.2%
) 40
 
7.2%
2 32
 
5.8%
0 29
 
5.2%
3 26
 
4.7%
, 25
 
4.5%
4 20
 
3.6%
5 15
 
2.7%
Other values (5) 54
 
9.7%
Hangul
ValueCountFrequency (%)
상 52
 
6.8%
해 50
 
6.6%
도 49
 
6.4%
김 49
 
6.4%
경 48
 
6.3%
로 48
 
6.3%
남 48
 
6.3%
시 48
 
6.3%
동 42
 
5.5%
길 24
 
3.2%
Other values (78) 303
39.8%

총층수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)50.0%
Missing9982
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean5.6666667
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:32:43.065780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median6
Q36.75
95-th percentile12.3
Maximum14
Range13
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation3.6299409
Coefficient of variation (CV)0.6405778
Kurtosis0.41019412
Mean5.6666667
Median Absolute Deviation (MAD)2
Skewness0.75912542
Sum102
Variance13.176471
MonotonicityNot monotonic
2023-12-11T08:32:43.163371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6 6
 
0.1%
2 3
 
< 0.1%
7 2
 
< 0.1%
1 2
 
< 0.1%
14 1
 
< 0.1%
3 1
 
< 0.1%
12 1
 
< 0.1%
10 1
 
< 0.1%
5 1
 
< 0.1%
(Missing) 9982
99.8%
ValueCountFrequency (%)
1 2
 
< 0.1%
2 3
< 0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
6 6
0.1%
7 2
 
< 0.1%
10 1
 
< 0.1%
12 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
12 1
 
< 0.1%
10 1
 
< 0.1%
7 2
 
< 0.1%
6 6
0.1%
5 1
 
< 0.1%
3 1
 
< 0.1%
2 3
< 0.1%
1 2
 
< 0.1%

주변환경명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9981 
기타
 
10
유흥업소밀집지역
 
6
주택가주변
 
2
아파트지역
 
1

Length

Max length8
Median length4
Mean length4.0007
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9981
99.8%
기타 10
 
0.1%
유흥업소밀집지역 6
 
0.1%
주택가주변 2
 
< 0.1%
아파트지역 1
 
< 0.1%

Length

2023-12-11T08:32:43.303730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:32:43.399126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9981
99.8%
기타 10
 
0.1%
유흥업소밀집지역 6
 
0.1%
주택가주변 2
 
< 0.1%
아파트지역 1
 
< 0.1%

시설면적
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing9962
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean149.89842
Minimum81
Maximum364.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:32:43.505471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile83.0485
Q1112.08
median139.14
Q3165.3
95-th percentile239.937
Maximum364.88
Range283.88
Interquartile range (IQR)53.22

Descriptive statistics

Standard deviation56.943525
Coefficient of variation (CV)0.37988075
Kurtosis4.4064261
Mean149.89842
Median Absolute Deviation (MAD)27.255
Skewness1.7230932
Sum5696.14
Variance3242.565
MonotonicityNot monotonic
2023-12-11T08:32:43.647159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
145.14 1
 
< 0.1%
135.14 1
 
< 0.1%
127.32 1
 
< 0.1%
166.0 1
 
< 0.1%
161.47 1
 
< 0.1%
143.17 1
 
< 0.1%
163.2 1
 
< 0.1%
191.1 1
 
< 0.1%
83.17 1
 
< 0.1%
81.0 1
 
< 0.1%
Other values (28) 28
 
0.3%
(Missing) 9962
99.6%
ValueCountFrequency (%)
81.0 1
< 0.1%
82.36 1
< 0.1%
83.17 1
< 0.1%
89.73 1
< 0.1%
95.8 1
< 0.1%
99.0 1
< 0.1%
99.42 1
< 0.1%
101.25 1
< 0.1%
103.0 1
< 0.1%
111.49 1
< 0.1%
ValueCountFrequency (%)
364.88 1
< 0.1%
261.0 1
< 0.1%
236.22 1
< 0.1%
231.71 1
< 0.1%
217.1 1
< 0.1%
199.9 1
< 0.1%
192.33 1
< 0.1%
191.1 1
< 0.1%
175.0 1
< 0.1%
166.0 1
< 0.1%

지상층수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)36.8%
Missing9981
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean4
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:32:43.768373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.4494897
Coefficient of variation (CV)0.61237244
Kurtosis-0.13262527
Mean4
Median Absolute Deviation (MAD)2
Skewness0.6590675
Sum76
Variance6
MonotonicityNot monotonic
2023-12-11T08:32:43.867956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 5
 
0.1%
2 4
 
< 0.1%
1 3
 
< 0.1%
6 2
 
< 0.1%
3 2
 
< 0.1%
9 2
 
< 0.1%
4 1
 
< 0.1%
(Missing) 9981
99.8%
ValueCountFrequency (%)
1 3
< 0.1%
2 4
< 0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
5 5
0.1%
6 2
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
9 2
 
< 0.1%
6 2
 
< 0.1%
5 5
0.1%
4 1
 
< 0.1%
3 2
 
< 0.1%
2 4
< 0.1%
1 3
< 0.1%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9989 
1
 
8
13
 
1
2
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.9968
Min length1

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9989
99.9%
1 8
 
0.1%
13 1
 
< 0.1%
2 1
 
< 0.1%
6 1
 
< 0.1%

Length

2023-12-11T08:32:43.987890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:32:44.086589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9989
99.9%
1 8
 
0.1%
13 1
 
< 0.1%
2 1
 
< 0.1%
6 1
 
< 0.1%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9980 
근린생활시설
 
14
기타
 
6

Length

Max length6
Median length4
Mean length4.0016
Min length2

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> 9980
99.8%
근린생활시설 14
 
0.1%
기타 6
 
0.1%

Length

2023-12-11T08:32:44.194098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:32:44.293024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9980
99.8%
근린생활시설 14
 
0.1%
기타 6
 
0.1%

통로너비
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)64.7%
Missing9983
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1.3652941
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:32:44.388768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.1
median1.3
Q31.5
95-th percentile1.92
Maximum2
Range1
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.31992416
Coefficient of variation (CV)0.23432619
Kurtosis-0.58762355
Mean1.3652941
Median Absolute Deviation (MAD)0.2
Skewness0.6571522
Sum23.21
Variance0.10235147
MonotonicityNot monotonic
2023-12-11T08:32:44.501256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.0 3
 
< 0.1%
1.5 3
 
< 0.1%
1.2 3
 
< 0.1%
1.3 1
 
< 0.1%
1.9 1
 
< 0.1%
1.6 1
 
< 0.1%
1.1 1
 
< 0.1%
2.0 1
 
< 0.1%
1.8 1
 
< 0.1%
1.35 1
 
< 0.1%
(Missing) 9983
99.8%
ValueCountFrequency (%)
1.0 3
< 0.1%
1.06 1
 
< 0.1%
1.1 1
 
< 0.1%
1.2 3
< 0.1%
1.3 1
 
< 0.1%
1.35 1
 
< 0.1%
1.5 3
< 0.1%
1.6 1
 
< 0.1%
1.8 1
 
< 0.1%
1.9 1
 
< 0.1%
ValueCountFrequency (%)
2.0 1
 
< 0.1%
1.9 1
 
< 0.1%
1.8 1
 
< 0.1%
1.6 1
 
< 0.1%
1.5 3
< 0.1%
1.35 1
 
< 0.1%
1.3 1
 
< 0.1%
1.2 3
< 0.1%
1.1 1
 
< 0.1%
1.06 1
 
< 0.1%

조명시설조도
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9984 
30
 
8
40
 
7
122
 
1

Length

Max length4
Median length4
Mean length3.9969
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9984
99.8%
30 8
 
0.1%
40 7
 
0.1%
122 1
 
< 0.1%

Length

2023-12-11T08:32:44.713506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:32:44.862860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9984
99.8%
30 8
 
0.1%
40 7
 
0.1%
122 1
 
< 0.1%

노래방실수
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)25.0%
Missing9960
Missing (%)99.6%
Infinite0
Infinite (%)0.0%
Mean6.325
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:32:44.977821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median5.5
Q37
95-th percentile9.1
Maximum30
Range29
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.208584
Coefficient of variation (CV)0.66538878
Kurtosis26.870037
Mean6.325
Median Absolute Deviation (MAD)0.5
Skewness4.7461803
Sum253
Variance17.712179
MonotonicityNot monotonic
2023-12-11T08:32:45.104800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 14
 
0.1%
7 8
 
0.1%
6 7
 
0.1%
4 3
 
< 0.1%
8 2
 
< 0.1%
3 2
 
< 0.1%
11 1
 
< 0.1%
30 1
 
< 0.1%
9 1
 
< 0.1%
1 1
 
< 0.1%
(Missing) 9960
99.6%
ValueCountFrequency (%)
1 1
 
< 0.1%
3 2
 
< 0.1%
4 3
 
< 0.1%
5 14
0.1%
6 7
0.1%
7 8
0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
11 1
 
< 0.1%
30 1
 
< 0.1%
ValueCountFrequency (%)
30 1
 
< 0.1%
11 1
 
< 0.1%
9 1
 
< 0.1%
8 2
 
< 0.1%
7 8
0.1%
6 7
0.1%
5 14
0.1%
4 3
 
< 0.1%
3 2
 
< 0.1%
1 1
 
< 0.1%

청소년실수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)22.6%
Missing9969
Missing (%)99.7%
Infinite0
Infinite (%)0.0%
Mean2.1612903
Minimum0
Maximum7
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:32:45.225007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6552296
Coefficient of variation (CV)0.76585249
Kurtosis1.5393117
Mean2.1612903
Median Absolute Deviation (MAD)1
Skewness1.1872137
Sum67
Variance2.7397849
MonotonicityNot monotonic
2023-12-11T08:32:45.349572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 10
 
0.1%
2 8
 
0.1%
4 4
 
< 0.1%
3 4
 
< 0.1%
0 3
 
< 0.1%
7 1
 
< 0.1%
6 1
 
< 0.1%
(Missing) 9969
99.7%
ValueCountFrequency (%)
0 3
 
< 0.1%
1 10
0.1%
2 8
0.1%
3 4
 
< 0.1%
4 4
 
< 0.1%
6 1
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
7 1
 
< 0.1%
6 1
 
< 0.1%
4 4
 
< 0.1%
3 4
 
< 0.1%
2 8
0.1%
1 10
0.1%
0 3
 
< 0.1%

비상계단여부
Boolean

MISSING 

Distinct2
Distinct (%)4.1%
Missing9951
Missing (%)99.5%
Memory size97.7 KiB
False
 
37
True
 
12
(Missing)
9951 
ValueCountFrequency (%)
False 37
 
0.4%
True 12
 
0.1%
(Missing) 9951
99.5%
2023-12-11T08:32:45.456494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

비상구여부
Boolean

MISSING 

Distinct2
Distinct (%)4.0%
Missing9950
Missing (%)99.5%
Memory size97.7 KiB
False
 
32
True
 
18
(Missing)
9950 
ValueCountFrequency (%)
False 32
 
0.3%
True 18
 
0.2%
(Missing) 9950
99.5%
2023-12-11T08:32:45.545672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

자동환기여부
Boolean

MISSING 

Distinct2
Distinct (%)4.1%
Missing9951
Missing (%)99.5%
Memory size97.7 KiB
False
 
36
True
 
13
(Missing)
9951 
ValueCountFrequency (%)
False 36
 
0.4%
True 13
 
0.1%
(Missing) 9951
99.5%
2023-12-11T08:32:45.636525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

청소년실여부
Boolean

MISSING 

Distinct2
Distinct (%)5.7%
Missing9965
Missing (%)99.7%
Memory size97.7 KiB
True
 
28
False
 
7
(Missing)
9965 
ValueCountFrequency (%)
True 28
 
0.3%
False 7
 
0.1%
(Missing) 9965
99.7%
2023-12-11T08:32:45.717817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

특수조명여부
Boolean

MISSING 

Distinct2
Distinct (%)4.3%
Missing9953
Missing (%)99.5%
Memory size97.7 KiB
False
 
33
True
 
14
(Missing)
9953 
ValueCountFrequency (%)
False 33
 
0.3%
True 14
 
0.1%
(Missing) 9953
99.5%
2023-12-11T08:32:45.796521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

방음시설여부
Boolean

MISSING 

Distinct2
Distinct (%)4.0%
Missing9950
Missing (%)99.5%
Memory size97.7 KiB
False
 
32
True
 
18
(Missing)
9950 
ValueCountFrequency (%)
False 32
 
0.3%
True 18
 
0.2%
(Missing) 9950
99.5%
2023-12-11T08:32:45.890014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지역구분명
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9980 
일반상업지역
 
9
일반주거지역
 
4
준주거지역
 
2
자연녹지지역
 
1
Other values (4)
 
4

Length

Max length6
Median length4
Mean length4.0033
Min length4

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9980
99.8%
일반상업지역 9
 
0.1%
일반주거지역 4
 
< 0.1%
준주거지역 2
 
< 0.1%
자연녹지지역 1
 
< 0.1%
상업지역 1
 
< 0.1%
주거지역 1
 
< 0.1%
준공업지역 1
 
< 0.1%
근린상업지역 1
 
< 0.1%

Length

2023-12-11T08:32:46.011292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:32:46.137877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9980
99.8%
일반상업지역 9
 
0.1%
일반주거지역 4
 
< 0.1%
준주거지역 2
 
< 0.1%
자연녹지지역 1
 
< 0.1%
상업지역 1
 
< 0.1%
주거지역 1
 
< 0.1%
준공업지역 1
 
< 0.1%
근린상업지역 1
 
< 0.1%

위도
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)100.0%
Missing9947
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean35.248449
Minimum35.173685
Maximum35.322815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:32:46.264364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.173685
5-th percentile35.202782
Q135.233678
median35.242157
Q335.255409
95-th percentile35.305806
Maximum35.322815
Range0.1491302
Interquartile range (IQR)0.0217312

Descriptive statistics

Standard deviation0.031210647
Coefficient of variation (CV)0.00088544737
Kurtosis0.484398
Mean35.248449
Median Absolute Deviation (MAD)0.0097654
Skewness0.61124053
Sum1868.1678
Variance0.00097410447
MonotonicityNot monotonic
2023-12-11T08:32:46.427397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.24172324 1
 
< 0.1%
35.2323912 1
 
< 0.1%
35.29591141 1
 
< 0.1%
35.2332622 1
 
< 0.1%
35.23503956 1
 
< 0.1%
35.23794261 1
 
< 0.1%
35.23379841 1
 
< 0.1%
35.23401061 1
 
< 0.1%
35.26083002 1
 
< 0.1%
35.31414094 1
 
< 0.1%
Other values (43) 43
 
0.4%
(Missing) 9947
99.5%
ValueCountFrequency (%)
35.17368523 1
< 0.1%
35.19961332 1
< 0.1%
35.20246362 1
< 0.1%
35.20299474 1
< 0.1%
35.2035975 1
< 0.1%
35.22300145 1
< 0.1%
35.22917666 1
< 0.1%
35.22934563 1
< 0.1%
35.23036768 1
< 0.1%
35.23222054 1
< 0.1%
ValueCountFrequency (%)
35.32281543 1
< 0.1%
35.31414094 1
< 0.1%
35.30749952 1
< 0.1%
35.30467651 1
< 0.1%
35.30446482 1
< 0.1%
35.30288035 1
< 0.1%
35.30259622 1
< 0.1%
35.29689415 1
< 0.1%
35.29591141 1
< 0.1%
35.27781919 1
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)100.0%
Missing9947
Missing (%)99.5%
Infinite0
Infinite (%)0.0%
Mean128.8444
Minimum128.707
Maximum128.91375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T08:32:46.593467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.707
5-th percentile128.72511
Q1128.80807
median128.86713
Q3128.88321
95-th percentile128.90952
Maximum128.91375
Range0.2067488
Interquartile range (IQR)0.0751452

Descriptive statistics

Standard deviation0.062763019
Coefficient of variation (CV)0.0004871226
Kurtosis-0.40648909
Mean128.8444
Median Absolute Deviation (MAD)0.0365503
Skewness-0.97254528
Sum6828.7532
Variance0.0039391966
MonotonicityNot monotonic
2023-12-11T08:32:46.743247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.8782766 1
 
< 0.1%
128.8659172 1
 
< 0.1%
128.7713607 1
 
< 0.1%
128.8780952 1
 
< 0.1%
128.8814461 1
 
< 0.1%
128.9026611 1
 
< 0.1%
128.8657582 1
 
< 0.1%
128.8557723 1
 
< 0.1%
128.8694038 1
 
< 0.1%
128.7425307 1
 
< 0.1%
Other values (43) 43
 
0.4%
(Missing) 9947
99.5%
ValueCountFrequency (%)
128.7070046 1
< 0.1%
128.7140925 1
< 0.1%
128.718055 1
< 0.1%
128.7298085 1
< 0.1%
128.7337475 1
< 0.1%
128.7355715 1
< 0.1%
128.7377902 1
< 0.1%
128.7425307 1
< 0.1%
128.747911 1
< 0.1%
128.751978 1
< 0.1%
ValueCountFrequency (%)
128.9137534 1
< 0.1%
128.913401 1
< 0.1%
128.9099053 1
< 0.1%
128.909269 1
< 0.1%
128.9048684 1
< 0.1%
128.9042293 1
< 0.1%
128.9036905 1
< 0.1%
128.9036853 1
< 0.1%
128.9036846 1
< 0.1%
128.9036821 1
< 0.1%

Sample

사업장명상세영업상태명폐업일자전화번호지번주소도로명주소총층수주변환경명시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부지역구분명위도경도
61143<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78209<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
24686<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
15651<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
81183<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
95211<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67285<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34124<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12935<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
80035<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
사업장명상세영업상태명폐업일자전화번호지번주소도로명주소총층수주변환경명시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부지역구분명위도경도
53746<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23810<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45590<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40480<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
44413<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
47198<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31071<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
27127<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
39709<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
50201<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

사업장명상세영업상태명폐업일자전화번호지번주소도로명주소총층수주변환경명시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부지역구분명위도경도# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9947