Overview

Dataset statistics

Number of variables18
Number of observations75
Missing cells705
Missing cells (%)52.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.9 KiB
Average record size in memory148.8 B

Variable types

Numeric3
Categorical1
Text3
Boolean11

Dataset

Description부산광역시_환경산업체등록현황_20230823
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075893

Alerts

환경전문공사업_대기 has constant value ""Constant
환경전문공사업_수질 has constant value ""Constant
환경전문공사업_소음 has constant value ""Constant
측정대행업_대기 has constant value ""Constant
측정대행업_수질 has constant value ""Constant
측정대행업_소음 has constant value ""Constant
측정대행업_실내공기질 has constant value ""Constant
측정대행업_악취 has constant value ""Constant
환경관리대행_대기 has constant value ""Constant
환경관리대행_수질 has constant value ""Constant
환경컨설팅 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
환경전문공사업_대기 has 47 (62.7%) missing valuesMissing
환경전문공사업_수질 has 58 (77.3%) missing valuesMissing
환경전문공사업_소음 has 73 (97.3%) missing valuesMissing
측정대행업_대기 has 59 (78.7%) missing valuesMissing
측정대행업_수질 has 64 (85.3%) missing valuesMissing
측정대행업_소음 has 67 (89.3%) missing valuesMissing
측정대행업_실내공기질 has 69 (92.0%) missing valuesMissing
측정대행업_악취 has 70 (93.3%) missing valuesMissing
환경관리대행_대기 has 66 (88.0%) missing valuesMissing
환경관리대행_수질 has 63 (84.0%) missing valuesMissing
환경컨설팅 has 66 (88.0%) missing valuesMissing
전화번호 has 3 (4.0%) missing valuesMissing
번호 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:17:49.620448
Analysis finished2023-12-10 16:17:52.307997
Duration2.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-11T01:17:52.390625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.7
Q119.5
median38
Q356.5
95-th percentile71.3
Maximum75
Range74
Interquartile range (IQR)37

Descriptive statistics

Standard deviation21.794495
Coefficient of variation (CV)0.57353933
Kurtosis-1.2
Mean38
Median Absolute Deviation (MAD)19
Skewness0
Sum2850
Variance475
MonotonicityStrictly increasing
2023-12-11T01:17:52.583969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
49 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
50 1
 
1.3%
48 1
 
1.3%
Other values (65) 65
86.7%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%
66 1
1.3%

구군
Categorical

Distinct13
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
강서구
19 
사상구
12 
동래구
7 
해운대구
7 
금정구
7 
Other values (8)
23 

Length

Max length4
Median length3
Mean length3.0266667
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

1st row동구
2nd row부산진구
3rd row부산진구
4th row동래구
5th row동래구

Common Values

ValueCountFrequency (%)
강서구 19
25.3%
사상구 12
16.0%
동래구 7
 
9.3%
해운대구 7
 
9.3%
금정구 7
 
9.3%
기장군 6
 
8.0%
북구 4
 
5.3%
부산진구 3
 
4.0%
사하구 3
 
4.0%
동구 2
 
2.7%
Other values (3) 5
 
6.7%

Length

2023-12-11T01:17:52.768000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강서구 19
25.3%
사상구 12
16.0%
동래구 7
 
9.3%
해운대구 7
 
9.3%
금정구 7
 
9.3%
기장군 6
 
8.0%
북구 4
 
5.3%
부산진구 3
 
4.0%
사하구 3
 
4.0%
동구 2
 
2.7%
Other values (3) 5
 
6.7%

업체명
Text

Distinct74
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-11T01:17:53.052713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length7.8
Min length3

Characters and Unicode

Total characters585
Distinct characters144
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)97.3%

Sample

1st row㈜한국환경기술연구원
2nd row㈜한일환경플랜트
3rd row㈜더맑은환경
4th row㈜대진환경개발
5th row㈜한서엔텍
ValueCountFrequency (%)
㈜덕원환경산업기술 2
 
2.6%
㈜모리아산업기술 1
 
1.3%
비제이엔지니어링 1
 
1.3%
주식회사 1
 
1.3%
에이티알 1
 
1.3%
중앙분석기술㈜ 1
 
1.3%
소리텍엔지니어링㈜ 1
 
1.3%
지에이치환경㈜ 1
 
1.3%
㈜디에이치환경측정연구소 1
 
1.3%
㈜에코코어기술 1
 
1.3%
Other values (67) 67
85.9%
2023-12-11T01:17:53.466424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 59
 
10.1%
경 39
 
6.7%
환 37
 
6.3%
기 20
 
3.4%
술 18
 
3.1%
엔 17
 
2.9%
이 17
 
2.9%
지 14
 
2.4%
산 13
 
2.2%
업 12
 
2.1%
Other values (134) 339
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 497
85.0%
Other Symbol 59
 
10.1%
Open Punctuation 8
 
1.4%
Close Punctuation 8
 
1.4%
Uppercase Letter 7
 
1.2%
Space Separator 6
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 39
 
7.8%
환 37
 
7.4%
기 20
 
4.0%
술 18
 
3.6%
엔 17
 
3.4%
이 17
 
3.4%
지 14
 
2.8%
산 13
 
2.6%
업 12
 
2.4%
에 11
 
2.2%
Other values (123) 299
60.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
14.3%
O 1
14.3%
W 1
14.3%
A 1
14.3%
E 1
14.3%
N 1
14.3%
G 1
14.3%
Other Symbol
ValueCountFrequency (%)
㈜ 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 556
95.0%
Common 22
 
3.8%
Latin 7
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 59
 
10.6%
경 39
 
7.0%
환 37
 
6.7%
기 20
 
3.6%
술 18
 
3.2%
엔 17
 
3.1%
이 17
 
3.1%
지 14
 
2.5%
산 13
 
2.3%
업 12
 
2.2%
Other values (124) 310
55.8%
Latin
ValueCountFrequency (%)
C 1
14.3%
O 1
14.3%
W 1
14.3%
A 1
14.3%
E 1
14.3%
N 1
14.3%
G 1
14.3%
Common
ValueCountFrequency (%)
( 8
36.4%
) 8
36.4%
6
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 497
85.0%
None 59
 
10.1%
ASCII 29
 
5.0%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 59
100.0%
Hangul
ValueCountFrequency (%)
경 39
 
7.8%
환 37
 
7.4%
기 20
 
4.0%
술 18
 
3.6%
엔 17
 
3.4%
이 17
 
3.4%
지 14
 
2.8%
산 13
 
2.6%
업 12
 
2.4%
에 11
 
2.2%
Other values (123) 299
60.2%
ASCII
ValueCountFrequency (%)
( 8
27.6%
) 8
27.6%
6
20.7%
C 1
 
3.4%
O 1
 
3.4%
W 1
 
3.4%
A 1
 
3.4%
E 1
 
3.4%
N 1
 
3.4%
G 1
 
3.4%

도로명주소
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-11T01:17:53.812822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length29.053333
Min length20

Characters and Unicode

Total characters2179
Distinct characters169
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st row부산광역시 동구 중앙대로 298, 1층(초량동, 부산YWCA)
2nd row부산광역시 부산진구 대학로44번길 13-5(가야동)
3rd row부산광역시 부산진구 서면문화로 35-1, 1106호(부전동)
4th row부산광역시 동래구 명륜로 121(명륜동)
5th row부산광역시 동래구 여고로 61(사직동)
ValueCountFrequency (%)
부산광역시 75
 
19.9%
강서구 19
 
5.0%
사상구 12
 
3.2%
동래구 7
 
1.9%
해운대구 7
 
1.9%
금정구 7
 
1.9%
기장군 6
 
1.6%
중앙대로 5
 
1.3%
장안읍 5
 
1.3%
북구 4
 
1.1%
Other values (201) 230
61.0%
2023-12-11T01:17:54.408799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
303
 
13.9%
산 98
 
4.5%
부 88
 
4.0%
동 82
 
3.8%
1 76
 
3.5%
시 76
 
3.5%
광 76
 
3.5%
역 75
 
3.4%
로 72
 
3.3%
구 69
 
3.2%
Other values (159) 1164
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1298
59.6%
Decimal Number 385
 
17.7%
Space Separator 303
 
13.9%
Open Punctuation 60
 
2.8%
Close Punctuation 60
 
2.8%
Other Punctuation 54
 
2.5%
Uppercase Letter 9
 
0.4%
Dash Punctuation 8
 
0.4%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 98
 
7.6%
부 88
 
6.8%
동 82
 
6.3%
시 76
 
5.9%
광 76
 
5.9%
역 75
 
5.8%
로 72
 
5.5%
구 69
 
5.3%
대 38
 
2.9%
길 27
 
2.1%
Other values (138) 597
46.0%
Decimal Number
ValueCountFrequency (%)
1 76
19.7%
2 61
15.8%
3 48
12.5%
0 43
11.2%
6 33
8.6%
5 32
8.3%
7 25
 
6.5%
9 24
 
6.2%
4 23
 
6.0%
8 20
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
A 2
22.2%
C 2
22.2%
W 1
 
11.1%
Y 1
 
11.1%
Space Separator
ValueCountFrequency (%)
303
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1298
59.6%
Common 872
40.0%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 98
 
7.6%
부 88
 
6.8%
동 82
 
6.3%
시 76
 
5.9%
광 76
 
5.9%
역 75
 
5.8%
로 72
 
5.5%
구 69
 
5.3%
대 38
 
2.9%
길 27
 
2.1%
Other values (138) 597
46.0%
Common
ValueCountFrequency (%)
303
34.7%
1 76
 
8.7%
2 61
 
7.0%
( 60
 
6.9%
) 60
 
6.9%
, 54
 
6.2%
3 48
 
5.5%
0 43
 
4.9%
6 33
 
3.8%
5 32
 
3.7%
Other values (6) 102
 
11.7%
Latin
ValueCountFrequency (%)
B 3
33.3%
A 2
22.2%
C 2
22.2%
W 1
 
11.1%
Y 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1298
59.6%
ASCII 881
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
303
34.4%
1 76
 
8.6%
2 61
 
6.9%
( 60
 
6.8%
) 60
 
6.8%
, 54
 
6.1%
3 48
 
5.4%
0 43
 
4.9%
6 33
 
3.7%
5 32
 
3.6%
Other values (11) 111
 
12.6%
Hangul
ValueCountFrequency (%)
산 98
 
7.6%
부 88
 
6.8%
동 82
 
6.3%
시 76
 
5.9%
광 76
 
5.9%
역 75
 
5.8%
로 72
 
5.5%
구 69
 
5.3%
대 38
 
2.9%
길 27
 
2.1%
Other values (138) 597
46.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.43404
Minimum35.06851
Maximum128.91089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-11T01:17:54.568881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.06851
5-th percentile35.090818
Q135.15008
median35.176641
Q335.212223
95-th percentile35.337007
Maximum128.91089
Range93.842376
Interquartile range (IQR)0.06214219

Descriptive statistics

Standard deviation10.8228
Coefficient of variation (CV)0.29705188
Kurtosis74.994447
Mean36.43404
Median Absolute Deviation (MAD)0.03437107
Skewness8.6597796
Sum2732.553
Variance117.133
MonotonicityNot monotonic
2023-12-11T01:17:54.729861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.19175054 2
 
2.7%
35.19317228 2
 
2.7%
35.12735856 2
 
2.7%
35.17032477 2
 
2.7%
35.1576514 2
 
2.7%
35.33909399 2
 
2.7%
35.3248165 1
 
1.3%
35.21528544 1
 
1.3%
35.211012 1
 
1.3%
35.20027156 1
 
1.3%
Other values (59) 59
78.7%
ValueCountFrequency (%)
35.06850995 1
1.3%
35.07259753 1
1.3%
35.07516172 1
1.3%
35.08719032 1
1.3%
35.09237314 1
1.3%
35.09571841 1
1.3%
35.10231617 1
1.3%
35.1025508 1
1.3%
35.1062115 1
1.3%
35.11355919 1
1.3%
ValueCountFrequency (%)
128.9108856 1
1.3%
35.35829509 1
1.3%
35.33909399 2
2.7%
35.33611188 1
1.3%
35.3248165 1
1.3%
35.31383914 1
1.3%
35.27538662 1
1.3%
35.27534801 1
1.3%
35.25261445 1
1.3%
35.24301713 1
1.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.78267
Minimum35.092867
Maximum129.27489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-11T01:17:54.909603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.092867
5-th percentile128.8707
Q1128.96623
median129.03731
Q3129.09266
95-th percentile129.24742
Maximum129.27489
Range94.18202
Interquartile range (IQR)0.12642625

Descriptive statistics

Standard deviation10.848027
Coefficient of variation (CV)0.084894356
Kurtosis74.985683
Mean127.78267
Median Absolute Deviation (MAD)0.057819
Skewness-8.6590302
Sum9583.6999
Variance117.67969
MonotonicityNot monotonic
2023-12-11T01:17:55.063775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.1538446 2
 
2.7%
128.9871137 2
 
2.7%
128.8762148 2
 
2.7%
128.9541787 2
 
2.7%
128.983402 2
 
2.7%
129.2596693 2
 
2.7%
129.2130243 1
 
1.3%
128.9588681 1
 
1.3%
129.0747219 1
 
1.3%
129.0701985 1
 
1.3%
Other values (59) 59
78.7%
ValueCountFrequency (%)
35.09286685 1
1.3%
128.8302389 1
1.3%
128.8447146 1
1.3%
128.8578245 1
1.3%
128.8762148 2
2.7%
128.8800941 1
1.3%
128.8810033 1
1.3%
128.8837998 1
1.3%
128.8849979 1
1.3%
128.8873301 1
1.3%
ValueCountFrequency (%)
129.2748873 1
1.3%
129.2655737 1
1.3%
129.2596693 2
2.7%
129.2421773 1
1.3%
129.2130243 1
1.3%
129.1624721 1
1.3%
129.1538446 2
2.7%
129.1298566 1
1.3%
129.1283182 1
1.3%
129.1264655 1
1.3%

환경전문공사업_대기
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)3.6%
Missing47
Missing (%)62.7%
Memory size282.0 B
True
28 
(Missing)
47 
ValueCountFrequency (%)
True 28
37.3%
(Missing) 47
62.7%
2023-12-11T01:17:55.199567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

환경전문공사업_수질
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)5.9%
Missing58
Missing (%)77.3%
Memory size282.0 B
True
17 
(Missing)
58 
ValueCountFrequency (%)
True 17
 
22.7%
(Missing) 58
77.3%
2023-12-11T01:17:55.309200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

환경전문공사업_소음
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing73
Missing (%)97.3%
Memory size282.0 B
True
 
2
(Missing)
73 
ValueCountFrequency (%)
True 2
 
2.7%
(Missing) 73
97.3%
2023-12-11T01:17:55.501836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

측정대행업_대기
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)6.2%
Missing59
Missing (%)78.7%
Memory size282.0 B
True
16 
(Missing)
59 
ValueCountFrequency (%)
True 16
 
21.3%
(Missing) 59
78.7%
2023-12-11T01:17:55.667846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

측정대행업_수질
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)9.1%
Missing64
Missing (%)85.3%
Memory size282.0 B
True
11 
(Missing)
64 
ValueCountFrequency (%)
True 11
 
14.7%
(Missing) 64
85.3%
2023-12-11T01:17:55.781131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

측정대행업_소음
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)12.5%
Missing67
Missing (%)89.3%
Memory size282.0 B
True
8 
(Missing)
67 
ValueCountFrequency (%)
True 8
 
10.7%
(Missing) 67
89.3%
2023-12-11T01:17:55.880768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

측정대행업_실내공기질
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)16.7%
Missing69
Missing (%)92.0%
Memory size282.0 B
True
 
6
(Missing)
69 
ValueCountFrequency (%)
True 6
 
8.0%
(Missing) 69
92.0%
2023-12-11T01:17:55.986399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

측정대행업_악취
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)20.0%
Missing70
Missing (%)93.3%
Memory size282.0 B
True
 
5
(Missing)
70 
ValueCountFrequency (%)
True 5
 
6.7%
(Missing) 70
93.3%
2023-12-11T01:17:56.080073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

환경관리대행_대기
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)11.1%
Missing66
Missing (%)88.0%
Memory size282.0 B
True
9 
(Missing)
66 
ValueCountFrequency (%)
True 9
 
12.0%
(Missing) 66
88.0%
2023-12-11T01:17:56.192054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

환경관리대행_수질
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)8.3%
Missing63
Missing (%)84.0%
Memory size282.0 B
True
12 
(Missing)
63 
ValueCountFrequency (%)
True 12
 
16.0%
(Missing) 63
84.0%
2023-12-11T01:17:56.315569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

환경컨설팅
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)11.1%
Missing66
Missing (%)88.0%
Memory size282.0 B
True
9 
(Missing)
66 
ValueCountFrequency (%)
True 9
 
12.0%
(Missing) 66
88.0%
2023-12-11T01:17:56.438117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전화번호
Text

MISSING 

Distinct72
Distinct (%)100.0%
Missing3
Missing (%)4.0%
Memory size732.0 B
2023-12-11T01:17:56.763845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.013889
Min length12

Characters and Unicode

Total characters865
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)100.0%

Sample

1st row051-441-7599
2nd row051-817-9983
3rd row051-805-0545
4th row051-558-0415
5th row051-501-6888
ValueCountFrequency (%)
051-817-9983 1
 
1.4%
051-805-0545 1
 
1.4%
051-715-3351 1
 
1.4%
070-4327-7141 1
 
1.4%
051-923-0080 1
 
1.4%
051-502-0123 1
 
1.4%
051-311-1600 1
 
1.4%
051-727-3932 1
 
1.4%
051-727-3161 1
 
1.4%
051-441-7599 1
 
1.4%
Other values (62) 62
86.1%
2023-12-11T01:17:57.385442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 144
16.6%
1 136
15.7%
0 130
15.0%
5 119
13.8%
3 67
7.7%
2 60
6.9%
7 54
 
6.2%
6 52
 
6.0%
8 42
 
4.9%
9 31
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 721
83.4%
Dash Punctuation 144
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 136
18.9%
0 130
18.0%
5 119
16.5%
3 67
9.3%
2 60
8.3%
7 54
 
7.5%
6 52
 
7.2%
8 42
 
5.8%
9 31
 
4.3%
4 30
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 865
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 144
16.6%
1 136
15.7%
0 130
15.0%
5 119
13.8%
3 67
7.7%
2 60
6.9%
7 54
 
6.2%
6 52
 
6.0%
8 42
 
4.9%
9 31
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 865
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 144
16.6%
1 136
15.7%
0 130
15.0%
5 119
13.8%
3 67
7.7%
2 60
6.9%
7 54
 
6.2%
6 52
 
6.0%
8 42
 
4.9%
9 31
 
3.6%

Interactions

2023-12-11T01:17:51.252620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:17:50.574324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:17:50.897932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:17:51.384449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:17:50.692276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:17:51.015077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:17:51.501060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:17:50.785568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:17:51.133171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:17:57.553586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구군업체명도로명주소위도경도전화번호
번호1.0000.7670.9371.0000.0000.0001.000
구군0.7671.0001.0001.0000.0000.0001.000
업체명0.9371.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.000
위도0.0000.0001.0001.0001.0000.6881.000
경도0.0000.0001.0001.0000.6881.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
2023-12-11T01:17:57.726351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호위도경도구군
번호1.0000.044-0.0760.440
위도0.0441.0000.5530.000
경도-0.0760.5531.0000.000
구군0.4400.0000.0001.000

Missing values

2023-12-11T01:17:51.643125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:17:51.906076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T01:17:52.126633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호구군업체명도로명주소위도경도환경전문공사업_대기환경전문공사업_수질환경전문공사업_소음측정대행업_대기측정대행업_수질측정대행업_소음측정대행업_실내공기질측정대행업_악취환경관리대행_대기환경관리대행_수질환경컨설팅전화번호
01동구㈜한국환경기술연구원부산광역시 동구 중앙대로 298, 1층(초량동, 부산YWCA)35.123104129.044359<NA><NA><NA>YYYYY<NA><NA><NA>051-441-7599
12부산진구㈜한일환경플랜트부산광역시 부산진구 대학로44번길 13-5(가야동)35.152149129.034612YY<NA><NA><NA><NA><NA><NA><NA><NA><NA>051-817-9983
23부산진구㈜더맑은환경부산광역시 부산진구 서면문화로 35-1, 1106호(부전동)35.160308129.055328<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>Y051-805-0545
34동래구㈜대진환경개발부산광역시 동래구 명륜로 121(명륜동)35.204607129.08238<NA>Y<NA><NA><NA><NA><NA><NA><NA>Y<NA>051-558-0415
45동래구㈜한서엔텍부산광역시 동래구 여고로 61(사직동)35.196303129.070509YY<NA><NA><NA><NA><NA><NA>YY<NA>051-501-6888
56동래구㈜대한환경이엔지부산광역시 동래구 여고북로73번길 37(온천동)35.202206129.068544YY<NA><NA>Y<NA>Y<NA><NA>Y<NA>051-506-2828
67동래구한국종합환경산업㈜부산광역시 동래구 온천천로319번길 12(수안동)35.195331129.088538<NA><NA><NA>YYY<NA>Y<NA><NA><NA>051-555-6511
78동래구㈜대한생활환경시험원부산광역시 동래구 아시아대로255번길 9, B동201호(온천동, 미도빌딩)35.203698129.087222<NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA>051-557-6907
89연제구㈜누리환경 ENG부산광역시 연제구 중앙대로 1229, 304호(거제동, 화신빌딩)35.197073129.079161<NA><NA><NA><NA><NA>Y<NA><NA><NA><NA><NA>051-710-6379
910남구(주)동해환경부산광역시 남구 진남로 207(문현동)35.144394129.076368<NA><NA><NA><NA><NA><NA><NA><NA><NA>Y<NA>051-643-8225
번호구군업체명도로명주소위도경도환경전문공사업_대기환경전문공사업_수질환경전문공사업_소음측정대행업_대기측정대행업_수질측정대행업_소음측정대행업_실내공기질측정대행업_악취환경관리대행_대기환경관리대행_수질환경컨설팅전화번호
6566강서구㈜덕원환경산업기술부산광역시 강서구 신호산단3로 66, 701호35.08719128.880094<NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA><NA>
6667동구㈜다음환경연구소부산광역시 동구 중앙대로286번길 7-7(초량동)35.122308129.044601<NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA>051-711-0028
6768강서구㈜원탑환경기술부산광역시 강서구 유통단지1로 41, 108동 210호(대저2동)35.167293128.955702Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-989-7058
6869해운대구포에어부산광역시 해운대구 선템중앙로 48, 1807호35.191751129.153845Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6970금정구이원환경엔지니어링부산광역시 금정구 무학송로 127-135.242571129.093674Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-517-5464
7071해운대구㈜에너텍유나이티드부산광역시 해운대구 센텀중앙로 48, 1001호,1002호 (우동, 에이스하이테크21)35.173021129.129857<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-902-8902
7172사상구㈜우성환경부산광역시 사상구 가야대로 368, 5층(주례동)35.150992129.012724Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-315-6400
7273부산진구㈜이엔직업환경연구소부산광역시 부산진구 서면문화로 47, 6~7층 (부전동, 가회빌딩)35.161202129.055153<NA><NA><NA>Y<NA><NA><NA><NA><NA><NA><NA>051-807-0201
7374금정구(사)대한산업보건협회 부산경남지역본부부산광역시 금정구 중앙대로 2139(동하빌딩)35.275348129.092301<NA><NA><NA><NA><NA><NA>Y<NA><NA><NA><NA>051-508-6088
7475강서구㈜이엔에스테크부산광역시 강서구 명지국제6로 107, C동 323호128.91088635.092867Y<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>051-205-7375