Overview

Dataset statistics

Number of variables12
Number of observations34
Missing cells38
Missing cells (%)9.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory100.9 B

Variable types

Numeric1
Categorical3
Text7
DateTime1

Dataset

Description부산광역시_동구_직업소개소현황_20191112
Author부산광역시 동구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3079410

Alerts

운영상태 has constant value ""Constant
사업소전화번호 has 10 (29.4%) missing valuesMissing
사업소주소 has 1 (2.9%) missing valuesMissing
팩스번호 has 27 (79.4%) missing valuesMissing
순번 has unique valuesUnique
법인명 has unique valuesUnique
인허가번호 has unique valuesUnique
법인대표자명 has unique valuesUnique
사업소도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:16:01.025651
Analysis finished2023-12-10 16:16:02.889288
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T01:16:03.000346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2023-12-11T01:16:03.199020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

유무료구분
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
유료
27 
무료
7 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 27
79.4%
무료 7
 
20.6%

Length

2023-12-11T01:16:03.434689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:16:03.595086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 27
79.4%
무료 7
 
20.6%

법인명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T01:16:03.874417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length8.4117647
Min length3

Characters and Unicode

Total characters286
Distinct characters110
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row미소천사 간병서비스
2nd row주식회사 정성네트웍스
3rd row민특수인력개발
4th row(주)만척개발
5th row수인력개발
ValueCountFrequency (%)
주식회사 2
 
4.8%
미소천사 1
 
2.4%
인창개발 1
 
2.4%
한국간병협회 1
 
2.4%
산장협취업알선무료직업소개소 1
 
2.4%
부산광역시 1
 
2.4%
일일취업안내소 1
 
2.4%
주)미래개발 1
 
2.4%
성모케어협회 1
 
2.4%
사)부산경영자총협회무료직업소개소 1
 
2.4%
Other values (31) 31
73.8%
2023-12-11T01:16:04.503249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
개 14
 
4.9%
인 12
 
4.2%
소 11
 
3.8%
사 9
 
3.1%
발 9
 
3.1%
8
 
2.8%
산 7
 
2.4%
업 7
 
2.4%
회 7
 
2.4%
력 7
 
2.4%
Other values (100) 195
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 260
90.9%
Space Separator 8
 
2.8%
Open Punctuation 6
 
2.1%
Close Punctuation 6
 
2.1%
Uppercase Letter 5
 
1.7%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 14
 
5.4%
인 12
 
4.6%
소 11
 
4.2%
사 9
 
3.5%
발 9
 
3.5%
산 7
 
2.7%
업 7
 
2.7%
회 7
 
2.7%
력 7
 
2.7%
스 6
 
2.3%
Other values (92) 171
65.8%
Uppercase Letter
ValueCountFrequency (%)
J 2
40.0%
H 1
20.0%
T 1
20.0%
E 1
20.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 260
90.9%
Common 21
 
7.3%
Latin 5
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 14
 
5.4%
인 12
 
4.6%
소 11
 
4.2%
사 9
 
3.5%
발 9
 
3.5%
산 7
 
2.7%
업 7
 
2.7%
회 7
 
2.7%
력 7
 
2.7%
스 6
 
2.3%
Other values (92) 171
65.8%
Common
ValueCountFrequency (%)
8
38.1%
( 6
28.6%
) 6
28.6%
* 1
 
4.8%
Latin
ValueCountFrequency (%)
J 2
40.0%
H 1
20.0%
T 1
20.0%
E 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 260
90.9%
ASCII 26
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
개 14
 
5.4%
인 12
 
4.6%
소 11
 
4.2%
사 9
 
3.5%
발 9
 
3.5%
산 7
 
2.7%
업 7
 
2.7%
회 7
 
2.7%
력 7
 
2.7%
스 6
 
2.3%
Other values (92) 171
65.8%
ASCII
ValueCountFrequency (%)
8
30.8%
( 6
23.1%
) 6
23.1%
J 2
 
7.7%
H 1
 
3.8%
T 1
 
3.8%
E 1
 
3.8%
* 1
 
3.8%

인허가번호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T01:16:04.860214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters782
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

Unique34 ?
Unique (%)100.0%

Sample

1st row2021-3270139-14-5-00011
2nd row2021-3270139-14-5-00010
3rd row2021-3270139-14-5-00009
4th row2021-3270139-14-5-00008
5th row2021-3270139-14-5-00007
ValueCountFrequency (%)
2021-3270139-14-5-00011 1
 
2.9%
2021-3270139-14-5-00010 1
 
2.9%
1998-3270046-11-5-00002 1
 
2.9%
2014-3270088-14-5-00006 1
 
2.9%
2005-3270046-11-2-00001 1
 
2.9%
2005-3270046-11-5-00001 1
 
2.9%
2006-3270046-11-5-00002 1
 
2.9%
2017-3270086-14-5-00004 1
 
2.9%
2009-3270069-14-5-00003 1
 
2.9%
2021-3270139-14-5-00001 1
 
2.9%
Other values (24) 24
70.6%
2023-12-11T01:16:05.398015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 227
29.0%
- 136
17.4%
1 96
12.3%
2 86
 
11.0%
3 53
 
6.8%
4 42
 
5.4%
5 39
 
5.0%
7 38
 
4.9%
9 24
 
3.1%
8 21
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 646
82.6%
Dash Punctuation 136
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 227
35.1%
1 96
14.9%
2 86
 
13.3%
3 53
 
8.2%
4 42
 
6.5%
5 39
 
6.0%
7 38
 
5.9%
9 24
 
3.7%
8 21
 
3.3%
6 20
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 782
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 227
29.0%
- 136
17.4%
1 96
12.3%
2 86
 
11.0%
3 53
 
6.8%
4 42
 
5.4%
5 39
 
5.0%
7 38
 
4.9%
9 24
 
3.1%
8 21
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 782
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 227
29.0%
- 136
17.4%
1 96
12.3%
2 86
 
11.0%
3 53
 
6.8%
4 42
 
5.4%
5 39
 
5.0%
7 38
 
4.9%
9 24
 
3.1%
8 21
 
2.7%

법인대표자명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T01:16:05.725986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters102
Distinct characters38
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row정찬*
2nd row박인*
3rd row김양*
4th row문경*
5th row이미*
ValueCountFrequency (%)
정찬 1
 
2.9%
박인 1
 
2.9%
김경 1
 
2.9%
안성 1
 
2.9%
채광 1
 
2.9%
안동 1
 
2.9%
하남 1
 
2.9%
심상 1
 
2.9%
이영 1
 
2.9%
양익 1
 
2.9%
Other values (24) 24
70.6%
2023-12-11T01:16:06.265995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 34
33.3%
김 7
 
6.9%
성 4
 
3.9%
경 4
 
3.9%
이 4
 
3.9%
안 4
 
3.9%
정 3
 
2.9%
영 2
 
2.0%
동 2
 
2.0%
미 2
 
2.0%
Other values (28) 36
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68
66.7%
Other Punctuation 34
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 7
 
10.3%
성 4
 
5.9%
경 4
 
5.9%
이 4
 
5.9%
안 4
 
5.9%
정 3
 
4.4%
영 2
 
2.9%
동 2
 
2.9%
미 2
 
2.9%
하 2
 
2.9%
Other values (27) 34
50.0%
Other Punctuation
ValueCountFrequency (%)
* 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68
66.7%
Common 34
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 7
 
10.3%
성 4
 
5.9%
경 4
 
5.9%
이 4
 
5.9%
안 4
 
5.9%
정 3
 
4.4%
영 2
 
2.9%
동 2
 
2.9%
미 2
 
2.9%
하 2
 
2.9%
Other values (27) 34
50.0%
Common
ValueCountFrequency (%)
* 34
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68
66.7%
ASCII 34
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 34
100.0%
Hangul
ValueCountFrequency (%)
김 7
 
10.3%
성 4
 
5.9%
경 4
 
5.9%
이 4
 
5.9%
안 4
 
5.9%
정 3
 
4.4%
영 2
 
2.9%
동 2
 
2.9%
미 2
 
2.9%
하 2
 
2.9%
Other values (27) 34
50.0%

법인개인구분
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
개인
24 
법인
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row개인
4th row법인
5th row개인

Common Values

ValueCountFrequency (%)
개인 24
70.6%
법인 10
29.4%

Length

2023-12-11T01:16:06.486118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:16:06.701273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 24
70.6%
법인 10
29.4%

운영상태
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
영업중
34 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 34
100.0%

Length

2023-12-11T01:16:06.872379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:16:07.022513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 34
100.0%

등록일자
Date

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum1996-08-23 00:00:00
Maximum2021-08-20 00:00:00
2023-12-11T01:16:07.163158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:16:07.354846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

사업소전화번호
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing10
Missing (%)29.4%
Memory size404.0 B
2023-12-11T01:16:07.690293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
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

Unique24 ?
Unique (%)100.0%

Sample

1st row051-722-0408
2nd row051-442-5369
3rd row051-635-7575
4th row051-466-3335
5th row051-636-5879
ValueCountFrequency (%)
051-722-0408 1
 
4.2%
051-442-5369 1
 
4.2%
051-807-0091 1
 
4.2%
051-631-9199 1
 
4.2%
051-442-4410 1
 
4.2%
051-633-6333 1
 
4.2%
051-647-0441 1
 
4.2%
051-464-1604 1
 
4.2%
051-863-0650 1
 
4.2%
051-517-9669 1
 
4.2%
Other values (14) 14
58.3%
2023-12-11T01:16:08.241578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 48
16.7%
0 41
14.2%
1 41
14.2%
5 39
13.5%
6 26
9.0%
4 25
8.7%
7 18
 
6.2%
3 16
 
5.6%
9 14
 
4.9%
2 10
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
17.1%
1 41
17.1%
5 39
16.2%
6 26
10.8%
4 25
10.4%
7 18
7.5%
3 16
 
6.7%
9 14
 
5.8%
2 10
 
4.2%
8 10
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 48
16.7%
0 41
14.2%
1 41
14.2%
5 39
13.5%
6 26
9.0%
4 25
8.7%
7 18
 
6.2%
3 16
 
5.6%
9 14
 
4.9%
2 10
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 48
16.7%
0 41
14.2%
1 41
14.2%
5 39
13.5%
6 26
9.0%
4 25
8.7%
7 18
 
6.2%
3 16
 
5.6%
9 14
 
4.9%
2 10
 
3.5%

사업소주소
Text

MISSING 

Distinct30
Distinct (%)90.9%
Missing1
Missing (%)2.9%
Memory size404.0 B
2023-12-11T01:16:08.909719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length22.272727
Min length18

Characters and Unicode

Total characters735
Distinct characters53
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

Unique28 ?
Unique (%)84.8%

Sample

1st row부산광역시 동구 범일동 830-279
2nd row부산광역시 동구 수정동 231-22
3rd row부산광역시 동구 범일동 830-42 썬오피스텔
4th row부산광역시 동구 범일동 833-5
5th row부산광역시 동구 초량동 46-26
ValueCountFrequency (%)
부산광역시 33
20.5%
동구 33
20.5%
초량동 13
 
8.1%
범일동 11
 
6.8%
2호 5
 
3.1%
수정동 4
 
2.5%
1203번지 3
 
1.9%
3층 3
 
1.9%
1198-5 2
 
1.2%
초량3동 2
 
1.2%
Other values (47) 52
32.3%
2023-12-11T01:16:09.453000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
17.4%
동 66
 
9.0%
부 34
 
4.6%
산 34
 
4.6%
3 33
 
4.5%
광 33
 
4.5%
역 33
 
4.5%
시 33
 
4.5%
구 33
 
4.5%
2 30
 
4.1%
Other values (43) 278
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 413
56.2%
Decimal Number 174
23.7%
Space Separator 128
 
17.4%
Dash Punctuation 14
 
1.9%
Uppercase Letter 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 66
16.0%
부 34
 
8.2%
산 34
 
8.2%
광 33
 
8.0%
역 33
 
8.0%
시 33
 
8.0%
구 33
 
8.0%
호 21
 
5.1%
번 19
 
4.6%
지 19
 
4.6%
Other values (25) 88
21.3%
Decimal Number
ValueCountFrequency (%)
3 33
19.0%
2 30
17.2%
1 28
16.1%
0 18
10.3%
8 18
10.3%
4 14
8.0%
7 9
 
5.2%
5 9
 
5.2%
9 9
 
5.2%
6 6
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
T 1
16.7%
Y 1
16.7%
K 1
16.7%
A 1
16.7%
C 1
16.7%
M 1
16.7%
Space Separator
ValueCountFrequency (%)
128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 413
56.2%
Common 316
43.0%
Latin 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 66
16.0%
부 34
 
8.2%
산 34
 
8.2%
광 33
 
8.0%
역 33
 
8.0%
시 33
 
8.0%
구 33
 
8.0%
호 21
 
5.1%
번 19
 
4.6%
지 19
 
4.6%
Other values (25) 88
21.3%
Common
ValueCountFrequency (%)
128
40.5%
3 33
 
10.4%
2 30
 
9.5%
1 28
 
8.9%
0 18
 
5.7%
8 18
 
5.7%
- 14
 
4.4%
4 14
 
4.4%
7 9
 
2.8%
5 9
 
2.8%
Other values (2) 15
 
4.7%
Latin
ValueCountFrequency (%)
T 1
16.7%
Y 1
16.7%
K 1
16.7%
A 1
16.7%
C 1
16.7%
M 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 413
56.2%
ASCII 322
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
39.8%
3 33
 
10.2%
2 30
 
9.3%
1 28
 
8.7%
0 18
 
5.6%
8 18
 
5.6%
- 14
 
4.3%
4 14
 
4.3%
7 9
 
2.8%
5 9
 
2.8%
Other values (8) 21
 
6.5%
Hangul
ValueCountFrequency (%)
동 66
16.0%
부 34
 
8.2%
산 34
 
8.2%
광 33
 
8.0%
역 33
 
8.0%
시 33
 
8.0%
구 33
 
8.0%
호 21
 
5.1%
번 19
 
4.6%
지 19
 
4.6%
Other values (25) 88
21.3%

사업소도로명주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T01:16:09.806839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length32.705882
Min length22

Characters and Unicode

Total characters1112
Distinct characters89
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row부산광역시 동구 범일로102번길 18. 3층 (범일동)
2nd row부산광역시 동구 고관로 135. 2층 201호 (수정동)
3rd row부산광역시 동구 조방로 39. 썬오피스텔 910호 (범일동)
4th row부산광역시 동구 조방로49번길 18-1. 4층 (범일동)
5th row부산광역시 동구 고관로 11-2. 3층 (초량동)
ValueCountFrequency (%)
부산광역시 34
 
15.1%
동구 34
 
15.1%
초량동 16
 
7.1%
범일동 11
 
4.9%
3층 10
 
4.4%
고관로 6
 
2.7%
수정동 5
 
2.2%
중앙대로 5
 
2.2%
조방로 5
 
2.2%
중앙대로196번길 4
 
1.8%
Other values (83) 95
42.2%
2023-12-11T01:16:10.371797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
17.2%
동 71
 
6.4%
1 54
 
4.9%
부 38
 
3.4%
산 38
 
3.4%
3 38
 
3.4%
. 37
 
3.3%
광 34
 
3.1%
역 34
 
3.1%
시 34
 
3.1%
Other values (79) 543
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 605
54.4%
Decimal Number 193
 
17.4%
Space Separator 191
 
17.2%
Other Punctuation 37
 
3.3%
Close Punctuation 34
 
3.1%
Open Punctuation 34
 
3.1%
Dash Punctuation 12
 
1.1%
Uppercase Letter 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 71
 
11.7%
부 38
 
6.3%
산 38
 
6.3%
광 34
 
5.6%
역 34
 
5.6%
시 34
 
5.6%
구 34
 
5.6%
로 34
 
5.6%
층 21
 
3.5%
량 19
 
3.1%
Other values (58) 248
41.0%
Decimal Number
ValueCountFrequency (%)
1 54
28.0%
3 38
19.7%
2 30
15.5%
0 18
 
9.3%
9 15
 
7.8%
4 13
 
6.7%
6 12
 
6.2%
7 5
 
2.6%
5 4
 
2.1%
8 4
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
M 1
16.7%
Y 1
16.7%
C 1
16.7%
A 1
16.7%
T 1
16.7%
K 1
16.7%
Space Separator
ValueCountFrequency (%)
191
100.0%
Other Punctuation
ValueCountFrequency (%)
. 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 605
54.4%
Common 501
45.1%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 71
 
11.7%
부 38
 
6.3%
산 38
 
6.3%
광 34
 
5.6%
역 34
 
5.6%
시 34
 
5.6%
구 34
 
5.6%
로 34
 
5.6%
층 21
 
3.5%
량 19
 
3.1%
Other values (58) 248
41.0%
Common
ValueCountFrequency (%)
191
38.1%
1 54
 
10.8%
3 38
 
7.6%
. 37
 
7.4%
) 34
 
6.8%
( 34
 
6.8%
2 30
 
6.0%
0 18
 
3.6%
9 15
 
3.0%
4 13
 
2.6%
Other values (5) 37
 
7.4%
Latin
ValueCountFrequency (%)
M 1
16.7%
Y 1
16.7%
C 1
16.7%
A 1
16.7%
T 1
16.7%
K 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 605
54.4%
ASCII 507
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
37.7%
1 54
 
10.7%
3 38
 
7.5%
. 37
 
7.3%
) 34
 
6.7%
( 34
 
6.7%
2 30
 
5.9%
0 18
 
3.6%
9 15
 
3.0%
4 13
 
2.6%
Other values (11) 43
 
8.5%
Hangul
ValueCountFrequency (%)
동 71
 
11.7%
부 38
 
6.3%
산 38
 
6.3%
광 34
 
5.6%
역 34
 
5.6%
시 34
 
5.6%
구 34
 
5.6%
로 34
 
5.6%
층 21
 
3.5%
량 19
 
3.1%
Other values (58) 248
41.0%

팩스번호
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing27
Missing (%)79.4%
Memory size404.0 B
2023-12-11T01:16:10.615964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters84
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

Unique7 ?
Unique (%)100.0%

Sample

1st row051-462-2018
2nd row051-464-9883
3rd row051-583-1996
4th row051-866-0651
5th row051-647-0210
ValueCountFrequency (%)
051-462-2018 1
14.3%
051-464-9883 1
14.3%
051-583-1996 1
14.3%
051-866-0651 1
14.3%
051-647-0210 1
14.3%
051-465-9199 1
14.3%
051-807-0069 1
14.3%
2023-12-11T01:16:11.010251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14
16.7%
- 14
16.7%
1 12
14.3%
5 10
11.9%
6 9
10.7%
9 7
8.3%
8 6
7.1%
4 5
 
6.0%
2 3
 
3.6%
3 2
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70
83.3%
Dash Punctuation 14
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14
20.0%
1 12
17.1%
5 10
14.3%
6 9
12.9%
9 7
10.0%
8 6
8.6%
4 5
 
7.1%
2 3
 
4.3%
3 2
 
2.9%
7 2
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 84
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14
16.7%
- 14
16.7%
1 12
14.3%
5 10
11.9%
6 9
10.7%
9 7
8.3%
8 6
7.1%
4 5
 
6.0%
2 3
 
3.6%
3 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14
16.7%
- 14
16.7%
1 12
14.3%
5 10
11.9%
6 9
10.7%
9 7
8.3%
8 6
7.1%
4 5
 
6.0%
2 3
 
3.6%
3 2
 
2.4%

Interactions

2023-12-11T01:16:01.997981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:16:11.156509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유무료구분법인명인허가번호법인대표자명법인개인구분등록일자사업소전화번호사업소주소사업소도로명주소팩스번호
순번1.0000.3741.0001.0001.0000.0880.9281.0000.9311.0001.000
유무료구분0.3741.0001.0001.0001.0000.5291.0001.0001.0001.000NaN
법인명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인허가번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
법인대표자명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
법인개인구분0.0880.5291.0001.0001.0001.0000.0001.0001.0001.0001.000
등록일자0.9281.0001.0001.0001.0000.0001.0001.0000.9721.0001.000
사업소전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사업소주소0.9311.0001.0001.0001.0001.0000.9721.0001.0001.0001.000
사업소도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스번호1.000NaN1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-11T01:16:11.357631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유무료구분법인개인구분
유무료구분1.0000.354
법인개인구분0.3541.000
2023-12-11T01:16:11.471323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번유무료구분법인개인구분
순번1.0000.2330.000
유무료구분0.2331.0000.354
법인개인구분0.0000.3541.000

Missing values

2023-12-11T01:16:02.234237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:16:02.615370image/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.
2023-12-11T01:16:02.793497image/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

순번유무료구분법인명인허가번호법인대표자명법인개인구분운영상태등록일자사업소전화번호사업소주소사업소도로명주소팩스번호
01유료미소천사 간병서비스2021-3270139-14-5-00011정찬*개인영업중2021-08-20<NA>부산광역시 동구 범일동 830-279부산광역시 동구 범일로102번길 18. 3층 (범일동)<NA>
12유료주식회사 정성네트웍스2021-3270139-14-5-00010박인*개인영업중2021-08-12<NA>부산광역시 동구 수정동 231-22부산광역시 동구 고관로 135. 2층 201호 (수정동)<NA>
23유료민특수인력개발2021-3270139-14-5-00009김양*개인영업중2021-06-29<NA>부산광역시 동구 범일동 830-42 썬오피스텔부산광역시 동구 조방로 39. 썬오피스텔 910호 (범일동)<NA>
34유료(주)만척개발2021-3270139-14-5-00008문경*법인영업중2021-05-28051-722-0408부산광역시 동구 범일동 833-5부산광역시 동구 조방로49번길 18-1. 4층 (범일동)<NA>
45유료수인력개발2021-3270139-14-5-00007이미*개인영업중2021-05-28051-442-5369부산광역시 동구 초량동 46-26부산광역시 동구 고관로 11-2. 3층 (초량동)<NA>
56유료국제탐정법률직업소개사무소2021-3270139-14-5-00006김성*개인영업중2021-05-07051-635-7575부산광역시 동구 범일동 830-55부산광역시 동구 조방로 39-11. 502호 (범일동)<NA>
67유료THE고운2021-3270139-14-5-00005고연*개인영업중2021-04-30051-466-3335부산광역시 동구 초량동 1198-5부산광역시 동구 중앙대로 234. 5층 (초량동)<NA>
78유료두리가사원2021-3270139-14-5-00004장치*개인영업중2021-03-19051-636-5879부산광역시 동구 범일동 833-29부산광역시 동구 범일로 110. 3층 301호 (범일동)<NA>
89유료주식회사 하람네트웍스2021-3270139-14-5-00002도기*법인영업중2021-02-04051-441-5939부산광역시 동구 초량동 1196-1 801호부산광역시 동구 중앙대로236번길 12. 장호빌딩 8층 801호 (초량동)<NA>
910유료부산개발2021-3270139-14-5-00001양익*개인영업중2021-01-26051-442-6610부산광역시 동구 초량동 1200-1부산광역시 동구 중앙대로214번길 7-11. 동남빌딩 204호 (초량동)<NA>
순번유무료구분법인명인허가번호법인대표자명법인개인구분운영상태등록일자사업소전화번호사업소주소사업소도로명주소팩스번호
2425무료(사)한국여성장애인연합 부산여성장애인연대2013-3270086-14-5-00003장향*법인영업중2012-11-27051-517-9669부산광역시 동구 초량동 1203번지 2호부산광역시 동구 중앙대로196번길 12-3. 4층 (초량동)051-583-1996
2526무료부산장애인총연합회 취업지원센터2014-3270088-14-5-00001조창*법인영업중2009-09-16051-863-0650부산광역시 동구 초량동 1203번지 2호부산광역시 동구 중앙대로196번길 12-3. 9층 (초량동. 부산장애인종합회관)051-866-0651
2627유료인창개발2009-3270069-14-5-00003이영*개인영업중2009-06-11051-464-1604부산광역시 동구 초량동 397번지 34호 3층부산광역시 동구 고관로 39-1. 3층 (초량동)<NA>
2728무료(사)부산경영자총협회무료직업소개소2017-3270086-14-5-00004심상*법인영업중2008-06-16051-647-0441부산광역시 동구 범일동 830번지 140호부산광역시 동구 조방로 14. 11층 1102호 (범일동. 동일타워)051-647-0210
2829유료성모케어협회2006-3270046-11-5-00002하남*개인영업중2006-02-08051-633-6333부산광역시 동구 초량2동 283번지 8호 3층부산광역시 동구 초량상로 92 (초량동.3층)<NA>
2930유료(주)미래개발2005-3270046-11-5-00001안동*법인영업중2005-04-11051-442-4410부산광역시 동구 수정동 330번지 3호부산광역시 동구 고관로 73-1 (수정동)<NA>
3031무료부산광역시 일일취업안내소2005-3270046-11-2-00001채광*개인영업중2005-01-28051-631-9199부산광역시 동구 초량3동 1144번지 7호부산광역시 동구 중앙대로 311 (초량동)051-465-9199
3132무료산장협취업알선무료직업소개소2014-3270088-14-5-00006안성*법인영업중2003-08-14051-807-0091부산광역시 동구 초량동 1203번지 2호부산광역시 동구 중앙대로196번길 12-3. 7층 (초량동. 부산장애인종합회관)051-807-0069
3233유료한국간병협회1998-3270046-11-5-00002김경*개인영업중1998-05-18<NA>부산광역시 동구 수정동 242번지 3호부산광역시 동구 고관로 121 (수정동)<NA>
3334유료안인*직업소개소1996-3270046-11-5-00001안인*개인영업중1996-08-23051-416-2070부산광역시 동구 초량2동 1207번지 4호부산광역시 동구 중앙대로 213 (초량동)<NA>