Overview

Dataset statistics

Number of variables5
Number of observations108
Missing cells15
Missing cells (%)2.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory42.2 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description인천광역시 부평구 직업소개소의 명칭, 소재지, 전화번호 데이터입니다.ex) 행복공인중개사사무소,김길자,대표,032-508-2455,인천광역시 부평구 경인로 959(부평동),2021-09-28
Author인천광역시 부평구
URLhttps://www.data.go.kr/data/3080299/fileData.do

Alerts

유료_무료 is highly imbalanced (73.0%)Imbalance
전화번호 has 15 (13.9%) missing valuesMissing
연번 has unique valuesUnique
직업소개소 명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:46:19.209387
Analysis finished2023-12-12 13:46:19.626646
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.5
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T22:46:19.692776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.35
Q127.75
median54.5
Q381.25
95-th percentile102.65
Maximum108
Range107
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation31.32092
Coefficient of variation (CV)0.57469577
Kurtosis-1.2
Mean54.5
Median Absolute Deviation (MAD)27
Skewness0
Sum5886
Variance981
MonotonicityStrictly increasing
2023-12-12T22:46:20.039091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
70 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%

유료_무료
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
유료
103 
무료
 
5

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 103
95.4%
무료 5
 
4.6%

Length

2023-12-12T22:46:20.150232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:46:20.230776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 103
95.4%
무료 5
 
4.6%

직업소개소 명
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-12T22:46:20.408122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length6.5925926
Min length3

Characters and Unicode

Total characters712
Distinct characters187
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)100.0%

Sample

1st row㈜현대인력개발
2nd row김동기 인력뱅크
3rd row조은주부센타
4th row동암파출부
5th row세종인력
ValueCountFrequency (%)
부평점 3
 
2.4%
무료직업소개소 3
 
2.4%
사회적협동조합 2
 
1.6%
최고인력개발 1
 
0.8%
개미인력개발 1
 
0.8%
오라인력사무소 1
 
0.8%
gtx부평인력 1
 
0.8%
베스트맘 1
 
0.8%
경인직업센터 1
 
0.8%
고용과미래 1
 
0.8%
Other values (109) 109
87.9%
2023-12-12T22:46:20.740079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 74
 
10.4%
력 64
 
9.0%
소 37
 
5.2%
개 33
 
4.6%
업 23
 
3.2%
직 19
 
2.7%
16
 
2.2%
발 15
 
2.1%
파 14
 
2.0%
부 13
 
1.8%
Other values (177) 404
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 679
95.4%
Space Separator 16
 
2.2%
Other Symbol 4
 
0.6%
Uppercase Letter 4
 
0.6%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Lowercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 74
 
10.9%
력 64
 
9.4%
소 37
 
5.4%
개 33
 
4.9%
업 23
 
3.4%
직 19
 
2.8%
발 15
 
2.2%
파 14
 
2.1%
부 13
 
1.9%
출 11
 
1.6%
Other values (166) 376
55.4%
Uppercase Letter
ValueCountFrequency (%)
L 1
25.0%
G 1
25.0%
K 1
25.0%
O 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
33.3%
t 1
33.3%
g 1
33.3%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 683
95.9%
Common 22
 
3.1%
Latin 7
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 74
 
10.8%
력 64
 
9.4%
소 37
 
5.4%
개 33
 
4.8%
업 23
 
3.4%
직 19
 
2.8%
발 15
 
2.2%
파 14
 
2.0%
부 13
 
1.9%
출 11
 
1.6%
Other values (167) 380
55.6%
Latin
ValueCountFrequency (%)
x 1
14.3%
t 1
14.3%
L 1
14.3%
g 1
14.3%
G 1
14.3%
K 1
14.3%
O 1
14.3%
Common
ValueCountFrequency (%)
16
72.7%
( 3
 
13.6%
) 3
 
13.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 679
95.4%
ASCII 29
 
4.1%
None 4
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 74
 
10.9%
력 64
 
9.4%
소 37
 
5.4%
개 33
 
4.9%
업 23
 
3.4%
직 19
 
2.8%
발 15
 
2.2%
파 14
 
2.1%
부 13
 
1.9%
출 11
 
1.6%
Other values (166) 376
55.4%
ASCII
ValueCountFrequency (%)
16
55.2%
( 3
 
10.3%
) 3
 
10.3%
x 1
 
3.4%
t 1
 
3.4%
L 1
 
3.4%
g 1
 
3.4%
G 1
 
3.4%
K 1
 
3.4%
O 1
 
3.4%
None
ValueCountFrequency (%)
㈜ 4
100.0%

전화번호
Text

MISSING 

Distinct93
Distinct (%)100.0%
Missing15
Missing (%)13.9%
Memory size996.0 B
2023-12-12T22:46:20.980272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1116
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

Unique93 ?
Unique (%)100.0%

Sample

1st row032-525-5512
2nd row032-501-2222
3rd row032-529-1882
4th row032-431-2346
5th row032-501-0408
ValueCountFrequency (%)
032-506-3578 1
 
1.1%
032-282-8275 1
 
1.1%
032-433-3113 1
 
1.1%
032-521-2773 1
 
1.1%
032-521-0482 1
 
1.1%
032-872-7912 1
 
1.1%
032-503-0300 1
 
1.1%
02-2677-2889 1
 
1.1%
032-501-2007 1
 
1.1%
032-521-3420 1
 
1.1%
Other values (83) 83
89.2%
2023-12-12T22:46:21.364844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 186
16.7%
2 181
16.2%
0 166
14.9%
3 155
13.9%
1 105
9.4%
5 95
8.5%
8 55
 
4.9%
4 52
 
4.7%
7 45
 
4.0%
6 40
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 930
83.3%
Dash Punctuation 186
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 181
19.5%
0 166
17.8%
3 155
16.7%
1 105
11.3%
5 95
10.2%
8 55
 
5.9%
4 52
 
5.6%
7 45
 
4.8%
6 40
 
4.3%
9 36
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 186
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1116
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 186
16.7%
2 181
16.2%
0 166
14.9%
3 155
13.9%
1 105
9.4%
5 95
8.5%
8 55
 
4.9%
4 52
 
4.7%
7 45
 
4.0%
6 40
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 186
16.7%
2 181
16.2%
0 166
14.9%
3 155
13.9%
1 105
9.4%
5 95
8.5%
8 55
 
4.9%
4 52
 
4.7%
7 45
 
4.0%
6 40
 
3.6%

소재지(도로명주소)
Text

Distinct107
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-12T22:46:21.653750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length29.907407
Min length22

Characters and Unicode

Total characters3230
Distinct characters135
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

Unique106 ?
Unique (%)98.1%

Sample

1st row인천광역시 부평구 경원대로 1360, 3층(부평동, 대림빌딩)
2nd row인천광역시 부평구 경원대로 1262-1, 6층 (부평동, 부영빌딩)
3rd row인천광역시 부평구 대정로 14, 3층 (부평동)
4th row인천광역시 부평구 동암광장로 20(십정동)
5th row인천광역시 부평구 부평대로 101, 3층 (부평동)
ValueCountFrequency (%)
인천광역시 108
 
16.7%
부평구 108
 
16.7%
부평동 43
 
6.6%
십정동 31
 
4.8%
3층 15
 
2.3%
2층 14
 
2.2%
부평대로 13
 
2.0%
갈산동 8
 
1.2%
장제로 8
 
1.2%
경인로 8
 
1.2%
Other values (210) 292
45.1%
2023-12-12T22:46:22.056871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
542
 
16.8%
부 185
 
5.7%
평 172
 
5.3%
동 125
 
3.9%
천 119
 
3.7%
인 118
 
3.7%
광 113
 
3.5%
시 111
 
3.4%
구 110
 
3.4%
로 110
 
3.4%
Other values (125) 1525
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1866
57.8%
Space Separator 542
 
16.8%
Decimal Number 483
 
15.0%
Open Punctuation 106
 
3.3%
Other Punctuation 106
 
3.3%
Close Punctuation 106
 
3.3%
Dash Punctuation 17
 
0.5%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 185
 
9.9%
평 172
 
9.2%
동 125
 
6.7%
천 119
 
6.4%
인 118
 
6.3%
광 113
 
6.1%
시 111
 
5.9%
구 110
 
5.9%
로 110
 
5.9%
역 108
 
5.8%
Other values (107) 595
31.9%
Decimal Number
ValueCountFrequency (%)
1 86
17.8%
3 81
16.8%
2 74
15.3%
4 57
11.8%
0 52
10.8%
6 37
7.7%
7 31
 
6.4%
8 26
 
5.4%
5 22
 
4.6%
9 17
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
U 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
542
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Other Punctuation
ValueCountFrequency (%)
, 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1866
57.8%
Common 1360
42.1%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 185
 
9.9%
평 172
 
9.2%
동 125
 
6.7%
천 119
 
6.4%
인 118
 
6.3%
광 113
 
6.1%
시 111
 
5.9%
구 110
 
5.9%
로 110
 
5.9%
역 108
 
5.8%
Other values (107) 595
31.9%
Common
ValueCountFrequency (%)
542
39.9%
( 106
 
7.8%
, 106
 
7.8%
) 106
 
7.8%
1 86
 
6.3%
3 81
 
6.0%
2 74
 
5.4%
4 57
 
4.2%
0 52
 
3.8%
6 37
 
2.7%
Other values (5) 113
 
8.3%
Latin
ValueCountFrequency (%)
B 2
50.0%
U 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1866
57.8%
ASCII 1364
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
542
39.7%
( 106
 
7.8%
, 106
 
7.8%
) 106
 
7.8%
1 86
 
6.3%
3 81
 
5.9%
2 74
 
5.4%
4 57
 
4.2%
0 52
 
3.8%
6 37
 
2.7%
Other values (8) 117
 
8.6%
Hangul
ValueCountFrequency (%)
부 185
 
9.9%
평 172
 
9.2%
동 125
 
6.7%
천 119
 
6.4%
인 118
 
6.3%
광 113
 
6.1%
시 111
 
5.9%
구 110
 
5.9%
로 110
 
5.9%
역 108
 
5.8%
Other values (107) 595
31.9%

Interactions

2023-12-12T22:46:19.421580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:46:22.162785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유료_무료전화번호
연번1.0000.0801.000
유료_무료0.0801.0001.000
전화번호1.0001.0001.000
2023-12-12T22:46:22.244466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유료_무료
연번1.0000.052
유료_무료0.0521.000

Missing values

2023-12-12T22:46:19.513922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:46:19.594466image/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.

Sample

연번유료_무료직업소개소 명전화번호소재지(도로명주소)
01유료㈜현대인력개발032-525-5512인천광역시 부평구 경원대로 1360, 3층(부평동, 대림빌딩)
12유료김동기 인력뱅크032-501-2222인천광역시 부평구 경원대로 1262-1, 6층 (부평동, 부영빌딩)
23유료조은주부센타032-529-1882인천광역시 부평구 대정로 14, 3층 (부평동)
34유료동암파출부032-431-2346인천광역시 부평구 동암광장로 20(십정동)
45유료세종인력032-501-0408인천광역시 부평구 부평대로 101, 3층 (부평동)
56유료힘찬인력032-657-4949인천광역시 부평구 수변로 13, 301호 (부개동)
67유료대신인력032-503-0480인천광역시 부평구 마장로 354, 2층 (산곡동)
78무료(사) 인천여성노동자회 무료직업소개소032-291-7400인천광역시 부평구 마장로 39-4 (십정동)
89유료인천인력개발032-421-2231인천광역시 부평구 아트센터로 26-1 (십정동)
910유료미화파출인력뱅크032-505-8787인천광역시 부평구 부평대로 16-1 (부평동)
연번유료_무료직업소개소 명전화번호소재지(도로명주소)
9899유료동부직업소개소032-508-3555인천광역시 부평구 원적로 477-2 (부평동)
99100유료LG인력직업소개소032-529-1259인천광역시 부평구 평천로 290, 502호 (갈산동)
100101유료노아이레케어간병센터032-428-0050인천광역시 부평구 충선로203번길 24, 삼산프라자 605호(삼산동)
101102유료연합인력032-506-2263인천광역시 부평구 시장로 83, 6층 (부평동)
102103유료주식회사 파트너동행032-571-7772인천광역시 부평구 안남로 423, 213호 (청천동)
103104유료열린 일자리센터032-503-1982인천광역시 부평구 신트리로6번길 6, 302호 (부평동, 혜성빌딩)
104105유료조성인력사무소<NA>인천광역시 부평구 부흥로111번길 36, 204호(산곡동, 산곡우성5차아파트 상가동)
105106유료힘쎈인력032-442-1214인천광역시 부평구 열우물로 36, 4층 (십정동)
106107유료은혜파출 인천 부평점032-276-0012인천광역시 부평구 안남로 79, 3층 (부평동)
107108유료사람뜰032-503-1955인천광역시 부평구 수변로 47, 101호 (부개동)