Overview

Dataset statistics

Number of variables4
Number of observations111
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory34.2 B

Variable types

Numeric1
Text2
DateTime1

Dataset

Description인천광역시 서구 직업소개소 현황 데이터로 법인명(인력 사무소 ,직업소개소),사업소도로명주소 구성 되어 있습니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15091254&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
법인명 has unique valuesUnique

Reproduction

Analysis started2024-03-18 02:01:15.028213
Analysis finished2024-03-18 02:01:15.703301
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56
Minimum1
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-18T11:01:15.762775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.5
Q128.5
median56
Q383.5
95-th percentile105.5
Maximum111
Range110
Interquartile range (IQR)55

Descriptive statistics

Standard deviation32.186954
Coefficient of variation (CV)0.57476703
Kurtosis-1.2
Mean56
Median Absolute Deviation (MAD)28
Skewness0
Sum6216
Variance1036
MonotonicityStrictly increasing
2024-03-18T11:01:15.866474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
2 1
 
0.9%
83 1
 
0.9%
82 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%
Other values (101) 101
91.0%
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 (%)
111 1
0.9%
110 1
0.9%
109 1
0.9%
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%

법인명
Text

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-03-18T11:01:16.028014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.3783784
Min length3

Characters and Unicode

Total characters708
Distinct characters196
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

Unique111 ?
Unique (%)100.0%

Sample

1st row(주)에이치와이에이치
2nd row키움인력
3rd row참사랑어머니회
4th row일가자 전기인력(1호점)
5th row현대직업소개소
ValueCountFrequency (%)
인력 4
 
3.0%
주)에이치와이에이치 1
 
0.8%
성진인력 1
 
0.8%
인천직업소개소 1
 
0.8%
한양인력개발 1
 
0.8%
석남인력개발 1
 
0.8%
한국인력 1
 
0.8%
선직업소개소 1
 
0.8%
원인력 1
 
0.8%
성강이지에스 1
 
0.8%
Other values (119) 119
90.2%
2024-03-18T11:01:16.289828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 74
 
10.5%
력 63
 
8.9%
소 32
 
4.5%
개 26
 
3.7%
21
 
3.0%
사 16
 
2.3%
이 14
 
2.0%
( 12
 
1.7%
) 12
 
1.7%
발 12
 
1.7%
Other values (186) 426
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 652
92.1%
Space Separator 21
 
3.0%
Open Punctuation 12
 
1.7%
Close Punctuation 12
 
1.7%
Uppercase Letter 5
 
0.7%
Decimal Number 4
 
0.6%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 74
 
11.3%
력 63
 
9.7%
소 32
 
4.9%
개 26
 
4.0%
사 16
 
2.5%
이 14
 
2.1%
발 12
 
1.8%
직 11
 
1.7%
성 11
 
1.7%
업 11
 
1.7%
Other values (172) 382
58.6%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
R 1
20.0%
H 1
20.0%
N 1
20.0%
K 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
5 1
25.0%
6 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 652
92.1%
Common 51
 
7.2%
Latin 5
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 74
 
11.3%
력 63
 
9.7%
소 32
 
4.9%
개 26
 
4.0%
사 16
 
2.5%
이 14
 
2.1%
발 12
 
1.8%
직 11
 
1.7%
성 11
 
1.7%
업 11
 
1.7%
Other values (172) 382
58.6%
Common
ValueCountFrequency (%)
21
41.2%
( 12
23.5%
) 12
23.5%
1 1
 
2.0%
5 1
 
2.0%
6 1
 
2.0%
3 1
 
2.0%
& 1
 
2.0%
- 1
 
2.0%
Latin
ValueCountFrequency (%)
A 1
20.0%
R 1
20.0%
H 1
20.0%
N 1
20.0%
K 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 652
92.1%
ASCII 56
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 74
 
11.3%
력 63
 
9.7%
소 32
 
4.9%
개 26
 
4.0%
사 16
 
2.5%
이 14
 
2.1%
발 12
 
1.8%
직 11
 
1.7%
성 11
 
1.7%
업 11
 
1.7%
Other values (172) 382
58.6%
ASCII
ValueCountFrequency (%)
21
37.5%
( 12
21.4%
) 12
21.4%
1 1
 
1.8%
A 1
 
1.8%
5 1
 
1.8%
6 1
 
1.8%
3 1
 
1.8%
R 1
 
1.8%
H 1
 
1.8%
Other values (4) 4
 
7.1%

소재지(도로명)
Text

Distinct110
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-03-18T11:01:16.519840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length32.792793
Min length22

Characters and Unicode

Total characters3640
Distinct characters173
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

Unique109 ?
Unique (%)98.2%

Sample

1st row인천광역시 서구 크리스탈로74번길 31. 월드프라자 306호 (청라동)
2nd row인천광역시 서구 길주로 106. 2층 (석남동)
3rd row인천광역시 서구 완정로 163. 트리풀타워 에이동 10층 1002-5호 (왕길동)
4th row인천광역시 서구 백범로910번길 19. A동 102호 (가좌동)
5th row인천광역시 서구 승학로216번길 1. 202호 (심곡동)
ValueCountFrequency (%)
인천광역시 111
 
14.8%
서구 111
 
14.8%
마전동 26
 
3.5%
석남동 25
 
3.3%
3층 22
 
2.9%
2층 21
 
2.8%
가정로 19
 
2.5%
완정로 9
 
1.2%
심곡동 8
 
1.1%
가좌동 8
 
1.1%
Other values (258) 389
51.9%
2024-03-18T11:01:16.860863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
638
 
17.5%
1 130
 
3.6%
동 120
 
3.3%
서 119
 
3.3%
. 117
 
3.2%
로 116
 
3.2%
광 112
 
3.1%
인 111
 
3.0%
( 111
 
3.0%
) 111
 
3.0%
Other values (163) 1955
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2005
55.1%
Space Separator 638
 
17.5%
Decimal Number 636
 
17.5%
Other Punctuation 117
 
3.2%
Open Punctuation 111
 
3.0%
Close Punctuation 111
 
3.0%
Dash Punctuation 19
 
0.5%
Uppercase Letter 2
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 120
 
6.0%
서 119
 
5.9%
로 116
 
5.8%
광 112
 
5.6%
인 111
 
5.5%
천 111
 
5.5%
구 111
 
5.5%
시 111
 
5.5%
역 111
 
5.5%
층 67
 
3.3%
Other values (145) 916
45.7%
Decimal Number
ValueCountFrequency (%)
1 130
20.4%
2 101
15.9%
3 88
13.8%
0 79
12.4%
4 52
 
8.2%
6 47
 
7.4%
5 42
 
6.6%
9 37
 
5.8%
8 32
 
5.0%
7 28
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
638
100.0%
Other Punctuation
ValueCountFrequency (%)
. 117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2005
55.1%
Common 1632
44.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 120
 
6.0%
서 119
 
5.9%
로 116
 
5.8%
광 112
 
5.6%
인 111
 
5.5%
천 111
 
5.5%
구 111
 
5.5%
시 111
 
5.5%
역 111
 
5.5%
층 67
 
3.3%
Other values (145) 916
45.7%
Common
ValueCountFrequency (%)
638
39.1%
1 130
 
8.0%
. 117
 
7.2%
( 111
 
6.8%
) 111
 
6.8%
2 101
 
6.2%
3 88
 
5.4%
0 79
 
4.8%
4 52
 
3.2%
6 47
 
2.9%
Other values (5) 158
 
9.7%
Latin
ValueCountFrequency (%)
B 1
33.3%
A 1
33.3%
e 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2005
55.1%
ASCII 1635
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
638
39.0%
1 130
 
8.0%
. 117
 
7.2%
( 111
 
6.8%
) 111
 
6.8%
2 101
 
6.2%
3 88
 
5.4%
0 79
 
4.8%
4 52
 
3.2%
6 47
 
2.9%
Other values (8) 161
 
9.8%
Hangul
ValueCountFrequency (%)
동 120
 
6.0%
서 119
 
5.9%
로 116
 
5.8%
광 112
 
5.6%
인 111
 
5.5%
천 111
 
5.5%
구 111
 
5.5%
시 111
 
5.5%
역 111
 
5.5%
층 67
 
3.3%
Other values (145) 916
45.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
Minimum2022-08-31 00:00:00
Maximum2022-08-31 00:00:00
2024-03-18T11:01:16.949302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:01:17.021990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T11:01:15.522096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-18T11:01:15.603345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:01:15.672213image/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

연번법인명소재지(도로명)데이터기준일자
01(주)에이치와이에이치인천광역시 서구 크리스탈로74번길 31. 월드프라자 306호 (청라동)2022-08-31
12키움인력인천광역시 서구 길주로 106. 2층 (석남동)2022-08-31
23참사랑어머니회인천광역시 서구 완정로 163. 트리풀타워 에이동 10층 1002-5호 (왕길동)2022-08-31
34일가자 전기인력(1호점)인천광역시 서구 백범로910번길 19. A동 102호 (가좌동)2022-08-31
45현대직업소개소인천광역시 서구 승학로216번길 1. 202호 (심곡동)2022-08-31
56사임당산후도우미인천광역시 서구 원적로47번길 6. 103동 상가층 127호 (가좌동. 풍림아파트)2022-08-31
67잡마켓인천광역시 서구 건지로 411. 범양아파트 상가동 지하층 11호 (가좌동)2022-08-31
78피피에이치알인천광역시 서구 청라한내로 90. 13층 02호 (청라동)2022-08-31
89새빛인력인천광역시 서구 원당대로840번길 5. 장원프라자 5층 07-1호 (당하동)2022-08-31
910대한간병사협회인천광역시 서구 신석로 97. 301호 (석남동)2022-08-31
연번법인명소재지(도로명)데이터기준일자
101102365 인력개발인천광역시 서구 완정로 186. 2층 (마전동)2022-08-31
102103롯데종합인력인천광역시 서구 검단로459번길 9. 롯데프라자 5층 (왕길동)2022-08-31
103104예스맨인천광역시 서구 완정로 218. 하나아파트 상가동 2층 201호 (금곡동)2022-08-31
104105덕성직업소개소인천광역시 서구 가정로 415 (신현동)2022-08-31
105106인천서구여성인력개발센터인천광역시 서구 가정로 350 (가정동)2022-08-31
106107월드인력공사인천광역시 서구 원창로 196. 3층 301호 (신현동)2022-08-31
107108국도인력공사인천광역시 서구 가정로 340 (가정동)2022-08-31
108109참사랑간병인협회인천광역시 서구 가정로 384. 3층 301호 (가정동. 가정뉴타운상가조합)2022-08-31
109110삼우인력개발인천광역시 서구 가정로 194-2 (석남동)2022-08-31
110111녹색직업소개소인천광역시 서구 가정로 216. 402호 (석남동. 신화메트로타운)2022-08-31