Overview

Dataset statistics

Number of variables5
Number of observations68
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory42.9 B

Variable types

Numeric1
Text2
Categorical1
DateTime1

Dataset

Description인천광역시 서구 내의 노동조합 현황 정보 (노동조합단체명, 사업장명, 소재지, 데이터기준일자 등) 에 관하여 데이터 파일을 제공합니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15039933/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 16:33:14.804487
Analysis finished2023-12-12 16:33:15.375156
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.5
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-13T01:33:15.446307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.35
Q117.75
median34.5
Q351.25
95-th percentile64.65
Maximum68
Range67
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation19.77372
Coefficient of variation (CV)0.5731513
Kurtosis-1.2
Mean34.5
Median Absolute Deviation (MAD)17
Skewness0
Sum2346
Variance391
MonotonicityStrictly increasing
2023-12-13T01:33:15.651980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
45 1
 
1.5%
51 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
44 1
 
1.5%
36 1
 
1.5%
Other values (58) 58
85.3%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
68 1
1.5%
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-12-13T01:33:15.883452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length10.544118
Min length5

Characters and Unicode

Total characters717
Distinct characters141
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)100.0%

Sample

1st row신원운수노동조합
2nd row한국노총한미노동조합
3rd row인천마니교통우리노동조합
4th row하임교통노동조합
5th row해성운수(주)가좌지점기업노동조합
ValueCountFrequency (%)
노동조합 23
 
24.2%
신원운수노동조합 1
 
1.1%
화신교통노동조합 1
 
1.1%
차파트너스 1
 
1.1%
신원운수(주)노동조합 1
 
1.1%
sk인천석유화학노동조합 1
 
1.1%
에이치제이중공업준설 1
 
1.1%
한국노총한미노동조합 1
 
1.1%
나은병원노동조합 1
 
1.1%
재인기업노동조합 1
 
1.1%
Other values (63) 63
66.3%
2023-12-13T01:33:16.296211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
9.8%
70
 
9.8%
69
 
9.6%
68
 
9.5%
27
 
3.8%
17
 
2.4%
) 16
 
2.2%
( 16
 
2.2%
14
 
2.0%
14
 
2.0%
Other values (131) 336
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 650
90.7%
Space Separator 27
 
3.8%
Close Punctuation 16
 
2.2%
Open Punctuation 16
 
2.2%
Uppercase Letter 6
 
0.8%
Decimal Number 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
70
 
10.8%
70
 
10.8%
69
 
10.6%
68
 
10.5%
17
 
2.6%
14
 
2.2%
14
 
2.2%
13
 
2.0%
13
 
2.0%
10
 
1.5%
Other values (121) 292
44.9%
Uppercase Letter
ValueCountFrequency (%)
L 2
33.3%
G 1
16.7%
K 1
16.7%
S 1
16.7%
T 1
16.7%
Space Separator
ValueCountFrequency (%)
27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 650
90.7%
Common 61
 
8.5%
Latin 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
70
 
10.8%
70
 
10.8%
69
 
10.6%
68
 
10.5%
17
 
2.6%
14
 
2.2%
14
 
2.2%
13
 
2.0%
13
 
2.0%
10
 
1.5%
Other values (121) 292
44.9%
Common
ValueCountFrequency (%)
27
44.3%
) 16
26.2%
( 16
26.2%
1 1
 
1.6%
/ 1
 
1.6%
Latin
ValueCountFrequency (%)
L 2
33.3%
G 1
16.7%
K 1
16.7%
S 1
16.7%
T 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 650
90.7%
ASCII 67
 
9.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
70
 
10.8%
70
 
10.8%
69
 
10.6%
68
 
10.5%
17
 
2.6%
14
 
2.2%
14
 
2.2%
13
 
2.0%
13
 
2.0%
10
 
1.5%
Other values (121) 292
44.9%
ASCII
ValueCountFrequency (%)
27
40.3%
) 16
23.9%
( 16
23.9%
L 2
 
3.0%
G 1
 
1.5%
K 1
 
1.5%
S 1
 
1.5%
1 1
 
1.5%
T 1
 
1.5%
/ 1
 
1.5%
Distinct59
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-12-13T01:33:16.587512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length6.8088235
Min length2

Characters and Unicode

Total characters463
Distinct characters130
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)77.9%

Sample

1st row신원운수
2nd row한미교통
3rd row인천마니교통(원창동 지점)
4th row하임교통
5th row해성운수(주)가좌지점
ValueCountFrequency (%)
세운교통(주 4
 
5.5%
주)신화여객 3
 
4.1%
한미교통 2
 
2.7%
마니교통(주 2
 
2.7%
인천광역시서구시설관리공단 2
 
2.7%
시영운수(주 2
 
2.7%
주)한진준공업건설 1
 
1.4%
우일운수 1
 
1.4%
화신교통 1
 
1.4%
재인기업 1
 
1.4%
Other values (54) 54
74.0%
2023-12-13T01:33:16.992374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
6.3%
( 28
 
6.0%
) 28
 
6.0%
21
 
4.5%
17
 
3.7%
16
 
3.5%
16
 
3.5%
10
 
2.2%
9
 
1.9%
8
 
1.7%
Other values (120) 281
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 390
84.2%
Open Punctuation 28
 
6.0%
Close Punctuation 28
 
6.0%
Uppercase Letter 7
 
1.5%
Space Separator 5
 
1.1%
Lowercase Letter 4
 
0.9%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
7.4%
21
 
5.4%
17
 
4.4%
16
 
4.1%
16
 
4.1%
10
 
2.6%
9
 
2.3%
8
 
2.1%
8
 
2.1%
8
 
2.1%
Other values (108) 248
63.6%
Uppercase Letter
ValueCountFrequency (%)
M 2
28.6%
G 2
28.6%
L 1
14.3%
K 1
14.3%
S 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
a 2
50.0%
g 1
25.0%
n 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 390
84.2%
Common 62
 
13.4%
Latin 11
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
7.4%
21
 
5.4%
17
 
4.4%
16
 
4.1%
16
 
4.1%
10
 
2.6%
9
 
2.3%
8
 
2.1%
8
 
2.1%
8
 
2.1%
Other values (108) 248
63.6%
Latin
ValueCountFrequency (%)
a 2
18.2%
M 2
18.2%
G 2
18.2%
L 1
9.1%
K 1
9.1%
S 1
9.1%
g 1
9.1%
n 1
9.1%
Common
ValueCountFrequency (%)
( 28
45.2%
) 28
45.2%
5
 
8.1%
1 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 390
84.2%
ASCII 73
 
15.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
29
 
7.4%
21
 
5.4%
17
 
4.4%
16
 
4.1%
16
 
4.1%
10
 
2.6%
9
 
2.3%
8
 
2.1%
8
 
2.1%
8
 
2.1%
Other values (108) 248
63.6%
ASCII
ValueCountFrequency (%)
( 28
38.4%
) 28
38.4%
5
 
6.8%
a 2
 
2.7%
M 2
 
2.7%
G 2
 
2.7%
L 1
 
1.4%
K 1
 
1.4%
S 1
 
1.4%
g 1
 
1.4%
Other values (2) 2
 
2.7%

소재지
Categorical

Distinct12
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size676.0 B
인천광역시 서구 가좌동
25 
인천광역시 서구 석남동
14 
인천광역시 서구 원창동
인천광역시 서구 경서동
인천광역시 서구 오류동
Other values (7)
11 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique3 ?
Unique (%)4.4%

Sample

1st row인천광역시 서구 가좌동
2nd row인천광역시 서구 석남동
3rd row인천광역시 서구 청라동
4th row인천광역시 서구 가좌동
5th row인천광역시 서구 석남동

Common Values

ValueCountFrequency (%)
인천광역시 서구 가좌동 25
36.8%
인천광역시 서구 석남동 14
20.6%
인천광역시 서구 원창동 9
 
13.2%
인천광역시 서구 경서동 6
 
8.8%
인천광역시 서구 오류동 3
 
4.4%
인천광역시 서구 청라동 2
 
2.9%
인천광역시 서구 심곡동 2
 
2.9%
인천광역시 서구 백석동 2
 
2.9%
인천광역시 서구 연희동 2
 
2.9%
인천광역시 서구 가정동 1
 
1.5%
Other values (2) 2
 
2.9%

Length

2023-12-13T01:33:17.142155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인천광역시 68
33.3%
서구 68
33.3%
가좌동 25
 
12.3%
석남동 14
 
6.9%
원창동 9
 
4.4%
경서동 6
 
2.9%
오류동 3
 
1.5%
청라동 2
 
1.0%
심곡동 2
 
1.0%
백석동 2
 
1.0%
Other values (4) 5
 
2.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
Minimum2023-10-17 00:00:00
Maximum2023-10-17 00:00:00
2023-12-13T01:33:17.238361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:33:17.344666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:33:15.075603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:33:17.420835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번노동조합단체명사업장명소재지
연번1.0001.0000.7920.000
노동조합단체명1.0001.0001.0001.000
사업장명0.7921.0001.0000.914
소재지0.0001.0000.9141.000
2023-12-13T01:33:17.515018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지
연번1.0000.000
소재지0.0001.000

Missing values

2023-12-13T01:33:15.211435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:33:15.335636image/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

연번노동조합단체명사업장명소재지데이터기준일자
01신원운수노동조합신원운수인천광역시 서구 가좌동2023-10-17
12한국노총한미노동조합한미교통인천광역시 서구 석남동2023-10-17
23인천마니교통우리노동조합인천마니교통(원창동 지점)인천광역시 서구 청라동2023-10-17
34하임교통노동조합하임교통인천광역시 서구 가좌동2023-10-17
45해성운수(주)가좌지점기업노동조합해성운수(주)가좌지점인천광역시 서구 석남동2023-10-17
56삼양사 전분당 T/L 노동조합삼양사 인천제1공장인천광역시 서구 가좌동2023-10-17
67전국연합노동조합연맹 한국새마을금고노동조합MG새마을금고 서인천인천광역시 서구 심곡동2023-10-17
78국제성모병원노동조합국제성모병원인천광역시 서구 심곡동2023-10-17
89명진교통(주)더나은노동조합명진교통(주)인천광역시 서구 가좌동2023-10-17
910삼우운수 노동조합삼우운수 합자회사인천광역시 서구 석남동2023-10-17
연번노동조합단체명사업장명소재지데이터기준일자
5859대명운수노동조합대명운수인천광역시 서구 가좌동2023-10-17
5960포스코인터내셔널 노동조합포스코에너지주식회사인천광역시 서구 원창동2023-10-17
6061부광교통 노동조합부광교통인천광역시 서구 석남동2023-10-17
6162(주)포레스코노동조합주식회사포레스코인천광역시 서구 가좌동2023-10-17
6263(주)청우하이드로노동조합(주)청우하이드로인천광역시 서구 경서동2023-10-17
6364삼양사인천1공장노동조합삼양제넥스인천광역시 서구 가좌동2023-10-17
6465성산운수노동조합성산운수인천광역시 서구 가좌동2023-10-17
6566대덕택시노동조합대덕택시인천광역시 서구 석남동2023-10-17
6667공성교통노동조합공성교통인천광역시 서구 가좌동2023-10-17
6768태성환경 노동조합태성환경인천광역시 서구 오류동2023-10-17