Overview

Dataset statistics

Number of variables5
Number of observations43
Missing cells2
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory46.1 B

Variable types

Numeric3
Text2

Dataset

Description인천광역시 미추홀구 내에서 등록하여 운영중인 노동조합 현황으로 연번, 기관명, 도로명주소 , 좌표값 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15060862/fileData.do

Alerts

위도 has 1 (2.3%) missing valuesMissing
경도 has 1 (2.3%) missing valuesMissing
연번 has unique valuesUnique
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:24:03.124321
Analysis finished2023-12-12 21:24:04.534068
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T06:24:04.611474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.1
Q111.5
median22
Q332.5
95-th percentile40.9
Maximum43
Range42
Interquartile range (IQR)21

Descriptive statistics

Standard deviation12.556539
Coefficient of variation (CV)0.57075176
Kurtosis-1.2
Mean22
Median Absolute Deviation (MAD)11
Skewness0
Sum946
Variance157.66667
MonotonicityStrictly increasing
2023-12-13T06:24:04.721391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 1
 
2.3%
2 1
 
2.3%
25 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%
34 1
2.3%

기관명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T06:24:04.928912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length11.976744
Min length6

Characters and Unicode

Total characters515
Distinct characters109
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row해성운수 노동조합
2nd row한국가스해운 노동조합
3rd row경영기업노동조합
4th row미추홀구시설관리공단 어울림 노동조합
5th row삼정복지노동조합
ValueCountFrequency (%)
노동조합 28
34.6%
해성운수 1
 
1.2%
주)이건창호시스템 1
 
1.2%
한국노총 1
 
1.2%
전국연합노동조합연맹 1
 
1.2%
천산환경 1
 
1.2%
금산운수 1
 
1.2%
신성교통 1
 
1.2%
삼우운수 1
 
1.2%
인천미추홀구시설관리공단 1
 
1.2%
Other values (44) 44
54.3%
2023-12-13T06:24:05.279598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 48
 
9.3%
노 48
 
9.3%
합 47
 
9.1%
조 45
 
8.7%
38
 
7.4%
국 12
 
2.3%
인 11
 
2.1%
수 10
 
1.9%
운 10
 
1.9%
시 9
 
1.7%
Other values (99) 237
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 467
90.7%
Space Separator 38
 
7.4%
Close Punctuation 5
 
1.0%
Open Punctuation 5
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 48
 
10.3%
노 48
 
10.3%
합 47
 
10.1%
조 45
 
9.6%
국 12
 
2.6%
인 11
 
2.4%
수 10
 
2.1%
운 10
 
2.1%
시 9
 
1.9%
공 8
 
1.7%
Other values (96) 219
46.9%
Space Separator
ValueCountFrequency (%)
38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
90.7%
Common 48
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 48
 
10.3%
노 48
 
10.3%
합 47
 
10.1%
조 45
 
9.6%
국 12
 
2.6%
인 11
 
2.4%
수 10
 
2.1%
운 10
 
2.1%
시 9
 
1.9%
공 8
 
1.7%
Other values (96) 219
46.9%
Common
ValueCountFrequency (%)
38
79.2%
) 5
 
10.4%
( 5
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 467
90.7%
ASCII 48
 
9.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 48
 
10.3%
노 48
 
10.3%
합 47
 
10.1%
조 45
 
9.6%
국 12
 
2.6%
인 11
 
2.4%
수 10
 
2.1%
운 10
 
2.1%
시 9
 
1.9%
공 8
 
1.7%
Other values (96) 219
46.9%
ASCII
ValueCountFrequency (%)
38
79.2%
) 5
 
10.4%
( 5
 
10.4%

도로명주소
Text

Distinct38
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-13T06:24:05.514724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length43
Mean length27.976744
Min length23

Characters and Unicode

Total characters1203
Distinct characters96
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

Unique34 ?
Unique (%)79.1%

Sample

1st row인천광역시 미추홀구 문화로 27 삼환아파트 지층 1호 (관교동)
2nd row인천광역시 미추홀구 경원대로640번길 20-7 (관교동)
3rd row인천광역시 미추홀구 염창로 124 (주안동)
4th row인천광역시 미추홀구 경인로51번길 21 미추홀구시설관리공단 (숭의동)
5th row인천광역시 미추홀구 인주대로 88 삼정기업 (용현동)
ValueCountFrequency (%)
인천광역시 43
18.7%
미추홀구 43
18.7%
주안동 16
 
7.0%
도화동 9
 
3.9%
학익동 6
 
2.6%
용현동 6
 
2.6%
인주대로 4
 
1.7%
숭의동 4
 
1.7%
100 4
 
1.7%
인하로 4
 
1.7%
Other values (72) 91
39.6%
2023-12-13T06:24:05.868559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
 
16.4%
인 59
 
4.9%
시 46
 
3.8%
미 45
 
3.7%
추 45
 
3.7%
홀 45
 
3.7%
천 45
 
3.7%
( 44
 
3.7%
구 44
 
3.7%
) 44
 
3.7%
Other values (86) 589
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 750
62.3%
Space Separator 197
 
16.4%
Decimal Number 163
 
13.5%
Open Punctuation 44
 
3.7%
Close Punctuation 44
 
3.7%
Dash Punctuation 4
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 59
 
7.9%
시 46
 
6.1%
미 45
 
6.0%
추 45
 
6.0%
홀 45
 
6.0%
천 45
 
6.0%
구 44
 
5.9%
광 43
 
5.7%
역 43
 
5.7%
로 43
 
5.7%
Other values (71) 292
38.9%
Decimal Number
ValueCountFrequency (%)
1 32
19.6%
2 28
17.2%
3 26
16.0%
0 20
12.3%
6 13
8.0%
8 10
 
6.1%
5 9
 
5.5%
9 9
 
5.5%
4 8
 
4.9%
7 8
 
4.9%
Space Separator
ValueCountFrequency (%)
197
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 750
62.3%
Common 452
37.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 59
 
7.9%
시 46
 
6.1%
미 45
 
6.0%
추 45
 
6.0%
홀 45
 
6.0%
천 45
 
6.0%
구 44
 
5.9%
광 43
 
5.7%
역 43
 
5.7%
로 43
 
5.7%
Other values (71) 292
38.9%
Common
ValueCountFrequency (%)
197
43.6%
( 44
 
9.7%
) 44
 
9.7%
1 32
 
7.1%
2 28
 
6.2%
3 26
 
5.8%
0 20
 
4.4%
6 13
 
2.9%
8 10
 
2.2%
5 9
 
2.0%
Other values (4) 29
 
6.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 750
62.3%
ASCII 453
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
43.5%
( 44
 
9.7%
) 44
 
9.7%
1 32
 
7.1%
2 28
 
6.2%
3 26
 
5.7%
0 20
 
4.4%
6 13
 
2.9%
8 10
 
2.2%
5 9
 
2.0%
Other values (5) 30
 
6.6%
Hangul
ValueCountFrequency (%)
인 59
 
7.9%
시 46
 
6.1%
미 45
 
6.0%
추 45
 
6.0%
홀 45
 
6.0%
천 45
 
6.0%
구 44
 
5.9%
광 43
 
5.7%
역 43
 
5.7%
로 43
 
5.7%
Other values (71) 292
38.9%

위도
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)85.7%
Missing1
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean37.460618
Minimum37.437646
Maximum37.482942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T06:24:06.027236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.437646
5-th percentile37.440707
Q137.451448
median37.462535
Q337.469692
95-th percentile37.479865
Maximum37.482942
Range0.04529618
Interquartile range (IQR)0.018244033

Descriptive statistics

Standard deviation0.01255888
Coefficient of variation (CV)0.00033525554
Kurtosis-0.88204502
Mean37.460618
Median Absolute Deviation (MAD)0.00939643
Skewness-0.15806645
Sum1573.346
Variance0.00015772546
MonotonicityNot monotonic
2023-12-13T06:24:06.162928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
37.45144803 4
 
9.3%
37.47915804 2
 
4.7%
37.46799947 2
 
4.7%
37.47990252 2
 
4.7%
37.47005761 1
 
2.3%
37.4570737 1
 
2.3%
37.47340597 1
 
2.3%
37.4686007 1
 
2.3%
37.44372107 1
 
2.3%
37.47227726 1
 
2.3%
Other values (26) 26
60.5%
ValueCountFrequency (%)
37.43764619 1
 
2.3%
37.43952015 1
 
2.3%
37.44069468 1
 
2.3%
37.44093701 1
 
2.3%
37.4410633 1
 
2.3%
37.4429547 1
 
2.3%
37.44372107 1
 
2.3%
37.4467057 1
 
2.3%
37.45144803 4
9.3%
37.45223116 1
 
2.3%
ValueCountFrequency (%)
37.48294237 1
2.3%
37.47990252 2
4.7%
37.47915804 2
4.7%
37.47479702 1
2.3%
37.47340597 1
2.3%
37.47227726 1
2.3%
37.47112984 1
2.3%
37.47005761 1
2.3%
37.47005585 1
2.3%
37.4686007 1
2.3%

경도
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)85.7%
Missing1
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean126.66697
Minimum126.6346
Maximum126.69757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-13T06:24:06.271322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.6346
5-th percentile126.64567
Q1126.65154
median126.67074
Q3126.67945
95-th percentile126.68946
Maximum126.69757
Range0.0629723
Interquartile range (IQR)0.02790475

Descriptive statistics

Standard deviation0.016439314
Coefficient of variation (CV)0.00012978374
Kurtosis-1.1352775
Mean126.66697
Median Absolute Deviation (MAD)0.0146283
Skewness0.012436981
Sum5320.0129
Variance0.00027025105
MonotonicityNot monotonic
2023-12-13T06:24:06.388597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
126.6515423 4
 
9.3%
126.6544215 2
 
4.7%
126.6743523 2
 
4.7%
126.6617945 2
 
4.7%
126.6840325 1
 
2.3%
126.648736 1
 
2.3%
126.67963 1
 
2.3%
126.671663 1
 
2.3%
126.6456049 1
 
2.3%
126.6722948 1
 
2.3%
Other values (26) 26
60.5%
ValueCountFrequency (%)
126.6345987 1
 
2.3%
126.6430071 1
 
2.3%
126.6456049 1
 
2.3%
126.6469274 1
 
2.3%
126.647131 1
 
2.3%
126.647895 1
 
2.3%
126.647963 1
 
2.3%
126.648736 1
 
2.3%
126.6515423 4
9.3%
126.6544215 2
4.7%
ValueCountFrequency (%)
126.697571 1
2.3%
126.6949495 1
2.3%
126.6894727 1
2.3%
126.6893012 1
2.3%
126.6888641 1
2.3%
126.6877244 1
2.3%
126.6852671 1
2.3%
126.6840325 1
2.3%
126.682444 1
2.3%
126.681286 1
2.3%

Interactions

2023-12-13T06:24:04.072468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:24:03.369019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:24:03.867680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:24:04.140400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:24:03.706450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:24:03.929794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:24:04.213741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:24:03.796498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:24:03.992768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:24:06.471651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명도로명주소위도경도
연번1.0001.0000.8280.3850.000
기관명1.0001.0001.0001.0001.000
도로명주소0.8281.0001.0001.0001.000
위도0.3851.0001.0001.0000.862
경도0.0001.0001.0000.8621.000
2023-12-13T06:24:06.563076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.4090.012
위도0.4091.0000.139
경도0.0120.1391.000

Missing values

2023-12-13T06:24:04.311287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:24:04.397949image/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.
2023-12-13T06:24:04.486711image/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

연번기관명도로명주소위도경도
01해성운수 노동조합인천광역시 미추홀구 문화로 27 삼환아파트 지층 1호 (관교동)37.441063126.697571
12한국가스해운 노동조합인천광역시 미추홀구 경원대로640번길 20-7 (관교동)37.440937126.69495
23경영기업노동조합인천광역시 미추홀구 염창로 124 (주안동)37.464677126.687724
34미추홀구시설관리공단 어울림 노동조합인천광역시 미추홀구 경인로51번길 21 미추홀구시설관리공단 (숭의동)37.465351126.647895
45삼정복지노동조합인천광역시 미추홀구 인주대로 88 삼정기업 (용현동)37.457042126.647131
56새삼화고속노동조합인천광역시 미추홀구 미추홀대로626번길 45-15 302호 (주안동 삼한빌리지)37.453484126.682444
67인천지방법원 환경노동조합인천광역시 미추홀구 소성로163번길 17 B103호 (학익동 인천지방법원)37.442955126.667244
78민주노총 전국공공운수노동조합 국일운수인천광역시 미추홀구 석정로351번길 9 (주안동)37.467999126.674352
89인하공업전문대학 직원 노동조합인천광역시 미추홀구 인하로 100 (학익동)37.451448126.651542
910경인방송라디오노동조합인천광역시 미추홀구 아암대로287번길 7 (학익동)37.437646126.634599
연번기관명도로명주소위도경도
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