Overview

Dataset statistics

Number of variables6
Number of observations114
Missing cells105
Missing cells (%)15.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory50.2 B

Variable types

Numeric1
Categorical1
Text3
DateTime1

Dataset

Description해당 데이터는 인천광역시 남동구의 각종 위원회 현황에 관련된 자료로서, 인천광역시 남동구 각종 위원회 현황의 연번, 담당부서, 위원회명, 근거 법규명, 비고의 정보를 확인할 수 있다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105594&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 담당부서High correlation
담당부서 is highly overall correlated with 연번High correlation
비고 has 105 (92.1%) missing valuesMissing
연번 has unique valuesUnique
위원회명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 06:13:34.282312
Analysis finished2024-03-13 06:13:34.907202
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.5
Minimum1
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-13T15:13:34.982058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.65
Q129.25
median57.5
Q385.75
95-th percentile108.35
Maximum114
Range113
Interquartile range (IQR)56.5

Descriptive statistics

Standard deviation33.052988
Coefficient of variation (CV)0.57483457
Kurtosis-1.2
Mean57.5
Median Absolute Deviation (MAD)28.5
Skewness0
Sum6555
Variance1092.5
MonotonicityStrictly increasing
2024-03-13T15:13:35.134109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
87 1
 
0.9%
85 1
 
0.9%
84 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%
Other values (104) 104
91.2%
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 (%)
114 1
0.9%
113 1
0.9%
112 1
0.9%
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%

담당부서
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
기획예산과
11 
총무과
10 
여성가족과
 
7
평생교육과
 
6
안전총괄과
 
5
Other values (32)
75 

Length

Max length10
Median length5
Mean length4.9035088
Min length3

Unique

Unique12 ?
Unique (%)10.5%

Sample

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

Common Values

ValueCountFrequency (%)
기획예산과 11
 
9.6%
총무과 10
 
8.8%
여성가족과 7
 
6.1%
평생교육과 6
 
5.3%
안전총괄과 5
 
4.4%
토지정보과 5
 
4.4%
복지정책과 5
 
4.4%
생활경제과 5
 
4.4%
아동복지과 5
 
4.4%
노인장애인과 4
 
3.5%
Other values (27) 51
44.7%

Length

2024-03-13T15:13:35.322359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기획예산과 11
 
9.6%
총무과 10
 
8.8%
여성가족과 7
 
6.1%
평생교육과 6
 
5.3%
안전총괄과 5
 
4.4%
토지정보과 5
 
4.4%
복지정책과 5
 
4.4%
생활경제과 5
 
4.4%
아동복지과 5
 
4.4%
기업지원과 4
 
3.5%
Other values (27) 51
44.7%

위원회명
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-13T15:13:35.563429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21.5
Mean length10.798246
Min length5

Characters and Unicode

Total characters1231
Distinct characters195
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)100.0%

Sample

1st row정책자문위원회
2nd row자체평가위원회
3rd row조례규칙심의회
4th row행정규제개혁위원회
5th row공무국외여행심사위원회
ValueCountFrequency (%)
남동구 15
 
9.3%
심의위원회 5
 
3.1%
운영위원회 4
 
2.5%
선정위원회 2
 
1.2%
위원회 2
 
1.2%
장애인복지위원회 1
 
0.6%
의료급여심의위원회 1
 
0.6%
경로당운영위원회 1
 
0.6%
장기요양기관 1
 
0.6%
지정 1
 
0.6%
Other values (129) 129
79.6%
2024-03-13T15:13:35.897749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 115
 
9.3%
원 96
 
7.8%
위 91
 
7.4%
의 54
 
4.4%
48
 
3.9%
심 40
 
3.2%
동 31
 
2.5%
정 27
 
2.2%
지 27
 
2.2%
남 22
 
1.8%
Other values (185) 680
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1177
95.6%
Space Separator 48
 
3.9%
Other Punctuation 4
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 115
 
9.8%
원 96
 
8.2%
위 91
 
7.7%
의 54
 
4.6%
심 40
 
3.4%
동 31
 
2.6%
정 27
 
2.3%
지 27
 
2.3%
남 22
 
1.9%
구 22
 
1.9%
Other values (180) 652
55.4%
Other Punctuation
ValueCountFrequency (%)
· 2
50.0%
, 2
50.0%
Space Separator
ValueCountFrequency (%)
48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1177
95.6%
Common 54
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 115
 
9.8%
원 96
 
8.2%
위 91
 
7.7%
의 54
 
4.6%
심 40
 
3.4%
동 31
 
2.6%
정 27
 
2.3%
지 27
 
2.3%
남 22
 
1.9%
구 22
 
1.9%
Other values (180) 652
55.4%
Common
ValueCountFrequency (%)
48
88.9%
· 2
 
3.7%
, 2
 
3.7%
( 1
 
1.9%
) 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1177
95.6%
ASCII 52
 
4.2%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 115
 
9.8%
원 96
 
8.2%
위 91
 
7.7%
의 54
 
4.6%
심 40
 
3.4%
동 31
 
2.6%
정 27
 
2.3%
지 27
 
2.3%
남 22
 
1.9%
구 22
 
1.9%
Other values (180) 652
55.4%
ASCII
ValueCountFrequency (%)
48
92.3%
, 2
 
3.8%
( 1
 
1.9%
) 1
 
1.9%
None
ValueCountFrequency (%)
· 2
100.0%

근거 법규명
Text

Distinct111
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-13T15:13:36.146635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length34
Mean length22.640351
Min length7

Characters and Unicode

Total characters2581
Distinct characters216
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)94.7%

Sample

1st row지방자치법 제116조의2
2nd row정부업무평가기본법 제 18조
3rd row지방자치법시행령 제28조
4th row남동구행정규제개혁위원회구성및운영에관한조례 제1조
5th row남동구공무국외여행규정 제4조의2
ValueCountFrequency (%)
관한 42
 
7.5%
남동구 39
 
7.0%
및 39
 
7.0%
조례 38
 
6.8%
법률 16
 
2.9%
설치 9
 
1.6%
지원에 7
 
1.2%
제8조 7
 
1.2%
운영 6
 
1.1%
제7조 6
 
1.1%
Other values (253) 352
62.7%
2024-03-13T15:13:36.572917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
448
 
17.4%
조 183
 
7.1%
제 132
 
5.1%
법 69
 
2.7%
관 67
 
2.6%
동 59
 
2.3%
구 57
 
2.2%
지 53
 
2.1%
례 52
 
2.0%
1 50
 
1.9%
Other values (206) 1411
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1867
72.3%
Space Separator 448
 
17.4%
Decimal Number 227
 
8.8%
Math Symbol 11
 
0.4%
Other Punctuation 10
 
0.4%
Close Punctuation 9
 
0.3%
Open Punctuation 9
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 183
 
9.8%
제 132
 
7.1%
법 69
 
3.7%
관 67
 
3.6%
동 59
 
3.2%
구 57
 
3.1%
지 53
 
2.8%
례 52
 
2.8%
남 49
 
2.6%
한 46
 
2.5%
Other values (189) 1100
58.9%
Decimal Number
ValueCountFrequency (%)
1 50
22.0%
2 36
15.9%
3 27
11.9%
4 25
11.0%
6 19
 
8.4%
5 17
 
7.5%
8 16
 
7.0%
7 14
 
6.2%
0 13
 
5.7%
9 10
 
4.4%
Math Symbol
ValueCountFrequency (%)
+ 10
90.9%
~ 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
· 6
60.0%
, 4
40.0%
Space Separator
ValueCountFrequency (%)
448
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1867
72.3%
Common 714
 
27.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 183
 
9.8%
제 132
 
7.1%
법 69
 
3.7%
관 67
 
3.6%
동 59
 
3.2%
구 57
 
3.1%
지 53
 
2.8%
례 52
 
2.8%
남 49
 
2.6%
한 46
 
2.5%
Other values (189) 1100
58.9%
Common
ValueCountFrequency (%)
448
62.7%
1 50
 
7.0%
2 36
 
5.0%
3 27
 
3.8%
4 25
 
3.5%
6 19
 
2.7%
5 17
 
2.4%
8 16
 
2.2%
7 14
 
2.0%
0 13
 
1.8%
Other values (7) 49
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1865
72.3%
ASCII 708
 
27.4%
None 6
 
0.2%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
448
63.3%
1 50
 
7.1%
2 36
 
5.1%
3 27
 
3.8%
4 25
 
3.5%
6 19
 
2.7%
5 17
 
2.4%
8 16
 
2.3%
7 14
 
2.0%
0 13
 
1.8%
Other values (6) 43
 
6.1%
Hangul
ValueCountFrequency (%)
조 183
 
9.8%
제 132
 
7.1%
법 69
 
3.7%
관 67
 
3.6%
동 59
 
3.2%
구 57
 
3.1%
지 53
 
2.8%
례 52
 
2.8%
남 49
 
2.6%
한 46
 
2.5%
Other values (188) 1098
58.9%
None
ValueCountFrequency (%)
· 6
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

비고
Text

MISSING 

Distinct7
Distinct (%)77.8%
Missing105
Missing (%)92.1%
Memory size1.0 KiB
2024-03-13T15:13:36.769448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length17
Mean length14.444444
Min length2

Characters and Unicode

Total characters130
Distinct characters67
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)55.6%

Sample

1st row동 주민자치회장 임기와 동일
2nd row신설
3rd row21.6.9. 위원회 명칭 변경
4th row구) 지역사회청소년통합 지원체계운영위원회
5th row사업 지침에 의거
ValueCountFrequency (%)
신설 3
 
10.7%
지침에 2
 
7.1%
의거 2
 
7.1%
사업 2
 
7.1%
지역사회청소년통합 1
 
3.6%
준용 1
 
3.6%
임기 1
 
3.6%
위원 1
 
3.6%
정해져있음(지방보육정책위원회 1
 
3.6%
위원임기가 1
 
3.6%
Other values (13) 13
46.4%
2024-03-13T15:13:37.096889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
14.6%
지 6
 
4.6%
원 6
 
4.6%
회 5
 
3.8%
위 5
 
3.8%
설 4
 
3.1%
. 4
 
3.1%
2 4
 
3.1%
신 3
 
2.3%
사 3
 
2.3%
Other values (57) 71
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95
73.1%
Space Separator 19
 
14.6%
Decimal Number 9
 
6.9%
Other Punctuation 4
 
3.1%
Close Punctuation 2
 
1.5%
Open Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6
 
6.3%
원 6
 
6.3%
회 5
 
5.3%
위 5
 
5.3%
설 4
 
4.2%
신 3
 
3.2%
사 3
 
3.2%
에 3
 
3.2%
기 3
 
3.2%
임 3
 
3.2%
Other values (48) 54
56.8%
Decimal Number
ValueCountFrequency (%)
2 4
44.4%
9 2
22.2%
0 1
 
11.1%
1 1
 
11.1%
6 1
 
11.1%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 95
73.1%
Common 35
 
26.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6
 
6.3%
원 6
 
6.3%
회 5
 
5.3%
위 5
 
5.3%
설 4
 
4.2%
신 3
 
3.2%
사 3
 
3.2%
에 3
 
3.2%
기 3
 
3.2%
임 3
 
3.2%
Other values (48) 54
56.8%
Common
ValueCountFrequency (%)
19
54.3%
. 4
 
11.4%
2 4
 
11.4%
9 2
 
5.7%
) 2
 
5.7%
( 1
 
2.9%
0 1
 
2.9%
1 1
 
2.9%
6 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 95
73.1%
ASCII 35
 
26.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
54.3%
. 4
 
11.4%
2 4
 
11.4%
9 2
 
5.7%
) 2
 
5.7%
( 1
 
2.9%
0 1
 
2.9%
1 1
 
2.9%
6 1
 
2.9%
Hangul
ValueCountFrequency (%)
지 6
 
6.3%
원 6
 
6.3%
회 5
 
5.3%
위 5
 
5.3%
설 4
 
4.2%
신 3
 
3.2%
사 3
 
3.2%
에 3
 
3.2%
기 3
 
3.2%
임 3
 
3.2%
Other values (48) 54
56.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2024-03-13T15:13:37.221454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:13:37.318414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-13T15:13:34.640469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T15:13:37.395666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번담당부서비고
연번1.0000.9840.657
담당부서0.9841.0000.846
비고0.6570.8461.000
2024-03-13T15:13:37.498478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번담당부서
연번1.0000.757
담당부서0.7571.000

Missing values

2024-03-13T15:13:34.755301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T15:13:34.860940image/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

연번담당부서위원회명근거 법규명비고데이터기준일
01기획예산과정책자문위원회지방자치법 제116조의2<NA>2022-12-31
12기획예산과자체평가위원회정부업무평가기본법 제 18조<NA>2022-12-31
23기획예산과조례규칙심의회지방자치법시행령 제28조<NA>2022-12-31
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