Overview

Dataset statistics

Number of variables8
Number of observations120
Missing cells3
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory66.1 B

Variable types

Numeric1
Text2
Categorical4
DateTime1

Dataset

Description전라남도 광양시에서 운영하는 위원회 현황입니다. 위원회명, 기능, 설치근거 법령, 담당부서 등이 포함되어 있습니다.
URLhttps://www.data.go.kr/data/15102694/fileData.do

Alerts

데이터기준일 has constant value ""Constant
구분 is highly overall correlated with 담당부서High correlation
담당부서 is highly overall correlated with 구분High correlation
근거법령 has 3 (2.5%) missing valuesMissing
구분 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:43:18.276657
Analysis finished2023-12-12 03:43:19.403282
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct120
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.5
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T12:43:19.529672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.95
Q130.75
median60.5
Q390.25
95-th percentile114.05
Maximum120
Range119
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation34.785054
Coefficient of variation (CV)0.57495957
Kurtosis-1.2
Mean60.5
Median Absolute Deviation (MAD)30
Skewness0
Sum7260
Variance1210
MonotonicityStrictly increasing
2023-12-12T12:43:19.703083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
62 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
Other values (110) 110
91.7%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%

위원회명
Text

Distinct119
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T12:43:20.002473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length10.358333
Min length5

Characters and Unicode

Total characters1243
Distinct characters188
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)98.3%

Sample

1st row조례규칙심의회
2nd row시정조정위원회
3rd row재정계획심의위원회
4th row용역과제 심의·평가위원회
5th row투자심사위원회
ValueCountFrequency (%)
심의위원회 11
 
6.3%
운영위원회 5
 
2.9%
위원회 3
 
1.7%
추진위원회 3
 
1.7%
4차산업혁명위원회 2
 
1.1%
폐기물처리시설 2
 
1.1%
및 2
 
1.1%
농어민 1
 
0.6%
공중목욕장 1
 
0.6%
보건의료심의위원회 1
 
0.6%
Other values (143) 143
82.2%
2023-12-12T12:43:20.456255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 119
 
9.6%
원 117
 
9.4%
위 105
 
8.4%
54
 
4.3%
의 51
 
4.1%
심 40
 
3.2%
지 26
 
2.1%
정 22
 
1.8%
사 21
 
1.7%
관 19
 
1.5%
Other values (178) 669
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1181
95.0%
Space Separator 54
 
4.3%
Uppercase Letter 4
 
0.3%
Decimal Number 2
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 119
 
10.1%
원 117
 
9.9%
위 105
 
8.9%
의 51
 
4.3%
심 40
 
3.4%
지 26
 
2.2%
정 22
 
1.9%
사 21
 
1.8%
관 19
 
1.6%
시 18
 
1.5%
Other values (172) 643
54.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
V 1
25.0%
T 1
25.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Decimal Number
ValueCountFrequency (%)
4 2
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1181
95.0%
Common 58
 
4.7%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 119
 
10.1%
원 117
 
9.9%
위 105
 
8.9%
의 51
 
4.3%
심 40
 
3.4%
지 26
 
2.2%
정 22
 
1.9%
사 21
 
1.8%
관 19
 
1.6%
시 18
 
1.5%
Other values (172) 643
54.4%
Common
ValueCountFrequency (%)
54
93.1%
4 2
 
3.4%
· 2
 
3.4%
Latin
ValueCountFrequency (%)
C 2
50.0%
V 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1181
95.0%
ASCII 60
 
4.8%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 119
 
10.1%
원 117
 
9.9%
위 105
 
8.9%
의 51
 
4.3%
심 40
 
3.4%
지 26
 
2.2%
정 22
 
1.9%
사 21
 
1.8%
관 19
 
1.6%
시 18
 
1.5%
Other values (172) 643
54.4%
ASCII
ValueCountFrequency (%)
54
90.0%
C 2
 
3.3%
4 2
 
3.3%
V 1
 
1.7%
T 1
 
1.7%
None
ValueCountFrequency (%)
· 2
100.0%

기능
Categorical

Distinct2
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
심의, 의결
104 
심의
16 

Length

Max length6
Median length6
Mean length5.4666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row심의
2nd row심의, 의결
3rd row심의, 의결
4th row심의, 의결
5th row심의, 의결

Common Values

ValueCountFrequency (%)
심의, 의결 104
86.7%
심의 16
 
13.3%

Length

2023-12-12T12:43:20.679227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:43:20.821359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
심의 120
53.6%
의결 104
46.4%

설치근거
Categorical

Distinct4
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
법령
87 
조례
29 
<NA>
 
3
규정
 
1

Length

Max length4
Median length2
Mean length2.05
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row법령
2nd row법령
3rd row법령
4th row조례
5th row법령

Common Values

ValueCountFrequency (%)
법령 87
72.5%
조례 29
 
24.2%
<NA> 3
 
2.5%
규정 1
 
0.8%

Length

2023-12-12T12:43:20.975102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:43:21.121383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
법령 87
72.5%
조례 29
 
24.2%
na 3
 
2.5%
규정 1
 
0.8%

근거법령
Text

MISSING 

Distinct112
Distinct (%)95.7%
Missing3
Missing (%)2.5%
Memory size1.1 KiB
2023-12-12T12:43:21.424192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length27
Mean length16.435897
Min length5

Characters and Unicode

Total characters1923
Distinct characters207
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)92.3%

Sample

1st row지방자치법 시행령 제28조
2nd row지방자치법 제116조의2
3rd row지방재정법 제33조
4th row광양시연구용역관리조례 제4조
5th row지방재정법 제37조
ValueCountFrequency (%)
관한 28
 
6.7%
광양시 25
 
6.0%
및 25
 
6.0%
조례 19
 
4.6%
법률 19
 
4.6%
시행령 13
 
3.1%
제5조 7
 
1.7%
제6조 6
 
1.4%
지원에 6
 
1.4%
지방재정법 5
 
1.2%
Other values (210) 264
63.3%
2023-12-12T12:43:22.023691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
311
 
16.2%
조 114
 
5.9%
법 90
 
4.7%
제 88
 
4.6%
관 59
 
3.1%
시 53
 
2.8%
지 48
 
2.5%
한 38
 
2.0%
에 37
 
1.9%
광 33
 
1.7%
Other values (197) 1052
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1451
75.5%
Space Separator 311
 
16.2%
Decimal Number 147
 
7.6%
Other Punctuation 4
 
0.2%
Uppercase Letter 4
 
0.2%
Math Symbol 2
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 114
 
7.9%
법 90
 
6.2%
제 88
 
6.1%
관 59
 
4.1%
시 53
 
3.7%
지 48
 
3.3%
한 38
 
2.6%
에 37
 
2.5%
광 33
 
2.3%
및 32
 
2.2%
Other values (178) 859
59.2%
Decimal Number
ValueCountFrequency (%)
1 27
18.4%
3 23
15.6%
2 16
10.9%
5 15
10.2%
4 14
9.5%
6 13
8.8%
9 10
 
6.8%
7 10
 
6.8%
0 10
 
6.8%
8 9
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
T 1
25.0%
V 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
· 1
 
25.0%
Space Separator
ValueCountFrequency (%)
311
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1451
75.5%
Common 468
 
24.3%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 114
 
7.9%
법 90
 
6.2%
제 88
 
6.1%
관 59
 
4.1%
시 53
 
3.7%
지 48
 
3.3%
한 38
 
2.6%
에 37
 
2.5%
광 33
 
2.3%
및 32
 
2.2%
Other values (178) 859
59.2%
Common
ValueCountFrequency (%)
311
66.5%
1 27
 
5.8%
3 23
 
4.9%
2 16
 
3.4%
5 15
 
3.2%
4 14
 
3.0%
6 13
 
2.8%
9 10
 
2.1%
7 10
 
2.1%
0 10
 
2.1%
Other values (6) 19
 
4.1%
Latin
ValueCountFrequency (%)
C 2
50.0%
T 1
25.0%
V 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1450
75.4%
ASCII 471
 
24.5%
Compat Jamo 1
 
0.1%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
311
66.0%
1 27
 
5.7%
3 23
 
4.9%
2 16
 
3.4%
5 15
 
3.2%
4 14
 
3.0%
6 13
 
2.8%
9 10
 
2.1%
7 10
 
2.1%
0 10
 
2.1%
Other values (8) 22
 
4.7%
Hangul
ValueCountFrequency (%)
조 114
 
7.9%
법 90
 
6.2%
제 88
 
6.1%
관 59
 
4.1%
시 53
 
3.7%
지 48
 
3.3%
한 38
 
2.6%
에 37
 
2.6%
광 33
 
2.3%
및 32
 
2.2%
Other values (177) 858
59.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

위원장
Categorical

Distinct14
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
부시장
55 
시장
22 
민간
17 
비상설
11 
안전도시국장
 
4
Other values (9)
11 

Length

Max length8
Median length3
Mean length2.975
Min length2

Unique

Unique7 ?
Unique (%)5.8%

Sample

1st row시장
2nd row부시장
3rd row부시장
4th row부시장
5th row민간

Common Values

ValueCountFrequency (%)
부시장 55
45.8%
시장 22
 
18.3%
민간 17
 
14.2%
비상설 11
 
9.2%
안전도시국장 4
 
3.3%
총무국장 2
 
1.7%
교육보육센터소장 2
 
1.7%
비공개 1
 
0.8%
경제복지국장 1
 
0.8%
교통과장 1
 
0.8%
Other values (4) 4
 
3.3%

Length

2023-12-12T12:43:22.205707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부시장 55
45.8%
시장 22
 
18.3%
민간 17
 
14.2%
비상설 11
 
9.2%
안전도시국장 4
 
3.3%
총무국장 2
 
1.7%
교육보육센터소장 2
 
1.7%
비공개 1
 
0.8%
경제복지국장 1
 
0.8%
교통과장 1
 
0.8%
Other values (4) 4
 
3.3%

담당부서
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
기획예산실
13 
투자경제과
 
7
민원지적과
 
7
청년일자리과
 
6
안전과
 
6
Other values (34)
81 

Length

Max length6
Median length5
Mean length4.4083333
Min length3

Unique

Unique11 ?
Unique (%)9.2%

Sample

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

Common Values

ValueCountFrequency (%)
기획예산실 13
 
10.8%
투자경제과 7
 
5.8%
민원지적과 7
 
5.8%
청년일자리과 6
 
5.0%
안전과 6
 
5.0%
교통과 5
 
4.2%
총무과 5
 
4.2%
아동보육과 5
 
4.2%
교육청소년과 5
 
4.2%
문화예술과 5
 
4.2%
Other values (29) 56
46.7%

Length

2023-12-12T12:43:22.379770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기획예산실 13
 
10.8%
민원지적과 7
 
5.8%
투자경제과 7
 
5.8%
청년일자리과 6
 
5.0%
안전과 6
 
5.0%
교통과 5
 
4.2%
총무과 5
 
4.2%
아동보육과 5
 
4.2%
교육청소년과 5
 
4.2%
문화예술과 5
 
4.2%
Other values (29) 56
46.7%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2023-07-20 00:00:00
Maximum2023-07-20 00:00:00
2023-12-12T12:43:22.510562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:43:22.604128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T12:43:18.939660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:43:22.686512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기능설치근거위원장담당부서
구분1.0000.0000.4810.3450.992
기능0.0001.0000.1400.0740.000
설치근거0.4810.1401.0000.0000.433
위원장0.3450.0740.0001.0000.606
담당부서0.9920.0000.4330.6061.000
2023-12-12T12:43:22.798515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
담당부서기능위원장설치근거
담당부서1.0000.0000.1880.178
기능0.0001.0000.0460.229
위원장0.1880.0461.0000.000
설치근거0.1780.2290.0001.000
2023-12-12T12:43:22.922066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기능설치근거위원장담당부서
구분1.0000.0000.3190.1400.794
기능0.0001.0000.2290.0460.000
설치근거0.3190.2291.0000.0000.178
위원장0.1400.0460.0001.0000.188
담당부서0.7940.0000.1780.1881.000

Missing values

2023-12-12T12:43:19.125144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:43:19.336728image/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

구분위원회명기능설치근거근거법령위원장담당부서데이터기준일
01조례규칙심의회심의법령지방자치법 시행령 제28조시장기획예산실2023-07-20
12시정조정위원회심의, 의결법령지방자치법 제116조의2부시장기획예산실2023-07-20
23재정계획심의위원회심의, 의결법령지방재정법 제33조부시장기획예산실2023-07-20
34용역과제 심의·평가위원회심의, 의결조례광양시연구용역관리조례 제4조부시장기획예산실2023-07-20
45투자심사위원회심의, 의결법령지방재정법 제37조민간기획예산실2023-07-20
56예산성과심의위원회심의, 의결법령지방재정법 제48조부시장기획예산실2023-07-20
67출자·출연기관운영심의위원회심의, 의결법령지방자치단체 출자·출연기관의운영에 관한 법률 제6조 및 시행령 제4조부시장기획예산실2023-07-20
78주민참여예산편성 심의위원회심의, 의결법령지방재정법 제39조, 시행령 제46조민간기획예산실2023-07-20
89지방보조금관리위원회심의, 의결법령지방재정법 제32조의3민간기획예산실2023-07-20
910성과평가위원회심의, 의결법령정부업무평가 기본법부시장기획예산실2023-07-20
구분위원회명기능설치근거근거법령위원장담당부서데이터기준일
110111청년정책조정위원회심의, 의결조례광양시 청년 기본 조례시장청년일자리과2023-07-20
111112청년지원기관 실무협의체심의<NA><NA>청년일자리과장청년일자리과2023-07-20
112113마을공동체 만들기 위원회심의, 의결조례광양시 마을공동체만들기 지원에 관한 조례부시장청년일자리과2023-07-20
113114사회적경제육성위원회심의, 의결조례광양시 사회적경제 육성 및 지원에 관한 조례부시장청년일자리과2023-07-20
114115안전관리위원회심의, 의결법령재난및안전관리기본법시장안전과2023-07-20
115116안전관리 민관협력위원회심의, 의결법령재난및안전관리기본법부시장안전과2023-07-20
116117CCTV운영협의회심의규정광양시 CCTV 설치 및 운영 규정부시장안전과2023-07-20
117118재해영향평가 심의위원회심의, 의결법령자연재해대책법안전도시국장안전과2023-07-20
118119재난관리기금운용 심의위원회심의, 의결법령재난및안전관리기본법부시장안전과2023-07-20
119120지하안전위원회심의, 의결법령지하안전관리에관한특별법부시장안전과2023-07-20