Overview

Dataset statistics

Number of variables6
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory54.0 B

Variable types

Text4
Numeric2

Dataset

Description경상남도 진주시 소재 행정기관 및 공공기관 정보(읍면동사무소명, 소재지, 건축년도, 규모(연면적(㎡)), 전화번호) 제공
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15013808

Alerts

사무소명(주민센터)_현장민원실명 has unique valuesUnique
소재지 has unique valuesUnique
규모(전체면적) has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:34:51.033926
Analysis finished2023-12-10 23:34:51.793308
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동명
Text

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T08:34:51.956732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0909091
Min length3

Characters and Unicode

Total characters102
Distinct characters46
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)87.9%

Sample

1st row가호동
2nd row금곡면
3rd row금산면
4th row내동면
5th row대곡면
ValueCountFrequency (%)
천전동 2
 
6.1%
상봉동 2
 
6.1%
이현동 1
 
3.0%
가호동 1
 
3.0%
이반성면 1
 
3.0%
평거동 1
 
3.0%
판문동 1
 
3.0%
충무공동 1
 
3.0%
초장동 1
 
3.0%
집현면 1
 
3.0%
Other values (21) 21
63.6%
2023-12-11T08:34:52.316968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 17
 
16.7%
면 15
 
14.7%
상 4
 
3.9%
대 4
 
3.9%
성 4
 
3.9%
천 3
 
2.9%
봉 3
 
2.9%
곡 3
 
2.9%
평 3
 
2.9%
문 2
 
2.0%
Other values (36) 44
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 17
 
16.7%
면 15
 
14.7%
상 4
 
3.9%
대 4
 
3.9%
성 4
 
3.9%
천 3
 
2.9%
봉 3
 
2.9%
곡 3
 
2.9%
평 3
 
2.9%
문 2
 
2.0%
Other values (36) 44
43.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 17
 
16.7%
면 15
 
14.7%
상 4
 
3.9%
대 4
 
3.9%
성 4
 
3.9%
천 3
 
2.9%
봉 3
 
2.9%
곡 3
 
2.9%
평 3
 
2.9%
문 2
 
2.0%
Other values (36) 44
43.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 17
 
16.7%
면 15
 
14.7%
상 4
 
3.9%
대 4
 
3.9%
성 4
 
3.9%
천 3
 
2.9%
봉 3
 
2.9%
곡 3
 
2.9%
평 3
 
2.9%
문 2
 
2.0%
Other values (36) 44
43.1%

사무소명(주민센터)_현장민원실명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T08:34:52.574692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.3939394
Min length4

Characters and Unicode

Total characters244
Distinct characters58
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row가호동행정복지센터
2nd row금곡면사무소
3rd row금산면사무소
4th row내동면사무소
5th row대곡면사무소
ValueCountFrequency (%)
가호동행정복지센터 1
 
2.9%
진주시청 1
 
2.9%
이현동행정복지센터 1
 
2.9%
일반성면사무소 1
 
2.9%
정촌면사무소 1
 
2.9%
중앙동행정복지센터 1
 
2.9%
지수면사무소 1
 
2.9%
진성면사무소 1
 
2.9%
집현면사무소 1
 
2.9%
금곡면사무소 1
 
2.9%
Other values (24) 24
70.6%
2023-12-11T08:34:52.940734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 17
 
7.0%
무 17
 
7.0%
소 16
 
6.6%
동 15
 
6.1%
정 15
 
6.1%
지 15
 
6.1%
면 15
 
6.1%
행 14
 
5.7%
복 14
 
5.7%
센 14
 
5.7%
Other values (48) 92
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
99.6%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 17
 
7.0%
무 17
 
7.0%
소 16
 
6.6%
동 15
 
6.2%
정 15
 
6.2%
지 15
 
6.2%
면 15
 
6.2%
행 14
 
5.8%
복 14
 
5.8%
센 14
 
5.8%
Other values (47) 91
37.4%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
99.6%
Common 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 17
 
7.0%
무 17
 
7.0%
소 16
 
6.6%
동 15
 
6.2%
정 15
 
6.2%
지 15
 
6.2%
면 15
 
6.2%
행 14
 
5.8%
복 14
 
5.8%
센 14
 
5.8%
Other values (47) 91
37.4%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
99.6%
ASCII 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 17
 
7.0%
무 17
 
7.0%
소 16
 
6.6%
동 15
 
6.2%
정 15
 
6.2%
지 15
 
6.2%
면 15
 
6.2%
행 14
 
5.8%
복 14
 
5.8%
센 14
 
5.8%
Other values (47) 91
37.4%
ASCII
ValueCountFrequency (%)
1
100.0%

소재지
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T08:34:53.200592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length21.818182
Min length15

Characters and Unicode

Total characters720
Distinct characters87
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

Unique33 ?
Unique (%)100.0%

Sample

1st row경상남도 진주시 진주역로95번길 6(가좌동)
2nd row경상남도 진주시 금곡면 월아산로 140
3rd row경상남도 진주시 금산면 금산로 107
4th row경남 진주시 내동면 순환로 389
5th row경상남도 진주시 대곡면 진의로 1094
ValueCountFrequency (%)
경상남도 32
21.8%
진주시 32
21.8%
동부로 2
 
1.4%
동진로 2
 
1.4%
평거로 2
 
1.4%
지수면 1
 
0.7%
14(동성동 1
 
0.7%
진주대로1032번길 1
 
0.7%
57 1
 
0.7%
정촌로 1
 
0.7%
Other values (72) 72
49.0%
2023-12-11T08:34:53.650102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
16.9%
진 42
 
5.8%
상 37
 
5.1%
주 36
 
5.0%
경 35
 
4.9%
남 35
 
4.9%
도 32
 
4.4%
시 32
 
4.4%
로 31
 
4.3%
1 24
 
3.3%
Other values (77) 294
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 450
62.5%
Space Separator 122
 
16.9%
Decimal Number 113
 
15.7%
Open Punctuation 17
 
2.4%
Close Punctuation 17
 
2.4%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 42
 
9.3%
상 37
 
8.2%
주 36
 
8.0%
경 35
 
7.8%
남 35
 
7.8%
도 32
 
7.1%
시 32
 
7.1%
로 31
 
6.9%
동 24
 
5.3%
길 13
 
2.9%
Other values (63) 133
29.6%
Decimal Number
ValueCountFrequency (%)
1 24
21.2%
4 13
11.5%
5 13
11.5%
7 12
10.6%
3 11
9.7%
0 10
8.8%
9 10
8.8%
2 9
 
8.0%
8 8
 
7.1%
6 3
 
2.7%
Space Separator
ValueCountFrequency (%)
122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 450
62.5%
Common 270
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 42
 
9.3%
상 37
 
8.2%
주 36
 
8.0%
경 35
 
7.8%
남 35
 
7.8%
도 32
 
7.1%
시 32
 
7.1%
로 31
 
6.9%
동 24
 
5.3%
길 13
 
2.9%
Other values (63) 133
29.6%
Common
ValueCountFrequency (%)
122
45.2%
1 24
 
8.9%
( 17
 
6.3%
) 17
 
6.3%
4 13
 
4.8%
5 13
 
4.8%
7 12
 
4.4%
3 11
 
4.1%
0 10
 
3.7%
9 10
 
3.7%
Other values (4) 21
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 450
62.5%
ASCII 270
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
45.2%
1 24
 
8.9%
( 17
 
6.3%
) 17
 
6.3%
4 13
 
4.8%
5 13
 
4.8%
7 12
 
4.4%
3 11
 
4.1%
0 10
 
3.7%
9 10
 
3.7%
Other values (4) 21
 
7.8%
Hangul
ValueCountFrequency (%)
진 42
 
9.3%
상 37
 
8.2%
주 36
 
8.0%
경 35
 
7.8%
남 35
 
7.8%
도 32
 
7.1%
시 32
 
7.1%
로 31
 
6.9%
동 24
 
5.3%
길 13
 
2.9%
Other values (63) 133
29.6%

건축년도
Real number (ℝ)

Distinct23
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1998.0606
Minimum1972
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T08:34:53.849946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1972
5-th percentile1979
Q11989
median1998
Q32008
95-th percentile2020
Maximum2022
Range50
Interquartile range (IQR)19

Descriptive statistics

Standard deviation12.881526
Coefficient of variation (CV)0.0064470147
Kurtosis-0.67437769
Mean1998.0606
Median Absolute Deviation (MAD)9
Skewness0.029641148
Sum65936
Variance165.93371
MonotonicityNot monotonic
2023-12-11T08:34:53.979565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2009 3
 
9.1%
1998 3
 
9.1%
1990 2
 
6.1%
2006 2
 
6.1%
1989 2
 
6.1%
1994 2
 
6.1%
2020 2
 
6.1%
1979 2
 
6.1%
1999 1
 
3.0%
2012 1
 
3.0%
Other values (13) 13
39.4%
ValueCountFrequency (%)
1972 1
3.0%
1979 2
6.1%
1980 1
3.0%
1983 1
3.0%
1986 1
3.0%
1987 1
3.0%
1989 2
6.1%
1990 2
6.1%
1992 1
3.0%
1993 1
3.0%
ValueCountFrequency (%)
2022 1
 
3.0%
2020 2
6.1%
2015 1
 
3.0%
2012 1
 
3.0%
2009 3
9.1%
2008 1
 
3.0%
2006 2
6.1%
2005 1
 
3.0%
2004 1
 
3.0%
2001 1
 
3.0%

규모(전체면적)
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2669.7545
Minimum344.25
Maximum56421.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T08:34:54.201998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum344.25
5-th percentile485.05
Q1785.73
median873
Q31224.78
95-th percentile1797.42
Maximum56421.44
Range56077.19
Interquartile range (IQR)439.05

Descriptive statistics

Standard deviation9656.2378
Coefficient of variation (CV)3.616901
Kurtosis32.897162
Mean2669.7545
Median Absolute Deviation (MAD)175.52
Skewness5.7315643
Sum88101.9
Variance93242928
MonotonicityNot monotonic
2023-12-11T08:34:54.337256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1347.46 1
 
3.0%
850.95 1
 
3.0%
1595.89 1
 
3.0%
903.24 1
 
3.0%
766.52 1
 
3.0%
715.78 1
 
3.0%
1449.32 1
 
3.0%
56421.44 1
 
3.0%
873.0 1
 
3.0%
588.09 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
344.25 1
3.0%
367.27 1
3.0%
563.57 1
3.0%
588.09 1
3.0%
687.0 1
3.0%
715.78 1
3.0%
749.23 1
3.0%
766.52 1
3.0%
785.73 1
3.0%
797.39 1
3.0%
ValueCountFrequency (%)
56421.44 1
3.0%
1853.88 1
3.0%
1759.78 1
3.0%
1595.89 1
3.0%
1492.64 1
3.0%
1449.32 1
3.0%
1440.42 1
3.0%
1347.46 1
3.0%
1224.78 1
3.0%
1171.0 1
3.0%

전화번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T08:34:54.575709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters396
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row055-749-4531
2nd row055-749-3091
3rd row055-749-3791
4th row055-749-3031
5th row055-749-3761
ValueCountFrequency (%)
055-749-4531 1
 
3.0%
055-749-3181 1
 
3.0%
055-749-4431 1
 
3.0%
055-749-4501 1
 
3.0%
055-749-4030 1
 
3.0%
055-749-3971 1
 
3.0%
055-749-4401 1
 
3.0%
055-749-4001 1
 
3.0%
055-749-3821 1
 
3.0%
055-749-2114 1
 
3.0%
Other values (23) 23
69.7%
2023-12-11T08:34:54.991405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 72
18.2%
- 66
16.7%
4 55
13.9%
0 47
11.9%
1 39
9.8%
7 38
9.6%
9 38
9.6%
3 22
 
5.6%
8 8
 
2.0%
2 7
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
83.3%
Dash Punctuation 66
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 72
21.8%
4 55
16.7%
0 47
14.2%
1 39
11.8%
7 38
11.5%
9 38
11.5%
3 22
 
6.7%
8 8
 
2.4%
2 7
 
2.1%
6 4
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 72
18.2%
- 66
16.7%
4 55
13.9%
0 47
11.9%
1 39
9.8%
7 38
9.6%
9 38
9.6%
3 22
 
5.6%
8 8
 
2.0%
2 7
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 72
18.2%
- 66
16.7%
4 55
13.9%
0 47
11.9%
1 39
9.8%
7 38
9.6%
9 38
9.6%
3 22
 
5.6%
8 8
 
2.0%
2 7
 
1.8%

Interactions

2023-12-11T08:34:51.428523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:51.278477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:51.515944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:51.351269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:34:55.088186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동명사무소명(주민센터)_현장민원실명소재지건축년도규모(전체면적)전화번호
읍면동명1.0001.0001.0000.6861.0001.000
사무소명(주민센터)_현장민원실명1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
건축년도0.6861.0001.0001.0000.0001.000
규모(전체면적)1.0001.0001.0000.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2023-12-11T08:34:55.188693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건축년도규모(전체면적)
건축년도1.0000.344
규모(전체면적)0.3441.000

Missing values

2023-12-11T08:34:51.648409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:34:51.742486image/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

읍면동명사무소명(주민센터)_현장민원실명소재지건축년도규모(전체면적)전화번호
0가호동가호동행정복지센터경상남도 진주시 진주역로95번길 6(가좌동)20221347.46055-749-4531
1금곡면금곡면사무소경상남도 진주시 금곡면 월아산로 1401979588.09055-749-3091
2금산면금산면사무소경상남도 진주시 금산면 금산로 1071987872.18055-749-3791
3내동면내동면사무소경남 진주시 내동면 순환로 38920091103.0055-749-3031
4대곡면대곡면사무소경상남도 진주시 대곡면 진의로 10941979827.78055-749-3761
5대평면대평면사무소경상남도 진주시 한들길 4419981048.52055-749-3911
6명석면명석면 사무소경상남도 진주시 광제산로 3719831224.78055-749-3881
7문산읍문산읍사무소경상남도 진주시 문산읍 동부로 587번길 1219891440.42055-749-3001
8미천면미천면사무소경상남도 진주시 미천면 오방로 7311980367.27055-749-3851
9사봉면사봉면사무소경상남도 진주시 사봉면 사군로 1051989785.73055-749-3701
읍면동명사무소명(주민센터)_현장민원실명소재지건축년도규모(전체면적)전화번호
23진성면진성면사무소경상남도 진주시 진성면 동부로 132919921449.32055-749-3121
24진주시진주시청경상남도 진주시 동진로 155(상대동)200156421.44055-749-2114
25집현면집현면사무소경상남도 진주시 집현면 진산로 6971994850.95055-749-3821
26천전동천전동행정복지센터경상남도 진주시 망경남길44번길 22(망경동)2020873.0055-749-4001
27초장동초장동행정복지센터경상남도 진주시 초장로14번길 14(초전동)2009996.3055-749-4401
28충무공동충무공동행정복지센터경상남도 진주시 충의로 145(충무공동)20151853.88055-749-3971
29천전동칠암현장민원실경상남도 진주시 강남로177번길 30-7(칠암동)1994687.0055-749-4030
30판문동판문동행정복지센터경상남도 진주시 새평거로 55(평거동)20121171.0055-749-4501
31평거동평거동행정복지센터경상남도 진주시 평거로 40번길 5(평거동)2006964.0055-749-4431
32하대동하대동행정복지센터경상남도 진주시 모덕로 305(하대동)1999797.39055-749-4251