Overview

Dataset statistics

Number of variables8
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory69.2 B

Variable types

Text2
DateTime1
Categorical3
Numeric2

Dataset

Description경상남도 보건환경연구원에서 운영중인 대기환경측정망 설치 현황 자료입니다. 도시대기측정소 및 도로변대기측정소의 측정소명, 주소, 설치일자, 측정망 종류, 시군, 용도지역, 위경도 좌표 자료를 포함하고 있습니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3078597

Alerts

위도 is highly overall correlated with 시군High correlation
경도 is highly overall correlated with 시군High correlation
시군 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
측정망 종류 is highly imbalanced (62.2%)Imbalance
용도지역 is highly imbalanced (55.3%)Imbalance
측정소명 has unique valuesUnique
주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:05:12.413447
Analysis finished2023-12-11 00:05:13.274001
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

측정소명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-11T09:05:13.443084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0243902
Min length3

Characters and Unicode

Total characters124
Distinct characters63
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

Unique41 ?
Unique (%)100.0%

Sample

1st row성주동
2nd row경화동
3rd row명서동
4th row봉암동
5th row사파동
ValueCountFrequency (%)
성주동 1
 
2.4%
내일동 1
 
2.4%
아주동 1
 
2.4%
북부동 1
 
2.4%
삼호동 1
 
2.4%
물금읍 1
 
2.4%
의령읍 1
 
2.4%
가야읍 1
 
2.4%
창녕읍 1
 
2.4%
고성읍 1
 
2.4%
Other values (31) 31
75.6%
2023-12-11T09:05:13.780480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 24
 
19.4%
읍 14
 
11.3%
성 3
 
2.4%
로 3
 
2.4%
상 3
 
2.4%
대 3
 
2.4%
삼 3
 
2.4%
봉 2
 
1.6%
영 2
 
1.6%
해 2
 
1.6%
Other values (53) 65
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 124
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 24
 
19.4%
읍 14
 
11.3%
성 3
 
2.4%
로 3
 
2.4%
상 3
 
2.4%
대 3
 
2.4%
삼 3
 
2.4%
봉 2
 
1.6%
영 2
 
1.6%
해 2
 
1.6%
Other values (53) 65
52.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 124
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 24
 
19.4%
읍 14
 
11.3%
성 3
 
2.4%
로 3
 
2.4%
상 3
 
2.4%
대 3
 
2.4%
삼 3
 
2.4%
봉 2
 
1.6%
영 2
 
1.6%
해 2
 
1.6%
Other values (53) 65
52.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 124
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 24
 
19.4%
읍 14
 
11.3%
성 3
 
2.4%
로 3
 
2.4%
상 3
 
2.4%
대 3
 
2.4%
삼 3
 
2.4%
봉 2
 
1.6%
영 2
 
1.6%
해 2
 
1.6%
Other values (53) 65
52.4%

주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-11T09:05:13.981319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length26.219512
Min length17

Characters and Unicode

Total characters1075
Distinct characters165
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row창원시 성산구 외리로 14번길 18(성주민원센터)
2nd row창원시 진해구 경화로 16번길 31(병암동주민센터)
3rd row창원시 의창구 우곡로 101번길 85(명서2동 민원센터)
4th row창원시 마산회원구 봉양로 148(봉암동 주민센터)
5th row창원시 성산구 창이대로 706번길 16-23(사파민원센터)
ValueCountFrequency (%)
창원시 12
 
6.6%
김해시 5
 
2.7%
성산구 4
 
2.2%
진주시 4
 
2.2%
마산회원구 3
 
1.6%
양산시 3
 
1.6%
앞 3
 
1.6%
중앙로 2
 
1.1%
밀양시 2
 
1.1%
사천시 2
 
1.1%
Other values (136) 142
78.0%
2023-12-11T09:05:14.317738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
 
13.1%
) 41
 
3.8%
( 41
 
3.8%
시 35
 
3.3%
1 33
 
3.1%
동 29
 
2.7%
로 25
 
2.3%
원 24
 
2.2%
창 21
 
2.0%
읍 19
 
1.8%
Other values (155) 666
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 687
63.9%
Decimal Number 152
 
14.1%
Space Separator 141
 
13.1%
Close Punctuation 41
 
3.8%
Open Punctuation 41
 
3.8%
Dash Punctuation 9
 
0.8%
Uppercase Letter 3
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 35
 
5.1%
동 29
 
4.2%
로 25
 
3.6%
원 24
 
3.5%
창 21
 
3.1%
읍 19
 
2.8%
산 19
 
2.8%
주 18
 
2.6%
센 17
 
2.5%
터 17
 
2.5%
Other values (137) 463
67.4%
Decimal Number
ValueCountFrequency (%)
1 33
21.7%
2 19
12.5%
3 18
11.8%
5 18
11.8%
4 16
10.5%
6 14
9.2%
8 12
 
7.9%
9 8
 
5.3%
0 8
 
5.3%
7 6
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
B 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
141
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 687
63.9%
Common 385
35.8%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 35
 
5.1%
동 29
 
4.2%
로 25
 
3.6%
원 24
 
3.5%
창 21
 
3.1%
읍 19
 
2.8%
산 19
 
2.8%
주 18
 
2.6%
센 17
 
2.5%
터 17
 
2.5%
Other values (137) 463
67.4%
Common
ValueCountFrequency (%)
141
36.6%
) 41
 
10.6%
( 41
 
10.6%
1 33
 
8.6%
2 19
 
4.9%
3 18
 
4.7%
5 18
 
4.7%
4 16
 
4.2%
6 14
 
3.6%
8 12
 
3.1%
Other values (5) 32
 
8.3%
Latin
ValueCountFrequency (%)
K 1
33.3%
B 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 687
63.9%
ASCII 388
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
36.3%
) 41
 
10.6%
( 41
 
10.6%
1 33
 
8.5%
2 19
 
4.9%
3 18
 
4.6%
5 18
 
4.6%
4 16
 
4.1%
6 14
 
3.6%
8 12
 
3.1%
Other values (8) 35
 
9.0%
Hangul
ValueCountFrequency (%)
시 35
 
5.1%
동 29
 
4.2%
로 25
 
3.6%
원 24
 
3.5%
창 21
 
3.1%
읍 19
 
2.8%
산 19
 
2.8%
주 18
 
2.6%
센 17
 
2.5%
터 17
 
2.5%
Other values (137) 463
67.4%

최초설치일자
Date

Distinct31
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum1993-09-21 00:00:00
Maximum2022-07-06 00:00:00
2023-12-11T09:05:14.443836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:05:14.562994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

측정망 종류
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
도시대기
38 
도로변대기
 
3

Length

Max length5
Median length4
Mean length4.0731707
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도시대기 38
92.7%
도로변대기 3
 
7.3%

Length

2023-12-11T09:05:14.689640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:05:14.784142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도시대기 38
92.7%
도로변대기 3
 
7.3%

시군
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
창원시
12 
김해시
5 
진주시
4 
양산시
3 
사천시
2 
Other values (13)
15 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique11 ?
Unique (%)26.8%

Sample

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

Common Values

ValueCountFrequency (%)
창원시 12
29.3%
김해시 5
12.2%
진주시 4
 
9.8%
양산시 3
 
7.3%
사천시 2
 
4.9%
거제시 2
 
4.9%
하동군 2
 
4.9%
고성군 1
 
2.4%
통영시 1
 
2.4%
밀양시 1
 
2.4%
Other values (8) 8
19.5%

Length

2023-12-11T09:05:14.870764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 12
29.3%
김해시 5
12.2%
진주시 4
 
9.8%
양산시 3
 
7.3%
사천시 2
 
4.9%
거제시 2
 
4.9%
하동군 2
 
4.9%
함양군 1
 
2.4%
남해군 1
 
2.4%
거창군 1
 
2.4%
Other values (8) 8
19.5%

용도지역
Categorical

IMBALANCE 

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
주거지역
34 
공업지역
4 
녹지지역
 
2
상업지역
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row공업지역
2nd row주거지역
3rd row주거지역
4th row공업지역
5th row주거지역

Common Values

ValueCountFrequency (%)
주거지역 34
82.9%
공업지역 4
 
9.8%
녹지지역 2
 
4.9%
상업지역 1
 
2.4%

Length

2023-12-11T09:05:14.966801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:05:15.068248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주거지역 34
82.9%
공업지역 4
 
9.8%
녹지지역 2
 
4.9%
상업지역 1
 
2.4%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.212773
Minimum34.83196
Maximum35.68138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-11T09:05:15.195414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.83196
5-th percentile34.86332
Q135.12489
median35.21998
Q335.30779
95-th percentile35.54365
Maximum35.68138
Range0.84942
Interquartile range (IQR)0.1829

Descriptive statistics

Standard deviation0.19544715
Coefficient of variation (CV)0.0055504619
Kurtosis0.22322385
Mean35.212773
Median Absolute Deviation (MAD)0.09037
Skewness0.066306847
Sum1443.7237
Variance0.03819959
MonotonicityNot monotonic
2023-12-11T09:05:15.324204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
35.19839 1
 
2.4%
34.83196 1
 
2.4%
34.86332 1
 
2.4%
35.34586 1
 
2.4%
35.41434 1
 
2.4%
35.31035 1
 
2.4%
35.31521 1
 
2.4%
35.27224 1
 
2.4%
35.54365 1
 
2.4%
34.97454 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
34.83196 1
2.4%
34.86052 1
2.4%
34.86332 1
2.4%
34.87207 1
2.4%
34.93403 1
2.4%
34.96593 1
2.4%
34.97454 1
2.4%
35.06731 1
2.4%
35.08269 1
2.4%
35.1187 1
2.4%
ValueCountFrequency (%)
35.68138 1
2.4%
35.56755 1
2.4%
35.54365 1
2.4%
35.52024 1
2.4%
35.4948 1
2.4%
35.41489 1
2.4%
35.41434 1
2.4%
35.34586 1
2.4%
35.31521 1
2.4%
35.31035 1
2.4%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.45242
Minimum127.72456
Maximum129.1722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-11T09:05:15.453586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.72456
5-th percentile127.79417
Q1128.1005
median128.55735
Q3128.69823
95-th percentile128.98728
Maximum129.1722
Range1.44764
Interquartile range (IQR)0.59773

Descriptive statistics

Standard deviation0.38170574
Coefficient of variation (CV)0.0029715729
Kurtosis-0.84486214
Mean128.45242
Median Absolute Deviation (MAD)0.24986
Skewness-0.30433793
Sum5266.5493
Variance0.14569927
MonotonicityNot monotonic
2023-12-11T09:05:15.583166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
128.71105 1
 
2.4%
127.89919 1
 
2.4%
128.69058 1
 
2.4%
129.04085 1
 
2.4%
129.1722 1
 
2.4%
128.98728 1
 
2.4%
128.25557 1
 
2.4%
128.40861 1
 
2.4%
128.49005 1
 
2.4%
128.32411 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
127.72456 1
2.4%
127.75131 1
2.4%
127.79417 1
2.4%
127.87385 1
2.4%
127.89919 1
2.4%
127.91789 1
2.4%
128.07457 1
2.4%
128.08452 1
2.4%
128.0911 1
2.4%
128.09366 1
2.4%
ValueCountFrequency (%)
129.1722 1
2.4%
129.04085 1
2.4%
128.98728 1
2.4%
128.91216 1
2.4%
128.90072 1
2.4%
128.88363 1
2.4%
128.80721 1
2.4%
128.75444 1
2.4%
128.73109 1
2.4%
128.71105 1
2.4%

Interactions

2023-12-11T09:05:12.929212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:05:12.781429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:05:13.008684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:05:12.844623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:05:15.676957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
측정소명주소최초설치일자측정망 종류시군용도지역위도경도
측정소명1.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.000
최초설치일자1.0001.0001.0001.0000.0001.0000.0000.584
측정망 종류1.0001.0001.0001.0000.0000.4090.0000.000
시군1.0001.0000.0000.0001.0000.0000.9380.949
용도지역1.0001.0001.0000.4090.0001.0000.0000.000
위도1.0001.0000.0000.0000.9380.0001.0000.770
경도1.0001.0000.5840.0000.9490.0000.7701.000
2023-12-11T09:05:15.780923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군용도지역측정망 종류
시군1.0000.0000.000
용도지역0.0001.0000.264
측정망 종류0.0000.2641.000
2023-12-11T09:05:15.881501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도측정망 종류시군용도지역
위도1.0000.2640.0000.6290.000
경도0.2641.0000.0000.6610.000
측정망 종류0.0000.0001.0000.0000.264
시군0.6290.6610.0001.0000.000
용도지역0.0000.0000.2640.0001.000

Missing values

2023-12-11T09:05:13.123490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:05:13.232667image/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

측정소명주소최초설치일자측정망 종류시군용도지역위도경도
0성주동창원시 성산구 외리로 14번길 18(성주민원센터)1997-02-18도시대기창원시공업지역35.19839128.71105
1경화동창원시 진해구 경화로 16번길 31(병암동주민센터)1994-03-01도시대기창원시주거지역35.15497128.68955
2명서동창원시 의창구 우곡로 101번길 85(명서2동 민원센터)1993-12-06도시대기창원시주거지역35.24278128.64292
3봉암동창원시 마산회원구 봉양로 148(봉암동 주민센터)1995-12-01도시대기창원시공업지역35.2179128.60274
4사파동창원시 성산구 창이대로 706번길 16-23(사파민원센터)2009-03-12도시대기창원시주거지역35.22182128.69823
5웅남동창원시 성산구 공단로 303(효성굿스프링스)1999-06-16도시대기창원시공업지역35.21739128.65674
6용지동창원시 의창구 용지로 239번길 19-4(용지동 행정복지센터)2007-07-13도시대기창원시주거지역35.23608128.68412
7내서읍창원시 마산회원구 내서읍 광려로 8(삼계근린공원)2020-09-21도시대기창원시주거지역35.22609128.5031
8월영동창원시 마산합포구 월영동 16길 22(마산합포도서관)2019-08-01도시대기창원시주거지역35.19006128.55735
9회원동창원시 마산회원구 회원동 11번길 7(회원1동 주민센터)1993-09-21도시대기창원시주거지역35.21998128.57695
측정소명주소최초설치일자측정망 종류시군용도지역위도경도
31남해읍남해군 남해읍 남해대로 2745(남해유배문학관)2018-08-21도시대기남해군주거지역34.83196127.89919
32하동읍하동군 하동읍 군청로 23(하동군청)2007-08-21도시대기하동군녹지지역35.06731127.75131
33금성면하동군 금성면 금성중앙길 14(금성꿈나무어린이집)2021-06-08도시대기하동군주거지역34.96593127.79417
34산청읍산청군 산청읍 옥산리 276(산청군청 주차장)2019-08-01도시대기산청군주거지역35.41489127.87385
35함양읍함양군 함양읍 고운로 35(함양군청)2018-08-15도시대기함양군주거지역35.52024127.72456
36거창읍거창군 거창읍 대평리 1298-1(거창자전거교통안전교육장)2018-08-17도시대기거창군주거지역35.68138127.91789
37합천읍합천군 합천읍 대야로 888-21(합천보훈회관)2019-08-01도시대기합천군주거지역35.56755128.16542
38반송로창원시 성산구 중앙동 516-4(시설관리공단 실내 수영장 앞)2008-10-31도로변대기창원시녹지지역35.23264128.67074
39삼진로창원시 마산합포구 진동면 진동리 635(진동시외버스정류장 앞)2022-07-06도로변대기창원시주거지역35.1187128.4866
40김해대로김해시 삼정동 360(인제대역 환승주차장)2021-06-21도로변대기김해시주거지역35.22768128.90072