Overview

Dataset statistics

Number of variables5
Number of observations91
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory42.5 B

Variable types

Numeric1
Text2
Categorical1
DateTime1

Dataset

Description해당 데이터는 인천광역시 남동구의 하천수질 모니터링에 관련된 자료로서, 인천광역시 남동구 하천수질 모니터링의 연번,제목,담당부서,작성일시,상세정보 URL의 정보를 확인할 수 있다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15103678&srcSe=7661IVAWM27C61E190

Alerts

담당부서 has constant value ""Constant
연번 has unique valuesUnique
제목 has unique valuesUnique
상세정보 홈페이지주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 17:34:01.684822
Analysis finished2024-01-28 17:34:02.143160
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-01-29T02:34:02.203193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.5
Q123.5
median46
Q368.5
95-th percentile86.5
Maximum91
Range90
Interquartile range (IQR)45

Descriptive statistics

Standard deviation26.41338
Coefficient of variation (CV)0.57420392
Kurtosis-1.2
Mean46
Median Absolute Deviation (MAD)23
Skewness0
Sum4186
Variance697.66667
MonotonicityStrictly increasing
2024-01-29T02:34:02.320110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
59 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%

제목
Text

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
2024-01-29T02:34:02.478168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length18
Mean length18.32967
Min length17

Characters and Unicode

Total characters1668
Distinct characters29
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

Unique91 ?
Unique (%)100.0%

Sample

1st row2016년 1분기 장수천, 운연천 수질오염도 검사 결과
2nd row2016년 4월 장수천 검사 결과
3rd row2016년 5월 장수천 검사 결과
4th row2016년 6월 장수천 검사 결과
5th row2016년 7월 장수천 검사결과
ValueCountFrequency (%)
장수천 91
20.0%
검사 88
19.4%
결과 88
19.4%
2017년 12
 
2.6%
2022년 12
 
2.6%
2020년 12
 
2.6%
2018년 12
 
2.6%
2021년 12
 
2.6%
2019년 12
 
2.6%
2016년 10
 
2.2%
Other values (17) 105
23.1%
2024-01-29T02:34:02.748097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
363
21.8%
2 162
9.7%
0 110
 
6.6%
1 94
 
5.6%
천 92
 
5.5%
수 92
 
5.5%
장 91
 
5.5%
사 91
 
5.5%
년 91
 
5.5%
과 91
 
5.5%
Other values (19) 391
23.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 828
49.6%
Decimal Number 476
28.5%
Space Separator 363
21.8%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 92
11.1%
수 92
11.1%
장 91
11.0%
사 91
11.0%
년 91
11.0%
과 91
11.0%
결 91
11.0%
검 91
11.0%
월 90
10.9%
도 1
 
0.1%
Other values (7) 7
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 162
34.0%
0 110
23.1%
1 94
19.7%
9 20
 
4.2%
7 20
 
4.2%
8 20
 
4.2%
6 18
 
3.8%
3 16
 
3.4%
5 8
 
1.7%
4 8
 
1.7%
Space Separator
ValueCountFrequency (%)
363
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 840
50.4%
Hangul 828
49.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 92
11.1%
수 92
11.1%
장 91
11.0%
사 91
11.0%
년 91
11.0%
과 91
11.0%
결 91
11.0%
검 91
11.0%
월 90
10.9%
도 1
 
0.1%
Other values (7) 7
 
0.8%
Common
ValueCountFrequency (%)
363
43.2%
2 162
19.3%
0 110
 
13.1%
1 94
 
11.2%
9 20
 
2.4%
7 20
 
2.4%
8 20
 
2.4%
6 18
 
2.1%
3 16
 
1.9%
5 8
 
1.0%
Other values (2) 9
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 840
50.4%
Hangul 828
49.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
363
43.2%
2 162
19.3%
0 110
 
13.1%
1 94
 
11.2%
9 20
 
2.4%
7 20
 
2.4%
8 20
 
2.4%
6 18
 
2.1%
3 16
 
1.9%
5 8
 
1.0%
Other values (2) 9
 
1.1%
Hangul
ValueCountFrequency (%)
천 92
11.1%
수 92
11.1%
장 91
11.0%
사 91
11.0%
년 91
11.0%
과 91
11.0%
결 91
11.0%
검 91
11.0%
월 90
10.9%
도 1
 
0.1%
Other values (7) 7
 
0.8%

담당부서
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size860.0 B
환경보전과
91 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경보전과 91
100.0%

Length

2024-01-29T02:34:02.856522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T02:34:02.943484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경보전과 91
100.0%

작성일시
Date

Distinct78
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size860.0 B
Minimum2016-04-07 00:00:00
Maximum2023-09-27 00:00:00
2024-01-29T02:34:03.066882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T02:34:03.191859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상세정보 홈페이지주소
Text

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
2024-01-29T02:34:03.433356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length79
Mean length78.901099
Min length78

Characters and Unicode

Total characters7180
Distinct characters38
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)100.0%

Sample

1st rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=1
2nd rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=2
3rd rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=3
4th rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=4
5th rowhttps://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=5
ValueCountFrequency (%)
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=water_monitor&msg_seq=1 1
 
1.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=water_monitor&msg_seq=48 1
 
1.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=water_monitor&msg_seq=68 1
 
1.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=water_monitor&msg_seq=67 1
 
1.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=water_monitor&msg_seq=66 1
 
1.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=water_monitor&msg_seq=65 1
 
1.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=water_monitor&msg_seq=64 1
 
1.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=water_monitor&msg_seq=63 1
 
1.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=water_monitor&msg_seq=62 1
 
1.1%
https://www.namdong.go.kr/main/bbs/bbsmsgdetail.do?bcd=water_monitor&msg_seq=61 1
 
1.1%
Other values (81) 81
89.0%
2024-01-29T02:34:03.793703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 546
 
7.6%
o 455
 
6.3%
t 455
 
6.3%
/ 455
 
6.3%
b 455
 
6.3%
n 364
 
5.1%
w 364
 
5.1%
. 364
 
5.1%
a 364
 
5.1%
m 364
 
5.1%
Other values (28) 2994
41.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5369
74.8%
Other Punctuation 1092
 
15.2%
Math Symbol 182
 
2.5%
Connector Punctuation 182
 
2.5%
Uppercase Letter 182
 
2.5%
Decimal Number 173
 
2.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 546
 
10.2%
o 455
 
8.5%
t 455
 
8.5%
b 455
 
8.5%
n 364
 
6.8%
w 364
 
6.8%
a 364
 
6.8%
m 364
 
6.8%
g 364
 
6.8%
r 273
 
5.1%
Other values (9) 1365
25.4%
Decimal Number
ValueCountFrequency (%)
1 19
11.0%
2 19
11.0%
5 19
11.0%
3 19
11.0%
4 19
11.0%
6 19
11.0%
7 19
11.0%
8 19
11.0%
9 12
6.9%
0 9
5.2%
Other Punctuation
ValueCountFrequency (%)
/ 455
41.7%
. 364
33.3%
? 91
 
8.3%
& 91
 
8.3%
: 91
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
D 91
50.0%
M 91
50.0%
Math Symbol
ValueCountFrequency (%)
= 182
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5551
77.3%
Common 1629
 
22.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 546
 
9.8%
o 455
 
8.2%
t 455
 
8.2%
b 455
 
8.2%
n 364
 
6.6%
w 364
 
6.6%
a 364
 
6.6%
m 364
 
6.6%
g 364
 
6.6%
r 273
 
4.9%
Other values (11) 1547
27.9%
Common
ValueCountFrequency (%)
/ 455
27.9%
. 364
22.3%
= 182
 
11.2%
_ 182
 
11.2%
? 91
 
5.6%
& 91
 
5.6%
: 91
 
5.6%
1 19
 
1.2%
2 19
 
1.2%
5 19
 
1.2%
Other values (7) 116
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 546
 
7.6%
o 455
 
6.3%
t 455
 
6.3%
/ 455
 
6.3%
b 455
 
6.3%
n 364
 
5.1%
w 364
 
5.1%
. 364
 
5.1%
a 364
 
5.1%
m 364
 
5.1%
Other values (28) 2994
41.7%

Interactions

2024-01-29T02:34:01.926314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T02:34:04.227870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번제목작성일시상세정보 홈페이지주소
연번1.0001.0000.9821.000
제목1.0001.0001.0001.000
작성일시0.9821.0001.0001.000
상세정보 홈페이지주소1.0001.0001.0001.000

Missing values

2024-01-29T02:34:02.024324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T02:34:02.109593image/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

연번제목담당부서작성일시상세정보 홈페이지주소
012016년 1분기 장수천, 운연천 수질오염도 검사 결과환경보전과2016-04-07https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=1
122016년 4월 장수천 검사 결과환경보전과2016-05-16https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=2
232016년 5월 장수천 검사 결과환경보전과2016-06-08https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=3
342016년 6월 장수천 검사 결과환경보전과2016-06-08https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=4
452016년 7월 장수천 검사결과환경보전과2016-08-05https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=5
562016년 8월 장수천 검사결과환경보전과2016-09-23https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=6
672016년 9월 장수천 검사결과환경보전과2016-10-17https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=7
782016년 10월 장수천 검사 결과환경보전과2016-11-09https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=8
892016년 11월 장수천 검사 결과환경보전과2016-12-06https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=9
9102016년 12월 장수천 검사 결과환경보전과2016-12-21https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=10
연번제목담당부서작성일시상세정보 홈페이지주소
81822022년 12월 장수천 검사 결과환경보전과2023-01-02https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=83
82832023년 1월 장수천 검사 결과환경보전과2023-02-03https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=84
83842023년 2월 장수천 검사 결과환경보전과2023-03-26https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=85
84852023년 3월 장수천 검사 결과환경보전과2023-04-11https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?bcd=water_monitor&msg_seq=86
85862023년 4월 장수천 검사 결과환경보전과2023-05-04https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?msg_seq=87&bcd=water_monitor
86872023년 5월 장수천 검사 결과환경보전과2023-06-04https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?msg_seq=88&bcd=water_monitor
87882023년 6월 장수천 검사 결과환경보전과2023-07-04https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?msg_seq=89&bcd=water_monitor
88892023년 7월 장수천 검사 결과환경보전과2023-08-07https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?msg_seq=90&bcd=water_monitor
89902023년 8월 장수천 검사 결과환경보전과2023-09-05https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?msg_seq=91&bcd=water_monitor
90912023년 9월 장수천 검사 결과환경보전과2023-09-27https://www.namdong.go.kr/main/bbs/bbsMsgDetail.do?msg_seq=92&bcd=water_monitor