Overview

Dataset statistics

Number of variables7
Number of observations123
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory57.1 B

Variable types

Categorical6
DateTime1

Dataset

Description경상남도 미세먼지 항목에 대한 대기오염 예보내역 데이터입니다.(업무, 권역, 제공대상, 예보등급, 상태 등을 포함하고 있습니다.)
Author경상남도
URLhttps://www.data.go.kr/data/15049549/fileData.do

Alerts

업무 has constant value ""Constant
권역 has constant value ""Constant
상태 has constant value ""Constant
비고 has constant value ""Constant
제목 is highly overall correlated with 전송대상High correlation
전송대상 is highly overall correlated with 제목High correlation
제목 is highly imbalanced (88.0%)Imbalance
전송요청일시 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:28:15.066025
Analysis finished2023-12-12 09:28:15.378724
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업무
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
대기질
123 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대기질 123
100.0%

Length

2023-12-12T18:28:15.460013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:28:15.574928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기질 123
100.0%

권역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
전역
123 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전역 123
100.0%

Length

2023-12-12T18:28:15.696625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:28:15.788493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전역 123
100.0%

제목
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
[자동]고농도 미세먼지 예보
121 
[수동]고농도 미세먼지 예보
 
2

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row[자동]고농도 미세먼지 예보
2nd row[자동]고농도 미세먼지 예보
3rd row[자동]고농도 미세먼지 예보
4th row[자동]고농도 미세먼지 예보
5th row[자동]고농도 미세먼지 예보

Common Values

ValueCountFrequency (%)
[자동]고농도 미세먼지 예보 121
98.4%
[수동]고농도 미세먼지 예보 2
 
1.6%

Length

2023-12-12T18:28:15.888674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:28:16.018793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미세먼지 123
33.3%
예보 123
33.3%
자동]고농도 121
32.8%
수동]고농도 2
 
0.5%

전송대상
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
56명
36 
75명
16 
74명
15 
53명
12 
60명
10 
Other values (12)
34 

Length

Max length4
Median length3
Mean length3.1788618
Min length3

Unique

Unique6 ?
Unique (%)4.9%

Sample

1st row74명
2nd row75명
3rd row75명
4th row75명
5th row75명

Common Values

ValueCountFrequency (%)
56명 36
29.3%
75명 16
13.0%
74명 15
12.2%
53명 12
 
9.8%
60명 10
 
8.1%
144명 9
 
7.3%
55명 5
 
4.1%
138명 4
 
3.3%
139명 4
 
3.3%
72명 4
 
3.3%
Other values (7) 8
 
6.5%

Length

2023-12-12T18:28:16.182337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
56명 36
29.3%
75명 16
13.0%
74명 15
12.2%
53명 12
 
9.8%
60명 10
 
8.1%
144명 9
 
7.3%
55명 5
 
4.1%
72명 4
 
3.3%
139명 4
 
3.3%
138명 4
 
3.3%
Other values (7) 8
 
6.5%

전송요청일시
Date

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2017-12-29 17:33:00
Maximum2019-08-19 17:06:00
2023-12-12T18:28:16.361992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:28:16.522310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
진행
123 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
진행 123
100.0%

Length

2023-12-12T18:28:16.675880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:28:16.817378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
진행 123
100.0%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
대기질 "나쁨" 예보
123 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대기질 "나쁨" 예보
2nd row대기질 "나쁨" 예보
3rd row대기질 "나쁨" 예보
4th row대기질 "나쁨" 예보
5th row대기질 "나쁨" 예보

Common Values

ValueCountFrequency (%)
대기질 "나쁨" 예보 123
100.0%

Length

2023-12-12T18:28:16.954839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:28:17.064101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대기질 123
33.3%
나쁨 123
33.3%
예보 123
33.3%

Correlations

2023-12-12T18:28:17.122167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제목전송대상
제목1.0001.000
전송대상1.0001.000
2023-12-12T18:28:17.220053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제목전송대상
제목1.0000.936
전송대상0.9361.000
2023-12-12T18:28:17.320513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제목전송대상
제목1.0000.936
전송대상0.9361.000

Missing values

2023-12-12T18:28:15.224782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:28:15.327817image/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

업무권역제목전송대상전송요청일시상태비고
0대기질전역[자동]고농도 미세먼지 예보74명2019-08-19 17:06진행대기질 "나쁨" 예보
1대기질전역[자동]고농도 미세먼지 예보75명2019-06-20 17:06진행대기질 "나쁨" 예보
2대기질전역[자동]고농도 미세먼지 예보75명2019-06-20 05:06진행대기질 "나쁨" 예보
3대기질전역[자동]고농도 미세먼지 예보75명2019-06-19 17:06진행대기질 "나쁨" 예보
4대기질전역[자동]고농도 미세먼지 예보75명2019-06-19 05:06진행대기질 "나쁨" 예보
5대기질전역[자동]고농도 미세먼지 예보75명2019-06-18 17:06진행대기질 "나쁨" 예보
6대기질전역[자동]고농도 미세먼지 예보75명2019-06-04 05:06진행대기질 "나쁨" 예보
7대기질전역[자동]고농도 미세먼지 예보75명2019-05-11 05:06진행대기질 "나쁨" 예보
8대기질전역[자동]고농도 미세먼지 예보75명2019-05-10 17:07진행대기질 "나쁨" 예보
9대기질전역[자동]고농도 미세먼지 예보75명2019-04-07 05:06진행대기질 "나쁨" 예보
업무권역제목전송대상전송요청일시상태비고
113대기질전역[자동]고농도 미세먼지 예보144명2018-03-24 17:20진행대기질 "나쁨" 예보
114대기질전역[자동]고농도 미세먼지 예보144명2018-03-24 17:15진행대기질 "나쁨" 예보
115대기질전역[자동]고농도 미세먼지 예보144명2018-03-24 17:10진행대기질 "나쁨" 예보
116대기질전역[자동]고농도 미세먼지 예보144명2018-03-24 17:05진행대기질 "나쁨" 예보
117대기질전역[자동]고농도 미세먼지 예보144명2018-03-24 17:00진행대기질 "나쁨" 예보
118대기질전역[자동]고농도 미세먼지 예보144명2018-03-24 05:00진행대기질 "나쁨" 예보
119대기질전역[자동]고농도 미세먼지 예보144명2018-03-23 05:00진행대기질 "나쁨" 예보
120대기질전역[자동]고농도 미세먼지 예보143명2018-03-22 17:10진행대기질 "나쁨" 예보
121대기질전역[자동]고농도 미세먼지 예보100명2017-12-30 05:00진행대기질 "나쁨" 예보
122대기질전역[수동]고농도 미세먼지 예보77명2017-12-29 17:33진행대기질 "나쁨" 예보