Overview

Dataset statistics

Number of variables15
Number of observations35
Missing cells23
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory130.8 B

Variable types

Numeric3
Categorical10
Text2

Dataset

Description파주시에 설치된 미세먼지신호등에 대한 데이터로서, 미세먼지 농도를 실시간으로 알려주는 미세먼지신호등의 설치주소, 설치년도, 표출부개수, 운영시간, 표출내용등의 정보제공
Author경기도 파주시
URLhttps://www.data.go.kr/data/15066612/fileData.do

Alerts

표출부가로 has constant value ""Constant
표출부세로 has constant value ""Constant
표출부개수 has constant value ""Constant
운영시작시간 has constant value ""Constant
운영종료시간 has constant value ""Constant
표출내용 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
관리번호 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 관리번호 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도High correlation
설치연도 is highly overall correlated with 관리번호High correlation
설치위치도로명주소 has 23 (65.7%) missing valuesMissing
관리번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:44:42.297734
Analysis finished2023-12-12 15:44:44.255263
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-13T00:44:44.340887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2023-12-13T00:44:44.521470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

설치연도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
2019
20 
2020
15 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 20
57.1%
2020 15
42.9%

Length

2023-12-13T00:44:44.702825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:44:44.839386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 20
57.1%
2020 15
42.9%

설치위치도로명주소
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing23
Missing (%)65.7%
Memory size412.0 B
2023-12-13T00:44:45.031999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length20.5
Min length19

Characters and Unicode

Total characters246
Distinct characters62
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

Unique12 ?
Unique (%)100.0%

Sample

1st row경기도 파주시 가온로 124-1(목동동)
2nd row경기도 파주시 와석순환로172번길 35
3rd row경기도 파주시 책향기로 410 (동패동)
4th row경기도 파주시 숲속노을로 256(동패동)
5th row경기도 파주시 새꽃로 193(금촌동)
ValueCountFrequency (%)
경기도 12
23.1%
파주시 12
23.1%
방촌로 1
 
1.9%
문산읍 1
 
1.9%
34(목동동 1
 
1.9%
해솔로 1
 
1.9%
27(와동동 1
 
1.9%
금바위로 1
 
1.9%
77(야당동 1
 
1.9%
하우3길 1
 
1.9%
Other values (20) 20
38.5%
2023-12-13T00:44:45.485176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
16.3%
동 14
 
5.7%
파 13
 
5.3%
주 13
 
5.3%
시 13
 
5.3%
기 13
 
5.3%
경 12
 
4.9%
도 12
 
4.9%
로 11
 
4.5%
1 10
 
4.1%
Other values (52) 95
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
61.0%
Space Separator 40
 
16.3%
Decimal Number 39
 
15.9%
Open Punctuation 8
 
3.3%
Close Punctuation 8
 
3.3%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 14
 
9.3%
파 13
 
8.7%
주 13
 
8.7%
시 13
 
8.7%
기 13
 
8.7%
경 12
 
8.0%
도 12
 
8.0%
로 11
 
7.3%
길 2
 
1.3%
패 2
 
1.3%
Other values (39) 45
30.0%
Decimal Number
ValueCountFrequency (%)
1 10
25.6%
3 6
15.4%
7 5
12.8%
4 4
 
10.3%
2 4
 
10.3%
0 3
 
7.7%
5 3
 
7.7%
6 2
 
5.1%
9 2
 
5.1%
Space Separator
ValueCountFrequency (%)
40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
61.0%
Common 96
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 14
 
9.3%
파 13
 
8.7%
주 13
 
8.7%
시 13
 
8.7%
기 13
 
8.7%
경 12
 
8.0%
도 12
 
8.0%
로 11
 
7.3%
길 2
 
1.3%
패 2
 
1.3%
Other values (39) 45
30.0%
Common
ValueCountFrequency (%)
40
41.7%
1 10
 
10.4%
( 8
 
8.3%
) 8
 
8.3%
3 6
 
6.2%
7 5
 
5.2%
4 4
 
4.2%
2 4
 
4.2%
0 3
 
3.1%
5 3
 
3.1%
Other values (3) 5
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
61.0%
ASCII 96
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
41.7%
1 10
 
10.4%
( 8
 
8.3%
) 8
 
8.3%
3 6
 
6.2%
7 5
 
5.2%
4 4
 
4.2%
2 4
 
4.2%
0 3
 
3.1%
5 3
 
3.1%
Other values (3) 5
 
5.2%
Hangul
ValueCountFrequency (%)
동 14
 
9.3%
파 13
 
8.7%
주 13
 
8.7%
시 13
 
8.7%
기 13
 
8.7%
경 12
 
8.0%
도 12
 
8.0%
로 11
 
7.3%
길 2
 
1.3%
패 2
 
1.3%
Other values (39) 45
30.0%

설치위치지번주소
Text

Distinct32
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T00:44:45.753858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length17.6
Min length15

Characters and Unicode

Total characters616
Distinct characters56
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

Unique30 ?
Unique (%)85.7%

Sample

1st row경기도 파주시 와동동 1412
2nd row경기도 파주시 와동동 1412
3rd row경기도 파주시 와동동 1360
4th row경기도 파주시 야당동 1001
5th row경기도 파주시 목동동 1083
ValueCountFrequency (%)
경기도 35
23.2%
파주시 35
23.2%
와동동 5
 
3.3%
야당동 5
 
3.3%
금촌동 5
 
3.3%
목동동 4
 
2.6%
1412 4
 
2.6%
동패동 4
 
2.6%
문산읍 3
 
2.0%
1692 2
 
1.3%
Other values (49) 49
32.5%
2023-12-13T00:44:46.202710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
18.8%
파 39
 
6.3%
동 39
 
6.3%
주 37
 
6.0%
경 35
 
5.7%
도 35
 
5.7%
시 35
 
5.7%
기 35
 
5.7%
1 28
 
4.5%
2 21
 
3.4%
Other values (46) 196
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
56.7%
Decimal Number 135
 
21.9%
Space Separator 116
 
18.8%
Dash Punctuation 16
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 39
11.2%
동 39
11.2%
주 37
10.6%
경 35
10.0%
도 35
10.0%
시 35
10.0%
기 35
10.0%
리 12
 
3.4%
읍 6
 
1.7%
금 6
 
1.7%
Other values (34) 70
20.1%
Decimal Number
ValueCountFrequency (%)
1 28
20.7%
2 21
15.6%
8 15
11.1%
9 12
8.9%
0 11
 
8.1%
4 11
 
8.1%
5 11
 
8.1%
6 9
 
6.7%
3 9
 
6.7%
7 8
 
5.9%
Space Separator
ValueCountFrequency (%)
116
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 349
56.7%
Common 267
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 39
11.2%
동 39
11.2%
주 37
10.6%
경 35
10.0%
도 35
10.0%
시 35
10.0%
기 35
10.0%
리 12
 
3.4%
읍 6
 
1.7%
금 6
 
1.7%
Other values (34) 70
20.1%
Common
ValueCountFrequency (%)
116
43.4%
1 28
 
10.5%
2 21
 
7.9%
- 16
 
6.0%
8 15
 
5.6%
9 12
 
4.5%
0 11
 
4.1%
4 11
 
4.1%
5 11
 
4.1%
6 9
 
3.4%
Other values (2) 17
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 349
56.7%
ASCII 267
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
43.4%
1 28
 
10.5%
2 21
 
7.9%
- 16
 
6.0%
8 15
 
5.6%
9 12
 
4.5%
0 11
 
4.1%
4 11
 
4.1%
5 11
 
4.1%
6 9
 
3.4%
Other values (2) 17
 
6.4%
Hangul
ValueCountFrequency (%)
파 39
11.2%
동 39
11.2%
주 37
10.6%
경 35
10.0%
도 35
10.0%
시 35
10.0%
기 35
10.0%
리 12
 
3.4%
읍 6
 
1.7%
금 6
 
1.7%
Other values (34) 70
20.1%

표출부가로
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
320
35 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row320
2nd row320
3rd row320
4th row320
5th row320

Common Values

ValueCountFrequency (%)
320 35
100.0%

Length

2023-12-13T00:44:46.404313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:44:46.533207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
320 35
100.0%

표출부세로
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
320
35 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row320
2nd row320
3rd row320
4th row320
5th row320

Common Values

ValueCountFrequency (%)
320 35
100.0%

Length

2023-12-13T00:44:46.640286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:44:46.764684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
320 35
100.0%

표출부개수
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
3
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 35
100.0%

Length

2023-12-13T00:44:46.912802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:44:47.080564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 35
100.0%

운영시작시간
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
00:00
35 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 35
100.0%

Length

2023-12-13T00:44:47.240313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:44:47.345818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 35
100.0%

운영종료시간
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
24:00
35 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row24:00
2nd row24:00
3rd row24:00
4th row24:00
5th row24:00

Common Values

ValueCountFrequency (%)
24:00 35
100.0%

Length

2023-12-13T00:44:47.474054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:44:47.611465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24:00 35
100.0%

표출내용
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등
35 

Length

Max length45
Median length45
Mean length45
Min length45

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등
2nd rowPM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등
3rd rowPM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등
4th rowPM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등
5th rowPM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등

Common Values

ValueCountFrequency (%)
PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등 35
100.0%

Length

2023-12-13T00:44:47.751078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:44:47.872419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pm10 35
11.1%
pm2.5 35
11.1%
co 35
11.1%
no2 35
11.1%
so2 35
11.1%
o3 35
11.1%
기상정보 35
11.1%
기타홍보사항 35
11.1%
등 35
11.1%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.765687
Minimum37.709698
Maximum37.95396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-13T00:44:47.994448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.709698
5-th percentile37.712882
Q137.721508
median37.72953
Q337.79026
95-th percentile37.882932
Maximum37.95396
Range0.2442624
Interquartile range (IQR)0.0687523

Descriptive statistics

Standard deviation0.06426675
Coefficient of variation (CV)0.0017017233
Kurtosis1.4542203
Mean37.765687
Median Absolute Deviation (MAD)0.0171923
Skewness1.4811984
Sum1321.799
Variance0.0041302151
MonotonicityNot monotonic
2023-12-13T00:44:48.149472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
37.7194061 1
 
2.9%
37.7171211 1
 
2.9%
37.7518158 1
 
2.9%
37.7711601 1
 
2.9%
37.9539604 1
 
2.9%
37.8307228 1
 
2.9%
37.7190018 1
 
2.9%
37.7229347 1
 
2.9%
37.725168 1
 
2.9%
37.744974 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
37.709698 1
2.9%
37.712338 1
2.9%
37.7131157 1
2.9%
37.7155495 1
2.9%
37.7171211 1
2.9%
37.717598 1
2.9%
37.7190018 1
2.9%
37.7194061 1
2.9%
37.7200813 1
2.9%
37.7229347 1
2.9%
ValueCountFrequency (%)
37.9539604 1
2.9%
37.9244499 1
2.9%
37.865139 1
2.9%
37.863327 1
2.9%
37.858078 1
2.9%
37.8490753 1
2.9%
37.8307228 1
2.9%
37.8026199 1
2.9%
37.7992325 1
2.9%
37.7812881 1
2.9%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.77312
Minimum126.71175
Maximum126.91792
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-13T00:44:48.650327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.71175
5-th percentile126.71775
Q1126.74778
median126.76594
Q3126.78303
95-th percentile126.85643
Maximum126.91792
Range0.2061615
Interquartile range (IQR)0.035244

Descriptive statistics

Standard deviation0.044363708
Coefficient of variation (CV)0.0003499457
Kurtosis2.6277489
Mean126.77312
Median Absolute Deviation (MAD)0.0184097
Skewness1.4472635
Sum4437.0592
Variance0.0019681386
MonotonicityNot monotonic
2023-12-13T00:44:48.833248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
126.7520905 1
 
2.9%
126.7475281 1
 
2.9%
126.7767487 1
 
2.9%
126.7776108 1
 
2.9%
126.9179153 1
 
2.9%
126.8203812 1
 
2.9%
126.7690887 1
 
2.9%
126.7201767 1
 
2.9%
126.767843 1
 
2.9%
126.805936 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
126.7117538 1
2.9%
126.7169342 1
2.9%
126.7180939 1
2.9%
126.7201767 1
2.9%
126.7356949 1
2.9%
126.7426834 1
2.9%
126.7448959 1
2.9%
126.74746 1
2.9%
126.7475281 1
2.9%
126.7480392 1
2.9%
ValueCountFrequency (%)
126.9179153 1
2.9%
126.8747711 1
2.9%
126.8485718 1
2.9%
126.8394241 1
2.9%
126.8203812 1
2.9%
126.805936 1
2.9%
126.8046112 1
2.9%
126.790062 1
2.9%
126.7855072 1
2.9%
126.7805481 1
2.9%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
경기도 파주시청
35 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 파주시청
2nd row경기도 파주시청
3rd row경기도 파주시청
4th row경기도 파주시청
5th row경기도 파주시청

Common Values

ValueCountFrequency (%)
경기도 파주시청 35
100.0%

Length

2023-12-13T00:44:49.000870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:44:49.122797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 35
50.0%
파주시청 35
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
031-940-3794
35 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-940-3794
2nd row031-940-3794
3rd row031-940-3794
4th row031-940-3794
5th row031-940-3794

Common Values

ValueCountFrequency (%)
031-940-3794 35
100.0%

Length

2023-12-13T00:44:49.251417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:44:49.370344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-940-3794 35
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-11-21
35 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-21
2nd row2023-11-21
3rd row2023-11-21
4th row2023-11-21
5th row2023-11-21

Common Values

ValueCountFrequency (%)
2023-11-21 35
100.0%

Length

2023-12-13T00:44:49.499393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:44:49.641300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-21 35
100.0%

Interactions

2023-12-13T00:44:43.449877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:44:42.648015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:44:43.004614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:44:43.583014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:44:42.746650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:44:43.227235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:44:43.693694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:44:42.866132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:44:43.341625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:44:49.726198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호설치연도설치위치도로명주소설치위치지번주소위도경도
관리번호1.0000.9951.0000.9630.4370.564
설치연도0.9951.0001.0001.0000.2250.344
설치위치도로명주소1.0001.0001.0001.0001.0001.000
설치위치지번주소0.9631.0001.0001.0001.0000.986
위도0.4370.2251.0001.0001.0000.963
경도0.5640.3441.0000.9860.9631.000
2023-12-13T00:44:49.848843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호위도경도설치연도
관리번호1.0000.5990.3760.823
위도0.5991.0000.7030.182
경도0.3760.7031.0000.295
설치연도0.8230.1820.2951.000

Missing values

2023-12-13T00:44:43.891412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:44:44.161338image/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

관리번호설치연도설치위치도로명주소설치위치지번주소표출부가로표출부세로표출부개수운영시작시간운영종료시간표출내용위도경도관리기관명관리기관전화번호데이터기준일자
012019<NA>경기도 파주시 와동동 1412320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.719406126.75209경기도 파주시청031-940-37942023-11-21
122019<NA>경기도 파주시 와동동 1412320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.717121126.747528경기도 파주시청031-940-37942023-11-21
232019<NA>경기도 파주시 와동동 1360320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.723282126.750542경기도 파주시청031-940-37942023-11-21
342019<NA>경기도 파주시 야당동 1001320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.712338126.748288경기도 파주시청031-940-37942023-11-21
452019경기도 파주시 가온로 124-1(목동동)경기도 파주시 목동동 1083320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.720081126.744896경기도 파주시청031-940-37942023-11-21
562019경기도 파주시 와석순환로172번길 35경기도 파주시 동패동 1800320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.71555126.742683경기도 파주시청031-940-37942023-11-21
672019<NA>경기도 파주시 와동동 1412320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.717598126.759689경기도 파주시청031-940-37942023-11-21
782019경기도 파주시 책향기로 410 (동패동)경기도 파주시 동패동 1692320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.723705126.711754경기도 파주시청031-940-37942023-11-21
892019경기도 파주시 숲속노을로 256(동패동)경기도 파주시 동패동 1692320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.724052126.716934경기도 파주시청031-940-37942023-11-21
9102019<NA>경기도 파주시 금촌동 769-1320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.759512126.778151경기도 파주시청031-940-37942023-11-21
관리번호설치연도설치위치도로명주소설치위치지번주소표출부가로표출부세로표출부개수운영시작시간운영종료시간표출내용위도경도관리기관명관리기관전화번호데이터기준일자
25262020<NA>경기도 파주시 동패동 1705320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.722935126.720177경기도 파주시청031-940-37942023-11-21
26272020<NA>경기도 파주시 야당동 296-71320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.725168126.767843경기도 파주시청031-940-37942023-11-21
27282020<NA>경기도 파주시 조리읍 봉일천리 187-25320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.744974126.805936경기도 파주시청031-940-37942023-11-21
28292020<NA>경기도 파주시 금촌동 986-3320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.75182126.765938경기도 파주시청031-940-37942023-11-21
29302020경기도 파주시 금바위로 27(와동동)경기도 파주시 와동동 1348320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.727268126.757935경기도 파주시청031-940-37942023-11-21
30312020경기도 파주시 해솔로 34(목동동)경기도 파주시 목동동 665320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.726357126.748276경기도 파주시청031-940-37942023-11-21
31322020<NA>경기도 파주시 파평면 금파리 238-9320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.92445126.839424경기도 파주시청031-940-37942023-11-21
32332020<NA>경기도 파주시 탄현면 축현리 488-1320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.80262126.718094경기도 파주시청031-940-37942023-11-21
33342020경기도 파주시 문산읍 방촌로 1671경기도 파주시 문산읍 당동리 907320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.863327126.780548경기도 파주시청031-940-37942023-11-21
34352020<NA>경기도 파주시 문산읍 선유리 1412320320300:0024:00PM10, PM2.5, CO, NO2, SO2, O3, 기상정보, 기타홍보사항 등37.865139126.804611경기도 파주시청031-940-37942023-11-21