Overview

Dataset statistics

Number of variables27
Number of observations44
Missing cells983
Missing cells (%)82.7%
Duplicate rows1
Duplicate rows (%)2.3%
Total size in memory10.2 KiB
Average record size in memory238.0 B

Variable types

Unsupported19
Text6
Categorical2

Dataset

Description대기측정망운영결과2015년11월
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202598

Alerts

Dataset has 1 (2.3%) duplicate rowsDuplicates
Unnamed: 0 has 44 (100.0%) missing valuesMissing
2015년 도시 대기측정망(11월) has 29 (65.9%) missing valuesMissing
Unnamed: 2 has 26 (59.1%) missing valuesMissing
Unnamed: 3 has 21 (47.7%) missing valuesMissing
Unnamed: 4 has 21 (47.7%) missing valuesMissing
Unnamed: 7 has 22 (50.0%) missing valuesMissing
Unnamed: 8 has 28 (63.6%) missing valuesMissing
Unnamed: 9 has 44 (100.0%) missing valuesMissing
Unnamed: 10 has 44 (100.0%) missing valuesMissing
Unnamed: 11 has 44 (100.0%) missing valuesMissing
Unnamed: 12 has 44 (100.0%) missing valuesMissing
Unnamed: 13 has 44 (100.0%) missing valuesMissing
Unnamed: 14 has 44 (100.0%) missing valuesMissing
Unnamed: 15 has 44 (100.0%) missing valuesMissing
Unnamed: 16 has 44 (100.0%) missing valuesMissing
Unnamed: 17 has 44 (100.0%) missing valuesMissing
Unnamed: 18 has 44 (100.0%) missing valuesMissing
Unnamed: 19 has 44 (100.0%) missing valuesMissing
Unnamed: 20 has 44 (100.0%) missing valuesMissing
Unnamed: 21 has 44 (100.0%) missing valuesMissing
Unnamed: 22 has 44 (100.0%) missing valuesMissing
Unnamed: 23 has 44 (100.0%) missing valuesMissing
Unnamed: 24 has 44 (100.0%) missing valuesMissing
Unnamed: 25 has 44 (100.0%) missing valuesMissing
Unnamed: 26 has 44 (100.0%) missing valuesMissing
Unnamed: 0 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 21 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 22 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 23 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 24 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 25 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 26 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 03:25:45.972987
Analysis finished2024-03-14 03:25:46.220936
Duration0.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

2015년 도시 대기측정망(11월)
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing29
Missing (%)65.9%
Memory size484.0 B
2024-03-14T12:25:46.339850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length11.266667
Min length2

Characters and Unicode

Total characters169
Distinct characters73
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row측정지역
2nd row 환경기준 지 점
3rd row전주
4th row군산
5th row익산
ValueCountFrequency (%)
측정지역 1
 
2.6%
위 1
 
2.6%
전측정소 1
 
2.6%
시간 1
 
2.6%
측정치의 1
 
2.6%
누적값÷해당지역의 1
 
2.6%
모든측정소 1
 
2.6%
시간측정치수 1
 
2.6%
2 1
 
2.6%
자료는 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T12:25:46.598905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
21.9%
정 8
 
4.7%
측 6
 
3.6%
1 5
 
3.0%
전 4
 
2.4%
지 4
 
2.4%
시 4
 
2.4%
역 3
 
1.8%
경 3
 
1.8%
료 3
 
1.8%
Other values (63) 92
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111
65.7%
Space Separator 37
 
21.9%
Decimal Number 9
 
5.3%
Other Punctuation 4
 
2.4%
Close Punctuation 2
 
1.2%
Open Punctuation 2
 
1.2%
Control 2
 
1.2%
Math Symbol 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 8
 
7.2%
측 6
 
5.4%
전 4
 
3.6%
지 4
 
3.6%
시 4
 
3.6%
역 3
 
2.7%
경 3
 
2.7%
료 3
 
2.7%
자 3
 
2.7%
의 3
 
2.7%
Other values (51) 70
63.1%
Decimal Number
ValueCountFrequency (%)
1 5
55.6%
2 2
 
22.2%
0 1
 
11.1%
5 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 2
50.0%
Math Symbol
ValueCountFrequency (%)
÷ 1
50.0%
= 1
50.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111
65.7%
Common 58
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 8
 
7.2%
측 6
 
5.4%
전 4
 
3.6%
지 4
 
3.6%
시 4
 
3.6%
역 3
 
2.7%
경 3
 
2.7%
료 3
 
2.7%
자 3
 
2.7%
의 3
 
2.7%
Other values (51) 70
63.1%
Common
ValueCountFrequency (%)
37
63.8%
1 5
 
8.6%
. 2
 
3.4%
) 2
 
3.4%
, 2
 
3.4%
2 2
 
3.4%
( 2
 
3.4%
2
 
3.4%
0 1
 
1.7%
÷ 1
 
1.7%
Other values (2) 2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111
65.7%
ASCII 57
33.7%
None 1
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
64.9%
1 5
 
8.8%
. 2
 
3.5%
) 2
 
3.5%
, 2
 
3.5%
2 2
 
3.5%
( 2
 
3.5%
2
 
3.5%
0 1
 
1.8%
5 1
 
1.8%
Hangul
ValueCountFrequency (%)
정 8
 
7.2%
측 6
 
5.4%
전 4
 
3.6%
지 4
 
3.6%
시 4
 
3.6%
역 3
 
2.7%
경 3
 
2.7%
료 3
 
2.7%
자 3
 
2.7%
의 3
 
2.7%
Other values (51) 70
63.1%
None
ValueCountFrequency (%)
÷ 1
100.0%

Unnamed: 2
Text

MISSING 

Distinct16
Distinct (%)88.9%
Missing26
Missing (%)59.1%
Memory size484.0 B
2024-03-14T12:25:46.740722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.4444444
Min length2

Characters and Unicode

Total characters62
Distinct characters32
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

Unique15 ?
Unique (%)83.3%

Sample

1st row태평동
2nd row삼천동
3rd row팔복동
4th row 평 균
5th row신풍동
ValueCountFrequency (%)
평 3
14.3%
균 3
14.3%
남중동 1
 
4.8%
모현동 1
 
4.8%
지점 1
 
4.8%
부안읍 1
 
4.8%
고창읍 1
 
4.8%
죽항동 1
 
4.8%
연지동 1
 
4.8%
태평동 1
 
4.8%
Other values (7) 7
33.3%
2024-03-14T12:25:47.004405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
19.4%
동 12
19.4%
평 4
 
6.5%
균 3
 
4.8%
읍 2
 
3.2%
지 2
 
3.2%
팔 2
 
3.2%
현 1
 
1.6%
모 1
 
1.6%
점 1
 
1.6%
Other values (22) 22
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50
80.6%
Space Separator 12
 
19.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12
24.0%
평 4
 
8.0%
균 3
 
6.0%
읍 2
 
4.0%
지 2
 
4.0%
팔 2
 
4.0%
현 1
 
2.0%
모 1
 
2.0%
점 1
 
2.0%
연 1
 
2.0%
Other values (21) 21
42.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50
80.6%
Common 12
 
19.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12
24.0%
평 4
 
8.0%
균 3
 
6.0%
읍 2
 
4.0%
지 2
 
4.0%
팔 2
 
4.0%
현 1
 
2.0%
모 1
 
2.0%
점 1
 
2.0%
연 1
 
2.0%
Other values (21) 21
42.0%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50
80.6%
ASCII 12
 
19.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
100.0%
Hangul
ValueCountFrequency (%)
동 12
24.0%
평 4
 
8.0%
균 3
 
6.0%
읍 2
 
4.0%
지 2
 
4.0%
팔 2
 
4.0%
현 1
 
2.0%
모 1
 
2.0%
점 1
 
2.0%
연 1
 
2.0%
Other values (21) 21
42.0%

Unnamed: 3
Text

MISSING 

Distinct14
Distinct (%)60.9%
Missing21
Missing (%)47.7%
Memory size484.0 B
2024-03-14T12:25:47.162951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length6
Mean length6.7826087
Min length1

Characters and Unicode

Total characters156
Distinct characters26
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)43.5%

Sample

1st row측 정 항 목
2nd rowO3
3rd row8시간평균0.06ppm이하
4th row1시간평균 0.10ppm이하
5th row0.016
ValueCountFrequency (%)
0.016 5
18.5%
0.017 4
14.8%
o3 2
 
7.4%
0.019 2
 
7.4%
0.020 1
 
3.7%
0.027 1
 
3.7%
0.018 1
 
3.7%
0.013 1
 
3.7%
0.014 1
 
3.7%
0.015 1
 
3.7%
Other values (8) 8
29.6%
2024-03-14T12:25:47.417012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 39
25.0%
34
21.8%
. 19
12.2%
1 17
10.9%
6 6
 
3.8%
7 5
 
3.2%
p 4
 
2.6%
3 3
 
1.9%
간 2
 
1.3%
2 2
 
1.3%
Other values (16) 25
16.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78
50.0%
Space Separator 34
21.8%
Other Punctuation 19
 
12.2%
Other Letter 16
 
10.3%
Lowercase Letter 6
 
3.8%
Uppercase Letter 2
 
1.3%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39
50.0%
1 17
21.8%
6 6
 
7.7%
7 5
 
6.4%
3 3
 
3.8%
2 2
 
2.6%
8 2
 
2.6%
9 2
 
2.6%
5 1
 
1.3%
4 1
 
1.3%
Other Letter
ValueCountFrequency (%)
간 2
12.5%
하 2
12.5%
이 2
12.5%
균 2
12.5%
평 2
12.5%
시 2
12.5%
목 1
6.2%
항 1
6.2%
정 1
6.2%
측 1
6.2%
Lowercase Letter
ValueCountFrequency (%)
p 4
66.7%
m 2
33.3%
Space Separator
ValueCountFrequency (%)
34
100.0%
Other Punctuation
ValueCountFrequency (%)
. 19
100.0%
Uppercase Letter
ValueCountFrequency (%)
O 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 132
84.6%
Hangul 16
 
10.3%
Latin 8
 
5.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 39
29.5%
34
25.8%
. 19
14.4%
1 17
12.9%
6 6
 
4.5%
7 5
 
3.8%
3 3
 
2.3%
2 2
 
1.5%
8 2
 
1.5%
9 2
 
1.5%
Other values (3) 3
 
2.3%
Hangul
ValueCountFrequency (%)
간 2
12.5%
하 2
12.5%
이 2
12.5%
균 2
12.5%
평 2
12.5%
시 2
12.5%
목 1
6.2%
항 1
6.2%
정 1
6.2%
측 1
6.2%
Latin
ValueCountFrequency (%)
p 4
50.0%
m 2
25.0%
O 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140
89.7%
Hangul 16
 
10.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 39
27.9%
34
24.3%
. 19
13.6%
1 17
12.1%
6 6
 
4.3%
7 5
 
3.6%
p 4
 
2.9%
3 3
 
2.1%
2 2
 
1.4%
m 2
 
1.4%
Other values (6) 9
 
6.4%
Hangul
ValueCountFrequency (%)
간 2
12.5%
하 2
12.5%
이 2
12.5%
균 2
12.5%
평 2
12.5%
시 2
12.5%
목 1
6.2%
항 1
6.2%
정 1
6.2%
측 1
6.2%

Unnamed: 4
Text

MISSING 

Distinct15
Distinct (%)65.2%
Missing21
Missing (%)47.7%
Memory size484.0 B
2024-03-14T12:25:47.581402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length6
Mean length7
Min length3

Characters and Unicode

Total characters161
Distinct characters22
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)43.5%

Sample

1st rowNO2
2nd row연간 평균O.O3ppm 이하
3rd row24시간평균0.06ppm 이하
4th row1시간평균 0.10ppm 이하
5th row0.022
ValueCountFrequency (%)
0.021 4
14.3%
이하 3
 
10.7%
0.022 3
 
10.7%
no2 2
 
7.1%
0.017 2
 
7.1%
0.016 2
 
7.1%
0.020 1
 
3.6%
0.019 1
 
3.6%
0.018 1
 
3.6%
0.012 1
 
3.6%
Other values (8) 8
28.6%
2024-03-14T12:25:47.837530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41
25.5%
23
14.3%
. 21
13.0%
2 17
10.6%
1 14
 
8.7%
p 6
 
3.7%
O 4
 
2.5%
균 3
 
1.9%
하 3
 
1.9%
이 3
 
1.9%
Other values (12) 26
16.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 84
52.2%
Space Separator 23
 
14.3%
Other Punctuation 21
 
13.0%
Other Letter 18
 
11.2%
Lowercase Letter 9
 
5.6%
Uppercase Letter 6
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41
48.8%
2 17
20.2%
1 14
 
16.7%
3 3
 
3.6%
6 3
 
3.6%
7 2
 
2.4%
4 2
 
2.4%
8 1
 
1.2%
9 1
 
1.2%
Other Letter
ValueCountFrequency (%)
균 3
16.7%
하 3
16.7%
이 3
16.7%
평 3
16.7%
간 3
16.7%
시 2
11.1%
연 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
p 6
66.7%
m 3
33.3%
Uppercase Letter
ValueCountFrequency (%)
O 4
66.7%
N 2
33.3%
Space Separator
ValueCountFrequency (%)
23
100.0%
Other Punctuation
ValueCountFrequency (%)
. 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 128
79.5%
Hangul 18
 
11.2%
Latin 15
 
9.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41
32.0%
23
18.0%
. 21
16.4%
2 17
13.3%
1 14
 
10.9%
3 3
 
2.3%
6 3
 
2.3%
7 2
 
1.6%
4 2
 
1.6%
8 1
 
0.8%
Hangul
ValueCountFrequency (%)
균 3
16.7%
하 3
16.7%
이 3
16.7%
평 3
16.7%
간 3
16.7%
시 2
11.1%
연 1
 
5.6%
Latin
ValueCountFrequency (%)
p 6
40.0%
O 4
26.7%
m 3
20.0%
N 2
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 143
88.8%
Hangul 18
 
11.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41
28.7%
23
16.1%
. 21
14.7%
2 17
11.9%
1 14
 
9.8%
p 6
 
4.2%
O 4
 
2.8%
m 3
 
2.1%
3 3
 
2.1%
6 3
 
2.1%
Other values (5) 8
 
5.6%
Hangul
ValueCountFrequency (%)
균 3
16.7%
하 3
16.7%
이 3
16.7%
평 3
16.7%
간 3
16.7%
시 2
11.1%
연 1
 
5.6%

Unnamed: 5
Categorical

Distinct10
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
21 
0.004
10 
0.003
4 
SO2
 
2
0.006
 
2
Other values (5)
5 

Length

Max length16
Median length14
Mean length5.4772727
Min length3

Unique

Unique5 ?
Unique (%)11.4%

Sample

1st row<NA>
2nd row<NA>
3rd rowSO2
4th row연간평균O.O2ppm이하
5th row24시간 평균O.O5ppm이하

Common Values

ValueCountFrequency (%)
<NA> 21
47.7%
0.004 10
22.7%
0.003 4
 
9.1%
SO2 2
 
4.5%
0.006 2
 
4.5%
연간평균O.O2ppm이하 1
 
2.3%
24시간 평균O.O5ppm이하 1
 
2.3%
1시간평균0.15ppm이하 1
 
2.3%
0.005 1
 
2.3%
0.002 1
 
2.3%

Length

2024-03-14T12:25:47.975641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:25:48.084397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
46.7%
0.004 10
22.2%
0.003 4
 
8.9%
so2 2
 
4.4%
0.006 2
 
4.4%
연간평균o.o2ppm이하 1
 
2.2%
24시간 1
 
2.2%
평균o.o5ppm이하 1
 
2.2%
1시간평균0.15ppm이하 1
 
2.2%
0.005 1
 
2.2%

Unnamed: 6
Categorical

Distinct8
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
22 
0.5
10 
0.6
6 
CO
 
2
8시간평균 9ppm이하
 
1
Other values (3)
3 

Length

Max length13
Median length4
Mean length4.3181818
Min length2

Unique

Unique4 ?
Unique (%)9.1%

Sample

1st row<NA>
2nd row<NA>
3rd rowCO
4th row8시간평균 9ppm이하
5th row1시간평균 25ppm이하

Common Values

ValueCountFrequency (%)
<NA> 22
50.0%
0.5 10
22.7%
0.6 6
 
13.6%
CO 2
 
4.5%
8시간평균 9ppm이하 1
 
2.3%
1시간평균 25ppm이하 1
 
2.3%
0.3 1
 
2.3%
0.7 1
 
2.3%

Length

2024-03-14T12:25:48.215757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:25:48.325247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
47.8%
0.5 10
21.7%
0.6 6
 
13.0%
co 2
 
4.3%
8시간평균 1
 
2.2%
9ppm이하 1
 
2.2%
1시간평균 1
 
2.2%
25ppm이하 1
 
2.2%
0.3 1
 
2.2%
0.7 1
 
2.2%

Unnamed: 7
Text

MISSING 

Distinct15
Distinct (%)68.2%
Missing22
Missing (%)50.0%
Memory size484.0 B
2024-03-14T12:25:48.476741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length4
Min length1

Characters and Unicode

Total characters88
Distinct characters24
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)36.4%

Sample

1st rowPM-10
2nd row연간평균 50㎍/㎥이하
3rd row24시간평균100㎍/㎥이하
4th row38
5th row46
ValueCountFrequency (%)
pm-10 2
 
8.7%
38 2
 
8.7%
46 2
 
8.7%
43 2
 
8.7%
39 2
 
8.7%
33 2
 
8.7%
48 2
 
8.7%
연간평균 1
 
4.3%
50㎍/㎥이하 1
 
4.3%
24시간평균100㎍/㎥이하 1
 
4.3%
Other values (6) 6
26.1%
2024-03-14T12:25:48.729280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
20.5%
3 11
12.5%
4 11
12.5%
0 5
 
5.7%
8 4
 
4.5%
- 3
 
3.4%
1 3
 
3.4%
6 3
 
3.4%
P 2
 
2.3%
㎍ 2
 
2.3%
Other values (14) 26
29.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 45
51.1%
Space Separator 18
 
20.5%
Other Letter 12
 
13.6%
Uppercase Letter 4
 
4.5%
Other Symbol 4
 
4.5%
Dash Punctuation 3
 
3.4%
Other Punctuation 2
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 11
24.4%
4 11
24.4%
0 5
11.1%
8 4
 
8.9%
1 3
 
6.7%
6 3
 
6.7%
2 2
 
4.4%
5 2
 
4.4%
9 2
 
4.4%
7 2
 
4.4%
Other Letter
ValueCountFrequency (%)
하 2
16.7%
이 2
16.7%
간 2
16.7%
균 2
16.7%
평 2
16.7%
연 1
8.3%
시 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
P 2
50.0%
M 2
50.0%
Other Symbol
ValueCountFrequency (%)
㎍ 2
50.0%
㎥ 2
50.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72
81.8%
Hangul 12
 
13.6%
Latin 4
 
4.5%

Most frequent character per script

Common
ValueCountFrequency (%)
18
25.0%
3 11
15.3%
4 11
15.3%
0 5
 
6.9%
8 4
 
5.6%
- 3
 
4.2%
1 3
 
4.2%
6 3
 
4.2%
㎍ 2
 
2.8%
2 2
 
2.8%
Other values (5) 10
13.9%
Hangul
ValueCountFrequency (%)
하 2
16.7%
이 2
16.7%
간 2
16.7%
균 2
16.7%
평 2
16.7%
연 1
8.3%
시 1
8.3%
Latin
ValueCountFrequency (%)
P 2
50.0%
M 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72
81.8%
Hangul 12
 
13.6%
CJK Compat 4
 
4.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
25.0%
3 11
15.3%
4 11
15.3%
0 5
 
6.9%
8 4
 
5.6%
- 3
 
4.2%
1 3
 
4.2%
6 3
 
4.2%
P 2
 
2.8%
2 2
 
2.8%
Other values (5) 10
13.9%
CJK Compat
ValueCountFrequency (%)
㎍ 2
50.0%
㎥ 2
50.0%
Hangul
ValueCountFrequency (%)
하 2
16.7%
이 2
16.7%
간 2
16.7%
균 2
16.7%
평 2
16.7%
연 1
8.3%
시 1
8.3%

Unnamed: 8
Text

MISSING 

Distinct12
Distinct (%)75.0%
Missing28
Missing (%)63.6%
Memory size484.0 B
2024-03-14T12:25:48.863420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length4.5625
Min length3

Characters and Unicode

Total characters73
Distinct characters23
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)50.0%

Sample

1st rowPM-2.5
2nd row연간평균 25㎍/㎥이하
3rd row24시간평균50㎍/㎥이하
4th row36
5th row35
ValueCountFrequency (%)
pm-2.5 2
11.8%
35 2
11.8%
39 2
11.8%
40 2
11.8%
연간평균 1
 
5.9%
25㎍/㎥이하 1
 
5.9%
24시간평균50㎍/㎥이하 1
 
5.9%
36 1
 
5.9%
30 1
 
5.9%
33 1
 
5.9%
Other values (3) 3
17.6%
2024-03-14T12:25:49.087852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
17.8%
3 10
13.7%
2 6
 
8.2%
5 6
 
8.2%
0 4
 
5.5%
4 3
 
4.1%
P 2
 
2.7%
균 2
 
2.7%
하 2
 
2.7%
이 2
 
2.7%
Other values (13) 23
31.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34
46.6%
Space Separator 13
 
17.8%
Other Letter 12
 
16.4%
Uppercase Letter 4
 
5.5%
Other Symbol 4
 
5.5%
Other Punctuation 4
 
5.5%
Dash Punctuation 2
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 10
29.4%
2 6
17.6%
5 6
17.6%
0 4
 
11.8%
4 3
 
8.8%
7 2
 
5.9%
9 2
 
5.9%
6 1
 
2.9%
Other Letter
ValueCountFrequency (%)
균 2
16.7%
하 2
16.7%
이 2
16.7%
평 2
16.7%
간 2
16.7%
시 1
8.3%
연 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
P 2
50.0%
M 2
50.0%
Other Symbol
ValueCountFrequency (%)
㎥ 2
50.0%
㎍ 2
50.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57
78.1%
Hangul 12
 
16.4%
Latin 4
 
5.5%

Most frequent character per script

Common
ValueCountFrequency (%)
13
22.8%
3 10
17.5%
2 6
10.5%
5 6
10.5%
0 4
 
7.0%
4 3
 
5.3%
㎥ 2
 
3.5%
/ 2
 
3.5%
㎍ 2
 
3.5%
7 2
 
3.5%
Other values (4) 7
12.3%
Hangul
ValueCountFrequency (%)
균 2
16.7%
하 2
16.7%
이 2
16.7%
평 2
16.7%
간 2
16.7%
시 1
8.3%
연 1
8.3%
Latin
ValueCountFrequency (%)
P 2
50.0%
M 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57
78.1%
Hangul 12
 
16.4%
CJK Compat 4
 
5.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
22.8%
3 10
17.5%
2 6
10.5%
5 6
10.5%
0 4
 
7.0%
4 3
 
5.3%
P 2
 
3.5%
/ 2
 
3.5%
7 2
 
3.5%
M 2
 
3.5%
Other values (4) 7
12.3%
Hangul
ValueCountFrequency (%)
균 2
16.7%
하 2
16.7%
이 2
16.7%
평 2
16.7%
간 2
16.7%
시 1
8.3%
연 1
8.3%
CJK Compat
ValueCountFrequency (%)
㎥ 2
50.0%
㎍ 2
50.0%

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 21
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 22
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 23
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 24
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 25
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Unnamed: 26
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

Sample

Unnamed: 02015년 도시 대기측정망(11월)Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1<NA>측정지역<NA>측 정 항 목<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2<NA>환경기준 지 점<NA>O3NO2SO2COPM-10PM-2.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3<NA><NA><NA>8시간평균0.06ppm이하연간 평균O.O3ppm 이하연간평균O.O2ppm이하8시간평균 9ppm이하연간평균 50㎍/㎥이하연간평균 25㎍/㎥이하<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4<NA><NA><NA>1시간평균 0.10ppm이하24시간평균0.06ppm 이하24시간 평균O.O5ppm이하1시간평균 25ppm이하24시간평균100㎍/㎥이하24시간평균50㎍/㎥이하<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5<NA><NA><NA><NA>1시간평균 0.10ppm 이하1시간평균0.15ppm이하<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6<NA>전주태평동0.0160.0220.0040.53836<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7<NA><NA>삼천동0.0160.0230.0060.646<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8<NA><NA>팔복동0.0160.0220.0060.544<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9<NA><NA>평 균0.0160.0220.0050.543<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
Unnamed: 02015년 도시 대기측정망(11월)Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26
34<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
35<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
36<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
37<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
38<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
39<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
40<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
41<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
42<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

2015년 도시 대기측정망(11월)Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA>17