Overview

Dataset statistics

Number of variables27
Number of observations44
Missing cells1026
Missing cells (%)86.4%
Duplicate rows1
Duplicate rows (%)2.3%
Total size in memory10.3 KiB
Average record size in memory239.0 B

Variable types

Unsupported20
Text6
Categorical1

Dataset

Description대기측정망운영결과2014년10월
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201482

Alerts

Dataset has 1 (2.3%) duplicate rowsDuplicates
Unnamed: 0 has 44 (100.0%) missing valuesMissing
2014년 도시 대기측정망(10월) has 30 (68.2%) missing valuesMissing
Unnamed: 2 has 27 (61.4%) missing valuesMissing
Unnamed: 3 has 22 (50.0%) missing valuesMissing
Unnamed: 4 has 22 (50.0%) missing valuesMissing
Unnamed: 5 has 22 (50.0%) missing valuesMissing
Unnamed: 7 has 23 (52.3%) missing valuesMissing
Unnamed: 8 has 44 (100.0%) 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: 8 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 01:07:15.017909
Analysis finished2024-03-14 01:07:15.236768
Duration0.22 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

2014년 도시 대기측정망(10월)
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing30
Missing (%)68.2%
Memory size484.0 B
2024-03-14T10:07:15.392913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length12
Min length2

Characters and Unicode

Total characters168
Distinct characters72
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

Unique14 ?
Unique (%)100.0%

Sample

1st row측정지역
2nd row 환경기준 지 점
3rd row전주
4th row군산
5th row익산
ValueCountFrequency (%)
측정지역 1
 
2.7%
해당지역의 1
 
2.7%
시간 1
 
2.7%
측정치의 1
 
2.7%
누적값÷해당지역의 1
 
2.7%
모든측정소 1
 
2.7%
시간측정치수 1
 
2.7%
2 1
 
2.7%
위 1
 
2.7%
자료는 1
 
2.7%
Other values (27) 27
73.0%
2024-03-14T10:07:15.675642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
22.0%
정 8
 
4.8%
측 6
 
3.6%
전 4
 
2.4%
1 4
 
2.4%
시 4
 
2.4%
지 4
 
2.4%
경 3
 
1.8%
료 3
 
1.8%
자 3
 
1.8%
Other values (62) 92
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109
64.9%
Space Separator 37
 
22.0%
Decimal Number 9
 
5.4%
Other Punctuation 4
 
2.4%
Control 3
 
1.8%
Open Punctuation 2
 
1.2%
Close Punctuation 2
 
1.2%
Math Symbol 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 8
 
7.3%
측 6
 
5.5%
전 4
 
3.7%
시 4
 
3.7%
지 4
 
3.7%
경 3
 
2.8%
료 3
 
2.8%
자 3
 
2.8%
환 3
 
2.8%
역 3
 
2.8%
Other values (50) 68
62.4%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
2 2
22.2%
0 2
22.2%
4 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%
Control
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109
64.9%
Common 59
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 8
 
7.3%
측 6
 
5.5%
전 4
 
3.7%
시 4
 
3.7%
지 4
 
3.7%
경 3
 
2.8%
료 3
 
2.8%
자 3
 
2.8%
환 3
 
2.8%
역 3
 
2.8%
Other values (50) 68
62.4%
Common
ValueCountFrequency (%)
37
62.7%
1 4
 
6.8%
3
 
5.1%
. 2
 
3.4%
( 2
 
3.4%
, 2
 
3.4%
) 2
 
3.4%
2 2
 
3.4%
0 2
 
3.4%
4 1
 
1.7%
Other values (2) 2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109
64.9%
ASCII 58
34.5%
None 1
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
63.8%
1 4
 
6.9%
3
 
5.2%
. 2
 
3.4%
( 2
 
3.4%
, 2
 
3.4%
) 2
 
3.4%
2 2
 
3.4%
0 2
 
3.4%
4 1
 
1.7%
Hangul
ValueCountFrequency (%)
정 8
 
7.3%
측 6
 
5.5%
전 4
 
3.7%
시 4
 
3.7%
지 4
 
3.7%
경 3
 
2.8%
료 3
 
2.8%
자 3
 
2.8%
환 3
 
2.8%
역 3
 
2.8%
Other values (50) 68
62.4%
None
ValueCountFrequency (%)
÷ 1
100.0%

Unnamed: 2
Text

MISSING 

Distinct15
Distinct (%)88.2%
Missing27
Missing (%)61.4%
Memory size484.0 B
2024-03-14T10:07:15.812488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.4705882
Min length2

Characters and Unicode

Total characters59
Distinct characters30
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

Unique14 ?
Unique (%)82.4%

Sample

1st row태평동
2nd row삼천동
3rd row팔복동
4th row 평 균
5th row신풍동
ValueCountFrequency (%)
평 3
15.0%
균 3
15.0%
태평동 1
 
5.0%
삼천동 1
 
5.0%
팔복동 1
 
5.0%
신풍동 1
 
5.0%
소룡동 1
 
5.0%
개정동 1
 
5.0%
팔봉동 1
 
5.0%
모현동 1
 
5.0%
Other values (6) 6
30.0%
2024-03-14T10:07:16.064486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
20.3%
동 12
20.3%
평 4
 
6.8%
균 3
 
5.1%
팔 2
 
3.4%
지 2
 
3.4%
항 1
 
1.7%
중 1
 
1.7%
연 1
 
1.7%
죽 1
 
1.7%
Other values (20) 20
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47
79.7%
Space Separator 12
 
20.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 12
25.5%
평 4
 
8.5%
균 3
 
6.4%
팔 2
 
4.3%
지 2
 
4.3%
항 1
 
2.1%
중 1
 
2.1%
연 1
 
2.1%
죽 1
 
2.1%
창 1
 
2.1%
Other values (19) 19
40.4%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47
79.7%
Common 12
 
20.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 12
25.5%
평 4
 
8.5%
균 3
 
6.4%
팔 2
 
4.3%
지 2
 
4.3%
항 1
 
2.1%
중 1
 
2.1%
연 1
 
2.1%
죽 1
 
2.1%
창 1
 
2.1%
Other values (19) 19
40.4%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47
79.7%
ASCII 12
 
20.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
100.0%
Hangul
ValueCountFrequency (%)
동 12
25.5%
평 4
 
8.5%
균 3
 
6.4%
팔 2
 
4.3%
지 2
 
4.3%
항 1
 
2.1%
중 1
 
2.1%
연 1
 
2.1%
죽 1
 
2.1%
창 1
 
2.1%
Other values (19) 19
40.4%

Unnamed: 3
Text

MISSING 

Distinct15
Distinct (%)68.2%
Missing22
Missing (%)50.0%
Memory size484.0 B
2024-03-14T10:07:16.227366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length6
Mean length6.8181818
Min length1

Characters and Unicode

Total characters150
Distinct characters25
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

Unique11 ?
Unique (%)50.0%

Sample

1st row측 정 항 목
2nd rowO3
3rd row8시간평균0.06ppm이하
4th row1시간평균 0.10ppm이하
5th row0.024
ValueCountFrequency (%)
0.025 4
15.4%
0.026 3
 
11.5%
o3 2
 
7.7%
0.023 2
 
7.7%
0.024 1
 
3.8%
0.034 1
 
3.8%
0.020 1
 
3.8%
0.028 1
 
3.8%
0.029 1
 
3.8%
0.030 1
 
3.8%
Other values (9) 9
34.6%
2024-03-14T10:07:16.550072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 38
25.3%
33
22.0%
. 18
12.0%
2 13
 
8.7%
3 6
 
4.0%
5 4
 
2.7%
6 4
 
2.7%
p 4
 
2.7%
1 3
 
2.0%
균 2
 
1.3%
Other values (15) 25
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 74
49.3%
Space Separator 33
22.0%
Other Punctuation 19
 
12.7%
Other Letter 16
 
10.7%
Lowercase Letter 6
 
4.0%
Uppercase Letter 2
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
균 2
12.5%
하 2
12.5%
이 2
12.5%
평 2
12.5%
간 2
12.5%
시 2
12.5%
목 1
6.2%
항 1
6.2%
정 1
6.2%
측 1
6.2%
Decimal Number
ValueCountFrequency (%)
0 38
51.4%
2 13
 
17.6%
3 6
 
8.1%
5 4
 
5.4%
6 4
 
5.4%
1 3
 
4.1%
9 2
 
2.7%
4 2
 
2.7%
8 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 18
94.7%
* 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
p 4
66.7%
m 2
33.3%
Space Separator
ValueCountFrequency (%)
33
100.0%
Uppercase Letter
ValueCountFrequency (%)
O 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 126
84.0%
Hangul 16
 
10.7%
Latin 8
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 38
30.2%
33
26.2%
. 18
14.3%
2 13
 
10.3%
3 6
 
4.8%
5 4
 
3.2%
6 4
 
3.2%
1 3
 
2.4%
9 2
 
1.6%
4 2
 
1.6%
Other values (2) 3
 
2.4%
Hangul
ValueCountFrequency (%)
균 2
12.5%
하 2
12.5%
이 2
12.5%
평 2
12.5%
간 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 134
89.3%
Hangul 16
 
10.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 38
28.4%
33
24.6%
. 18
13.4%
2 13
 
9.7%
3 6
 
4.5%
5 4
 
3.0%
6 4
 
3.0%
p 4
 
3.0%
1 3
 
2.2%
9 2
 
1.5%
Other values (5) 9
 
6.7%
Hangul
ValueCountFrequency (%)
균 2
12.5%
하 2
12.5%
이 2
12.5%
평 2
12.5%
간 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 

Distinct16
Distinct (%)72.7%
Missing22
Missing (%)50.0%
Memory size484.0 B
2024-03-14T10:07:16.684608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length6
Mean length7.0454545
Min length3

Characters and Unicode

Total characters155
Distinct characters23
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

Unique12 ?
Unique (%)54.5%

Sample

1st rowNO2
2nd row연간 평균O.O3ppm 이하
3rd row24시간평균0.06ppm 이하
4th row1시간평균 0.10ppm 이하
5th row0.015
ValueCountFrequency (%)
0.018 4
14.8%
이하 3
 
11.1%
0.021 2
 
7.4%
no2 2
 
7.4%
0.014 2
 
7.4%
0.020 1
 
3.7%
0.017 1
 
3.7%
0.009 1
 
3.7%
0.010 1
 
3.7%
0.016 1
 
3.7%
Other values (9) 9
33.3%
2024-03-14T10:07:16.925770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 42
27.1%
22
14.2%
. 20
12.9%
1 16
 
10.3%
2 6
 
3.9%
p 6
 
3.9%
8 4
 
2.6%
O 4
 
2.6%
균 3
 
1.9%
하 3
 
1.9%
Other values (13) 29
18.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80
51.6%
Space Separator 22
 
14.2%
Other Punctuation 20
 
12.9%
Other Letter 18
 
11.6%
Lowercase Letter 9
 
5.8%
Uppercase Letter 6
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42
52.5%
1 16
 
20.0%
2 6
 
7.5%
8 4
 
5.0%
4 3
 
3.8%
3 2
 
2.5%
6 2
 
2.5%
9 2
 
2.5%
7 2
 
2.5%
5 1
 
1.2%
Other Letter
ValueCountFrequency (%)
균 3
16.7%
하 3
16.7%
이 3
16.7%
간 3
16.7%
평 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 (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
. 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 122
78.7%
Hangul 18
 
11.6%
Latin 15
 
9.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 42
34.4%
22
18.0%
. 20
16.4%
1 16
 
13.1%
2 6
 
4.9%
8 4
 
3.3%
4 3
 
2.5%
3 2
 
1.6%
6 2
 
1.6%
9 2
 
1.6%
Other values (2) 3
 
2.5%
Hangul
ValueCountFrequency (%)
균 3
16.7%
하 3
16.7%
이 3
16.7%
간 3
16.7%
평 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 137
88.4%
Hangul 18
 
11.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 42
30.7%
22
16.1%
. 20
14.6%
1 16
 
11.7%
2 6
 
4.4%
p 6
 
4.4%
8 4
 
2.9%
O 4
 
2.9%
m 3
 
2.2%
4 3
 
2.2%
Other values (6) 11
 
8.0%
Hangul
ValueCountFrequency (%)
균 3
16.7%
하 3
16.7%
이 3
16.7%
간 3
16.7%
평 3
16.7%
시 2
11.1%
연 1
 
5.6%

Unnamed: 5
Text

MISSING 

Distinct11
Distinct (%)50.0%
Missing22
Missing (%)50.0%
Memory size484.0 B
2024-03-14T10:07:17.054250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length6
Mean length6.6363636
Min length1

Characters and Unicode

Total characters146
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

Unique7 ?
Unique (%)31.8%

Sample

1st rowSO2
2nd row연간평균O.O2ppm이하
3rd row24시간 평균O.O5ppm이하
4th row1시간평균0.15ppm이하
5th row0.003
ValueCountFrequency (%)
0.004 7
30.4%
0.003 3
13.0%
0.005 3
13.0%
so2 2
 
8.7%
연간평균o.o2ppm이하 1
 
4.3%
24시간 1
 
4.3%
평균o.o5ppm이하 1
 
4.3%
1시간평균0.15ppm이하 1
 
4.3%
0.006 1
 
4.3%
0.007 1
 
4.3%
Other values (2) 2
 
8.7%
2024-03-14T10:07:17.302887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 49
33.6%
. 19
 
13.0%
17
 
11.6%
4 8
 
5.5%
O 6
 
4.1%
p 6
 
4.1%
5 5
 
3.4%
2 5
 
3.4%
균 3
 
2.1%
하 3
 
2.1%
Other values (12) 25
17.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 74
50.7%
Other Punctuation 20
 
13.7%
Other Letter 18
 
12.3%
Space Separator 17
 
11.6%
Lowercase Letter 9
 
6.2%
Uppercase Letter 8
 
5.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 49
66.2%
4 8
 
10.8%
5 5
 
6.8%
2 5
 
6.8%
3 3
 
4.1%
1 2
 
2.7%
6 1
 
1.4%
7 1
 
1.4%
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%
Other Punctuation
ValueCountFrequency (%)
. 19
95.0%
* 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
O 6
75.0%
S 2
 
25.0%
Lowercase Letter
ValueCountFrequency (%)
p 6
66.7%
m 3
33.3%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 111
76.0%
Hangul 18
 
12.3%
Latin 17
 
11.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 49
44.1%
. 19
 
17.1%
17
 
15.3%
4 8
 
7.2%
5 5
 
4.5%
2 5
 
4.5%
3 3
 
2.7%
1 2
 
1.8%
6 1
 
0.9%
7 1
 
0.9%
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 (%)
O 6
35.3%
p 6
35.3%
m 3
17.6%
S 2
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 128
87.7%
Hangul 18
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 49
38.3%
. 19
 
14.8%
17
 
13.3%
4 8
 
6.2%
O 6
 
4.7%
p 6
 
4.7%
5 5
 
3.9%
2 5
 
3.9%
m 3
 
2.3%
3 3
 
2.3%
Other values (5) 7
 
5.5%
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: 6
Categorical

Distinct10
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
23 
0.3
5 
0.5
4 
0.4
3 
CO
 
2
Other values (5)
7 

Length

Max length13
Median length4
Mean length4.3181818
Min length2

Unique

Unique3 ?
Unique (%)6.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 23
52.3%
0.3 5
 
11.4%
0.5 4
 
9.1%
0.4 3
 
6.8%
CO 2
 
4.5%
0.7 2
 
4.5%
0.6 2
 
4.5%
8시간평균 9ppm이하 1
 
2.3%
1시간평균 25ppm이하 1
 
2.3%
0.2 1
 
2.3%

Length

2024-03-14T10:07:17.406117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:07:17.545197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
50.0%
0.3 5
 
10.9%
0.5 4
 
8.7%
0.4 3
 
6.5%
co 2
 
4.3%
0.7 2
 
4.3%
0.6 2
 
4.3%
8시간평균 1
 
2.2%
9ppm이하 1
 
2.2%
1시간평균 1
 
2.2%
Other values (2) 2
 
4.3%

Unnamed: 7
Text

MISSING 

Distinct16
Distinct (%)76.2%
Missing23
Missing (%)52.3%
Memory size484.0 B
2024-03-14T10:07:17.744156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length4.0952381
Min length2

Characters and Unicode

Total characters86
Distinct characters25
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

Unique13 ?
Unique (%)61.9%

Sample

1st rowPM-10
2nd row연간평균 50㎍/㎥이하
3rd row24시간평균100㎍/㎥이하
4th row34
5th row40
ValueCountFrequency (%)
37 4
18.2%
pm-10 2
 
9.1%
34 2
 
9.1%
51 1
 
4.5%
53 1
 
4.5%
39 1
 
4.5%
동불 1
 
4.5%
35 1
 
4.5%
47 1
 
4.5%
41 1
 
4.5%
Other values (7) 7
31.8%
2024-03-14T10:07:17.966545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
19.8%
3 10
 
11.6%
4 6
 
7.0%
1 6
 
7.0%
0 6
 
7.0%
5 5
 
5.8%
7 5
 
5.8%
2 2
 
2.3%
하 2
 
2.3%
이 2
 
2.3%
Other values (15) 25
29.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43
50.0%
Space Separator 17
 
19.8%
Other Letter 14
 
16.3%
Other Symbol 4
 
4.7%
Uppercase Letter 4
 
4.7%
Other Punctuation 2
 
2.3%
Dash Punctuation 2
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 10
23.3%
4 6
14.0%
1 6
14.0%
0 6
14.0%
5 5
11.6%
7 5
11.6%
2 2
 
4.7%
9 2
 
4.7%
6 1
 
2.3%
Other Letter
ValueCountFrequency (%)
하 2
14.3%
이 2
14.3%
평 2
14.3%
균 2
14.3%
간 2
14.3%
연 1
7.1%
시 1
7.1%
동 1
7.1%
불 1
7.1%
Other Symbol
ValueCountFrequency (%)
㎥ 2
50.0%
㎍ 2
50.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
50.0%
P 2
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68
79.1%
Hangul 14
 
16.3%
Latin 4
 
4.7%

Most frequent character per script

Common
ValueCountFrequency (%)
17
25.0%
3 10
14.7%
4 6
 
8.8%
1 6
 
8.8%
0 6
 
8.8%
5 5
 
7.4%
7 5
 
7.4%
2 2
 
2.9%
㎥ 2
 
2.9%
/ 2
 
2.9%
Other values (4) 7
10.3%
Hangul
ValueCountFrequency (%)
하 2
14.3%
이 2
14.3%
평 2
14.3%
균 2
14.3%
간 2
14.3%
연 1
7.1%
시 1
7.1%
동 1
7.1%
불 1
7.1%
Latin
ValueCountFrequency (%)
M 2
50.0%
P 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68
79.1%
Hangul 14
 
16.3%
CJK Compat 4
 
4.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
25.0%
3 10
14.7%
4 6
 
8.8%
1 6
 
8.8%
0 6
 
8.8%
5 5
 
7.4%
7 5
 
7.4%
2 2
 
2.9%
/ 2
 
2.9%
- 2
 
2.9%
Other values (4) 7
10.3%
Hangul
ValueCountFrequency (%)
하 2
14.3%
이 2
14.3%
평 2
14.3%
균 2
14.3%
간 2
14.3%
연 1
7.1%
시 1
7.1%
동 1
7.1%
불 1
7.1%
CJK Compat
ValueCountFrequency (%)
㎥ 2
50.0%
㎍ 2
50.0%

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

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: 02014년 도시 대기측정망(10월)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-10<NA><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㎍/㎥이하<NA><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㎍/㎥이하<NA><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>전주태평동0.0240.0150.0030.334<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7<NA><NA>삼천동0.0250.0210.0030.440<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8<NA><NA>팔복동0.0190.0180.0040.337<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9<NA><NA>평 균0.0230.0180.0030.337<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
Unnamed: 02014년 도시 대기측정망(10월)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

2014년 도시 대기측정망(10월)Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7# duplicates
0<NA><NA><NA><NA><NA><NA><NA>18