Overview

Dataset statistics

Number of variables27
Number of observations44
Missing cells1048
Missing cells (%)88.2%
Duplicate rows1
Duplicate rows (%)2.3%
Total size in memory10.3 KiB
Average record size in memory239.0 B

Variable types

Unsupported20
Text7

Dataset

Description대기측정망운영결과2014년12월
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201637

Alerts

Dataset has 1 (2.3%) duplicate rowsDuplicates
Unnamed: 0 has 44 (100.0%) missing valuesMissing
2014년 도시 대기측정망(12월) has 29 (65.9%) 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: 6 has 23 (52.3%) 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 01:01:44.269483
Analysis finished2024-03-14 01:01:44.556259
Duration0.29 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(12월)
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing29
Missing (%)65.9%
Memory size484.0 B
2024-03-14T10:01:44.671340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length57
Mean length15.933333
Min length2

Characters and Unicode

Total characters239
Distinct characters89
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 (%)
3
 
5.9%
측정소 2
 
3.9%
측정지역 1
 
2.0%
상이할수 1
 
2.0%
위 1
 
2.0%
자료는 1
 
2.0%
보건환경연구원 1
 
2.0%
1차 1
 
2.0%
확정 1
 
2.0%
자료로 1
 
2.0%
Other values (38) 38
74.5%
2024-03-14T10:01:44.969498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
 
21.3%
정 11
 
4.6%
1 9
 
3.8%
측 8
 
3.3%
2 8
 
3.3%
. 7
 
2.9%
소 5
 
2.1%
, 4
 
1.7%
전 4
 
1.7%
시 4
 
1.7%
Other values (79) 128
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 137
57.3%
Space Separator 51
 
21.3%
Decimal Number 27
 
11.3%
Other Punctuation 13
 
5.4%
Math Symbol 4
 
1.7%
Control 3
 
1.3%
Close Punctuation 2
 
0.8%
Open Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 11
 
8.0%
측 8
 
5.8%
소 5
 
3.6%
전 4
 
2.9%
시 4
 
2.9%
지 4
 
2.9%
동 3
 
2.2%
료 3
 
2.2%
자 3
 
2.2%
평 3
 
2.2%
Other values (63) 89
65.0%
Decimal Number
ValueCountFrequency (%)
1 9
33.3%
2 8
29.6%
3 3
 
11.1%
4 3
 
11.1%
0 3
 
11.1%
7 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 7
53.8%
, 4
30.8%
: 2
 
15.4%
Math Symbol
ValueCountFrequency (%)
~ 2
50.0%
= 1
25.0%
÷ 1
25.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 137
57.3%
Common 102
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 11
 
8.0%
측 8
 
5.8%
소 5
 
3.6%
전 4
 
2.9%
시 4
 
2.9%
지 4
 
2.9%
동 3
 
2.2%
료 3
 
2.2%
자 3
 
2.2%
평 3
 
2.2%
Other values (63) 89
65.0%
Common
ValueCountFrequency (%)
51
50.0%
1 9
 
8.8%
2 8
 
7.8%
. 7
 
6.9%
, 4
 
3.9%
3 3
 
2.9%
4 3
 
2.9%
0 3
 
2.9%
3
 
2.9%
: 2
 
2.0%
Other values (6) 9
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 137
57.3%
ASCII 101
42.3%
None 1
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51
50.5%
1 9
 
8.9%
2 8
 
7.9%
. 7
 
6.9%
, 4
 
4.0%
3 3
 
3.0%
4 3
 
3.0%
0 3
 
3.0%
3
 
3.0%
: 2
 
2.0%
Other values (5) 8
 
7.9%
Hangul
ValueCountFrequency (%)
정 11
 
8.0%
측 8
 
5.8%
소 5
 
3.6%
전 4
 
2.9%
시 4
 
2.9%
지 4
 
2.9%
동 3
 
2.2%
료 3
 
2.2%
자 3
 
2.2%
평 3
 
2.2%
Other values (63) 89
65.0%
None
ValueCountFrequency (%)
÷ 1
100.0%

Unnamed: 2
Text

MISSING 

Distinct15
Distinct (%)88.2%
Missing27
Missing (%)61.4%
Memory size484.0 B
2024-03-14T10:01:45.105011image/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%
2024-03-14T10:01:45.384432image/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 

Distinct14
Distinct (%)63.6%
Missing22
Missing (%)50.0%
Memory size484.0 B
2024-03-14T10:01:45.517088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length6
Mean length6.0909091
Min length1

Characters and Unicode

Total characters134
Distinct characters30
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

Unique9 ?
Unique (%)40.9%

Sample

1st row측 정 항 목
2nd rowO3
3rd row8시간평균0.06ppm이하
4th row1시간평균 0.10ppm이하
5th row0.014
ValueCountFrequency (%)
0.014 4
15.4%
0.018 3
 
11.5%
o3 2
 
7.7%
교정 2
 
7.7%
0.013 2
 
7.7%
0.10ppm이하 1
 
3.8%
0.017 1
 
3.8%
0.025 1
 
3.8%
0.012 1
 
3.8%
보수 1
 
3.8%
Other values (8) 8
30.8%
2024-03-14T10:01:45.792507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
21.6%
0 28
20.9%
. 14
10.4%
1 13
9.7%
4 4
 
3.0%
8 4
 
3.0%
3 4
 
3.0%
p 4
 
3.0%
정 3
 
2.2%
2 2
 
1.5%
Other values (20) 29
21.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58
43.3%
Space Separator 29
21.6%
Other Letter 24
17.9%
Other Punctuation 15
 
11.2%
Lowercase Letter 6
 
4.5%
Uppercase Letter 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 3
12.5%
하 2
 
8.3%
이 2
 
8.3%
균 2
 
8.3%
평 2
 
8.3%
간 2
 
8.3%
시 2
 
8.3%
교 2
 
8.3%
목 1
 
4.2%
항 1
 
4.2%
Other values (5) 5
20.8%
Decimal Number
ValueCountFrequency (%)
0 28
48.3%
1 13
22.4%
4 4
 
6.9%
8 4
 
6.9%
3 4
 
6.9%
2 2
 
3.4%
6 1
 
1.7%
5 1
 
1.7%
7 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 14
93.3%
* 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
p 4
66.7%
m 2
33.3%
Space Separator
ValueCountFrequency (%)
29
100.0%
Uppercase Letter
ValueCountFrequency (%)
O 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 102
76.1%
Hangul 24
 
17.9%
Latin 8
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 3
12.5%
하 2
 
8.3%
이 2
 
8.3%
균 2
 
8.3%
평 2
 
8.3%
간 2
 
8.3%
시 2
 
8.3%
교 2
 
8.3%
목 1
 
4.2%
항 1
 
4.2%
Other values (5) 5
20.8%
Common
ValueCountFrequency (%)
29
28.4%
0 28
27.5%
. 14
13.7%
1 13
12.7%
4 4
 
3.9%
8 4
 
3.9%
3 4
 
3.9%
2 2
 
2.0%
6 1
 
1.0%
5 1
 
1.0%
Other values (2) 2
 
2.0%
Latin
ValueCountFrequency (%)
p 4
50.0%
m 2
25.0%
O 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110
82.1%
Hangul 24
 
17.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
26.4%
0 28
25.5%
. 14
12.7%
1 13
11.8%
4 4
 
3.6%
8 4
 
3.6%
3 4
 
3.6%
p 4
 
3.6%
2 2
 
1.8%
m 2
 
1.8%
Other values (5) 6
 
5.5%
Hangul
ValueCountFrequency (%)
정 3
12.5%
하 2
 
8.3%
이 2
 
8.3%
균 2
 
8.3%
평 2
 
8.3%
간 2
 
8.3%
시 2
 
8.3%
교 2
 
8.3%
목 1
 
4.2%
항 1
 
4.2%
Other values (5) 5
20.8%

Unnamed: 4
Text

MISSING 

Distinct16
Distinct (%)72.7%
Missing22
Missing (%)50.0%
Memory size484.0 B
2024-03-14T10:01:45.961424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length6
Mean length6.6818182
Min length2

Characters and Unicode

Total characters147
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 rowNO2
2nd row연간 평균O.O3ppm 이하
3rd row24시간평균0.06ppm 이하
4th row1시간평균 0.10ppm 이하
5th row0.023
ValueCountFrequency (%)
0.023 3
 
11.1%
이하 3
 
11.1%
0.017 2
 
7.4%
0.021 2
 
7.4%
no2 2
 
7.4%
0.024 2
 
7.4%
0.026 1
 
3.7%
0.018 1
 
3.7%
0.011 1
 
3.7%
보수 1
 
3.7%
Other values (9) 9
33.3%
2024-03-14T10:01:46.265410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 35
23.8%
20
13.6%
. 18
12.2%
2 13
 
8.8%
1 10
 
6.8%
p 6
 
4.1%
3 4
 
2.7%
O 4
 
2.7%
균 3
 
2.0%
6 3
 
2.0%
Other values (15) 31
21.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
49.0%
Other Letter 22
 
15.0%
Space Separator 20
 
13.6%
Other Punctuation 18
 
12.2%
Lowercase Letter 9
 
6.1%
Uppercase Letter 6
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
균 3
13.6%
하 3
13.6%
이 3
13.6%
평 3
13.6%
간 3
13.6%
시 2
9.1%
연 1
 
4.5%
동 1
 
4.5%
불 1
 
4.5%
보 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
0 35
48.6%
2 13
 
18.1%
1 10
 
13.9%
3 4
 
5.6%
6 3
 
4.2%
4 3
 
4.2%
7 2
 
2.8%
8 2
 
2.8%
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 (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
. 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 110
74.8%
Hangul 22
 
15.0%
Latin 15
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
균 3
13.6%
하 3
13.6%
이 3
13.6%
평 3
13.6%
간 3
13.6%
시 2
9.1%
연 1
 
4.5%
동 1
 
4.5%
불 1
 
4.5%
보 1
 
4.5%
Common
ValueCountFrequency (%)
0 35
31.8%
20
18.2%
. 18
16.4%
2 13
 
11.8%
1 10
 
9.1%
3 4
 
3.6%
6 3
 
2.7%
4 3
 
2.7%
7 2
 
1.8%
8 2
 
1.8%
Latin
ValueCountFrequency (%)
p 6
40.0%
O 4
26.7%
m 3
20.0%
N 2
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125
85.0%
Hangul 22
 
15.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 35
28.0%
20
16.0%
. 18
14.4%
2 13
 
10.4%
1 10
 
8.0%
p 6
 
4.8%
3 4
 
3.2%
O 4
 
3.2%
6 3
 
2.4%
m 3
 
2.4%
Other values (4) 9
 
7.2%
Hangul
ValueCountFrequency (%)
균 3
13.6%
하 3
13.6%
이 3
13.6%
평 3
13.6%
간 3
13.6%
시 2
9.1%
연 1
 
4.5%
동 1
 
4.5%
불 1
 
4.5%
보 1
 
4.5%

Unnamed: 5
Text

MISSING 

Distinct11
Distinct (%)50.0%
Missing22
Missing (%)50.0%
Memory size484.0 B
2024-03-14T10:01:46.404655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length6
Mean length6.4545455
Min length1

Characters and Unicode

Total characters142
Distinct characters24
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

Unique6 ?
Unique (%)27.3%

Sample

1st rowSO2
2nd row연간평균O.O2ppm이하
3rd row24시간 평균O.O5ppm이하
4th row1시간평균0.15ppm이하
5th row0.004
ValueCountFrequency (%)
0.004 4
17.4%
0.005 4
17.4%
0.006 3
13.0%
0.009 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%
0.008 1
 
4.3%
Other values (2) 2
8.7%
2024-03-14T10:01:46.698111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46
32.4%
. 18
 
12.7%
16
 
11.3%
5 6
 
4.2%
O 6
 
4.2%
p 6
 
4.2%
4 5
 
3.5%
2 4
 
2.8%
하 3
 
2.1%
이 3
 
2.1%
Other values (14) 29
20.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 70
49.3%
Other Letter 20
 
14.1%
Other Punctuation 19
 
13.4%
Space Separator 16
 
11.3%
Lowercase Letter 9
 
6.3%
Uppercase Letter 8
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
하 3
15.0%
이 3
15.0%
균 3
15.0%
평 3
15.0%
간 3
15.0%
시 2
10.0%
연 1
 
5.0%
보 1
 
5.0%
수 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
0 46
65.7%
5 6
 
8.6%
4 5
 
7.1%
2 4
 
5.7%
9 3
 
4.3%
6 3
 
4.3%
1 2
 
2.9%
8 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 18
94.7%
* 1
 
5.3%
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 (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 105
73.9%
Hangul 20
 
14.1%
Latin 17
 
12.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46
43.8%
. 18
 
17.1%
16
 
15.2%
5 6
 
5.7%
4 5
 
4.8%
2 4
 
3.8%
9 3
 
2.9%
6 3
 
2.9%
1 2
 
1.9%
8 1
 
1.0%
Hangul
ValueCountFrequency (%)
하 3
15.0%
이 3
15.0%
균 3
15.0%
평 3
15.0%
간 3
15.0%
시 2
10.0%
연 1
 
5.0%
보 1
 
5.0%
수 1
 
5.0%
Latin
ValueCountFrequency (%)
O 6
35.3%
p 6
35.3%
m 3
17.6%
S 2
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122
85.9%
Hangul 20
 
14.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46
37.7%
. 18
 
14.8%
16
 
13.1%
5 6
 
4.9%
O 6
 
4.9%
p 6
 
4.9%
4 5
 
4.1%
2 4
 
3.3%
m 3
 
2.5%
9 3
 
2.5%
Other values (5) 9
 
7.4%
Hangul
ValueCountFrequency (%)
하 3
15.0%
이 3
15.0%
균 3
15.0%
평 3
15.0%
간 3
15.0%
시 2
10.0%
연 1
 
5.0%
보 1
 
5.0%
수 1
 
5.0%

Unnamed: 6
Text

MISSING 

Distinct11
Distinct (%)52.4%
Missing23
Missing (%)52.3%
Memory size484.0 B
2024-03-14T10:01:46.817219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.5714286
Min length2

Characters and Unicode

Total characters96
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

Unique7 ?
Unique (%)33.3%

Sample

1st rowCO
2nd row8시간평균 9ppm이하
3rd row1시간평균 25ppm이하
4th row0.5
5th row0.6
ValueCountFrequency (%)
0.6 7
30.4%
0.5 3
13.0%
co 2
 
8.7%
0.8 2
 
8.7%
8시간평균 1
 
4.3%
9ppm이하 1
 
4.3%
1시간평균 1
 
4.3%
25ppm이하 1
 
4.3%
0.7 1
 
4.3%
1.1 1
 
4.3%
Other values (3) 3
13.0%
2024-03-14T10:01:47.024260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
19.8%
. 16
16.7%
0 15
15.6%
6 7
 
7.3%
5 4
 
4.2%
p 4
 
4.2%
1 3
 
3.1%
8 3
 
3.1%
9 2
 
2.1%
하 2
 
2.1%
Other values (13) 21
21.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 37
38.5%
Space Separator 19
19.8%
Other Punctuation 16
16.7%
Other Letter 14
 
14.6%
Lowercase Letter 6
 
6.2%
Uppercase Letter 4
 
4.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15
40.5%
6 7
18.9%
5 4
 
10.8%
1 3
 
8.1%
8 3
 
8.1%
9 2
 
5.4%
2 1
 
2.7%
7 1
 
2.7%
4 1
 
2.7%
Other Letter
ValueCountFrequency (%)
하 2
14.3%
이 2
14.3%
균 2
14.3%
평 2
14.3%
간 2
14.3%
시 2
14.3%
보 1
7.1%
수 1
7.1%
Lowercase Letter
ValueCountFrequency (%)
p 4
66.7%
m 2
33.3%
Uppercase Letter
ValueCountFrequency (%)
O 2
50.0%
C 2
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72
75.0%
Hangul 14
 
14.6%
Latin 10
 
10.4%

Most frequent character per script

Common
ValueCountFrequency (%)
19
26.4%
. 16
22.2%
0 15
20.8%
6 7
 
9.7%
5 4
 
5.6%
1 3
 
4.2%
8 3
 
4.2%
9 2
 
2.8%
2 1
 
1.4%
7 1
 
1.4%
Hangul
ValueCountFrequency (%)
하 2
14.3%
이 2
14.3%
균 2
14.3%
평 2
14.3%
간 2
14.3%
시 2
14.3%
보 1
7.1%
수 1
7.1%
Latin
ValueCountFrequency (%)
p 4
40.0%
m 2
20.0%
O 2
20.0%
C 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82
85.4%
Hangul 14
 
14.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
23.2%
. 16
19.5%
0 15
18.3%
6 7
 
8.5%
5 4
 
4.9%
p 4
 
4.9%
1 3
 
3.7%
8 3
 
3.7%
9 2
 
2.4%
m 2
 
2.4%
Other values (5) 7
 
8.5%
Hangul
ValueCountFrequency (%)
하 2
14.3%
이 2
14.3%
균 2
14.3%
평 2
14.3%
간 2
14.3%
시 2
14.3%
보 1
7.1%
수 1
7.1%

Unnamed: 7
Text

MISSING 

Distinct14
Distinct (%)66.7%
Missing23
Missing (%)52.3%
Memory size484.0 B
2024-03-14T10:01:47.151783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length4
Min length2

Characters and Unicode

Total characters84
Distinct characters28
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

Unique10 ?
Unique (%)47.6%

Sample

1st rowPM-10
2nd row연간평균 50㎍/㎥이하
3rd row24시간평균100㎍/㎥이하
4th row45
5th row교정
ValueCountFrequency (%)
45 4
18.2%
41 3
13.6%
pm-10 2
 
9.1%
교정 2
 
9.1%
연간평균 1
 
4.5%
50㎍/㎥이하 1
 
4.5%
24시간평균100㎍/㎥이하 1
 
4.5%
보수 1
 
4.5%
46 1
 
4.5%
48 1
 
4.5%
Other values (5) 5
22.7%
2024-03-14T10:01:47.396194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
17.9%
4 13
15.5%
1 6
 
7.1%
0 5
 
6.0%
5 5
 
6.0%
2 3
 
3.6%
균 2
 
2.4%
3 2
 
2.4%
6 2
 
2.4%
하 2
 
2.4%
Other values (18) 29
34.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 39
46.4%
Other Letter 18
21.4%
Space Separator 15
 
17.9%
Other Symbol 4
 
4.8%
Uppercase Letter 4
 
4.8%
Other Punctuation 2
 
2.4%
Dash Punctuation 2
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
균 2
11.1%
하 2
11.1%
이 2
11.1%
평 2
11.1%
간 2
11.1%
정 2
11.1%
교 2
11.1%
연 1
5.6%
시 1
5.6%
보 1
5.6%
Decimal Number
ValueCountFrequency (%)
4 13
33.3%
1 6
15.4%
0 5
 
12.8%
5 5
 
12.8%
2 3
 
7.7%
3 2
 
5.1%
6 2
 
5.1%
8 1
 
2.6%
7 1
 
2.6%
9 1
 
2.6%
Other Symbol
ValueCountFrequency (%)
㎥ 2
50.0%
㎍ 2
50.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
50.0%
P 2
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 62
73.8%
Hangul 18
 
21.4%
Latin 4
 
4.8%

Most frequent character per script

Common
ValueCountFrequency (%)
15
24.2%
4 13
21.0%
1 6
 
9.7%
0 5
 
8.1%
5 5
 
8.1%
2 3
 
4.8%
3 2
 
3.2%
6 2
 
3.2%
㎥ 2
 
3.2%
/ 2
 
3.2%
Other values (5) 7
11.3%
Hangul
ValueCountFrequency (%)
균 2
11.1%
하 2
11.1%
이 2
11.1%
평 2
11.1%
간 2
11.1%
정 2
11.1%
교 2
11.1%
연 1
5.6%
시 1
5.6%
보 1
5.6%
Latin
ValueCountFrequency (%)
M 2
50.0%
P 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62
73.8%
Hangul 18
 
21.4%
CJK Compat 4
 
4.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
24.2%
4 13
21.0%
1 6
 
9.7%
0 5
 
8.1%
5 5
 
8.1%
2 3
 
4.8%
3 2
 
3.2%
6 2
 
3.2%
/ 2
 
3.2%
- 2
 
3.2%
Other values (5) 7
11.3%
Hangul
ValueCountFrequency (%)
균 2
11.1%
하 2
11.1%
이 2
11.1%
평 2
11.1%
간 2
11.1%
정 2
11.1%
교 2
11.1%
연 1
5.6%
시 1
5.6%
보 1
5.6%
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(12월)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>전주태평동0.0140.0230.0040.545<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7<NA><NA>삼천동교정0.0260.0060.6교정<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8<NA><NA>팔복동0.0140.0210.0040.645<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9<NA><NA>평 균0.0140.0230.0050.645<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
Unnamed: 02014년 도시 대기측정망(12월)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(12월)Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7# duplicates
0<NA><NA><NA><NA><NA><NA><NA>17