Overview

Dataset statistics

Number of variables20
Number of observations55
Missing cells582
Missing cells (%)52.9%
Duplicate rows1
Duplicate rows (%)1.8%
Total size in memory8.7 KiB
Average record size in memory162.4 B

Variable types

Unsupported14
Text6

Dataset

Description화재의 예방 및 안전관리에 관한 법률 시행령 별표 2에 따른 특정소방대상물 중 판매시설의 전통시장 현황을 업로드 하여 데이터 개방
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15105986&srcSe=7661IVAWM27C61E190

Alerts

Dataset has 1 (1.8%) duplicate rowsDuplicates
전통시장 및 소방시설 현황 has 3 (5.5%) missing valuesMissing
Unnamed: 1 has 3 (5.5%) missing valuesMissing
Unnamed: 2 has 3 (5.5%) missing valuesMissing
Unnamed: 3 has 3 (5.5%) missing valuesMissing
Unnamed: 4 has 27 (49.1%) missing valuesMissing
Unnamed: 5 has 39 (70.9%) missing valuesMissing
Unnamed: 6 has 51 (92.7%) missing valuesMissing
Unnamed: 7 has 27 (49.1%) missing valuesMissing
Unnamed: 8 has 38 (69.1%) missing valuesMissing
Unnamed: 9 has 30 (54.5%) missing valuesMissing
Unnamed: 10 has 30 (54.5%) missing valuesMissing
Unnamed: 11 has 42 (76.4%) missing valuesMissing
Unnamed: 12 has 29 (52.7%) missing valuesMissing
Unnamed: 13 has 10 (18.2%) missing valuesMissing
Unnamed: 14 has 35 (63.6%) missing valuesMissing
Unnamed: 15 has 46 (83.6%) missing valuesMissing
Unnamed: 16 has 35 (63.6%) missing valuesMissing
Unnamed: 17 has 49 (89.1%) missing valuesMissing
Unnamed: 18 has 37 (67.3%) missing valuesMissing
Unnamed: 19 has 45 (81.8%) missing valuesMissing
전통시장 및 소방시설 현황 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 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: 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

Reproduction

Analysis started2024-01-28 11:22:52.007339
Analysis finished2024-01-28 11:22:52.970831
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

전통시장 및 소방시설 현황
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)5.5%
Memory size572.0 B

Unnamed: 1
Text

MISSING 

Distinct50
Distinct (%)96.2%
Missing3
Missing (%)5.5%
Memory size572.0 B
2024-01-28T20:22:53.114134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.0961538
Min length4

Characters and Unicode

Total characters265
Distinct characters93
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)94.2%

Sample

1st row시 장 명
2nd row신포시장
3rd row신흥시장
4th row송현자유시장
5th row중앙시장
ValueCountFrequency (%)
중앙시장 3
 
5.5%
구월시장 1
 
1.8%
풍물시장 1
 
1.8%
숭의평화시장 1
 
1.8%
학익시장 1
 
1.8%
강남시장 1
 
1.8%
소래포구어시장 1
 
1.8%
옥련재래시장 1
 
1.8%
송도역전시장 1
 
1.8%
남동산업용품상가 1
 
1.8%
Other values (43) 43
78.2%
2024-01-28T20:22:53.401125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 47
 
17.7%
시 46
 
17.4%
종 6
 
2.3%
합 6
 
2.3%
산 5
 
1.9%
신 5
 
1.9%
유 4
 
1.5%
송 4
 
1.5%
구 4
 
1.5%
가 4
 
1.5%
Other values (83) 134
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 261
98.5%
Space Separator 2
 
0.8%
Control 1
 
0.4%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 47
 
18.0%
시 46
 
17.6%
종 6
 
2.3%
합 6
 
2.3%
산 5
 
1.9%
신 5
 
1.9%
유 4
 
1.5%
송 4
 
1.5%
구 4
 
1.5%
가 4
 
1.5%
Other values (80) 130
49.8%
Space Separator
ValueCountFrequency (%)
2
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 262
98.9%
Common 3
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 47
 
17.9%
시 46
 
17.6%
종 6
 
2.3%
합 6
 
2.3%
산 5
 
1.9%
신 5
 
1.9%
유 4
 
1.5%
송 4
 
1.5%
구 4
 
1.5%
가 4
 
1.5%
Other values (81) 131
50.0%
Common
ValueCountFrequency (%)
2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 261
98.5%
ASCII 3
 
1.1%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 47
 
18.0%
시 46
 
17.6%
종 6
 
2.3%
합 6
 
2.3%
산 5
 
1.9%
신 5
 
1.9%
유 4
 
1.5%
송 4
 
1.5%
구 4
 
1.5%
가 4
 
1.5%
Other values (80) 130
49.8%
ASCII
ValueCountFrequency (%)
2
66.7%
1
33.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Unnamed: 2
Text

MISSING 

Distinct52
Distinct (%)100.0%
Missing3
Missing (%)5.5%
Memory size572.0 B
2024-01-28T20:22:53.587567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length25.5
Mean length17.403846
Min length5

Characters and Unicode

Total characters905
Distinct characters108
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row소 재 지
2nd row중구 우현로49번길 11-5(신포동) 일원
3rd row중구 선화동 30-23
4th row동구 화도진로 39-4일원(송현동)
5th row동구 중앙로 25~56번길 일대(송현동)
ValueCountFrequency (%)
미추홀구 13
 
7.2%
남동구 8
 
4.4%
동구 7
 
3.9%
서구 6
 
3.3%
부평구 6
 
3.3%
일대 5
 
2.8%
강화읍 4
 
2.2%
중구 3
 
1.7%
일원 3
 
1.7%
계양구 3
 
1.7%
Other values (113) 123
68.0%
2024-01-28T20:22:53.872460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
130
 
14.4%
구 50
 
5.5%
로 46
 
5.1%
2 42
 
4.6%
1 38
 
4.2%
동 37
 
4.1%
3 28
 
3.1%
길 26
 
2.9%
번 26
 
2.9%
4 25
 
2.8%
Other values (98) 457
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 468
51.7%
Decimal Number 241
26.6%
Space Separator 130
 
14.4%
Dash Punctuation 19
 
2.1%
Open Punctuation 17
 
1.9%
Close Punctuation 17
 
1.9%
Other Punctuation 7
 
0.8%
Control 3
 
0.3%
Uppercase Letter 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 50
 
10.7%
로 46
 
9.8%
동 37
 
7.9%
길 26
 
5.6%
번 26
 
5.6%
일 14
 
3.0%
대 13
 
2.8%
추 13
 
2.8%
미 13
 
2.8%
홀 13
 
2.8%
Other values (79) 217
46.4%
Decimal Number
ValueCountFrequency (%)
2 42
17.4%
1 38
15.8%
3 28
11.6%
4 25
10.4%
5 23
9.5%
0 22
9.1%
7 20
8.3%
8 17
7.1%
9 15
 
6.2%
6 11
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 468
51.7%
Common 435
48.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 50
 
10.7%
로 46
 
9.8%
동 37
 
7.9%
길 26
 
5.6%
번 26
 
5.6%
일 14
 
3.0%
대 13
 
2.8%
추 13
 
2.8%
미 13
 
2.8%
홀 13
 
2.8%
Other values (79) 217
46.4%
Common
ValueCountFrequency (%)
130
29.9%
2 42
 
9.7%
1 38
 
8.7%
3 28
 
6.4%
4 25
 
5.7%
5 23
 
5.3%
0 22
 
5.1%
7 20
 
4.6%
- 19
 
4.4%
8 17
 
3.9%
Other values (7) 71
16.3%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 468
51.7%
ASCII 437
48.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
130
29.7%
2 42
 
9.6%
1 38
 
8.7%
3 28
 
6.4%
4 25
 
5.7%
5 23
 
5.3%
0 22
 
5.0%
7 20
 
4.6%
- 19
 
4.3%
8 17
 
3.9%
Other values (9) 73
16.7%
Hangul
ValueCountFrequency (%)
구 50
 
10.7%
로 46
 
9.8%
동 37
 
7.9%
길 26
 
5.6%
번 26
 
5.6%
일 14
 
3.0%
대 13
 
2.8%
추 13
 
2.8%
미 13
 
2.8%
홀 13
 
2.8%
Other values (79) 217
46.4%

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)5.5%
Memory size572.0 B

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)49.1%
Memory size572.0 B

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)70.9%
Memory size572.0 B

Unnamed: 6
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing51
Missing (%)92.7%
Memory size572.0 B
2024-01-28T20:22:54.010819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length7
Min length4

Characters and Unicode

Total characters28
Distinct characters21
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

Unique4 ?
Unique (%)100.0%

Sample

1st row스프링클러 (밸브수/헤드수)
2nd row1/436
3rd row1/88
4th row1/72
ValueCountFrequency (%)
스프링클러 1
20.0%
밸브수/헤드수 1
20.0%
1/436 1
20.0%
1/88 1
20.0%
1/72 1
20.0%
2024-01-28T20:22:54.448685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 4
 
14.3%
1 3
 
10.7%
8 2
 
7.1%
수 2
 
7.1%
헤 1
 
3.6%
7 1
 
3.6%
6 1
 
3.6%
3 1
 
3.6%
4 1
 
3.6%
) 1
 
3.6%
Other values (11) 11
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
39.3%
Decimal Number 10
35.7%
Other Punctuation 4
 
14.3%
Close Punctuation 1
 
3.6%
Open Punctuation 1
 
3.6%
Control 1
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 2
18.2%
헤 1
9.1%
드 1
9.1%
스 1
9.1%
프 1
9.1%
브 1
9.1%
밸 1
9.1%
러 1
9.1%
클 1
9.1%
링 1
9.1%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
8 2
20.0%
7 1
 
10.0%
6 1
 
10.0%
3 1
 
10.0%
4 1
 
10.0%
2 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17
60.7%
Hangul 11
39.3%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 4
23.5%
1 3
17.6%
8 2
11.8%
7 1
 
5.9%
6 1
 
5.9%
3 1
 
5.9%
4 1
 
5.9%
) 1
 
5.9%
( 1
 
5.9%
1
 
5.9%
Hangul
ValueCountFrequency (%)
수 2
18.2%
헤 1
9.1%
드 1
9.1%
스 1
9.1%
프 1
9.1%
브 1
9.1%
밸 1
9.1%
러 1
9.1%
클 1
9.1%
링 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17
60.7%
Hangul 11
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 4
23.5%
1 3
17.6%
8 2
11.8%
7 1
 
5.9%
6 1
 
5.9%
3 1
 
5.9%
4 1
 
5.9%
) 1
 
5.9%
( 1
 
5.9%
1
 
5.9%
Hangul
ValueCountFrequency (%)
수 2
18.2%
헤 1
9.1%
드 1
9.1%
스 1
9.1%
프 1
9.1%
브 1
9.1%
밸 1
9.1%
러 1
9.1%
클 1
9.1%
링 1
9.1%

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing27
Missing (%)49.1%
Memory size572.0 B

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)69.1%
Memory size572.0 B

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)54.5%
Memory size572.0 B

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)54.5%
Memory size572.0 B

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing42
Missing (%)76.4%
Memory size572.0 B

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)52.7%
Memory size572.0 B

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10
Missing (%)18.2%
Memory size572.0 B

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)63.6%
Memory size572.0 B

Unnamed: 15
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing46
Missing (%)83.6%
Memory size572.0 B
2024-01-28T20:22:54.582062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length8
Mean length6.7777778
Min length5

Characters and Unicode

Total characters61
Distinct characters24
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

Unique9 ?
Unique (%)100.0%

Sample

1st row스프링클러 (밸브수/헤드수)
2nd row28/10430
3rd row14/668
4th row3/730
5th row1/436
ValueCountFrequency (%)
스프링클러 1
10.0%
밸브수/헤드수 1
10.0%
28/10430 1
10.0%
14/668 1
10.0%
3/730 1
10.0%
1/436 1
10.0%
7/791 1
10.0%
6/5022 1
10.0%
7/1030 1
10.0%
2/488 1
10.0%
2024-01-28T20:22:54.813087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 9
14.8%
0 6
9.8%
3 5
 
8.2%
1 5
 
8.2%
7 4
 
6.6%
6 4
 
6.6%
4 4
 
6.6%
8 4
 
6.6%
2 4
 
6.6%
수 2
 
3.3%
Other values (14) 14
23.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38
62.3%
Other Letter 11
 
18.0%
Other Punctuation 9
 
14.8%
Close Punctuation 1
 
1.6%
Open Punctuation 1
 
1.6%
Control 1
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6
15.8%
3 5
13.2%
1 5
13.2%
7 4
10.5%
6 4
10.5%
4 4
10.5%
8 4
10.5%
2 4
10.5%
9 1
 
2.6%
5 1
 
2.6%
Other Letter
ValueCountFrequency (%)
수 2
18.2%
스 1
9.1%
드 1
9.1%
프 1
9.1%
헤 1
9.1%
브 1
9.1%
밸 1
9.1%
러 1
9.1%
클 1
9.1%
링 1
9.1%
Other Punctuation
ValueCountFrequency (%)
/ 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50
82.0%
Hangul 11
 
18.0%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 9
18.0%
0 6
12.0%
3 5
10.0%
1 5
10.0%
7 4
8.0%
6 4
8.0%
4 4
8.0%
8 4
8.0%
2 4
8.0%
) 1
 
2.0%
Other values (4) 4
8.0%
Hangul
ValueCountFrequency (%)
수 2
18.2%
스 1
9.1%
드 1
9.1%
프 1
9.1%
헤 1
9.1%
브 1
9.1%
밸 1
9.1%
러 1
9.1%
클 1
9.1%
링 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50
82.0%
Hangul 11
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 9
18.0%
0 6
12.0%
3 5
10.0%
1 5
10.0%
7 4
8.0%
6 4
8.0%
4 4
8.0%
8 4
8.0%
2 4
8.0%
) 1
 
2.0%
Other values (4) 4
8.0%
Hangul
ValueCountFrequency (%)
수 2
18.2%
스 1
9.1%
드 1
9.1%
프 1
9.1%
헤 1
9.1%
브 1
9.1%
밸 1
9.1%
러 1
9.1%
클 1
9.1%
링 1
9.1%

Unnamed: 16
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing35
Missing (%)63.6%
Memory size572.0 B
2024-01-28T20:22:54.966405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length6
Mean length6.65
Min length4

Characters and Unicode

Total characters133
Distinct characters27
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

Unique20 ?
Unique (%)100.0%

Sample

1st row자동화재탐지 (경계구역수/감지기수)
2nd row19/339
3rd row489/5859
4th row16/328
5th row12/136
ValueCountFrequency (%)
자동화재탐지 1
 
4.5%
경계구역수/감지기수 1
 
4.5%
31/210 1
 
4.5%
28/250 1
 
4.5%
12/118 1
 
4.5%
14/224 1
 
4.5%
7/27 1
 
4.5%
6/127 1
 
4.5%
14/107 1
 
4.5%
72/521 1
 
4.5%
Other values (12) 12
54.5%
2024-01-28T20:22:55.239449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 21
15.8%
1 19
14.3%
2 17
12.8%
5 11
8.3%
0 8
 
6.0%
6 8
 
6.0%
3 8
 
6.0%
7 7
 
5.3%
9 5
 
3.8%
8 5
 
3.8%
Other values (17) 24
18.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 93
69.9%
Other Punctuation 21
 
15.8%
Other Letter 15
 
11.3%
Control 2
 
1.5%
Open Punctuation 1
 
0.8%
Close Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 2
13.3%
지 2
13.3%
경 1
 
6.7%
화 1
 
6.7%
재 1
 
6.7%
탐 1
 
6.7%
계 1
 
6.7%
기 1
 
6.7%
감 1
 
6.7%
동 1
 
6.7%
Other values (3) 3
20.0%
Decimal Number
ValueCountFrequency (%)
1 19
20.4%
2 17
18.3%
5 11
11.8%
0 8
8.6%
6 8
8.6%
3 8
8.6%
7 7
 
7.5%
9 5
 
5.4%
8 5
 
5.4%
4 5
 
5.4%
Other Punctuation
ValueCountFrequency (%)
/ 21
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 118
88.7%
Hangul 15
 
11.3%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 21
17.8%
1 19
16.1%
2 17
14.4%
5 11
9.3%
0 8
 
6.8%
6 8
 
6.8%
3 8
 
6.8%
7 7
 
5.9%
9 5
 
4.2%
8 5
 
4.2%
Other values (4) 9
7.6%
Hangul
ValueCountFrequency (%)
수 2
13.3%
지 2
13.3%
경 1
 
6.7%
화 1
 
6.7%
재 1
 
6.7%
탐 1
 
6.7%
계 1
 
6.7%
기 1
 
6.7%
감 1
 
6.7%
동 1
 
6.7%
Other values (3) 3
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118
88.7%
Hangul 15
 
11.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 21
17.8%
1 19
16.1%
2 17
14.4%
5 11
9.3%
0 8
 
6.8%
6 8
 
6.8%
3 8
 
6.8%
7 7
 
5.9%
9 5
 
4.2%
8 5
 
4.2%
Other values (4) 9
7.6%
Hangul
ValueCountFrequency (%)
수 2
13.3%
지 2
13.3%
경 1
 
6.7%
화 1
 
6.7%
재 1
 
6.7%
탐 1
 
6.7%
계 1
 
6.7%
기 1
 
6.7%
감 1
 
6.7%
동 1
 
6.7%
Other values (3) 3
20.0%

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing49
Missing (%)89.1%
Memory size572.0 B

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)67.3%
Memory size572.0 B

Unnamed: 19
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing45
Missing (%)81.8%
Memory size572.0 B
2024-01-28T20:22:55.378306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length14
Mean length12
Min length5

Characters and Unicode

Total characters120
Distinct characters48
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 (%)100.0%

Sample

1st row기타 (설비명)
2nd row저수조 15t
3rd row비상조명등
4th row비상방송 1 소화전 5
5th row시각경보기 10
ValueCountFrequency (%)
1 3
 
11.5%
4 2
 
7.7%
비상조명등 2
 
7.7%
자동화재속보설비 2
 
7.7%
기타 1
 
3.8%
제연 1
 
3.8%
25 1
 
3.8%
공기호흡기(인공소생기 1
 
3.8%
비상방송설비 1
 
3.8%
옥외소화전2 1
 
3.8%
Other values (11) 11
42.3%
2024-01-28T20:22:55.614031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 10
 
8.3%
9
 
7.5%
7
 
5.8%
화 6
 
5.0%
설 6
 
5.0%
소 5
 
4.2%
상 5
 
4.2%
1 5
 
4.2%
기 5
 
4.2%
조 3
 
2.5%
Other values (38) 59
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86
71.7%
Decimal Number 13
 
10.8%
Space Separator 9
 
7.5%
Control 7
 
5.8%
Close Punctuation 2
 
1.7%
Open Punctuation 2
 
1.7%
Lowercase Letter 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 10
 
11.6%
화 6
 
7.0%
설 6
 
7.0%
소 5
 
5.8%
상 5
 
5.8%
기 5
 
5.8%
조 3
 
3.5%
명 3
 
3.5%
보 3
 
3.5%
전 3
 
3.5%
Other values (28) 37
43.0%
Decimal Number
ValueCountFrequency (%)
1 5
38.5%
5 3
23.1%
4 2
 
15.4%
2 2
 
15.4%
0 1
 
7.7%
Space Separator
ValueCountFrequency (%)
9
100.0%
Control
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86
71.7%
Common 33
 
27.5%
Latin 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 10
 
11.6%
화 6
 
7.0%
설 6
 
7.0%
소 5
 
5.8%
상 5
 
5.8%
기 5
 
5.8%
조 3
 
3.5%
명 3
 
3.5%
보 3
 
3.5%
전 3
 
3.5%
Other values (28) 37
43.0%
Common
ValueCountFrequency (%)
9
27.3%
7
21.2%
1 5
15.2%
5 3
 
9.1%
4 2
 
6.1%
2 2
 
6.1%
) 2
 
6.1%
( 2
 
6.1%
0 1
 
3.0%
Latin
ValueCountFrequency (%)
t 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86
71.7%
ASCII 34
 
28.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 10
 
11.6%
화 6
 
7.0%
설 6
 
7.0%
소 5
 
5.8%
상 5
 
5.8%
기 5
 
5.8%
조 3
 
3.5%
명 3
 
3.5%
보 3
 
3.5%
전 3
 
3.5%
Other values (28) 37
43.0%
ASCII
ValueCountFrequency (%)
9
26.5%
7
20.6%
1 5
14.7%
5 3
 
8.8%
4 2
 
5.9%
2 2
 
5.9%
) 2
 
5.9%
( 2
 
5.9%
0 1
 
2.9%
t 1
 
2.9%

Correlations

2024-01-28T20:22:55.685421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 6Unnamed: 15Unnamed: 16Unnamed: 19
Unnamed: 11.0001.0001.0001.0001.0001.000
Unnamed: 21.0001.0001.0001.0001.0001.000
Unnamed: 61.0001.0001.0001.0001.0000.000
Unnamed: 151.0001.0001.0001.0001.0001.000
Unnamed: 161.0001.0001.0001.0001.0001.000
Unnamed: 191.0001.0000.0001.0001.0001.000

Missing values

2024-01-28T20:22:52.388924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:22:52.582263image/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.
2024-01-28T20:22:52.782611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

전통시장 및 소방시설 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19
0NaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaNNaNNaN<NA><NA>NaNNaN<NA>
1NaN<NA><NA>NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaNNaNNaN<NA><NA>NaNNaN<NA>
2연번시 장 명소 재 지개설\n년도아케이드 소방시설 설치현황NaN<NA>NaNNaNNaNNaNNaNNaN점포내 소방시설 설치현황(아케이드 부분 제외)NaN<NA><NA>NaNNaN<NA>
3NaN<NA><NA>NaN소화기옥내소화전스프링클러 (밸브수/헤드수)자동화재탐지\n(경계구역수/감지기수)자동화재속보연결살수\n(경계구역/헤드수)유도등기타\n(설비명)아케이드\n준공일소화기옥내소화전스프링클러 (밸브수/헤드수)자동화재탐지 (경계구역수/감지기수)연결살수\n(경계구역수/헤드수)유도등기타 (설비명)
41신포시장중구 우현로49번길 11-5(신포동) 일원1970169<NA>18/154115/13218비상방송설비(1)2003.7.18200NaN<NA><NA>NaNNaN<NA>
52신흥시장중구 선화동 30-23196175NaN<NA>3/1116/44통로유도등(6)시각경보기(3),\n비상방송설비(12),\n연결송수관설비(방수구2/기구함2)2010.06.04NaNNaN<NA><NA>NaNNaN<NA>
63송현자유시장동구 화도진로 39-4일원(송현동)1965NaNNaN<NA>NaN1NaNNaNNaNNaN765<NA>19/339NaN8<NA>
74중앙시장동구 중앙로 25~56번길 일대(송현동)1972NaNNaN<NA>NaNNaNNaNNaNNaNNaN116NaN<NA><NA>NaNNaN<NA>
85송현시장동구 화도진로44번길 18일원196052NaN<NA>10/23NaN10/9425시각경보기(10개)\n비상벨(8개)2011.0792NaN<NA><NA>NaNNaN<NA>
96인천산업 유통센터동구 방축로37번길 301997NaNNaN<NA>NaNNaNNaNNaNNaNNaN52717328/10430489/58592023-01-14 00:00:001292<NA>
전통시장 및 소방시설 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19
4542제일시장미추홀구 제일로 27번길 일대1970NaNNaN<NA>NaNNaNNaNNaNNaNNaN61NaN<NA>7/27NaNNaN<NA>
4643석바위시장미추홀구 경원대로852번길 17-1197911NaN<NA>14/84NaN2/239NaNNaN2006310<NA><NA>NaNNaN<NA>
4744도화종합상가미추홀구 도화동 104-11,21,22,23,24,27,28,291983NaNNaN<NA>1/14NaN2/287NaNNaNNaN342NaN<NA><NA>NaNNaN<NA>
4845공단시장미추홀구 주안동 15-431981NaNNaN<NA>NaNNaNNaNNaNNaNNaN568<NA>14/224NaNNaN옥외소화전2
4946용현시장미추홀구 용삼길 57-1(용현동) 일원196346317<NA>22/109NaN3/35034262007.08.01NaNNaN<NA><NA>NaNNaN<NA>
5047토지금고시장미추홀구 낙섬중로38번길 519981011<NA>11/31123/15127NaN2011.11.1125NaN<NA><NA>NaNNaN<NA>
5148숭의평화시장미추홀구 참외전로 31719718NaN<NA>NaNNaNNaNNaNNaNNaNNaNNaN<NA><NA>NaNNaN<NA>
5249중앙시장강화읍 강화대로 429(A동) 강화읍 강화대로 430(B동)1981NaNNaN<NA>NaNNaNNaNNaNNaNNaN131\n5012\n8<NA>12/118 28/2502/54\n2/8564\n64자동화재속보설비
5350풍물시장강화읍 중앙로 17-9200710NaN1/72불꽃감지기(2)NaNNaNNaNNaNNaN101167/103031/210NaN127비상방송설비 자동화재속보설비 공기호흡기(인공소생기)
5451강화버스터미널㈜강화읍 중앙로 431995NaNNaN<NA>NaNNaNNaNNaNNaN2018.12.2663162/48850/250NaN74비상조명등 25 제연 1 무선통신설비 1

Duplicate rows

Most frequently occurring

Unnamed: 1Unnamed: 2Unnamed: 6Unnamed: 15Unnamed: 16Unnamed: 19# duplicates
0<NA><NA><NA><NA><NA><NA>2