Overview

Dataset statistics

Number of variables13
Number of observations61
Missing cells61
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory108.1 B

Variable types

Numeric1
Categorical3
Text7
DateTime1
Unsupported1

Dataset

Description광주광역시 관내 전체 소방시설 업체 및 소방시설관리업체 현황입니다. 5개 관할소방서별 소방시설설계업, 소방시설공사업, 소방시설감리업 등의 현황을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15052638/fileData.do

Alerts

업종 has constant value ""Constant
폐업여부 has 61 (100.0%) missing valuesMissing
Unnamed: 0 has unique valuesUnique
폐업여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-15 01:18:10.757618
Analysis finished2024-03-15 01:18:12.702658
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size677.0 B
2024-03-15T10:18:12.901741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q116
median31
Q346
95-th percentile58
Maximum61
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.752934
Coefficient of variation (CV)0.57267529
Kurtosis-1.2
Mean31
Median Absolute Deviation (MAD)15
Skewness0
Sum1891
Variance315.16667
MonotonicityStrictly increasing
2024-03-15T10:18:13.442683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
47 1
 
1.6%
34 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%
52 1
1.6%

세부지역
Categorical

Distinct5
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size616.0 B
북구
25 
서구
15 
광산구
남구
동구

Length

Max length3
Median length2
Mean length2.1311475
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서구
2nd row광산구
3rd row광산구
4th row서구
5th row서구

Common Values

ValueCountFrequency (%)
북구 25
41.0%
서구 15
24.6%
광산구 8
 
13.1%
남구 7
 
11.5%
동구 6
 
9.8%

Length

2024-03-15T10:18:13.898589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:18:14.302103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 25
41.0%
서구 15
24.6%
광산구 8
 
13.1%
남구 7
 
11.5%
동구 6
 
9.8%

상호
Text

Distinct33
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size616.0 B
2024-03-15T10:18:15.082847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length8.8688525
Min length5

Characters and Unicode

Total characters541
Distinct characters82
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

Unique5 ?
Unique (%)8.2%

Sample

1st row세기방재(주)
2nd row우림이앤씨
3rd row우림이앤씨
4th row좋은엔지니어링
5th row좋은엔지니어링
ValueCountFrequency (%)
주식회사 21
24.1%
한엔지니어링 2
 
2.3%
주)엔에스엔지니어링 2
 
2.3%
유)빛고을엔지니어링 2
 
2.3%
한걸음 2
 
2.3%
유원 2
 
2.3%
엔지니어링 2
 
2.3%
화성 2
 
2.3%
엘에이치엔지니어링 2
 
2.3%
리우이앤시 2
 
2.3%
Other values (27) 48
55.2%
2024-03-15T10:18:16.293631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
7.8%
33
 
6.1%
31
 
5.7%
29
 
5.4%
27
 
5.0%
26
 
4.8%
( 23
 
4.3%
) 23
 
4.3%
21
 
3.9%
21
 
3.9%
Other values (72) 265
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
84.8%
Space Separator 26
 
4.8%
Open Punctuation 23
 
4.3%
Close Punctuation 23
 
4.3%
Uppercase Letter 6
 
1.1%
Decimal Number 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
9.2%
33
 
7.2%
31
 
6.8%
29
 
6.3%
27
 
5.9%
21
 
4.6%
21
 
4.6%
21
 
4.6%
21
 
4.6%
21
 
4.6%
Other values (64) 192
41.8%
Uppercase Letter
ValueCountFrequency (%)
G 2
33.3%
E 2
33.3%
N 2
33.3%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
84.8%
Common 76
 
14.0%
Latin 6
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
 
9.2%
33
 
7.2%
31
 
6.8%
29
 
6.3%
27
 
5.9%
21
 
4.6%
21
 
4.6%
21
 
4.6%
21
 
4.6%
21
 
4.6%
Other values (64) 192
41.8%
Common
ValueCountFrequency (%)
26
34.2%
( 23
30.3%
) 23
30.3%
2 2
 
2.6%
1 2
 
2.6%
Latin
ValueCountFrequency (%)
G 2
33.3%
E 2
33.3%
N 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
84.8%
ASCII 82
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
42
 
9.2%
33
 
7.2%
31
 
6.8%
29
 
6.3%
27
 
5.9%
21
 
4.6%
21
 
4.6%
21
 
4.6%
21
 
4.6%
21
 
4.6%
Other values (64) 192
41.8%
ASCII
ValueCountFrequency (%)
26
31.7%
( 23
28.0%
) 23
28.0%
2 2
 
2.4%
1 2
 
2.4%
G 2
 
2.4%
E 2
 
2.4%
N 2
 
2.4%
Distinct33
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size616.0 B
2024-03-15T10:18:17.097822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters732
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)8.2%

Sample

1st row409-81-84225
2nd row410-16-63993
3rd row410-16-63993
4th row410-15-37877
5th row410-15-37877
ValueCountFrequency (%)
410-27-62914 2
 
3.3%
412-81-47677 2
 
3.3%
587-86-00286 2
 
3.3%
594-86-00509 2
 
3.3%
551-81-00870 2
 
3.3%
261-40-00353 2
 
3.3%
408-86-00872 2
 
3.3%
164-14-00960 2
 
3.3%
851-86-01153 2
 
3.3%
337-88-00123 2
 
3.3%
Other values (23) 41
67.2%
2024-03-15T10:18:18.316206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 122
16.7%
0 106
14.5%
8 90
12.3%
1 82
11.2%
4 68
9.3%
2 61
8.3%
6 54
7.4%
9 41
 
5.6%
3 41
 
5.6%
7 36
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 610
83.3%
Dash Punctuation 122
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 106
17.4%
8 90
14.8%
1 82
13.4%
4 68
11.1%
2 61
10.0%
6 54
8.9%
9 41
 
6.7%
3 41
 
6.7%
7 36
 
5.9%
5 31
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 732
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 122
16.7%
0 106
14.5%
8 90
12.3%
1 82
11.2%
4 68
9.3%
2 61
8.3%
6 54
7.4%
9 41
 
5.6%
3 41
 
5.6%
7 36
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 732
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 122
16.7%
0 106
14.5%
8 90
12.3%
1 82
11.2%
4 68
9.3%
2 61
8.3%
6 54
7.4%
9 41
 
5.6%
3 41
 
5.6%
7 36
 
4.9%
Distinct33
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size616.0 B
2024-03-15T10:18:19.347868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9344262
Min length2

Characters and Unicode

Total characters179
Distinct characters53
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)8.2%

Sample

1st row김명길
2nd row김유선
3rd row김유선
4th row김준채
5th row김준채
ValueCountFrequency (%)
이진수 2
 
3.3%
김대열 2
 
3.3%
공계자 2
 
3.3%
노을 2
 
3.3%
정호성 2
 
3.3%
정운호 2
 
3.3%
이현 2
 
3.3%
김기준 2
 
3.3%
김대성 2
 
3.3%
조호성 2
 
3.3%
Other values (23) 41
67.2%
2024-03-15T10:18:21.026151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
8.4%
11
 
6.1%
10
 
5.6%
9
 
5.0%
8
 
4.5%
8
 
4.5%
6
 
3.4%
6
 
3.4%
6
 
3.4%
6
 
3.4%
Other values (43) 94
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
15
 
8.4%
11
 
6.1%
10
 
5.6%
9
 
5.0%
8
 
4.5%
8
 
4.5%
6
 
3.4%
6
 
3.4%
6
 
3.4%
6
 
3.4%
Other values (43) 94
52.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
15
 
8.4%
11
 
6.1%
10
 
5.6%
9
 
5.0%
8
 
4.5%
8
 
4.5%
6
 
3.4%
6
 
3.4%
6
 
3.4%
6
 
3.4%
Other values (43) 94
52.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
15
 
8.4%
11
 
6.1%
10
 
5.6%
9
 
5.0%
8
 
4.5%
8
 
4.5%
6
 
3.4%
6
 
3.4%
6
 
3.4%
6
 
3.4%
Other values (43) 94
52.5%
Distinct33
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size616.0 B
2024-03-15T10:18:21.841497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.032787
Min length12

Characters and Unicode

Total characters734
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)8.2%

Sample

1st row062-513-9019
2nd row062-944-2119
3rd row062-944-2119
4th row062-432-9991
5th row062-432-9991
ValueCountFrequency (%)
062-975-0130 2
 
3.3%
062-974-1997 2
 
3.3%
062-673-7373 2
 
3.3%
062-512-5383 2
 
3.3%
070-4252-8754 2
 
3.3%
062-710-4911 2
 
3.3%
062-575-3471 2
 
3.3%
062-975-0735 2
 
3.3%
062-974-0446 2
 
3.3%
062-652-2290 2
 
3.3%
Other values (23) 41
67.2%
2024-03-15T10:18:23.066603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 122
16.6%
0 102
13.9%
2 99
13.5%
6 83
11.3%
1 69
9.4%
7 54
7.4%
3 50
6.8%
4 50
6.8%
5 44
 
6.0%
9 41
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 612
83.4%
Dash Punctuation 122
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 102
16.7%
2 99
16.2%
6 83
13.6%
1 69
11.3%
7 54
8.8%
3 50
8.2%
4 50
8.2%
5 44
7.2%
9 41
6.7%
8 20
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 734
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 122
16.6%
0 102
13.9%
2 99
13.5%
6 83
11.3%
1 69
9.4%
7 54
7.4%
3 50
6.8%
4 50
6.8%
5 44
 
6.0%
9 41
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 734
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 122
16.6%
0 102
13.9%
2 99
13.5%
6 83
11.3%
1 69
9.4%
7 54
7.4%
3 50
6.8%
4 50
6.8%
5 44
 
6.0%
9 41
 
5.6%
Distinct33
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size616.0 B
2024-03-15T10:18:23.904001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.065574
Min length12

Characters and Unicode

Total characters736
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)8.2%

Sample

1st row062-513-9018
2nd row062-944-2116
3rd row062-944-2116
4th row062-443-0299
5th row062-443-0299
ValueCountFrequency (%)
0505-300-5909 2
 
3.3%
062-974-1996 2
 
3.3%
062-673-7372 2
 
3.3%
062-513-5383 2
 
3.3%
062-443-0316 2
 
3.3%
062-710-4920 2
 
3.3%
062-574-3474 2
 
3.3%
062-975-0736 2
 
3.3%
062-974-0447 2
 
3.3%
062-528-0052 2
 
3.3%
Other values (23) 41
67.2%
2024-03-15T10:18:25.127181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 122
16.6%
0 106
14.4%
2 102
13.9%
6 86
11.7%
1 58
7.9%
3 56
7.6%
7 55
7.5%
4 51
6.9%
5 41
 
5.6%
9 40
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 614
83.4%
Dash Punctuation 122
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 106
17.3%
2 102
16.6%
6 86
14.0%
1 58
9.4%
3 56
9.1%
7 55
9.0%
4 51
8.3%
5 41
 
6.7%
9 40
 
6.5%
8 19
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 736
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 122
16.6%
0 106
14.4%
2 102
13.9%
6 86
11.7%
1 58
7.9%
3 56
7.6%
7 55
7.5%
4 51
6.9%
5 41
 
5.6%
9 40
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 736
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 122
16.6%
0 106
14.4%
2 102
13.9%
6 86
11.7%
1 58
7.9%
3 56
7.6%
7 55
7.5%
4 51
6.9%
5 41
 
5.6%
9 40
 
5.4%

주소
Text

Distinct33
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size616.0 B
2024-03-15T10:18:26.043316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length46
Mean length40.606557
Min length30

Characters and Unicode

Total characters2477
Distinct characters112
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)8.2%

Sample

1st row(62074) 광주광역시 서구 매월2로 53 ,9동 119호(매월동,광주산업용재유통센터)
2nd row(62308) 광주광역시 광산구 수완로11번안길 16 (수완동)
3rd row(62308) 광주광역시 광산구 수완로11번안길 16 (수완동)
4th row(61950) 광주광역시 서구 치평로 124 (치평동)
5th row(61950) 광주광역시 서구 치평로 124 (치평동)
ValueCountFrequency (%)
광주광역시 61
 
14.8%
북구 25
 
6.1%
서구 15
 
3.6%
43-22 10
 
2.4%
61011 10
 
2.4%
첨단과기로208번길 10
 
2.4%
광산구 8
 
1.9%
8
 
1.9%
남구 7
 
1.7%
동구 6
 
1.5%
Other values (124) 251
61.1%
2024-03-15T10:18:27.452917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
350
 
14.1%
1 140
 
5.7%
131
 
5.3%
( 128
 
5.2%
) 128
 
5.2%
2 119
 
4.8%
6 104
 
4.2%
92
 
3.7%
0 87
 
3.5%
62
 
2.5%
Other values (102) 1136
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1124
45.4%
Decimal Number 674
27.2%
Space Separator 350
 
14.1%
Open Punctuation 128
 
5.2%
Close Punctuation 128
 
5.2%
Other Punctuation 41
 
1.7%
Dash Punctuation 26
 
1.0%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
131
 
11.7%
92
 
8.2%
62
 
5.5%
62
 
5.5%
61
 
5.4%
61
 
5.4%
59
 
5.2%
28
 
2.5%
26
 
2.3%
26
 
2.3%
Other values (85) 516
45.9%
Decimal Number
ValueCountFrequency (%)
1 140
20.8%
2 119
17.7%
6 104
15.4%
0 87
12.9%
4 49
 
7.3%
5 46
 
6.8%
3 45
 
6.7%
7 37
 
5.5%
8 25
 
3.7%
9 22
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 4
66.7%
A 2
33.3%
Space Separator
ValueCountFrequency (%)
350
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Other Punctuation
ValueCountFrequency (%)
, 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1347
54.4%
Hangul 1124
45.4%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
131
 
11.7%
92
 
8.2%
62
 
5.5%
62
 
5.5%
61
 
5.4%
61
 
5.4%
59
 
5.2%
28
 
2.5%
26
 
2.3%
26
 
2.3%
Other values (85) 516
45.9%
Common
ValueCountFrequency (%)
350
26.0%
1 140
 
10.4%
( 128
 
9.5%
) 128
 
9.5%
2 119
 
8.8%
6 104
 
7.7%
0 87
 
6.5%
4 49
 
3.6%
5 46
 
3.4%
3 45
 
3.3%
Other values (5) 151
11.2%
Latin
ValueCountFrequency (%)
B 4
66.7%
A 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1353
54.6%
Hangul 1124
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
350
25.9%
1 140
 
10.3%
( 128
 
9.5%
) 128
 
9.5%
2 119
 
8.8%
6 104
 
7.7%
0 87
 
6.4%
4 49
 
3.6%
5 46
 
3.4%
3 45
 
3.3%
Other values (7) 157
11.6%
Hangul
ValueCountFrequency (%)
131
 
11.7%
92
 
8.2%
62
 
5.5%
62
 
5.5%
61
 
5.4%
61
 
5.4%
59
 
5.2%
28
 
2.5%
26
 
2.3%
26
 
2.3%
Other values (85) 516
45.9%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size616.0 B
설계업
61 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
설계업 61
100.0%

Length

2024-03-15T10:18:27.688397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:18:27.871811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
설계업 61
100.0%

분야
Categorical

Distinct3
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size616.0 B
일반(전기)
29 
일반(기계)
28 
전문

Length

Max length6
Median length6
Mean length5.7377049
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전문
2nd row일반(기계)
3rd row일반(전기)
4th row일반(기계)
5th row일반(전기)

Common Values

ValueCountFrequency (%)
일반(전기) 29
47.5%
일반(기계) 28
45.9%
전문 4
 
6.6%

Length

2024-03-15T10:18:28.147468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:18:28.376870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반(전기 29
47.5%
일반(기계 28
45.9%
전문 4
 
6.6%
Distinct34
Distinct (%)55.7%
Missing0
Missing (%)0.0%
Memory size616.0 B
2024-03-15T10:18:29.130527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.131148
Min length10

Characters and Unicode

Total characters740
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)11.5%

Sample

1st row2023-01-00103
2nd row2018-01-00162
3rd row2018-01-00162
4th row제2008-나-12호
5th row제2008-나-12호
ValueCountFrequency (%)
2021-01-00063 2
 
3.3%
제광주서부2014-13호 2
 
3.3%
2018-01-00138 2
 
3.3%
2019-01-00073 2
 
3.3%
2018-01-00093 2
 
3.3%
2019-01-00048 2
 
3.3%
2019-01-00072 2
 
3.3%
2020-01-00069 2
 
3.3%
2019-01-00180 2
 
3.3%
2015-01-00075 2
 
3.3%
Other values (24) 41
67.2%
2024-03-15T10:18:30.266518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 227
30.7%
- 120
16.2%
1 112
15.1%
2 93
12.6%
3 25
 
3.4%
21
 
2.8%
21
 
2.8%
9 20
 
2.7%
8 18
 
2.4%
5 16
 
2.2%
Other values (12) 67
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 551
74.5%
Dash Punctuation 120
 
16.2%
Other Letter 69
 
9.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
30.4%
21
30.4%
6
 
8.7%
5
 
7.2%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Decimal Number
ValueCountFrequency (%)
0 227
41.2%
1 112
20.3%
2 93
16.9%
3 25
 
4.5%
9 20
 
3.6%
8 18
 
3.3%
5 16
 
2.9%
6 15
 
2.7%
7 13
 
2.4%
4 12
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 671
90.7%
Hangul 69
 
9.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 227
33.8%
- 120
17.9%
1 112
16.7%
2 93
13.9%
3 25
 
3.7%
9 20
 
3.0%
8 18
 
2.7%
5 16
 
2.4%
6 15
 
2.2%
7 13
 
1.9%
Hangul
ValueCountFrequency (%)
21
30.4%
21
30.4%
6
 
8.7%
5
 
7.2%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 671
90.7%
Hangul 69
 
9.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 227
33.8%
- 120
17.9%
1 112
16.7%
2 93
13.9%
3 25
 
3.7%
9 20
 
3.0%
8 18
 
2.7%
5 16
 
2.4%
6 15
 
2.2%
7 13
 
1.9%
Hangul
ValueCountFrequency (%)
21
30.4%
21
30.4%
6
 
8.7%
5
 
7.2%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Distinct35
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Memory size616.0 B
Minimum2004-11-15 00:00:00
Maximum2023-10-05 00:00:00
2024-03-15T10:18:30.684745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:18:30.963023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

폐업여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)100.0%
Memory size677.0 B

Interactions

2024-03-15T10:18:11.796756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:18:31.237461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 0세부지역상호사업자등록번호대표자전화번호팩스번호주소분야소방시설업 등록번호등록일자
Unnamed: 01.0000.7700.9780.9780.9780.9780.9780.9780.0000.9820.988
세부지역0.7701.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
상호0.9781.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
사업자등록번호0.9781.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
대표자0.9781.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
전화번호0.9781.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
팩스번호0.9781.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
주소0.9781.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
분야0.0000.0000.0000.0000.0000.0000.0000.0001.0000.0000.000
소방시설업 등록번호0.9821.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
등록일자0.9881.0001.0001.0001.0001.0001.0001.0000.0001.0001.000
2024-03-15T10:18:31.563034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세부지역분야
세부지역1.0000.000
분야0.0001.000
2024-03-15T10:18:31.822571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 0세부지역분야
Unnamed: 01.0000.4750.000
세부지역0.4751.0000.000
분야0.0000.0001.000

Missing values

2024-03-15T10:18:12.156946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:18:12.483148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Unnamed: 0세부지역상호사업자등록번호대표자전화번호팩스번호주소업종분야소방시설업 등록번호등록일자폐업여부
01서구세기방재(주)409-81-84225김명길062-513-9019062-513-9018(62074) 광주광역시 서구 매월2로 53 ,9동 119호(매월동,광주산업용재유통센터)설계업전문2023-01-001032023-10-05<NA>
12광산구우림이앤씨410-16-63993김유선062-944-2119062-944-2116(62308) 광주광역시 광산구 수완로11번안길 16 (수완동)설계업일반(기계)2018-01-001622018-12-06<NA>
23광산구우림이앤씨410-16-63993김유선062-944-2119062-944-2116(62308) 광주광역시 광산구 수완로11번안길 16 (수완동)설계업일반(전기)2018-01-001622018-12-06<NA>
34서구좋은엔지니어링410-15-37877김준채062-432-9991062-443-0299(61950) 광주광역시 서구 치평로 124 (치평동)설계업일반(기계)제2008-나-12호2008-06-13<NA>
45서구좋은엔지니어링410-15-37877김준채062-432-9991062-443-0299(61950) 광주광역시 서구 치평로 124 (치평동)설계업일반(전기)제2008-나-12호2008-06-13<NA>
56남구(주)상현이앤지408-86-03262배기태062-444-2119062-675-1119(61752) 광주광역시 남구 신만산길 43 (원산동)설계업일반(기계)제2013-마-4호2013-08-02<NA>
67남구(주)상현이앤지408-86-03262배기태062-444-2119062-675-1119(61752) 광주광역시 남구 신만산길 43 (원산동)설계업일반(전기)제2013-마-4호2013-08-02<NA>
78동구(주)리가온건축사사무소408-86-03812이현조062-415-7210062-415-7239(61432) 광주광역시 동구 동명로 57 , 4층(동명동)설계업일반(기계)2019-01-001092013-11-14<NA>
89동구(주)리가온건축사사무소408-86-03812이현조062-415-7210062-415-7239(61432) 광주광역시 동구 동명로 57 , 4층(동명동)설계업일반(전기)2019-01-001092013-11-14<NA>
910북구(주)필소방410-86-88702고필문062-974-0823062-974-0828(61011) 광주광역시 북구 첨단과기로208번길 43-22 , 비동 12층 1206호(오룡동,와이어스파크 지식산업센터)설계업일반(기계)2023-01-000192015-03-12<NA>
Unnamed: 0세부지역상호사업자등록번호대표자전화번호팩스번호주소업종분야소방시설업 등록번호등록일자폐업여부
5152북구리우이앤시164-14-00960김기준062-975-0735062-975-0736(61011) 광주광역시 북구 첨단과기로208번길 43-22 ,B동 7층 707호(오룡동,와이어스파크(지식산업센터))설계업일반(전기)2019-01-001802019-12-11<NA>
5253서구주식회사 신가전기116-88-01087유정남062-651-4024062-682-1372(62058) 광주광역시 서구 풍암2로 2 ,4층402호(풍암동)설계업일반(기계)2020-01-000692020-05-06<NA>
5354서구주식회사 신가전기116-88-01087유정남062-651-4024062-682-1372(62058) 광주광역시 서구 풍암2로 2 ,4층402호(풍암동)설계업일반(전기)2020-01-000692020-05-06<NA>
5455북구주식회사 대담엔지니어링752-86-01628김현덕062-384-82310504-337-8231(61199) 광주광역시 북구 동문대로 116 ,5층(두암동)설계업일반(기계)2020-01-000822020-06-05<NA>
5556북구주식회사 대담엔지니어링752-86-01628김현덕062-384-82310504-337-8231(61199) 광주광역시 북구 동문대로 116 ,5층(두암동)설계업일반(전기)2020-01-000822020-06-05<NA>
5657광산구주식회사 피치이앤씨232-87-01723임정호062-531-6119062-531-6120(62216) 광주광역시 광산구 하남산단6번로 57 ,산업동407호(오선동)설계업전문2020-01-001672020-12-29<NA>
5758서구주식회사 나래이엔씨229-88-02290오성일062-521-8228062-521-7227(61955) 광주광역시 서구 상무대로673번길 8 (마륵동)설계업일반(기계)2022-01-000432022-04-26<NA>
5859서구주식회사 나래이엔씨229-88-02290오성일062-521-8228062-521-7227(61955) 광주광역시 서구 상무대로673번길 8 (마륵동)설계업일반(전기)2022-01-000432022-04-26<NA>
5960북구주식회사 대담이노텍388-86-02784김유연062-412-1177062-412-1178(61199) 광주광역시 북구 동문대로 116 ,5층 501호(두암동)설계업일반(기계)2022-01-001062022-11-01<NA>
6061북구주식회사 대담이노텍388-86-02784김유연062-412-1177062-412-1178(61199) 광주광역시 북구 동문대로 116 ,5층 501호(두암동)설계업일반(전기)2022-01-001062022-11-01<NA>