Overview

Dataset statistics

Number of variables6
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory52.9 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description2023.6.21.현재 대전광역시 승강기사업자 등록현황 - 구분 : 승강기유지관리업 30개사, 승강기 및 승강기부품제조업 4개사
URLhttps://www.data.go.kr/data/15081902/fileData.do

Alerts

업체구분 is highly imbalanced (59.6%)Imbalance
연번 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:05:25.648023
Analysis finished2023-12-12 13:05:26.292068
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T22:05:26.351263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2023-12-12T22:05:26.510527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

업체구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
유지관리업
30 
승강기부품제조업
 
2
승강기제조업
 
2

Length

Max length8
Median length5
Mean length5.2352941
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유지관리업 30
88.2%
승강기부품제조업 2
 
5.9%
승강기제조업 2
 
5.9%

Length

2023-12-12T22:05:26.679796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:05:26.799249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유지관리업 30
88.2%
승강기부품제조업 2
 
5.9%
승강기제조업 2
 
5.9%
Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T22:05:27.038646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.0294118
Min length4

Characters and Unicode

Total characters307
Distinct characters74
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)94.1%

Sample

1st row㈜동부엘리베이터
2nd row제일엘리베이터
3rd row주식회사동아엘리베이터
4th row대화엘리베이터
5th row주식회사 대건승강기
ValueCountFrequency (%)
신일엘리베이터㈜ 2
 
5.6%
주식회사 2
 
5.6%
㈜우성이비에스 1
 
2.8%
웅진테크엘리베이터㈜ 1
 
2.8%
한국미쓰비시엘리베이터주식회사 1
 
2.8%
아이원엔지니어링㈜ 1
 
2.8%
대한엘리베이터㈜ 1
 
2.8%
㈜쉰들러엘리베이터대전지점 1
 
2.8%
㈜에이알엘리베이터 1
 
2.8%
우리엘리베이터㈜ 1
 
2.8%
Other values (24) 24
66.7%
2023-12-12T22:05:27.464163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
9.4%
26
 
8.5%
24
 
7.8%
22
 
7.2%
22
 
7.2%
22
 
7.2%
10
 
3.3%
9
 
2.9%
6
 
2.0%
6
 
2.0%
Other values (64) 131
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 278
90.6%
Other Symbol 24
 
7.8%
Space Separator 2
 
0.7%
Open Punctuation 1
 
0.3%
Decimal Number 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
10.4%
26
 
9.4%
22
 
7.9%
22
 
7.9%
22
 
7.9%
10
 
3.6%
9
 
3.2%
6
 
2.2%
6
 
2.2%
5
 
1.8%
Other values (59) 121
43.5%
Other Symbol
ValueCountFrequency (%)
24
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
98.4%
Common 5
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
9.6%
26
 
8.6%
24
 
7.9%
22
 
7.3%
22
 
7.3%
22
 
7.3%
10
 
3.3%
9
 
3.0%
6
 
2.0%
6
 
2.0%
Other values (60) 126
41.7%
Common
ValueCountFrequency (%)
2
40.0%
( 1
20.0%
1 1
20.0%
) 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 278
90.6%
None 24
 
7.8%
ASCII 5
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
29
 
10.4%
26
 
9.4%
22
 
7.9%
22
 
7.9%
22
 
7.9%
10
 
3.6%
9
 
3.2%
6
 
2.2%
6
 
2.2%
5
 
1.8%
Other values (59) 121
43.5%
None
ValueCountFrequency (%)
24
100.0%
ASCII
ValueCountFrequency (%)
2
40.0%
( 1
20.0%
1 1
20.0%
) 1
20.0%
Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T22:05:27.658762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.3823529
Min length3

Characters and Unicode

Total characters115
Distinct characters75
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

Unique32 ?
Unique (%)94.1%

Sample

1st row김광식
2nd row안중업
3rd row전광진
4th row김중배
5th row장보윤
ValueCountFrequency (%)
장진모 2
 
5.9%
김광식 1
 
2.9%
이미숙 1
 
2.9%
오주영 1
 
2.9%
유인자 1
 
2.9%
송승봉 1
 
2.9%
남주덕 1
 
2.9%
박준용 1
 
2.9%
장소연 1
 
2.9%
이아란 1
 
2.9%
Other values (23) 23
67.6%
2023-12-12T22:05:28.007197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
 
4.3%
5
 
4.3%
4
 
3.5%
4
 
3.5%
4
 
3.5%
4
 
3.5%
4
 
3.5%
3
 
2.6%
2
 
1.7%
2
 
1.7%
Other values (65) 78
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
99.1%
Decimal Number 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5
 
4.4%
5
 
4.4%
4
 
3.5%
4
 
3.5%
4
 
3.5%
4
 
3.5%
4
 
3.5%
3
 
2.6%
2
 
1.8%
2
 
1.8%
Other values (64) 77
67.5%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114
99.1%
Common 1
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5
 
4.4%
5
 
4.4%
4
 
3.5%
4
 
3.5%
4
 
3.5%
4
 
3.5%
4
 
3.5%
3
 
2.6%
2
 
1.8%
2
 
1.8%
Other values (64) 77
67.5%
Common
ValueCountFrequency (%)
1 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114
99.1%
ASCII 1
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5
 
4.4%
5
 
4.4%
4
 
3.5%
4
 
3.5%
4
 
3.5%
4
 
3.5%
4
 
3.5%
3
 
2.6%
2
 
1.8%
2
 
1.8%
Other values (64) 77
67.5%
ASCII
ValueCountFrequency (%)
1 1
100.0%

소재지
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T22:05:28.290742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36.5
Mean length33.088235
Min length23

Characters and Unicode

Total characters1125
Distinct characters131
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row대전광역시 동구 대전로340번길 46, 광영빌딩 2층 (대성동)
2nd row대전광역시 대덕구 한밭대로1036번길 27 (오정동)
3rd row대전광역시 대덕구 대화로 160,산업용재유통상가 10동 231호 (대화동)
4th row대전광역시 중구 대종로386번길 99, 2층 (문창동)
5th row대전광역시 중구 동서대로 1298-9, 2층 (오류동)
ValueCountFrequency (%)
대전광역시 33
 
15.3%
서구 10
 
4.6%
유성구 9
 
4.2%
중구 7
 
3.2%
대덕구 6
 
2.8%
2층 5
 
2.3%
3층 3
 
1.4%
대화동 2
 
0.9%
동구 2
 
0.9%
대화로 2
 
0.9%
Other values (126) 137
63.4%
2023-12-12T22:05:28.772806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
 
16.3%
64
 
5.7%
1 45
 
4.0%
42
 
3.7%
36
 
3.2%
35
 
3.1%
34
 
3.0%
, 33
 
2.9%
( 33
 
2.9%
) 33
 
2.9%
Other values (121) 587
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 637
56.6%
Decimal Number 196
 
17.4%
Space Separator 183
 
16.3%
Other Punctuation 33
 
2.9%
Open Punctuation 33
 
2.9%
Close Punctuation 33
 
2.9%
Dash Punctuation 10
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
64
 
10.0%
42
 
6.6%
36
 
5.7%
35
 
5.5%
34
 
5.3%
33
 
5.2%
33
 
5.2%
33
 
5.2%
17
 
2.7%
16
 
2.5%
Other values (106) 294
46.2%
Decimal Number
ValueCountFrequency (%)
1 45
23.0%
2 31
15.8%
3 26
13.3%
0 22
11.2%
6 18
 
9.2%
5 12
 
6.1%
4 12
 
6.1%
7 11
 
5.6%
9 11
 
5.6%
8 8
 
4.1%
Space Separator
ValueCountFrequency (%)
183
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 637
56.6%
Common 488
43.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
64
 
10.0%
42
 
6.6%
36
 
5.7%
35
 
5.5%
34
 
5.3%
33
 
5.2%
33
 
5.2%
33
 
5.2%
17
 
2.7%
16
 
2.5%
Other values (106) 294
46.2%
Common
ValueCountFrequency (%)
183
37.5%
1 45
 
9.2%
, 33
 
6.8%
( 33
 
6.8%
) 33
 
6.8%
2 31
 
6.4%
3 26
 
5.3%
0 22
 
4.5%
6 18
 
3.7%
5 12
 
2.5%
Other values (5) 52
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 637
56.6%
ASCII 488
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
37.5%
1 45
 
9.2%
, 33
 
6.8%
( 33
 
6.8%
) 33
 
6.8%
2 31
 
6.4%
3 26
 
5.3%
0 22
 
4.5%
6 18
 
3.7%
5 12
 
2.5%
Other values (5) 52
 
10.7%
Hangul
ValueCountFrequency (%)
64
 
10.0%
42
 
6.6%
36
 
5.7%
35
 
5.5%
34
 
5.3%
33
 
5.2%
33
 
5.2%
33
 
5.2%
17
 
2.7%
16
 
2.5%
Other values (106) 294
46.2%
Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T22:05:29.009063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters408
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

Unique32 ?
Unique (%)94.1%

Sample

1st row042-273-5933
2nd row042-636-7676
3rd row042-622-2446
4th row042-221-9892
5th row042-472-0401
ValueCountFrequency (%)
042-822-7260 2
 
5.9%
042-273-5933 1
 
2.9%
042-933-3633 1
 
2.9%
042-935-4695 1
 
2.9%
042-633-0406 1
 
2.9%
042-536-1045 1
 
2.9%
042-628-8590 1
 
2.9%
042-528-7233 1
 
2.9%
042-824-2140 1
 
2.9%
042-538-9300 1
 
2.9%
Other values (23) 23
67.6%
2023-12-12T22:05:29.339203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 74
18.1%
- 68
16.7%
0 62
15.2%
4 54
13.2%
5 29
 
7.1%
3 28
 
6.9%
8 25
 
6.1%
6 24
 
5.9%
1 19
 
4.7%
7 13
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 340
83.3%
Dash Punctuation 68
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 74
21.8%
0 62
18.2%
4 54
15.9%
5 29
 
8.5%
3 28
 
8.2%
8 25
 
7.4%
6 24
 
7.1%
1 19
 
5.6%
7 13
 
3.8%
9 12
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 74
18.1%
- 68
16.7%
0 62
15.2%
4 54
13.2%
5 29
 
7.1%
3 28
 
6.9%
8 25
 
6.1%
6 24
 
5.9%
1 19
 
4.7%
7 13
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 74
18.1%
- 68
16.7%
0 62
15.2%
4 54
13.2%
5 29
 
7.1%
3 28
 
6.9%
8 25
 
6.1%
6 24
 
5.9%
1 19
 
4.7%
7 13
 
3.2%

Interactions

2023-12-12T22:05:25.987576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:05:29.448703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체구분업체명대표자소재지전화번호
연번1.0000.7070.9280.9281.0000.928
업체구분0.7071.0000.0000.0001.0000.000
업체명0.9280.0001.0001.0001.0001.000
대표자0.9280.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000
전화번호0.9280.0001.0001.0001.0001.000
2023-12-12T22:05:29.548258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체구분
연번1.0000.492
업체구분0.4921.000

Missing values

2023-12-12T22:05:26.115021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:05:26.250908image/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

연번업체구분업체명대표자소재지전화번호
01유지관리업㈜동부엘리베이터김광식대전광역시 동구 대전로340번길 46, 광영빌딩 2층 (대성동)042-273-5933
12유지관리업제일엘리베이터안중업대전광역시 대덕구 한밭대로1036번길 27 (오정동)042-636-7676
23유지관리업주식회사동아엘리베이터전광진대전광역시 대덕구 대화로 160,산업용재유통상가 10동 231호 (대화동)042-622-2446
34유지관리업대화엘리베이터김중배대전광역시 중구 대종로386번길 99, 2층 (문창동)042-221-9892
45유지관리업주식회사 대건승강기장보윤대전광역시 중구 동서대로 1298-9, 2층 (오류동)042-472-0401
56유지관리업건영엔지니어링㈜권영복대전광역시 중구 테미로 53-1 (대흥동)042-226-0906
67유지관리업티케이엘리베이터코리아㈜충청1지사서득현대전광역시 중구 계룡로 800, 동아생명빌딩 13층 (오류동)042-525-7241
78유지관리업후지테크코리아㈜대전영업소윤승수대전광역시 중구 계백로 1712, 기독교연합봉사회관 중2층 (문화동)042-253-2085
89유지관리업㈜중부엘리베이터석영태대전광역시 중구 계백로 1619, 벽산프라자 501-2호 (유천동)042-632-1801
910유지관리업금강엘리베이터㈜신철수대전광역시 중구 수침로 73-1, 3층 (태평동)042-534-9564
연번업체구분업체명대표자소재지전화번호
2425유지관리업㈜에이알엘리베이터이아란대전광역시 유성구 유성대로 613-9, 2층 (구암동)042-538-9300
2526유지관리업㈜우성이비에스장소연대전광역시 유성구 월드컵대로 307번길 44, 101호 (구암동)042-824-2140
2627유지관리업신일엘리베이터㈜장진모대전광역시 유성구 대학로 27, 901호 (봉명동,현대리조텔)042-822-7260
2728유지관리업우리엘리베이터㈜박준용대전광역시 대덕구 신탄진로681번길 12, 5층 (덕암동)042-528-7233
2829유지관리업㈜신호엘리베이터남주덕대전광역시 대덕구 선비마을로6번길 15-2 (송촌동)042-628-8590
2930유지관리업현대엘리베이터㈜대전지사송승봉대전광역시 대덕구 한밭대로 1027, 우성빌딩 6층 (오정동)042-536-1045
3031승강기부품제조업한국테크유인자대전광역시 동구 석천로 3-19 (낭월동)042-633-0406
3132승강기부품제조업대한자동화오주영대전광역시 유성구 용산동 533-1미건테크노월드 330호 및 331호042-935-4695
3233승강기제조업신일엘리베이터㈜장진모대전광역시 대덕구 대화로 161번길 7 (대화동)042-822-7260
3334승강기제조업동양승강기 주식회사정우진대전광역시 유성구 북유성대로 219, 210호 (지족동, 인앤인주상복합)041-532-1226