Overview

Dataset statistics

Number of variables5
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory43.2 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description고압가스안전관리법에 따라 업무 위탁된 가스용기, 특정설비 등에 대한 전문검사기관의 지역별 현황(업소명, 소재지, 전화번호 등)을 제공하여 국민분(가스업게 종사자)에게 편익을 제공하고자 공개하는 데이터입니다.
Author한국가스안전공사
URLhttps://www.data.go.kr/data/15001501/fileData.do

Reproduction

Analysis started2023-12-12 03:15:47.393376
Analysis finished2023-12-12 03:15:48.421654
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

Distinct24
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.7
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-12T12:15:48.509246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q15.75
median10.5
Q315.25
95-th percentile21.05
Maximum24
Range23
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation6.1734807
Coefficient of variation (CV)0.57696082
Kurtosis-0.87527701
Mean10.7
Median Absolute Deviation (MAD)5
Skewness0.2086122
Sum642
Variance38.111864
MonotonicityNot monotonic
2023-12-12T12:15:48.704842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 3
 
5.0%
11 3
 
5.0%
18 3
 
5.0%
17 3
 
5.0%
16 3
 
5.0%
15 3
 
5.0%
14 3
 
5.0%
2 3
 
5.0%
12 3
 
5.0%
13 3
 
5.0%
Other values (14) 30
50.0%
ValueCountFrequency (%)
1 3
5.0%
2 3
5.0%
3 3
5.0%
4 3
5.0%
5 3
5.0%
6 3
5.0%
7 3
5.0%
8 3
5.0%
9 3
5.0%
10 3
5.0%
ValueCountFrequency (%)
24 1
 
1.7%
23 1
 
1.7%
22 1
 
1.7%
21 1
 
1.7%
20 1
 
1.7%
19 1
 
1.7%
18 3
5.0%
17 3
5.0%
16 3
5.0%
15 3
5.0%

구분
Categorical

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
특정설비
24 
고압가스용기
18 
LPG용기
18 

Length

Max length6
Median length5
Mean length4.9
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
특정설비 24
40.0%
고압가스용기 18
30.0%
LPG용기 18
30.0%

Length

2023-12-12T12:15:48.948546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:15:49.122189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특정설비 24
40.0%
고압가스용기 18
30.0%
lpg용기 18
30.0%
Distinct56
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T12:15:49.460394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length7.85
Min length3

Characters and Unicode

Total characters471
Distinct characters102
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)86.7%

Sample

1st row㈜대한이앤지
2nd row(주)고려플랜트
3rd row태아종합검사(주)
4th row서해플랜트
5th row한국아이티오(주)
ValueCountFrequency (%)
대운가스플랜트(주 2
 
3.1%
디앨(주 2
 
3.1%
㈜씨스텍 2
 
3.1%
덕평검사소 2
 
3.1%
대진산업(주 2
 
3.1%
백광산업(주 1
 
1.6%
주)대한산업 1
 
1.6%
주식회사한컴라이프케어용기재검사소 1
 
1.6%
한국특수가스(주 1
 
1.6%
주)백광ist 1
 
1.6%
Other values (49) 49
76.6%
2023-12-12T12:15:50.004631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
8.7%
( 40
 
8.5%
) 40
 
8.5%
20
 
4.2%
17
 
3.6%
13
 
2.8%
13
 
2.8%
12
 
2.5%
12
 
2.5%
11
 
2.3%
Other values (92) 252
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
77.7%
Open Punctuation 40
 
8.5%
Close Punctuation 40
 
8.5%
Other Symbol 17
 
3.6%
Space Separator 5
 
1.1%
Uppercase Letter 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
41
 
11.2%
20
 
5.5%
13
 
3.6%
13
 
3.6%
12
 
3.3%
12
 
3.3%
11
 
3.0%
11
 
3.0%
11
 
3.0%
10
 
2.7%
Other values (85) 212
57.9%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
S 1
33.3%
T 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Other Symbol
ValueCountFrequency (%)
17
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
81.3%
Common 85
 
18.0%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
41
 
10.7%
20
 
5.2%
17
 
4.4%
13
 
3.4%
13
 
3.4%
12
 
3.1%
12
 
3.1%
11
 
2.9%
11
 
2.9%
11
 
2.9%
Other values (86) 222
58.0%
Common
ValueCountFrequency (%)
( 40
47.1%
) 40
47.1%
5
 
5.9%
Latin
ValueCountFrequency (%)
I 1
33.3%
S 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
77.7%
ASCII 88
 
18.7%
None 17
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
41
 
11.2%
20
 
5.5%
13
 
3.6%
13
 
3.6%
12
 
3.3%
12
 
3.3%
11
 
3.0%
11
 
3.0%
11
 
3.0%
10
 
2.7%
Other values (85) 212
57.9%
ASCII
ValueCountFrequency (%)
( 40
45.5%
) 40
45.5%
5
 
5.7%
I 1
 
1.1%
S 1
 
1.1%
T 1
 
1.1%
None
ValueCountFrequency (%)
17
100.0%
Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T12:15:50.286389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length20.366667
Min length13

Characters and Unicode

Total characters1222
Distinct characters156
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)93.3%

Sample

1st row강원 춘천시 신북읍 지내고탄로 199-38
2nd row경기도 구리시 아차산로 405번길 69
3rd row서울 영등포구 양산로 43 양평우림 e-Biz센타 1006호
4th row경기 평택시 현덕면 현덕서로 357
5th row경기 화성시 장안면 장안공단8길 37
ValueCountFrequency (%)
경기 14
 
4.8%
전남 6
 
2.1%
경기도 5
 
1.7%
경남 5
 
1.7%
경북 5
 
1.7%
충북 4
 
1.4%
화성시 4
 
1.4%
남구 3
 
1.0%
울산 3
 
1.0%
충남 3
 
1.0%
Other values (211) 237
82.0%
2023-12-12T12:15:50.815157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231
 
18.9%
48
 
3.9%
1 47
 
3.8%
46
 
3.8%
2 39
 
3.2%
33
 
2.7%
28
 
2.3%
26
 
2.1%
26
 
2.1%
6 25
 
2.0%
Other values (146) 673
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 701
57.4%
Decimal Number 253
 
20.7%
Space Separator 231
 
18.9%
Dash Punctuation 24
 
2.0%
Other Punctuation 5
 
0.4%
Lowercase Letter 3
 
0.2%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
48
 
6.8%
46
 
6.6%
33
 
4.7%
28
 
4.0%
26
 
3.7%
26
 
3.7%
20
 
2.9%
19
 
2.7%
17
 
2.4%
16
 
2.3%
Other values (127) 422
60.2%
Decimal Number
ValueCountFrequency (%)
1 47
18.6%
2 39
15.4%
6 25
9.9%
5 24
9.5%
3 24
9.5%
8 21
8.3%
9 20
7.9%
4 20
7.9%
7 18
 
7.1%
0 15
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
z 1
33.3%
e 1
33.3%
i 1
33.3%
Space Separator
ValueCountFrequency (%)
231
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 701
57.4%
Common 517
42.3%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
48
 
6.8%
46
 
6.6%
33
 
4.7%
28
 
4.0%
26
 
3.7%
26
 
3.7%
20
 
2.9%
19
 
2.7%
17
 
2.4%
16
 
2.3%
Other values (127) 422
60.2%
Common
ValueCountFrequency (%)
231
44.7%
1 47
 
9.1%
2 39
 
7.5%
6 25
 
4.8%
5 24
 
4.6%
- 24
 
4.6%
3 24
 
4.6%
8 21
 
4.1%
9 20
 
3.9%
4 20
 
3.9%
Other values (5) 42
 
8.1%
Latin
ValueCountFrequency (%)
z 1
25.0%
e 1
25.0%
B 1
25.0%
i 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 701
57.4%
ASCII 521
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231
44.3%
1 47
 
9.0%
2 39
 
7.5%
6 25
 
4.8%
5 24
 
4.6%
- 24
 
4.6%
3 24
 
4.6%
8 21
 
4.0%
9 20
 
3.8%
4 20
 
3.8%
Other values (9) 46
 
8.8%
Hangul
ValueCountFrequency (%)
48
 
6.8%
46
 
6.6%
33
 
4.7%
28
 
4.0%
26
 
3.7%
26
 
3.7%
20
 
2.9%
19
 
2.7%
17
 
2.4%
16
 
2.3%
Other values (127) 422
60.2%
Distinct57
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-12T12:15:51.205936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.066667
Min length11

Characters and Unicode

Total characters724
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)90.0%

Sample

1st row033-243-2432
2nd row02-2249-8320
3rd row02-2164-9280
4th row031-682-8205
5th row031-351-9051
ValueCountFrequency (%)
031-355-3329 2
 
3.3%
031-633-0383 2
 
3.3%
043-235-7100 2
 
3.3%
041-742-3690 1
 
1.7%
044-862-8161 1
 
1.7%
031-531-2101 1
 
1.7%
033-243-2432 1
 
1.7%
031-4048-7891 1
 
1.7%
062-951-0011 1
 
1.7%
051-974-7697 1
 
1.7%
Other values (47) 47
78.3%
2023-12-12T12:15:51.783515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 122
16.9%
- 120
16.6%
3 98
13.5%
1 69
9.5%
5 60
8.3%
4 54
7.5%
6 51
7.0%
2 50
6.9%
8 38
 
5.2%
7 33
 
4.6%
Other values (2) 29
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 602
83.1%
Dash Punctuation 120
 
16.6%
Space Separator 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 122
20.3%
3 98
16.3%
1 69
11.5%
5 60
10.0%
4 54
9.0%
6 51
8.5%
2 50
8.3%
8 38
 
6.3%
7 33
 
5.5%
9 27
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 724
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 122
16.9%
- 120
16.6%
3 98
13.5%
1 69
9.5%
5 60
8.3%
4 54
7.5%
6 51
7.0%
2 50
6.9%
8 38
 
5.2%
7 33
 
4.6%
Other values (2) 29
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 724
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 122
16.9%
- 120
16.6%
3 98
13.5%
1 69
9.5%
5 60
8.3%
4 54
7.5%
6 51
7.0%
2 50
6.9%
8 38
 
5.2%
7 33
 
4.6%
Other values (2) 29
 
4.0%

Interactions

2023-12-12T12:15:48.020489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:15:51.939609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분업 소 명소 재 지전화번호
번호1.0000.0000.9700.5300.955
구분0.0001.0000.5080.3250.000
업 소 명0.9700.5081.0000.9961.000
소 재 지0.5300.3250.9961.0000.996
전화번호0.9550.0001.0000.9961.000
2023-12-12T12:15:52.089758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분
번호1.0000.000
구분0.0001.000

Missing values

2023-12-12T12:15:48.214785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:15:48.365804image/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

번호구분업 소 명소 재 지전화번호
01특정설비㈜대한이앤지강원 춘천시 신북읍 지내고탄로 199-38033-243-2432
12특정설비(주)고려플랜트경기도 구리시 아차산로 405번길 6902-2249-8320
23특정설비태아종합검사(주)서울 영등포구 양산로 43 양평우림 e-Biz센타 1006호02-2164-9280
34특정설비서해플랜트경기 평택시 현덕면 현덕서로 357031-682-8205
45특정설비한국아이티오(주)경기 화성시 장안면 장안공단8길 37031-351-9051
56특정설비디앨(주)경기 화성시 서신면 제부로 722번길 36031-355-3329
67특정설비㈜씨스텍 덕평검사소경기도 이천시 마장면 서이천로 189-11031-633-0383
78특정설비㈜바텍경기 양주시 장흥면 호국로597번길 8-25031-826-8610
89특정설비㈜코리아텍경남 양산시 외산길 23-12(덕계동 436-4)052-256-0284
910특정설비㈜정우아이앤씨경북 포항시 남구 동해면 동해안로 5277번길 18054-274-1119
번호구분업 소 명소 재 지전화번호
509LPG용기(주)경북가스검사소경북 안동시 풍산읍 풍산단호로 131054-843-2662
5110LPG용기(주)나주가스전남 나주시 문평면 다시로 86061-335-4500
5211LPG용기(유)광전산업전남 곡성군 옥과면 월파로 162-25061-363-4607
5312LPG용기(주)신일에너지전남 담양군 무정면 무정로 593061-383-6501
5413LPG용기대신산업(주)경북 영천시 화산면 장수로 770-16054-336-8600
5514LPG용기(주)한성세종 연서면 홍축골길 3044-862-8161
5615LPG용기(주)동신산업충남 논산시 연무읍 동안로 950번길 63041-742-3690
5716LPG용기㈜미래에너지 제일검사소제주 제주시 한림읍 협재남2길 2064-796-1423
5817LPG용기대진산업(주)충북 청주시 흥덕구 강내면 황탄리길 169043-235-7100
5918LPG용기중원산업(주)충북 충주시 금가면 충원대로 1465043-853-6688