Overview

Dataset statistics

Number of variables7
Number of observations231
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.0 KiB
Average record size in memory57.6 B

Variable types

Numeric1
Text3
Categorical2
DateTime1

Dataset

Description경기도 김포시 고압가스 저장소 현황(순번, 법인명(상호), 세부종류,주소,취급가스정보, 데이터기준일자)에 대한 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15037671/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:58:25.750600
Analysis finished2023-12-12 04:58:26.451585
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116
Minimum1
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T13:58:26.557100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.5
Q158.5
median116
Q3173.5
95-th percentile219.5
Maximum231
Range230
Interquartile range (IQR)115

Descriptive statistics

Standard deviation66.828138
Coefficient of variation (CV)0.57610464
Kurtosis-1.2
Mean116
Median Absolute Deviation (MAD)58
Skewness0
Sum26796
Variance4466
MonotonicityStrictly increasing
2023-12-12T13:58:26.712853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
160 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
Other values (221) 221
95.7%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
231 1
0.4%
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%

법인명(상호)
Text

Distinct123
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T13:58:27.044443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length8.3722944
Min length2

Characters and Unicode

Total characters1934
Distinct characters217
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

Unique98 ?
Unique (%)42.4%

Sample

1st row코리아신탁(주)
2nd row코리아신탁(주)
3rd row코리아신탁(주)
4th row코리아신탁(주)
5th row코리아신탁(주)
ValueCountFrequency (%)
㈜피앤에이치로지스 26
 
10.5%
코리아신탁(주 24
 
9.7%
주)고암 19
 
7.7%
주)맥서브 10
 
4.0%
주)삼우에프앤지 9
 
3.6%
주)한국가스코 3
 
1.2%
주)서일 3
 
1.2%
한국스페셜가스 3
 
1.2%
주)한양정밀 3
 
1.2%
주)에스에스지닷컴 3
 
1.2%
Other values (126) 144
58.3%
2023-12-12T13:58:27.567471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 158
 
8.2%
) 158
 
8.2%
주 145
 
7.5%
스 97
 
5.0%
에 61
 
3.2%
이 50
 
2.6%
지 50
 
2.6%
앤 39
 
2.0%
아 37
 
1.9%
가 36
 
1.9%
Other values (207) 1103
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1538
79.5%
Open Punctuation 158
 
8.2%
Close Punctuation 158
 
8.2%
Decimal Number 33
 
1.7%
Other Symbol 26
 
1.3%
Space Separator 16
 
0.8%
Uppercase Letter 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 145
 
9.4%
스 97
 
6.3%
에 61
 
4.0%
이 50
 
3.3%
지 50
 
3.3%
앤 39
 
2.5%
아 37
 
2.4%
가 36
 
2.3%
리 35
 
2.3%
포 32
 
2.1%
Other values (194) 956
62.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
K 1
20.0%
G 1
20.0%
N 1
20.0%
C 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 19
57.6%
9 9
27.3%
2 4
 
12.1%
8 1
 
3.0%
Open Punctuation
ValueCountFrequency (%)
( 158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 158
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1564
80.9%
Common 365
 
18.9%
Latin 5
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 145
 
9.3%
스 97
 
6.2%
에 61
 
3.9%
이 50
 
3.2%
지 50
 
3.2%
앤 39
 
2.5%
아 37
 
2.4%
가 36
 
2.3%
리 35
 
2.2%
포 32
 
2.0%
Other values (195) 982
62.8%
Common
ValueCountFrequency (%)
( 158
43.3%
) 158
43.3%
1 19
 
5.2%
16
 
4.4%
9 9
 
2.5%
2 4
 
1.1%
8 1
 
0.3%
Latin
ValueCountFrequency (%)
A 1
20.0%
K 1
20.0%
G 1
20.0%
N 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1538
79.5%
ASCII 370
 
19.1%
None 26
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 158
42.7%
) 158
42.7%
1 19
 
5.1%
16
 
4.3%
9 9
 
2.4%
2 4
 
1.1%
A 1
 
0.3%
K 1
 
0.3%
8 1
 
0.3%
G 1
 
0.3%
Other values (2) 2
 
0.5%
Hangul
ValueCountFrequency (%)
주 145
 
9.4%
스 97
 
6.3%
에 61
 
4.0%
이 50
 
3.3%
지 50
 
3.3%
앤 39
 
2.5%
아 37
 
2.4%
가 36
 
2.3%
리 35
 
2.3%
포 32
 
2.1%
Other values (194) 956
62.2%
None
ValueCountFrequency (%)
㈜ 26
100.0%

세부종류
Categorical

Distinct5
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
냉동
121 
<NA>
36 
충전
36 
일반
33 
특정
 
5

Length

Max length4
Median length2
Mean length2.3116883
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
냉동 121
52.4%
<NA> 36
 
15.6%
충전 36
 
15.6%
일반 33
 
14.3%
특정 5
 
2.2%

Length

2023-12-12T13:58:27.761206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:58:27.937332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
냉동 121
52.4%
na 36
 
15.6%
충전 36
 
15.6%
일반 33
 
14.3%
특정 5
 
2.2%

사업소소재지
Text

Distinct133
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T13:58:28.235180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length23.268398
Min length17

Characters and Unicode

Total characters5375
Distinct characters145
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

Unique110 ?
Unique (%)47.6%

Sample

1st row경기도 김포시 구래동 6871-22
2nd row경기도 김포시 구래동 6871-22
3rd row경기도 김포시 구래동 6871-22
4th row경기도 김포시 구래동 6871-22
5th row경기도 김포시 구래동 6871-22
ValueCountFrequency (%)
김포시 233
19.5%
경기도 231
19.4%
고촌읍 51
 
4.3%
양촌읍 48
 
4.0%
대포산단로 25
 
2.1%
89 25
 
2.1%
대곶면 25
 
2.1%
구래동 24
 
2.0%
6871-22 24
 
2.0%
통진읍 20
 
1.7%
Other values (256) 486
40.8%
2023-12-12T13:58:28.720922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1044
19.4%
포 278
 
5.2%
기 247
 
4.6%
김 244
 
4.5%
도 235
 
4.4%
시 233
 
4.3%
경 231
 
4.3%
1 199
 
3.7%
로 157
 
2.9%
2 136
 
2.5%
Other values (135) 2371
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3136
58.3%
Space Separator 1044
 
19.4%
Decimal Number 981
 
18.3%
Dash Punctuation 93
 
1.7%
Other Punctuation 42
 
0.8%
Close Punctuation 37
 
0.7%
Open Punctuation 36
 
0.7%
Lowercase Letter 4
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 278
 
8.9%
기 247
 
7.9%
김 244
 
7.8%
도 235
 
7.5%
시 233
 
7.4%
경 231
 
7.4%
로 157
 
5.0%
읍 119
 
3.8%
촌 110
 
3.5%
대 67
 
2.1%
Other values (114) 1215
38.7%
Decimal Number
ValueCountFrequency (%)
1 199
20.3%
2 136
13.9%
7 111
11.3%
5 107
10.9%
8 105
10.7%
6 82
8.4%
3 77
 
7.8%
9 60
 
6.1%
0 53
 
5.4%
4 51
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
l 1
25.0%
i 1
25.0%
o 1
25.0%
t 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
1044
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3136
58.3%
Common 2233
41.5%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 278
 
8.9%
기 247
 
7.9%
김 244
 
7.8%
도 235
 
7.5%
시 233
 
7.4%
경 231
 
7.4%
로 157
 
5.0%
읍 119
 
3.8%
촌 110
 
3.5%
대 67
 
2.1%
Other values (114) 1215
38.7%
Common
ValueCountFrequency (%)
1044
46.8%
1 199
 
8.9%
2 136
 
6.1%
7 111
 
5.0%
5 107
 
4.8%
8 105
 
4.7%
- 93
 
4.2%
6 82
 
3.7%
3 77
 
3.4%
9 60
 
2.7%
Other values (5) 219
 
9.8%
Latin
ValueCountFrequency (%)
l 1
16.7%
i 1
16.7%
o 1
16.7%
t 1
16.7%
L 1
16.7%
B 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3136
58.3%
ASCII 2239
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1044
46.6%
1 199
 
8.9%
2 136
 
6.1%
7 111
 
5.0%
5 107
 
4.8%
8 105
 
4.7%
- 93
 
4.2%
6 82
 
3.7%
3 77
 
3.4%
9 60
 
2.7%
Other values (11) 225
 
10.0%
Hangul
ValueCountFrequency (%)
포 278
 
8.9%
기 247
 
7.9%
김 244
 
7.8%
도 235
 
7.5%
시 233
 
7.4%
경 231
 
7.4%
로 157
 
5.0%
읍 119
 
3.8%
촌 110
 
3.5%
대 67
 
2.1%
Other values (114) 1215
38.7%

허가일자
Date

Distinct130
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1986-05-02 00:00:00
Maximum2023-07-31 00:00:00
2023-12-12T13:58:29.198133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:58:29.430141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

취급가스정보
Text

Distinct125
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T13:58:29.724414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length322
Median length128
Mean length20.116883
Min length4

Characters and Unicode

Total characters4647
Distinct characters50
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)42.4%

Sample

1st row 기타 (74.25RT)
2nd row 기타 (63RT)
3rd row 기타 (74.25RT)
4th row 기타 (58RT)
5th row 기타 (58RT)
ValueCountFrequency (%)
기타 209
26.5%
산소 46
 
5.8%
37
 
4.7%
프레온 36
 
4.6%
0kg/㎠ 34
 
4.3%
490㎥ 29
 
3.7%
질소 29
 
3.7%
탄산가스 23
 
2.9%
아르곤 19
 
2.4%
58rt 13
 
1.6%
Other values (184) 314
39.8%
2023-12-12T13:58:30.123217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
804
17.3%
) 402
 
8.7%
( 402
 
8.7%
타 209
 
4.5%
기 209
 
4.5%
4 191
 
4.1%
. 187
 
4.0%
, 171
 
3.7%
0 151
 
3.2%
9 140
 
3.0%
Other values (40) 1781
38.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1109
23.9%
Other Letter 992
21.3%
Space Separator 804
17.3%
Other Punctuation 415
 
8.9%
Close Punctuation 402
 
8.7%
Open Punctuation 402
 
8.7%
Uppercase Letter 299
 
6.4%
Other Symbol 143
 
3.1%
Lowercase Letter 81
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
타 209
21.1%
기 209
21.1%
소 89
9.0%
톤 87
8.8%
산 69
 
7.0%
레 36
 
3.6%
프 36
 
3.6%
온 36
 
3.6%
질 29
 
2.9%
아 27
 
2.7%
Other values (18) 165
16.6%
Decimal Number
ValueCountFrequency (%)
4 191
17.2%
0 151
13.6%
9 140
12.6%
2 136
12.3%
5 111
10.0%
1 108
9.7%
8 80
7.2%
6 72
 
6.5%
7 63
 
5.7%
3 57
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 187
45.1%
, 171
41.2%
/ 57
 
13.7%
Uppercase Letter
ValueCountFrequency (%)
T 109
36.5%
R 109
36.5%
K 81
27.1%
Other Symbol
ValueCountFrequency (%)
㎥ 86
60.1%
㎠ 57
39.9%
Space Separator
ValueCountFrequency (%)
804
100.0%
Close Punctuation
ValueCountFrequency (%)
) 402
100.0%
Open Punctuation
ValueCountFrequency (%)
( 402
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3275
70.5%
Hangul 992
 
21.3%
Latin 380
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
타 209
21.1%
기 209
21.1%
소 89
9.0%
톤 87
8.8%
산 69
 
7.0%
레 36
 
3.6%
프 36
 
3.6%
온 36
 
3.6%
질 29
 
2.9%
아 27
 
2.7%
Other values (18) 165
16.6%
Common
ValueCountFrequency (%)
804
24.5%
) 402
12.3%
( 402
12.3%
4 191
 
5.8%
. 187
 
5.7%
, 171
 
5.2%
0 151
 
4.6%
9 140
 
4.3%
2 136
 
4.2%
5 111
 
3.4%
Other values (8) 580
17.7%
Latin
ValueCountFrequency (%)
T 109
28.7%
R 109
28.7%
K 81
21.3%
g 81
21.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3512
75.6%
Hangul 992
 
21.3%
CJK Compat 143
 
3.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
804
22.9%
) 402
11.4%
( 402
11.4%
4 191
 
5.4%
. 187
 
5.3%
, 171
 
4.9%
0 151
 
4.3%
9 140
 
4.0%
2 136
 
3.9%
5 111
 
3.2%
Other values (10) 817
23.3%
Hangul
ValueCountFrequency (%)
타 209
21.1%
기 209
21.1%
소 89
9.0%
톤 87
8.8%
산 69
 
7.0%
레 36
 
3.6%
프 36
 
3.6%
온 36
 
3.6%
질 29
 
2.9%
아 27
 
2.7%
Other values (18) 165
16.6%
CJK Compat
ValueCountFrequency (%)
㎥ 86
60.1%
㎠ 57
39.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-08-16
231 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-16
2nd row2023-08-16
3rd row2023-08-16
4th row2023-08-16
5th row2023-08-16

Common Values

ValueCountFrequency (%)
2023-08-16 231
100.0%

Length

2023-12-12T13:58:30.240233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:58:30.322973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-16 231
100.0%

Interactions

2023-12-12T13:58:26.089271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:58:30.376724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번세부종류
순번1.0000.576
세부종류0.5761.000
2023-12-12T13:58:30.468514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번세부종류
순번1.0000.365
세부종류0.3651.000

Missing values

2023-12-12T13:58:26.230742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:58:26.388862image/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

순번법인명(상호)세부종류사업소소재지허가일자취급가스정보데이터기준일자
01코리아신탁(주)냉동경기도 김포시 구래동 6871-222023-07-31기타 (74.25RT)2023-08-16
12코리아신탁(주)냉동경기도 김포시 구래동 6871-222023-07-31기타 (63RT)2023-08-16
23코리아신탁(주)냉동경기도 김포시 구래동 6871-222023-07-31기타 (74.25RT)2023-08-16
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45코리아신탁(주)냉동경기도 김포시 구래동 6871-222023-07-31기타 (58RT)2023-08-16
56코리아신탁(주)냉동경기도 김포시 구래동 6871-222023-07-31기타 (58RT)2023-08-16
67코리아신탁(주)냉동경기도 김포시 구래동 6871-222023-07-31기타 (74.25RT)2023-08-16
78코리아신탁(주)냉동경기도 김포시 구래동 6871-222023-07-31기타 (58RT)2023-08-16
89코리아신탁(주)냉동경기도 김포시 구래동 6871-222023-07-31기타 (58RT)2023-08-16
910코리아신탁(주)냉동경기도 김포시 구래동 6871-222023-07-31기타 (74.25RT)2023-08-16
순번법인명(상호)세부종류사업소소재지허가일자취급가스정보데이터기준일자
221222삼덕가스공업(주)충전경기도 김포시 사우동 336-11995-11-14()2023-08-16
222223일화산업가스일반경기도 김포시 대곶면 수남로22번길 1201995-08-31기타 ()2023-08-16
223224(주)남미인더스트리특정경기도 김포시 풍무동 32-21995-06-05프레온 (0Kg/㎠)2023-08-16
224225삼덕가스공업(주)일반경기도 김포시 사우동 336-11995-05-18()2023-08-16
225226김포향교재단냉동경기도 김포시 사우동 256-41994-11-03기타 (0Kg/㎠)2023-08-16
226227대광가스일반경기도 김포시 하성면 마근포리 206-71994-04-30기타 ()2023-08-16
227228(주)장터가족냉동경기도 김포시 풍무동 299-51992-08-26프레온 (0Kg/㎠)2023-08-16
228229대곶가스일반경기도 김포시 대곶면 송마로52번길 611989-06-30산소 (0Kg/㎠)2023-08-16
229230마송가스상사<NA>경기도 김포시 통진읍 마송리 61-151987-07-21수소 (0Kg/㎠), 산소 (0Kg/㎠), 아세틸렌 (0Kg/㎠), 아르곤 (0Kg/㎠), 탄산가스 (0Kg/㎠)2023-08-16
230231(주)현대가스텍 신진특수가스지점일반경기도 김포시 옹주물로 110 (감정동)1986-05-02기타 ()2023-08-16