Overview

Dataset statistics

Number of variables6
Number of observations168
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.2 KiB
Average record size in memory49.8 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description광주광역시 광산소방서 관내에 있는 가스 시설에 대한 현황입니다. 시설구분별 업체명, 소재지도로명주소 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/15052476/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 가스시설구분High correlation
가스시설구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-16 15:20:40.298596
Analysis finished2023-12-16 15:20:49.519404
Duration9.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct168
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.5
Minimum1
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-16T15:20:49.945313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.35
Q142.75
median84.5
Q3126.25
95-th percentile159.65
Maximum168
Range167
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation48.641546
Coefficient of variation (CV)0.5756396
Kurtosis-1.2
Mean84.5
Median Absolute Deviation (MAD)42
Skewness0
Sum14196
Variance2366
MonotonicityStrictly increasing
2023-12-16T15:20:50.846871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
117 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
Other values (158) 158
94.0%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%

가스시설구분
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
고압가스 냉동제조
51 
고압가스 저장소
23 
LPG충전사업
23 
LPG판매사업
20 
고압가스 제조
15 
Other values (4)
36 

Length

Max length9
Median length8
Mean length7.75
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고압가스 제조
2nd row고압가스 제조
3rd row고압가스 제조
4th row고압가스 제조
5th row고압가스 제조

Common Values

ValueCountFrequency (%)
고압가스 냉동제조 51
30.4%
고압가스 저장소 23
13.7%
LPG충전사업 23
13.7%
LPG판매사업 20
 
11.9%
고압가스 제조 15
 
8.9%
고압가스 판매 11
 
6.5%
특정설비 제조 10
 
6.0%
가스용품제조사업 8
 
4.8%
냉동기 제조 7
 
4.2%

Length

2023-12-16T15:20:51.680333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:20:52.364002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고압가스 100
35.1%
냉동제조 51
17.9%
제조 32
 
11.2%
저장소 23
 
8.1%
lpg충전사업 23
 
8.1%
lpg판매사업 20
 
7.0%
판매 11
 
3.9%
특정설비 10
 
3.5%
가스용품제조사업 8
 
2.8%
냉동기 7
 
2.5%

업체명
Text

Distinct131
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-16T15:20:53.839676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length6.8154762
Min length3

Characters and Unicode

Total characters1145
Distinct characters212
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

Unique105 ?
Unique (%)62.5%

Sample

1st row(합)호남고압가스
2nd row그린테크㈜
3rd row기아자동차
4th row대한공조㈜
5th row삼성전자㈜
ValueCountFrequency (%)
삼성전자㈜ 6
 
3.1%
오텍캐리어㈜ 4
 
2.1%
한국알프스㈜ 4
 
2.1%
광주공장 4
 
2.1%
금호타이어㈜ 3
 
1.6%
광주보훈병원 3
 
1.6%
한국가스웰㈜ 3
 
1.6%
신일가스㈜ 3
 
1.6%
합)호남고압가스 3
 
1.6%
㈜제일에너지 2
 
1.0%
Other values (134) 156
81.7%
2023-12-16T15:20:55.983222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 115
 
10.0%
스 49
 
4.3%
가 35
 
3.1%
이 28
 
2.4%
지 25
 
2.2%
24
 
2.1%
전 23
 
2.0%
주 20
 
1.7%
한 20
 
1.7%
광 20
 
1.7%
Other values (202) 786
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 940
82.1%
Other Symbol 115
 
10.0%
Uppercase Letter 31
 
2.7%
Space Separator 24
 
2.1%
Open Punctuation 14
 
1.2%
Close Punctuation 14
 
1.2%
Decimal Number 5
 
0.4%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 49
 
5.2%
가 35
 
3.7%
이 28
 
3.0%
지 25
 
2.7%
전 23
 
2.4%
주 20
 
2.1%
한 20
 
2.1%
광 20
 
2.1%
일 17
 
1.8%
에 17
 
1.8%
Other values (187) 686
73.0%
Uppercase Letter
ValueCountFrequency (%)
G 9
29.0%
P 9
29.0%
L 9
29.0%
C 1
 
3.2%
I 1
 
3.2%
B 1
 
3.2%
F 1
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 2
40.0%
Other Symbol
ValueCountFrequency (%)
㈜ 115
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1055
92.1%
Common 59
 
5.2%
Latin 31
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 115
 
10.9%
스 49
 
4.6%
가 35
 
3.3%
이 28
 
2.7%
지 25
 
2.4%
전 23
 
2.2%
주 20
 
1.9%
한 20
 
1.9%
광 20
 
1.9%
일 17
 
1.6%
Other values (188) 703
66.6%
Common
ValueCountFrequency (%)
24
40.7%
( 14
23.7%
) 14
23.7%
1 3
 
5.1%
2 2
 
3.4%
& 1
 
1.7%
- 1
 
1.7%
Latin
ValueCountFrequency (%)
G 9
29.0%
P 9
29.0%
L 9
29.0%
C 1
 
3.2%
I 1
 
3.2%
B 1
 
3.2%
F 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 940
82.1%
None 115
 
10.0%
ASCII 90
 
7.9%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 115
100.0%
Hangul
ValueCountFrequency (%)
스 49
 
5.2%
가 35
 
3.7%
이 28
 
3.0%
지 25
 
2.7%
전 23
 
2.4%
주 20
 
2.1%
한 20
 
2.1%
광 20
 
2.1%
일 17
 
1.8%
에 17
 
1.8%
Other values (187) 686
73.0%
ASCII
ValueCountFrequency (%)
24
26.7%
( 14
15.6%
) 14
15.6%
G 9
 
10.0%
P 9
 
10.0%
L 9
 
10.0%
1 3
 
3.3%
2 2
 
2.2%
C 1
 
1.1%
I 1
 
1.1%
Other values (4) 4
 
4.4%

대표자
Text

Distinct126
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-16T15:20:57.503688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.6369048
Min length2

Characters and Unicode

Total characters611
Distinct characters141
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

Unique98 ?
Unique (%)58.3%

Sample

1st row이은희
2nd row장영호
3rd row박한우, 최준영
4th row김태규
5th row한종희경계현
ValueCountFrequency (%)
한종희경계현 6
 
3.3%
강성희 4
 
2.2%
강동완 4
 
2.2%
이은희 3
 
1.7%
박혁훈 3
 
1.7%
서흥남 3
 
1.7%
이상천 3
 
1.7%
김동모 3
 
1.7%
유봉래 3
 
1.7%
김영자 2
 
1.1%
Other values (126) 147
81.2%
2023-12-16T15:21:00.256802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 38
 
6.2%
이 31
 
5.1%
희 22
 
3.6%
박 14
 
2.3%
13
 
2.1%
정 13
 
2.1%
한 12
 
2.0%
강 12
 
2.0%
, 12
 
2.0%
영 12
 
2.0%
Other values (131) 432
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 583
95.4%
Space Separator 13
 
2.1%
Other Punctuation 12
 
2.0%
Decimal Number 1
 
0.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 38
 
6.5%
이 31
 
5.3%
희 22
 
3.8%
박 14
 
2.4%
정 13
 
2.2%
한 12
 
2.1%
강 12
 
2.1%
영 12
 
2.1%
석 11
 
1.9%
호 10
 
1.7%
Other values (126) 408
70.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 583
95.4%
Common 28
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 38
 
6.5%
이 31
 
5.3%
희 22
 
3.8%
박 14
 
2.4%
정 13
 
2.2%
한 12
 
2.1%
강 12
 
2.1%
영 12
 
2.1%
석 11
 
1.9%
호 10
 
1.7%
Other values (126) 408
70.0%
Common
ValueCountFrequency (%)
13
46.4%
, 12
42.9%
1 1
 
3.6%
( 1
 
3.6%
) 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 583
95.4%
ASCII 28
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 38
 
6.5%
이 31
 
5.3%
희 22
 
3.8%
박 14
 
2.4%
정 13
 
2.2%
한 12
 
2.1%
강 12
 
2.1%
영 12
 
2.1%
석 11
 
1.9%
호 10
 
1.7%
Other values (126) 408
70.0%
ASCII
ValueCountFrequency (%)
13
46.4%
, 12
42.9%
1 1
 
3.6%
( 1
 
3.6%
) 1
 
3.6%

소재지도로명주소
Text

Distinct152
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-16T15:21:01.583040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length23.214286
Min length11

Characters and Unicode

Total characters3900
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

Unique138 ?
Unique (%)82.1%

Sample

1st row광주 광산구 하남산단5번로 101 (장덕동)
2nd row광산구 평동산단로3번로 169
3rd row광주 광산구 하남산단8번로 33
4th row광주 광산구 평동산단로 62번길 25 (월전동)
5th row광산구 하남산단6번로 100
ValueCountFrequency (%)
광산구 167
21.2%
광주광역시 116
 
14.8%
광주 43
 
5.5%
장덕동 23
 
2.9%
월전동 15
 
1.9%
하남산단5번로 11
 
1.4%
체암로 11
 
1.4%
안청동 11
 
1.4%
오선동 10
 
1.3%
양동 9
 
1.1%
Other values (219) 370
47.1%
2023-12-16T15:21:03.884528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
638
16.4%
광 445
 
11.4%
산 242
 
6.2%
동 190
 
4.9%
구 168
 
4.3%
주 159
 
4.1%
로 140
 
3.6%
( 132
 
3.4%
1 132
 
3.4%
) 132
 
3.4%
Other values (102) 1522
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2332
59.8%
Space Separator 638
 
16.4%
Decimal Number 628
 
16.1%
Open Punctuation 132
 
3.4%
Close Punctuation 132
 
3.4%
Dash Punctuation 32
 
0.8%
Other Punctuation 5
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 445
19.1%
산 242
 
10.4%
동 190
 
8.1%
구 168
 
7.2%
주 159
 
6.8%
로 140
 
6.0%
역 116
 
5.0%
시 116
 
5.0%
번 66
 
2.8%
단 62
 
2.7%
Other values (86) 628
26.9%
Decimal Number
ValueCountFrequency (%)
1 132
21.0%
2 69
11.0%
3 67
10.7%
5 64
10.2%
6 61
9.7%
4 51
 
8.1%
0 51
 
8.1%
9 47
 
7.5%
8 43
 
6.8%
7 43
 
6.8%
Space Separator
ValueCountFrequency (%)
638
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2332
59.8%
Common 1567
40.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 445
19.1%
산 242
 
10.4%
동 190
 
8.1%
구 168
 
7.2%
주 159
 
6.8%
로 140
 
6.0%
역 116
 
5.0%
시 116
 
5.0%
번 66
 
2.8%
단 62
 
2.7%
Other values (86) 628
26.9%
Common
ValueCountFrequency (%)
638
40.7%
( 132
 
8.4%
1 132
 
8.4%
) 132
 
8.4%
2 69
 
4.4%
3 67
 
4.3%
5 64
 
4.1%
6 61
 
3.9%
4 51
 
3.3%
0 51
 
3.3%
Other values (5) 170
 
10.8%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2332
59.8%
ASCII 1568
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
638
40.7%
( 132
 
8.4%
1 132
 
8.4%
) 132
 
8.4%
2 69
 
4.4%
3 67
 
4.3%
5 64
 
4.1%
6 61
 
3.9%
4 51
 
3.3%
0 51
 
3.3%
Other values (6) 171
 
10.9%
Hangul
ValueCountFrequency (%)
광 445
19.1%
산 242
 
10.4%
동 190
 
8.1%
구 168
 
7.2%
주 159
 
6.8%
로 140
 
6.0%
역 116
 
5.0%
시 116
 
5.0%
번 66
 
2.8%
단 62
 
2.7%
Other values (86) 628
26.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-10-19
168 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-19
2nd row2023-10-19
3rd row2023-10-19
4th row2023-10-19
5th row2023-10-19

Common Values

ValueCountFrequency (%)
2023-10-19 168
100.0%

Length

2023-12-16T15:21:04.817009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:21:05.650593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-19 168
100.0%

Interactions

2023-12-16T15:20:47.728272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-16T15:21:05.917632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번가스시설구분
연번1.0000.920
가스시설구분0.9201.000
2023-12-16T15:21:06.635783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번가스시설구분
연번1.0000.744
가스시설구분0.7441.000

Missing values

2023-12-16T15:20:48.403712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:20:49.265780image/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

연번가스시설구분업체명대표자소재지도로명주소데이터기준일자
01고압가스 제조(합)호남고압가스이은희광주 광산구 하남산단5번로 101 (장덕동)2023-10-19
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