Overview

Dataset statistics

Number of variables6
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory52.9 B

Variable types

Categorical1
Text2
Numeric2
DateTime1

Dataset

Description제주특별자치도 서귀포시 관내 가스판매업 현황에 관한 데이터로 가스판매업체의 상호, 주소, 위도, 경도 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/15053148/fileData.do

Alerts

사업종류 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:59:01.885871
Analysis finished2023-12-12 13:59:02.694737
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업종류
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
판매사업
45 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
판매사업 45
100.0%

Length

2023-12-12T22:59:02.768803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:59:02.857541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
판매사업 45
100.0%

상호
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-12T22:59:03.059721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.3555556
Min length4

Characters and Unicode

Total characters241
Distinct characters89
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

Unique45 ?
Unique (%)100.0%

Sample

1st row안전가스
2nd row가스친구
3rd row거북위미가스
4th row365가스
5th row산남가스
ValueCountFrequency (%)
안전가스 1
 
2.1%
가스나라 1
 
2.1%
산방가스 1
 
2.1%
안덕가스 1
 
2.1%
신서귀가스판매점 1
 
2.1%
동천에너지 1
 
2.1%
동천가스 1
 
2.1%
영실가스 1
 
2.1%
정우에너지 1
 
2.1%
중앙가스 1
 
2.1%
Other values (37) 37
78.7%
2023-12-12T22:59:03.683471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 36
 
14.9%
스 36
 
14.9%
지 11
 
4.6%
너 11
 
4.6%
에 11
 
4.6%
주 5
 
2.1%
제 4
 
1.7%
한 4
 
1.7%
화 4
 
1.7%
중 4
 
1.7%
Other values (79) 115
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 230
95.4%
Decimal Number 4
 
1.7%
Space Separator 2
 
0.8%
Close Punctuation 2
 
0.8%
Open Punctuation 2
 
0.8%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 36
 
15.7%
스 36
 
15.7%
지 11
 
4.8%
너 11
 
4.8%
에 11
 
4.8%
주 5
 
2.2%
제 4
 
1.7%
한 4
 
1.7%
화 4
 
1.7%
중 4
 
1.7%
Other values (71) 104
45.2%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
5 1
25.0%
6 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 231
95.9%
Common 10
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 36
 
15.6%
스 36
 
15.6%
지 11
 
4.8%
너 11
 
4.8%
에 11
 
4.8%
주 5
 
2.2%
제 4
 
1.7%
한 4
 
1.7%
화 4
 
1.7%
중 4
 
1.7%
Other values (72) 105
45.5%
Common
ValueCountFrequency (%)
2
20.0%
) 2
20.0%
( 2
20.0%
1 1
10.0%
5 1
10.0%
6 1
10.0%
3 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 230
95.4%
ASCII 10
 
4.1%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 36
 
15.7%
스 36
 
15.7%
지 11
 
4.8%
너 11
 
4.8%
에 11
 
4.8%
주 5
 
2.2%
제 4
 
1.7%
한 4
 
1.7%
화 4
 
1.7%
중 4
 
1.7%
Other values (71) 104
45.2%
ASCII
ValueCountFrequency (%)
2
20.0%
) 2
20.0%
( 2
20.0%
1 1
10.0%
5 1
10.0%
6 1
10.0%
3 1
10.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

사업소주소
Text

Distinct38
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-12T22:59:03.914926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length24.177778
Min length19

Characters and Unicode

Total characters1088
Distinct characters83
Distinct categories4 ?
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 (%)75.6%

Sample

1st row제주특별자치도 서귀포시 남원읍 남원월산로 87
2nd row제주특별자치도 서귀포시 남원읍 남원체육관로 311
3rd row제주특별자치도 서귀포시 남원읍 남한로 168
4th row제주특별자치도 서귀포시 남원읍 중산간동로 6978
5th row제주특별자치도 서귀포시 남원읍 태위로723번길 30-21
ValueCountFrequency (%)
제주특별자치도 45
22.3%
서귀포시 45
22.3%
중산간동로 6
 
3.0%
일주서로 6
 
3.0%
95 6
 
3.0%
대정읍 6
 
3.0%
남원읍 5
 
2.5%
성산읍 5
 
2.5%
안덕면 3
 
1.5%
표선면 3
 
1.5%
Other values (65) 72
35.6%
2023-12-12T22:59:04.276053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
 
15.2%
서 60
 
5.5%
주 55
 
5.1%
도 47
 
4.3%
시 46
 
4.2%
로 45
 
4.1%
포 45
 
4.1%
귀 45
 
4.1%
제 45
 
4.1%
치 45
 
4.1%
Other values (73) 490
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 765
70.3%
Space Separator 165
 
15.2%
Decimal Number 153
 
14.1%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 60
 
7.8%
주 55
 
7.2%
도 47
 
6.1%
시 46
 
6.0%
로 45
 
5.9%
포 45
 
5.9%
귀 45
 
5.9%
제 45
 
5.9%
치 45
 
5.9%
자 45
 
5.9%
Other values (61) 287
37.5%
Decimal Number
ValueCountFrequency (%)
1 30
19.6%
5 20
13.1%
9 17
11.1%
8 16
10.5%
3 14
9.2%
0 14
9.2%
2 12
 
7.8%
7 11
 
7.2%
4 11
 
7.2%
6 8
 
5.2%
Space Separator
ValueCountFrequency (%)
165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 765
70.3%
Common 323
29.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 60
 
7.8%
주 55
 
7.2%
도 47
 
6.1%
시 46
 
6.0%
로 45
 
5.9%
포 45
 
5.9%
귀 45
 
5.9%
제 45
 
5.9%
치 45
 
5.9%
자 45
 
5.9%
Other values (61) 287
37.5%
Common
ValueCountFrequency (%)
165
51.1%
1 30
 
9.3%
5 20
 
6.2%
9 17
 
5.3%
8 16
 
5.0%
3 14
 
4.3%
0 14
 
4.3%
2 12
 
3.7%
7 11
 
3.4%
4 11
 
3.4%
Other values (2) 13
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 765
70.3%
ASCII 323
29.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
51.1%
1 30
 
9.3%
5 20
 
6.2%
9 17
 
5.3%
8 16
 
5.0%
3 14
 
4.3%
0 14
 
4.3%
2 12
 
3.7%
7 11
 
3.4%
4 11
 
3.4%
Other values (2) 13
 
4.0%
Hangul
ValueCountFrequency (%)
서 60
 
7.8%
주 55
 
7.2%
도 47
 
6.1%
시 46
 
6.0%
로 45
 
5.9%
포 45
 
5.9%
귀 45
 
5.9%
제 45
 
5.9%
치 45
 
5.9%
자 45
 
5.9%
Other values (61) 287
37.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.287563
Minimum33.223023
Maximum33.465788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-12T22:59:04.397995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.223023
5-th percentile33.233213
Q133.252485
median33.26205
Q333.289804
95-th percentile33.437254
Maximum33.465788
Range0.2427654
Interquartile range (IQR)0.0373193

Descriptive statistics

Standard deviation0.063323105
Coefficient of variation (CV)0.0019023052
Kurtosis2.2346203
Mean33.287563
Median Absolute Deviation (MAD)0.0125972
Skewness1.8299353
Sum1497.9403
Variance0.0040098156
MonotonicityNot monotonic
2023-12-12T22:59:04.536430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
33.2494527 5
 
11.1%
33.2604169 2
 
4.4%
33.2524849 2
 
4.4%
33.2919301 1
 
2.2%
33.2638787 1
 
2.2%
33.2324691 1
 
2.2%
33.2560326 1
 
2.2%
33.2361885 1
 
2.2%
33.2597432 1
 
2.2%
33.2667649 1
 
2.2%
Other values (29) 29
64.4%
ValueCountFrequency (%)
33.2230228 1
 
2.2%
33.2243922 1
 
2.2%
33.2324691 1
 
2.2%
33.2361885 1
 
2.2%
33.2480605 1
 
2.2%
33.2494527 5
11.1%
33.2524849 2
 
4.4%
33.2560326 1
 
2.2%
33.2574553 1
 
2.2%
33.2592928 1
 
2.2%
ValueCountFrequency (%)
33.4657882 1
2.2%
33.4539366 1
2.2%
33.4379371 1
2.2%
33.4345192 1
2.2%
33.4276701 1
2.2%
33.3970605 1
2.2%
33.3338083 1
2.2%
33.332417 1
2.2%
33.2939132 1
2.2%
33.2925375 1
2.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.55374
Minimum126.20276
Maximum126.91121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-12T22:59:04.655987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.20276
5-th percentile126.22396
Q1126.42674
median126.54684
Q3126.70762
95-th percentile126.90218
Maximum126.91121
Range0.7084528
Interquartile range (IQR)0.2808787

Descriptive statistics

Standard deviation0.2019174
Coefficient of variation (CV)0.0015955071
Kurtosis-0.64073344
Mean126.55374
Median Absolute Deviation (MAD)0.1333652
Skewness0.057874287
Sum5694.9185
Variance0.040770635
MonotonicityNot monotonic
2023-12-12T22:59:04.797817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
126.4975607 5
 
11.1%
126.5460018 2
 
4.4%
126.2239643 2
 
4.4%
126.7076191 1
 
2.2%
126.5466974 1
 
2.2%
126.3006486 1
 
2.2%
126.3475721 1
 
2.2%
126.5047523 1
 
2.2%
126.4267404 1
 
2.2%
126.5771394 1
 
2.2%
Other values (29) 29
64.4%
ValueCountFrequency (%)
126.2027576 1
2.2%
126.2129029 1
2.2%
126.2239643 2
4.4%
126.2637045 1
2.2%
126.2661149 1
2.2%
126.3006486 1
2.2%
126.3044973 1
2.2%
126.3475721 1
2.2%
126.3831083 1
2.2%
126.4134758 1
2.2%
ValueCountFrequency (%)
126.9112104 1
2.2%
126.9108167 1
2.2%
126.9076646 1
2.2%
126.8802169 1
2.2%
126.8710564 1
2.2%
126.829025 1
2.2%
126.8141806 1
2.2%
126.8022984 1
2.2%
126.7230496 1
2.2%
126.7185108 1
2.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2023-10-06 00:00:00
Maximum2023-10-06 00:00:00
2023-12-12T22:59:04.918532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:05.018965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:59:02.293412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:02.118705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:02.387530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:59:02.196091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:59:05.092218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호사업소주소위도경도
상호1.0001.0001.0001.000
사업소주소1.0001.0001.0001.000
위도1.0001.0001.0000.818
경도1.0001.0000.8181.000
2023-12-12T22:59:05.189111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.824
경도0.8241.000

Missing values

2023-12-12T22:59:02.524145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:59:02.648823image/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

사업종류상호사업소주소위도경도데이터기준일자
0판매사업안전가스제주특별자치도 서귀포시 남원읍 남원월산로 8733.29193126.7076192023-10-06
1판매사업가스친구제주특별자치도 서귀포시 남원읍 남원체육관로 31133.280817126.7185112023-10-06
2판매사업거북위미가스제주특별자치도 서귀포시 남원읍 남한로 16833.292538126.7107752023-10-06
3판매사업365가스제주특별자치도 서귀포시 남원읍 중산간동로 697833.28698126.6454712023-10-06
4판매사업산남가스제주특별자치도 서귀포시 남원읍 태위로723번길 30-2133.283916126.723052023-10-06
5판매사업무릉가스제주특별자치도 서귀포시 대정읍 무릉중앙로11번길 1933.270662126.2027582023-10-06
6판매사업정우가스제주특별자치도 서귀포시 대정읍 상모로 23533.224392126.2637052023-10-06
7판매사업가나종합가스제주특별자치도 서귀포시 대정읍 송악관광로 11733.223023126.2661152023-10-06
8판매사업㈜가스뱅크연합에너지제주특별자치도 서귀포시 대정읍 일주서로3000번길 6533.252485126.2239642023-10-06
9판매사업한아름가스제주특별자치도 서귀포시 대정읍 일주서로3000번길 6533.252485126.2239642023-10-06
사업종류상호사업소주소위도경도데이터기준일자
35판매사업엄마가스상사제주특별자치도 서귀포시 중산간동로 8140-533.263707126.5468412023-10-06
36판매사업하나에너지제주특별자치도 서귀포시 중산간동로 8140-733.263879126.5466972023-10-06
37판매사업제주 형제에너지제주특별자치도 서귀포시 중산간서로 88-333.262001126.5006142023-10-06
38판매사업두산가스제주특별자치도 서귀포시 토평공단로 14133.293913126.5820472023-10-06
39판매사업제주종합가스(주)제주특별자치도 서귀포시 토평공단로115번길 4733.289804126.5798242023-10-06
40판매사업은혜가스제주특별자치도 서귀포시 표선면 가시로 8933.333808126.8141812023-10-06
41판매사업번영가스제주특별자치도 서귀포시 표선면 서성일로 5933.397061126.8022982023-10-06
42판매사업효성가스제주특별자치도 서귀포시 표선면 표선중앙로 233.332417126.8290252023-10-06
43판매사업오케이가스상사제주특별자치도 서귀포시 효돈순환로 311-733.260081126.6125262023-10-06
44판매사업넥스트에너지제주특별자치도 서귀포시 중산간동로 785233.266765126.5771442023-10-06