Overview

Dataset statistics

Number of variables7
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory62.0 B

Variable types

Categorical2
Text3
Numeric2

Dataset

Description제주특별자치도 서귀포시 관내 방문판매업체 현황에 관한 데이터로 상호, 취급품목, 주소, 위도, 경도 등 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/15056130/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
법인구분 is highly overall correlated with 경도High correlation
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:05:54.251223
Analysis finished2023-12-12 11:05:55.607443
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법인구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
개인
23 
법인
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row법인
4th row개인
5th row법인

Common Values

ValueCountFrequency (%)
개인 23
69.7%
법인 10
30.3%

Length

2023-12-12T20:05:55.718202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:05:55.870564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 23
69.7%
법인 10
30.3%

상호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T20:05:56.148564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length8.8787879
Min length2

Characters and Unicode

Total characters293
Distinct characters119
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row현대서귀중앙 판매대리점
2nd row현대제주성산 판매대리점
3rd row㈜바이오밸류
4th row가온모바일
5th row㈜삼화통신
ValueCountFrequency (%)
협동조합 5
 
10.0%
판매대리점 2
 
4.0%
서귀포대리점 2
 
4.0%
스토리서귀포중앙점 1
 
2.0%
중부지사 1
 
2.0%
마임광장지사 1
 
2.0%
서귀포마임 1
 
2.0%
대천지사 1
 
2.0%
인셀덤 1
 
2.0%
한라 1
 
2.0%
Other values (34) 34
68.0%
2023-12-12T20:05:56.749057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
5.8%
서 13
 
4.4%
귀 11
 
3.8%
포 11
 
3.8%
대 10
 
3.4%
업 10
 
3.4%
리 8
 
2.7%
점 8
 
2.7%
협 7
 
2.4%
조 7
 
2.4%
Other values (109) 191
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 266
90.8%
Space Separator 17
 
5.8%
Uppercase Letter 6
 
2.0%
Other Symbol 2
 
0.7%
Other Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 13
 
4.9%
귀 11
 
4.1%
포 11
 
4.1%
대 10
 
3.8%
업 10
 
3.8%
리 8
 
3.0%
점 8
 
3.0%
협 7
 
2.6%
조 7
 
2.6%
합 7
 
2.6%
Other values (101) 174
65.4%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
D 2
33.3%
H 1
16.7%
C 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 268
91.5%
Common 19
 
6.5%
Latin 6
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 13
 
4.9%
귀 11
 
4.1%
포 11
 
4.1%
대 10
 
3.7%
업 10
 
3.7%
리 8
 
3.0%
점 8
 
3.0%
협 7
 
2.6%
조 7
 
2.6%
합 7
 
2.6%
Other values (102) 176
65.7%
Latin
ValueCountFrequency (%)
S 2
33.3%
D 2
33.3%
H 1
16.7%
C 1
16.7%
Common
ValueCountFrequency (%)
17
89.5%
& 1
 
5.3%
. 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 266
90.8%
ASCII 25
 
8.5%
None 2
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
68.0%
S 2
 
8.0%
D 2
 
8.0%
H 1
 
4.0%
& 1
 
4.0%
C 1
 
4.0%
. 1
 
4.0%
Hangul
ValueCountFrequency (%)
서 13
 
4.9%
귀 11
 
4.1%
포 11
 
4.1%
대 10
 
3.8%
업 10
 
3.8%
리 8
 
3.0%
점 8
 
3.0%
협 7
 
2.6%
조 7
 
2.6%
합 7
 
2.6%
Other values (101) 174
65.4%
None
ValueCountFrequency (%)
㈜ 2
100.0%

주소
Text

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T20:05:57.098607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length22.818182
Min length18

Characters and Unicode

Total characters753
Distinct characters65
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

Unique29 ?
Unique (%)87.9%

Sample

1st row제주특별자치도 서귀포시 일주동로 8475
2nd row제주특별자치도 서귀포시 성산읍 일주동로 4276
3rd row제주특별자치도 서귀포시 안덕면 신화역사로685번길 14-13
4th row제주특별자치도 서귀포시 중앙로 42번길 7
5th row제주특별자치도 서귀포시 중앙로 80
ValueCountFrequency (%)
제주특별자치도 33
23.4%
서귀포시 33
23.4%
일주동로 6
 
4.3%
중앙로 4
 
2.8%
대정읍 3
 
2.1%
중산간동로 3
 
2.1%
안덕면 2
 
1.4%
932 2
 
1.4%
이어도로 2
 
1.4%
성산읍 2
 
1.4%
Other values (50) 51
36.2%
2023-12-12T20:05:57.684034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
14.3%
주 39
 
5.2%
제 35
 
4.6%
서 35
 
4.6%
도 35
 
4.6%
포 34
 
4.5%
로 33
 
4.4%
시 33
 
4.4%
귀 33
 
4.4%
치 33
 
4.4%
Other values (55) 335
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 527
70.0%
Decimal Number 113
 
15.0%
Space Separator 108
 
14.3%
Dash Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 39
 
7.4%
제 35
 
6.6%
서 35
 
6.6%
도 35
 
6.6%
포 34
 
6.5%
로 33
 
6.3%
시 33
 
6.3%
귀 33
 
6.3%
치 33
 
6.3%
자 33
 
6.3%
Other values (43) 184
34.9%
Decimal Number
ValueCountFrequency (%)
2 23
20.4%
8 17
15.0%
1 12
10.6%
4 11
9.7%
7 11
9.7%
3 11
9.7%
9 9
 
8.0%
5 9
 
8.0%
0 6
 
5.3%
6 4
 
3.5%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 527
70.0%
Common 226
30.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 39
 
7.4%
제 35
 
6.6%
서 35
 
6.6%
도 35
 
6.6%
포 34
 
6.5%
로 33
 
6.3%
시 33
 
6.3%
귀 33
 
6.3%
치 33
 
6.3%
자 33
 
6.3%
Other values (43) 184
34.9%
Common
ValueCountFrequency (%)
108
47.8%
2 23
 
10.2%
8 17
 
7.5%
1 12
 
5.3%
4 11
 
4.9%
7 11
 
4.9%
3 11
 
4.9%
9 9
 
4.0%
5 9
 
4.0%
0 6
 
2.7%
Other values (2) 9
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 527
70.0%
ASCII 226
30.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
47.8%
2 23
 
10.2%
8 17
 
7.5%
1 12
 
5.3%
4 11
 
4.9%
7 11
 
4.9%
3 11
 
4.9%
9 9
 
4.0%
5 9
 
4.0%
0 6
 
2.7%
Other values (2) 9
 
4.0%
Hangul
ValueCountFrequency (%)
주 39
 
7.4%
제 35
 
6.6%
서 35
 
6.6%
도 35
 
6.6%
포 34
 
6.5%
로 33
 
6.3%
시 33
 
6.3%
귀 33
 
6.3%
치 33
 
6.3%
자 33
 
6.3%
Other values (43) 184
34.9%

취급품목
Text

Distinct22
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T20:05:58.442535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.0606061
Min length2

Characters and Unicode

Total characters233
Distinct characters45
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)51.5%

Sample

1st row자동차+자동차용품
2nd row자동차+자동차용품
3rd row건강식품
4th row통신기기
5th row통신기기
ValueCountFrequency (%)
기타(금융 6
15.4%
등 5
12.8%
통신기기 4
 
10.3%
건강식품 3
 
7.7%
자동차+자동차용품 2
 
5.1%
화장품+건강기능식품 2
 
5.1%
화장품 2
 
5.1%
화장품+통신기기 1
 
2.6%
학습지 1
 
2.6%
음료(녹즙 1
 
2.6%
Other values (12) 12
30.8%
2023-12-12T20:05:58.881967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 27
 
11.6%
기 22
 
9.4%
+ 18
 
7.7%
장 9
 
3.9%
식 9
 
3.9%
강 9
 
3.9%
건 9
 
3.9%
( 8
 
3.4%
화 8
 
3.4%
) 8
 
3.4%
Other values (35) 106
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193
82.8%
Math Symbol 18
 
7.7%
Open Punctuation 8
 
3.4%
Close Punctuation 8
 
3.4%
Space Separator 6
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 27
 
14.0%
기 22
 
11.4%
장 9
 
4.7%
식 9
 
4.7%
강 9
 
4.7%
건 9
 
4.7%
화 8
 
4.1%
용 7
 
3.6%
융 7
 
3.6%
금 7
 
3.6%
Other values (31) 79
40.9%
Math Symbol
ValueCountFrequency (%)
+ 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193
82.8%
Common 40
 
17.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 27
 
14.0%
기 22
 
11.4%
장 9
 
4.7%
식 9
 
4.7%
강 9
 
4.7%
건 9
 
4.7%
화 8
 
4.1%
용 7
 
3.6%
융 7
 
3.6%
금 7
 
3.6%
Other values (31) 79
40.9%
Common
ValueCountFrequency (%)
+ 18
45.0%
( 8
20.0%
) 8
20.0%
6
 
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193
82.8%
ASCII 40
 
17.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 27
 
14.0%
기 22
 
11.4%
장 9
 
4.7%
식 9
 
4.7%
강 9
 
4.7%
건 9
 
4.7%
화 8
 
4.1%
용 7
 
3.6%
융 7
 
3.6%
금 7
 
3.6%
Other values (31) 79
40.9%
ASCII
ValueCountFrequency (%)
+ 18
45.0%
( 8
20.0%
) 8
20.0%
6
 
15.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.267024
Minimum33.222909
Maximum33.44676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T20:05:59.070603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.222909
5-th percentile33.233198
Q133.249238
median33.252209
Q333.262732
95-th percentile33.373369
Maximum33.44676
Range0.22385094
Interquartile range (IQR)0.01349396

Descriptive statistics

Standard deviation0.050096316
Coefficient of variation (CV)0.0015058851
Kurtosis9.2739303
Mean33.267024
Median Absolute Deviation (MAD)0.00395973
Skewness3.0631906
Sum1097.8118
Variance0.0025096408
MonotonicityNot monotonic
2023-12-12T20:05:59.256916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
33.23802561 2
 
6.1%
33.25274331 2
 
6.1%
33.25616829 1
 
3.0%
33.44675952 1
 
3.0%
33.26439309 1
 
3.0%
33.25305386 1
 
3.0%
33.24923843 1
 
3.0%
33.22595658 1
 
3.0%
33.24971063 1
 
3.0%
33.22290858 1
 
3.0%
Other values (21) 21
63.6%
ValueCountFrequency (%)
33.22290858 1
3.0%
33.22595658 1
3.0%
33.23802561 2
6.1%
33.24646108 1
3.0%
33.24679861 1
3.0%
33.24866095 1
3.0%
33.2488298 1
3.0%
33.24923843 1
3.0%
33.24957505 1
3.0%
33.24971063 1
3.0%
ValueCountFrequency (%)
33.44675952 1
3.0%
33.44625413 1
3.0%
33.3247788 1
3.0%
33.31434898 1
3.0%
33.26583477 1
3.0%
33.26573208 1
3.0%
33.26548089 1
3.0%
33.26439309 1
3.0%
33.26273239 1
3.0%
33.25675574 1
3.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.54037
Minimum126.25351
Maximum126.91237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-12T20:05:59.417869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.25351
5-th percentile126.27112
Q1126.50824
median126.56178
Q3126.571
95-th percentile126.86374
Maximum126.91237
Range0.6588579
Interquartile range (IQR)0.0627641

Descriptive statistics

Standard deviation0.15022243
Coefficient of variation (CV)0.0011871502
Kurtosis1.6067259
Mean126.54037
Median Absolute Deviation (MAD)0.0149447
Skewness0.4629543
Sum4175.8321
Variance0.022566778
MonotonicityNot monotonic
2023-12-12T20:05:59.594163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
126.5140666 2
 
6.1%
126.5568529 2
 
6.1%
126.5825624 1
 
3.0%
126.9123668 1
 
3.0%
126.5474228 1
 
3.0%
126.5710038 1
 
3.0%
126.5650865 1
 
3.0%
126.2535089 1
 
3.0%
126.5617761 1
 
3.0%
126.2587265 1
 
3.0%
Other values (21) 21
63.6%
ValueCountFrequency (%)
126.2535089 1
3.0%
126.2587265 1
3.0%
126.2793779 1
3.0%
126.3351893 1
3.0%
126.3615194 1
3.0%
126.4260574 1
3.0%
126.4286419 1
3.0%
126.4611928 1
3.0%
126.5082397 1
3.0%
126.5140666 2
6.1%
ValueCountFrequency (%)
126.9123668 1
3.0%
126.9115609 1
3.0%
126.8318677 1
3.0%
126.6370245 1
3.0%
126.5825624 1
3.0%
126.5767208 1
3.0%
126.5766507 1
3.0%
126.5738751 1
3.0%
126.5710038 1
3.0%
126.5699237 1
3.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-10-12
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-12
2nd row2023-10-12
3rd row2023-10-12
4th row2023-10-12
5th row2023-10-12

Common Values

ValueCountFrequency (%)
2023-10-12 33
100.0%

Length

2023-12-12T20:05:59.854200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:06:00.001332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-12 33
100.0%

Interactions

2023-12-12T20:05:55.003903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:05:54.717258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:05:55.148353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:05:54.841647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:06:00.109374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인구분상호주소취급품목위도경도
법인구분1.0001.0001.0000.7800.5210.734
상호1.0001.0001.0001.0001.0001.000
주소1.0001.0001.0000.9931.0001.000
취급품목0.7801.0000.9931.0000.0000.000
위도0.5211.0001.0000.0001.0000.983
경도0.7341.0001.0000.0000.9831.000
2023-12-12T20:06:00.265260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도법인구분
위도1.0000.6870.339
경도0.6871.0000.501
법인구분0.3390.5011.000

Missing values

2023-12-12T20:05:55.357366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:05:55.534598image/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

법인구분상호주소취급품목위도경도데이터기준일자
0개인현대서귀중앙 판매대리점제주특별자치도 서귀포시 일주동로 8475자동차+자동차용품33.256168126.5825622023-10-12
1개인현대제주성산 판매대리점제주특별자치도 서귀포시 성산읍 일주동로 4276자동차+자동차용품33.44676126.9123672023-10-12
2법인㈜바이오밸류제주특별자치도 서귀포시 안덕면 신화역사로685번길 14-13건강식품33.314349126.3615192023-10-12
3개인가온모바일제주특별자치도 서귀포시 중앙로 42번길 7통신기기33.248661126.5623152023-10-12
4법인㈜삼화통신제주특별자치도 서귀포시 중앙로 80통신기기33.251719126.5613622023-10-12
5개인남양유업서귀포가정대리점제주특별자치도 서귀포시 중산간동로 7921건강식품(우유)33.265481126.5699242023-10-12
6법인서귀포시축산업협동조합제주특별자치도 서귀포시 일주동로 8532기타(금융)33.255079126.5767212023-10-12
7법인성산일출봉농업협동조합제주특별자치도 서귀포시 성산읍 일주동로 4282기타(금융)33.446254126.9115612023-10-12
8법인제주감귤농업 협동조합제주특별자치도 서귀포시 신중로 28기타(금융)33.255104126.508242023-10-12
9법인중문농업 협동조합제주특별자치도 서귀포시 천제연로 199기타(금융)33.251846126.4260572023-10-12
법인구분상호주소취급품목위도경도데이터기준일자
23개인서귀포녹즙제주특별자치도 서귀포시 중산간동로7929번길 2음료(녹즙)33.265732126.5690122023-10-12
24개인종근당건강헬스밸 스토리서귀포중앙점제주특별자치도 서귀포시 동홍로 26건강식품+ 화장품 등33.250752126.567972023-10-12
25개인세원통신제주특별자치도 서귀포시 이어도로 932통신기기33.238026126.5140672023-10-12
26개인세원 H&C제주특별자치도 서귀포시 이어도로 932건강식품33.238026126.5140672023-10-12
27개인헬렌스킨케어제주특별자치도 서귀포시 대정읍 상모로 285화장품+통신기기 등33.222909126.2587262023-10-12
28개인아이쿡뉴레파의료기제주특별자치도 서귀포시 중앙로 56의료기+온열기+생활용품33.249711126.5617762023-10-12
29개인태평양물류제주특별자치도 서귀포시 대정읍 동일하모로 209장례용품+생활용품 등33.225957126.2535092023-10-12
30개인청솔상사제주특별자치도 서귀포시 중정로91번길 13생활용품+주방용품 등33.249238126.5650872023-10-12
31개인매일유업서구포시 DS가정대리점제주특별자치도 서귀포시 태평로537번길 40-2우유+유제품+음료33.253054126.5710042023-10-12
32개인하보제주특별자치도 서귀포시 중산간동로 8128-44건강+화장품+의료기33.264393126.5474232023-10-12