Overview

Dataset statistics

Number of variables8
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory72.0 B

Variable types

Text3
Numeric2
Categorical1
DateTime2

Dataset

Description경상남도 거제시 착한가격업소현황(업소명, 주소, 위도, 경도, 업종, 지정시기, 연락처, 기준일자)등에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15055283

Alerts

기준일자 has constant value ""Constant
업소명 has unique valuesUnique
주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:10:41.509807
Analysis finished2023-12-10 23:10:42.451458
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T08:10:42.604170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.3181818
Min length3

Characters and Unicode

Total characters117
Distinct characters94
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row맨인그린
2nd row가마솥국밥
3rd row어부횟집
4th row쿠아미용실
5th row남영식당
ValueCountFrequency (%)
맨인그린 1
 
4.3%
바다친구 1
 
4.3%
하오츠퓨전철판요리점 1
 
4.3%
언니다방 1
 
4.3%
용쓰네갈비 1
 
4.3%
야생화편지 1
 
4.3%
쉼터 1
 
4.3%
여우들의 1
 
4.3%
거제냉밀면 1
 
4.3%
기사식당 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T08:10:42.951482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 6
 
5.1%
식 6
 
5.1%
갈 2
 
1.7%
집 2
 
1.7%
지 2
 
1.7%
제 2
 
1.7%
해 2
 
1.7%
산 2
 
1.7%
비 2
 
1.7%
용 2
 
1.7%
Other values (84) 89
76.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 112
95.7%
Uppercase Letter 3
 
2.6%
Space Separator 1
 
0.9%
Dash Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 6
 
5.4%
식 6
 
5.4%
갈 2
 
1.8%
집 2
 
1.8%
지 2
 
1.8%
제 2
 
1.8%
해 2
 
1.8%
산 2
 
1.8%
비 2
 
1.8%
용 2
 
1.8%
Other values (79) 84
75.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112
95.7%
Latin 3
 
2.6%
Common 2
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 6
 
5.4%
식 6
 
5.4%
갈 2
 
1.8%
집 2
 
1.8%
지 2
 
1.8%
제 2
 
1.8%
해 2
 
1.8%
산 2
 
1.8%
비 2
 
1.8%
용 2
 
1.8%
Other values (79) 84
75.0%
Latin
ValueCountFrequency (%)
S 1
33.3%
B 1
33.3%
K 1
33.3%
Common
ValueCountFrequency (%)
1
50.0%
- 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112
95.7%
ASCII 5
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 6
 
5.4%
식 6
 
5.4%
갈 2
 
1.8%
집 2
 
1.8%
지 2
 
1.8%
제 2
 
1.8%
해 2
 
1.8%
산 2
 
1.8%
비 2
 
1.8%
용 2
 
1.8%
Other values (79) 84
75.0%
ASCII
ValueCountFrequency (%)
1
20.0%
S 1
20.0%
B 1
20.0%
- 1
20.0%
K 1
20.0%

주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T08:10:43.179219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25.5
Mean length22.590909
Min length18

Characters and Unicode

Total characters497
Distinct characters57
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row경상남도 거제시 중곡로3길 12(고현동)
2nd row경상남도 거제시 동부면 동부로 2
3rd row경상남도 거제시 사등면 가조로4길 6
4th row경상남도 거제시 고현로6길 26-1(고현동)
5th row경상남도 거제시 고현로6길 11(고현동)
ValueCountFrequency (%)
경상남도 22
22.2%
거제시 22
22.2%
사등면 3
 
3.0%
고현로6길 3
 
3.0%
동부면 3
 
3.0%
1층(옥포동 2
 
2.0%
14(옥포동 1
 
1.0%
거제중앙로25길 1
 
1.0%
해명로 1
 
1.0%
105호(고현동，고려상가 1
 
1.0%
Other values (40) 40
40.4%
2023-12-11T08:10:43.550453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
 
15.5%
거 26
 
5.2%
제 26
 
5.2%
상 24
 
4.8%
경 22
 
4.4%
남 22
 
4.4%
도 22
 
4.4%
시 22
 
4.4%
로 22
 
4.4%
동 20
 
4.0%
Other values (47) 214
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 316
63.6%
Space Separator 77
 
15.5%
Decimal Number 68
 
13.7%
Open Punctuation 15
 
3.0%
Close Punctuation 15
 
3.0%
Dash Punctuation 4
 
0.8%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 26
 
8.2%
제 26
 
8.2%
상 24
 
7.6%
경 22
 
7.0%
남 22
 
7.0%
도 22
 
7.0%
시 22
 
7.0%
로 22
 
7.0%
동 20
 
6.3%
포 14
 
4.4%
Other values (31) 96
30.4%
Decimal Number
ValueCountFrequency (%)
1 18
26.5%
2 13
19.1%
3 8
11.8%
5 8
11.8%
6 7
 
10.3%
4 6
 
8.8%
7 3
 
4.4%
8 2
 
2.9%
0 2
 
2.9%
9 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
， 1
50.0%
Space Separator
ValueCountFrequency (%)
77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 316
63.6%
Common 181
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 26
 
8.2%
제 26
 
8.2%
상 24
 
7.6%
경 22
 
7.0%
남 22
 
7.0%
도 22
 
7.0%
시 22
 
7.0%
로 22
 
7.0%
동 20
 
6.3%
포 14
 
4.4%
Other values (31) 96
30.4%
Common
ValueCountFrequency (%)
77
42.5%
1 18
 
9.9%
( 15
 
8.3%
) 15
 
8.3%
2 13
 
7.2%
3 8
 
4.4%
5 8
 
4.4%
6 7
 
3.9%
4 6
 
3.3%
- 4
 
2.2%
Other values (6) 10
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 316
63.6%
ASCII 180
36.2%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
42.8%
1 18
 
10.0%
( 15
 
8.3%
) 15
 
8.3%
2 13
 
7.2%
3 8
 
4.4%
5 8
 
4.4%
6 7
 
3.9%
4 6
 
3.3%
- 4
 
2.2%
Other values (5) 9
 
5.0%
Hangul
ValueCountFrequency (%)
거 26
 
8.2%
제 26
 
8.2%
상 24
 
7.6%
경 22
 
7.0%
남 22
 
7.0%
도 22
 
7.0%
시 22
 
7.0%
로 22
 
7.0%
동 20
 
6.3%
포 14
 
4.4%
Other values (31) 96
30.4%
None
ValueCountFrequency (%)
， 1
100.0%

위도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.883134
Minimum34.79873
Maximum34.930306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T08:10:43.685954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.79873
5-th percentile34.803068
Q134.884471
median34.89001
Q334.893904
95-th percentile34.920523
Maximum34.930306
Range0.13157601
Interquartile range (IQR)0.009432715

Descriptive statistics

Standard deviation0.033458831
Coefficient of variation (CV)0.00095916929
Kurtosis2.3752955
Mean34.883134
Median Absolute Deviation (MAD)0.00430655
Skewness-1.5962814
Sum767.42896
Variance0.0011194934
MonotonicityNot monotonic
2023-12-11T08:10:43.801491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
34.89408665 1
 
4.5%
34.89153677 1
 
4.5%
34.8940518 1
 
4.5%
34.8892861 1
 
4.5%
34.8885631 1
 
4.5%
34.9140544 1
 
4.5%
34.80203063 1
 
4.5%
34.88403712 1
 
4.5%
34.88810708 1
 
4.5%
34.87399956 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
34.79872986 1
4.5%
34.80203063 1
4.5%
34.82277361 1
4.5%
34.87399956 1
4.5%
34.88403712 1
4.5%
34.88413662 1
4.5%
34.88547355 1
4.5%
34.88810708 1
4.5%
34.88850204 1
4.5%
34.8885631 1
4.5%
ValueCountFrequency (%)
34.93030587 1
4.5%
34.92086373 1
4.5%
34.9140544 1
4.5%
34.90973474 1
4.5%
34.89408665 1
4.5%
34.8940518 1
4.5%
34.89345887 1
4.5%
34.89227382 1
4.5%
34.89221748 1
4.5%
34.89153677 1
4.5%

경도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.63178
Minimum128.52414
Maximum128.69653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T08:10:43.915015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.52414
5-th percentile128.52636
Q1128.62161
median128.6264
Q3128.68312
95-th percentile128.69531
Maximum128.69653
Range0.1723922
Interquartile range (IQR)0.0615086

Descriptive statistics

Standard deviation0.051958042
Coefficient of variation (CV)0.0004039285
Kurtosis0.111785
Mean128.63178
Median Absolute Deviation (MAD)0.0216992
Skewness-0.60882197
Sum2829.8992
Variance0.0026996381
MonotonicityNot monotonic
2023-12-11T08:10:44.047482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
128.6291197 1
 
4.5%
128.6965276 1
 
4.5%
128.643731 1
 
4.5%
128.694159 1
 
4.5%
128.694308 1
 
4.5%
128.654765 1
 
4.5%
128.6019809 1
 
4.5%
128.6235293 1
 
4.5%
128.6226849 1
 
4.5%
128.631318 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
128.5241354 1
4.5%
128.525345 1
4.5%
128.5456664 1
4.5%
128.6019809 1
4.5%
128.607423 1
4.5%
128.6212547 1
4.5%
128.6226849 1
4.5%
128.6229275 1
4.5%
128.6234644 1
4.5%
128.6235293 1
4.5%
ValueCountFrequency (%)
128.6965276 1
4.5%
128.6953304 1
4.5%
128.6950001 1
4.5%
128.694308 1
4.5%
128.694159 1
4.5%
128.6925728 1
4.5%
128.654765 1
4.5%
128.643731 1
4.5%
128.631318 1
4.5%
128.6302308 1
4.5%

업종
Categorical

Distinct4
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size308.0 B
한식
16 
이미용
4 
기타요식업
 
1
중식
 
1

Length

Max length5
Median length2
Mean length2.3181818
Min length2

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st row이미용
2nd row한식
3rd row한식
4th row이미용
5th row한식

Common Values

ValueCountFrequency (%)
한식 16
72.7%
이미용 4
 
18.2%
기타요식업 1
 
4.5%
중식 1
 
4.5%

Length

2023-12-11T08:10:44.192093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:10:44.297473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 16
72.7%
이미용 4
 
18.2%
기타요식업 1
 
4.5%
중식 1
 
4.5%

지정시기
Date

Distinct8
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2011-10-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-11T08:10:44.640221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:10:44.741989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

연락처
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T08:10:44.907439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.636364
Min length4

Characters and Unicode

Total characters256
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row055-633-8533
2nd row055-632-5363
3rd row055-635-3688
4th row055-637-4416
5th row055-637-6400
ValueCountFrequency (%)
055-633-8533 1
 
4.5%
055-632-5363 1
 
4.5%
055-687-0282 1
 
4.5%
055-950-7379 1
 
4.5%
055-688-6111 1
 
4.5%
055-632-8779 1
 
4.5%
정보없음 1
 
4.5%
055-637-7277 1
 
4.5%
055-637-4670 1
 
4.5%
055-633-5543 1
 
4.5%
Other values (12) 12
54.5%
2023-12-11T08:10:45.226709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 50
19.5%
- 42
16.4%
0 32
12.5%
6 32
12.5%
3 27
10.5%
7 19
 
7.4%
8 17
 
6.6%
2 14
 
5.5%
4 8
 
3.1%
1 7
 
2.7%
Other values (5) 8
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
82.0%
Dash Punctuation 42
 
16.4%
Other Letter 4
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 50
23.8%
0 32
15.2%
6 32
15.2%
3 27
12.9%
7 19
 
9.0%
8 17
 
8.1%
2 14
 
6.7%
4 8
 
3.8%
1 7
 
3.3%
9 4
 
1.9%
Other Letter
ValueCountFrequency (%)
정 1
25.0%
보 1
25.0%
없 1
25.0%
음 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
98.4%
Hangul 4
 
1.6%

Most frequent character per script

Common
ValueCountFrequency (%)
5 50
19.8%
- 42
16.7%
0 32
12.7%
6 32
12.7%
3 27
10.7%
7 19
 
7.5%
8 17
 
6.7%
2 14
 
5.6%
4 8
 
3.2%
1 7
 
2.8%
Hangul
ValueCountFrequency (%)
정 1
25.0%
보 1
25.0%
없 1
25.0%
음 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
98.4%
Hangul 4
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 50
19.8%
- 42
16.7%
0 32
12.7%
6 32
12.7%
3 27
10.7%
7 19
 
7.5%
8 17
 
6.7%
2 14
 
5.6%
4 8
 
3.2%
1 7
 
2.8%
Hangul
ValueCountFrequency (%)
정 1
25.0%
보 1
25.0%
없 1
25.0%
음 1
25.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-08-30 00:00:00
Maximum2023-08-30 00:00:00
2023-12-11T08:10:45.333083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:10:45.408204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:10:42.011771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:10:41.807395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:10:42.121432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:10:41.916059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:10:45.471821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명주소위도경도업종지정시기연락처
업소명1.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0000.9400.0000.0001.000
경도1.0001.0000.9401.0000.0000.4681.000
업종1.0001.0000.0000.0001.0000.3231.000
지정시기1.0001.0000.0000.4680.3231.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
2023-12-11T08:10:45.563353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종
위도1.0000.0430.000
경도0.0431.0000.000
업종0.0000.0001.000

Missing values

2023-12-11T08:10:42.253611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:10:42.393847image/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

업소명주소위도경도업종지정시기연락처기준일자
0맨인그린경상남도 거제시 중곡로3길 12(고현동)34.894087128.62912이미용2011-10-31055-633-85332023-08-30
1가마솥국밥경상남도 거제시 동부면 동부로 234.822774128.607423한식2013-05-31055-632-53632023-08-30
2어부횟집경상남도 거제시 사등면 가조로4길 634.930306128.525345한식2013-05-31055-635-36882023-08-30
3쿠아미용실경상남도 거제시 고현로6길 26-1(고현동)34.884137128.623464이미용2015-09-30055-637-44162023-08-30
4남영식당경상남도 거제시 고현로6길 11(고현동)34.885474128.622928한식2015-09-30055-637-64002023-08-30
5서울식당경상남도 거제시 서문로6길 7 103(고현동)34.888502128.621255한식2015-09-30055-632-01612023-08-30
6행운식당경상남도 거제시 옥포로12길 11-1(옥포동)34.892217128.692573한식2015-09-30055-687-57862023-08-30
7노자산묵밥집경상남도 거제시 동부면 거제중앙로 52434.79873128.623683한식2015-09-30055-632-38682023-08-30
8무등산식당경상남도 거제시 옥포성안로2길 5(옥포동)34.892274128.69533한식2015-09-30055-688-27222023-08-30
9청학식당경상남도 거제시 사등면 성포로3길 12-134.920864128.524135한식2016-11-30055-632-50172023-08-30
업소명주소위도경도업종지정시기연락처기준일자
12바다친구경상남도 거제시 옥포로4길 32(옥포동)34.891537128.696528한식2018-11-30055-687-00442023-08-30
13지중해경상남도 거제시 사등면 거제대로 548234.909735128.545666한식2018-11-30055-633-55432023-08-30
14기사식당경상남도 거제시 계룡로 3(상동동)34.874128.631318한식2018-11-30055-637-46702023-08-30
15거제냉밀면경상남도 거제시 거제중앙로25길 5(고현동)34.888107128.622685한식2018-11-30055-637-72772023-08-30
16여우들의 쉼터경상남도 거제시 고현로6길 28(고현동)34.884037128.623529이미용2019-11-30정보없음2023-08-30
17야생화편지경상남도 거제시 동부면 율포로 47534.802031128.601981한식2019-11-30055-632-87792023-08-30
18용쓰네갈비경상남도 거제시 연초면 거제북로 27-134.914054128.654765한식2021-11-30055-688-61112023-08-30
19언니다방경상남도 거제시 옥포로5길 14(옥포동)34.888563128.694308기타요식업2021-11-30055-950-73792023-08-30
20하오츠퓨전철판요리점경상남도 거제시 옥포성안로 32, 1층(옥포동)34.889286128.694159중식2021-11-30055-687-02822023-08-30
21착한수제갈비수월점경상남도 거제시 해명로 31(수월동)34.894052128.643731한식2022-12-31055-634-08922023-08-30