Overview

Dataset statistics

Number of variables8
Number of observations23
Missing cells1
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory71.7 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
연락처 has 1 (4.3%) missing valuesMissing
업소명 has unique valuesUnique
주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:10:29.534730
Analysis finished2023-12-10 23:10:30.598068
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T08:10:30.759153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length5.0434783
Min length3

Characters and Unicode

Total characters116
Distinct characters88
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

Unique23 ?
Unique (%)100.0%

Sample

1st row맨인그린
2nd row하누랑
3rd row가마솥국밥
4th row어부횟집
5th row손맛해물칼국수
ValueCountFrequency (%)
맨인그린 1
 
4.0%
k-bs헤어뉴스 1
 
4.0%
미용실 1
 
4.0%
쉼터 1
 
4.0%
여우들의 1
 
4.0%
거제냉밀면 1
 
4.0%
기사식당 1
 
4.0%
지중해 1
 
4.0%
바다친구 1
 
4.0%
럼블피쉬 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T08:10:31.165376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 8
 
6.9%
당 7
 
6.0%
해 3
 
2.6%
밥 2
 
1.7%
실 2
 
1.7%
미 2
 
1.7%
산 2
 
1.7%
물 2
 
1.7%
지 2
 
1.7%
어 2
 
1.7%
Other values (78) 84
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110
94.8%
Uppercase Letter 3
 
2.6%
Space Separator 2
 
1.7%
Dash Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 8
 
7.3%
당 7
 
6.4%
해 3
 
2.7%
밥 2
 
1.8%
실 2
 
1.8%
미 2
 
1.8%
산 2
 
1.8%
물 2
 
1.8%
지 2
 
1.8%
어 2
 
1.8%
Other values (73) 78
70.9%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
S 1
33.3%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110
94.8%
Common 3
 
2.6%
Latin 3
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 8
 
7.3%
당 7
 
6.4%
해 3
 
2.7%
밥 2
 
1.8%
실 2
 
1.8%
미 2
 
1.8%
산 2
 
1.8%
물 2
 
1.8%
지 2
 
1.8%
어 2
 
1.8%
Other values (73) 78
70.9%
Latin
ValueCountFrequency (%)
B 1
33.3%
S 1
33.3%
K 1
33.3%
Common
ValueCountFrequency (%)
2
66.7%
- 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 110
94.8%
ASCII 6
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 8
 
7.3%
당 7
 
6.4%
해 3
 
2.7%
밥 2
 
1.8%
실 2
 
1.8%
미 2
 
1.8%
산 2
 
1.8%
물 2
 
1.8%
지 2
 
1.8%
어 2
 
1.8%
Other values (73) 78
70.9%
ASCII
ValueCountFrequency (%)
2
33.3%
B 1
16.7%
S 1
16.7%
- 1
16.7%
K 1
16.7%

주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T08:10:31.407957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length22.565217
Min length18

Characters and Unicode

Total characters519
Distinct characters53
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row경상남도 거제시 중곡로3길 12(고현동)
2nd row경상남도 거제시 옥포로27길 6(옥포동)
3rd row경상남도 거제시 동부면 동부로 2
4th row경상남도 거제시 사등면 가조로4길 6
5th row경상남도 거제시 장평3로2길 45(장평동)
ValueCountFrequency (%)
경상남도 23
22.5%
거제시 23
22.5%
동부면 3
 
2.9%
사등면 3
 
2.9%
고현로6길 3
 
2.9%
거제중앙로25길 1
 
1.0%
215(옥포동 1
 
1.0%
율포로 1
 
1.0%
1층(옥포동 1
 
1.0%
중곡로 1
 
1.0%
Other values (42) 42
41.2%
2023-12-11T08:10:31.801919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
 
15.2%
거 27
 
5.2%
제 27
 
5.2%
상 25
 
4.8%
경 23
 
4.4%
남 23
 
4.4%
도 23
 
4.4%
시 23
 
4.4%
로 23
 
4.4%
동 22
 
4.2%
Other values (43) 224
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
63.4%
Space Separator 79
 
15.2%
Decimal Number 73
 
14.1%
Close Punctuation 17
 
3.3%
Open Punctuation 17
 
3.3%
Dash Punctuation 3
 
0.6%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 27
 
8.2%
제 27
 
8.2%
상 25
 
7.6%
경 23
 
7.0%
남 23
 
7.0%
도 23
 
7.0%
시 23
 
7.0%
로 23
 
7.0%
동 22
 
6.7%
길 15
 
4.6%
Other values (28) 98
29.8%
Decimal Number
ValueCountFrequency (%)
1 16
21.9%
2 15
20.5%
5 10
13.7%
3 8
11.0%
6 8
11.0%
4 6
 
8.2%
7 4
 
5.5%
8 3
 
4.1%
0 2
 
2.7%
9 1
 
1.4%
Space Separator
ValueCountFrequency (%)
79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
63.4%
Common 190
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 27
 
8.2%
제 27
 
8.2%
상 25
 
7.6%
경 23
 
7.0%
남 23
 
7.0%
도 23
 
7.0%
시 23
 
7.0%
로 23
 
7.0%
동 22
 
6.7%
길 15
 
4.6%
Other values (28) 98
29.8%
Common
ValueCountFrequency (%)
79
41.6%
) 17
 
8.9%
( 17
 
8.9%
1 16
 
8.4%
2 15
 
7.9%
5 10
 
5.3%
3 8
 
4.2%
6 8
 
4.2%
4 6
 
3.2%
7 4
 
2.1%
Other values (5) 10
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
63.4%
ASCII 190
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
79
41.6%
) 17
 
8.9%
( 17
 
8.9%
1 16
 
8.4%
2 15
 
7.9%
5 10
 
5.3%
3 8
 
4.2%
6 8
 
4.2%
4 6
 
3.2%
7 4
 
2.1%
Other values (5) 10
 
5.3%
Hangul
ValueCountFrequency (%)
거 27
 
8.2%
제 27
 
8.2%
상 25
 
7.6%
경 23
 
7.0%
남 23
 
7.0%
도 23
 
7.0%
시 23
 
7.0%
로 23
 
7.0%
동 22
 
6.7%
길 15
 
4.6%
Other values (28) 98
29.8%

위도
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.881403
Minimum34.79873
Maximum34.930306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T08:10:31.951171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.79873
5-th percentile34.804105
Q134.883709
median34.8899
Q334.893714
95-th percentile34.919751
Maximum34.930306
Range0.13157601
Interquartile range (IQR)0.010004615

Descriptive statistics

Standard deviation0.032323329
Coefficient of variation (CV)0.00092666367
Kurtosis2.4135255
Mean34.881403
Median Absolute Deviation (MAD)0.00576369
Skewness-1.5551097
Sum802.27226
Variance0.0010447976
MonotonicityNot monotonic
2023-12-11T08:10:32.084716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
34.89408665 1
 
4.3%
34.89705819 1
 
4.3%
34.80203063 1
 
4.3%
34.88403712 1
 
4.3%
34.88810708 1
 
4.3%
34.87399956 1
 
4.3%
34.90973474 1
 
4.3%
34.89153677 1
 
4.3%
34.8649513 1
 
4.3%
34.89396838 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
34.79872986 1
4.3%
34.80203063 1
4.3%
34.82277361 1
4.3%
34.8649513 1
4.3%
34.87399956 1
4.3%
34.8833809 1
4.3%
34.88403712 1
4.3%
34.88413662 1
4.3%
34.88547355 1
4.3%
34.88810708 1
4.3%
ValueCountFrequency (%)
34.93030587 1
4.3%
34.92086373 1
4.3%
34.90973474 1
4.3%
34.89705819 1
4.3%
34.89408665 1
4.3%
34.89396838 1
4.3%
34.89345887 1
4.3%
34.89227382 1
4.3%
34.89221748 1
4.3%
34.89153677 1
4.3%

경도
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.63101
Minimum128.52414
Maximum128.69653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T08:10:32.199466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.52414
5-th percentile128.52738
Q1128.61762
median128.62353
Q3128.68756
95-th percentile128.6953
Maximum128.69653
Range0.1723922
Interquartile range (IQR)0.06993925

Descriptive statistics

Standard deviation0.051485457
Coefficient of variation (CV)0.00040025694
Kurtosis0.021056372
Mean128.63101
Median Absolute Deviation (MAD)0.0161063
Skewness-0.53013533
Sum2958.5133
Variance0.0026507522
MonotonicityNot monotonic
2023-12-11T08:10:32.338305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
128.6291197 1
 
4.3%
128.6878431 1
 
4.3%
128.6019809 1
 
4.3%
128.6235293 1
 
4.3%
128.6226849 1
 
4.3%
128.631318 1
 
4.3%
128.5456664 1
 
4.3%
128.6965276 1
 
4.3%
128.6872689 1
 
4.3%
128.6906291 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
128.5241354 1
4.3%
128.525345 1
4.3%
128.5456664 1
4.3%
128.6019809 1
4.3%
128.607423 1
4.3%
128.6139788 1
4.3%
128.6212547 1
4.3%
128.6214129 1
4.3%
128.6226849 1
4.3%
128.6229275 1
4.3%
ValueCountFrequency (%)
128.6965276 1
4.3%
128.6953304 1
4.3%
128.6950001 1
4.3%
128.6925728 1
4.3%
128.6906291 1
4.3%
128.6878431 1
4.3%
128.6872689 1
4.3%
128.631318 1
4.3%
128.6302308 1
4.3%
128.6291197 1
4.3%

업종
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
한식
19 
이미용
4 

Length

Max length3
Median length2
Mean length2.173913
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한식 19
82.6%
이미용 4
 
17.4%

Length

2023-12-11T08:10:32.464358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:10:32.815822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 19
82.6%
이미용 4
 
17.4%

지정시기
Date

Distinct8
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2011-10-31 00:00:00
Maximum2019-11-30 00:00:00
2023-12-11T08:10:32.880971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:10:32.962204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

연락처
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing1
Missing (%)4.3%
Memory size316.0 B
2023-12-11T08:10:33.131049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
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 row055-639-1360
3rd row055-632-5363
4th row055-635-3688
5th row055-633-7276
ValueCountFrequency (%)
055-633-8533 1
 
4.5%
055-639-1360 1
 
4.5%
055-637-7277 1
 
4.5%
055-637-4670 1
 
4.5%
055-633-5543 1
 
4.5%
055-687-0044 1
 
4.5%
055-687-7733 1
 
4.5%
055-687-3318 1
 
4.5%
055-638-3119 1
 
4.5%
055-633-3022 1
 
4.5%
Other values (12) 12
54.5%
2023-12-11T08:10:33.419699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 51
19.3%
- 44
16.7%
6 35
13.3%
3 35
13.3%
0 31
11.7%
7 22
8.3%
8 16
 
6.1%
2 12
 
4.5%
1 8
 
3.0%
4 7
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 51
23.2%
6 35
15.9%
3 35
15.9%
0 31
14.1%
7 22
10.0%
8 16
 
7.3%
2 12
 
5.5%
1 8
 
3.6%
4 7
 
3.2%
9 3
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 51
19.3%
- 44
16.7%
6 35
13.3%
3 35
13.3%
0 31
11.7%
7 22
8.3%
8 16
 
6.1%
2 12
 
4.5%
1 8
 
3.0%
4 7
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 51
19.3%
- 44
16.7%
6 35
13.3%
3 35
13.3%
0 31
11.7%
7 22
8.3%
8 16
 
6.1%
2 12
 
4.5%
1 8
 
3.0%
4 7
 
2.7%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2021-09-07 00:00:00
Maximum2021-09-07 00:00:00
2023-12-11T08:10:33.535032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:10:33.622603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:10:30.038735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:10:29.845210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:10:30.183825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:10:29.944663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:10:33.694903image/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
위도1.0001.0001.0000.8870.0000.1881.000
경도1.0001.0000.8871.0000.5230.4321.000
업종1.0001.0000.0000.5231.0000.3841.000
지정시기1.0001.0000.1880.4320.3841.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
2023-12-11T08:10:33.800447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종
위도1.0000.0220.000
경도0.0221.0000.350
업종0.0000.3501.000

Missing values

2023-12-11T08:10:30.388612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:10:30.538776image/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)34.894087128.62912이미용2011-10-31055-633-85332021-09-07
1하누랑경상남도 거제시 옥포로27길 6(옥포동)34.897058128.687843한식2012-06-30055-639-13602021-09-07
2가마솥국밥경상남도 거제시 동부면 동부로 234.822774128.607423한식2013-05-31055-632-53632021-09-07
3어부횟집경상남도 거제시 사등면 가조로4길 634.930306128.525345한식2013-05-31055-635-36882021-09-07
4손맛해물칼국수경상남도 거제시 장평3로2길 45(장평동)34.8899128.613979한식2015-09-30055-633-72762021-09-07
5쿠아미용실경상남도 거제시 고현로6길 26-1(고현동)34.884137128.623464이미용2015-09-30055-637-44162021-09-07
6남영식당경상남도 거제시 고현로6길 11(고현동)34.885474128.622928한식2015-09-30055-637-64002021-09-07
7서울식당경상남도 거제시 서문로6길 7 103(고현동)34.888502128.621255한식2015-09-30055-632-01612021-09-07
8행운식당경상남도 거제시 옥포로12길 11-1(옥포동)34.892217128.692573한식2015-09-30055-687-57862021-09-07
9노자산묵밥집경상남도 거제시 동부면 거제중앙로 52434.79873128.623683한식2015-09-30055-632-38682021-09-07
업소명주소위도경도업종지정시기연락처기준일자
13K-BS헤어뉴스경상남도 거제시 중곡로 9 105호(고현동, 고려상가)34.893459128.630231이미용2016-11-30055-633-30222021-09-07
14정가네경상남도 거제시 거제중앙로15길 38(고현동)34.883381128.621413한식2016-11-30055-638-31192021-09-07
15중앙식육식당경상남도 거제시 옥포로 215(옥포동)34.893968128.690629한식2017-11-30055-687-33182021-09-07
16럼블피쉬경상남도 거제시 아주로 72(아주동)34.864951128.687269한식2018-11-30055-687-77332021-09-07
17바다친구경상남도 거제시 옥포로4길 32(옥포동)34.891537128.696528한식2018-11-30055-687-00442021-09-07
18지중해경상남도 거제시 사등면 거제대로 548234.909735128.545666한식2018-11-30055-633-55432021-09-07
19기사식당경상남도 거제시 계룡로 3(상동동)34.874128.631318한식2018-11-30055-637-46702021-09-07
20거제냉밀면경상남도 거제시 거제중앙로25길 5(고현동)34.888107128.622685한식2018-11-30055-637-72772021-09-07
21여우들의 쉼터 미용실경상남도 거제시 고현로6길 28(고현동)34.884037128.623529이미용2019-11-30<NA>2021-09-07
22야생화편지경상남도 거제시 동부면 율포로 47534.802031128.601981한식2019-11-30055-632-87792021-09-07