Overview

Dataset statistics

Number of variables6
Number of observations360
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.1 KiB
Average record size in memory51.4 B

Variable types

Numeric3
Text2
Categorical1

Dataset

Description경상남도 거제시에 위치하고 있는 의료기기 판매업소(영업소명, 소재지, 위도, 경도, 기준일자)에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15088736

Alerts

기준일자 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-13 00:14:02.182945
Analysis finished2024-03-13 00:14:03.318548
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct360
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.5
Minimum1
Maximum360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-13T09:14:03.389802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.95
Q190.75
median180.5
Q3270.25
95-th percentile342.05
Maximum360
Range359
Interquartile range (IQR)179.5

Descriptive statistics

Standard deviation104.06729
Coefficient of variation (CV)0.57655006
Kurtosis-1.2
Mean180.5
Median Absolute Deviation (MAD)90
Skewness0
Sum64980
Variance10830
MonotonicityStrictly increasing
2024-03-13T09:14:03.519736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
249 1
 
0.3%
247 1
 
0.3%
246 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
Other values (350) 350
97.2%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
360 1
0.3%
359 1
0.3%
358 1
0.3%
357 1
0.3%
356 1
0.3%
355 1
0.3%
354 1
0.3%
353 1
0.3%
352 1
0.3%
351 1
0.3%

영업소명
Text

Distinct356
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-13T09:14:03.727516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length10.077778
Min length2

Characters and Unicode

Total characters3628
Distinct characters303
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

Unique352 ?
Unique (%)97.8%

Sample

1st row다이소 거제서정점
2nd row케이라이프케어
3rd row지에스(GS)25 연초신우점
4th row씨유 거제옥포원룸점
5th row리더스클럽
ValueCountFrequency (%)
씨유 78
 
12.6%
세븐일레븐 58
 
9.4%
gs25 37
 
6.0%
지에스(gs)25 14
 
2.3%
이마트24 7
 
1.1%
미니스톱 5
 
0.8%
주식회사 5
 
0.8%
거제점 5
 
0.8%
지에스25 5
 
0.8%
거제고현점 4
 
0.6%
Other values (363) 400
64.7%
2024-03-13T09:14:04.037059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 273
 
7.5%
258
 
7.1%
제 213
 
5.9%
거 204
 
5.6%
븐 128
 
3.5%
유 89
 
2.5%
씨 88
 
2.4%
2 81
 
2.2%
일 78
 
2.1%
스 72
 
2.0%
Other values (293) 2144
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2968
81.8%
Space Separator 258
 
7.1%
Decimal Number 161
 
4.4%
Uppercase Letter 149
 
4.1%
Close Punctuation 43
 
1.2%
Open Punctuation 41
 
1.1%
Lowercase Letter 6
 
0.2%
Other Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 273
 
9.2%
제 213
 
7.2%
거 204
 
6.9%
븐 128
 
4.3%
유 89
 
3.0%
씨 88
 
3.0%
일 78
 
2.6%
스 72
 
2.4%
세 71
 
2.4%
레 66
 
2.2%
Other values (269) 1686
56.8%
Uppercase Letter
ValueCountFrequency (%)
S 69
46.3%
G 68
45.6%
R 3
 
2.0%
H 2
 
1.3%
M 2
 
1.3%
K 1
 
0.7%
U 1
 
0.7%
C 1
 
0.7%
D 1
 
0.7%
J 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
o 2
33.3%
i 1
16.7%
e 1
16.7%
c 1
16.7%
u 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 81
50.3%
5 71
44.1%
4 8
 
5.0%
3 1
 
0.6%
Space Separator
ValueCountFrequency (%)
258
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2969
81.8%
Common 504
 
13.9%
Latin 155
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 273
 
9.2%
제 213
 
7.2%
거 204
 
6.9%
븐 128
 
4.3%
유 89
 
3.0%
씨 88
 
3.0%
일 78
 
2.6%
스 72
 
2.4%
세 71
 
2.4%
레 66
 
2.2%
Other values (270) 1687
56.8%
Latin
ValueCountFrequency (%)
S 69
44.5%
G 68
43.9%
R 3
 
1.9%
H 2
 
1.3%
M 2
 
1.3%
o 2
 
1.3%
i 1
 
0.6%
e 1
 
0.6%
K 1
 
0.6%
c 1
 
0.6%
Other values (5) 5
 
3.2%
Common
ValueCountFrequency (%)
258
51.2%
2 81
 
16.1%
5 71
 
14.1%
) 43
 
8.5%
( 41
 
8.1%
4 8
 
1.6%
3 1
 
0.2%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2968
81.8%
ASCII 659
 
18.2%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 273
 
9.2%
제 213
 
7.2%
거 204
 
6.9%
븐 128
 
4.3%
유 89
 
3.0%
씨 88
 
3.0%
일 78
 
2.6%
스 72
 
2.4%
세 71
 
2.4%
레 66
 
2.2%
Other values (269) 1686
56.8%
ASCII
ValueCountFrequency (%)
258
39.2%
2 81
 
12.3%
5 71
 
10.8%
S 69
 
10.5%
G 68
 
10.3%
) 43
 
6.5%
( 41
 
6.2%
4 8
 
1.2%
R 3
 
0.5%
H 2
 
0.3%
Other values (13) 15
 
2.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

Distinct357
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-03-13T09:14:04.263069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length50
Mean length29.227778
Min length18

Characters and Unicode

Total characters10522
Distinct characters246
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique354 ?
Unique (%)98.3%

Sample

1st row경상남도 거제시 거제면 거제남서로 3446, 1층
2nd row경상남도 거제시 남부면 저구1길 37
3rd row경상남도 거제시 연초면 죽토로 2, 1동 105-1호 (신우희가로아파트)
4th row경상남도 거제시 국산6길 20, 1층 (옥포동)
5th row경상남도 거제시 옥포대첩로 55, 3층 (옥포동)
ValueCountFrequency (%)
경상남도 360
 
16.7%
거제시 360
 
16.7%
1층 88
 
4.1%
고현동 63
 
2.9%
옥포동 43
 
2.0%
장평동 41
 
1.9%
아주동 29
 
1.3%
거제중앙로 24
 
1.1%
거제대로 22
 
1.0%
101호 17
 
0.8%
Other values (635) 1103
51.3%
2024-03-13T09:14:04.624755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1791
 
17.0%
1 523
 
5.0%
제 474
 
4.5%
거 462
 
4.4%
상 415
 
3.9%
동 412
 
3.9%
남 366
 
3.5%
경 364
 
3.5%
시 363
 
3.4%
도 363
 
3.4%
Other values (236) 4989
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6060
57.6%
Space Separator 1791
 
17.0%
Decimal Number 1665
 
15.8%
Close Punctuation 320
 
3.0%
Open Punctuation 320
 
3.0%
Other Punctuation 278
 
2.6%
Dash Punctuation 68
 
0.6%
Uppercase Letter 16
 
0.2%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 474
 
7.8%
거 462
 
7.6%
상 415
 
6.8%
동 412
 
6.8%
남 366
 
6.0%
경 364
 
6.0%
시 363
 
6.0%
도 363
 
6.0%
로 308
 
5.1%
포 155
 
2.6%
Other values (212) 2378
39.2%
Decimal Number
ValueCountFrequency (%)
1 523
31.4%
2 229
13.8%
0 177
 
10.6%
3 165
 
9.9%
4 144
 
8.6%
5 122
 
7.3%
6 89
 
5.3%
7 88
 
5.3%
8 75
 
4.5%
9 53
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
25.0%
I 2
12.5%
P 2
12.5%
A 2
12.5%
R 2
12.5%
K 2
12.5%
G 1
 
6.2%
L 1
 
6.2%
Space Separator
ValueCountFrequency (%)
1791
100.0%
Close Punctuation
ValueCountFrequency (%)
) 320
100.0%
Open Punctuation
ValueCountFrequency (%)
( 320
100.0%
Other Punctuation
ValueCountFrequency (%)
, 278
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6060
57.6%
Common 4442
42.2%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 474
 
7.8%
거 462
 
7.6%
상 415
 
6.8%
동 412
 
6.8%
남 366
 
6.0%
경 364
 
6.0%
시 363
 
6.0%
도 363
 
6.0%
로 308
 
5.1%
포 155
 
2.6%
Other values (212) 2378
39.2%
Common
ValueCountFrequency (%)
1791
40.3%
1 523
 
11.8%
) 320
 
7.2%
( 320
 
7.2%
, 278
 
6.3%
2 229
 
5.2%
0 177
 
4.0%
3 165
 
3.7%
4 144
 
3.2%
5 122
 
2.7%
Other values (5) 373
 
8.4%
Latin
ValueCountFrequency (%)
e 4
20.0%
B 4
20.0%
I 2
10.0%
P 2
10.0%
A 2
10.0%
R 2
10.0%
K 2
10.0%
G 1
 
5.0%
L 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6060
57.6%
ASCII 4462
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1791
40.1%
1 523
 
11.7%
) 320
 
7.2%
( 320
 
7.2%
, 278
 
6.2%
2 229
 
5.1%
0 177
 
4.0%
3 165
 
3.7%
4 144
 
3.2%
5 122
 
2.7%
Other values (14) 393
 
8.8%
Hangul
ValueCountFrequency (%)
제 474
 
7.8%
거 462
 
7.6%
상 415
 
6.8%
동 412
 
6.8%
남 366
 
6.0%
경 364
 
6.0%
시 363
 
6.0%
도 363
 
6.0%
로 308
 
5.1%
포 155
 
2.6%
Other values (212) 2378
39.2%

위도
Real number (ℝ)

Distinct344
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.882446
Minimum34.731091
Maximum34.987449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-13T09:14:04.837343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.731091
5-th percentile34.841975
Q134.872222
median34.888448
Q334.892913
95-th percentile34.909502
Maximum34.987449
Range0.25635827
Interquartile range (IQR)0.020691128

Descriptive statistics

Standard deviation0.025052018
Coefficient of variation (CV)0.00071818411
Kurtosis10.644935
Mean34.882446
Median Absolute Deviation (MAD)0.006695415
Skewness-1.5036445
Sum12557.681
Variance0.00062760362
MonotonicityNot monotonic
2024-03-13T09:14:04.969031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.8910509 4
 
1.1%
34.87461321 2
 
0.6%
34.87383305 2
 
0.6%
34.88278177 2
 
0.6%
34.87195161 2
 
0.6%
34.89026208 2
 
0.6%
34.86049151 2
 
0.6%
34.88963273 2
 
0.6%
34.87365042 2
 
0.6%
34.89186283 2
 
0.6%
Other values (334) 338
93.9%
ValueCountFrequency (%)
34.731091 1
0.3%
34.73727711 1
0.3%
34.77275962 1
0.3%
34.776094 1
0.3%
34.7764196 1
0.3%
34.81042973 1
0.3%
34.81385005 1
0.3%
34.81614278 1
0.3%
34.82231048 1
0.3%
34.82843882 1
0.3%
ValueCountFrequency (%)
34.98744927 1
0.3%
34.98108825 1
0.3%
34.97403577 1
0.3%
34.95870685 1
0.3%
34.95693723 1
0.3%
34.93417681 1
0.3%
34.93290388 1
0.3%
34.92115763 1
0.3%
34.91775914 1
0.3%
34.91703544 1
0.3%

경도
Real number (ℝ)

Distinct344
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.65027
Minimum128.47771
Maximum128.73838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-13T09:14:05.083522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47771
5-th percentile128.59009
Q1128.62182
median128.63854
Q3128.69032
95-th percentile128.72856
Maximum128.73838
Range0.2606654
Interquartile range (IQR)0.06849165

Descriptive statistics

Standard deviation0.045208599
Coefficient of variation (CV)0.00035140695
Kurtosis0.1426957
Mean128.65027
Median Absolute Deviation (MAD)0.0291684
Skewness-0.13744266
Sum46314.098
Variance0.0020438174
MonotonicityNot monotonic
2024-03-13T09:14:05.203385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6164053 4
 
1.1%
128.7307749 2
 
0.6%
128.7315884 2
 
0.6%
128.6257296 2
 
0.6%
128.7221212 2
 
0.6%
128.6243422 2
 
0.6%
128.6423917 2
 
0.6%
128.6952972 2
 
0.6%
128.6256274 2
 
0.6%
128.6055472 2
 
0.6%
Other values (334) 338
93.9%
ValueCountFrequency (%)
128.47771 1
0.3%
128.5116764 1
0.3%
128.5161916 1
0.3%
128.522868 1
0.3%
128.5228787 1
0.3%
128.541454 1
0.3%
128.543588 1
0.3%
128.5472867 1
0.3%
128.5541737 1
0.3%
128.563729 1
0.3%
ValueCountFrequency (%)
128.7383754 1
0.3%
128.7373525 1
0.3%
128.7365363 1
0.3%
128.7349456 1
0.3%
128.7338894 1
0.3%
128.733109 1
0.3%
128.732522 1
0.3%
128.732066 1
0.3%
128.7319022 1
0.3%
128.7315884 2
0.6%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2024-02-07
360 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-07
2nd row2024-02-07
3rd row2024-02-07
4th row2024-02-07
5th row2024-02-07

Common Values

ValueCountFrequency (%)
2024-02-07 360
100.0%

Length

2024-03-13T09:14:05.305315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:14:05.382885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-07 360
100.0%

Interactions

2024-03-13T09:14:02.929584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:02.457660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:02.712259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:03.017436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:02.568203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:02.780391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:03.103926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:02.641710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:14:02.844865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T09:14:05.431020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.0000.0000.079
위도0.0001.0000.618
경도0.0790.6181.000
2024-03-13T09:14:05.498471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.0000.052-0.006
위도0.0521.000-0.196
경도-0.006-0.1961.000

Missing values

2024-03-13T09:14:03.200340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:14:03.279442image/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

순번영업소명소재지위도경도기준일자
01다이소 거제서정점경상남도 거제시 거제면 거제남서로 3446, 1층34.848642128.5878232024-02-07
12케이라이프케어경상남도 거제시 남부면 저구1길 3734.731091128.6079882024-02-07
23지에스(GS)25 연초신우점경상남도 거제시 연초면 죽토로 2, 1동 105-1호 (신우희가로아파트)34.913716128.6561992024-02-07
34씨유 거제옥포원룸점경상남도 거제시 국산6길 20, 1층 (옥포동)34.897329128.6940712024-02-07
45리더스클럽경상남도 거제시 옥포대첩로 55, 3층 (옥포동)34.89447128.693522024-02-07
56풍산경상남도 거제시 용소1길 85, 103동 302호 (아주동, 거제아주현진에버빌아파트)34.876487128.6907312024-02-07
67청담엔경상남도 거제시 고현항2로 52, 106동 3004호 (고현동, 이편한세상 거제 유로아일랜드)34.892752128.6188742024-02-07
78지에스25 거제수월스마일점경상남도 거제시 수양로 448-23, 1층 (수월동)34.894208128.6422722024-02-07
89지에스25 거제견내량점경상남도 거제시 사등면 거제남서로 5337, 1층34.882896128.477712024-02-07
910지에스25 거제고현로점경상남도 거제시 고현로 116, 1층 (고현동)34.887348128.6251912024-02-07
순번영업소명소재지위도경도기준일자
350351롯데하이마트(주) 옥포지점경상남도 거제시 거제대로 3710 (옥포동)34.888379128.6922342024-02-07
351352건강의료기경상남도 거제시 고현로 87 (고현동)34.886387128.6223332024-02-07
352353경남미래엠텍경상남도 거제시 연초면 연사3길 7, 101호34.911165128.6453592024-02-07
353354압소바경상남도 거제시 장평로 12, 5층 (장평동, 디큐브백화점)34.891051128.6164052024-02-07
354355홈플러스(주)경상남도 거제시 장평로 12 (장평동)34.891051128.6164052024-02-07
355356거제의료기경상남도 거제시 두모길 3-8, 1,2층 (두모동)34.870782128.721752024-02-07
356357㈜에스와이에스리테일 고현점경상남도 거제시 고현천로 6 (고현동)34.89139128.6240442024-02-07
357358한신브레텍 독일보청기경상남도 거제시 계룡로 98, 지하1층 (고현동)34.87879128.6236322024-02-07
358359디어베이비경상남도 거제시 거제중앙로 1915 (고현동)34.888965128.6224832024-02-07
359360신창의료기기경상남도 거제시 고현로 117 (고현동)34.887904128.6252652024-02-07