Overview

Dataset statistics

Number of variables6
Number of observations330
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.6 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 started2024-04-20 15:02:29.389851
Analysis finished2024-04-20 15:02:32.601483
Duration3.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct330
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.5
Minimum1
Maximum330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-04-21T00:02:32.812099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.45
Q183.25
median165.5
Q3247.75
95-th percentile313.55
Maximum330
Range329
Interquartile range (IQR)164.5

Descriptive statistics

Standard deviation95.407023
Coefficient of variation (CV)0.57647748
Kurtosis-1.2
Mean165.5
Median Absolute Deviation (MAD)82.5
Skewness0
Sum54615
Variance9102.5
MonotonicityStrictly increasing
2024-04-21T00:02:33.164654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
228 1
 
0.3%
226 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
Other values (320) 320
97.0%
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 (%)
330 1
0.3%
329 1
0.3%
328 1
0.3%
327 1
0.3%
326 1
0.3%
325 1
0.3%
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%
Distinct326
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-21T00:02:34.057945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.8606061
Min length2

Characters and Unicode

Total characters3254
Distinct characters290
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

Unique322 ?
Unique (%)97.6%

Sample

1st row지에스(GS)25 거제벽산솔렌스
2nd rowGS25장평중앙점
3rd row(주)이마트에브리데이 거제상동점
4th row바디프랜드 거제점
5th row지에스(GS)25 거제성원점
ValueCountFrequency (%)
씨유 79
 
13.8%
세븐일레븐 43
 
7.5%
gs25 37
 
6.5%
미니스톱 20
 
3.5%
지에스(gs)25 10
 
1.7%
고현점 5
 
0.9%
거제상동점 4
 
0.7%
거제옥포점 4
 
0.7%
거제고현점 4
 
0.7%
이마트24 4
 
0.7%
Other values (325) 363
63.4%
2024-04-21T00:02:35.446538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
255
 
7.8%
243
 
7.5%
188
 
5.8%
180
 
5.5%
97
 
3.0%
85
 
2.6%
85
 
2.6%
68
 
2.1%
2 68
 
2.1%
S 67
 
2.1%
Other values (280) 1918
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2669
82.0%
Space Separator 243
 
7.5%
Uppercase Letter 142
 
4.4%
Decimal Number 137
 
4.2%
Close Punctuation 30
 
0.9%
Open Punctuation 28
 
0.9%
Lowercase Letter 3
 
0.1%
Other Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
255
 
9.6%
188
 
7.0%
180
 
6.7%
97
 
3.6%
85
 
3.2%
85
 
3.2%
68
 
2.5%
62
 
2.3%
59
 
2.2%
55
 
2.1%
Other values (260) 1535
57.5%
Uppercase Letter
ValueCountFrequency (%)
S 67
47.2%
G 65
45.8%
H 3
 
2.1%
R 2
 
1.4%
E 2
 
1.4%
K 1
 
0.7%
F 1
 
0.7%
T 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
2 68
49.6%
5 63
46.0%
4 5
 
3.6%
3 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
c 1
33.3%
e 1
33.3%
u 1
33.3%
Space Separator
ValueCountFrequency (%)
243
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2670
82.1%
Common 439
 
13.5%
Latin 145
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
255
 
9.6%
188
 
7.0%
180
 
6.7%
97
 
3.6%
85
 
3.2%
85
 
3.2%
68
 
2.5%
62
 
2.3%
59
 
2.2%
55
 
2.1%
Other values (261) 1536
57.5%
Latin
ValueCountFrequency (%)
S 67
46.2%
G 65
44.8%
H 3
 
2.1%
R 2
 
1.4%
E 2
 
1.4%
K 1
 
0.7%
c 1
 
0.7%
e 1
 
0.7%
u 1
 
0.7%
F 1
 
0.7%
Common
ValueCountFrequency (%)
243
55.4%
2 68
 
15.5%
5 63
 
14.4%
) 30
 
6.8%
( 28
 
6.4%
4 5
 
1.1%
, 1
 
0.2%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2669
82.0%
ASCII 584
 
17.9%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
255
 
9.6%
188
 
7.0%
180
 
6.7%
97
 
3.6%
85
 
3.2%
85
 
3.2%
68
 
2.5%
62
 
2.3%
59
 
2.2%
55
 
2.1%
Other values (260) 1535
57.5%
ASCII
ValueCountFrequency (%)
243
41.6%
2 68
 
11.6%
S 67
 
11.5%
G 65
 
11.1%
5 63
 
10.8%
) 30
 
5.1%
( 28
 
4.8%
4 5
 
0.9%
H 3
 
0.5%
R 2
 
0.3%
Other values (9) 10
 
1.7%
None
ValueCountFrequency (%)
1
100.0%
Distinct326
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-04-21T00:02:36.722519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length27.675758
Min length18

Characters and Unicode

Total characters9133
Distinct characters222
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

Unique322 ?
Unique (%)97.6%

Sample

1st row경상남도 거제시 상동5길 119,104,105호 (상동동)
2nd row경상남도 거제시 장평3로2길 26,1층 (장평동)
3rd row경상남도 거제시 거제중앙로 1693(상동동)
4th row경상남도 거제시 거제중앙로 1941(고현동)
5th row경상남도 거제시 장평로6길 30,상가101호 (장평동,장평성원임대아파트)
ValueCountFrequency (%)
경상남도 330
 
19.4%
거제시 330
 
19.4%
고현동 53
 
3.1%
옥포동 33
 
1.9%
장평동 31
 
1.8%
거제중앙로 20
 
1.2%
아주동 19
 
1.1%
거제대로 17
 
1.0%
수양로 15
 
0.9%
1층 13
 
0.8%
Other values (547) 844
49.5%
2024-04-21T00:02:38.100186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1375
 
15.1%
1 453
 
5.0%
419
 
4.6%
412
 
4.5%
381
 
4.2%
375
 
4.1%
334
 
3.7%
334
 
3.7%
332
 
3.6%
331
 
3.6%
Other values (212) 4387
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5436
59.5%
Decimal Number 1424
 
15.6%
Space Separator 1375
 
15.1%
Open Punctuation 297
 
3.3%
Close Punctuation 297
 
3.3%
Other Punctuation 227
 
2.5%
Dash Punctuation 58
 
0.6%
Uppercase Letter 16
 
0.2%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
419
 
7.7%
412
 
7.6%
381
 
7.0%
375
 
6.9%
334
 
6.1%
334
 
6.1%
332
 
6.1%
331
 
6.1%
280
 
5.2%
140
 
2.6%
Other values (188) 2098
38.6%
Decimal Number
ValueCountFrequency (%)
1 453
31.8%
2 193
13.6%
3 138
 
9.7%
0 134
 
9.4%
4 131
 
9.2%
5 108
 
7.6%
7 81
 
5.7%
6 75
 
5.3%
8 60
 
4.2%
9 51
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
25.0%
K 2
12.5%
A 2
12.5%
P 2
12.5%
R 2
12.5%
I 2
12.5%
G 1
 
6.2%
L 1
 
6.2%
Space Separator
ValueCountFrequency (%)
1375
100.0%
Open Punctuation
ValueCountFrequency (%)
( 297
100.0%
Close Punctuation
ValueCountFrequency (%)
) 297
100.0%
Other Punctuation
ValueCountFrequency (%)
227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5436
59.5%
Common 3678
40.3%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
419
 
7.7%
412
 
7.6%
381
 
7.0%
375
 
6.9%
334
 
6.1%
334
 
6.1%
332
 
6.1%
331
 
6.1%
280
 
5.2%
140
 
2.6%
Other values (188) 2098
38.6%
Common
ValueCountFrequency (%)
1375
37.4%
1 453
 
12.3%
( 297
 
8.1%
) 297
 
8.1%
227
 
6.2%
2 193
 
5.2%
3 138
 
3.8%
0 134
 
3.6%
4 131
 
3.6%
5 108
 
2.9%
Other values (5) 325
 
8.8%
Latin
ValueCountFrequency (%)
B 4
21.1%
e 3
15.8%
K 2
10.5%
A 2
10.5%
P 2
10.5%
R 2
10.5%
I 2
10.5%
G 1
 
5.3%
L 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5436
59.5%
ASCII 3470
38.0%
None 227
 
2.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1375
39.6%
1 453
 
13.1%
( 297
 
8.6%
) 297
 
8.6%
2 193
 
5.6%
3 138
 
4.0%
0 134
 
3.9%
4 131
 
3.8%
5 108
 
3.1%
7 81
 
2.3%
Other values (13) 263
 
7.6%
Hangul
ValueCountFrequency (%)
419
 
7.7%
412
 
7.6%
381
 
7.0%
375
 
6.9%
334
 
6.1%
334
 
6.1%
332
 
6.1%
331
 
6.1%
280
 
5.2%
140
 
2.6%
Other values (188) 2098
38.6%
None
ValueCountFrequency (%)
227
100.0%

위도
Real number (ℝ)

Distinct307
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.883866
Minimum34.737277
Maximum34.987449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-04-21T00:02:38.518317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.737277
5-th percentile34.849566
Q134.873833
median34.889039
Q334.892978
95-th percentile34.90887
Maximum34.987449
Range0.25017216
Interquartile range (IQR)0.019145022

Descriptive statistics

Standard deviation0.023327199
Coefficient of variation (CV)0.00066871026
Kurtosis10.10691
Mean34.883866
Median Absolute Deviation (MAD)0.006195775
Skewness-0.98379642
Sum11511.676
Variance0.00054415822
MonotonicityNot monotonic
2024-04-21T00:02:38.952769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.8910509 5
 
1.5%
34.88963273 2
 
0.6%
34.87383305 2
 
0.6%
34.89186283 2
 
0.6%
34.89026208 2
 
0.6%
34.87365042 2
 
0.6%
34.87195161 2
 
0.6%
34.88299741 2
 
0.6%
34.89086026 2
 
0.6%
34.87461321 2
 
0.6%
Other values (297) 307
93.0%
ValueCountFrequency (%)
34.73727711 1
0.3%
34.77275962 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%
34.82902844 1
0.3%
34.83126209 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%
34.93517314 1
0.3%
34.93417681 1
0.3%
34.93290388 1
0.3%
34.92115763 1
0.3%
34.91775914 1
0.3%

경도
Real number (ℝ)

Distinct307
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.64994
Minimum128.4778
Maximum128.73838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-04-21T00:02:39.371466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.4778
5-th percentile128.59726
Q1128.62126
median128.63487
Q3128.6904
95-th percentile128.7294
Maximum128.73838
Range0.26058
Interquartile range (IQR)0.069142075

Descriptive statistics

Standard deviation0.044925531
Coefficient of variation (CV)0.00034920756
Kurtosis0.17872363
Mean128.64994
Median Absolute Deviation (MAD)0.02513435
Skewness-0.08418472
Sum42454.48
Variance0.0020183034
MonotonicityNot monotonic
2024-04-21T00:02:39.803891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6164053 5
 
1.5%
128.6952972 2
 
0.6%
128.7315884 2
 
0.6%
128.6055472 2
 
0.6%
128.6243422 2
 
0.6%
128.6256274 2
 
0.6%
128.7221212 2
 
0.6%
128.5898931 2
 
0.6%
128.6131107 2
 
0.6%
128.7307749 2
 
0.6%
Other values (297) 307
93.0%
ValueCountFrequency (%)
128.4777954 1
0.3%
128.5116764 1
0.3%
128.5161916 1
0.3%
128.522868 1
0.3%
128.5228787 1
0.3%
128.5472867 1
0.3%
128.5541737 1
0.3%
128.563729 1
0.3%
128.5673079 1
0.3%
128.5684023 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 2
0.6%
128.732522 1
0.3%
128.732066 1
0.3%
128.7319022 1
0.3%
128.7315884 2
0.6%
128.7315108 1
0.3%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2022-09-23
330 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-23
2nd row2022-09-23
3rd row2022-09-23
4th row2022-09-23
5th row2022-09-23

Common Values

ValueCountFrequency (%)
2022-09-23 330
100.0%

Length

2024-04-21T00:02:40.216385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T00:02:40.449119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-23 330
100.0%

Interactions

2024-04-21T00:02:31.292043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:02:29.937342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:02:30.596989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:02:31.444910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:02:30.172018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:02:30.827443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:02:31.799542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:02:30.417821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T00:02:31.061722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T00:02:40.718802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.0000.1420.161
위도0.1421.0000.418
경도0.1610.4181.000
2024-04-21T00:02:40.985123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.0000.0370.027
위도0.0371.000-0.207
경도0.027-0.2071.000

Missing values

2024-04-21T00:02:32.126469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T00:02:32.471072image/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
01지에스(GS)25 거제벽산솔렌스경상남도 거제시 상동5길 119,104,105호 (상동동)34.860967128.6290532022-09-23
12GS25장평중앙점경상남도 거제시 장평3로2길 26,1층 (장평동)34.889632128.6118322022-09-23
23(주)이마트에브리데이 거제상동점경상남도 거제시 거제중앙로 1693(상동동)34.871505128.6342082022-09-23
34바디프랜드 거제점경상남도 거제시 거제중앙로 1941(고현동)34.890989128.6215252022-09-23
45지에스(GS)25 거제성원점경상남도 거제시 장평로6길 30,상가101호 (장평동,장평성원임대아파트)34.893381128.6136982022-09-23
56GS25 아주신도시점경상남도 거제시 아주로 74,1층 (아주동)34.864916128.6870612022-09-23
67네남자의맘경상남도 거제시 중곡로 42,116동 501호 (고현동,덕산베스트타운)34.896798128.6330472022-09-23
78지에스(GS)25 옥포국산점경상남도 거제시 국산2길 1(옥포동)34.897014128.6924052022-09-23
89지에스(GS)25 거제고현원룸점경상남도 거제시 고현로 65-1,1층 (고현동)34.885766128.6204032022-09-23
910지에스(GS)25장승포항구점경상남도 거제시 장승포로 2,나동 1층 (장승포동)34.86723128.7248252022-09-23
순번영업소명소재지위도경도기준일자
320321경남미래엠텍경상남도 거제시 연초면 연사3길 7,101호34.911165128.6453592022-09-23
321322압소바경상남도 거제시 장평로 12,5층 (장평동,디큐브백화점)34.891051128.6164052022-09-23
322323홈플러스(주)경상남도 거제시 장평로 12 (장평동)34.891051128.6164052022-09-23
323324디큐브아가방경상남도 거제시 장평로 12 (장평동)34.891051128.6164052022-09-23
324325거제의료기경상남도 거제시 두모길 3-8,1,2층 (두모동)34.870782128.721752022-09-23
325326㈜에스와이에스리테일 고현점경상남도 거제시 고현천로 6 (고현동)34.89139128.6240442022-09-23
326327한신브레텍 독일보청기경상남도 거제시 계룡로 98,지하1층 (고현동)34.87879128.6236322022-09-23
327328디어베이비경상남도 거제시 거제중앙로 1915 (고현동)34.888965128.6224832022-09-23
328329베베앙슈경상남도 거제시 장평로 37 (장평동)34.89086128.6131112022-09-23
329330신창의료기기경상남도 거제시 고현로 117 (고현동)34.887904128.6252652022-09-23