Overview

Dataset statistics

Number of variables4
Number of observations303
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory33.4 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description통영시 종량제봉투 판매점 현황 정보입니다. 분기 갱신 자료이며 상호명과 주소 및 행정구역의 정보를 포함하고 있습니다.
Author경상남도 통영시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15100282

Alerts

연번 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:25:29.440272
Analysis finished2023-12-10 23:25:29.965002
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct303
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152
Minimum1
Maximum303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-11T08:25:30.033839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.1
Q176.5
median152
Q3227.5
95-th percentile287.9
Maximum303
Range302
Interquartile range (IQR)151

Descriptive statistics

Standard deviation87.612784
Coefficient of variation (CV)0.5763999
Kurtosis-1.2
Mean152
Median Absolute Deviation (MAD)76
Skewness0
Sum46056
Variance7676
MonotonicityStrictly increasing
2023-12-11T08:25:30.212763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
201 1
 
0.3%
208 1
 
0.3%
207 1
 
0.3%
206 1
 
0.3%
205 1
 
0.3%
204 1
 
0.3%
203 1
 
0.3%
202 1
 
0.3%
200 1
 
0.3%
Other values (293) 293
96.7%
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 (%)
303 1
0.3%
302 1
0.3%
301 1
0.3%
300 1
0.3%
299 1
0.3%
298 1
0.3%
297 1
0.3%
296 1
0.3%
295 1
0.3%
294 1
0.3%

상호명
Text

Distinct302
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T08:25:30.452353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length18
Mean length9.1584158
Min length3

Characters and Unicode

Total characters2775
Distinct characters288
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique301 ?
Unique (%)99.3%

Sample

1st rowCU-통영산양일주로점
2nd rowCU-푸른바다풍차점
3rd row곤리 구판장
4th row달아낚시&씨유통영달아점
5th row달아슈퍼
ValueCountFrequency (%)
세븐일레븐 17
 
4.2%
씨유 7
 
1.7%
이마트24 6
 
1.5%
새통영농협하나로마트 5
 
1.2%
gs25 5
 
1.2%
통영점 3
 
0.7%
통영농협하나로마트 3
 
0.7%
통영 3
 
0.7%
죽림점 3
 
0.7%
cu 3
 
0.7%
Other values (340) 347
86.3%
2023-12-11T08:25:30.814452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 174
 
6.3%
영 150
 
5.4%
통 150
 
5.4%
131
 
4.7%
마 87
 
3.1%
트 81
 
2.9%
븐 67
 
2.4%
2 52
 
1.9%
일 48
 
1.7%
- 45
 
1.6%
Other values (278) 1790
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2246
80.9%
Uppercase Letter 133
 
4.8%
Space Separator 131
 
4.7%
Decimal Number 102
 
3.7%
Dash Punctuation 45
 
1.6%
Connector Punctuation 41
 
1.5%
Close Punctuation 35
 
1.3%
Open Punctuation 35
 
1.3%
Other Punctuation 4
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 174
 
7.7%
영 150
 
6.7%
통 150
 
6.7%
마 87
 
3.9%
트 81
 
3.6%
븐 67
 
3.0%
일 48
 
2.1%
유 43
 
1.9%
씨 37
 
1.6%
세 36
 
1.6%
Other values (249) 1373
61.1%
Uppercase Letter
ValueCountFrequency (%)
G 34
25.6%
S 33
24.8%
C 28
21.1%
U 26
19.5%
L 2
 
1.5%
H 2
 
1.5%
R 2
 
1.5%
I 1
 
0.8%
D 1
 
0.8%
M 1
 
0.8%
Other values (3) 3
 
2.3%
Decimal Number
ValueCountFrequency (%)
2 52
51.0%
5 32
31.4%
4 16
 
15.7%
7 1
 
1.0%
1 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
. 1
25.0%
& 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
s 1
33.3%
g 1
33.3%
Space Separator
ValueCountFrequency (%)
131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2246
80.9%
Common 393
 
14.2%
Latin 136
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 174
 
7.7%
영 150
 
6.7%
통 150
 
6.7%
마 87
 
3.9%
트 81
 
3.6%
븐 67
 
3.0%
일 48
 
2.1%
유 43
 
1.9%
씨 37
 
1.6%
세 36
 
1.6%
Other values (249) 1373
61.1%
Latin
ValueCountFrequency (%)
G 34
25.0%
S 33
24.3%
C 28
20.6%
U 26
19.1%
L 2
 
1.5%
H 2
 
1.5%
R 2
 
1.5%
I 1
 
0.7%
D 1
 
0.7%
e 1
 
0.7%
Other values (6) 6
 
4.4%
Common
ValueCountFrequency (%)
131
33.3%
2 52
 
13.2%
- 45
 
11.5%
_ 41
 
10.4%
) 35
 
8.9%
( 35
 
8.9%
5 32
 
8.1%
4 16
 
4.1%
, 2
 
0.5%
. 1
 
0.3%
Other values (3) 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2246
80.9%
ASCII 529
 
19.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 174
 
7.7%
영 150
 
6.7%
통 150
 
6.7%
마 87
 
3.9%
트 81
 
3.6%
븐 67
 
3.0%
일 48
 
2.1%
유 43
 
1.9%
씨 37
 
1.6%
세 36
 
1.6%
Other values (249) 1373
61.1%
ASCII
ValueCountFrequency (%)
131
24.8%
2 52
 
9.8%
- 45
 
8.5%
_ 41
 
7.8%
) 35
 
6.6%
( 35
 
6.6%
G 34
 
6.4%
S 33
 
6.2%
5 32
 
6.0%
C 28
 
5.3%
Other values (19) 63
11.9%

행정동
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
광도면
64 
정량동
40 
무전동
32 
산양읍
24 
중앙동
24 
Other values (10)
119 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산양읍
2nd row산양읍
3rd row산양읍
4th row산양읍
5th row산양읍

Common Values

ValueCountFrequency (%)
광도면 64
21.1%
정량동 40
13.2%
무전동 32
10.6%
산양읍 24
 
7.9%
중앙동 24
 
7.9%
봉평동 24
 
7.9%
도천동 21
 
6.9%
미수동 17
 
5.6%
용남면 16
 
5.3%
북신동 13
 
4.3%
Other values (5) 28
9.2%

Length

2023-12-11T08:25:30.969587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
광도면 64
21.1%
정량동 40
13.2%
무전동 32
10.6%
산양읍 24
 
7.9%
중앙동 24
 
7.9%
봉평동 24
 
7.9%
도천동 21
 
6.9%
미수동 17
 
5.6%
용남면 16
 
5.3%
북신동 13
 
4.3%
Other values (5) 28
9.2%

지번 주소
Text

Distinct292
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
2023-12-11T08:25:31.319499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length11.075908
Min length3

Characters and Unicode

Total characters3356
Distinct characters100
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique281 ?
Unique (%)92.7%

Sample

1st row산양읍 삼덕리 548
2nd row산양읍 연화리 699-3
3rd row산양읍 곤리리 206-4
4th row산양읍 미남리 723-9
5th row산양읍 미남리 802
ValueCountFrequency (%)
광도면 64
 
8.5%
죽림리 51
 
6.8%
무전동 31
 
4.1%
정량동 26
 
3.4%
산양읍 24
 
3.2%
미수동 17
 
2.3%
용남면 16
 
2.1%
도남동 15
 
2.0%
동호동 14
 
1.9%
항남동 13
 
1.7%
Other values (344) 484
64.1%
2023-12-11T08:25:31.809399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
453
 
13.5%
1 284
 
8.5%
- 235
 
7.0%
동 205
 
6.1%
2 147
 
4.4%
5 139
 
4.1%
3 132
 
3.9%
리 123
 
3.7%
4 121
 
3.6%
7 110
 
3.3%
Other values (90) 1407
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1357
40.4%
Decimal Number 1299
38.7%
Space Separator 453
 
13.5%
Dash Punctuation 235
 
7.0%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 205
 
15.1%
리 123
 
9.1%
도 98
 
7.2%
면 97
 
7.1%
광 64
 
4.7%
남 61
 
4.5%
림 51
 
3.8%
죽 51
 
3.8%
평 42
 
3.1%
정 36
 
2.7%
Other values (76) 529
39.0%
Decimal Number
ValueCountFrequency (%)
1 284
21.9%
2 147
11.3%
5 139
10.7%
3 132
10.2%
4 121
9.3%
7 110
 
8.5%
6 101
 
7.8%
0 98
 
7.5%
9 97
 
7.5%
8 70
 
5.4%
Space Separator
ValueCountFrequency (%)
453
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 235
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1999
59.6%
Hangul 1357
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 205
 
15.1%
리 123
 
9.1%
도 98
 
7.2%
면 97
 
7.1%
광 64
 
4.7%
남 61
 
4.5%
림 51
 
3.8%
죽 51
 
3.8%
평 42
 
3.1%
정 36
 
2.7%
Other values (76) 529
39.0%
Common
ValueCountFrequency (%)
453
22.7%
1 284
14.2%
- 235
11.8%
2 147
 
7.4%
5 139
 
7.0%
3 132
 
6.6%
4 121
 
6.1%
7 110
 
5.5%
6 101
 
5.1%
0 98
 
4.9%
Other values (4) 179
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1999
59.6%
Hangul 1357
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
453
22.7%
1 284
14.2%
- 235
11.8%
2 147
 
7.4%
5 139
 
7.0%
3 132
 
6.6%
4 121
 
6.1%
7 110
 
5.5%
6 101
 
5.1%
0 98
 
4.9%
Other values (4) 179
 
9.0%
Hangul
ValueCountFrequency (%)
동 205
 
15.1%
리 123
 
9.1%
도 98
 
7.2%
면 97
 
7.1%
광 64
 
4.7%
남 61
 
4.5%
림 51
 
3.8%
죽 51
 
3.8%
평 42
 
3.1%
정 36
 
2.7%
Other values (76) 529
39.0%

Interactions

2023-12-11T08:25:29.672349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:25:31.909040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.967
행정동0.9671.000
2023-12-11T08:25:31.989697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.796
행정동0.7961.000

Missing values

2023-12-11T08:25:29.843132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:25:29.934384image/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

연번상호명행정동지번 주소
01CU-통영산양일주로점산양읍산양읍 삼덕리 548
12CU-푸른바다풍차점산양읍산양읍 연화리 699-3
23곤리 구판장산양읍산양읍 곤리리 206-4
34달아낚시&씨유통영달아점산양읍산양읍 미남리 723-9
45달아슈퍼산양읍산양읍 미남리 802
56미끼천국산양읍산양읍 남평리 1322-4
67미조 구판장산양읍산양읍 추도리 450-3
78산양농협하나로마트산양읍산양읍 남평리 1382-4
89산양매점산양읍산양읍 남평리 841-14
910삼덕낚시마트산양읍산양읍 삼덕리 370
연번상호명행정동지번 주소
293294씨유통영도경점봉평동도남동 494-13
294295씨유통영도남사랑점봉평동도남동 516-27
295296씨유통영도남점봉평동도남동 201-15
296297오케이할인마트봉평동도남동 361-6
297298우리마트(도남동)봉평동도남동 361-1
298299이마트24(통영베이콘도호텔지점)봉평동도남동 201-13
299300이마트24-통영루지점봉평동도남동 572-10
300301좋은 편의점봉평동통영시 봉평동 62-9
301302크린에이스봉평동도남동 484-4
302303한려슈퍼(도남주공)봉평동도남동 483-2