Overview

Dataset statistics

Number of variables5
Number of observations267
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.8 KiB
Average record size in memory41.5 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description경상남도 사천시 종량제봉투 판매소 현황 자료로 판매소명, 읍면동, 사업장의 주소, 데이터기준일 을 포함하고 있습니다.
Author경상남도 사천시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15114267

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
판매소명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:12:53.303232
Analysis finished2023-12-11 00:12:53.825654
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct267
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134
Minimum1
Maximum267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T09:12:53.947511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.3
Q167.5
median134
Q3200.5
95-th percentile253.7
Maximum267
Range266
Interquartile range (IQR)133

Descriptive statistics

Standard deviation77.220464
Coefficient of variation (CV)0.57627212
Kurtosis-1.2
Mean134
Median Absolute Deviation (MAD)67
Skewness0
Sum35778
Variance5963
MonotonicityStrictly increasing
2023-12-11T09:12:54.109866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
185 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
176 1
 
0.4%
177 1
 
0.4%
178 1
 
0.4%
Other values (257) 257
96.3%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%
263 1
0.4%
262 1
0.4%
261 1
0.4%
260 1
0.4%
259 1
0.4%
258 1
0.4%

판매소명
Text

UNIQUE 

Distinct267
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T09:12:54.327759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.7003745
Min length2

Characters and Unicode

Total characters2323
Distinct characters266
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique267 ?
Unique (%)100.0%

Sample

1st row영남철물
2nd row운화철물공구백화점
3rd row이마트사천호텔점
4th row남문철물상회
5th row부흥종합 농자재 철물상사
ValueCountFrequency (%)
씨유 30
 
8.1%
세븐일레븐 17
 
4.6%
gs25 10
 
2.7%
이마트24 6
 
1.6%
사천점 6
 
1.6%
씨스페이스 4
 
1.1%
지에스25 3
 
0.8%
지에스(gs)25 3
 
0.8%
사천대로점 3
 
0.8%
사천바다점 2
 
0.5%
Other values (279) 286
77.3%
2023-12-11T09:12:54.743093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 160
 
6.9%
사 160
 
6.9%
천 156
 
6.7%
103
 
4.4%
마 60
 
2.6%
트 60
 
2.6%
유 55
 
2.4%
씨 54
 
2.3%
븐 53
 
2.3%
2 51
 
2.2%
Other values (256) 1411
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1976
85.1%
Decimal Number 105
 
4.5%
Space Separator 103
 
4.4%
Uppercase Letter 88
 
3.8%
Open Punctuation 25
 
1.1%
Close Punctuation 25
 
1.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 160
 
8.1%
사 160
 
8.1%
천 156
 
7.9%
마 60
 
3.0%
트 60
 
3.0%
유 55
 
2.8%
씨 54
 
2.7%
븐 53
 
2.7%
스 42
 
2.1%
일 37
 
1.9%
Other values (237) 1139
57.6%
Uppercase Letter
ValueCountFrequency (%)
S 34
38.6%
G 33
37.5%
C 8
 
9.1%
K 5
 
5.7%
U 2
 
2.3%
D 2
 
2.3%
I 1
 
1.1%
O 1
 
1.1%
N 1
 
1.1%
L 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 51
48.6%
5 41
39.0%
4 11
 
10.5%
6 1
 
1.0%
3 1
 
1.0%
Space Separator
ValueCountFrequency (%)
103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1976
85.1%
Common 259
 
11.1%
Latin 88
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 160
 
8.1%
사 160
 
8.1%
천 156
 
7.9%
마 60
 
3.0%
트 60
 
3.0%
유 55
 
2.8%
씨 54
 
2.7%
븐 53
 
2.7%
스 42
 
2.1%
일 37
 
1.9%
Other values (237) 1139
57.6%
Latin
ValueCountFrequency (%)
S 34
38.6%
G 33
37.5%
C 8
 
9.1%
K 5
 
5.7%
U 2
 
2.3%
D 2
 
2.3%
I 1
 
1.1%
O 1
 
1.1%
N 1
 
1.1%
L 1
 
1.1%
Common
ValueCountFrequency (%)
103
39.8%
2 51
19.7%
5 41
 
15.8%
( 25
 
9.7%
) 25
 
9.7%
4 11
 
4.2%
6 1
 
0.4%
3 1
 
0.4%
. 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1976
85.1%
ASCII 347
 
14.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 160
 
8.1%
사 160
 
8.1%
천 156
 
7.9%
마 60
 
3.0%
트 60
 
3.0%
유 55
 
2.8%
씨 54
 
2.7%
븐 53
 
2.7%
스 42
 
2.1%
일 37
 
1.9%
Other values (237) 1139
57.6%
ASCII
ValueCountFrequency (%)
103
29.7%
2 51
14.7%
5 41
 
11.8%
S 34
 
9.8%
G 33
 
9.5%
( 25
 
7.2%
) 25
 
7.2%
4 11
 
3.2%
C 8
 
2.3%
K 5
 
1.4%
Other values (9) 11
 
3.2%

읍면동
Categorical

Distinct14
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
사천읍
57 
벌용동
40 
사남면
30 
동서금동
24 
동서동
20 
Other values (9)
96 

Length

Max length4
Median length3
Mean length3.0898876
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row벌용동
2nd row사천읍
3rd row사천읍
4th row곤양면
5th row남양동

Common Values

ValueCountFrequency (%)
사천읍 57
21.3%
벌용동 40
15.0%
사남면 30
11.2%
동서금동 24
9.0%
동서동 20
 
7.5%
정동면 17
 
6.4%
향촌동 16
 
6.0%
선구동 15
 
5.6%
용현면 12
 
4.5%
남양동 11
 
4.1%
Other values (4) 25
9.4%

Length

2023-12-11T09:12:54.890001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사천읍 57
21.3%
벌용동 40
15.0%
사남면 30
11.2%
동서금동 24
9.0%
동서동 20
 
7.5%
정동면 17
 
6.4%
향촌동 16
 
6.0%
선구동 15
 
5.6%
용현면 12
 
4.5%
남양동 11
 
4.1%
Other values (4) 25
9.4%

주소
Text

Distinct220
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T09:12:55.108834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length16.400749
Min length4

Characters and Unicode

Total characters4379
Distinct characters133
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

Unique203 ?
Unique (%)76.0%

Sample

1st row경남 사천시 벌리동
2nd row경남 사천시 사천읍 수석리 184-2
3rd row경남 사천시 사천읍 수석리 348-26
4th row경남 사천시 곤양면 남문외리 62-7
5th row경남 사천시 죽림동 830-1
ValueCountFrequency (%)
사천시 262
23.4%
경남 209
18.7%
사천읍 57
 
5.1%
경상남도 47
 
4.2%
사남면 30
 
2.7%
벌리동 27
 
2.4%
정동면 17
 
1.5%
동금동 15
 
1.3%
용현면 12
 
1.1%
향촌동 12
 
1.1%
Other values (270) 432
38.6%
2023-12-11T09:12:55.600606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
897
20.5%
사 367
 
8.4%
천 340
 
7.8%
남 297
 
6.8%
시 264
 
6.0%
경 256
 
5.8%
동 148
 
3.4%
리 138
 
3.2%
1 127
 
2.9%
- 116
 
2.6%
Other values (123) 1429
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2675
61.1%
Space Separator 897
 
20.5%
Decimal Number 677
 
15.5%
Dash Punctuation 116
 
2.6%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 367
13.7%
천 340
12.7%
남 297
11.1%
시 264
 
9.9%
경 256
 
9.6%
동 148
 
5.5%
리 138
 
5.2%
면 83
 
3.1%
읍 66
 
2.5%
도 49
 
1.8%
Other values (107) 667
24.9%
Decimal Number
ValueCountFrequency (%)
1 127
18.8%
2 80
11.8%
4 77
11.4%
3 74
10.9%
5 59
8.7%
9 57
8.4%
8 54
8.0%
0 51
7.5%
6 50
 
7.4%
7 48
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
/ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
897
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2675
61.1%
Common 1704
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 367
13.7%
천 340
12.7%
남 297
11.1%
시 264
 
9.9%
경 256
 
9.6%
동 148
 
5.5%
리 138
 
5.2%
면 83
 
3.1%
읍 66
 
2.5%
도 49
 
1.8%
Other values (107) 667
24.9%
Common
ValueCountFrequency (%)
897
52.6%
1 127
 
7.5%
- 116
 
6.8%
2 80
 
4.7%
4 77
 
4.5%
3 74
 
4.3%
5 59
 
3.5%
9 57
 
3.3%
8 54
 
3.2%
0 51
 
3.0%
Other values (6) 112
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2675
61.1%
ASCII 1704
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
897
52.6%
1 127
 
7.5%
- 116
 
6.8%
2 80
 
4.7%
4 77
 
4.5%
3 74
 
4.3%
5 59
 
3.5%
9 57
 
3.3%
8 54
 
3.2%
0 51
 
3.0%
Other values (6) 112
 
6.6%
Hangul
ValueCountFrequency (%)
사 367
13.7%
천 340
12.7%
남 297
11.1%
시 264
 
9.9%
경 256
 
9.6%
동 148
 
5.5%
리 138
 
5.2%
면 83
 
3.1%
읍 66
 
2.5%
도 49
 
1.8%
Other values (107) 667
24.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-10-27
267 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-27
2nd row2023-10-27
3rd row2023-10-27
4th row2023-10-27
5th row2023-10-27

Common Values

ValueCountFrequency (%)
2023-10-27 267
100.0%

Length

2023-12-11T09:12:55.783524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:12:55.888742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-27 267
100.0%

Interactions

2023-12-11T09:12:53.572206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:12:55.947712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동
연번1.0000.277
읍면동0.2771.000
2023-12-11T09:12:56.046908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번읍면동
연번1.0000.113
읍면동0.1131.000

Missing values

2023-12-11T09:12:53.681960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:12:53.780903image/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

연번판매소명읍면동주소데이터기준일자
01영남철물벌용동경남 사천시 벌리동2023-10-27
12운화철물공구백화점사천읍경남 사천시 사천읍 수석리 184-22023-10-27
23이마트사천호텔점사천읍경남 사천시 사천읍 수석리 348-262023-10-27
34남문철물상회곤양면경남 사천시 곤양면 남문외리 62-72023-10-27
45부흥종합 농자재 철물상사남양동경남 사천시 죽림동 830-12023-10-27
56우리들푸드사남면경상남도 사천시 사남면 공단5로 242023-10-27
67이안애마트사천읍경남 사천시 사천읍 구암리2023-10-27
78투데이마트사천읍경남 사천시 사천읍 선인리2023-10-27
89대양선박철물동서금동경남 사천시 동금동 329-12023-10-27
910세븐일레븐 삼천포제일병원점벌용동경상남도 사천시 중앙로 1362023-10-27
연번판매소명읍면동주소데이터기준일자
257258세븐일레븐 사천옥성그린점사천읍경상남도 사천시 사천읍 두량로 30-1,옥성그린상가2023-10-27
258259세븐일레븐사천사주리점사천읍경남 사천시 사천읍 사주리 10-412023-10-27
259260씨유 사천대경점사천읍경남 사천시 사천읍 선인리 2132023-10-27
260261씨유 사천선인점사천읍경남 사천시 사천읍 선인리2023-10-27
261262씨유 신사천중앙점사천읍경남 사천시 사천읍 선인리2023-10-27
262263애플마트사천읍경남 사천시 사천읍 정의리2023-10-27
263264제이원마트사천읍경남 사천시 사천읍 평화리 702023-10-27
264265판다팜 사천점사천읍경상남도 사천시 사천읍 항공로 82023-10-27
265266세븐일레븐 삼천포핫플레이스점벌용동경남 사천시 벌리동 257-12023-10-27
266267데이앤데이 사천만남의 광장축동면경남 사천시 축동면 사다리 302023-10-27