Overview

Dataset statistics

Number of variables3
Number of observations355
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory25.4 B

Variable types

Numeric1
Text2

Dataset

Description부산광역시북구_쓰레기종량제봉투판매소등록현황_20230913
Author부산광역시 북구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3069354

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:41:45.035247
Analysis finished2023-12-10 16:41:45.799019
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct355
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178
Minimum1
Maximum355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T01:41:45.918569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.7
Q189.5
median178
Q3266.5
95-th percentile337.3
Maximum355
Range354
Interquartile range (IQR)177

Descriptive statistics

Standard deviation102.62391
Coefficient of variation (CV)0.57653881
Kurtosis-1.2
Mean178
Median Absolute Deviation (MAD)89
Skewness0
Sum63190
Variance10531.667
MonotonicityStrictly increasing
2023-12-11T01:41:46.150061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
224 1
 
0.3%
244 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
241 1
 
0.3%
240 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
Other values (345) 345
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 (%)
355 1
0.3%
354 1
0.3%
353 1
0.3%
352 1
0.3%
351 1
0.3%
350 1
0.3%
349 1
0.3%
348 1
0.3%
347 1
0.3%
346 1
0.3%

판매소명
Text

Distinct346
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T01:41:46.535863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length10.583099
Min length5

Characters and Unicode

Total characters3757
Distinct characters307
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

Unique340 ?
Unique (%)95.8%

Sample

1st row 따봉슈퍼
2nd row 영선상회
3rd row 그랜드마트 구포점
4th row (주)지에스리테일 구포점
5th row 유정스토어
ValueCountFrequency (%)
씨유 46
 
8.8%
gs25 31
 
6.0%
세븐일레븐 15
 
2.9%
지에스(gs)25 11
 
2.1%
이마트24 8
 
1.5%
화명점 5
 
1.0%
탑플러스마트 5
 
1.0%
주)코리아세븐 4
 
0.8%
덕천점 4
 
0.8%
만덕점 4
 
0.8%
Other values (358) 388
74.5%
2023-12-11T01:41:47.153789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
878
23.4%
점 196
 
5.2%
마 123
 
3.3%
트 114
 
3.0%
2 82
 
2.2%
덕 69
 
1.8%
유 66
 
1.8%
5 64
 
1.7%
스 61
 
1.6%
씨 59
 
1.6%
Other values (297) 2045
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2437
64.9%
Space Separator 878
 
23.4%
Decimal Number 165
 
4.4%
Uppercase Letter 142
 
3.8%
Close Punctuation 56
 
1.5%
Open Punctuation 56
 
1.5%
Lowercase Letter 18
 
0.5%
Dash Punctuation 3
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 196
 
8.0%
마 123
 
5.0%
트 114
 
4.7%
덕 69
 
2.8%
유 66
 
2.7%
스 61
 
2.5%
씨 59
 
2.4%
화 59
 
2.4%
명 58
 
2.4%
구 51
 
2.1%
Other values (262) 1581
64.9%
Uppercase Letter
ValueCountFrequency (%)
S 58
40.8%
G 58
40.8%
C 9
 
6.3%
U 4
 
2.8%
D 3
 
2.1%
K 2
 
1.4%
E 2
 
1.4%
O 1
 
0.7%
H 1
 
0.7%
F 1
 
0.7%
Other values (3) 3
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
u 3
16.7%
s 2
11.1%
e 2
11.1%
r 2
11.1%
c 2
11.1%
k 2
11.1%
l 1
 
5.6%
p 1
 
5.6%
t 1
 
5.6%
a 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 82
49.7%
5 64
38.8%
4 15
 
9.1%
3 2
 
1.2%
7 1
 
0.6%
1 1
 
0.6%
Space Separator
ValueCountFrequency (%)
878
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2437
64.9%
Common 1160
30.9%
Latin 160
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 196
 
8.0%
마 123
 
5.0%
트 114
 
4.7%
덕 69
 
2.8%
유 66
 
2.7%
스 61
 
2.5%
씨 59
 
2.4%
화 59
 
2.4%
명 58
 
2.4%
구 51
 
2.1%
Other values (262) 1581
64.9%
Latin
ValueCountFrequency (%)
S 58
36.2%
G 58
36.2%
C 9
 
5.6%
U 4
 
2.5%
u 3
 
1.9%
D 3
 
1.9%
K 2
 
1.2%
s 2
 
1.2%
e 2
 
1.2%
r 2
 
1.2%
Other values (14) 17
 
10.6%
Common
ValueCountFrequency (%)
878
75.7%
2 82
 
7.1%
5 64
 
5.5%
) 56
 
4.8%
( 56
 
4.8%
4 15
 
1.3%
- 3
 
0.3%
3 2
 
0.2%
. 2
 
0.2%
7 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2437
64.9%
ASCII 1320
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
878
66.5%
2 82
 
6.2%
5 64
 
4.8%
S 58
 
4.4%
G 58
 
4.4%
) 56
 
4.2%
( 56
 
4.2%
4 15
 
1.1%
C 9
 
0.7%
U 4
 
0.3%
Other values (25) 40
 
3.0%
Hangul
ValueCountFrequency (%)
점 196
 
8.0%
마 123
 
5.0%
트 114
 
4.7%
덕 69
 
2.8%
유 66
 
2.7%
스 61
 
2.5%
씨 59
 
2.4%
화 59
 
2.4%
명 58
 
2.4%
구 51
 
2.1%
Other values (262) 1581
64.9%

판매소 주소
Text

Distinct353
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T01:41:47.504307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length49
Mean length30.639437
Min length17

Characters and Unicode

Total characters10877
Distinct characters213
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

Unique351 ?
Unique (%)98.9%

Sample

1st row 부산광역시 북구 구포시장길 62 (구포동)
2nd row 부산 북구 가람로 52번길 94
3rd row 낙동대로1762번길 55, 서원하이츠빌라1,2층일부(구포)
4th row 부산광역시 북구 낙동대로1780번길 106(구포동)
5th row 부산광역시 북구 구포만세길 107(구포동)
ValueCountFrequency (%)
북구 329
 
18.4%
부산광역시 316
 
17.7%
구포동 53
 
3.0%
1층 52
 
2.9%
만덕동 31
 
1.7%
화명동 28
 
1.6%
덕천동 19
 
1.1%
금곡동 17
 
1.0%
금곡대로 17
 
1.0%
화명신도시로 15
 
0.8%
Other values (594) 910
50.9%
2023-12-11T01:41:48.089100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2392
22.0%
1 472
 
4.3%
구 447
 
4.1%
동 413
 
3.8%
시 370
 
3.4%
( 347
 
3.2%
산 344
 
3.2%
) 344
 
3.2%
북 335
 
3.1%
로 330
 
3.0%
Other values (203) 5083
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5960
54.8%
Space Separator 2392
22.0%
Decimal Number 1665
 
15.3%
Open Punctuation 347
 
3.2%
Close Punctuation 344
 
3.2%
Other Punctuation 116
 
1.1%
Dash Punctuation 31
 
0.3%
Uppercase Letter 14
 
0.1%
Math Symbol 5
 
< 0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 447
 
7.5%
동 413
 
6.9%
시 370
 
6.2%
산 344
 
5.8%
북 335
 
5.6%
로 330
 
5.5%
부 329
 
5.5%
역 317
 
5.3%
광 316
 
5.3%
덕 232
 
3.9%
Other values (178) 2527
42.4%
Decimal Number
ValueCountFrequency (%)
1 472
28.3%
2 220
13.2%
0 192
11.5%
3 162
 
9.7%
4 125
 
7.5%
6 121
 
7.3%
7 116
 
7.0%
5 102
 
6.1%
8 88
 
5.3%
9 67
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
21.4%
G 3
21.4%
M 2
14.3%
B 2
14.3%
L 1
 
7.1%
H 1
 
7.1%
S 1
 
7.1%
C 1
 
7.1%
Space Separator
ValueCountFrequency (%)
2392
100.0%
Open Punctuation
ValueCountFrequency (%)
( 347
100.0%
Close Punctuation
ValueCountFrequency (%)
) 344
100.0%
Other Punctuation
ValueCountFrequency (%)
, 116
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5960
54.8%
Common 4900
45.0%
Latin 17
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 447
 
7.5%
동 413
 
6.9%
시 370
 
6.2%
산 344
 
5.8%
북 335
 
5.6%
로 330
 
5.5%
부 329
 
5.5%
역 317
 
5.3%
광 316
 
5.3%
덕 232
 
3.9%
Other values (178) 2527
42.4%
Common
ValueCountFrequency (%)
2392
48.8%
1 472
 
9.6%
( 347
 
7.1%
) 344
 
7.0%
2 220
 
4.5%
0 192
 
3.9%
3 162
 
3.3%
4 125
 
2.6%
6 121
 
2.5%
, 116
 
2.4%
Other values (6) 409
 
8.3%
Latin
ValueCountFrequency (%)
A 3
17.6%
e 3
17.6%
G 3
17.6%
M 2
11.8%
B 2
11.8%
L 1
 
5.9%
H 1
 
5.9%
S 1
 
5.9%
C 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5960
54.8%
ASCII 4917
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2392
48.6%
1 472
 
9.6%
( 347
 
7.1%
) 344
 
7.0%
2 220
 
4.5%
0 192
 
3.9%
3 162
 
3.3%
4 125
 
2.5%
6 121
 
2.5%
, 116
 
2.4%
Other values (15) 426
 
8.7%
Hangul
ValueCountFrequency (%)
구 447
 
7.5%
동 413
 
6.9%
시 370
 
6.2%
산 344
 
5.8%
북 335
 
5.6%
로 330
 
5.5%
부 329
 
5.5%
역 317
 
5.3%
광 316
 
5.3%
덕 232
 
3.9%
Other values (178) 2527
42.4%

Interactions

2023-12-11T01:41:45.415990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T01:41:45.616349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:41:45.752879image/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

연번판매소명판매소 주소
01따봉슈퍼부산광역시 북구 구포시장길 62 (구포동)
12영선상회부산 북구 가람로 52번길 94
23그랜드마트 구포점낙동대로1762번길 55, 서원하이츠빌라1,2층일부(구포)
34(주)지에스리테일 구포점부산광역시 북구 낙동대로1780번길 106(구포동)
45유정스토어부산광역시 북구 구포만세길 107(구포동)
56밀양철물부산광역시 북구 팽나무로 15 (구포동, 삼성골든빌라)
67파워C마트부산광역시 북구 모분재로 43(구포동)
78새한일슈퍼부산광역시 북구 덕천로28번길 23(구포동)
89씨유 구포슈퍼맨점부산광역시 북구 낙동대로1762번길 41(구포동)
910서원탑훼밀리마트모분재로23번길 49, 20통 (구포동)
연번판매소명판매소 주소
345346탑할인마트부산광역시 북구 덕천로234번길 24(만덕동)
346347GS25부산만덕점부산광역시 북구 만덕3로 17 (만덕동)
347348쌍용할인마트만덕3로 49 쌍용스윗닷홈 상가 1층 102,103 (만덕동)
348349(주)지에스리테일 만덕점부산광역시 북구 덕천로 188 (만덕동)
349350홈플러스익스프레스 만덕점덕천로234번길47,상가동지하1,2,3호(만덕동,그린코아 상가동지하1,2,3호
350351미니스톱 만덕벽산점부산광역시 북구 만덕대로178번길 30(만덕동, 강산마을)
351352킴스plus할인마트부산광역시 북구 만덕3로 55(만덕동)
352353지에스25(GS25) 만덕그린코아부산광역시 북구 덕천로234번길 42(만덕동)
353354GS25 만덕동원점부산광역시 북구 덕천로 235 (만덕동) 1층
354355씨유 만덕럭키2차점부산광역시 북구 덕천로234번길 24 (만덕동) 상가동 109호,112호