Overview

Dataset statistics

Number of variables3
Number of observations371
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.2 KiB
Average record size in memory25.4 B

Variable types

Numeric1
Categorical1
Text1

Dataset

Description거창군에서 관리하고 있는 재활용 분리수거함 배치 현황입니다. 공동주택, 단독주택지역, 다중이용시설로 구분되어 배치장소를 제공합니다.
Author경상남도 거창군
URLhttps://www.data.go.kr/data/15099932/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:10:50.894298
Analysis finished2023-12-12 13:10:51.382086
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct371
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186
Minimum1
Maximum371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T22:10:51.459204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.5
Q193.5
median186
Q3278.5
95-th percentile352.5
Maximum371
Range370
Interquartile range (IQR)185

Descriptive statistics

Standard deviation107.24272
Coefficient of variation (CV)0.57657374
Kurtosis-1.2
Mean186
Median Absolute Deviation (MAD)93
Skewness0
Sum69006
Variance11501
MonotonicityStrictly increasing
2023-12-12T22:10:51.599820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
246 1
 
0.3%
255 1
 
0.3%
254 1
 
0.3%
253 1
 
0.3%
252 1
 
0.3%
251 1
 
0.3%
250 1
 
0.3%
249 1
 
0.3%
248 1
 
0.3%
Other values (361) 361
97.3%
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 (%)
371 1
0.3%
370 1
0.3%
369 1
0.3%
368 1
0.3%
367 1
0.3%
366 1
0.3%
365 1
0.3%
364 1
0.3%
363 1
0.3%
362 1
0.3%

구분
Categorical

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
단독주택지역
133 
다중이용시설
115 
공동주택
108 
기타
 
12
군부대
 
2

Length

Max length6
Median length6
Mean length5.2668464
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row공동주택
2nd row공동주택
3rd row단독주택지역
4th row단독주택지역
5th row단독주택지역

Common Values

ValueCountFrequency (%)
단독주택지역 133
35.8%
다중이용시설 115
31.0%
공동주택 108
29.1%
기타 12
 
3.2%
군부대 2
 
0.5%
기타 1
 
0.3%

Length

2023-12-12T22:10:51.756651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:10:51.871179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독주택지역 133
35.8%
다중이용시설 115
31.0%
공동주택 108
29.1%
기타 13
 
3.5%
군부대 2
 
0.5%

배치장소
Text

Distinct363
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T22:10:52.103511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length9.9460916
Min length2

Characters and Unicode

Total characters3690
Distinct characters359
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique355 ?
Unique (%)95.7%

Sample

1st row미가아파트
2nd row아진빌라
3rd row동신탕 앞
4th row양평 동네 구매부옆
5th row구례경로당앞
ValueCountFrequency (%)
앞 6
 
1.0%
추가 5
 
0.8%
옆 4
 
0.7%
44 4
 
0.7%
가조 3
 
0.5%
나리안길 3
 
0.5%
주상 3
 
0.5%
마리 3
 
0.5%
뒤 3
 
0.5%
24-5 2
 
0.3%
Other values (516) 561
94.0%
2023-12-12T22:10:52.555393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
233
 
6.3%
1 123
 
3.3%
) 115
 
3.1%
( 115
 
3.1%
길 87
 
2.4%
빌 75
 
2.0%
리 64
 
1.7%
4 64
 
1.7%
동 61
 
1.7%
2 61
 
1.7%
Other values (349) 2692
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2625
71.1%
Decimal Number 495
 
13.4%
Space Separator 233
 
6.3%
Close Punctuation 115
 
3.1%
Open Punctuation 115
 
3.1%
Dash Punctuation 46
 
1.2%
Uppercase Letter 30
 
0.8%
Other Punctuation 20
 
0.5%
Lowercase Letter 10
 
0.3%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 87
 
3.3%
빌 75
 
2.9%
리 64
 
2.4%
동 61
 
2.3%
지 59
 
2.2%
거 59
 
2.2%
마 54
 
2.1%
창 50
 
1.9%
대 45
 
1.7%
정 44
 
1.7%
Other values (315) 2027
77.2%
Uppercase Letter
ValueCountFrequency (%)
C 7
23.3%
B 6
20.0%
G 5
16.7%
A 5
16.7%
T 1
 
3.3%
M 1
 
3.3%
Y 1
 
3.3%
U 1
 
3.3%
S 1
 
3.3%
P 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 123
24.8%
4 64
12.9%
2 61
12.3%
3 51
10.3%
5 38
 
7.7%
6 36
 
7.3%
7 35
 
7.1%
0 33
 
6.7%
9 30
 
6.1%
8 24
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 16
80.0%
& 2
 
10.0%
/ 1
 
5.0%
. 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
c 5
50.0%
v 2
 
20.0%
t 2
 
20.0%
b 1
 
10.0%
Space Separator
ValueCountFrequency (%)
233
100.0%
Close Punctuation
ValueCountFrequency (%)
) 115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2626
71.2%
Common 1024
 
27.8%
Latin 40
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 87
 
3.3%
빌 75
 
2.9%
리 64
 
2.4%
동 61
 
2.3%
지 59
 
2.2%
거 59
 
2.2%
마 54
 
2.1%
창 50
 
1.9%
대 45
 
1.7%
정 44
 
1.7%
Other values (316) 2028
77.2%
Common
ValueCountFrequency (%)
233
22.8%
1 123
12.0%
) 115
11.2%
( 115
11.2%
4 64
 
6.2%
2 61
 
6.0%
3 51
 
5.0%
- 46
 
4.5%
5 38
 
3.7%
6 36
 
3.5%
Other values (8) 142
13.9%
Latin
ValueCountFrequency (%)
C 7
17.5%
B 6
15.0%
G 5
12.5%
c 5
12.5%
A 5
12.5%
v 2
 
5.0%
t 2
 
5.0%
b 1
 
2.5%
T 1
 
2.5%
M 1
 
2.5%
Other values (5) 5
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2625
71.1%
ASCII 1064
28.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
233
21.9%
1 123
11.6%
) 115
10.8%
( 115
10.8%
4 64
 
6.0%
2 61
 
5.7%
3 51
 
4.8%
- 46
 
4.3%
5 38
 
3.6%
6 36
 
3.4%
Other values (23) 182
17.1%
Hangul
ValueCountFrequency (%)
길 87
 
3.3%
빌 75
 
2.9%
리 64
 
2.4%
동 61
 
2.3%
지 59
 
2.2%
거 59
 
2.2%
마 54
 
2.1%
창 50
 
1.9%
대 45
 
1.7%
정 44
 
1.7%
Other values (315) 2027
77.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Interactions

2023-12-12T22:10:51.141948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:10:52.664371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.444
구분0.4441.000
2023-12-12T22:10:52.747422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.252
구분0.2521.000

Missing values

2023-12-12T22:10:51.279083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:10:51.353913image/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

연번구분배치장소
01공동주택미가아파트
12공동주택아진빌라
23단독주택지역동신탕 앞
34단독주택지역양평 동네 구매부옆
45단독주택지역구례경로당앞
56단독주택지역사지마을
67공동주택삼성하이츠빌
78단독주택지역창동건재
89공동주택새한아트빌
910단독주택지역그린파크장맞은편골목
연번구분배치장소
361362단독주택지역제일교회 사거리
362363다중이용시설주상 원성기마을회관
363364단독주택지역송정3길 34
364365단독주택지역나인빌리지(송정리 1114-4)
365366단독주택지역개화 무지개마을 입구 삼거리 전봇대부근
366367단독주택지역송정리 1110-8
367368단독주택지역그린맨션 C동
368369단독주택지역강남하이츠(송정리 1114-12)
369370기타가우정푸드(남상 대산리1599-1)
370371기타하늘바이오(남상 홍덕길 11)