Overview

Dataset statistics

Number of variables4
Number of observations363
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory33.4 B

Variable types

Numeric1
Categorical2
Text1

Dataset

Description인천광역시 강화군의 의류수거함 위치 데이터입니다.<br/>강화군 관내 의류수거함의 연번, 행정동, 설치장소, 관리부서 등의 항목을 제공하고 있습니다.
Author인천광역시 강화군
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15127327&srcSe=7661IVAWM27C61E190

Alerts

관리부서 has constant value ""Constant
연번 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
설치위치 has unique valuesUnique

Reproduction

Analysis started2024-04-06 09:39:24.263806
Analysis finished2024-04-06 09:39:24.763173
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct363
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182
Minimum1
Maximum363
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-04-06T18:39:24.860066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.1
Q191.5
median182
Q3272.5
95-th percentile344.9
Maximum363
Range362
Interquartile range (IQR)181

Descriptive statistics

Standard deviation104.93331
Coefficient of variation (CV)0.57655666
Kurtosis-1.2
Mean182
Median Absolute Deviation (MAD)91
Skewness0
Sum66066
Variance11011
MonotonicityStrictly increasing
2024-04-06T18:39:25.050928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
251 1
 
0.3%
249 1
 
0.3%
248 1
 
0.3%
247 1
 
0.3%
246 1
 
0.3%
245 1
 
0.3%
244 1
 
0.3%
243 1
 
0.3%
242 1
 
0.3%
Other values (353) 353
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 (%)
363 1
0.3%
362 1
0.3%
361 1
0.3%
360 1
0.3%
359 1
0.3%
358 1
0.3%
357 1
0.3%
356 1
0.3%
355 1
0.3%
354 1
0.3%

행정동
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
강화읍
186 
불은면
36 
선원면
30 
양도면
29 
송해면
20 
Other values (5)
62 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
강화읍 186
51.2%
불은면 36
 
9.9%
선원면 30
 
8.3%
양도면 29
 
8.0%
송해면 20
 
5.5%
길상면 19
 
5.2%
내가면 18
 
5.0%
하점면 14
 
3.9%
화도면 10
 
2.8%
양사면 1
 
0.3%

Length

2024-04-06T18:39:25.216483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:39:25.379387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강화읍 186
51.2%
불은면 36
 
9.9%
선원면 30
 
8.3%
양도면 29
 
8.0%
송해면 20
 
5.5%
길상면 19
 
5.2%
내가면 18
 
5.0%
하점면 14
 
3.9%
화도면 10
 
2.8%
양사면 1
 
0.3%

설치위치
Text

UNIQUE 

Distinct363
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-04-06T18:39:25.737493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length32
Mean length26.325069
Min length19

Characters and Unicode

Total characters9556
Distinct characters233
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique363 ?
Unique (%)100.0%

Sample

1st row인천광역시 강화군 강화읍 갑룡길 105-13
2nd row인천광역시 강화군 강화읍 갑룡길 105-21
3rd row인천광역시 강화군 강화읍 갑룡길 105-27
4th row인천광역시 강화군 강화읍 갑룡길 121-2 대흥아이빌
5th row인천광역시 강화군 강화읍 갑룡길 127-4 월드S클래스
ValueCountFrequency (%)
인천광역시 363
17.8%
강화군 363
17.8%
강화읍 186
 
9.1%
75
 
3.7%
불은면 36
 
1.8%
선원면 30
 
1.5%
양도면 29
 
1.4%
갑룡길 20
 
1.0%
송해면 20
 
1.0%
길상면 19
 
0.9%
Other values (575) 894
43.9%
2024-04-06T18:39:26.249387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1676
17.5%
629
 
6.6%
606
 
6.3%
367
 
3.8%
366
 
3.8%
366
 
3.8%
363
 
3.8%
363
 
3.8%
363
 
3.8%
341
 
3.6%
Other values (223) 4116
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6367
66.6%
Space Separator 1676
 
17.5%
Decimal Number 1377
 
14.4%
Dash Punctuation 131
 
1.4%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
629
 
9.9%
606
 
9.5%
367
 
5.8%
366
 
5.7%
366
 
5.7%
363
 
5.7%
363
 
5.7%
363
 
5.7%
341
 
5.4%
186
 
2.9%
Other values (206) 2417
38.0%
Decimal Number
ValueCountFrequency (%)
1 283
20.6%
2 214
15.5%
3 149
10.8%
5 125
9.1%
4 120
8.7%
6 117
8.5%
7 109
 
7.9%
0 95
 
6.9%
8 88
 
6.4%
9 77
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
P 1
20.0%
A 1
20.0%
S 1
20.0%
I 1
20.0%
Space Separator
ValueCountFrequency (%)
1676
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6367
66.6%
Common 3184
33.3%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
629
 
9.9%
606
 
9.5%
367
 
5.8%
366
 
5.7%
366
 
5.7%
363
 
5.7%
363
 
5.7%
363
 
5.7%
341
 
5.4%
186
 
2.9%
Other values (206) 2417
38.0%
Common
ValueCountFrequency (%)
1676
52.6%
1 283
 
8.9%
2 214
 
6.7%
3 149
 
4.7%
- 131
 
4.1%
5 125
 
3.9%
4 120
 
3.8%
6 117
 
3.7%
7 109
 
3.4%
0 95
 
3.0%
Other values (2) 165
 
5.2%
Latin
ValueCountFrequency (%)
T 1
20.0%
P 1
20.0%
A 1
20.0%
S 1
20.0%
I 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6367
66.6%
ASCII 3189
33.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1676
52.6%
1 283
 
8.9%
2 214
 
6.7%
3 149
 
4.7%
- 131
 
4.1%
5 125
 
3.9%
4 120
 
3.8%
6 117
 
3.7%
7 109
 
3.4%
0 95
 
3.0%
Other values (7) 170
 
5.3%
Hangul
ValueCountFrequency (%)
629
 
9.9%
606
 
9.5%
367
 
5.8%
366
 
5.7%
366
 
5.7%
363
 
5.7%
363
 
5.7%
363
 
5.7%
341
 
5.4%
186
 
2.9%
Other values (206) 2417
38.0%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
환경위생과
363 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
환경위생과 363
100.0%

Length

2024-04-06T18:39:26.445394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:39:26.541319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
환경위생과 363
100.0%

Interactions

2024-04-06T18:39:24.473280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T18:39:26.609992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.964
행정동0.9641.000
2024-04-06T18:39:26.690364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.675
행정동0.6751.000

Missing values

2024-04-06T18:39:24.612924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:39:24.726973image/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

연번행정동설치위치관리부서
01강화읍인천광역시 강화군 강화읍 갑룡길 105-13환경위생과
12강화읍인천광역시 강화군 강화읍 갑룡길 105-21환경위생과
23강화읍인천광역시 강화군 강화읍 갑룡길 105-27환경위생과
34강화읍인천광역시 강화군 강화읍 갑룡길 121-2 대흥아이빌환경위생과
45강화읍인천광역시 강화군 강화읍 갑룡길 127-4 월드S클래스환경위생과
56강화읍인천광역시 강화군 강화읍 갑룡길 135환경위생과
67강화읍인천광역시 강화군 강화읍 갑룡길 184 용정리복지회관환경위생과
78강화읍인천광역시 강화군 강화읍 갑룡길 211-13환경위생과
89강화읍인천광역시 강화군 강화읍 갑룡길 31환경위생과
910강화읍인천광역시 강화군 강화읍 갑룡길 55-2 나경캐슬환경위생과
연번행정동설치위치관리부서
353354송해면인천광역시 강화군 송해면 신당리 614환경위생과
354355송해면인천광역시 강화군 송해면 장정양오길324번길 143 앞환경위생과
355356송해면인천광역시 강화군 송해면 장정양오길324번길 19-2환경위생과
356357송해면인천광역시 강화군 송해면 전망대로 514환경위생과
357358송해면인천광역시 강화군 송해면 전망대로302번길 3환경위생과
358359송해면인천광역시 강화군 송해면 전망대로306번길 115 앞환경위생과
359360송해면인천광역시 강화군 송해면 전망대로306번길 154 앞환경위생과
360361송해면인천광역시 강화군 송해면 전망대로423번길 17 앞환경위생과
361362송해면인천광역시 강화군 송해면 전망대로468번길 2 옆환경위생과
362363송해면인천광역시 강화군 송해면 하도리 396환경위생과