Overview

Dataset statistics

Number of variables5
Number of observations1268
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.9 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Text2
Categorical2

Dataset

Description경상남도 창원시의 의류수거함 위치정보입니다. 항목은 연번, 행정동, 설치장소, 관리부서, 전화번호 입니다.
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15127206

Alerts

관리부서 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
전화번호 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 관리부서 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-23 07:20:02.524309
Analysis finished2024-03-23 07:20:04.844562
Duration2.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1268
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean634.5
Minimum1
Maximum1268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-03-23T07:20:05.190469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile64.35
Q1317.75
median634.5
Q3951.25
95-th percentile1204.65
Maximum1268
Range1267
Interquartile range (IQR)633.5

Descriptive statistics

Standard deviation366.18438
Coefficient of variation (CV)0.57712274
Kurtosis-1.2
Mean634.5
Median Absolute Deviation (MAD)317
Skewness0
Sum804546
Variance134091
MonotonicityStrictly increasing
2024-03-23T07:20:05.592941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
845 1
 
0.1%
852 1
 
0.1%
851 1
 
0.1%
850 1
 
0.1%
849 1
 
0.1%
848 1
 
0.1%
847 1
 
0.1%
846 1
 
0.1%
844 1
 
0.1%
Other values (1258) 1258
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1268 1
0.1%
1267 1
0.1%
1266 1
0.1%
1265 1
0.1%
1264 1
0.1%
1263 1
0.1%
1262 1
0.1%
1261 1
0.1%
1260 1
0.1%
1259 1
0.1%
Distinct53
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
2024-03-23T07:20:06.149032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0402208
Min length2

Characters and Unicode

Total characters3855
Distinct characters70
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row명서동
2nd row봉림동
3rd row소답동
4th row팔용동
5th row팔용동
ValueCountFrequency (%)
소답동 71
 
5.6%
봉곡동 61
 
4.8%
용지동 59
 
4.7%
사림동 55
 
4.3%
회원동 55
 
4.3%
여좌동 55
 
4.3%
도계동 50
 
3.9%
문화동 47
 
3.7%
웅동2동 47
 
3.7%
팔용동 46
 
3.6%
Other values (43) 722
56.9%
2024-03-23T07:20:07.377922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1303
33.8%
105
 
2.7%
88
 
2.3%
87
 
2.3%
80
 
2.1%
77
 
2.0%
71
 
1.8%
71
 
1.8%
67
 
1.7%
67
 
1.7%
Other values (60) 1839
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3805
98.7%
Decimal Number 50
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1303
34.2%
105
 
2.8%
88
 
2.3%
87
 
2.3%
80
 
2.1%
77
 
2.0%
71
 
1.9%
71
 
1.9%
67
 
1.8%
67
 
1.8%
Other values (58) 1789
47.0%
Decimal Number
ValueCountFrequency (%)
2 47
94.0%
1 3
 
6.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3805
98.7%
Common 50
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1303
34.2%
105
 
2.8%
88
 
2.3%
87
 
2.3%
80
 
2.1%
77
 
2.0%
71
 
1.9%
71
 
1.9%
67
 
1.8%
67
 
1.8%
Other values (58) 1789
47.0%
Common
ValueCountFrequency (%)
2 47
94.0%
1 3
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3805
98.7%
ASCII 50
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1303
34.2%
105
 
2.8%
88
 
2.3%
87
 
2.3%
80
 
2.1%
77
 
2.0%
71
 
1.9%
71
 
1.9%
67
 
1.8%
67
 
1.8%
Other values (58) 1789
47.0%
ASCII
ValueCountFrequency (%)
2 47
94.0%
1 3
 
6.0%
Distinct1245
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
2024-03-23T07:20:08.623547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length39
Mean length26.486593
Min length16

Characters and Unicode

Total characters33585
Distinct characters380
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1227 ?
Unique (%)96.8%

Sample

1st row경상남도 창원시 의창구 도계동 895
2nd row경상남도 창원시 의창구 봉림동 680
3rd row경상남도 창원시 의창구 서상동 11-6
4th row경상남도 창원시 의창구 사화로9번길7-1
5th row경상남도 창원시 의창구 반계로68번길 15
ValueCountFrequency (%)
창원시 1267
18.2%
경상남도 1266
18.2%
의창구 328
 
4.7%
진해구 304
 
4.4%
마산합포구 255
 
3.7%
마산회원구 203
 
2.9%
성산구 177
 
2.5%
73
 
1.0%
58
 
0.8%
충장로 34
 
0.5%
Other values (1609) 3007
43.1%
2024-03-23T07:20:10.450086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6017
 
17.9%
1673
 
5.0%
1658
 
4.9%
1426
 
4.2%
1337
 
4.0%
1315
 
3.9%
1298
 
3.9%
1297
 
3.9%
1277
 
3.8%
948
 
2.8%
Other values (370) 15339
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22301
66.4%
Space Separator 6017
 
17.9%
Decimal Number 4155
 
12.4%
Open Punctuation 411
 
1.2%
Close Punctuation 409
 
1.2%
Dash Punctuation 273
 
0.8%
Uppercase Letter 11
 
< 0.1%
Other Punctuation 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1673
 
7.5%
1658
 
7.4%
1426
 
6.4%
1337
 
6.0%
1315
 
5.9%
1298
 
5.8%
1297
 
5.8%
1277
 
5.7%
948
 
4.3%
755
 
3.4%
Other values (346) 9317
41.8%
Decimal Number
ValueCountFrequency (%)
1 927
22.3%
2 608
14.6%
3 479
11.5%
5 388
9.3%
4 376
9.0%
6 311
 
7.5%
7 283
 
6.8%
9 274
 
6.6%
8 264
 
6.4%
0 245
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
H 2
18.2%
S 2
18.2%
K 2
18.2%
E 1
9.1%
J 1
9.1%
T 1
9.1%
C 1
9.1%
U 1
9.1%
Other Punctuation
ValueCountFrequency (%)
. 4
50.0%
, 4
50.0%
Space Separator
ValueCountFrequency (%)
6017
100.0%
Open Punctuation
ValueCountFrequency (%)
( 411
100.0%
Close Punctuation
ValueCountFrequency (%)
) 409
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 273
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22301
66.4%
Common 11273
33.6%
Latin 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1673
 
7.5%
1658
 
7.4%
1426
 
6.4%
1337
 
6.0%
1315
 
5.9%
1298
 
5.8%
1297
 
5.8%
1277
 
5.7%
948
 
4.3%
755
 
3.4%
Other values (346) 9317
41.8%
Common
ValueCountFrequency (%)
6017
53.4%
1 927
 
8.2%
2 608
 
5.4%
3 479
 
4.2%
( 411
 
3.6%
) 409
 
3.6%
5 388
 
3.4%
4 376
 
3.3%
6 311
 
2.8%
7 283
 
2.5%
Other values (6) 1064
 
9.4%
Latin
ValueCountFrequency (%)
H 2
18.2%
S 2
18.2%
K 2
18.2%
E 1
9.1%
J 1
9.1%
T 1
9.1%
C 1
9.1%
U 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22301
66.4%
ASCII 11284
33.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6017
53.3%
1 927
 
8.2%
2 608
 
5.4%
3 479
 
4.2%
( 411
 
3.6%
) 409
 
3.6%
5 388
 
3.4%
4 376
 
3.3%
6 311
 
2.8%
7 283
 
2.5%
Other values (14) 1075
 
9.5%
Hangul
ValueCountFrequency (%)
1673
 
7.5%
1658
 
7.4%
1426
 
6.4%
1337
 
6.0%
1315
 
5.9%
1298
 
5.8%
1297
 
5.8%
1277
 
5.7%
948
 
4.3%
755
 
3.4%
Other values (346) 9317
41.8%

관리부서
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
경상남도 창원시 의창구청 환경과
326 
경상남도 창원시 진해구청 환경과
304 
경상남도 창원시 마산합포구청 환경과
255 
경상남도 창원시 마산회원구청 환경과
203 
경상남도 창원시 성산구청 환경과
180 

Length

Max length19
Median length17
Mean length17.722397
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도 창원시 의창구청 환경과
2nd row경상남도 창원시 의창구청 환경과
3rd row경상남도 창원시 의창구청 환경과
4th row경상남도 창원시 의창구청 환경과
5th row경상남도 창원시 의창구청 환경과

Common Values

ValueCountFrequency (%)
경상남도 창원시 의창구청 환경과 326
25.7%
경상남도 창원시 진해구청 환경과 304
24.0%
경상남도 창원시 마산합포구청 환경과 255
20.1%
경상남도 창원시 마산회원구청 환경과 203
16.0%
경상남도 창원시 성산구청 환경과 180
14.2%

Length

2024-03-23T07:20:11.255015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:20:11.719725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 1268
25.0%
창원시 1268
25.0%
환경과 1268
25.0%
의창구청 326
 
6.4%
진해구청 304
 
6.0%
마산합포구청 255
 
5.0%
마산회원구청 203
 
4.0%
성산구청 180
 
3.5%

전화번호
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
055-212-4521
326 
055-548-4521
304 
055-220-4521
255 
055-230-4521
203 
055-272-4521
180 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row055-212-4521
2nd row055-212-4521
3rd row055-212-4521
4th row055-212-4521
5th row055-212-4521

Common Values

ValueCountFrequency (%)
055-212-4521 326
25.7%
055-548-4521 304
24.0%
055-220-4521 255
20.1%
055-230-4521 203
16.0%
055-272-4521 180
14.2%

Length

2024-03-23T07:20:12.671831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:20:13.304728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
055-212-4521 326
25.7%
055-548-4521 304
24.0%
055-220-4521 255
20.1%
055-230-4521 203
16.0%
055-272-4521 180
14.2%

Interactions

2024-03-23T07:20:03.761423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:20:14.098427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동관리부서전화번호
연번1.0000.9800.9980.998
행정동0.9801.0001.0001.000
관리부서0.9981.0001.0001.000
전화번호0.9981.0001.0001.000
2024-03-23T07:20:14.411431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리부서전화번호
관리부서1.0001.000
전화번호1.0001.000
2024-03-23T07:20:14.778535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리부서전화번호
연번1.0000.9290.929
관리부서0.9291.0001.000
전화번호0.9291.0001.000

Missing values

2024-03-23T07:20:04.286857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:20:04.728952image/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

연번행정동설치장소관리부서전화번호
01명서동경상남도 창원시 의창구 도계동 895경상남도 창원시 의창구청 환경과055-212-4521
12봉림동경상남도 창원시 의창구 봉림동 680경상남도 창원시 의창구청 환경과055-212-4521
23소답동경상남도 창원시 의창구 서상동 11-6경상남도 창원시 의창구청 환경과055-212-4521
34팔용동경상남도 창원시 의창구 사화로9번길7-1경상남도 창원시 의창구청 환경과055-212-4521
45팔용동경상남도 창원시 의창구 반계로68번길 15경상남도 창원시 의창구청 환경과055-212-4521
56봉곡동경상남도 창원시 의창구 창이대로309번길54경상남도 창원시 의창구청 환경과055-212-4521
67팔용동경상남도 창원시 의창구 팔용로396번길9경상남도 창원시 의창구청 환경과055-212-4521
78팔용동경상남도 창원시 의창구 팔용로 416번길 9경상남도 창원시 의창구청 환경과055-212-4521
89팔용동경상남도 창원시 의창구 팔용로 424번길 23경상남도 창원시 의창구청 환경과055-212-4521
910팔용동경상남도 창원시 의창구 사화로22번길20경상남도 창원시 의창구청 환경과055-212-4521
연번행정동설치장소관리부서전화번호
12581259경화동경상남도 창원시 진해구 충장로 337번길 31 (에셀나무어린이집)(경화동)경상남도 창원시 진해구청 환경과055-548-4521
12591260경화동경상남도 창원시 진해구 경화로 30번길 (경화동)경상남도 창원시 진해구청 환경과055-548-4521
12601261경화동경상남도 창원시 진해구 병암로 29번길3 (무지개아파트)(경화동)경상남도 창원시 진해구청 환경과055-548-4521
12611262경화동경상남도 창원시 진해구 에이스학원(경화동)경상남도 창원시 진해구청 환경과055-548-4521
12621263경화동경상남도 창원시 진해구 진해대로728번길32 덕진그린빌(경화동)경상남도 창원시 진해구청 환경과055-548-4521
12631264웅동2동경상남도 창원시 진해구 용재로 67 (용원동,동화빌)(용원동)경상남도 창원시 진해구청 환경과055-548-4521
12641265이동경상남도 창원시 진해구 충장로 406번길7 (피자에땅)(이동)경상남도 창원시 진해구청 환경과055-548-4521
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