Overview

Dataset statistics

Number of variables6
Number of observations321
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.5 KiB
Average record size in memory49.4 B

Variable types

Numeric1
Categorical1
Text2
DateTime2

Dataset

Description경상남도 거제시 경로당 정보에 대한 현황을 제공합니다(면동, 경로당명칭, 소재지, 위도, 경도, 등록일자, 기준일자)에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15037762

Alerts

기준일자 has constant value ""Constant
연번 is highly overall correlated with 면동High correlation
면동 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:36:41.173221
Analysis finished2023-12-11 00:36:41.830252
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct321
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161
Minimum1
Maximum321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T09:36:41.926514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17
Q181
median161
Q3241
95-th percentile305
Maximum321
Range320
Interquartile range (IQR)160

Descriptive statistics

Standard deviation92.808944
Coefficient of variation (CV)0.57645307
Kurtosis-1.2
Mean161
Median Absolute Deviation (MAD)80
Skewness0
Sum51681
Variance8613.5
MonotonicityStrictly increasing
2023-12-11T09:36:42.092916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
242 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
216 1
 
0.3%
215 1
 
0.3%
214 1
 
0.3%
213 1
 
0.3%
Other values (311) 311
96.9%
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 (%)
321 1
0.3%
320 1
0.3%
319 1
0.3%
318 1
0.3%
317 1
0.3%
316 1
0.3%
315 1
0.3%
314 1
0.3%
313 1
0.3%
312 1
0.3%

면동
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
사등면
31 
연초면
29 
장목면
28 
거제면
27 
하청면
27 
Other values (13)
179 

Length

Max length4
Median length3
Mean length3.0903427
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사등면 31
 
9.7%
연초면 29
 
9.0%
장목면 28
 
8.7%
거제면 27
 
8.4%
하청면 27
 
8.4%
일운면 21
 
6.5%
둔덕면 21
 
6.5%
동부면 20
 
6.2%
고현동 18
 
5.6%
옥포2동 16
 
5.0%
Other values (8) 83
25.9%

Length

2023-12-11T09:36:42.239982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사등면 31
 
9.7%
연초면 29
 
9.0%
장목면 28
 
8.7%
거제면 27
 
8.4%
하청면 27
 
8.4%
일운면 21
 
6.5%
둔덕면 21
 
6.5%
동부면 20
 
6.2%
고현동 18
 
5.6%
상문동 16
 
5.0%
Other values (8) 83
25.9%

경로당명칭
Text

Distinct314
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T09:36:42.445472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length5
Mean length6.046729
Min length4

Characters and Unicode

Total characters1941
Distinct characters237
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

Unique307 ?
Unique (%)95.6%

Sample

1st row대신경로당
2nd row구조라수정경로당
3rd row대동경로당
4th row망치경로당
5th row하촌경로당
ValueCountFrequency (%)
신촌경로당 2
 
0.6%
덕산3차경로당 2
 
0.6%
실전경로당 2
 
0.6%
롯데인벤스경로당 2
 
0.6%
죽전경로당 2
 
0.6%
서상경로당 2
 
0.6%
두모경로당 2
 
0.6%
매동경로당 1
 
0.3%
구촌경로당 1
 
0.3%
외포남자경로당 1
 
0.3%
Other values (304) 304
94.7%
2023-12-11T09:36:42.790980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 318
 
16.4%
로 318
 
16.4%
당 318
 
16.4%
동 31
 
1.6%
아 30
 
1.5%
포 30
 
1.5%
산 26
 
1.3%
트 22
 
1.1%
차 21
 
1.1%
파 20
 
1.0%
Other values (227) 807
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1890
97.4%
Decimal Number 38
 
2.0%
Uppercase Letter 5
 
0.3%
Open Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Lowercase Letter 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 318
16.8%
로 318
16.8%
당 318
16.8%
동 31
 
1.6%
아 30
 
1.6%
포 30
 
1.6%
산 26
 
1.4%
트 22
 
1.2%
차 21
 
1.1%
파 20
 
1.1%
Other values (210) 756
40.0%
Decimal Number
ValueCountFrequency (%)
1 13
34.2%
2 9
23.7%
3 7
18.4%
6 3
 
7.9%
4 3
 
7.9%
5 2
 
5.3%
7 1
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
K 1
20.0%
S 1
20.0%
A 1
20.0%
H 1
20.0%
L 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1890
97.4%
Common 45
 
2.3%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 318
16.8%
로 318
16.8%
당 318
16.8%
동 31
 
1.6%
아 30
 
1.6%
포 30
 
1.6%
산 26
 
1.4%
트 22
 
1.2%
차 21
 
1.1%
파 20
 
1.1%
Other values (210) 756
40.0%
Common
ValueCountFrequency (%)
1 13
28.9%
2 9
20.0%
3 7
15.6%
6 3
 
6.7%
4 3
 
6.7%
( 2
 
4.4%
5 2
 
4.4%
. 2
 
4.4%
) 2
 
4.4%
- 1
 
2.2%
Latin
ValueCountFrequency (%)
e 1
16.7%
K 1
16.7%
S 1
16.7%
A 1
16.7%
H 1
16.7%
L 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1890
97.4%
ASCII 51
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 318
16.8%
로 318
16.8%
당 318
16.8%
동 31
 
1.6%
아 30
 
1.6%
포 30
 
1.6%
산 26
 
1.4%
트 22
 
1.2%
차 21
 
1.1%
파 20
 
1.1%
Other values (210) 756
40.0%
ASCII
ValueCountFrequency (%)
1 13
25.5%
2 9
17.6%
3 7
13.7%
6 3
 
5.9%
4 3
 
5.9%
( 2
 
3.9%
5 2
 
3.9%
. 2
 
3.9%
) 2
 
3.9%
e 1
 
2.0%
Other values (7) 7
13.7%

소재지(도로명주소)
Text

Distinct319
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T09:36:43.170462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length19.772586
Min length14

Characters and Unicode

Total characters6347
Distinct characters156
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique317 ?
Unique (%)98.8%

Sample

1st row경상남도 거제시 일운면 지세포해안로 82-5
2nd row경상남도 거제시 일운면 구조라로 49
3rd row경상남도 거제시 일운면 지세포5길 45
4th row경상남도 거제시 일운면 망치2길 2-2
5th row경상남도 거제시 일운면 옥림4길 11
ValueCountFrequency (%)
거제시 321
21.1%
경상남도 320
21.0%
사등면 31
 
2.0%
연초면 29
 
1.9%
장목면 28
 
1.8%
하청면 27
 
1.8%
거제면 27
 
1.8%
일운면 21
 
1.4%
둔덕면 21
 
1.4%
동부면 20
 
1.3%
Other values (443) 676
44.4%
2023-12-11T09:36:43.732143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1200
18.9%
거 386
 
6.1%
제 384
 
6.1%
남 344
 
5.4%
상 330
 
5.2%
도 325
 
5.1%
시 324
 
5.1%
경 321
 
5.1%
1 244
 
3.8%
길 219
 
3.5%
Other values (146) 2270
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4052
63.8%
Space Separator 1200
 
18.9%
Decimal Number 1013
 
16.0%
Dash Punctuation 80
 
1.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 386
 
9.5%
제 384
 
9.5%
남 344
 
8.5%
상 330
 
8.1%
도 325
 
8.0%
시 324
 
8.0%
경 321
 
7.9%
길 219
 
5.4%
면 215
 
5.3%
로 161
 
4.0%
Other values (132) 1043
25.7%
Decimal Number
ValueCountFrequency (%)
1 244
24.1%
2 164
16.2%
3 120
11.8%
5 103
10.2%
4 86
 
8.5%
6 70
 
6.9%
7 61
 
6.0%
8 57
 
5.6%
9 56
 
5.5%
0 52
 
5.1%
Space Separator
ValueCountFrequency (%)
1200
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4052
63.8%
Common 2295
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 386
 
9.5%
제 384
 
9.5%
남 344
 
8.5%
상 330
 
8.1%
도 325
 
8.0%
시 324
 
8.0%
경 321
 
7.9%
길 219
 
5.4%
면 215
 
5.3%
로 161
 
4.0%
Other values (132) 1043
25.7%
Common
ValueCountFrequency (%)
1200
52.3%
1 244
 
10.6%
2 164
 
7.1%
3 120
 
5.2%
5 103
 
4.5%
4 86
 
3.7%
- 80
 
3.5%
6 70
 
3.1%
7 61
 
2.7%
8 57
 
2.5%
Other values (4) 110
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4052
63.8%
ASCII 2295
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1200
52.3%
1 244
 
10.6%
2 164
 
7.1%
3 120
 
5.2%
5 103
 
4.5%
4 86
 
3.7%
- 80
 
3.5%
6 70
 
3.1%
7 61
 
2.7%
8 57
 
2.5%
Other values (4) 110
 
4.8%
Hangul
ValueCountFrequency (%)
거 386
 
9.5%
제 384
 
9.5%
남 344
 
8.5%
상 330
 
8.1%
도 325
 
8.0%
시 324
 
8.0%
경 321
 
7.9%
길 219
 
5.4%
면 215
 
5.3%
로 161
 
4.0%
Other values (132) 1043
25.7%

등록일자
Date

Distinct282
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum1935-01-01 00:00:00
Maximum2023-04-28 00:00:00
2023-12-11T09:36:43.888070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:36:44.013951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2023-08-24 00:00:00
Maximum2023-08-24 00:00:00
2023-12-11T09:36:44.127535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:36:44.226604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T09:36:41.478712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:36:44.299228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면동
연번1.0000.976
면동0.9761.000
2023-12-11T09:36:44.371094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면동
연번1.0000.870
면동0.8701.000

Missing values

2023-12-11T09:36:41.643408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:36:41.767455image/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

연번면동경로당명칭소재지(도로명주소)등록일자기준일자
01일운면대신경로당경상남도 거제시 일운면 지세포해안로 82-52008-11-042023-08-24
12일운면구조라수정경로당경상남도 거제시 일운면 구조라로 492013-01-112023-08-24
23일운면대동경로당경상남도 거제시 일운면 지세포5길 452008-10-242023-08-24
34일운면망치경로당경상남도 거제시 일운면 망치2길 2-21998-02-272023-08-24
45일운면하촌경로당경상남도 거제시 일운면 옥림4길 111974-09-032023-08-24
56일운면회진경로당경상남도 거제시 일운면 지세포로 602012-12-042023-08-24
67일운면소동경로당경상남도 거제시 일운면 소동3길 162013-10-312023-08-24
78일운면와현경로당경상남도 거제시 일운면 와현해변길 202006-09-252023-08-24
89일운면공령경로당경상남도 거제시 일운면 지세포로142-12011-06-222023-08-24
910일운면양화경로당경상남도 거제시 일운면 양화1길 152010-07-022023-08-24
연번면동경로당명칭소재지(도로명주소)등록일자기준일자
311312수양동동산내경로당경상남도 거제시 수양로 3822000-09-072023-08-24
312313수양동양정경로당경상남도 거제시 수양로 1852006-07-102023-08-24
313314수양동수월경로당경상남도 거제시 수월2길 261993-07-222023-08-24
314315수양동제산1할머니경로당경상남도 거제시 제산로5길 172008-03-172023-08-24
315316수양동수양경로당경상남도 거제시 수양2길 431994-03-072023-08-24
316317수양동해명1경로당경상남도 거제시 해명로 10길 92009-11-202023-08-24
317318수양동거제자이경로당경상남도 거제시 해명로 522010-01-252023-08-24
318319수양동더샵경로당경상남도 거제시 제산로 862011-07-042023-08-24
319320수양동춘광한빛타운경로당경상남도 거제시 해명로6길 112015-12-292023-08-24
320321수양동해뜰안애아파트경로당경상남도 거제시 수양로 1042020-09-152023-08-24