Overview

Dataset statistics

Number of variables6
Number of observations614
Missing cells148
Missing cells (%)4.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.9 KiB
Average record size in memory48.2 B

Variable types

Text3
Categorical2
DateTime1

Dataset

Description경기도 평택시 경로당 현황에 대한 데이터로 경로당명, 소재지주소, 전화번호, 관리기관명, 관리부서명 등의 항목을 제공합니다.※ 문의 : 평택시 노인장애인과(031-8024-3121)
Author경기도 평택시
URLhttps://www.data.go.kr/data/15100069/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리부서명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 148 (24.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:28:30.528012
Analysis finished2023-12-12 06:28:31.176989
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

경로당명
Text

Distinct606
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-12T15:28:31.474380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length5.0928339
Min length2

Characters and Unicode

Total characters3127
Distinct characters290
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

Unique598 ?
Unique (%)97.4%

Sample

1st row객사1리
2nd row객사2리
3rd row객사3리
4th row객사4리
5th row객사5리
ValueCountFrequency (%)
내리 2
 
0.3%
주공4단지아파트 2
 
0.3%
건영아파트 2
 
0.3%
한일아파트 2
 
0.3%
수촌 2
 
0.3%
신대2리 2
 
0.3%
방축2리 2
 
0.3%
적봉리 2
 
0.3%
방축1리 2
 
0.3%
서광아파트 1
 
0.2%
Other values (601) 601
96.9%
2023-12-12T15:28:32.121541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 318
 
10.2%
아 160
 
5.1%
트 124
 
4.0%
1 120
 
3.8%
파 115
 
3.7%
2 114
 
3.6%
지 74
 
2.4%
3 67
 
2.1%
( 46
 
1.5%
) 46
 
1.5%
Other values (280) 1943
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2585
82.7%
Decimal Number 407
 
13.0%
Open Punctuation 46
 
1.5%
Close Punctuation 46
 
1.5%
Uppercase Letter 26
 
0.8%
Space Separator 9
 
0.3%
Lowercase Letter 6
 
0.2%
Other Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 318
 
12.3%
아 160
 
6.2%
트 124
 
4.8%
파 115
 
4.4%
지 74
 
2.9%
이 45
 
1.7%
단 44
 
1.7%
동 40
 
1.5%
정 38
 
1.5%
신 38
 
1.5%
Other values (252) 1589
61.5%
Decimal Number
ValueCountFrequency (%)
1 120
29.5%
2 114
28.0%
3 67
16.5%
4 42
 
10.3%
5 34
 
8.4%
6 14
 
3.4%
7 8
 
2.0%
9 4
 
1.0%
8 3
 
0.7%
0 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
L 6
23.1%
H 6
23.1%
S 4
15.4%
K 4
15.4%
C 2
 
7.7%
G 1
 
3.8%
I 1
 
3.8%
F 1
 
3.8%
N 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
e 3
50.0%
h 1
 
16.7%
n 1
 
16.7%
f 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2585
82.7%
Common 510
 
16.3%
Latin 32
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 318
 
12.3%
아 160
 
6.2%
트 124
 
4.8%
파 115
 
4.4%
지 74
 
2.9%
이 45
 
1.7%
단 44
 
1.7%
동 40
 
1.5%
정 38
 
1.5%
신 38
 
1.5%
Other values (252) 1589
61.5%
Common
ValueCountFrequency (%)
1 120
23.5%
2 114
22.4%
3 67
13.1%
( 46
 
9.0%
) 46
 
9.0%
4 42
 
8.2%
5 34
 
6.7%
6 14
 
2.7%
9
 
1.8%
7 8
 
1.6%
Other values (5) 10
 
2.0%
Latin
ValueCountFrequency (%)
L 6
18.8%
H 6
18.8%
S 4
12.5%
K 4
12.5%
e 3
9.4%
C 2
 
6.2%
G 1
 
3.1%
I 1
 
3.1%
F 1
 
3.1%
N 1
 
3.1%
Other values (3) 3
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2585
82.7%
ASCII 542
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 318
 
12.3%
아 160
 
6.2%
트 124
 
4.8%
파 115
 
4.4%
지 74
 
2.9%
이 45
 
1.7%
단 44
 
1.7%
동 40
 
1.5%
정 38
 
1.5%
신 38
 
1.5%
Other values (252) 1589
61.5%
ASCII
ValueCountFrequency (%)
1 120
22.1%
2 114
21.0%
3 67
12.4%
( 46
 
8.5%
) 46
 
8.5%
4 42
 
7.7%
5 34
 
6.3%
6 14
 
2.6%
9
 
1.7%
7 8
 
1.5%
Other values (18) 42
 
7.7%

도로명주소
Text

Distinct613
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
2023-12-12T15:28:32.528170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length42
Mean length22.180782
Min length14

Characters and Unicode

Total characters13619
Distinct characters251
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

Unique612 ?
Unique (%)99.7%

Sample

1st row경기도 평택시 팽성읍 동서촌로129번길 20-9
2nd row경기도 평택시 팽성읍 동서촌로 112-1
3rd row경기도 평택시 팽성읍 부용로 65-5
4th row경기도 평택시 팽성읍 부용로31번길 37-3
5th row경기도 평택시 팽성읍 안정로 126
ValueCountFrequency (%)
경기도 614
 
19.4%
평택시 614
 
19.4%
팽성읍 62
 
2.0%
포승읍 52
 
1.6%
청북읍 51
 
1.6%
안중읍 48
 
1.5%
비전동 43
 
1.4%
오성면 36
 
1.1%
현덕면 34
 
1.1%
고덕면 33
 
1.0%
Other values (945) 1573
49.8%
2023-12-12T15:28:33.080621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2627
19.3%
평 660
 
4.8%
택 646
 
4.7%
기 633
 
4.6%
경 628
 
4.6%
도 626
 
4.6%
시 620
 
4.6%
1 499
 
3.7%
길 422
 
3.1%
동 310
 
2.3%
Other values (241) 5948
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8081
59.3%
Space Separator 2627
 
19.3%
Decimal Number 2150
 
15.8%
Close Punctuation 267
 
2.0%
Open Punctuation 266
 
2.0%
Dash Punctuation 165
 
1.2%
Other Punctuation 44
 
0.3%
Uppercase Letter 12
 
0.1%
Lowercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 660
 
8.2%
택 646
 
8.0%
기 633
 
7.8%
경 628
 
7.8%
도 626
 
7.7%
시 620
 
7.7%
길 422
 
5.2%
동 310
 
3.8%
로 284
 
3.5%
읍 213
 
2.6%
Other values (212) 3039
37.6%
Decimal Number
ValueCountFrequency (%)
1 499
23.2%
2 297
13.8%
3 266
12.4%
5 233
10.8%
4 211
9.8%
7 152
 
7.1%
6 146
 
6.8%
0 139
 
6.5%
8 114
 
5.3%
9 93
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
S 2
16.7%
L 2
16.7%
A 2
16.7%
B 2
16.7%
R 1
8.3%
T 1
8.3%
H 1
8.3%
K 1
8.3%
Lowercase Letter
ValueCountFrequency (%)
h 2
28.6%
e 1
14.3%
s 1
14.3%
a 1
14.3%
r 1
14.3%
p 1
14.3%
Space Separator
ValueCountFrequency (%)
2627
100.0%
Close Punctuation
ValueCountFrequency (%)
) 267
100.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 165
100.0%
Other Punctuation
ValueCountFrequency (%)
, 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8081
59.3%
Common 5519
40.5%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 660
 
8.2%
택 646
 
8.0%
기 633
 
7.8%
경 628
 
7.8%
도 626
 
7.7%
시 620
 
7.7%
길 422
 
5.2%
동 310
 
3.8%
로 284
 
3.5%
읍 213
 
2.6%
Other values (212) 3039
37.6%
Common
ValueCountFrequency (%)
2627
47.6%
1 499
 
9.0%
2 297
 
5.4%
) 267
 
4.8%
( 266
 
4.8%
3 266
 
4.8%
5 233
 
4.2%
4 211
 
3.8%
- 165
 
3.0%
7 152
 
2.8%
Other values (5) 536
 
9.7%
Latin
ValueCountFrequency (%)
S 2
10.5%
L 2
10.5%
A 2
10.5%
h 2
10.5%
B 2
10.5%
R 1
 
5.3%
e 1
 
5.3%
T 1
 
5.3%
H 1
 
5.3%
K 1
 
5.3%
Other values (4) 4
21.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8081
59.3%
ASCII 5538
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2627
47.4%
1 499
 
9.0%
2 297
 
5.4%
) 267
 
4.8%
( 266
 
4.8%
3 266
 
4.8%
5 233
 
4.2%
4 211
 
3.8%
- 165
 
3.0%
7 152
 
2.7%
Other values (19) 555
 
10.0%
Hangul
ValueCountFrequency (%)
평 660
 
8.2%
택 646
 
8.0%
기 633
 
7.8%
경 628
 
7.8%
도 626
 
7.7%
시 620
 
7.7%
길 422
 
5.2%
동 310
 
3.8%
로 284
 
3.5%
읍 213
 
2.6%
Other values (212) 3039
37.6%

전화번호
Text

MISSING 

Distinct460
Distinct (%)98.7%
Missing148
Missing (%)24.1%
Memory size4.9 KiB
2023-12-12T15:28:33.329995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.004292
Min length12

Characters and Unicode

Total characters5594
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique454 ?
Unique (%)97.4%

Sample

1st row031-691-5039
2nd row031-691-0057
3rd row031-691-9000
4th row031-691-4694
5th row031-691-7353
ValueCountFrequency (%)
031-686-9888 2
 
0.4%
031-681-1426 2
 
0.4%
031-663-0050 2
 
0.4%
031-691-1507 2
 
0.4%
031-682-0347 2
 
0.4%
031-662-1231 2
 
0.4%
031-681-8131 1
 
0.2%
031-681-9463 1
 
0.2%
031-684-0893 1
 
0.2%
031-684-0335 1
 
0.2%
Other values (450) 450
96.6%
2023-12-12T15:28:33.689474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 932
16.7%
1 821
14.7%
6 794
14.2%
3 744
13.3%
0 694
12.4%
8 380
6.8%
5 298
 
5.3%
2 286
 
5.1%
4 228
 
4.1%
9 218
 
3.9%
Other values (2) 199
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4661
83.3%
Dash Punctuation 932
 
16.7%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 821
17.6%
6 794
17.0%
3 744
16.0%
0 694
14.9%
8 380
8.2%
5 298
 
6.4%
2 286
 
6.1%
4 228
 
4.9%
9 218
 
4.7%
7 198
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 932
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5594
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 932
16.7%
1 821
14.7%
6 794
14.2%
3 744
13.3%
0 694
12.4%
8 380
6.8%
5 298
 
5.3%
2 286
 
5.1%
4 228
 
4.1%
9 218
 
3.9%
Other values (2) 199
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5594
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 932
16.7%
1 821
14.7%
6 794
14.2%
3 744
13.3%
0 694
12.4%
8 380
6.8%
5 298
 
5.3%
2 286
 
5.1%
4 228
 
4.1%
9 218
 
3.9%
Other values (2) 199
 
3.6%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
경기도 평택시청
614 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 평택시청
2nd row경기도 평택시청
3rd row경기도 평택시청
4th row경기도 평택시청
5th row경기도 평택시청

Common Values

ValueCountFrequency (%)
경기도 평택시청 614
100.0%

Length

2023-12-12T15:28:33.854757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:28:33.984514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 614
50.0%
평택시청 614
50.0%

관리부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
노인장애인과
614 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인장애인과 614
100.0%

Length

2023-12-12T15:28:34.109200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:28:34.211690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인장애인과 614
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.9 KiB
Minimum2023-01-31 00:00:00
Maximum2023-01-31 00:00:00
2023-12-12T15:28:34.297244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:28:34.419865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T15:28:31.005060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:28:31.119911image/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

경로당명도로명주소전화번호관리기관명관리부서명데이터기준일자
0객사1리경기도 평택시 팽성읍 동서촌로129번길 20-9031-691-5039경기도 평택시청노인장애인과2023-01-31
1객사2리경기도 평택시 팽성읍 동서촌로 112-1031-691-0057경기도 평택시청노인장애인과2023-01-31
2객사3리경기도 평택시 팽성읍 부용로 65-5031-691-9000경기도 평택시청노인장애인과2023-01-31
3객사4리경기도 평택시 팽성읍 부용로31번길 37-3031-691-4694경기도 평택시청노인장애인과2023-01-31
4객사5리경기도 평택시 팽성읍 안정로 126031-691-7353경기도 평택시청노인장애인과2023-01-31
5객사6리경기도 평택시 팽성읍 동서촌로 161-10031-657-9152경기도 평택시청노인장애인과2023-01-31
6근내리경기도 평택시 팽성읍 근내1길 25031-691-5255경기도 평택시청노인장애인과2023-01-31
7남산1리경기도 평택시 팽성읍 팽성남산1길 14031-691-4411경기도 평택시청노인장애인과2023-01-31
8남산3리경기도 평택시 팽성읍 팽성남산3길 11-13031-691-3263경기도 평택시청노인장애인과2023-01-31
9남산4리경기도 평택시 팽성읍 팽성남산길 39 진양연립 4동 102호<NA>경기도 평택시청노인장애인과2023-01-31
경로당명도로명주소전화번호관리기관명관리부서명데이터기준일자
604인광1리경기도 평택시 현덕면 인광1길 109031-681-1411경기도 평택시청노인장애인과2023-01-31
605인광2리경기도 평택시 현덕면 인광2길 55-17<NA>경기도 평택시청노인장애인과2023-01-31
606인광3리경기도 평택시 현덕면 인광3길 80031-683-0508경기도 평택시청노인장애인과2023-01-31
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